The following materials are copyrighted by the corresponding publisher, you can download them only if you follow their restrictions (e.g., for private use or educational use). The online version may be slightly different from the final version. I put them online just for the convenience of academic sharing.


     Book  Chapters

  • M. Moussaoui, E. Bertin, N. Crespi, “Blockchain and Smart Contracts for Telecommunications; The whys and wherefores,” Blockchain and Smart-Contract Technologies for Innovative Applications, edited by Springer, 2024.
  • Journals

  • B. Bellaj, N. Crespi, E, Bertin, A. Mezrioui, “Drawing the boundaries between Blockchain and
    Blockchain-like systems: A Comprehensive Survey on distributed Ledger Technologies,” Proceedings of the IEEE, 2024.
  • K. Mnassri, R. Farahbakhsh, N. Crespi, “Multilingual Hate Speech Detection: A Semi-Supervised Generative Adversarial Approach,” Entropy. 2024; 26(4):344.
  • D. Li, N. Crespi, R. Minerva, R. Farahbakhsh, K. Li, M. Hsieh, “Detecting Market Corners in Crude Oil Futures: A Robust Hybrid Anomaly Detection Approach,” Applied Artificial Intelligence, 2024.
  • A. R. Jafari, B. Heidary, R. Farahbakhsh, M. Salehi, N. Crespi, “Language Models for Multi-lingual Tasks – a Survey,” International Journal of Advanced Computer Science and Applications (IJACSA), 2024.
  • A. R. Jafari, P. Rajapaksha, R. Farahbakhsh, G. Li, N. Crespi, “Unveiling Human Values: Analyzing Emotions behind Arguments,” 2024. Entropy 26, no. 4: 327.
  • M. Alvi, R. Minerva, P. Rajapaksha, N. Crespi, U. Alvi, “Traffic Flow Prediction in Sensor-Limited Areas through Synthetic Sensing and Data Fusion,” IEEE Sensors Letters, 2024.
  • K. Mnassri, R. Farahbakhsh, R. Chalehchaleh, P. Rajapaksha, A. Jafari, G. Li, N. Crespi, “A survey on multi-lingual offensive language detection”, PeerJ Computer Science, 2024.
  • R. Chalehchaleh, M. Salehi, R. Farahbakhsh, N. Crespi, “BRaG: a hybrid multi-feature framework for fake news detection on social media,” Social Network Analysis and Mining. 14, 35 (2024).
  • P. Rajapaksha, N. Crespi, Explainable attention pruning: a meta-learning-based approach,” in IEEE Transactions on Artificial Intelligence, doi: 10.1109/TAI.2024.3363686.
  • Conferences

  • L. Ding, P. Rajapaksha, A. K. Myat, R. Farahbakhsh, N. Crespi, “Can Hallucination Reduction in LLMs Improve Online Sexism Detection?,” 10th Intelligent Systems Conference (IntelliSys), Amsterdam, September 2024.
  • R. Chalehchaleh, R. Farahbakhsh, N. Crespi, “Multilingual Fake News Detection: A Study on Various Models and Training Scenarios,” 10th Intelligent Systems Conference (IntelliSys), Amsterdam, September 2024.
  • G. Li, X. Zhao, A. Jafari, W. Shao, R. Farahbakhsh, N. Crespi, “Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training,” LREC-COLING, Torino, May 2024.