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2020 – today
- 2025
[j12]Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl:
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage. Neurocomputing 611: 128657 (2025)- 2024
- [j11]Davide Liberato Manna
, Alex Vicente-Sola, Paul Kirkland, Trevor Joseph Bihl, Gaetano Di Caterina:
Time Series Forecasting via Derivative Spike Encoding and Bespoke Loss Functions for Spiking Neural Networks. Comput. 13(8): 202 (2024) - [j10]Hernan Hernandez, Sandra Baez, Vicente Medel, Sebastian Moguilner, Jhosmary Cuadros, Hernando Santamaría-García, Enzo Tagliazucchi, Pedro A. Valdés-Sosa, Francisco Lopera, John Fredy Ochoa-Gómez, Alfredis González-Hernández, Jasmin Bonilla-Santos, Rodrigo A. Gonzalez-Montealegre, Tuba Aktürk, Ebru Yildirim, Renato Anghinah, Agustina Legaz, Sol Fittipaldi, Görsev Yener, Javier Escudero, Claudio Babiloni, Susanna Lopez, Robert Whelan, Alberto A Fernández Lucas, Adolfo M. García, David Huepe, Gaetano Di Caterina, Marcio Soto-Añari, Agustina Birba, Agustin Sainz-Ballesteros, Carlos Coronel-Oliveros, Eduar Herrera, Daniel Abásolo, Kerry Kilborn, Nicolás Rubido, Ruaridh A. Clark, Rubén Herzog, Deniz Yerlikaya, Bahar Güntekin, Mario A. Parra, Pavel Prado, Agustín Ibáñez:
Brain health in diverse settings: How age, demographics and cognition shape brain function. NeuroImage 295: 120636 (2024) - [j9]Joshua Robertson, Paul Kirkland, Gaetano Di Caterina, Antonio Hurtado:
VCSEL-based photonic spiking neural networks for ultrafast detection and tracking. Neuromorph. Comput. Eng. 4(1): 14010 (2024) - [c33]Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs:
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits. HICSS 2024: 7561-7570 - 2023
- [c32]Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina:
Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch. EANN 2023: 227-238 - [c31]Ming Gong, John J. Soraghan, Gaetano Di Caterina, Xiaoquan Li, Derek Grose:
A Boundary Optimization Scheme for Liver Tumors from CT Images. EUSIPCO 2023: 1135-1139 - [c30]Paul Kirkland, Carmine Clemente, Malcolm Macdonald, Gaetano Di Caterina, Gabriele Meoni:
Neuromorphic Sensing and Processing for Space Domain Awareness. IGARSS 2023: 4738-4741 - [i7]Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor Joseph Bihl, Gaetano Di Caterina:
Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch. CoRR abs/2302.07624 (2023) - 2022
- [j8]Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor Bihl:
Keys to accurate feature extraction using residual spiking neural networks. Neuromorph. Comput. Eng. 2(4): 44001 (2022) - [j7]Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina:
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario. Neuromorph. Comput. Eng. 2(4): 44009 (2022) - [j6]Paul Kirkland, Davide L. Manna, Alex Vicente-Sola, Gaetano Di Caterina:
Unsupervised Spiking Instance Segmentation on Event Data Using STDP Features. IEEE Trans. Computers 71(11): 2728-2739 (2022) - [c29]Fraser Douglas, Harry Gover, Cheryl Docherty, Gordon Shields, Konstantina Leventi, Gaetano Di Caterina:
An Exploration of the Optimal Feature-Classifier Combinations for Transradial Prosthesis Control. EMBC 2022: 3187-3190 - [c28]Ming Gong, Baixiang Zhao, John J. Soraghan, Gaetano Di Caterina, Derek Grose:
Hybrid attention mechanism for liver tumor segmentation in CT images. EUVIP 2022: 1-6 - [c27]Bethany H. Thompson, Gaetano Di Caterina, Jeremy P. Voisey:
Pseudo-Label Refinement Using Superpixels for Semi-Supervised Brain Tumour Segmentation. ISBI 2022: 1-5 - [i6]Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina:
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario. CoRR abs/2207.04881 (2022) - [i5]Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl:
Evaluating the temporal understanding of neural networks on event-based action recognition with DVS-Gesture-Chain. CoRR abs/2209.14915 (2022) - 2021
- [j5]David Vint, Matthew Anderson, Yuhao Yang, Christos V. Ilioudis, Gaetano Di Caterina, Carmine Clemente:
Automatic Target Recognition for Low Resolution Foliage Penetrating SAR Images Using CNNs and GANs. Remote. Sens. 13(4): 596 (2021) - [i4]Joshua Robertson, Paul Kirkland, Juan Arturo Alanis, Matej Hejda, Julián Bueno, Gaetano Di Caterina, Antonio Hurtado:
Ultrafast Neuromorphic Photonic Image Processing with a VCSEL Neuron. CoRR abs/2110.01617 (2021) - [i3]Bethany H. Thompson, Gaetano Di Caterina, Jeremy P. Voisey:
Pseudo-label refinement using superpixels for semi-supervised brain tumour segmentation. CoRR abs/2110.08589 (2021) - [i2]Paul Kirkland, Davide L. Manna, Alex Vicente-Sola, Gaetano Di Caterina:
Unsupervised Spiking Instance Segmentation on Event Data using STDP. CoRR abs/2111.05283 (2021) - [i1]Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Gaetano Di Caterina, Trevor J. Bihl:
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks. CoRR abs/2111.05955 (2021) - 2020
- [j4]Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, George Matich:
Perception Understanding Action: Adding Understanding to the Perception Action Cycle With Spiking Segmentation. Frontiers Neurorobotics 14: 568319 (2020) - [j3]Anastasios Stamoulakatos, Javier Cardona, Chris McCaig, David Murray, Hein Filius, Robert C. Atkinson, Xavier J. A. Bellekens, W. Craig Michie, Ivan Andonovic, Pavlos I. Lazaridis, Andrew W. Hamilton, Md. Moinul Hossain, Gaetano Di Caterina, Christos Tachtatzis:
Automatic Annotation of Subsea Pipelines Using Deep Learning. Sensors 20(3): 674 (2020) - [c26]Keerati Kaewrak, John J. Soraghan, Gaetano Di Caterina, Derek Grose:
TwoPath U-Net for Automatic Brain Tumor Segmentation from Multimodal MRI Data. BrainLes@MICCAI (2) 2020: 300-309 - [c25]Weijie Ke, Yannan Xing, Gaetano Di Caterina, Lykourgos Petropoulakis, John J. Soraghan:
Intersected EMG Heatmaps and Deep Learning Based Gesture Recognition. ICMLC 2020: 73-78 - [c24]Amlan Basu, Keerati Kaewrak, Lykourgos Petropoulakis, Gaetano Di Caterina, John J. Soraghan:
Modified Capsule Neural Network (Mod-CapsNet) for Indoor Home Scene Recognition. IJCNN 2020: 1-6 - [c23]Weijie Ke, Yannan Xing, Gaetano Di Caterina, Lykourgos Petropoulakis, John J. Soraghan:
Deep Convolutional Spiking Neural Network Based Hand Gesture Recognition. IJCNN 2020: 1-7 - [c22]Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, George Matich:
SpikeSEG: Spiking Segmentation via STDP Saliency Mapping. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c21]Keerati Kaewrak, John J. Soraghan, Gaetano Di Caterina, Derek Grose:
Modified U-Net for Automatic Brain Tumor Regions Segmentation. EUSIPCO 2019: 1-5 - [c20]Baixiang Zhao, John J. Soraghan, Gaetano Di Caterina, Derek Grose:
Segmentation of Head and Neck Tumours Using Modified U-net. EUSIPCO 2019: 1-4 - [c19]Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, Yiannis Andreopoulos, George Matich:
UAV Detection: A STDP Trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach. ICANN (1) 2019: 724-736 - [c18]Zhihao He, Tian Jin, Amlan Basu, John J. Soraghan, Gaetano Di Caterina, Lykourgos Petropoulakis:
Human Emotion Recognition in Video Using Subtraction Pre-Processing. ICMLC 2019: 374-379 - 2018
- [c17]Huiyi Wu, John J. Soraghan, Anja Lowit, Gaetano Di Caterina:
Convolutional Neural Networks for Pathological Voice Detection. EMBC 2018: 1-4 - [c16]Harmeet Singh, Marco Controzzi, Christian Cipriani, Gaetano Di Caterina, Lykourgos Petropoulakis, John J. Soraghan:
Online Prediction of Robot to Human Handover Events Using Vibrations. EUSIPCO 2018: 687-691 - [c15]Baixiang Zhao, John J. Soraghan, Derek Grose, Trushali Doshi, Gaetano Di Caterina:
Automatic 3D Detection and Segmentation of Head and Neck Cancer from MRI Data. EUVIP 2018: 1-6 - [c14]Yannan Xing, Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, George Matich:
Real-Time Embedded Intelligence System: Emotion Recognition on Raspberry Pi with Intel NCS. ICANN (1) 2018: 801-808 - [c13]Huiyi Wu, John J. Soraghan, Anja Lowit, Gaetano Di Caterina:
A Deep Learning Method for Pathological Voice Detection Using Convolutional Deep Belief Networks. INTERSPEECH 2018: 446-450 - [c12]Baixiang Zhao, John J. Soraghan, Gaetano Di Caterina, Lykourgos Petropoulakis, Derek Grose, Trushali Doshi:
Automatic 3D segmentation of MRI data for detection of head and neck cancerous lymph nodes. SPA 2018: 298-303 - 2017
- [j2]Trushali Doshi, John J. Soraghan, Lykourgos Petropoulakis, Gaetano Di Caterina, Derek Grose, Kenneth MacKenzie, Christina Wilson:
Automatic pharynx and larynx cancer segmentation framework (PLCSF) on contrast enhanced MR images. Biomed. Signal Process. Control. 33: 178-188 (2017) - [c11]Radhika Menon, Lykourgos Petropoulakis, John J. Soraghan, Heba M. Lakany, Kenneth MacKenzie, Omar Hilmi, Gaetano Di Caterina:
Automatic Quantification of Vocal Cord Paralysis - An Application of Fibre-optic Endoscopy Video Processing. BIOIMAGING 2017: 108-113 - 2016
- [c10]Gaetano Di Caterina, Trushali Doshi, John J. Soraghan, Lykourgos Petropoulakis:
A Novel Decentralised System Architecture for Multi-camera Target Tracking. ACIVS 2016: 92-104 - 2015
- [j1]Masrullizam Mat Ibrahim, John J. Soraghan, Lykourgos Petropoulakis, Gaetano Di Caterina:
Yawn analysis with mouth occlusion detection. Biomed. Signal Process. Control. 18: 360-369 (2015) - [c9]Radhika Menon, Gaetano Di Caterina, Heba M. Lakany, Lykourgos Petropoulakis, Bernard A. Conway, John J. Soraghan:
Automatic misclassification rejection for LDA classifier using ROC curves. EMBC 2015: 482-485 - [c8]Sean Campbell, Trushali Doshi, John J. Soraghan, Lykourgos Petropoulakis, Gaetano Di Caterina, Derek Grose, Kenneth MacKenzie:
3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods. EMBC 2015: 2419-2422 - 2014
- [c7]Gaetano Di Caterina, John J. Soraghan:
A robust, precise and flexible tracking algorithm based on IMS and SWAD. ICASSP 2014: 6588-6592 - 2012
- [c6]Gaetano Di Caterina, Iain Hunter, John J. Soraghan:
DSP Embedded Smart Surveillance Sensor with Robust SWAD-Based Tracker. ACIVS 2012: 48-58 - [c5]Gaetano Di Caterina, Nurulfajar Abd Manap, Masrullizam Mat Ibrahim, John J. Soraghan:
Real Time Door Access Event Detection and Notification in a Reactive Smart Surveillance System. ICISP 2012: 459-467 - 2011
- [c4]Gaetano Di Caterina, John J. Soraghan:
An improved Mean Shift tracker with fast failure recovery strategy after complete occlusion. AVSS 2011: 130-135 - [c3]Nurulfajar Abd Manap, Gaetano Di Caterina, Masrullizam Mat Ibrahim, John J. Soraghan:
Co-operative surveillance cameras for high quality face acquisition in a real-time door monitoring system. EUVIP 2011: 99-104 - [c2]Gaetano Di Caterina, John J. Soraghan:
An abandoned and removed object detection algorithm in a reactive smart surveillance system. DSP 2011: 1-6 - 2010
- [c1]Nurulfajar Abd Manap, Gaetano Di Caterina, John J. Soraghan, Vijay Sidharth, Hui Yao:
Face detection and stereo matching algorithms for smart surveillance system with IP cameras. EUVIP 2010: 77-81
Coauthor Index
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