Noel E. O'Connor

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 236

Top Venues

Publications

Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
Learning and Reusing Primitive Behaviours to Improve Hindsight Experience Replay Sample Efficiency. ICARA (2024)
Carles García-Cabrera, Eric Arazo Sanchez, Enric Moreu, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Synthetic Balancing of Cardiac MRI Datasets. MIUA (2) (2024)
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Learning Saliency From Fixations. WACV (2024)
Mohammed Amine Togou, Anderson Augusto Simiscuka, Rohit Verma, Noel E. O'Connor, Iñigo Tamayo, Stefano Masneri, Mikel Zorrilla, Gabriel-Miro Muntean
An Innovative Adaptive Web-Based Solution for Improved Remote Co-Creation and Delivery of Artistic Performances. IEEE Trans. Broadcast. 70 (2) (2024)
Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Guénolé Silvestre, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation. CoRR (2024)
Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. ECIR (3) (2024)
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Mohamed El Amine Seddik, Karttikeya Mangalam, Noel E. O'Connor
Do Vision and Language Encoders Represent the World Similarly? CoRR (2024)
Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. CoRR (2024)
Qiang Wang, Robert McCarthy, David Cordova Bulens, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies. IEEE Robotics Autom. Lett. 9 (2) (2024)
Paul Albert, Jack Valmadre, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
An accurate detection is not all you need to combat label noise in web-noisy datasets. CoRR (2024)
Qiang Wang, Yixin Deng, Francisco Roldan Sanchez, Keru Wang, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond
Dataset Clustering for Improved Offline Policy Learning. CoRR (2024)
Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. CoRR (2023)
Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency. CoRR (2023)
Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
Motion Aware Self-Supervision for Generic Event Boundary Detection. WACV (2023)
Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
Hierarchical Reinforcement Learning for In-hand Robotic Manipulation Using Davenport Chained Rotations. ICARA (2023)
Enric Moreu, Alex Martinelli, Martina Naughton, Philip Kelly, Noel E. O'Connor
Fashion CUT: Unsupervised Domain Adaptation for Visual Pattern Classification in Clothes Using Synthetic Data and Pseudo-labels. SCIA (1) (2023)
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. IJCNN (2023)
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Learning Saliency From Fixations. CoRR (2023)
Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond
Improving Behavioural Cloning with Positive Unlabeled Learning. CoRL (2023)
Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Stephen J. Redmond
Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning. CoRR (2023)
Ayush K. Rai, Tarun Krishna, Feiyan Hu, Alexandru Drimbarean, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach. CoRR (2023)
Sen Yan, Shaoshu Zhu, Jaime B. Fernandez, Eric Arazo Sanchez, Yingqi Gu, Noel E. O'Connor, David O'Connor, Mingming Liu
Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data. ITSC (2023)
Sen Yan, Maqsood Hussain Shah, Ji Li, Noel E. O'Connor, Mingming Liu
A Review on AI Algorithms for Energy Management in E-Mobility Services. CoRR (2023)
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Vision Transformers are Inherently Saliency Learners. BMVC (2023)
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data. CoRR (2023)
Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks. Expert Syst. J. Knowl. Eng. 40 (6) (2023)
Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor
An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images. CoRR (2023)
Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation. ICEBE (2023)
Sen Yan, Hongyuan Fang, Ji Li, Tomás Ward, Noel E. O'Connor, Mingming Liu
Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning. CoRR (2023)
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. CoRR (2023)
Enric Moreu, Eric Arazo, Kevin McGuinness, Noel E. O'Connor
Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer prevention. Expert Syst. J. Knowl. Eng. 40 (6) (2023)
Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor
A Flash Attention Transformer for Multi-Behaviour Recommendation. CIKM (2023)
Enric Moreu, Alex Martinelli, Martina Naughton, Philip Kelly, Noel E. O'Connor
Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels. CoRR (2023)
Carles García-Cabrera, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Magnetic Resonance Phase Detection Using Neural Networks. AICS (2023)
Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. WACV (2023)
Sidra Aleem, Mayug Maniparambil, Suzanne Little, Noel E. O'Connor, Kevin McGuinness
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans. CoRR (2023)
Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor
AN L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images. ICIP (2023)
Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
Unifying Synergies between Self-supervised Learning and Dynamic Computation. CoRR (2023)
Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel Murphy, Kevin McGuinness, Noel E. O'Connor
Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts. ICCV (Workshops) (2023)
Julia Dietlmeier, Carles García-Cabrera, Anam Hashmi, Kathleen M. Curran, Noel E. O'Connor
Cardiac MRI Reconstruction from Undersampled K-Space Using Double-Stream IFFT and a Denoising GNA-UNET Pipeline. STACOM@MICCAI (2023)
Tarun Krishna, Ayush K. Rai, Alexandru Drimbarean, Eric Arazo, Paul Albert, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
Unifying Synergies between Self-supervised Learning and Dynamic Computation. BMVC (2023)
Francisco Roldan Sanchez, Stephen James Redmond, Kevin McGuinness, Noel E. O'Connor
Towards advanced robotic manipulation. CoRR (2022)
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
Addressing out-of-distribution label noise in webly-labelled data. WACV (2022)
Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor
BaseTransformers: Attention over base data-points for One Shot Learning. BMVC (2022)
Mayug Maniparambil, Kevin McGuinness, Noel E. O'Connor
BaseTransformers: Attention over base data-points for One Shot Learning. CoRR (2022)
Luis Lebron, Yvette Graham, Noel E. O'Connor, Kevin McGuinness
Evaluation of Automatically Generated Video Captions Using Vision and Language Models. ICIP (2022)
Tarun Krishna, Ayush K. Rai, Yasser Abdelaziz Dahou Djilali, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor
Dynamic Channel Selection in Self-Supervised Learning. CoRR (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling H. O'Connor, Noel E. O'Connor, Kevin McGuinness
Utilizing unsupervised learning to improve sward content prediction and herbage mass estimation. CoRR (2022)
Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts. CoRR (2022)
Carles García-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O'Connor, Kevin McGuinness
Cardiac Segmentation Using Transfer Learning Under Respiratory Motion Artifacts. STACOM@MICCAI (2022)
Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness
Improving Person Re-Identification with Temporal Constraints. WACV (Workshops) (2022)
Venkatesh G. Munirathnam, Noel E. O'Connor, Suzanne Little
Incorporating Spatio-Temporal Information in Frustum-ConvNet for Improved 3D Object Detection in Instrumented Vehicles. EUVIP (2022)
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
MPC-CSAS: Multi-Party Computation for Real-Time Privacy-Preserving Speed Advisory Systems. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CVPR Workshops (2022)
Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. LREC (2022)
Luis Lebron, Yvette Graham, Kevin McGuinness, Konstantinos Kouramas, Noel E. O'Connor
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment. CoRR (2022)
Andreas Spanias, Vivek Sivaraman Narayanaswamy, Erica Forzani, Greg Raupp, Nadia Kellam, Megan O'Donnell, Wendy Barnard, Jean S. Larson, Noel E. O'Connor, Nicholas Dunne, Stephen Daniels, Suzanne Little
The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. IISA (2022)
Thiago Braga Rodrigues, Ciarán Ó Catháin, Noel E. O'Connor, Niall Murray
A QoE Evaluation of Haptic and Augmented Reality Gait Applications via Time and Frequency-Domain Electrodermal Activity (EDA) Analysis. ISMAR Adjunct (2022)
Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets. CoRR (2022)
Paul Albert, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
Embedding Contrastive Unsupervised Features to Cluster In- And Out-of-Distribution Noise in Corrupted Image Datasets. ECCV (31) (2022)
Marc Górriz Blanch, Noel E. O'Connor, Marta Mrak
Scene-Adaptive Temporal Stabilisation for Video Colourisation Using Deep Video Priors. ECCV Workshops (4) (2022)
Enric Moreu, Kevin McGuinness, Noel E. O'Connor
Synthetic data for unsupervised polyp segmentation. CoRR (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Jaime B. Fernandez, Brian Mac Namee, Deirdre Hennessy, Noel E. O'Connor, Kevin McGuinness
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. CoRR (2022)
Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond
Dexterous Robotic Manipulation using Deep Reinforcement Learning and Knowledge Transfer for Complex Sparse Reward-based Tasks. CoRR (2022)
Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Amy Hall, Mingming Liu
Real-Time Anomaly Detection for an ADMM-Based Optimal Transmission Frequency Management System for IoT Devices. Sensors 22 (16) (2022)
Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations. CoRR (2022)
Susanne Boll, Jeannie S. Lee, Jochen Meyer, Nitish Nag, Noel E. O'Connor
Editorial Special Issue. IEEE Multim. 29 (1) (2022)
Shams Ur Rahman, Noel E. O'Connor, Joe Lemley, Graham Healy
Using Pre-stimulus EEG to Predict Driver Reaction Time To Road Events. EMBC (2022)
Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
Motion Aware Self-Supervision for Generic Event Boundary Detection. CoRR (2022)
Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor
Domain Randomization for Object Counting. CoRR (2022)
Jiang Zhou, Kevin McGuinness, Joseph Antony, Noel E. O'Connor
A Fine Grained Quality Assessment of Video Anomaly Detection. CBMI (2022)
Anderson Augusto Simiscuka, Mohammed Amine Togou, Rohit Verma, Mikel Zorrilla, Noel E. O'Connor, Gabriel-Miro Muntean
An Evaluation of 360° Video and Audio Quality in an Artistic-Oriented Platform. BMSB (2022)
Francisco Roldan Sanchez, Stephen J. Redmond, Kevin McGuinness, Noel E. O'Connor
Towards advanced robotic manipulation. IRC (2022)
Sen Yan, Mingming Liu, Noel E. O'Connor
Parking Behaviour Analysis of Shared E-Bike Users Based on a Real-World Dataset - A Case Study in Dublin, Ireland. VTC Spring (2022)
Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O'Connor, Kevin McGuinness
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection. CoRR (2022)
Paul Albert, Mohamed Saadeldin, Badri Narayanan, Brian Mac Namee, Deirdre Hennessy, Aisling O'Connor, Noel E. O'Connor, Kevin McGuinness
Semi-supervised dry herbage mass estimation using automatic data and synthetic images. CoRR (2021)
Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence. CoRR (2021)
Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel E. O'Connor
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems. CoRR (2021)
Marc Górriz Blanch, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
Evaluating Contrastive Models for Instance-based Image Retrieval. ICMR (2021)
Dhaval Salwala, Piyush Yadav, Venkatesh G. Munirathnam, Suzanne Little, Noel E. O'Connor, Edward Curry
UrbanAccess: Query Driven Urban Analytics Platform for Detecting Complex Accessibility Event Patterns using Tactile Surfaces. UrbanMM @ ACM Multimedia (2021)
Yasser Abdelaziz Dahou Djilali, Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning. ICCV (2021)
Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) (2021)
Marc Górriz Blanch, Issa Khalifeh, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak
Attention-based Stylisation for Exemplar Image Colourisation. CoRR (2021)
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
How Important is Importance Sampling for Deep Budgeted Training? CoRR (2021)
Marc Górriz Blanch, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak
Open-Source: Attention-Based Neural Networks For Chroma Intra Prediction In Video Coding. ICME Workshops (2021)
Julia Dietlmeier, Feiyan Hu, Frances Ryan, Noel E. O'Connor, Kevin McGuinness
Improving Person Re-Identification with Temporal Constraints. CoRR (2021)
Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F. Smeaton, Noel E. O'Connor
Discerning Generic Event Boundaries in Long-Form Wild Videos. CoRR (2021)
Raouf Hamzaoui, Noel E. O'Connor, Maria Trocan
Guest Editorial Special Section on IEEE ICME 2020. IEEE Open J. Circuits Syst. 2 (2021)
Tarun Krishna, Kevin McGuinness, Noel E. O'Connor
Evaluating Contrastive Models for Instance-based Image Retrieval. CoRR (2021)
Marc Górriz, Saverio G. Blasi, Alan F. Smeaton, Noel E. O'Connor, Marta Mrak
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding. CoRR (2021)
Zhengyong Chen, Hongde Wu, Noel E. O'Connor, Mingming Liu
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes. CoRR (2021)
Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor
Simple baselines can fool 360° saliency metrics. ICCVW (2021)
Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm. VTC Spring (2021)
Noel E. O'Connor
From Research to Practice and Back Again: The Role and Benefits of Testbeds for Computer Vision. SIGMAP (2021)
Marc Górriz Blanch, Issa Khalifeh, Noel E. O'Connor, Marta Mrak
Attention-based Stylisation for Exemplar Image Colourisation. MMSP (2021)
Hongde Wu, Noel E. O'Connor, Jennifer Bruton, Mingming Liu
An ADMM-based Optimal Transmission Frequency Management System for IoT Edge Intelligence. WF-IoT (2021)
Szymon Sobczak, Rafal Kapela, Kevin McGuinness, Aleksandra Swietlicka, Dariusz Pazderski, Noel E. O'Connor
Restricted Boltzmann machine as an aggregation technique for binary descriptors. Vis. Comput. 37 (3) (2021)
Beiran Chen, Mingming Liu, Yi Zhang, Zhengyong Chen, Yingqi Gu, Noel E. O'Connor
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm. CoRR (2021)
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
Multi-Objective Interpolation Training for Robustness To Label Noise. CVPR (2021)

Noel E. O'Connor.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Noel E. O'Connor