RULIE: Rule Unification for Learning Information Extraction. - Dylan Seychell; Alexiei Dingli (LDH, 2011)

Transition to 3D Social Networking. - Alexiei Dingli; Dylan Seychell; Jonathan Mifsud; Matthew Montebello; Vanessa Camilleri (CW, 2012)

A Model for Cultural Attributes. - Dylan Seychell; Alexiei Dingli; Carl James Debono (EMS, 2012)

Taking Social Networks to the Next Level. - Alexiei Dingli; Dylan Seychell (Int. J. Distributed Syst. Technol., 2012)

Gamification of Project Management within a Corporate Environment: An Exploratory Study. - Ryan Sammut; Dylan Seychell; Neville Attard (VS-GAMES, 2014)

Using RFID and Wi-Fi in Healthcare. - Alexiei Dingli; Dylan Seychell (Int. J. E Health Medical Commun., 2014)

Recognising Familiar Facial Features in Paintings Belonging to Separate Domains. - Wilbert Tabone; Dylan Seychell (CAIP (1), 2015)

Efficient object selection using depth and texture information. - Dylan Seychell; Carl James Debono (VCIP, 2016)

Recognition of Handwritten Characters Using Google Fonts and Freeman Chain Codes. - Alexiei Dingli; Mark Bugeja; Dylan Seychell; Simon Mercieca (CD-MAKE, 2018)

Ranking Regions of Visual Saliency in RGB-D Content. - Dylan Seychell; Carl J. Debono (IC3D, 2018)

Marathon Bib Number Recognition using Deep Learning. - Adrian Apap; Dylan Seychell (ISPA, 2019)

Detecting human abnormal behaviour through a video generated model. - Thomas Gatt; Dylan Seychell; Alexiei Dingli (ISPA, 2019)

Small Object Detection in Highly Variable Backgrounds. - Michael Schembri; Dylan Seychell (ISPA, 2019)

A Framework for Queryable Video Analysis: A Case-Study on Transport Modelling. - Mark Bugeja; Alexiei Dingli; Maria Attard; Dylan Seychell (SMAS@MobiCom, 2019)

Blending Output from Generative Adversarial Networks to Texture High-Resolution 2D Town Maps for Roleplaying Games. - Gianfranco Siracusa; Dylan Seychell; Mark Bugeja (CoG, 2021)

Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation. - Neil Micallef; Dylan Seychell; Claude J. Bajada (IEEE Access, 2021)

COTS: A Multipurpose RGB-D Dataset for Saliency and Image Manipulation Applications. - Dylan Seychell; Carl James Debono; Mark Bugeja; Jeremy Borg; Matthew Sacco (IEEE Access, 2021)

Predicting Relative Depth between Objects from Semantic Features. - Stefan Cassar; Adrian Muscat; Dylan Seychell (CoRR, 2021)

An XAI Approach to Deep Learning Models in the Detection of Ductal Carcinoma in Situ. - Michele La Ferla; Matthew Montebello; Dylan Seychell (CoRR, 2021)

Facial Expression Recognition in the Wild: Dataset Configurations. - Nathan Galea; Dylan Seychell (MIPR, 2022)

Uncovering Bias in the Face Processing Pipeline: An Analysis of Popular and State-of-the-Art Algorithms Across Demographic Groups. - Christian Galea; Chantelle Saliba; Matthew Sacco; Mark Bugeja; Noel Buttigieg; Dylan Seychell (AI*IA, 2023)

Efficient Automatic Annotation of Binary Masks for Enhanced Training of Computer Vision Models. - Dylan Seychell; Matthew Kenely; Matthias Bartolo; Carl James Debono; Mark Bugeja; Matthew Sacco (ISM, 2023)

Graph-Based Semi-Supervised Learning With Tensor Embeddings for Hyperspectral Data Classification. - Ioannis Georgoulas; Eftychios Protopapadakis; Konstantinos Makantasis; Dylan Seychell; Anastasios Doulamis; Nikolaos Doulamis (IEEE Access, 2023)

SODA: A Dataset for Small Object Detection in UAV Captured Imagery. - Daniel Pisani; Dylan Seychell; Carl James Debono; Michael Schembri (ICIP, 2024)

Runtime Verification and AI: Addressing Pragmatic Regulatory Challenges. - Christian Colombo 001; Gordon J. Pace; Dylan Seychell (AISoLA, 2024)

AI as a Tool for Fair Journalism: Case Studies from Malta. - Dylan Seychell; Gabriel Hili; Jonathan Attard; Konstantinos Makantatis (CoRR, 2024)

Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection. - Matthias Bartolo; Dylan Seychell; Josef Bajada (CoRR, 2024)

Correlation of Object Detection Performance with Visual Saliency and Depth Estimation. - Matthias Bartolo; Dylan Seychell (CoRR, 2024)

Enhancing Communication for Individuals with Complex Communication Needs (CCN) Through AI and Visual Scene Display Technology. - Rianne Marie Azzopardi; Peter Albert Xuereb; May Agius; Sharon Borg Schembri; Dylan Seychell (HCI (15), 2025)

MRTMD: A Multi-Resolution Dataset for Evaluating Object Detection in Traffic Monitoring Systems. - Mark Bugeja; Matthias Bartolo; Matthew Montebello; Dylan Seychell (IEEE Access, 2025)

Towards New Benchmark for AI Alignment & Sentiment Analysis in Socially Important Issues: A Comparative Study of Human and LLMs in the Context of AGI. - Ljubisa Bojic; Dylan Seychell; Milan Cabarkapa (CoRR, 2025)

A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces. - Matthew Kenely; Dylan Seychell; Carl James Debono; Chris Porter (CoRR, 2025)

Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation. - Jonathan Attard; Dylan Seychell (CoRR, 2025)