A Flexible Supervised Term-Weighting Technique and its Application to Variable Extraction and Information Retrieval. - Mariano Maisonnave; Fernando Delbianco; Fernando A. Tohmé; Ana Gabriela Maguitman (Inteligencia Artif., 2019)

Assessing Causality Structures learned from Digital Text Media. - Mariano Maisonnave; Fernando Delbianco; Fernando Tohmé; Ana Gabriela Maguitman; Evangelos E. Milios (DocEng, 2020)

Improving Event Detection using Contextual Word and Sentence Embeddings. - Mariano Maisonnave; Fernando Delbianco; Fernando Tohmé; Ana Gabriela Maguitman; Evangelos E. Milios (CoRR, 2020)

A Markov-switching approach to the study of citations in academic journals. - Fernando Delbianco; Andrés Fioriti; Allan Hernandez-Chanto; Fernando Tohmé (J. Informetrics, 2020)

Effort of rugby teams according to the bonus point system: a theoretical and empirical analysis. - Federico Fioravanti; Fernando Tohmé; Fernando Delbianco; Alejandro Neme (Int. J. Game Theory, 2021)

Assessing the behavior and performance of a supervised term-weighting technique for topic-based retrieval. - Mariano Maisonnave; Fernando Delbianco; Fernando Tohmé; Ana Gabriela Maguitman (Inf. Process. Manag., 2021)

Detecting ongoing events using contextual word and sentence embeddings. - Mariano Maisonnave; Fernando Delbianco; Fernando Tohmé; Ana Gabriela Maguitman; Evangelos E. Milios (Expert Syst. Appl., 2022)

Causal graph extraction from news: a comparative study of time-series causality learning techniques. - Mariano Maisonnave; Fernando Delbianco; Fernando A. Tohmé; Evangelos E. Milios; Ana Gabriela Maguitman (PeerJ Comput. Sci., 2022)

A methodological approach for inferring causal relationships from opinions and news-derived events with an application to climate change. - Juan Marten; Fernando Delbianco; Fernando A. Tohmé; Ana Gabriela Maguitman (PeerJ Comput. Sci., 2025)