[ Vlado Keselj's home page ]
[ Publications by:  date |  type | *content ] [ Format: *HTML |  ref.style ]

Publications by Content

The publications below are grouped by similar domain. The groups may overlap.

BioNLP - Biomedical and Health NLP
  1. [icdm2020ws] Graph-based Topic Extraction using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions
    Dijana Kosmajac, Kirstie Smith, Vlado Keselj, and Susan Kirkland. In Proceedings of 1st IEEE ICDM Workshop on Data Mining for Healthy Aging, IEEE ICDM 2020, Sorrento, Italy, 2020.
    [ id: icdm2020ws | PDF | BibTeX | bibitem ]

  2. [cag18] Older Adults' Perspectives on Healthy Aging in the Canadian Longitudinal Study on Aging: A Machine Learning Approach to Qualitative Analysis
    Susan Kirkland, Dhivya Jayaraman, Vlado Keselj, Matko Bosnjak, Lindsay Kobayashi, Theo D. Cosco, Yoko Ishigami-Doyle. Vancouver, BC, Canada, CAG2018.ca Making it Matter: Mobilizing Aging Research, Practice and Policy, 2018. Extended abstract.
    [ id: cag18 | BibTeX | bibitem ]

  3. [dcsi18d] Automatic Summarization of Canadian Longitudinal Study on Aging (CLSA) Data
    Dhivya Jayaraman and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI~2018), 2018. Extended abstract.
    [ id: dcsi18d | BibTeX | bibitem ]

PTEP - Universal Preprocessing and Text-Embedded Programming
  1. [vk2022-infoteh] A Proposal for Universal Preprocessing and Text-Embedded Programming (PTEP) System
    Vlado Keselj. In Proceedings of 21th International Symposium INFOTEH-JAHORINA 2022 IEEE Digital Library, East Sarajevo, Bosnia and Herzegovina, March 2022.
    [ id: vk2022-infoteh | PDF | BibTeX | bibitem ]

  2. [arx2020-sfish] Starfish: A Prototype for Universal Preprocessing and Text-Embedded Programming
    Vlado Keselj. Technical Report 2007.02366, arXiv.org no. 2007.02366, 2020. http://arxiv.org/abs/2007.02366
    [ id: arx2020-sfish | BibTeX | bibitem ]

  3. [pj05] Starfish: A Perl-based Framework for Text-Embedded Programming and Preprocessing
    Keselj, Vlado. The Perl Journal, June 2005. https://www.drdobbs.com/web-development/text-embedded-programming-and-preprocess/184416214.
    [ id: pj05 | BibTeX | bibitem ]

AATT - Authorship and Style Attribution
  1. [clef2020] Twitter User Profiling: Bot and Gender Identification
    Dijana Kosmajac, Vlado Keselj. In Proceedings of CLEF 2020, International Conference of the Cross-Langauge Evaluation Forum for European Languages Springer, Cham, 2020.
    [ id: clef2020 | BibTeX | bibitem ]

  2. [icnlsp] Twitter Bot Detection using Diversity Measures
    Dijana Kosmajac, Vlado Keselj. In Proceedings of the 3rd International Conference on Natural Language and Speech Processing 2019, Trento, Italy, September 2019.
    [ id: icnlsp | PDF | BibTeX | bibitem ]

  3. [clef2019] User Profiling: Bot and Gender Identification
    Dijana Kosmajac, Vlado Keselj. In CLEF 2019 Working Notes, PAN Lab on Digital Text Forensics and Stylometry, Lugano, Switzerland, September 2019.
    [ id: clef2019 | BibTeX | bibitem ]

FinNLP - Financial NLP and Financial Prediction
  1. [foodreport2023] Canada's Food Price Report 2023, 13th Edition
    Sylvain Charlebois, Andrea Rankin, Stacey Taylor, Vlado Keselj, Gumataw Abebe, Stefanie Colombo, Kathleen Kevany, Paola A. Marignani, Janet Music, Rick Nason, Phoebe Stephens, Samantha Taylor, Simon Somogyi, Ethan Jackson, Graham Taylor, Maria Corradini, Sara El-Shawa, Jess Halnes, Paul Uys, Erna Van Duren, Stuart Smyth, Rim Lassoued, Kelleen Wiseman, Richard Brichello, Matias Margulis, Isabelle Lavole, Janet Lord, Kim Humes, Erin Lee. Dalhousie University, University of Guelph, University of Saskatchewan, University of British Columbia, 2022. https://www.dal.ca/sites/agri-food/research/canada-s-food-price-report-2023.html.
    [ id: foodreport2023 | BibTeX | bibitem ]

  2. [st2022-bigdata] Don't Blindly use Data: Towards a Data Statement for Computational Financial Research
    Stacey Taylor and Vlado Keselj. In Proceedings of the IEEE BigData Conference, Workshiop on Responsible AI and Data Ethics (RAIDE), 2022.
    [ id: st2022-bigdata | BibTeX | bibitem ]

  3. [foodreport2022] Canada's Food Price Report 2022
    Sylvain Charlebois, Alyssa Gerhardt, Stacey Taylor, Mitchell Kane, Vlado Keselj, Elizabeth Fitting, Kathleen Kevany, Stefanie Colombo, Janet Music, Don Fiander, Tiff-Annie Kenny, Gumataw Abebe, Simon Somogyi, Ethan Jackson, Sara El-Shawa, Graham Taylor, Jess Haines, Maria Corradini, Paul Uys, Erna Van Duren, Stuart Smyth, James Vercammen, Kelleen Wiseman, Richard Brichello, Matias Margulis, Krisha Lim, Meng Zhang,. Dalhousie University, University of Guelph, University of Saskatchewan, University of British Columbia, 2021.
    [ id: foodreport2022 | BibTeX | bibitem ]

  4. [cbi2021] Predicting the Distress of Financial Intermediaries using Convolutional Neural Networks
    Stacey Taylor and Vlado Keselj. In Proceedings of the IEEE Conference on Business Informatics (CBI 2021), IEEE CBI Forum on Artificial Intelligence, and Data-Driven Business Analytics and Applications, 2021.
    [ id: cbi2021 | BibTeX | bibitem ]

  5. [finnlp2020] Using Extractive Lexicon-based Sentiment Analysis to Enhance Understanding of the Impact of Non-GAAP Measures in Financial Reporting
    Stacey Taylor and Vlado Keselj. In Proceedings of the Second Workshop on Financial Technology and Natural Language Processing (FinNLP 2020), Workshop of IJCAI-PRICAI 2020, Virtual Conference, 2020.
    [ id: finnlp2020 | BibTeX | bibitem ]

  6. [enclp2020] e-Commerce and Sentiment Analysis: Predicting Outcomes of Class Action Lawsuits
    Stacey Taylor, Vlado Keselj. In Proceedings of the Third Workshop on e-Commerce and NLP, ACL 2020 Conference. Virtual Conference, July 2020.
    [ id: enclp2020 | BibTeX | bibitem ]

  7. [BigData2019Y] Stock Prediction using Deep Learning and Sentiment Analysis
    Yichuan Xu, Vlado Keselj. In Proceedings of the IEEE BigData Conference, Workshop on Big Data for Financial News and Data, Los Angeles, CA, USA, December 2019.
    [ id: BigData2019Y | PDF | BibTeX | bibitem ]

  8. [BigData2019A] Evaluating Sentiment Classifiers for Bitcoin Tweets in Price Prediction Task
    Balfagih, Ahmed and Keselj, Vlado. In Proceedings of the IEEE BigData Conference, Workshop on Big Data for Financial News and Data, Los Angeles, CA, USA, December 2019.
    [ id: BigData2019A | BibTeX | bibitem ]

  9. [foodreport2019] Canada's Food Price Report 2019
    Sylvain Charlebois, Eamonn McGuinty, Vlado Keselj, Caterine Mah, Andrea Giusto, Janet Music, Simon Somogyi, Francis Tapon, Paul Uys, Erna Van Duren, Jay Harris, Joon Son. Dalhousie University, University of Guelph, Nova Scotia Community College (NSCC), 2018.
    [ id: foodreport2019 | BibTeX | bibitem ]

  10. [doceng18-tsu] A Market Analytics Approach to Restaurant Review Data
    Olga Tsubiks and Vlado Keselj. In Proceedings of the 18th ACM Symposium on Document Engineering ACM, Halifax, NS, Canada, 2018.
    [ id: doceng18-tsu | BibTeX | bibitem ]

CNG - Character-level N-Grams for Text and Data Mining
  1. [infoteh2020] Language Distance using Common N-grams Approach
    Dijana Kosmajac, Vlado Keselj. In Proceedings of 19th International Symposium INFOTEH-JAHORINA 2020. IEEE Digital Library, Jahorina, Bosnia and Herzegovina, March 2020.
    [ id: infoteh2020 | BibTeX | bibitem ]

  2. [coling2014] Author Verification using Common N-gram Profiles of Text Documents
    Magdalena Jankowska, Evangelos Milios, and Vlado Keselj. In Proceedings of COLING 2014, 2014.
    [ id: coling2014 | BibTeX | bibitem ]

  3. [c13t] Detecting and Rating Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech
    Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. In Computational Approaches to Assistive Technologies for People with Disabilities IOS Press, Inc. Fairfax, VA, USA, pp. 154-171, 2013.
    [ id: c13t | BibTeX | bibitem ]

  4. [webist2011] Classifying Web Pages by Genre: Dealing with Unbalanced Distributions, Multiple Labels, and Noise
    Jane E. Mason, Michael Shepherd, Jack Duffy, and Vlado Keselj. In Proceedings of WEBIST 2011, 7th International Conference on Web Information Systems and Technologies, Noordwijkerhout, The Netherlands, May 2011.
    [ id: webist2011 | BibTeX | bibitem ]

  5. [hicss2010] An n-gram Based Approach to Multi-labeled Web Page Genre Classification
    Jane E. Mason, Michael Shepherd, Jack Duffy, Vlado Keselj, Carolyn Watters. In Proceedings of 43rd Hawaii International Conference on System Sciences, Hawaii, January 2010.
    [ id: hicss2010 | BibTeX | bibitem ]

  6. [icmc09] MidiVis: Visualizing Music Pieces Structure via Similarity Matrices
    Jacek Wolkowicz, Stephen Brooks, Vlado Keselj. In Proceedings of ICMC2009, The 2009 International Computer Music Conference, Montreal, Quebec, Canada, August 2009.
    [ id: icmc09 | BibTeX | bibitem ]

  7. [ai09a] Financial Forecasting using Character N-Gram Analysis and Readability Scores of Annual Reports
    Matthew Butler and Vlado Keselj. In Proceedings of Canadian AI'2009, Kelowna, BC, Canada, May 2009.
    [ id: ai09a | PDF | BibTeX | bibitem ]

  8. [evostar2009] Evolving Indirectly Represented Melodies with Corpus-based Fitness Evaluation
    Jacek Wolkowicz, Malcolm Heywood, Vlado Keselj. In 7th European Workshop on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART'2009), Tubingen, Germany, April 2009.
    [ id: evostar2009 | BibTeX | bibitem ]

  9. [jacek08] n-Gram Based Approach to Composer Recognition
    Jacek Wolkowicz, Zbigniew Kulka, and Vlado Keselj. Archives of Acoustics, vol.  33, no.  1, pp.  43-55, 2008.
    [ id: jacek08 | BibTeX | bibitem ]

  10. [swf] Swordfish2: Using Kernel Density Estimation to Smooth Ngram Models for Morphological Analysis
    Chris Jordan, Jane E. Tougas, John Healy, Vlado Keselj, and Carolyn Watters. Journal of Interesting Negative Results in Natural Language Processing and Machine Learning, vol.  1, pp.  1-18, 2008.
    [ id: swf | BibTeX | bibitem ]

  11. [stemmer08] A Suffix Subsumption-based Approach to Building Stemmers and Lemmatizers for Highly Inflectional Languages with Sparse Resources
    Vlado Keselj and Danko Sipka. INFOTHECA, Journal of Informatics and Librarianship, vol. IX, no. 1--2, pp. 23a-33a, 21--31, May 2008.
    [ id: stemmer08 | BibTeX | bibitem ]

  12. [hl05] Combined Mining of Web Server Logs and Web Contents for Classifying User Navigation Patterns and Predicting Users' Future Requests
    Haibin Liu and Vlado Keselj. Elsevier Science Publishers Data & Knowledge Engineering, vol. 61, no. 2, pp. 304-330, May 2007. http://portal.acm.org/citation.cfm?id=1231807&coll=ACM&dl=GUIDE&CFID=16181180&CFTOKEN=48738923#. (Published on-line in 2006).
    [ id: hl05 | BibTeX | bibitem ]

  13. [sigir06] Swordfish: An Unsupervised Ngram Based Approach to Morphological Analysis
    Chris Jordan, John Healy, and Vlado Keselj. In SIGIR '06: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ACM Press, Seattle, Washington, USA, pp.  657-658, August 2006.
    [ id: sigir06 | BibTeX | bibitem ]

  14. [SNLP05J] Automatic Categorization of Author Gender via N-Gram Analysis
    Jonathan Doyle and Vlado Keselj. In The 6th Symposium on Natural Language Processing, SNLP'2005, Chiang Rai, Thailand, December 2005.
    [ id: SNLP05J | PDF | BibTeX | bibitem ]

  15. [DalTREC05spam] DalTREC 2005 Spam Track: Spam Filtering using N-gram-based Techniques
    Vlado Keselj, Evangelos Milios, Andrew Tuttle, Singer Wang, and Roger Zhang. In The Fourtheenth Text REtrieval Conference (TREC 2005) Proceedings, Gaithersburg, Maryland, USA, November 2005.
    [ id: DalTREC05spam | PDF | PostScript | BibTeX | bibitem ]

  16. Combined Mining of Web Server Logs and Web Contents
    Haibin Liu and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI 2005), 2005. Extended abstract.

  17. [cikm05] Document Clustering using Character N-grams: A Comparative Evaluation with Term-based and Word-based Clustering
    Yingbo Miao, Vlado Keselj, and Evangelos Milios. In Proceedings of ACM Fourteenth Conference on Information and Knowledge Management (CIKM 2005), Bremen, Germany, November 2005.
    [ id: cikm05 | BibTeX | bibitem ]

  18. [icma05] Automatic Detection and Rating of Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech
    Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. In Proceedings of IEEE ICMA 2005, Niagara Falls, Ontario, Canada, July 2005.
    [ id: icma05 | PDF | BibTeX | bibitem ]

  19. [pacling05a] Biological Named Entity Recognition using N-grams and Classification Methods
    Sittichai Jiampojamarn, Nick Cercone, and Vlado Keselj. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'05, Meisei University, Hino Campus, Hino-shi, Tokyo, 191-8506 Japan, August 2005.
    [ id: pacling05a | PDF | BibTeX | bibitem ]

  20. [gen05] n-gram-based Classification and Unsupervised Hierarchical Clustering of Genome Sequences
    Andrija Tomovic, Predrag Janicic, and Vlado Keselj. Computer Methods and Programs in Biomedicine, vol. 81, pp. 137-153, February 2006. https://www.sciencedirect.com/science/article/pii/S0169260705002361.
    [ id: gen05 | PDF | BibTeX | bibitem ]

  21. [ai05] Integrating Web Content Clustering into Web Log Association Rule Mining
    Jiayun Guo, Vlado Keselj, and Qigang Gao. In Proceedings of Canadian AI'2005, Victoria, BC, Canada,, volume LNAI 3501 of Lecture Notes in Computer Science, Springer pp. 182-193, May 2005.
    [ id: ai05 | PDF | BibTeX | bibitem ]

  22. [tr0523] Document Clustering using Character N-grams: A Comparative Evaluation with Term-based and Word-based Clustering
    Yingbo Miao, Vlado Keselj, and Evangelos Milios. Halifax, NS, Canada, Technical Report CS-2005-23, Faculty of Computer Science, Dalhousie University no. CS-2005-23, September 2005. http://www.cs.dal.ca/research/techreports/cs-2005-23
    [ id: tr0523 | BibTeX | bibitem ]

  23. [tr0502] N-gram-based Classification and Hierarchical Clustering of Genome Sequences
    Tomovic, Andrija, Janicic, Predrag, and Keselj, Vlado. Halifax, NS, Canada, Technical Report CS-2005-02, Faculty of Computer Science, Dalhousie University no. CS-2005-02, March 2005. http://www.cs.dal.ca/research/techreports/cs-2005-02
    [ id: tr0502 | PostScript | BibTeX | bibitem ]

  24. [pst04] Detection of New Malicious Code Using N-gram Signatures
    Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, and Ray Sweidan. In Proceedings of the Second Annual Conference on Privacy, Security, and Trust (PST'04), Fredericton, New Brunswick, Canada, October 2004.
    [ id: pst04 | PDF | BibTeX | bibitem ]

  25. [BTX] Two Experiments in Biological Term Annotation using Classification Methods
    Sittichai Jiampojamarn, Vlado Keselj, and Nick Cercone. In Proceedings of the First Biotechnology and Bioinformatics Symposium (BIOT-04), Colorado Springs, Colorado, USA, September 2004.
    [ id: BTX | PDF | BibTeX | bibitem ]

  26. N-gram-based Detection of New Malicious Code
    Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, and Ray Sweidan. In The 28th Annual International Computer Software and Applications Conference (IEEE COMPSAC~2004), Hong Kong, China, September 2004.

  27. [aaac] CNG Method with Weighted Voting
    Vlado Keselj and Nick Cercone. In Ad-hoc Authorship Attribution Competition (AAAC), June 2004. Part of ALLC/ACH 2004 conference, extended abstract..
    [ id: aaac | PDF | PostScript | BibTeX | bibitem ]

  28. [is2004] Analysis of Spontaneous Speech in Dementia of Alzheimer Type: Experiments with Morphological and Lexical Analysis
    Vlado Keselj, Nick Cercone, Calvin Thomas, Ken Rockwood, and Elissa Asp., June 2004. Talk given at the PUL Workshop, 23-Apr-2004; Poster and abstract presented at IS'2004 Conference in Ottawa, June 2004..
    [ id: is2004 | BibTeX | bibitem ]

  29. [tee] Automatic biological term annotation using classification
    Sittichai Jiampojamarn, Vlado Keselj, Nick Cercone. The Annual Dalhousie Computer Science In-House Conference (DCSI 2004), 2004. Poster, extended abstract.
    [ id: tee | BibTeX | bibitem ]

  30. [Kes03] N-gram-based Author Profiles for Authorship Attribution
    Vlado Keselj, Fuchun Peng, Nick Cercone, and Calvin Thomas. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'03, Dalhousie University, Halifax, Nova Scotia, Canada, pp. 255-264, August 2003.
    [ id: Kes03 | PDF | PostScript | BibTeX | bibitem ]

  31. [Peng03] Automated Authorship Attribution with Character Level Language Models
    Fuchun Peng, Dale Schuurmans, Vlado Keselj, and Shaojun Wang. In Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2003), Budapest, Hungary, April 12--17 2003.
    [ id: Peng03 | PDF | PostScript | BibTeX | bibitem ]

  32. [ottawa04] Unobtrusive Technology for Alzheimer's Disease
    Kenneth Rockwood, Elissa Asp, Vlado Keselj, and Michael McAllister. Ottawa, Canada, Poster presentation given at the PRECARN Intelligent Healthcare Technologies presentation, related to the Prime Ministers' meeting..
    [ id: ottawa04 | BibTeX | bibitem ]

  33. [Keselj2003d] Computational analysis of language used by Alzheimer patients in interviews: An objective method for discriminating between healthy and demented individuals
    Keselj, Vlado, Asp, Elissa, Rockwood, Kenneth, and Cercone, Nick. In 6th Annual Symposium on the Treatment of Alzheimer's Disease, Halifax, Nova Scotia, November 26--29 2003.
    [ id: Keselj2003d | BibTeX | bibitem ]

Behavioural Analytics using Machine Learning
  1. [cai23g] Mimicking Electronic Gaming Machine Player Behavior using Reinforcement Learning
    Jariwala, Gaurav and Keselj, Vlado. In Proceedings of Canadian AI'2023, McGill University, Montreal, QC, Canada, June 2023.
    [ id: cai23g | PDF | BibTeX | bibitem ]

  2. [hg2022] It's more than Memes: User Risk Appetite and App Enjoyment Predict Simulated Mobile Trading App Behavior
    Gawai, Harsh M., Conrad, Colin D., and Keselj, Vlado. In CONF-IRM 2022 Proceedings, International Conference on Information Resources Management (CONF-IRM), 2022.
    [ id: hg2022 | BibTeX | bibitem ]

  3. [cbi2021] Predicting the Distress of Financial Intermediaries using Convolutional Neural Networks
    Stacey Taylor and Vlado Keselj. In Proceedings of the IEEE Conference on Business Informatics (CBI 2021), IEEE CBI Forum on Artificial Intelligence, and Data-Driven Business Analytics and Applications, 2021.
    [ id: cbi2021 | BibTeX | bibitem ]

  4. [doceng18-tsu] A Market Analytics Approach to Restaurant Review Data
    Olga Tsubiks and Vlado Keselj. In Proceedings of the 18th ACM Symposium on Document Engineering ACM, Halifax, NS, Canada, 2018.
    [ id: doceng18-tsu | BibTeX | bibitem ]

  5. [bdia2017] Identifying Electronic Gaming Machine Gambling Personae through Unsupervised Session Classification
    Maria Gabriella Mosquera and Vlado Keselj. American Institute of Mathematical Sciences Big Data and Information Analytics (BDIA), vol. 2, no. 2, pp.  141-175, April 2017.
    [ id: bdia2017 | BibTeX | bibitem ]

  6. [cbi2016political] Predicting Political Donations Using Twitter Hashtags and Character N-Grams
    Colin Conrad, and Vlado Keselj. In Proceedings of the IEEE Conference on Business Informatics (CBI 2016), 2016.
    [ id: cbi2016political | BibTeX | bibitem ]

  7. [beams15] Identifying Behavioral Characteristics in EGM Gambling Data Using Session Clustering
    Gabriella Mosquera and Vlado Keselj. In Proceedings of BEAMS 15, Workshop at the IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NS, USA, November 2015.
    [ id: beams15 | BibTeX | bibitem ]

  8. [cbi2014ws] Collective Sentiment Mining of Microblogs in 24-hour Stock Price Movement Prediction
    Feifei Xu and Vlado Keselj. In Proceedings of the W3SC 2014 Workshop at the IEEE Conference on Business Informatics (CBI 2014), 2014.
    [ id: cbi2014ws | BibTeX | bibitem ]

  9. [ai09a] Financial Forecasting using Character N-Gram Analysis and Readability Scores of Annual Reports
    Matthew Butler and Vlado Keselj. In Proceedings of Canadian AI'2009, Kelowna, BC, Canada, May 2009.
    [ id: ai09a | PDF | BibTeX | bibitem ]

  10. [ai09b] Optimizing a Pseudo Financial Factor Model with Support Vector Machine and Genetic Programming
    Matthew Butler and Vlado Keselj. In Proceedings of Canadian AI'2009, Kelowna, BC, Canada, May 2009.
    [ id: ai09b | PDF | BibTeX | bibitem ]

  11. [hl05] Combined Mining of Web Server Logs and Web Contents for Classifying User Navigation Patterns and Predicting Users' Future Requests
    Haibin Liu and Vlado Keselj. Elsevier Science Publishers Data & Knowledge Engineering, vol. 61, no. 2, pp. 304-330, May 2007. http://portal.acm.org/citation.cfm?id=1231807&coll=ACM&dl=GUIDE&CFID=16181180&CFTOKEN=48738923#. (Published on-line in 2006).
    [ id: hl05 | BibTeX | bibitem ]

Deep Learning
  1. [ab2022-icisdm] N-gram and Word2Vec Feature Engineering Approaches for Spam Recognition on Some Influential Twitter Topics in Saudi Arabia
    Balfagih, Ahmed, Keselj, Vlado, and Taylor, Stacey. In Proceedings of the 2022 ICISDM 6th International Conference on Information Systems and Data Mining., 2022.
    [ id: ab2022-icisdm | BibTeX | bibitem ]

  2. [cbi2021] Predicting the Distress of Financial Intermediaries using Convolutional Neural Networks
    Stacey Taylor and Vlado Keselj. In Proceedings of the IEEE Conference on Business Informatics (CBI 2021), IEEE CBI Forum on Artificial Intelligence, and Data-Driven Business Analytics and Applications, 2021.
    [ id: cbi2021 | BibTeX | bibitem ]

  3. [cnsm2020] Deep Learning Models towards Gesture-controlled Drone Operation
    Tahajjat Begum, Israat Haque, and Vlado Keselj. In Proceedings of AnServApp 2020, 2nd International Workshop on Analytics for Service and Application Management, with CNSM 2020, 2020.
    [ id: cnsm2020 | BibTeX | bibitem ]

  4. [BigData2019Y] Stock Prediction using Deep Learning and Sentiment Analysis
    Yichuan Xu, Vlado Keselj. In Proceedings of the IEEE BigData Conference, Workshop on Big Data for Financial News and Data, Los Angeles, CA, USA, December 2019.
    [ id: BigData2019Y | PDF | BibTeX | bibitem ]

Data Mining
  1. [beams15] Identifying Behavioral Characteristics in EGM Gambling Data Using Session Clustering
    Gabriella Mosquera and Vlado Keselj. In Proceedings of BEAMS 15, Workshop at the IEEE International Conference on Data Mining (ICDM 2015), Atlantic City, NS, USA, November 2015.
    [ id: beams15 | BibTeX | bibitem ]

  2. [ai10m] Data Mining Techniques for Proactive Fault Diagnostics of Electronic Gaming Machines
    Matthew Butler and Vlado Keselj. In Proceedings of Canadian AI'2010, Ottawa, ON, Canada,, volume LNAI 6085 of Lecture Notes in Computer Science, Springer pp. 366-369, May 2010.
    [ id: ai10m | BibTeX | bibitem ]

  3. [ai09a] Financial Forecasting using Character N-Gram Analysis and Readability Scores of Annual Reports
    Matthew Butler and Vlado Keselj. In Proceedings of Canadian AI'2009, Kelowna, BC, Canada, May 2009.
    [ id: ai09a | PDF | BibTeX | bibitem ]

  4. [ai09b] Optimizing a Pseudo Financial Factor Model with Support Vector Machine and Genetic Programming
    Matthew Butler and Vlado Keselj. In Proceedings of Canadian AI'2009, Kelowna, BC, Canada, May 2009.
    [ id: ai09b | PDF | BibTeX | bibitem ]

  5. [ai05] Integrating Web Content Clustering into Web Log Association Rule Mining
    Jiayun Guo, Vlado Keselj, and Qigang Gao. In Proceedings of Canadian AI'2005, Victoria, BC, Canada,, volume LNAI 3501 of Lecture Notes in Computer Science, Springer pp. 182-193, May 2005.
    [ id: ai05 | PDF | BibTeX | bibitem ]

NLP for Languages with Sparse Resources
  1. [infoteh2019] Automatic Text Summarization of News Articles in Serbian Language
    Dijana Kosmajac, Vlado Keselj. In Proceedings of 18th International Symposium INFOTEH-JAHORINA. IEEE Digital Library, Jahorina, Bosnia and Herzegovina, March 2019.
    [ id: infoteh2019 | BibTeX | bibitem ]

  2. [infoteh18] Slavic Language Identification using Cascade Classifier Approach
    Dijana Kosmajac, Vlado Keselj. In Proceedings of 17th International Symposium INFOTEH-JAHORINA. IEEE Digital Library, Jahorina, Bosnia and Herzegovina, March 2018.
    [ id: infoteh18 | BibTeX | bibitem ]

Term Extraction
  1. [doceng18-sim] Automatic Term Extraction in Technical Domain using Part-of-Speech and Common-Word Features
    Nisha Simon and Vlado Keselj. In Proceedings of the 18th ACM Symposium on Document Engineering ACM, Halifax, NS, Canada, 2018.
    [ id: doceng18-sim | BibTeX | bibitem ]

Bioinformatics
  1. [ci13] Exploring a Subgraph Matching Approach for Extracting Biological Events from Literature
    Haibin Liu, Vlado Keselj, and Christian Blouin. Wiley Periodicals, Inc. Computational Intelligence, vol. 30, no. 3, pp. 600-635, 2014.
    [ id: ci13 | BibTeX | bibitem ]

  2. [plosone2013] Approximate Subgraph Matching-based Literature Mining for Biomedical Events and Relations
    Haibin Liu, Lawrence Hunter, Vlado Keselj, and Karin Verspoor. Public Library of Science PLOS ONE, vol. 8, April 2013.
    [ id: plosone2013 | BibTeX | bibitem ]

  3. [aaai-irkd] Subgraph Matching-based Literature Mining for Biomedical Relations and Events
    Haibin Liu, Vlado Keselj, Christian Blouin, and Karin Verspoor. In Proceedings of AAAI-2012 Fall Symposium on Information Retrieval and Knowledge Discovery in Biomedical Text, Arlington, VA, USA, Nov 2012.
    [ id: aaai-irkd | BibTeX | bibitem ]

  4. [smbm2010] Biological Event Extraction using Subgraph Matching
    Haibin Liu, Vlado Keselj, and Christian Blouin. In Proceedings of the 4th International Symposium on Semantic Mining in Biomedicine (SMBM-2010), Hinxton, Cambridgeshire, UK, October 2010.
    [ id: smbm2010 | BibTeX | bibitem ]

  5. [dke09] Sentence identification of biological interactions using PATRICIA tree generated patterns and genetic algorithm optimized parameters
    Haibin Liu, Christian Blouin, and Vlado Keselj. Elsevier Science Publishers Data & Knowledge Engineering, vol. 69, no. 1, pp. 137-152, 2010. http://dx.doi.org/10.1016/j.datak.2009.09.002.
    [ id: dke09 | BibTeX | bibitem ]

  6. [apics09k] EulMiner: A Graph-based Interactive Visualization for Biomedical Term Identification
    Katherine Magee and Vlado Keselj. Dalhousie University, Halifax, Canada, APICS 2009 -- APICS Mathematics, Statistics and Computer Science Conference, 2009. Poster.
    [ id: apics09k | BibTeX | bibitem ]

  7. [strebio09] Finding Optimal Parameters for Edit Distance Based Sequence Classification is NP-Hard
    Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, Chris Whidden. In Proceedings of StReBio'09, KDD-09 Workshop on Statistical Relational Mining and Learning in Bioinformatics , Paris, France, June 2009.
    [ id: strebio09 | BibTeX | bibitem ]

  8. [bionlp09] Identifying Interaction Sentences from Biological Literature Using Automatically Extracted Patterns
    Haibin Liu, Christian Blouin, and Vlado Keselj. In Proceedings of BioNLP 2009, NAACL/HLT 2009 Workshop, Boulder, Colorado, USA, 2009.
    [ id: bionlp09 | BibTeX | bibitem ]

  9. [tr0801] An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature
    Haibin Liu, Christian Blouin, and Vlado Keselj. Halifax, NS, Canada, Technical Report CS-2008-01, Faculty of Computer Science, Dalhousie University no. CS-2008-01, January 2008. http://www.cs.dal.ca/research/techreports/cs-2008-01
    [ id: tr0801 | PDF | BibTeX | bibitem ]

  10. [acl07] An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature
    Haibin Liu, Christian Blouin, and Vlado Keselj. In Proceedings of BioNLP 2007, ACL 2007 Workshop, Prague, Czech Republic, June 29 2007.
    [ id: acl07 | BibTeX | bibitem ]

  11. A Practical Method for Extracting Prefixes and Suffixes of Biological Terms
    Haibin Liu, Christian Blouin, Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (#dcsi 2007) pp.  1-2, 2007. Extended abstract.

  12. [pacling05a] Biological Named Entity Recognition using N-grams and Classification Methods
    Sittichai Jiampojamarn, Nick Cercone, and Vlado Keselj. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'05, Meisei University, Hino Campus, Hino-shi, Tokyo, 191-8506 Japan, August 2005.
    [ id: pacling05a | PDF | BibTeX | bibitem ]

  13. [gen05] n-gram-based Classification and Unsupervised Hierarchical Clustering of Genome Sequences
    Andrija Tomovic, Predrag Janicic, and Vlado Keselj. Computer Methods and Programs in Biomedicine, vol. 81, pp. 137-153, February 2006. https://www.sciencedirect.com/science/article/pii/S0169260705002361.
    [ id: gen05 | PDF | BibTeX | bibitem ]

  14. [BTX] Two Experiments in Biological Term Annotation using Classification Methods
    Sittichai Jiampojamarn, Vlado Keselj, and Nick Cercone. In Proceedings of the First Biotechnology and Bioinformatics Symposium (BIOT-04), Colorado Springs, Colorado, USA, September 2004.
    [ id: BTX | PDF | BibTeX | bibitem ]

  15. [tee] Automatic biological term annotation using classification
    Sittichai Jiampojamarn, Vlado Keselj, Nick Cercone. The Annual Dalhousie Computer Science In-House Conference (DCSI 2004), 2004. Poster, extended abstract.
    [ id: tee | BibTeX | bibitem ]

Health Informatics
  1. [info24] Common N-Gram Method (CNG): A Promising Approach to Detecting Mental Health Disorders on Social Media
    Agarwal, Harshit and Keselj, Vlado. In Proceedings of 23th International Symposium INFOTEH-JAHORINA 2024 IEEE Digital Library, March 2024.
    [ id: info24 | PDF | BibTeX | bibitem ]

  2. [icdm2020ws] Graph-based Topic Extraction using Centroid Distance of Phrase Embeddings on Healthy Aging Open-ended Survey Questions
    Dijana Kosmajac, Kirstie Smith, Vlado Keselj, and Susan Kirkland. In Proceedings of 1st IEEE ICDM Workshop on Data Mining for Healthy Aging, IEEE ICDM 2020, Sorrento, Italy, 2020.
    [ id: icdm2020ws | PDF | BibTeX | bibitem ]

  3. [cag18] Older Adults' Perspectives on Healthy Aging in the Canadian Longitudinal Study on Aging: A Machine Learning Approach to Qualitative Analysis
    Susan Kirkland, Dhivya Jayaraman, Vlado Keselj, Matko Bosnjak, Lindsay Kobayashi, Theo D. Cosco, Yoko Ishigami-Doyle. Vancouver, BC, Canada, CAG2018.ca Making it Matter: Mobilizing Aging Research, Practice and Policy, 2018. Extended abstract.
    [ id: cag18 | BibTeX | bibitem ]

  4. [dcsi18d] Automatic Summarization of Canadian Longitudinal Study on Aging (CLSA) Data
    Dhivya Jayaraman and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI~2018), 2018. Extended abstract.
    [ id: dcsi18d | BibTeX | bibitem ]

  5. [ci13] Exploring a Subgraph Matching Approach for Extracting Biological Events from Literature
    Haibin Liu, Vlado Keselj, and Christian Blouin. Wiley Periodicals, Inc. Computational Intelligence, vol. 30, no. 3, pp. 600-635, 2014.
    [ id: ci13 | BibTeX | bibitem ]

  6. [c13t] Detecting and Rating Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech
    Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. In Computational Approaches to Assistive Technologies for People with Disabilities IOS Press, Inc. Fairfax, VA, USA, pp. 154-171, 2013.
    [ id: c13t | BibTeX | bibitem ]

  7. [c13l] Speech and Prosodic Processing for Assistive Technology
    Lalita Narupiyakul, Vlado Keselj, Nick Cercone, and Booncharoen Sirinaovakul. In Computational Approaches to Assistive Technologies for People with Disabilities IOS Press, Inc. Fairfax, VA, USA, pp. 36-48, 2013.
    [ id: c13l | BibTeX | bibitem ]

  8. [plosone2013] Approximate Subgraph Matching-based Literature Mining for Biomedical Events and Relations
    Haibin Liu, Lawrence Hunter, Vlado Keselj, and Karin Verspoor. Public Library of Science PLOS ONE, vol. 8, April 2013.
    [ id: plosone2013 | BibTeX | bibitem ]

  9. [aaai-irkd] Subgraph Matching-based Literature Mining for Biomedical Relations and Events
    Haibin Liu, Vlado Keselj, Christian Blouin, and Karin Verspoor. In Proceedings of AAAI-2012 Fall Symposium on Information Retrieval and Knowledge Discovery in Biomedical Text, Arlington, VA, USA, Nov 2012.
    [ id: aaai-irkd | BibTeX | bibitem ]

  10. [ahic12] PifMed: A System for Categorical Exploration of MEDLINE Articles using the MeSH Taxonomy
    Pif Edwards and Vlado Keselj. In Proceedings of Advances in Health Informatics Conference, AHIC'2012, Toronto, ON, Canada, April 2012.
    [ id: ahic12 | PDF | BibTeX | bibitem ]

  11. [cahspr2011] Developing Indicators for Sedative-Hypnotic Drug Use at an Acute Care Hospital in Nova Scotia
    Kunal Mohindra, Ingrid Sketris, Heather Lummis, Susan Bowles, and Vlado Keselj. Annual Conference of the Canadian Association for Health Services and Policy Research (CAHSPR), May 2011. Abstract and poster presentation (refereed by abstract).
    [ id: cahspr2011 | BibTeX | bibitem ]

  12. [smbm2010] Biological Event Extraction using Subgraph Matching
    Haibin Liu, Vlado Keselj, and Christian Blouin. In Proceedings of the 4th International Symposium on Semantic Mining in Biomedicine (SMBM-2010), Hinxton, Cambridgeshire, UK, October 2010.
    [ id: smbm2010 | BibTeX | bibitem ]

  13. [ai10p] MeSH Represented MEDLINE Query Results
    Pif Edwards and Vlado Keselj. In Proceedings of Canadian AI'2010, Ottawa, ON, Canada,, volume LNAI 6085 of Lecture Notes in Computer Science, Springer pp. 75-86, May 2010.
    [ id: ai10p | BibTeX | bibitem ]

  14. [dke09] Sentence identification of biological interactions using PATRICIA tree generated patterns and genetic algorithm optimized parameters
    Haibin Liu, Christian Blouin, and Vlado Keselj. Elsevier Science Publishers Data & Knowledge Engineering, vol. 69, no. 1, pp. 137-152, 2010. http://dx.doi.org/10.1016/j.datak.2009.09.002.
    [ id: dke09 | BibTeX | bibitem ]

  15. [apics09k] EulMiner: A Graph-based Interactive Visualization for Biomedical Term Identification
    Katherine Magee and Vlado Keselj. Dalhousie University, Halifax, Canada, APICS 2009 -- APICS Mathematics, Statistics and Computer Science Conference, 2009. Poster.
    [ id: apics09k | BibTeX | bibitem ]

  16. [strebio09] Finding Optimal Parameters for Edit Distance Based Sequence Classification is NP-Hard
    Vlado Keselj, Haibin Liu, Norbert Zeh, Christian Blouin, Chris Whidden. In Proceedings of StReBio'09, KDD-09 Workshop on Statistical Relational Mining and Learning in Bioinformatics , Paris, France, June 2009.
    [ id: strebio09 | BibTeX | bibitem ]

  17. [bionlp09] Identifying Interaction Sentences from Biological Literature Using Automatically Extracted Patterns
    Haibin Liu, Christian Blouin, and Vlado Keselj. In Proceedings of BioNLP 2009, NAACL/HLT 2009 Workshop, Boulder, Colorado, USA, 2009.
    [ id: bionlp09 | BibTeX | bibitem ]

  18. [tr0905] MedicInfoSys: An Architecture for an Evidence-Based Medical Information Research and Delivery System
    Pif Edwards and Vlado Keselj. Halifax, NS, Canada, Technical Report CS-2009-05, Faculty of Computer Science, Dalhousie University no. CS-2009-05, October 2009. http://www.cs.dal.ca/research/techreports/cs-2009-05
    [ id: tr0905 | BibTeX | bibitem ]

  19. [tr0801] An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature
    Haibin Liu, Christian Blouin, and Vlado Keselj. Halifax, NS, Canada, Technical Report CS-2008-01, Faculty of Computer Science, Dalhousie University no. CS-2008-01, January 2008. http://www.cs.dal.ca/research/techreports/cs-2008-01
    [ id: tr0801 | PDF | BibTeX | bibitem ]

  20. [acl07] An Unsupervised Method for Extracting Domain-specific Affixes in Biological Literature
    Haibin Liu, Christian Blouin, and Vlado Keselj. In Proceedings of BioNLP 2007, ACL 2007 Workshop, Prague, Czech Republic, June 29 2007.
    [ id: acl07 | BibTeX | bibitem ]

  21. A Practical Method for Extracting Prefixes and Suffixes of Biological Terms
    Haibin Liu, Christian Blouin, Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (#dcsi 2007) pp.  1-2, 2007. Extended abstract.

  22. [ishimr06] Advancing Health Information Management and Health Informatics: Issues, Strategies, and Tools; Proceedings of the 11th International Symposium for Health Information Management Research (iSHIMR 2006)
    Syed Sibte Raza Abidi, Peter Bath, and Vlado Keselj (eds.). Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada, July 2006.
    [ id: ishimr06 | BibTeX | bibitem ]

  23. [ha] A Semi-Structured e-Forms Approach to Deployment of Electronic Clinical Guidelines: A Proposal
    Haewon Chung, Vlado Keselj, and Ray Sweidan. In Proceedings of the 11th International Symposium on Health Information Management Research (iSHIMR 2006) Faculty of Computer Science, Dalhousie University, Halifax, Canada, pp.  289-295, 2006.
    [ id: ha | BibTeX | bibitem ]

  24. [icma05] Automatic Detection and Rating of Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech
    Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. In Proceedings of IEEE ICMA 2005, Niagara Falls, Ontario, Canada, July 2005.
    [ id: icma05 | PDF | BibTeX | bibitem ]

  25. [is2004] Analysis of Spontaneous Speech in Dementia of Alzheimer Type: Experiments with Morphological and Lexical Analysis
    Vlado Keselj, Nick Cercone, Calvin Thomas, Ken Rockwood, and Elissa Asp., June 2004. Talk given at the PUL Workshop, 23-Apr-2004; Poster and abstract presented at IS'2004 Conference in Ottawa, June 2004..
    [ id: is2004 | BibTeX | bibitem ]

  26. [ottawa04] Unobtrusive Technology for Alzheimer's Disease
    Kenneth Rockwood, Elissa Asp, Vlado Keselj, and Michael McAllister. Ottawa, Canada, Poster presentation given at the PRECARN Intelligent Healthcare Technologies presentation, related to the Prime Ministers' meeting..
    [ id: ottawa04 | BibTeX | bibitem ]

  27. [Keselj2003d] Computational analysis of language used by Alzheimer patients in interviews: An objective method for discriminating between healthy and demented individuals
    Keselj, Vlado, Asp, Elissa, Rockwood, Kenneth, and Cercone, Nick. In 6th Annual Symposium on the Treatment of Alzheimer's Disease, Halifax, Nova Scotia, November 26--29 2003.
    [ id: Keselj2003d | BibTeX | bibitem ]

Detection and Rating of Dementia of Alzheimer Type
  1. [c13t] Detecting and Rating Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech
    Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. In Computational Approaches to Assistive Technologies for People with Disabilities IOS Press, Inc. Fairfax, VA, USA, pp. 154-171, 2013.
    [ id: c13t | BibTeX | bibitem ]

  2. [icma05] Automatic Detection and Rating of Dementia of Alzheimer Type through Lexical Analysis of Spontaneous Speech
    Calvin Thomas, Vlado Keselj, Nick Cercone, Kenneth Rockwood, and Elissa Asp. In Proceedings of IEEE ICMA 2005, Niagara Falls, Ontario, Canada, July 2005.
    [ id: icma05 | PDF | BibTeX | bibitem ]

  3. [is2004] Analysis of Spontaneous Speech in Dementia of Alzheimer Type: Experiments with Morphological and Lexical Analysis
    Vlado Keselj, Nick Cercone, Calvin Thomas, Ken Rockwood, and Elissa Asp., June 2004. Talk given at the PUL Workshop, 23-Apr-2004; Poster and abstract presented at IS'2004 Conference in Ottawa, June 2004..
    [ id: is2004 | BibTeX | bibitem ]

  4. [ottawa04] Unobtrusive Technology for Alzheimer's Disease
    Kenneth Rockwood, Elissa Asp, Vlado Keselj, and Michael McAllister. Ottawa, Canada, Poster presentation given at the PRECARN Intelligent Healthcare Technologies presentation, related to the Prime Ministers' meeting..
    [ id: ottawa04 | BibTeX | bibitem ]

  5. [Keselj2003d] Computational analysis of language used by Alzheimer patients in interviews: An objective method for discriminating between healthy and demented individuals
    Keselj, Vlado, Asp, Elissa, Rockwood, Kenneth, and Cercone, Nick. In 6th Annual Symposium on the Treatment of Alzheimer's Disease, Halifax, Nova Scotia, November 26--29 2003.
    [ id: Keselj2003d | BibTeX | bibitem ]

Grammars and Parsing
  1. [FET] Focus to Emphasize Tone Analysis for Prosodic Generation
    Lalita Narupiyakul, Vlado Keselj, Nick Cercone, and Booncharoen Sirinaovakul. Elsevier Computers and Mathematics with Applications, vol.  55, no.  8, pp.  1735-1753, 2008.
    [ id: FET | BibTeX | bibitem ]

  2. [subg] A Formal Approach to Subgrammar Extraction for NLP
    Vlado Keselj and Nick Cercone. Elsevier Mathematical and Computer Modelling, vol.  45, pp.  394-403, February 2007.
    [ id: subg | BibTeX | bibitem ]

  3. [mitacs06] Probabilistic Inference in First-Order Logic Using Relaxed Unification
    Tony Abou-Assaleh, Vlado Keselj, and Nick Cercone. York University, Toronto, ON, CAIMS-MITACS 2006 Joint Annual Conference Poster presentation; Tony awarded 3rd prize.
    [ id: mitacs06 | BibTeX | bibitem ]

  4. [SNLP05L] Focus and Speech Act in Prosodic Analysis for Spoken Language Generation
    Lalita Narupiyakul, Nick Cercone, Vlado Keselj, and Booncharoen Sirinaovakul. In The 6th Symposium on Natural Language Processing, SNLP'2005, Chiang Rai, Thailand, December 2005.
    [ id: SNLP05L | BibTeX | bibitem ]

  5. [pacling05b] Question-Answering with Relaxed Unification
    Tony Abou-Assaleh, Nick Cercone, and Vlado Keselj. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'05, Meisei University, Hino Campus, Hino-shi, Tokyo, 191-8506 Japan, August 2005.
    [ id: pacling05b | BibTeX | bibitem ]

  6. [compsac05] A Probabilistic Evaluation Function for Relaxed Unification
    Tony Abou-Assaleh, Nick Cercone, and Vlado Keselj. In The 29th Annual International Computer Software and Applications Conference (IEEE COMPSAC~2005), Edinburgh, Scotland, July 2005.
    [ id: compsac05 | BibTeX | bibitem ]

  7. Applying HPSG with Relaxed Unification to Question Answering
    Tony Abou-Assaleh, Nick Cercone, Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI 2004), 2004. Poster, extended abstract.

  8. [c03] From Computational to Web Intelligence
    Nick Cercone, Lijun Hou, Vlado Keselj, Aijun An, and Kanlaya Naruedomkul. In Computing and Information Sciences: Recent Trends, Misra, J.C., Ed. Narosa Publishing House, New Delhi, pp. 163-178, 2003.
    [ id: c03 | BibTeX | bibitem ]

  9. [UM] A Graph Unification Machine for NL Parsing
    Keselj, Vlado and Cercone, Nick. Computers and Mathematics with Applications, vol. 46, pp. 393-419, 2003.
    [ id: UM | BibTeX | bibitem ]

  10. [TAA03b] An Overview of the Theory of Relaxed Unification
    Abou-Assaleh, Tony, Cercone, Nick, and Keselj, Vlado. In Proceedings of the International Conference on Advances in the Internet, Processing, Systems, Interdisciplinary Research, IPSI-2003, Sveti Stefan, Serbia and Montenegro, October 5--11, 2003.
    [ id: TAA03b | BibTeX | bibitem ]

  11. [ismis03] Towards the Theory of Relaxed Unification
    Abou-Assaleh, Tony, Cercone, Nick, and Keselj, Vlado. In Proceedings of the 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, Maebashi City, Japan,, volume LNAI 2871 of Lecture Notes in Computer Science, Springer, October 28--31, 2003.
    [ id: ismis03 | BibTeX | bibitem ]

  12. [TAA03a] Expressing Probabilistic Context-Free Grammars in the Relaxed Unification Formalism
    Abou-Assaleh, Tony, Cercone, Nick, and Keselj, Vlado. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'03, Dalhousie University, Halifax, Nova Scotia, Canada, pp. 29-36, August 2003.
    [ id: TAA03a | BibTeX | bibitem ]

  13. [Cercone02] From Computational Intelligence to Web Intelligence
    Nick Cercone, Lijun Hou, Vlado Keselj, Aijun An, Kanlaya Naruedomkul, and Xiaohua Hu. IEEE Computer, vol. 35, no. 11, pp. 72-76, November 2002.
    [ id: Cercone02 | BibTeX | bibitem ]

  14. [Keselj2001d] Modular HPSG
    Keselj, Vlado. In Proceedings of the 2001 IEEE Systems, Man, and Cybernetics Conference , Tucson, Arizona, USA, October 2001.
    [ id: Keselj2001d | PDF | PostScript | BibTeX | bibitem ]

  15. [Keselj2001c] Just-in-time subgrammar extraction for HPSG
    Keselj, Vlado and Cercone, Nick. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'01, Kitakyushu, Japan, September 2001.
    [ id: Keselj2001c | PostScript | BibTeX | bibitem ]

  16. [Keselj2001] Question Answering using Unification-based Grammar
    Keselj, Vlado. In Advances in Artificial Intelligence, AI 2001, Stroulia, Eleni and Matwin, Stan, Ed. Ottawa, Canada,, volume LNAI 2056 of Lecture Notes in Computer Science, Springer pp. 297-306, June 2001.
    [ id: Keselj2001 | PostScript | BibTeX | bibitem ]

  17. [Keselj:2000] An HPSG formalism for Implementing a Java parser
    Keselj, Vlado. In The Fourth Symposium on Natural Language Processing, SNLP'2000, Chiang Mai, Thailand, May 2000.
    [ id: Keselj:2000 | PostScript | BibTeX | bibitem ]

  18. [Keselj:1999] Java parser for HPSGs: Why and How
    Keselj, Vlado. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'99, Cercone, Nick and Kogure, Kiyoshi and Naruedomkul, Kanlaya, Ed. Waterloo, Ontario, Canada, pp. 288-294, August 1999.
    [ id: Keselj:1999 | PostScript | BibTeX | bibitem ]

  19. [Keselj:1998:GMG] Grammar Model and Grammar Induction in the System NL PAGE
    Keselj, Vlado. In Grammatical Inference, 4th International Colloquium (ICGI-98), Honavar, Vasant and Slutzki, Giora, Ed. Springer, Ames, Iowa, USA,, volume 1433 of Lecture Notes in Computer Science pp. 57-66, 1998.
    [ id: Keselj:1998:GMG | PostScript | BibTeX | bibitem ]

  20. [Keselj2002a] A Graph Unification Machine for NL Parsing
    Keselj, Vlado and Cercone, Nick. Waterloo, Ontario, Canada, Technical Report CS-2002-01, Department of Computer Science, University of Waterloo no. CS-2002-01, January 2002. http://www.cs.uwaterloo.ca/cs-archive/CS-2002/01
    [ id: Keselj2002a | PostScript | BibTeX | bibitem ]

  21. [Keselj2001b] Just-in-time subgrammar extraction for HPSG
    Keselj, Vlado. Waterloo, Ontario, Canada, Technical Report CS-2001-08, Department of Computer Science, University of Waterloo no. CS-2001-08, March 2001. http://www.cs.uwaterloo.ca/cs-archive/CS-2001/08
    [ id: Keselj2001b | PostScript | BibTeX | bibitem ]

  22. [Keselj2001a] Modular HPSG
    Keselj, Vlado. Waterloo, Ontario, Canada, Technical Report CS-2001-05, Department of Computer Science, University of Waterloo no. CS-2001-05, February 2001. http://www.cs.uwaterloo.ca/cs-archive/CS-2001/05
    [ id: Keselj2001a | PostScript | BibTeX | bibitem ]

  23. [Keselj:1999a] Stefy: Java Parser for HPSGs, Version 0.1
    Keselj, Vlado. Waterloo, Ontario, Canada, Technical Report CS-99-26, Department of Computer Science, University of Waterloo no. CS-99-26, 2000. http://www.cs.uwaterloo.ca/cs-archive/CS-1999/26
    [ id: Keselj:1999a | BibTeX | bibitem ]

  24. [Keselj2002b] Modular Stochastic HPSGs for Question Answering
    Keselj, Vlado. Waterloo, Ontario, Canada, School of Computer Science, University of Waterloo no. CS-2002-28, June 2002.
    [ id: Keselj2002b | PostScript | BibTeX | bibitem ]

Question Answering
  1. [DalTREC07qa] DalTREC 2007 QA System Jellyfish: Experiments with Integration of Lucene and GATE, and Improved Usage of WordNet and Qrel
    Tony Abou-Assaleh, Chris Whidden, Vlado Keselj, Hathai Tanta-ngai, and Nick Cercone. In The Fiftheenth Text REtrieval Conference (TREC 2007), Gaithersburg, Maryland, USA, November 2007.
    [ id: DalTREC07qa | BibTeX | bibitem ]

  2. [DalTREC06qa] DalTREC 2006 QA System Jellyfish: Regular Expressions Mark-and-Match Approach to Question Answering
    Vlado Keselj, Tony Abou-Assaleh, and Nick Cercone. In The Fourtheenth Text REtrieval Conference (TREC 2006), Gaithersburg, Maryland, USA, November 2006.
    [ id: DalTREC06qa | BibTeX | bibitem ]

  3. [DalTREC05qa] DalTREC 2005 QA System Jellyfish: Mark-and-Match Approach to Question Answering
    Tony Abou-Assaleh, Nick Cercone, Jon Doyle, Vlado Keselj, and Chris Whidden. In The Fourtheenth Text REtrieval Conference (TREC 2005) Proceedings, Gaithersburg, Maryland, USA, November 2005.
    [ id: DalTREC05qa | PDF | PostScript | BibTeX | bibitem ]

  4. [pacling05b] Question-Answering with Relaxed Unification
    Tony Abou-Assaleh, Nick Cercone, and Vlado Keselj. In Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'05, Meisei University, Hino Campus, Hino-shi, Tokyo, 191-8506 Japan, August 2005.
    [ id: pacling05b | BibTeX | bibitem ]

  5. [DalTREC04] DalTREC 2004: Question Answering using Regular Expression Rewriting
    Vlado Keselj, Anthony Cox. In The Thirteenth Text REtrieval Conference (TREC 2004) Proceedings, Gaithersburg, Maryland, USA, November 2004.
    [ id: DalTREC04 | PDF | PostScript | BibTeX | bibitem ]

  6. [Keselj2001] Question Answering using Unification-based Grammar
    Keselj, Vlado. In Advances in Artificial Intelligence, AI 2001, Stroulia, Eleni and Matwin, Stan, Ed. Ottawa, Canada,, volume LNAI 2056 of Lecture Notes in Computer Science, Springer pp. 297-306, June 2001.
    [ id: Keselj2001 | PostScript | BibTeX | bibitem ]

  7. [Keselj2002b] Modular Stochastic HPSGs for Question Answering
    Keselj, Vlado. Waterloo, Ontario, Canada, School of Computer Science, University of Waterloo no. CS-2002-28, June 2002.
    [ id: Keselj2002b | PostScript | BibTeX | bibitem ]

  8. [Keselj2000] TREC-9 Question Answering: Some general and some specific issues
    Keselj, Vlado. Waterloo, Canada, December 2000. An informal and incomplete report on TREC-9 QA track; write-up of a talk given on the seminar for the Stat-NLP group.
    [ id: Keselj2000 | PostScript | BibTeX | bibitem ]

ReEx Rewriting Transformations
  1. [DalTREC07qa] DalTREC 2007 QA System Jellyfish: Experiments with Integration of Lucene and GATE, and Improved Usage of WordNet and Qrel
    Tony Abou-Assaleh, Chris Whidden, Vlado Keselj, Hathai Tanta-ngai, and Nick Cercone. In The Fiftheenth Text REtrieval Conference (TREC 2007), Gaithersburg, Maryland, USA, November 2007.
    [ id: DalTREC07qa | BibTeX | bibitem ]

  2. [DalTREC06qa] DalTREC 2006 QA System Jellyfish: Regular Expressions Mark-and-Match Approach to Question Answering
    Vlado Keselj, Tony Abou-Assaleh, and Nick Cercone. In The Fourtheenth Text REtrieval Conference (TREC 2006), Gaithersburg, Maryland, USA, November 2006.
    [ id: DalTREC06qa | BibTeX | bibitem ]

  3. [DalTREC05qa] DalTREC 2005 QA System Jellyfish: Mark-and-Match Approach to Question Answering
    Tony Abou-Assaleh, Nick Cercone, Jon Doyle, Vlado Keselj, and Chris Whidden. In The Fourtheenth Text REtrieval Conference (TREC 2005) Proceedings, Gaithersburg, Maryland, USA, November 2005.
    [ id: DalTREC05qa | PDF | PostScript | BibTeX | bibitem ]

  4. [pj05] Starfish: A Perl-based Framework for Text-Embedded Programming and Preprocessing
    Keselj, Vlado. The Perl Journal, June 2005. https://www.drdobbs.com/web-development/text-embedded-programming-and-preprocess/184416214.
    [ id: pj05 | BibTeX | bibitem ]

  5. [DalTREC04] DalTREC 2004: Question Answering using Regular Expression Rewriting
    Vlado Keselj, Anthony Cox. In The Thirteenth Text REtrieval Conference (TREC 2004) Proceedings, Gaithersburg, Maryland, USA, November 2004.
    [ id: DalTREC04 | PDF | PostScript | BibTeX | bibitem ]

  6. [sts04] Lexical Source-Code Transformation
    Anthony Cox, Tony Abou-Assaleh, Wei Ai, Vlado Keselj. In Proceedings of the STS'04 Workshop at GPCE/OOPSLA, Vancouver, Canada, October 2004.
    [ id: sts04 | BibTeX | bibitem ]

Computational Morphology and Lexicology
  1. [swf] Swordfish2: Using Kernel Density Estimation to Smooth Ngram Models for Morphological Analysis
    Chris Jordan, Jane E. Tougas, John Healy, Vlado Keselj, and Carolyn Watters. Journal of Interesting Negative Results in Natural Language Processing and Machine Learning, vol.  1, pp.  1-18, 2008.
    [ id: swf | BibTeX | bibitem ]

  2. [stemmer08] A Suffix Subsumption-based Approach to Building Stemmers and Lemmatizers for Highly Inflectional Languages with Sparse Resources
    Vlado Keselj and Danko Sipka. INFOTHECA, Journal of Informatics and Librarianship, vol. IX, no. 1--2, pp. 23a-33a, 21--31, May 2008.
    [ id: stemmer08 | BibTeX | bibitem ]

  3. [sigir06] Swordfish: An Unsupervised Ngram Based Approach to Morphological Analysis
    Chris Jordan, John Healy, and Vlado Keselj. In SIGIR '06: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ACM Press, Seattle, Washington, USA, pp.  657-658, August 2006.
    [ id: sigir06 | BibTeX | bibitem ]

  4. [nooj] What do users want from an on-line dictionary: A seven-years usage study of an e-dictionary
    Vlado Keselj and Tanja Keselj. In 9th INTEX/NooJ Conference, Belgrade, Serbia, 2006.
    [ id: nooj | BibTeX | bibitem ]

  5. [Coling04] R{j}ecnik.com: English--Serbo-Croatian Electronic Dictionary
    Vlado Keselj, Tanja Keselj, and Larisa Zlatic. In Proceedings of COLING'04 Workshop on Enhancing and Using Electronic Dictionaries. Geneve, Switzerland, August 2004.
    [ id: Coling04 | PDF | PostScript | BibTeX | bibitem ]

Semantic Web and Peer-to-Peer for Research Support
  1. [apics09h] Building a Self-organizing Peer-to-peer Network in Shrack -- A P2P System for Scientific Document Tracking
    Hathai Tanta-ngai, Vlado Keselj, and Evangelos E. Milios. APICS 2009 -- APICS Mathematics, Statistics and Computer Science Conference, 2009. Extended abstract.
    [ id: apics09h | BibTeX | bibitem ]

  2. [cnikm09] Self-organizing Peer-to-Peer Network for Collaborative Document Tracking
    Hathai Tanta-ngai, Evangelos E. Milios, Vlado Keselj. In Proceedings of CIKM 2009 Workshop. Complex Networks in Information & Knowledge Management. ACM Eighteenth Conference on Information and Knowledge Management (CIKM'2009), Hongkong, China., November 2009.
    [ id: cnikm09 | BibTeX | bibitem ]

  3. [hotp2p] Shrack: Description and Performance Evaluation of a Peer-to-Peer System for Document Sharing and Tracking using Pull-Only Information Dissemination
    Hathai Tanta-ngai, Vlado Keselj, Evangelos E. Milios. In Proceedings of The Fourth International Workshop on Hot Topics in Peer-to-Peer Systems (Hot-P2P), Workshop of 21st IEEE International Parallel & Distributed Processing Symposium, Long Beach, California, USA, March 2007.
    [ id: hotp2p | PDF | BibTeX | bibitem ]

  4. Shrack: A Pull-Only Peer-to-Peer Framework for Document Sharing and Tracking
    Hathai Tanta-ngai, Vlado Keselj, and Evangelos E. Milios. The Annual Dalhousie Computer Science In-House Conference (#dcsi 2007) pp.  9-10, 2007. Extended abstract.

  5. [ppdn] PPDN--A Framework for Peer-to-peer Collaborative Research Network
    Vlado Keselj and Nick Cercone. In Proceedings of The Second International Workshop on Web-based Support Systems (WSS'04), Beijing, China, pp. 88-93, September 2004. In conjunction with 2004 IEEE/WIC/ACM International Conference on Web Intelligence..
    [ id: ppdn | PDF | PostScript | BibTeX | bibitem ]

  6. [wss230] Experiments in Web Page Classification for Semantic Web
    Asad Satti, Nick Cercone, and Vlado Keselj. In Proceedings of The Second International Workshop on Web-based Support Systems (WSS'04), Beijing, China, September 2004. In conjunction with 2004 IEEE/WIC/ACM International Conference on Web Intelligence..
    [ id: wss230 | PDF | BibTeX | bibitem ]

Computational Number Theory
  1. Efficient Pairing-Based Cryptography
    Gregory Zaverucha and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI 2005), 2005. Extended abstract.

  2. [tr1996] Length of Finite Pierce Series: Theoretical Analysis and Numerical Computations
    Keselj, Vlado. Waterloo, Ontario, Canada, Technical Report CS-96-21, Department of Computer Science, University of Waterloo no. CS-96-21, 1996. http://www.cs.uwaterloo.ca/cs-archive/CS-1996/21
    [ id: tr1996 | PDF | PostScript | BibTeX | bibitem ]

Multi-Agent Systems
  1. [wi2005] QTIP: Multi-Agent NLP and Privacy Architecture for Information Retrieval in Usable Web Privacy Software
    Vlado Keselj and Dawn Jutla. In Proceedings of IEEE/WIC/ACM Web Intelligence Conference 2005, Compiegne University of Technology, France, 2005. 18% acceptance rate.
    [ id: wi2005 | PDF | BibTeX | bibitem ]

  2. [tr98] Multi-agent systems for Internet information retrieval using natural language processing
    Keselj, Vlado. Waterloo, Ontario, Canada, Technical Report CS-98-24, Department of Computer Science, University of Waterloo no. CS-98-24, 1998. http://www.cs.uwaterloo.ca/cs-archive/CS-1998/24. Reprint of Master's thesis.
    [ id: tr98 | PDF | BibTeX | bibitem ]

  3. [MTh] Multi-agent systems for Internet information retrieval using natural language processing
    Keselj, Vlado. Waterloo, Ontario, Canada, Department of Computer Science, University of Waterloo, 1998. Reprinted as [tr98].
    [ id: MTh | BibTeX | bibitem ]

Other
  1. Cross-lingual Tokenization of Slavic Languages in Large Language Models
    Wranik-Lohrenz, Tymon, Abramson, Darren, and Keselj, Vlado. In Proceedings of FASL33, Halifax, NS, Canada, May 2024.
    [ id: fasl33a | BibTeX | bibitem ]

  2. Don't Worry Accountants, ChatGPT Won't be Taking Your Job... Yet
    Taylor, Stacey and Keselj, Vlado. In Proceedings of Canadian AI'2023, McGill University, Montreal, QC, Canada, June 2023.
    [ id: cai23s | PDF | BibTeX | bibitem ]

  3. Automated Authorship Attribution using CNG Distance on Blog Posts in the Serbian Language
    Keselj, Vlado. In Proceedings of 22th International Symposium INFOTEH-JAHORINA 2023 IEEE Digital Library, Bosnia and Herzegovina, March 2023. https://ieeexplore.ieee.org/document/10094205.
    [ id: info23 | PDF | BibTeX | bibitem ]

  4. Twitter Arabic Dialect Identification using Different Feature Engineering Models
    Balfagih, Ahmed and Keselj, Vlado. The Communications of the IBIMA, 2023. Accepted, extended version of the conference paper..
    [ id: ab2023-ibima-j | BibTeX | bibitem ]

  5. Twitter Arabic Dialect Identification using Different Feature Engineering Models
    Balfagih, Ahmed and Keselj, Vlado. In Proceedings of the 40th IBIMA Conference, 2023.
    [ id: ab2023-ibima | BibTeX | bibitem ]

  6. Twitter Arabic Dialect Identification using AraBERT
    Balfagih, Ahmed and Keselj, Vlado. In Proceedings of 39th IBIMA Conference, 2022.
    [ id: ab2022-ibima | BibTeX | bibitem ]

  7. N-gram and Word2Vec Feature Engineering Approaches for Spam Recognition on Some Influential Twitter Topics in Saudi Arabia
    Balfagih, Ahmed, Keselj, Vlado, and Taylor, Stacey. Journal of Advances in Information Technology, 2022.
    [ id: ab2022-j | BibTeX | bibitem ]

  8. Proceedings of the ACM Symposium on Document Engineering 2018
    Vlado Keselj, Jimmy Huang, and Evangelos Milios (eds.). Halifax, Canada, August 2018. http://doi.org/10.1145/3209280.
    [ id: doceng2018 | BibTeX | bibitem ]

  9. N-Gram Based Approach for Automatic Prediction of Essay Rubric Marks
    Magdalena Jankowska, Colin Conrad, Jabez Harris, and Vlado Keselj. In Proceedings of Canadian AI'2018, York University, Toronto, Ontario, Canada, pp. 298-303, May 2018.
    [ id: cai18 | BibTeX | bibitem ]

  10. Regional Language and Dialect Visualization using Twitter Data and Character N-gram Analysis
    Kenneth Power, Vlado Keselj, and Dijana Kosmajac. The Annual Dalhousie Computer Science In-House Conference (DCSI~2018), 2018. Extended abstract.
    [ id: dcsi18k | BibTeX | bibitem ]

  11. DalTeam@INLI-FIRE-2017: Native Language Identification using SVM with SGD Training
    Dijana Kosmajac, and Vlado Keselj. In FIRE 2017, Forum for Information Retrieval Evaluation, Working Notes on Indian Native Language Identification (INLI) Track pp. 118-122, December 2017. Best performing submission..
    [ id: INLI-FIRE-2017 | BibTeX | bibitem ]

  12. Language Identification in Multilingual, Short and Noisy Texts using Common N-Grams
    Dijana Kosmajac and Vlado Keselj. In Proceedings of the IEEE BigData Conference, Workshop on Big Social Media Data Management and Analysis, December 2017.
    [ id: BigData2017 | BibTeX | bibitem ]

  13. Vector Space Representation of Concepts Using Wikipedia Graph Structure
    Seyed Armin Sajadi, Evangelos Milios, and Vlado Keselj. In International Conference on Applications of Natural Language to Information Systems (NLDB 2017) Springer pp. 393-405, 2017.
    [ id: nldb2017 | BibTeX | bibitem ]

  14. Canada's Food Price Report 2018
    Catherine Mah, Sylvain Charlebois, Jay Harris, Vlado Keselj, Paul Uys, Mustafa Koroglu, Francis Tapon, Erna H van Duren, Simon Somogyi, Andrea Giusto. Dalhousie University, University of Guelph, 2017.
    [ id: foodreport2018 | BibTeX | bibitem ]

  15. EulerianGrapher: Text Visualisation at the Level of Character N-grams Based on Eulerian Graphs
    Dijana Kosmajac, Vlado Keselj, and Evangelos Milios. In Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics ACM pp. 59-63, 2017.
    [ id: esida17 | BibTeX | bibitem ]

  16. ELM: An Extended Logic Matching Method on Record Linkage Analysis of Disparate Databases for Profiling Data Mining
    Colin Conrad, Naureen Ali, Vlado Keselj, and Qigang Gao. In Proceedings of the IEEE Conference on Business Informatics (CBI 2016), 2016.
    [ id: cbi2016elm | BibTeX | bibitem ]

  17. Machine Learning Meets Visualization for Extracting Insights from Text Data
    Axel J. Soto, Ryan Kiros, Vlado Keselj, and Evangelos Milios. ACM AI Matters, vol. 2, no. 2, pp. 15-17, December 2015.
    [ id: soto2015 | BibTeX | bibitem ]

  18. Real Time Filtering of Tweets using Wikipedia Concepts and Google Tri-gram Semantic Relatedness
    Anh Dang, Raheleh Makki, Abidalrahman Moh'd, Aminul Islam, Vlado Keselj, and Evangelos E. Milios. In The Twenty-Fourth Text REtrieval Conference (TREC 2015), Gaithersburg, Maryland, USA, November 2015.
    [ id: DalTREC15 | BibTeX | bibitem ]

  19. Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data
    Axel J. Soto, Ryan Kiros, Vlado Keselj, and Evangelos Milios. ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 5, October 2015. http://dl.acm.org/citation.cfm?id=2812115.
    [ id: tiis2015 | BibTeX | bibitem ]

  20. Do Important Words in Bag-of-Words Model of Text Relatendess help?
    Aminul Islam, Evangelos Milios, and Vlado Keselj. In Proceedings of TSD 2015, September 2015.
    [ id: tsd2015 | BibTeX | bibitem ]

  21. Domain-Specific Semantic Relatedness from Wikipedia Structure: A Case Study in Biomedical Text
    Armin Sajadi, Evangelos Milios, Vlado Keselj, and Jeannette Janssen. In Proceedings of CICLING 2015, April 2015.
    [ id: cicling2015-as | BibTeX | bibitem ]

  22. When was Macbeth Written? Mapping Book to Time
    Aminul Islam, Jie Mei, Evangelos Milios, and Vlado Keselj. In Proceedings of CICLING 2015, 2015.
    [ id: cicling2015-ai | BibTeX | bibitem ]

  23. Language Identification of Short Texts: An Overview of Methodologies Based on Character N-Grams
    Dijana Kosmajac and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI~2015), 2015. Extended abstract.
    [ id: dcsi15d | BibTeX | bibitem ]

  24. Authorship Attribution with Topically Unbalanced Train Data
    Magdalena Jankowska, Evangelos Milios, and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI~2015), 2015. Extended abstract.
    [ id: dcsi15m | BibTeX | bibitem ]

  25. Ensambles of Proximity-Based One-Class Classifiers for Author Verification
    Magdalena Jankowska, Vlado Keselj, and Evangelos E. Milios. In Notebook for PAN at CLEF 2014 Working Notes CLEF 2014, 2014.
    [ id: clef2014 | BibTeX | bibitem ]

  26. In-depth Interactive Visual Exploration for Bridging Unstructured and Structured Document Content
    Axel Soto, Ryan Kiros, Vlado Keselj, and Evangelos Milios. In Proceedings of SDM 2014 Workshop on Exploratory Data Analysis, Philadelphia, PA, USA, Apr 2014.
    [ id: sdm2014ws | BibTeX | bibitem ]

  27. Social Media Corporate User Identification using Text Classification
    Zhishen Yang, Jacek Wolkowicz, Vlado Keselj. In Proceedings of Canadian AI'2014, Montreal, Quebec, Canada, May 2014.
    [ id: ai14 | BibTeX | bibitem ]

  28. Author Verification using Common N-Gram Profiles of Text Documents
    Magdalena Jankowska, Evangelos Milios, and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI~2014), 2014. Extended abstract.
    [ id: dcsi14m | BibTeX | bibitem ]

  29. Proximity Based One-class Classification with Common N-Gram Dissimilarity for Authorship Verification Task
    Magdalena Jankowska, Vlado Keselj, and Evangelos E. Milios. In CLEF 2013 Evaluation Labs and Workshop CLEF 2013, 2013.
    [ id: clef2013v | BibTeX | bibitem ]

  30. CNG Text Classification for Authorship Profiling Task
    Magdalena Jankowska, Vlado Keselj, and Evangelos E. Milios. In CLEF 2013 Evaluation Labs and Workshop CLEF 2013, 2013.
    [ id: clef2013p | BibTeX | bibitem ]

  31. Proximity based one-class classification with Common N-Gram dissimilarity for authorship verification task
    Magdalena Jankowska, Vlado Keselj, and Evangelos E. Milios. The Annual Dalhousie Computer Science In-House Conference (DCSI~2013), 2013. Extended abstract.
    [ id: dcsi13m | BibTeX | bibitem ]

  32. Graph-based Domain-specific Semantic Relatedness from Wikipedia
    Armin Sajadi, Evangelos Milios, and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI~2013), 2013. Extended abstract.
    [ id: dcsi13a | BibTeX | bibitem ]

  33. Evaluation of n-Gram-Based Classification Approaches on Classical Music Corpora
    Jacek Wolkowicz, and Vlado Keselj. In Proceedings of Mathematics and Computation in Music, Montreal, Canada, pp. 213-225, June 2013.
    [ id: mcm2013 | BibTeX | bibitem ]

  34. Selective Retrieval for Categorization of Semi-structured Web Resources
    Marek Lipczak, Tomasz Niwiarowski, Vlado Keselj, and Evangelos Milios. In Proceedings of Canadian AI'2013, Regina, SK, Canada, pp. 126-137, May 2013.
    [ id: ai13 | BibTeX | bibitem ]

  35. Using Google n-Grams to Expand Word-Emotion Association Lexicon
    Jessica Perrie, Aminul Islam, Evangelos Milios, and Vlado Keselj. In Proceedings of CICLING 2013, Aegan, Samos, Greece, Mar 2013.
    [ id: cicling2013 | BibTeX | bibitem ]

  36. Word Relatedness using Google n-grams
    Aminul Islam, Evangelos Milios, and Vlado Keselj. In Proceedings of COLING 2012, IIT Bombay, Mumbai, India, Dec 2012.
    [ id: coling12 | BibTeX | bibitem ]

  37. Relative N-Gram Signatures: Document Visualization at the Level of Character N-Grams
    Magdalena Jankowska, Vlado Keselj, and Evangelos Milios. In Proceedings of IEEE Symposium on Visual Analytics Science and Technology, VAST 2012, Oct 2012. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6400484 .
    [ id: vast2012 | BibTeX | bibitem ]

  38. Representation Learning for Sparse, High Dimensional Multi-label Classification
    Ryan Kiros, Axel J. Soto, Evangelos E. Milios, and Vlado Keselj. In Proceedings of RSCTC 2012 (Rough Sets and Current Trends in Computing), 2012.
    [ id: rsctc12 | BibTeX | bibitem ]

  39. Quantifying the Role of the Opinion Lexicon in Sentiment Analysis
    Yannick Marchand, Vlado Keselj, Evangelos Milios, and Michael Shepherd. In Proceedings of #Influence12: Symposium & Workshop on Measuring Influence on Social Media, Dalhousie University, Halifax, Nova Scotia, Canada, #Influence12: Symposium & Workshop on Measuring Influence on Social Media, September 2012. Extended abstract.
    [ id: influence12 | BibTeX | bibitem ]

  40. Analysis of Important Factors for Measuring Similarity of Symbolic Music using n-gram-based, Bag-of-words Approach
    Jacek Wolkowicz, and Vlado Keselj. In Proceedings of Canadian AI'2012, Toronto, ON, Canada, May 2012.
    [ id: ai12j | BibTeX | bibitem ]

  41. Text Similarity using Google Tri-grams
    Aminul Islam, Evangelos Milios, and Vlado Ke\v{s}elj. In Proceedings of Canadian AI'2012, Toronto, ON, Canada, May 2012.
    [ id: ai12a | BibTeX | bibitem ]

  42. Business Lead Generation for Online Real Estate Services: A Case Study
    Md. Abdur Rahman, Xinghui Zhao, Maria Gabriella Mosquera, Qigang Gao, Vlado Keselj, Hai Wang. In Proceedigns of DBKDA 2012: The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications, 2012.
    [ id: dbkda2012 | BibTeX | bibitem ]

  43. Interactive Clustering of Semi-Structured Documents
    Axel Soto, Vlado Keselj, and Evangelos E. Milios. IBM CASCON 2012 Technology Showcases, 2012. Best Technology Showcase award.
    [ id: cascon2012 | BibTeX | bibitem ]

  44. Interactive Clustering of Semi-Structured Documents
    Axel Soto, Vlado Keselj, and Evangelos E. Milios. The Annual Dalhousie Computer Science In-House Conference (DCSI~2012), 2012. Extended abstract.
    [ id: dcsi12ax | BibTeX | bibitem ]

  45. Extractig Semantics Relatedness from Wikipedia
    Armin Sajadi, Evangelos E. Milios, and Vlado Keselj. The Annual Dalhousie Computer Science In-House Conference (DCSI~2012), 2012. Extended abstract.
    [ id: dcsi12ar | BibTeX | bibitem ]

  46. Predicting Development of Research in Music Based on Parallels with Natural Language Processing
    Jacek Wolkowicz and Vlado Keselj. In Proceedings of 11th International Society for Music Information Retrieval Conference (ISMIR 2010), f(MIR) Workshop, Utrecht, Netherlands, pp. 665-667, August 2010.
    [ id: ismir2010 | BibTeX | bibitem ]

  47. Advances in Artificial Intelligence, 23rd Canadian Conference on Artificial intelligence, Canadian AI 2010
    Atefeh Farzindar and Vlado Keselj (eds.). Springer, Ottawa, Canada, vol. LNAI 6085, May/June 2010. http://www.springer.com/computer/ai/book/978-3-642-13058-8.
    [ id: ai2010 | BibTeX | bibitem ]

  48. Book Review: Speech and Language Processing (second edition) by Daniel Jurafsky and James H. Martin
    Vlado Keselj. MIT Press Computational Linguistics, vol.  35, no.  3, pp. 463-466, 2009. http://www.mitpressjournals.org/doi/pdf/10.1162/coli.B09-001.
    [ id: clreview09 | BibTeX | bibitem ]

  49. Syllabification Rules Versus Data-driven Methods in a Language with Low Syllabic Complexity: The Case of Italian
    Connie Adsett, Yannick Marchand, and Vlado Keselj. Elsevier Computer Speech and Language, vol.  23, no.  4, pp.  444-463, October 2009.
    [ id: s09 | BibTeX | bibitem ]

  50. Wikipedia Search: Combining Language Modeling and Link Analysis
    Jacek Wolkowicz, Michael Shepherd, and Vlado Keselj. Halifax, NS, Canada, Technical Report CS-2009-01, Faculty of Computer Science, Dalhousie University no. CS-2009-01, January 2009. http://www.cs.dal.ca/research/techreports/cs-2009-01
    [ id: tr0901 | BibTeX | bibitem ]

  51. Proceedings of the Conference Pacific Association for Computational Linguistics, PACLING'03
    Keselj, Vlado and Endo, Tsutomu (eds.). Dalhousie University, Halifax, Nova Scotia, Canada, August 2003.
    [ id: Pacling03 | BibTeX | bibitem ]

  52. Natural language parsing for Internet information retrieval
    Keselj, Vlado. In Proceedings of 1997 TRIO/ITRC Researcher Retreat, May 1997.
    [ id: Keselj:1997 | PostScript | BibTeX | bibitem ]

  53. Course notes CS486/686:Introduction to Artificial Intelligence
    Keselj, Vlado and Schuurmans, Dale. Waterloo, Canada, December 2001.
    [ id: Keselj2001e | PostScript | BibTeX | bibitem ]

  54. Java Tutorial for CS240
    Keselj, Vlado. Waterloo, Canada, October 1998. Java Tutorial slides presented to CS240 students in 1998
    [ id: Keselj98 | PostScript | BibTeX | bibitem ]

© 2006-2024 Vlado Keselj, last update: 08-Oct-2024