AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. - Fabien Ringeval; Björn W. Schuller; Michel F. Valstar; Nicholas Cummins; Roddy Cowie; Leili Tavabi; Maximilian Schmitt; Sina Alisamir; Shahin Amiriparian; Eva-Maria Meßner; Siyang Song; Shuo Liu 012; et al. (AVEC@MM, 2019)

THERADIA: Digital Therapies Augmented by Artificial Intelligence. - Franck Tarpin-Bernard; Joan Fruitet; Jean-Philippe Vigne; Patrick Constant; Hanna Chainay; Olivier Koenig; Fabien Ringeval; Béatrice Bouchot; Gérard Bailly; François Portet; Sina Alisamir; Yongxin Zhou 004; et al. (AHFE (1), 2021)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (Interspeech, 2021)

Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (NeurIPS Datasets and Benchmarks, 2021)

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. - Solène Evain; Ha Nguyen; Hang Le 001; Marcely Zanon Boito; Salima Mdhaffar; Sina Alisamir; Ziyi Tong; Natalia A. Tomashenko; Marco Dinarelli; Titouan Parcollet; Alexandre Allauzen; Yannick Estève; et al. (CoRR, 2021)

On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview. - Sina Alisamir; Fabien Ringeval (IEEE Signal Process. Mag., 2021)

Multi-Corpus Affect Recognition with Emotion Embeddings and Self-Supervised Representations of Speech. - Sina Alisamir; Fabien Ringeval; François Portet (ACII, 2022)

Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks. - Sina Alisamir; Fabien Ringeval; François Portet (CoRR, 2022)

Cross-domain Voice Activity Detection with Self-Supervised Representations. - Sina Alisamir; Fabien Ringeval; François Portet (CoRR, 2022)

Machine Learning of Emotional Expressions In the Wild from Acoustic Signals and Text. (Apprentissage automatique des expressions émotionnelles à partir de signaux acoustiques et de textes). - Sina Alisamir (2023)

THERADIA WoZ: An Ecological Corpus for Appraisal-based Affect Research in Healthcare. - Hippolyte Fournier; Sina Alisamir; Safaa Azzakhnini; Hanna Chainay; Olivier Koenig; Isabella Zsoldos; Eléeonore Trân; Gérard Bailly; Frédéric Elisei; Béatrice Bouchot; Brice Varini; Patrick Constant; et al. (CoRR, 2024)

LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. - Titouan Parcollet; Ha Nguyen; Solène Evain; Marcely Zanon Boito; Adrien Pupier; Salima Mdhaffar; Hang Le 001; Sina Alisamir; Natalia A. Tomashenko; Marco Dinarelli; Shucong Zhang; Alexandre Allauzen; et al. (Comput. Speech Lang., 2024)