Mohamed Bouguessa

74 papers A* 6A 2B 19C 2Misc 1Journal 31Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Geometric Perspective for High-Dimensional Multiplex Graphs. CoRR Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2025	B	`conf`	Scalable Deep Subspace Clustering Network. DSAA Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami
2025	J	`jnl`	Scalable Deep Subspace Clustering Network. CoRR Nairouz Mrabah, Mohamed Bouguessa, Sihem Sami
2025	—	`conf`	Smooth Transitions in Graph Self-Supervision: Mitigating Feature Twist Across Abstraction Levels. ICDM (Workshops) Mohamed Bouguessa, Nairouz Mrabah, Youssef Amdouni
2025	—	`conf`	Survival Structured Probabilistic Coding: Uncertainty-Aware Representation Learning for Time-to-Event Prediction. BIBM Armand Bandiang Massoua, Mohamed Bouguessa, Abdoulaye Baniré Diallo
2025	—	`conf`	TrackGAE: Tracking Dynamic Community Evolution with Graph Autoencoders. ASONAM (3) Maroun Haddad, Mohamed Bouguessa
2024	A	`conf`	A Geometric Perspective for High-Dimensional Multiplex Graphs. CIKM Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2024	J	`jnl`	A contrastive variational graph auto-encoder for node clustering. Pattern Recognit. Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2024	B	`conf`	DfHM: A Hierarchical Approach for Matching Pairs of Images Using Graph Attention Neural Networks. IJCNN Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
2024	J	`jnl`	Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. IEEE Trans. Knowl. Data Eng. Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2024	—	`conf`	MLCDG: Multi-Level Contrastive Graph Clustering in Dynamic Graphs. ASONAM (3) Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo
2024	B	`conf`	Towards Robust Time-to-Event Prediction: Integrating the Variational Information Bottleneck with Neural Survival Model. IJCNN Armand Bandiang Massoua, Abdoulaye Baniré Diallo, Mohamed Bouguessa
2023	J	`jnl`	A Contrastive Variational Graph Auto-Encoder for Node Clustering. CoRR Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	A*	`conf`	Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). ICDE Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	A	`conf`	Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. SDM Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2023	A*	`conf`	Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. AAAI Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo
2023	J	`jnl`	Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. CoRR Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
2023	J	`jnl`	Modeling Regime Shifts in Multiple Time Series. ACM Trans. Knowl. Discov. Data Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2023	B	`conf`	Modeling Time-Varying User Attitudes in Social Media. COMPSAC Etienne Gael Tajeuna, Ahmed F. M. Fahmy, Mohamed Bouguessa
2023	A*	`conf`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). ICDE Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2023	J	`jnl`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2023	A*	`conf`	Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. IJCAI Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Baniré Diallo
2023	B	`conf`	Tracking User Sentiment Changes on Social Networks. ASONAM Ahmed F. M. Fahmy, Etienne Gael Tajeuna, Mohamed Bouguessa
2022	B	`conf`	A Longitudinal Study of Customer Electricity Load Profiles. COMPSAC Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2022	B	`conf`	A Time-Dependent-Based Approach to Enhance Self-Harm Prediction. ASONAM Etienne Gael Tajeuna, Mohamed Bouguessa
2022	J	`jnl`	Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. IEEE Trans. Knowl. Data Eng. Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2022	B	`conf`	Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data. IJCNN Etienne Gael Tajeuna, Mohamed Bouguessa
2022	A*	`conf`	Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. IJCAI Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2022	B	`conf`	Graph Attention Network for Camera Relocalization on Dynamic Scenes. DSAA Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
2022	J	`jnl`	Graph Attention Network for Camera Relocalization on Dynamic Scenes. CoRR Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
2021	J	`jnl`	BiNeTClus: Bipartite Network Community Detection Based on Transactional Clustering. ACM Trans. Intell. Syst. Technol. Mohamed Bouguessa, Khaled Nouri
2021	J	`jnl`	Context Matters: Self-Attention for Sign Language Recognition. CoRR Fares Ben Slimane, Mohamed Bouguessa
2021	J	`jnl`	Exploring the Representational Power of Graph Autoencoder. CoRR Maroun Haddad, Mohamed Bouguessa
2021	J	`jnl`	Exploring the representational power of graph autoencoder. Neurocomputing Maroun Haddad, Mohamed Bouguessa
2021	J	`jnl`	Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting. ACM Trans. Intell. Syst. Technol. Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2021	J	`jnl`	Modeling Regime Shifts in Multiple Time Series. CoRR Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2021	J	`jnl`	Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. CoRR Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
2021	J	`jnl`	TopoDetect: Framework for Topological Features Detection in Graph Embeddings. CoRR Maroun Haddad, Mohamed Bouguessa
2021	J	`jnl`	TopoDetect: Framework for topological features detection in graph embeddings. Softw. Impacts Maroun Haddad, Mohamed Bouguessa
2020	B	`conf`	Context Matters: Self-Attention for Sign Language Recognition. ICPR Fares Ben Slimane, Mohamed Bouguessa
2019	J	`jnl`	A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. CoRR Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa
2019	J	`jnl`	Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift. CoRR Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
2019	J	`jnl`	Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks. IEEE Trans. Knowl. Data Eng. Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2019	—	`conf`	Sniffing Android code smells: an association rules mining-based approach. MOBILESoft@ICSE Jehan Rubin, Adel Nassim Henniche, Naouel Moha, Mohamed Bouguessa, Nabila Bousbia
2018	—	`conf`	A Network-Based Approach to Enhance Electricity Load Forecasting. ICDM Workshops Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2018	B	`conf`	A Statistical Framework for Handling Network Anomalies. ASONAM Mohamed Bouguessa, Amani Chouchane
2017	B	`conf`	A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. DSAA Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa
2017	—	`conf`	Detecting Large Concept Extensions for Conceptual Analysis. MLDM Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa
2017	J	`jnl`	Detecting Large Concept Extensions for Conceptual Analysis. CoRR Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa
2017	B	`conf`	Identifying Anomalous Nodes in Multidimensional Networks. DSAA Amani Chouchane, Mohamed Bouguessa
2017	B	`conf`	MCDA: A Parameterless Algorithm for Detecting Communities in Multidimensional Networks. ASONAM Oualid Boutemine, Mohamed Bouguessa
2017	J	`jnl`	Mining Community Structures in Multidimensional Networks. ACM Trans. Knowl. Discov. Data Oualid Boutemine, Mohamed Bouguessa
2017	Misc	`conf`	Survival analysis for modeling critical events that communities may undergo in dynamic social networks. SAC Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2016	—	`conf`	Tracking Communities over Time in Dynamic Social Network. MLDM Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2016	—	`conf`	Using Support Vector Machines for Intelligent Service Agents Decision Making. MLDM Babak Khosravifar, Mohamed Bouguessa
2015	B	`conf`	A model-based approach for identifying spammers in social networks. DSAA Farnoosh Fathaliani, Mohamed Bouguessa
2015	J	`jnl`	A practical outlier detection approach for mixed-attribute data. Expert Syst. Appl. Mohamed Bouguessa
2015	J	`jnl`	Clustering categorical data in projected spaces. Data Min. Knowl. Discov. Mohamed Bouguessa
2015	J	`jnl`	Identifying Authorities in Online Communities. ACM Trans. Intell. Syst. Technol. Mohamed Bouguessa, Lotfi Ben Romdhane
2015	B	`conf`	Tracking the evolution of community structures in time-evolving social networks. DSAA Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
2014	J	`jnl`	A Mixture Model-Based Combination Approach for Outlier Detection. Int. J. Artif. Intell. Tools Mohamed Bouguessa
2014	B	`conf`	A Novel Approach for Detecting Community Structure in Networks. ICTAI Mohamed Bouguessa, Rokia Missaoui, Mohamed Talbi
2013	—	`conf`	Document Modeling Using Syntactic and Semantic Information. AINA Workshops Emilie Au, Mohamed Bouguessa, Shengrui Wang
2012	B	`conf`	A Probabilistic Combination Approach to Improve Outlier Detection. ICTAI Mohamed Bouguessa
2012	C	`conf`	Modeling Outlier Score Distributions. ADMA Mohamed Bouguessa
2012	—	`conf`	Unsupervised Anomaly Detection in Transactional Data. ICMLA (1) Mohamed Bouguessa
2011	—	`conf`	A Practical Approach for Clustering Transaction Data. MLDM Mohamed Bouguessa
2011	B	`conf`	An Unsupervised Approach for Identifying Spammers in Social Networks. ICTAI Mohamed Bouguessa
2010	J	`jnl`	Discovering Knowledge-Sharing Communities in Question-Answering Forums. ACM Trans. Knowl. Discov. Data Mohamed Bouguessa, Shengrui Wang, Benoît Dumoulin
2009	J	`jnl`	Mining Projected Clusters in High-Dimensional Spaces. IEEE Trans. Knowl. Data Eng. Mohamed Bouguessa, Shengrui Wang
2008	A*	`conf`	Identifying authoritative actors in question-answering forums: the case of Yahoo! answers. KDD Mohamed Bouguessa, Benoît Dumoulin, Shengrui Wang
2007	C	`conf`	PCGEN: A Practical Approach to Projected Clustering and its Application to Gene Expression Data. CIDM Mohamed Bouguessa, Shengrui Wang
2006	—	`conf`	A K-means-based Algorithm for Projective Clustering. ICPR (1) Mohamed Bouguessa, Shengrui Wang, Qingshan Jiang
2006	J	`jnl`	An objective approach to cluster validation. Pattern Recognit. Lett. Mohamed Bouguessa, Shengrui Wang, Haojun Sun