Mohamed Bouguessa

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 45

Top Topics

Social Networks

Sign Language Recognition

Community Structure

Graph Clustering

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
A contrastive variational graph auto-encoder for node clustering. Pattern Recognit. 149 (2024)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Beyond The Evidence Lower Bound: Dual Variational Graph Auto-Encoders For Node Clustering. SDM (2023)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering (Extended abstract). ICDE (2023)
Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banire Diallo
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. IJCAI (2023)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Modeling Regime Shifts in Multiple Time Series. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
A Contrastive Variational Graph Auto-Encoder for Node Clustering. CoRR (2023)
Etienne Gael Tajeuna, Ahmed F. M. Fahmy, Mohamed Bouguessa
Modeling Time-Varying User Attitudes in Social Media. COMPSAC (2023)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: On a better trade-off between Feature Randomness and Feature Drift (Extended abstract). ICDE (2023)
Nairouz Mrabah, Mohamed Mahmoud Amar, Mohamed Bouguessa, Abdoulaye Banire Diallo
Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. AAAI (2023)
Ahmed F. M. Fahmy, Etienne Gael Tajeuna, Mohamed Bouguessa
Tracking User Sentiment Changes on Social Networks. ASONAM (2023)
Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. CoRR (2023)
Etienne Gael Tajeuna, Mohamed Bouguessa
Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data. IJCNN (2022)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: On a Better Trade-off Between Feature Randomness and Feature Drift. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Etienne Gael Tajeuna, Mohamed Bouguessa
A Time-Dependent-Based Approach to Enhance Self-Harm Prediction. ASONAM (2022)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
A Longitudinal Study of Customer Electricity Load Profiles. COMPSAC (2022)
Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
Graph Attention Network for Camera Relocalization on Dynamic Scenes. CoRR (2022)
Mohamed Amine Ouali, Mohamed Bouguessa, Riadh Ksantini
Graph Attention Network for Camera Relocalization on Dynamic Scenes. DSAA (2022)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering. IJCAI (2022)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Mining Customers' Changeable Electricity Consumption for Effective Load Forecasting. ACM Trans. Intell. Syst. Technol. 12 (4) (2021)
Maroun Haddad, Mohamed Bouguessa
Exploring the Representational Power of Graph Autoencoder. CoRR (2021)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Modeling Regime Shifts in Multiple Time Series. CoRR (2021)
Maroun Haddad, Mohamed Bouguessa
TopoDetect: Framework for Topological Features Detection in Graph Embeddings. CoRR (2021)
Fares Ben Slimane, Mohamed Bouguessa
Context Matters: Self-Attention for Sign Language Recognition. CoRR (2021)
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering. CoRR (2021)
Maroun Haddad, Mohamed Bouguessa
TopoDetect: Framework for topological features detection in graph embeddings. Softw. Impacts 10 (2021)
Maroun Haddad, Mohamed Bouguessa
Exploring the representational power of graph autoencoder. Neurocomputing 457 (2021)
Mohamed Bouguessa, Khaled Nouri
BiNeTClus: Bipartite Network Community Detection Based on Transactional Clustering. ACM Trans. Intell. Syst. Technol. 12 (1) (2021)
Fares Ben Slimane, Mohamed Bouguessa
Context Matters: Self-Attention for Sign Language Recognition. ICPR (2020)
Jehan Rubin, Adel Nassim Henniche, Naouel Moha, Mohamed Bouguessa, Nabila Bousbia
Sniffing Android code smells: an association rules mining-based approach. MOBILESoft@ICSE (2019)
Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa
A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. CoRR (2019)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift. CoRR (2019)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
A Network-Based Approach to Enhance Electricity Load Forecasting. ICDM Workshops (2018)
Mohamed Bouguessa, Amani Chouchane
A Statistical Framework for Handling Network Anomalies. ASONAM (2018)
Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa
Detecting Large Concept Extensions for Conceptual Analysis. CoRR (2017)
Amani Chouchane, Mohamed Bouguessa
Identifying Anomalous Nodes in Multidimensional Networks. DSAA (2017)
Oualid Boutemine, Mohamed Bouguessa
Mining Community Structures in Multidimensional Networks. ACM Trans. Knowl. Discov. Data 11 (4) (2017)
Ziwei He, Etienne Gael Tajeuna, Shengrui Wang, Mohamed Bouguessa
A Comparative Study of Different Approaches for Tracking Communities in Evolving Social Networks. DSAA (2017)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Survival analysis for modeling critical events that communities may undergo in dynamic social networks. SAC (2017)
Oualid Boutemine, Mohamed Bouguessa
MCDA: A Parameterless Algorithm for Detecting Communities in Multidimensional Networks. ASONAM (2017)
Louis Chartrand, Jackie Chi Kit Cheung, Mohamed Bouguessa
Detecting Large Concept Extensions for Conceptual Analysis. MLDM (2017)
Babak Khosravifar, Mohamed Bouguessa
Using Support Vector Machines for Intelligent Service Agents Decision Making. MLDM (2016)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Tracking Communities over Time in Dynamic Social Network. MLDM (2016)
Mohamed Bouguessa
A practical outlier detection approach for mixed-attribute data. Expert Syst. Appl. 42 (22) (2015)
Farnoosh Fathaliani, Mohamed Bouguessa
A model-based approach for identifying spammers in social networks. DSAA (2015)
Mohamed Bouguessa
Clustering categorical data in projected spaces. Data Min. Knowl. Discov. 29 (1) (2015)
Mohamed Bouguessa, Lotfi Ben Romdhane
Identifying Authorities in Online Communities. ACM Trans. Intell. Syst. Technol. 6 (3) (2015)
Etienne Gael Tajeuna, Mohamed Bouguessa, Shengrui Wang
Tracking the evolution of community structures in time-evolving social networks. DSAA (2015)
Mohamed Bouguessa
A Mixture Model-Based Combination Approach for Outlier Detection. Int. J. Artif. Intell. Tools 23 (4) (2014)
Mohamed Bouguessa, Rokia Missaoui, Mohamed Talbi
A Novel Approach for Detecting Community Structure in Networks. ICTAI (2014)
Emilie Au, Mohamed Bouguessa, Shengrui Wang
Document Modeling Using Syntactic and Semantic Information. AINA Workshops (2013)
Mohamed Bouguessa
A Probabilistic Combination Approach to Improve Outlier Detection. ICTAI (2012)
Mohamed Bouguessa
Modeling Outlier Score Distributions. ADMA (2012)
Mohamed Bouguessa
Unsupervised Anomaly Detection in Transactional Data. ICMLA (1) (2012)
Mohamed Bouguessa
An Unsupervised Approach for Identifying Spammers in Social Networks. ICTAI (2011)
Mohamed Bouguessa
A Practical Approach for Clustering Transaction Data. MLDM (2011)
Mohamed Bouguessa, Shengrui Wang, Benoît Dumoulin
Discovering Knowledge-Sharing Communities in Question-Answering Forums. ACM Trans. Knowl. Discov. Data 5 (1) (2010)
Mohamed Bouguessa, Shengrui Wang
Mining Projected Clusters in High-Dimensional Spaces. IEEE Trans. Knowl. Data Eng. 21 (4) (2009)
Mohamed Bouguessa, Benoît Dumoulin, Shengrui Wang
Identifying authoritative actors in question-answering forums: the case of Yahoo! answers. KDD (2008)
Mohamed Bouguessa, Shengrui Wang
PCGEN: A Practical Approach to Projected Clustering and its Application to Gene Expression Data. CIDM (2007)
Mohamed Bouguessa, Shengrui Wang, Qingshan Jiang
A K-means-based Algorithm for Projective Clustering. ICPR (1) (2006)
Mohamed Bouguessa, Shengrui Wang, Haojun Sun
An objective approach to cluster validation. Pattern Recognit. Lett. 27 (13) (2006)