Youssef Hmamouche

According to our database1, Youssef Hmamouche authored at least 17 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Auto-BPA: An Enhanced Ball-Pivoting Algorithm with Adaptive Radius using Contextual Bandits.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Refined edge detection with cascaded and high-resolution convolutional network.
Pattern Recognit., June, 2023

2022
Listen and tell me who the user is talking to: Automatic detection of the interlocutor's type during a conversation.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Inception-based Deep Learning Architecture for 3D Point Cloud Completion.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

A Spatio-temporal Deep Learning Approach for Underwater Acoustic Signals Classification.
Proceedings of the 18th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2022

2021
A scalable framework for large time series prediction.
Knowl. Inf. Syst., 2021

2020
NlinTS: An R Package For Causality Detection in Time Series.
R J., 2020

Multimodal Corpus of Bidirectional Conversation of Human-human and Human-robot Interaction during fMRI Scanning.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

BrainPredict: a Tool for Predicting and Visualising Local Brain Activity.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Identifying Causal Relationships Between Behavior and Local Brain Activity During Natural Conversation.
Proceedings of the Interspeech 2020, 2020

Exploring the Dependencies between Behavioral and Neuro-physiological Time-series Extracted from Conversations between Humans and Artificial Agents.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Neuroscience to Investigate Social Mechanisms Involved in Human-Robot Interactions.
Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020

2018
Prédiction des Séries Temporelles Larges. (Prediction of Large Time Series).
PhD thesis, 2018

Predictors Extraction in Time Series Using Authorities-Hubs Ranking.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Finding Relevant Multivariate Models for Multi-plant Photovoltaic Energy Forecasting.
Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning, 2017

Improving Multivariate Time Series Forecasting with Random Walks with Restarts on Causality Graphs.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2015
POP: A Parallel Optimized Preparation of Data for Data Mining.
Proceedings of the KDIR 2015, 2015


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