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2020 – today
- 2026
[j9]Suhad Malayshi, Ahmad Hasasneh:
Hybrid transformer framework for domain generated algorithms detection: A Fusion of textual and numeric features. Int. Arab J. Inf. Technol. 23(1): 98-108 (2026)- 2025
- [j8]Ahmad Hasasneh
, Sari Masri, Chakib Tadj:
Unveiling Hidden Patterns in Infant Cry Audio: A Multi-Feature Vision Transformer Approach With Explainable AI. IEEE Access 13: 161103-161115 (2025) - [j7]Hussam Qushtom, Ahmad Hasasneh, Sari Masri:
Enhanced Wheat Disease Detection Using Deep Learning and Explainable AI Techniques. Comput. Mater. Continua 84(1): 1379-1395 (2025) - 2024
- [j6]Yaqeen Raddad, Ahmad Hasasneh, Obada Abdallah, Camil Rishmawi, Nouar Qutob:
Integrating Statistical Methods and Machine Learning Techniques to Analyze and Classify COVID-19 Symptom Severity. Big Data Cogn. Comput. 8(12): 192 (2024) - [j5]Hussam Alawneh, Ahmad Hasasneh:
Survival Prediction of Children after Bone Marrow Transplant Using Machine Learning Algorithms. Int. Arab J. Inf. Technol. 21(3): 394-407 (2024) - [j4]Mohammad Abu Tami, Sari Masri, Ahmad Hasasneh, Chakib Tadj:
Transformer-Based Approach to Pathology Diagnosis Using Audio Spectrogram. Inf. 15(5): 253 (2024) - [j3]Sari Masri, Ahmad Hasasneh, Mohammad Abu Tami, Chakib Tadj:
Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques. Inf. 15(12): 751 (2024) - [j2]Manar Abu Talib, Yaman Afadar, Qassim Nasir, Ali Bou Nassif, Haytham Hijazi, Ahmad Hasasneh:
A tree-based explainable AI model for early detection of Covid-19 using physiological data. BMC Medical Informatics Decis. Mak. 24(1): 179 (2024) - 2021
- [j1]Haytham Hijazi, Manar Abu Talib, Ahmad Hasasneh, Ali Bou Nassif, Nafisa Ahmed, Qassim Nasir:
Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19. Sensors 21(24): 8424 (2021)
2010 – 2019
- 2012
- [b1]Ahmad Hasasneh:
Robot semantic place recognition based on deep belief networks and a direct use of tiny images. (Robot de reconnaissance des lieux sémantiques basée sur l'architecture profonde et une utilisation directe de mini-images). University of Paris-Sud, Orsay, France, 2012 - [c1]Ahmad Hasasneh, Emmanuelle Frenoux, Philippe Tarroux:
Semantic Place Recognition based on Deep Belief Networks and Tiny Images. ICINCO (2) 2012: 236-241
Coauthor Index
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