Select Publications

Preprints

Wang J; Suleiman B; Alibasa MJ, 2025, Automated Unit Test Case Generation: A Systematic Literature Review, http://arxiv.org/abs/2504.20357v1

Chen S; Jameel S; Bouadjenek MR; Tang F; Naseem U; Suleiman B; Hacid H; Salim FD; Razzak I, 2025, Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer, http://arxiv.org/abs/2503.15566v1

Alselwi G; Xue H; Jameel S; Suleiman B; Salim FD; Razzak I, 2025, Long Context Modeling with Ranked Memory-Augmented Retrieval, http://arxiv.org/abs/2503.14800v1

Chen S; Bouadjenek MR; Jameel S; Naseem U; Suleiman B; Salim FD; Hacid H; Razzak I, 2025, Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification, http://arxiv.org/abs/2501.06827v1

Baets CD; Suleiman B; Chitizadeh A; Razzak I, 2024, Vulnerability Detection in Smart Contracts: A Comprehensive Survey, http://arxiv.org/abs/2407.07922v1

Suleiman B; Alibasa MJ; Purwanto RW; Jeffries L; Anaissi A; Song J, 2024, Optimisation of federated learning settings under statistical heterogeneity variations, http://arxiv.org/abs/2406.06340v1

Marrapese A; Suleiman B; Ullah I; Kim J, 2024, A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health, http://arxiv.org/abs/2403.09705v1

Sankaran L; JS S; Suleiman B, 2024, Optimizing the agent decisions for a Cloud actuator using Deep reinforcement learning, http://dx.doi.org/10.21203/rs.3.rs-4000624/v1

Jia Y; Anaissi A; Suleiman B, 2023, ResNLS: An Improved Model for Stock Price Forecasting, http://arxiv.org/abs/2312.01020v2

Ullah I; Hassan N; Gill SS; Suleiman B; Ahanger TA; Shah Z; Qadir J; Kanhere SS, 2023, Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework, http://arxiv.org/abs/2310.12523v1

Zhang Y; Suleiman B; Alibasa MJ; Farid F, 2023, Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach, http://dx.doi.org/10.21203/rs.3.rs-3062769/v1

Liu X; Gao B; Suleiman B; You H; Ma Z; Liu Y; Anaissi A, 2022, Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach, http://arxiv.org/abs/2203.12200v1

Anaissi A; Zandavi SM; Suleiman B; Alyassine W; Braytee A; Vafaee F, 2022, A Benchmark of Pre-processing Effect on Single Cell RNA Sequencing Integration Methods, http://dx.doi.org/10.21203/rs.3.rs-2249309/v1

Ahamed F; Farid F; Suleiman B; Jan Z; Wahsheh L; Shahrestani S, 2022, An Intelligent Multimodal Biometric Authentication Model for Personalised Healthcare Services, http://dx.doi.org/10.20944/preprints202206.0223.v1

Anaissi A; Suleiman B; Zandavi SM, 2021, A Fast Parallel Tensor Decomposition with Optimal Stochastic Gradient Descent: an Application in Structural Damage Identification, http://arxiv.org/abs/2111.02632v1

Anaissi A; Suleiman B, 2021, A Personalized Federated Learning Algorithm: an Application in Anomaly Detection, http://arxiv.org/abs/2111.02627v1

Yaqub W; Mohanty M; Suleiman B, 2021, Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring, http://arxiv.org/abs/2107.09373v1

Wang K; Yaqub W; Lakhdari A; Suleiman B, 2021, Combating fake news by empowering fact-checked news spread via topology-based interventions, http://arxiv.org/abs/2107.05016v1

Lakhdari A; Bouguettaya A; Mistry S; Neiat AG; Suleiman B, 2020, Elastic Composition of Crowdsourced IoT Energy Services, http://arxiv.org/abs/2011.06771v1

Anaissi A; Suleiman B; Zandavi SM, 2020, NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent, http://arxiv.org/abs/2003.08844v1

Anaissi A; Suleiman B; Zandavi SM, 2020, Online Tensor-Based Learning for Multi-Way Data, http://arxiv.org/abs/2003.04497v1


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