Mohamed Bouguessa
Orcid: 0000-0002-0851-8889
According to our database1,
Mohamed Bouguessa
authored at least 57 papers
between 2006 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Knowl. Data Eng., April, 2024
Pattern Recognit., 2024
DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024
Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024
2023
IEEE Trans. Knowl. Data Eng., September, 2023
Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift.
IEEE Trans. Knowl. Data Eng., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
2021
ACM Trans. Intell. Syst. Technol., 2021
ACM Trans. Intell. Syst. Technol., 2021
Softw. Impacts, 2021
2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks.
IEEE Trans. Knowl. Data Eng., 2019
Proceedings of the 6th International Conference on Mobile Software Engineering and Systems, 2019
2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
ACM Trans. Knowl. Discov. Data, 2017
Survival analysis for modeling critical events that communities may undergo in dynamic social networks.
Proceedings of the Symposium on Applied Computing, 2017
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017
A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
MCDA: A Parameterless Algorithm for Detecting Communities in Multidimensional Networks.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
2016
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016
2015
ACM Trans. Intell. Syst. Technol., 2015
Expert Syst. Appl., 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
2014
Int. J. Artif. Intell. Tools, 2014
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014
2013
Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013
2012
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
2011
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
2010
ACM Trans. Knowl. Discov. Data, 2010
2009
IEEE Trans. Knowl. Data Eng., 2009
2008
Identifying authoritative actors in question-answering forums: the case of Yahoo! answers.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
2007
PCGEN: A Practical Approach to Projected Clustering and its Application to Gene Expression Data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006