Dylan Seychell

According to our database, Dylan Seychell authored at least 25 papers between 2011 and 2024.

Collaborative distances:

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

2024

Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection.

Matthias Bartolo, Dylan Seychell, Josef Bajada

CoRR, 2024

AI as a Tool for Fair Journalism: Case Studies from Malta.

Dylan Seychell, Gabriel Hili, Jonathan Attard, Konstantinos Makantatis

CoRR, 2024

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

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

Proceedings of the IEEE International Symposium on Multimedia, 2023

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

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

Facial Expression Recognition in the Wild: Dataset Configurations.

Nathan Galea, Dylan Seychell

Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

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

Predicting Relative Depth between Objects from Semantic Features.

Stefan Cassar, Adrian Muscat, Dylan Seychell

CoRR, 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

Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation.

Neil Micallef, Dylan Seychell, Claude J. Bajada

IEEE Access, 2021

Blending Output from Generative Adversarial Networks to Texture High-Resolution 2D Town Maps for Roleplaying Games.

Gianfranco Siracusa, Dylan Seychell, Mark Bugeja

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2019

A Framework for Queryable Video Analysis: A Case-Study on Transport Modelling.

Mark Bugeja, Alexiei Dingli, Maria Attard, Dylan Seychell

Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, 2019

Small Object Detection in Highly Variable Backgrounds.

Michael Schembri, Dylan Seychell

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Detecting human abnormal behaviour through a video generated model.

Thomas Gatt, Dylan Seychell, Alexiei Dingli

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Marathon Bib Number Recognition using Deep Learning.

Adrian Apap, Dylan Seychell

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

2018

Ranking Regions of Visual Saliency in RGB-D Content.

Dylan Seychell, Carl J. Debono

Proceedings of the International Conference on 3D Immersion, 2018

Recognition of Handwritten Characters Using Google Fonts and Freeman Chain Codes.

Alexiei Dingli, Mark Bugeja, Dylan Seychell, Simon Mercieca

Proceedings of the Machine Learning and Knowledge Extraction, 2018

2016

Efficient object selection using depth and texture information.

Dylan Seychell, Carl James Debono

Proceedings of the 2016 Visual Communications and Image Processing, 2016

2015

Recognising Familiar Facial Features in Paintings Belonging to Separate Domains.

Wilbert Tabone, Dylan Seychell

Proceedings of the Computer Analysis of Images and Patterns, 2015

2014

Using RFID and Wi-Fi in Healthcare.

Alexiei Dingli, Dylan Seychell

Int. J. E Health Medical Commun., 2014

Gamification of Project Management within a Corporate Environment: An Exploratory Study.

Ryan Sammut, Dylan Seychell, Neville Attard

Proceedings of the 6th International Conference on Games and Virtual Worlds for Serious Applications, 2014

2012

Taking Social Networks to the Next Level.

Alexiei Dingli, Dylan Seychell

Int. J. Distributed Syst. Technol., 2012

A Model for Cultural Attributes.

Dylan Seychell, Alexiei Dingli, Carl James Debono

Proceedings of the Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation, 2012

Transition to 3D Social Networking.

Alexiei Dingli, Dylan Seychell, Jonathan Mifsud, Matthew Montebello, Vanessa Camilleri

Proceedings of the 2012 International Conference on Cyberworlds, 2012

2011

RULIE: Rule Unification for Learning Information Extraction.

Dylan Seychell, Alexiei Dingli

Proceedings of the Workshop on Discovering Meaning On the Go in Large Heterogeneous Data 2011 (LHD-11), 2011