Our projects regularly make their way into peer‑reviewed conferences and journals. Most publications grow directly out of funded work, led by RSOs and collaborators who push prototypes into publishable research.

2026

• M. Bartolo, G. Hili, D. Seychell, M. Montebello, C. J. Debono, S. Formosa, and K. Makantasis, "Litter detection from aerial imagery: A review of UAV-based approaches and deep learning techniques," Multimedia Tools and Applications, vol. 85, no. 3, p. 232, Feb. 2026
• A. F. Lucas and D. Seychell, "A Hybrid Deterministic Framework for Named Entity Extraction in Broadcast News Video," 2026 IEEE Conference on Artificial Intelligence (CAI), Granada, Spain, May 2026, pp. 1134-1139 

2025

• Jonathan Attard and Dylan Seychell, “Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation”, The 3rd IEEE International Conference on Artificial Intelligence (IEEE CAI 2025), Santa Clara, May 2025
• Matthew Kenely, Dylan Seychell, Carl J. Debono, Chris Porter “A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces”, The 3rd IEEE International Conference on Artificial Intelligence (IEEE CAI 2025), Santa Clara, May 2025 
• M. Bartolo, K. Makantasis and D. Seychell, "Learning Using Privileged Information for Litter Detection," 2025 13th European Workshop on Visual Information Processing (EUVIP), Valletta, Malta, October 2025

2023–2024

• C. Colombo, G. Pace, and D. Seychell, "Runtime verification and AI: Addressing pragmatic regulatory challenges," in Bridging the Gap Between AI and Reality: Second International Conference, AISoLA 2024, Crete, Greece, October 30 – November 3, 2024, Proceedings. Berlin, Heidelberg: Springer-Verlag, 2025, pp. 225–241
• D. Pisani and D. Seychell, "Detecting Litter From Aerial Imagery Using the SODA Dataset," 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Porto, Portugal, 2024, pp. 897-902
• G. Hili and D. Seychell, "Using Machine Learning to Investigate Potential Image Bias in News Articles," 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Porto, Portugal, 2024, pp. 174-179
• D. Seychell, G. Hili, J. Attard and K. Makantatis, "AI as a Tool for Fair Journalism: Case Studies from Malta," 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, Singapore, 2024, pp. 127-132
• D. Pisani, D. Seychell, C. J. Debono and M. Schembri, "SODA: A Dataset for Small Object Detection in UAV Captured Imagery," 2024 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2024, pp. 151-157