Alejandro Guerra-Manzanares

38 papers A* 1B 2C 4Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cropper: An explainable lightweight attention-guided ensemble for robust plant disease diagnosis in data-scarce conditions. Appl. Soft Comput. Mingyang Guo, Alejandro Guerra-Manzanares
2026	A*	`conf`	Differential Effects of Virtual and Augmented Reality on Social Presence and Engagement in Collaborative Gaming for Unfamiliar Users. VR Lijie Zheng, Guoyueyang Cheng, Shaoteng Ke, Jiachen Yuan, Yuchen Fan, Boon Giin Lee, Matthew Pike, Alejandro Guerra-Manzanares
2026	J	`jnl`	Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning. CoRR Xuhui Dou, Hayretdin Bahsi, Alejandro Guerra-Manzanares
2026	—	`conf`	Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid‑Confidence‑Aware Selective Replay for Temporal LLM Fine-Tuning. ICISSP (1) Xuhui Dou, Hayretdin Bahsi, Alejandro Guerra-Manzanares
2026	—	`conf`	Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection. ICISSP (1) Alejandro Guerra-Manzanares, Jialin Huang
2026	J	`jnl`	Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection. CoRR Alejandro Guerra-Manzanares, Jialin Huang
2026	J	`jnl`	MI CoRR Wei Lian, Alejandro Guerra-Manzanares
2026	—	`conf`	MI²DAS: A Multi-Layer Intrusion Detection Framework with Incremental Learning for Securing Industrial IoT Networks. ICISSP (1) Wei Lian, Alejandro Guerra-Manzanares
2025	J	`jnl`	A comprehensive review on machine learning-based VPN detection: Scenarios, methods, and open challenges. Comput. Sci. Rev. Alejandro Guerra-Manzanares, Maurantonio Caprolu, Roberto Di Pietro
2025	B	`conf`	BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity. IJCNN Alejandro Guerra-Manzanares, Omar El-Herraoui, Michail Maniatakos, Farah E. Shamout
2025	J	`jnl`	BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity. CoRR Alejandro Guerra-Manzanares, Omar El-Herraoui, Michail Maniatakos, Farah E. Shamout
2025	J	`jnl`	HExNet: Enhancing malware classification through hierarchical CNNs and multi-level feature attribution. J. Inf. Secur. Appl. Muhammed Shafi K. P., Vinod P., Rafidha Rehiman K. A., Alejandro Guerra-Manzanares
2025	B	`conf`	MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning. IJCNN Alejandro Guerra-Manzanares, Farah E. Shamout
2025	J	`jnl`	MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning. CoRR Alejandro Guerra-Manzanares, Farah E. Shamout
2025	J	`jnl`	MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks. CoRR Alejandro Guerra-Manzanares, Farah E. Shamout
2025	J	`jnl`	MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks. Trans. Mach. Learn. Res. Alejandro Guerra-Manzanares, Farah Shamout
2024	J	`jnl`	Experts still needed: boosting long-term android malware detection with active learning. J. Comput. Virol. Hacking Tech. Alejandro Guerra-Manzanares, Hayretdin Bahsi
2024	J	`jnl`	Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives. Comput. Secur. Alejandro Guerra-Manzanares
2024	J	`jnl`	Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning. CoRR Saeed Shurrab, Alejandro Guerra-Manzanares, Farah E. Shamout
2024	J	`jnl`	Multimodal Machine Learning for Stroke Prognosis and Diagnosis: A Systematic Review. IEEE J. Biomed. Health Informatics Saeed Shurrab, Alejandro Guerra-Manzanares, Amani Magid, Bartlomiej Piechowski-Jozwiak, Seyed Farokh Atashzar, Farah E. Shamout
2024	J	`jnl`	Network IDS alert classification with active learning techniques. J. Inf. Secur. Appl. Risto Vaarandi, Alejandro Guerra-Manzanares
2024	J	`jnl`	Stream clustering guided supervised learning for classifying NIDS alerts. Future Gener. Comput. Syst. Risto Vaarandi, Alejandro Guerra-Manzanares
2023	J	`jnl`	Corrigendum to Concept drift and cross-device behavior: Challenges and implications for effective android malware detection Computers & Security, Volume 120, 102757. Comput. Secur. Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi
2023	J	`jnl`	Leveraging the first line of defense: a study on the evolution and usage of android security permissions for enhanced android malware detection. J. Comput. Virol. Hacking Tech. Alejandro Guerra-Manzanares, Hayretdin Bahsi, Marcin Luckner
2023	J	`jnl`	On the application of active learning for efficient and effective IoT botnet detection. Future Gener. Comput. Syst. Alejandro Guerra-Manzanares, Hayretdin Bahsi
2023	—	`conf`	Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives. TML4H Alejandro Guerra-Manzanares, L. Julián Lechuga López, Michail Maniatakos, Farah E. Shamout
2023	J	`jnl`	Privacy-preserving machine learning for healthcare: open challenges and future perspectives. CoRR Alejandro Guerra-Manzanares, L. Julián Lechuga López, Michail Maniatakos, Farah E. Shamout
2022	J	`jnl`	Android malware concept drift using system calls: Detection, characterization and challenges. Expert Syst. Appl. Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi
2022	J	`jnl`	Concept drift and cross-device behavior: Challenges and implications for effective android malware detection. Comput. Secur. Alejandro Guerra-Manzanares, Marcin Luckner, Hayretdin Bahsi
2022	—	`conf`	On the Application of Active Learning to Handle Data Evolution in Android Malware Detection. ICDF2C Alejandro Guerra-Manzanares, Hayretdin Bahsi
2022	J	`jnl`	On the relativity of time: Implications and challenges of data drift on long-term effective android malware detection. Comput. Secur. Alejandro Guerra-Manzanares, Hayretdin Bahsi
2021	J	`jnl`	KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization. Comput. Secur. Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
2020	C	`conf`	MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network. ICISSP Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm
2020	—	`conf`	Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems. ICISSP (Revised Selected Papers) Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm
2019	—	`conf`	Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective. IoTSMS Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
2019	C	`conf`	Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks. CW Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
2019	C	`conf`	In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. ICISSP Alejandro Guerra-Manzanares, Sven Nõmm, Hayretdin Bahsi
2019	C	`conf`	Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection. ICMLA Sven Nomm, Alejandro Guerra-Manzanares, Hayretdin Bahsi