Fuzzy identification of a greenhouse. - Amine Trabelsi; Frédéric Lafont; Mohamed Kamoun; Gilles Enea (Appl. Soft Comput., 2007)

The Emotional Machine: A Machine Learning Approach to Online Prediction of User's Emotion and Intensity. - Amine Trabelsi; Claude Frasson (ICALT, 2010)

Mining Contentious Documents Using an Unsupervised Topic Model Based Approach. - Amine Trabelsi; Osmar R. Zaïane (ICDM, 2014)

A Joint Topic Viewpoint Model for Contention Analysis. - Amine Trabelsi; Osmar R. Zaïane (NLDB, 2014)

Extraction and clustering of arguing expressions in contentious text. - Amine Trabelsi; Osmar R. Zaïane (Data Knowl. Eng., 2015)

Mining contentious documents. - Amine Trabelsi; Osmar R. Zaïane (Knowl. Inf. Syst., 2016)

Unsupervised Model for Topic Viewpoint Discovery in Online Debates Leveraging Author Interactions. - Amine Trabelsi; Osmar R. Zaïane (ICWSM, 2018)

Automatic Dialogue Generation with Expressed Emotions. - Chenyang Huang 001; Osmar R. Zaïane; Amine Trabelsi; Nouha Dziri (NAACL-HLT (2), 2018)

An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. - Peng Cao 001; Shanshan Tang; Min Huang 001; Jinzhu Yang; Dazhe Zhao; Amine Trabelsi; Osmar R. Zaïane (BIBM, 2019)

Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. - Peng Cao 001; Shanshan Tang; Min Huang 001; Jinzhu Yang; Dazhe Zhao; Amine Trabelsi; Osmar R. Zaïane (BIBM, 2019)

Contrastive Reasons Detection and Clustering from Online Polarized Debates. - Amine Trabelsi; Osmar R. Zaïane (CICLing (1), 2019)

PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances. - Amine Trabelsi; Osmar R. Zaïane (ICWSM, 2019)

Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. - Mansour Saffar Mehrjardi; Amine Trabelsi; Osmar R. Zaïane (RANLP, 2019)

ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT. - Chenyang Huang 001; Amine Trabelsi; Osmar R. Zaïane (SemEval@NAACL-HLT, 2019)

Contrastive Reasons Detection and Clustering from Online Polarized Debate. - Amine Trabelsi; Osmar R. Zaïane (CoRR, 2019)

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. - Chenyang Huang 001; Amine Trabelsi; Xuebin Qin; Nawshad Farruque; Osmar R. Zaïane (CoRR, 2019)

WEXEA: Wikipedia EXhaustive Entity Annotation. - Michael Strobl; Amine Trabelsi; Osmar R. Zaïane (LREC, 2020)

ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION). - Anandh Konar; Chenyang Huang 001; Amine Trabelsi; Osmar R. Zaïane (SemEval@COLING, 2020)

ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION). - Anandh Perumal; Chenyang Huang 001; Amine Trabelsi; Osmar R. Zaïane (CoRR, 2020)

Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. - Chenyang Huang 001; Amine Trabelsi; Xuebin Qin; Nawshad Farruque; Lili Mou; Osmar R. Zaïane (NAACL-HLT, 2021)

Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks. - Eric Austin; Amine Trabelsi; Christine Largeron; Osmar R. Zaïane (AusDM, 2022)

Enhanced Entity Annotations for Multilingual Corpora. - Michael Strobl; Amine Trabelsi; Osmar Zaïane (LREC, 2022)

Named Entity Recognition for Partially Annotated Datasets. - Michael Strobl; Amine Trabelsi; Osmar Zaïane (NLDB, 2022)

Exploring Preferential Label Smoothing for Neural Network-based Classifiers. - Paritosh Goyal; Chenyang Huang 001; Amine Trabelsi; Osmar Zaïane (Canadian AI, 2023)

Learning Representations through Contrastive Strategies for a more Robust Stance Detection. - Udhaya Kumar Rajendran; Amir Ben Khalifa; Amine Trabelsi (DSAA, 2023)

FREDA: Flexible Relation Extraction Data Annotation. - Michael Strobl; Amine Trabelsi; Osmar R. Zaïane (SAC, 2023)

Exploration of Contrastive Learning Strategies toward more Robust Stance Detection. - Udhaya Kumar Rajendran; Amine Trabelsi (WASSA@ACL, 2023)

Recent Trends in Unsupervised Summarization. - Mohammad Khosravani; Amine Trabelsi (CoRR, 2023)

Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches. - Islam Eldifrawi; Shengrui Wang; Amine Trabelsi (ACL (1), 2024)

Unsupervised stance detection for social media discussions: A generic baseline. - Maia Sutter; Antoine Gourru; Amine Trabelsi; Christine Largeron (EACL (1), 2024)

Enhancing Argument Summarization: Prioritizing Exhaustiveness in Key Point Generation and Introducing an Automatic Coverage Evaluation Metric. - Mohammad Khosravani; Chenyang Huang 001; Amine Trabelsi (NAACL-HLT, 2024)

Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network. - Eric Austin; Shraddha Makwana; Amine Trabelsi; Christine Largeron; Osmar R. Zaïane (Data Sci. Eng., 2024)

Can Large Language Models Address Open-Target Stance Detection? - Abu Ubaida Akash; Ahmed Fahmy; Amine Trabelsi (ACL (Findings), 2025)

Détection non supervisée de position dans les médias sociaux : une approche générique. - Maia Sutter; Antoine Gourru; Christine Largeron; Amine Trabelsi (EGC, 2025)

FinGrAct: A Framework for FINe-GRrained Evaluation of ACTionability in Explainable Automatic Fact-Checking. - Islam Eldifrawi; Shengrui Wang; Amine Trabelsi (CoRR, 2025)