| 2026 | LREC | SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages. | Solmaz Panahi, Vasudevan Nedumpozhimana, John D. Kelleher |
| 2024 | CoDIT | Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. | Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian |
| 2024 | ICASSP | Following the Embedding: Identifying Transition Phenomena in Wav2vec 2.0 Representations of Speech Audio. | Patrick Cormac English, Erfan A. Shams, John D. Kelleher, Julie Carson-Berndsen |
| 2024 | ICRA | CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation. | Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva |
| 2024 | Interspeech | Searching for Structure: Appraising the Organisation of Speech Features in wav2vec 2.0 Embeddings. | Patrick Cormac English, John D. Kelleher, Julie Carson-Berndsen |
| 2024 | ICSOC | BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios. | Bora Caglayan, Mingxue Wang, John D. Kelleher, Shen Fei, Gui Tong, Jiandong Ding, Puchao Zhang |
| 2023 | EAMT | Adaptive Machine Translation with Large Language Models. | Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way |
| 2023 | EAMT | Using MT for multilingual covid-19 case load prediction from social media texts. | Maja Popovic, Vasudevan Nedumpozhimana, Meegan Gower, Sneha Rautmare, Nishtha Jain, John D. Kelleher |
| 2023 | ICANN | Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality. | Somayeh Jafaritazehjani, Gwnol Lecorv, Damien Lolive, John D. Kelleher |
| 2023 | Interspeech | Discovering Phonetic Feature Event Patterns in Transformer Embeddings. | Patrick Cormac English, John D. Kelleher, Julie Carson-Berndsen |
| 2023 | RANLP | Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References. | Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Nishtha Jain, Maja Popovic, Patricia Buffini, John D. Kelleher |
| 2023 | SAC | Show, Prefer and Tell: Incorporating User Preferences into Image Captioning. | Annika Lindh, Robert J. Ross, John D. Kelleher |
| 2022 | AMTA | Domain-Specific Text Generation for Machine Translation. | Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way |
| 2022 | DaWaK | Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. | Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher |
| 2021 | ACL | Poisoning Knowledge Graph Embeddings via Relation Inference Patterns. | Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan |
| 2021 | EMNLP | Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods. | Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan |
| 2021 | ICANN | Style as Sentiment Versus Style as Formality: The Same or Different? | Somayeh Jafaritazehjani, Gwnol Lecorv, Damien Lolive, John D. Kelleher |
| 2020 | COLING | Style versus Content: A distinction without a (learnable) difference? | Somayeh Jafaritazehjani, Gwnol Lecorv, Damien Lolive, John D. Kelleher |
| 2020 | COLING | Language-Driven Region Pointer Advancement for Controllable Image Captioning. | Annika Lindh, Robert J. Ross, John D. Kelleher |
| 2020 | ECMS | Modelling Interleaved Activities Using Language Models. | Eoin Rogers, Robert J. Ross, John D. Kelleher |
| 2020 | ICANN | F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models. | Anh-Duong Trinh, Robert J. Ross, John D. Kelleher |
| 2020 | ICONIP | Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures. | Abhijit Mahalunkar, John D. Kelleher |
| 2020 | LREC | English WordNet Random Walk Pseudo-Corpora. | Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher |
| 2019 | ICANN | On the Inability of Markov Models to Capture Criticality in Human Mobility. | Vaibhav Kulkarni, Abhijit Mahalunkar, Benot Garbinato, John D. Kelleher |
| 2019 | RANLP | Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists. | Giancarlo D. Salton, John D. Kelleher |
| 2019 | RANLP | Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity. | Fei Wang, Robert J. Ross, John D. Kelleher |
| 2019 | SIGdial | Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker. | Anh-Duong Trinh, Robert J. Ross, John D. Kelleher |
| 2018 | BMVC | Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. | Aram Ter-Sarkisov, John D. Kelleher, Bernadette Earley, Michael Keane, Robert J. Ross |
| 2018 | ICANN | Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning. | Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo D. Salton, John D. Kelleher |
| 2018 | ICANN | Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. | Abhijit Mahalunkar, John D. Kelleher |
| 2018 | IDEAL | Exploring Online Novelty Detection Using First Story Detection Models. | Fei Wang, Robert J. Ross, John D. Kelleher |
| 2018 | LREC | Is it worth it? Budget-related evaluation metrics for model selection. | Filip Klubicka, Giancarlo D. Salton, John D. Kelleher |
| 2018 | VISSOFT | Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code. | Ivan Bacher, Brian Mac Namee, John D. Kelleher |
| 2018 | VISSOFT | The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code. | Ivan Bacher, Brian Mac Namee, John D. Kelleher |
| 2017 | IJCNLP | Attentive Language Models. | Giancarlo D. Salton, Robert J. Ross, John D. Kelleher |
| 2017 | PAAMS | Tackling the Interleaving Problem in Activity Discovery. | Eoin Rogers, Robert J. Ross, John D. Kelleher |
| 2017 | QoMEX | A framework for post-stroke quality of life prediction using structured prediction. | Andrew Hines, John D. Kelleher |
| 2017 | RANLP | Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier. | Giancarlo D. Salton, Robert J. Ross, John D. Kelleher |
| 2016 | ACL | Idiom Token Classification using Sentential Distributed Semantics. | Giancarlo D. Salton, Robert J. Ross, John D. Kelleher |
| 2016 | VISSOFT | On Using Tree Visualisation Techniques to Support Source Code Comprehension. | Ivan Bacher, Brian Mac Namee, John D. Kelleher |
| 2014 | ICMI | Clarification Dialogues for Perception-based Errors in Situated Human-Computer Dialogues. | Niels Schtte, John D. Kelleher, Brian Mac Namee |
| 2013 | AAAI | Accuracy and Timeliness in ML Based Activity Recognition. | Robert J. Ross, John D. Kelleher |
| 2012 | AAAI | Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. | Nick Hawes, Matthew Klenk, Kate Lockwood, Graham S. Horn, John D. Kelleher |
| 2012 | IVA | The Turning, Stretching and Boxing Technique: A Step in the Right Direction. | Mark Dunne, Brian Mac Namee, John D. Kelleher |
| 2011 | CogSci | Workshop on Computational Models of Spatial Language Interpretation - CoSLI-2 in conjunction with CogSci 2011. | Joana Hois, Robert J. Ross, John D. Kelleher, John A. Bateman |
| 2011 | FDG | Feeling the ambiance: using smart ambiance to increase contextual awareness in game agents. | Colm Sloan, John D. Kelleher, Brian Mac Namee |
| 2008 | INLG | Referring Expression Generation Challenge 2008 DIT System Descriptions (DIT-FBI, DIT-TVAS, DIT-CBSR, DIT-RBR, DIT-FBI-CBSR, DIT-TVAS-RBR). | John D. Kelleher, Brian Mac Namee |
| 2007 | IJCAI | Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. | Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt |
| 2006 | ACL | Incremental Generation of Spatial Referring Expressions in Situated Dialog. | John D. Kelleher, Geert-Jan M. Kruijff |
| 2006 | ACL | Proximity in Context: An Empirically Grounded Computational Model of Proximity for Processing Topological Spatial Expressions. | John D. Kelleher, Geert-Jan M. Kruijff, Fintan J. Costello |
| 2006 | HRI | Structural descriptions in human-assisted robot visual learning. | Geert-Jan M. Kruijff, John D. Kelleher, Gregor Berginc, Ales Leonardis |
| 2004 | FlAIRS | Exploiting Visual Salience for the Generation of Referring Expressions. | John D. Kelleher, Josef van Genabith |