Waleed Ragheb

According to our database, Waleed Ragheb authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide.

Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean

IEEE Trans. Knowl. Data Eng., 2023

2022

Emotional Speech Recognition with Pre-trained Deep Visual Models.

Waleed Ragheb, Mehdi Mirzapour, Ali Delfardi, Hélène Jacquenet, Lawrence Carbon

CoRR, 2022

Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction.

Mehdi Mirzapour, Waleed Ragheb, Mohammad Javad Saeedizade, Kévin Cousot, Hélène Jacquenet, Lawrence Carbon, Mathieu Lafourcade

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2020

Affective behavior modeling on social networks. (Modélisation des sentiments sur les réseaux sociaux).

Waleed Ragheb

PhD thesis, 2020

2019

Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier.

Kévin Cousot, Mehdi Mirzapour, Waleed Ragheb

CoRR, 2019

Attention-based Modeling for Emotion Detection and Classification in Textual Conversations.

Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean

CoRR, 2019

LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification.

Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Pourquoi dois-je croire ta prédiction ? Comment expliquer les résultats d'une classification automatique de sentiments à partir de textes.

Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean

Proceedings of the IC 2019: 30es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 30th French Knowledge Engineering Conference), 2019

Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media.

Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean

Proceedings of the Working Notes of CLEF 2019, 2019

Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet.

Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

2018

Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet.

Waleed Ragheb, Bilel Moulahi, Jérôme Azé, Sandra Bringay, Maximilien Servajean

Proceedings of the Working Notes of CLEF 2018, 2018