| 2025 | COMPSAC | Privacy-Preserving Federated Learning for Human Intention Modeling in Pediatric Cerebral Palsy Using Extended Reality. | Shokofeh Anari, Ramin Ranjbarzadeh, Martin Cunneen, Malika Bendechache |
| 2025 | COMPSAC | Lightweight Deep Learning with Virtual Reality Visualization for Offline Tumor Segmentation in Rural Environments. | Ramin Ranjbarzadeh, Shokofeh Anari, Martin Cunneen, Malika Bendechache |
| 2025 | VISIGRAPP | RandSaliencyAug: Balancing Saliency-Based Data Augmentation for Enhanced Generalization. | Teerath Kumar, Alessandra Mileo, Malika Bendechache |
| 2024 | COMPSAC | Secure and Decentralized Collaboration in Oncology: A Blockchain Approach to Tumor Segmentation. | Ramin Ranjbarzadeh, Ayse Keles, Martin Crane, Shokofeh Anari, Malika Bendechache |
| 2024 | IC3K | Personalization of Dataset Retrieval Results Using a Data Valuation Method. | Malick Ebiele, Malika Bendechache, Eamonn Clinton, Rob Brennan |
| 2021 | QRS | Can Solana's high throughput be an enabler for IoT? | Fintan Duffy, Malika Bendechache, Irina Tal |
| 2017 | AusDM | Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets. | Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi |
| 2016 | DSAA | Efficient Large Scale Clustering Based on Data Partitioning. | Malika Bendechache, M. Tahar Kechadi, Nhien-An Le-Khac |
| 2016 | ICDM | Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets. | Malika Bendechache, Nhien-An Le-Khac, M. Tahar Kechadi |