Sileshi Nibret Zeleke

According to our database, Sileshi Nibret Zeleke authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic.

Sileshi Nibret Zeleke, Amsalu Fentie Jember, Mario A. Bochicchio

CoRR, January, 2025

Vision-Language Models in ECG Interpretation: An Exploratory Study.

Sileshi Nibret Zeleke, Mario A. Bochicchio

Proceedings of the Second Workshop on Second Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

FedPerAda: Personalized Federated Learning via Local Adapters and Similarity-Aware Aggregation.

Sileshi Nibret Zeleke, Mario A. Bochicchio

Proceedings of the IEEE International Conference on Big Data, 2025

Machine Learning and Artificial Intelligence at the Edge: Federated Learning for Colposcopy Image Analysis.

Mario A. Bochicchio, Amin Tuni Gure, Sileshi Nibret Zeleke

Proceedings of the Advanced Information Networking and Applications, 2025

2024

Encrypted Malicious Network Traffic Detection: Leveraging Attention Mechanism and Markov Chain Sequencing.

Sileshi Nibret Zeleke, Amsalu Fentie Jember, Mario A. Bochicchio

Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2024

Towards Explainable Federated Learning in Healthcare: A Focus on Heart Arrhythmia Detection.

Sileshi Nibret Zeleke, Mario A. Bochicchio

Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Federated Kolmogorov-Arnold Networks for Health Data Analysis: A Study Using ECG Signal.

Sileshi Nibret Zeleke, Mario A. Bochicchio

Proceedings of the IEEE International Conference on Big Data, 2024

Personalized Federated Learning in Edge-Cloud Continuum for Privacy-Preserving Health Informatics: Opportunities and Challenges.

Mario A. Bochicchio, Sileshi Nibret Zeleke

Proceedings of the Advanced Information Networking and Applications, 2024

2023

Ensemble Learning for Encrypted Malware Detection and Classification.

Sileshi Nibret Zeleke, Solomon Zemene, Mario A. Bochicchio

Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2023

Privacy-preserving federated learning for in-home monitoring of elderly using wearable biometric sensors.

Mario A. Bochicchio, Sileshi Nibret Zeleke

Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023