Postdoctoral employee @ Faculty of Computer science, Dalhousie University.
Teaching Assistant @ Universidad Nacional del Sur.
My research areas include: Causal Inference, Natural Language Processing , Econometrics, Information Extraction and Machine Learning.
Ramirez-Orta, J., Sabando, M.V., Maisonnave, M., and Milios E., 2022. MALNIS at IberLEF-2022 DETESTS Task: A Multi-Task Learning Approach for Low-Resource Detection of Racial Stereotypes in Spanish. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022). CEUR Workshop Proceedings, CEUR-WS.org.
Maisonnave, M., Delbianco, F., Tohmé, F., Maguitman, A.G. and Milios E., 2022. Causal graph extraction from news: a comparative study of time-series causality learning techniques. PeerJ Computer Science.
Maisonnave, M., Delbianco, F., Tohmé, F., Maguitman, A.G. and Milios E., 2022. Detecting ongoing events using contextual word and sentence embeddings. Expert Systems with Applications.
Maisonnave, M., Delbianco, F., Tohmé, F. and Maguitman, A.G., 2021, May. Assessing the behavior and performance of a supervised term-weighting technique for topic-based retrieval. Information Processing & Management, 58(3), p.102483.
Maisonnave, M., Delbianco, F., Tohmé, F., Maguitman, A.G. and Milios, E.E., 2020, September. Assessing Causality Structures learned from Digital Text Media. In Proceedings of the ACM Symposium on Document Engineering 2020 (pp. 1-4).
[https://doi.org/10.1145/3395027.3419594, Video, Presentation]
Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2019. A flexible supervised term-weighting technique and its application to variable extraction and information retrieval. Inteligencia Artificial, 22(63), pp.61-80.
Maisonnave, M., 2019. Detección de Textos Similares a través de una Técnica de Agrupamiento Basada en Densidad, communication at the XV Dr. Antonio Monteiro Congress.
Maisonnave, M., Delbianco, F., Tohmé, F.A. and Maguitman, A.G., 2018. A Supervised Term-Weighting Method and its Application to Variable Extraction from Digital Media. In XIX Simposio Argentino de Inteligencia Artificial (ASAI)-JAIIO 47 (CABA, 2018).
Project name: "Learning Causal Models from Digital Media". Advisor: Ana G. Maguitman.
(Award granted as an extension for the proposal presented in 2019-2020)
Project name: "Learning Causal Models from Digital Media". Advisor: Ana G. Maguitman.
(Award granted as an extension for the proposal presented in 2019)
Project name: "Learning Causal Models from Digital Media". Advisor: Ana G. Maguitman.
[Link to the Institute's Tweet (es), Link to the news (es), 2019 recipients]
Research stay for a term of four months at Dalhousie University, Halifax, Canada. From December 10, 2018, to April 10, 2019.
Full Scholarship to pursue a doctorate in Computer Science with a duration of five years. From April 2017 to April 2022.
Scholarship for undergraduate university students who wish to start their research training in the framework of accredited research projects.
