Daily life patients sentiment analysis model based on well-encoded embedding vocabulary for related-medication text. - Hanane Grissette; ELhabib Nfaoui (ASONAM, 2019)

Drug Reaction Discriminator within Encoder-Decoder Neural Network Model: COVID-19 Pandemic Case Study. - Hanane Grissette; El Habib Nfaoui (SNAMS, 2020)

Enhancing convolution-based sentiment extractor via dubbed N-gram embedding-related drug vocabulary. - Hanane Grissette; El Habib Nfaoui (Netw. Model. Anal. Health Informatics Bioinform., 2020)

Adversarial LSTM-Based Sequence-to-Sequence Model for Drug-Related Reactions Understanding. - Hanane Grissette; El Habib Nfaoui (ICICT (3), 2021)

The Impact of COVID-19 on Parkinson's Disease Patients from Social Networks. - Hanane Grissette; El Habib Nfaoui (NISS (Springer), 2021)

Affective Concept-Based Encoding of Patient Narratives via Sentic Computing and Neural Networks. - Hanane Grissette; El Habib Nfaoui (Cogn. Comput., 2022)

Semisupervised neural biomedical sense disambiguation approach for aspect-based sentiment analysis on social networks. - Hanane Grissette; El Habib Nfaoui (J. Biomed. Informatics, 2022)

Adverse Drug Reactions Detection from Social Media: an Empirical Evaluation of Machine Learning Techniques. - Oumayma Elbiach; Hanane Grissette; El Habib Nfaoui (SITA, 2023)

Deep associative learning approach for bio-medical sentiment analysis utilizing unsupervised representation from large-scale patients' narratives. - Hanane Grissette; El Habib Nfaoui (Pers. Ubiquitous Comput., 2023)

An Empirical Evaluation of Neural Network Architectures for 3D Spheroid Segmentation. - Fadoua Oudouar; Ahmed Bir-Jmel; Hanane Grissette; Sidi Mohamed Douiri; Yassine Himeur; Sami Miniaoui; Shadi Atalla; Wathiq Mansoor (Comput., 2025)