Mariano Maisonnave

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.

Contact Info

  • Work Address6050 University Avenue, Halifax, NS, Canada (B3H 4R2)
  • E-mail

Teaching

  • 2019-Present

    Object Oriented Programming

    Head of Teaching Assistants Position

  • 2017-Present

    Embedded Systems & Computer Networks

    Teaching Assistant Position

  • 2020

    Computer Organization

    Contract as Teaching Assistant

  • 2020

    Analysis and Problem Solving, leveling course

    Contract as Professor

  • 2015-2019

    Object Oriented Programming

    Teaching Assistant Position

  • 2017-2018

    Analysis and Problem Solving, leveling course

    Contract as Teaching Assistant

  • 2015-2016

    Formal Languages and Automata Theory

    Contract as Teaching Assistant

Education

Publications

  • 2022

    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.

    [Article PDF]

  • 2022

    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.

    [https://doi.org/10.7717/peerj-cs.1066]

  • 2022

    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.

    [https://doi.org/10.1016/j.ipm.2020.102483, draft]

  • 2021

    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.

    [https://doi.org/10.1016/j.ipm.2020.102483, draft]

  • 2020

    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]

  • 2019

    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.

    [https://doi.org/10.4114/intartif.vol22iss63pp61-80]

  • 2019

    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.

    [Presentation, Resúmenes de Conferencias]

  • 2018

    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).

    [Paper, Presentation]

Awards and Scholarships

Selected Favorites Technologies

Debian GNU/Linux

Git

Python 3

Keras & Tensorflow