Amine Trabelsi
TitleCited byYear
Automatic dialogue generation with expressed emotions
C Huang, OR Zaiane, A Trabelsi, N Dziri
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
252018
The emotional machine: A machine learning approach to online prediction of user's emotion and intensity
A Trabelsi, C Frasson
2010 10th IEEE International Conference on Advanced Learning Technologies …, 2010
182010
Mining contentious documents using an unsupervised topic model based approach
A Trabelsi, OR Zaiane
2014 IEEE International Conference on Data Mining, 550-559, 2014
172014
Finding arguing expressions of divergent viewpoints in online debates
A Trabelsi, OR Zaiane
Proceedings of the 5th Workshop on Language Analysis for Social Media (LASM …, 2014
142014
Unsupervised model for topic viewpoint discovery in online debates leveraging author interactions
A Trabelsi, OR Zaiane
Twelfth International AAAI Conference on Web and Social Media, 2018
82018
Extraction and clustering of arguing expressions in contentious text
A Trabelsi, OR Zaļane
Data & Knowledge Engineering 100, 226-239, 2015
72015
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT
C Huang, A Trabelsi, OR Zaļane
arXiv preprint arXiv:1904.00132, 2019
62019
Mining contentious documents
A Trabelsi, OR Zaļane
Knowledge and Information Systems 48 (3), 537-560, 2016
52016
A joint topic viewpoint model for contention analysis
A Trabelsi, OR Zaļane
International Conference on Applications of Natural Language to Data Bases …, 2014
52014
Contrastive Reasons Detection and Clustering from Online Polarized Debate
A Trabelsi, OR Zaiane
arXiv preprint arXiv:1908.00648, 2019
12019
PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances
A Trabelsi, OR Zaļane
Proceedings of the International AAAI Conference on Web and Social Media 13 …, 2019
12019
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease
P Cao, S Tang, M Huang, J Yang, D Zhao, A Trabelsi, O Zaiane
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1-5, 2019
2019
An ensemble framework with -norm regularized hypergraph laplacian multi-label learning for clinical data prediction
P Cao, S Tang, M Huang, J Yang, D Zhao, A Trabelsi, O Zaiane
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
2019
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation
C Huang, A Trabelsi, OR Zaļane
arXiv preprint arXiv:1911.02147, 2019
2019
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems
MS Mehrjardi, A Trabelsi, OR Zaiane
arXiv preprint arXiv:1909.05246, 2019
2019
Unsupervised Mining and Summarization of Polarized Contentious Issues from Online Text
A Trabelsi
2018
Configuration et exploitation d'une machine émotionnelle
A Trabelsi
2010
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer’s
P Cao, J Yang, S Tang, D Zhao, O Zaiane, M Huang, A Trabelsi
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Articles 1–18