Mohamed Bouguessa

According to our database, Mohamed Bouguessa authored at least 53 papers between 2006 and 2024.

Collaborative distances:

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

2024

Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding.

Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa

IEEE Trans. Knowl. Data Eng., April, 2024

2023

Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering.

Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini

IEEE Trans. Knowl. Data Eng., September, 2023

Modeling Regime Shifts in Multiple Time Series.

Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang

ACM Trans. Knowl. Discov. Data, 2023

A Contrastive Variational Graph Auto-Encoder for Node Clustering.

Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini

CoRR, 2023

Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering.

Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini

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.

Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banire Diallo

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract).

Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini

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).

Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Modeling Time-Varying User Attitudes in Social Media.

Etienne Gael Tajeuna, Ahmed F. M. Fahmy, Mohamed Bouguessa

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Tracking User Sentiment Changes on Social Networks.

Ahmed F. M. Fahmy, Etienne Gael Tajeuna, Mohamed Bouguessa

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.

Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banire Diallo

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.

Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini

IEEE Trans. Knowl. Data Eng., 2022

Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data.

Etienne Gael Tajeuna, Mohamed Bouguessa

Proceedings of the International Joint Conference on Neural Networks, 2022

Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering.

Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Graph Attention Network for Camera Relocalization on Dynamic Scenes.

Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

A Longitudinal Study of Customer Electricity Load Profiles.

Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

A Time-Dependent-Based Approach to Enhance Self-Harm Prediction.

Etienne Gael Tajeuna, Mohamed Bouguessa

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting.

Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang

ACM Trans. Intell. Syst. Technol., 2021

BiNeTClus: Bipartite Network Community Detection Based on Transactional Clustering.

Mohamed Bouguessa, Khaled Nouri

ACM Trans. Intell. Syst. Technol., 2021

TopoDetect: Framework for topological features detection in graph embeddings.

Maroun Haddad, Mohamed Bouguessa

Softw. Impacts, 2021

Exploring the representational power of graph autoencoder.

Maroun Haddad, Mohamed Bouguessa

Neurocomputing, 2021

2020

Context Matters: Self-Attention for Sign Language Recognition.

Fares Ben Slimane, Mohamed Bouguessa

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks.

Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang

IEEE Trans. Knowl. Data Eng., 2019

Sniffing Android code smells: an association rules mining-based approach.

Jehan Rubin, Adel Nassim Henniche, Naouel Moha, Mohamed Bouguessa, Nabila Bousbia

Proceedings of the 6th International Conference on Mobile Software Engineering and Systems, 2019

2018

A Network-Based Approach to Enhance Electricity Load Forecasting.

Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

A Statistical Framework for Handling Network Anomalies.

Mohamed Bouguessa, Amani Chouchane

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Mining Community Structures in Multidimensional Networks.

Oualid Boutemine, Mohamed Bouguessa

ACM Trans. Knowl. Discov. Data, 2017

Survival analysis for modeling critical events that communities may undergo in dynamic social networks.

Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang

Proceedings of the Symposium on Applied Computing, 2017

Detecting Large Concept Extensions for Conceptual Analysis.

Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa

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.

Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Identifying Anomalous Nodes in Multidimensional Networks.

Amani Chouchane, Mohamed Bouguessa

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

MCDA: A Parameterless Algorithm for Detecting Communities in Multidimensional Networks.

Oualid Boutemine, Mohamed Bouguessa

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Tracking Communities over Time in Dynamic Social Network.

Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Using Support Vector Machines for Intelligent Service Agents Decision Making.

Babak Khosravifar, Mohamed Bouguessa

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

2015

Identifying Authorities in Online Communities.

Mohamed Bouguessa, Lotfi Ben Romdhane

ACM Trans. Intell. Syst. Technol., 2015

A practical outlier detection approach for mixed-attribute data.

Mohamed Bouguessa

Expert Syst. Appl., 2015

Clustering categorical data in projected spaces.

Mohamed Bouguessa

Data Min. Knowl. Discov., 2015

Tracking the evolution of community structures in time-evolving social networks.

Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

A model-based approach for identifying spammers in social networks.

Farnoosh Fathaliani, Mohamed Bouguessa

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

A Mixture Model-Based Combination Approach for Outlier Detection.

Mohamed Bouguessa

Int. J. Artif. Intell. Tools, 2014

A Novel Approach for Detecting Community Structure in Networks.

Mohamed Bouguessa, Rokia Missaoui, Mohamed Talbi

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013

Document Modeling Using Syntactic and Semantic Information.

Emilie Au, Mohamed Bouguessa, Shengrui Wang

Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012

A Probabilistic Combination Approach to Improve Outlier Detection.

Mohamed Bouguessa

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Unsupervised Anomaly Detection in Transactional Data.

Mohamed Bouguessa

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Modeling Outlier Score Distributions.

Mohamed Bouguessa

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

A Practical Approach for Clustering Transaction Data.

Mohamed Bouguessa

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

An Unsupervised Approach for Identifying Spammers in Social Networks.

Mohamed Bouguessa

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010

Discovering Knowledge-Sharing Communities in Question-Answering Forums.

Mohamed Bouguessa, Shengrui Wang, Benoît Dumoulin

ACM Trans. Knowl. Discov. Data, 2010

2009

Mining Projected Clusters in High-Dimensional Spaces.

Mohamed Bouguessa, Shengrui Wang

IEEE Trans. Knowl. Data Eng., 2009

2008

Identifying authoritative actors in question-answering forums: the case of Yahoo! answers.

Mohamed Bouguessa, Benoît Dumoulin, Shengrui Wang

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.

Mohamed Bouguessa, Shengrui Wang

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

An objective approach to cluster validation.

Mohamed Bouguessa, Shengrui Wang, Haojun Sun

Pattern Recognit. Lett., 2006

A K-means-based Algorithm for Projective Clustering.

Mohamed Bouguessa, Shengrui Wang, Qingshan Jiang

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006