Exploiting Visual Salience for the Generation of Referring Expressions. - John D. Kelleher; Josef van Genabith (FLAIRS, 2004)

Visual Salience and Reference Resolution in Simulated 3-D Environments. - John D. Kelleher; Josef van Genabith (Artif. Intell. Rev., 2004)

A Context-dependent Algorithm for Generating Locative Expressions in Physically Situated Environments. - John D. Kelleher; Geert-Jan M. Kruijff (ENLG, 2005)

Dynamically structuring, updating and interrelating representations of visual and linguistic discourse context. - John D. Kelleher; Fintan J. Costello; Josef van Genabith (Artif. Intell., 2005)

Incremental Generation of Spatial Referring Expressions in Situated Dialog. - John D. Kelleher; Geert-Jan M. Kruijff (ACL, 2006)

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 (ACL, 2006)

Structural descriptions in human-assisted robot visual learning. - Geert-Jan M. Kruijff; John D. Kelleher; Gregor Berginc; Ales Leonardis (HRI, 2006)

Information Fusion for Visual Reference Resolution in Dynamic Situated Dialogue. - Geert-Jan M. Kruijff; John D. Kelleher; Nick Hawes (PIT, 2006)

Attention driven reference resolution in multimodal contexts. - John D. Kelleher (Artif. Intell. Rev., 2006)

Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. - Michael Brenner 001; Nick Hawes; John D. Kelleher; Jeremy L. Wyatt (IJCAI, 2007)

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 (INLG, 2008)

Just Say It: An Evaluation of Speech Interfaces for Augmented Reality Design Applications. - Nicholas Hanlon; Brian Mac Namee; John D. Kelleher (AICS, 2009)

Applying Computational Models of Spatial Prepositions to Visually Situated Dialog. - John D. Kelleher; Fintan J. Costello (Comput. Linguistics, 2009)

Situating Spatial Templates for Human-Robot Interaction. - John D. Kelleher; Robert J. Ross; Brian Mac Namee; Colm Sloan (AAAI Fall Symposium: Dialog with Robots, 2010)

Visual Salience and Reference Resolution in Situated Dialogues: A Corpus-based Evaluation. - Niels Schuette; John D. Kelleher; Brian Mac Namee (AAAI Fall Symposium: Dialog with Robots, 2010)

Visual salience and the other one. - John D. Kelleher (Salience - Multidisciplinary Perspectives on its Function in Discourse, 2011)

Feasibility study of utility-directed behaviour for computer game agents. - Colm Sloan; John D. Kelleher; Brian Mac Namee (Advances in Computer Entertainment Technology, 2011)

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 (CogSci, 2011)

Feeling the ambiance: using smart ambiance to increase contextual awareness in game agents. - Colm Sloan; John D. Kelleher; Brian Mac Namee (FDG, 2011)

The effect of occlusion on the semantics of projective spatial terms: a case study in grounding language in perception. - John D. Kelleher; Robert J. Ross; Colm Sloan; Brian Mac Namee (Cogn. Process., 2011)

Automatic Annotation of Referring Expressions in Situated Dialogues. - Niels Schütte; John D. Kelleher; Brian Mac Namee (Int. J. Comput. Linguistics Appl., 2011)

Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. - Nick Hawes; Matthew Klenk 001; Kate Lockwood; Graham S. Horn; John D. Kelleher (AAAI, 2012)

An Investigation Into Feature Selection for Oncological Survival Prediction. - Dmitry Strunkin; Brian Mac Namee; John D. Kelleher (ITNG, 2012)

The Turning, Stretching and Boxing Technique: A Step in the Right Direction. - Mark Dunne; Brian Mac Namee; John D. Kelleher (IVA, 2012)

Accuracy and Timeliness in ML Based Activity Recognition. - Robert J. Ross; John D. Kelleher (AAAI Workshop: Plan, Activity, and Intent Recognition, 2013)

Expecting the Unexpected: Measure the Uncertainties for Mobile Robot Path Planning in Dynamic Environment. - Yan Li; Brian Mac Namee; John D. Kelleher (TAROS, 2013)

Exploration of functional semantics of prepositions from corpora of descriptions of visual scenes. - Simon Dobnik; John D. Kelleher (VL@COLING, 2014)

The Effect of Sensor Errors in Situated Human-Computer Dialogue. - Niels Schütte; John D. Kelleher; Brian Mac Namee (VL@COLING, 2014)

An Empirical Study of the Impact of Idioms on Phrase Based Statistical Machine Translation of English to Brazilian-Portuguese. - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (HyTra@EACL, 2014)

Clarification Dialogues for Perception-based Errors in Situated Human-Computer Dialogues. - Niels Schütte; John D. Kelleher; Brian Mac Namee (MMRWHRI@ICMI, 2014)

Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation. - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (MWE@EACL, 2014)

TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach. - Arun Kumar Jayapal; Martin Emms; John D. Kelleher (SemEval@COLING, 2014)

DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity. - Magdalena Kacmajor; John D. Kelleher (SemEval@COLING, 2014)

Idiom Token Classification using Sentential Distributed Semantics. - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (ACL (1), 2016)

An Open Data Driven Epidemiological Agent-Based Model for Irish Towns. - Elizabeth Hunter; Brian Mac Namee; John D. Kelleher (AICS, 2016)

Towards a Deep Learning-based Activity Discovery System. - Eoin Rogers; John D. Kelleher; Robert J. Ross (AICS, 2016)

Using Topic Modelling Algorithms for Hierarchical Activity Discovery. - Eoin Rogers; John D. Kelleher; Robert J. Ross (ISAmI, 2016)

A Corpus of Annotated Irish Traditional Dance Music Recordings: Design and Benchmark Evaluations. - Pierre Beauguitte; Bryan Duggan; John D. Kelleher (ISMIR, 2016)

On Using Tree Visualisation Techniques to Support Source Code Comprehension. - Ivan Bacher; Brian Mac Namee; John D. Kelleher (VISSOFT, 2016)

Using Icicle Trees to Encode the Hierarchical Structure of Source Code. - Ivan Bacher; Brian Mac Namee; John D. Kelleher (EuroVis (Short Papers), 2016)

Assessing the Usefulness of Different Feature Sets for Predicting the Comprehension Difficulty of Text. - Brian Mac Namee; John D. Kelleher; Noel Fitzpatrick (AICS, 2017)

Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis. - Aram Ter-Sarkisov; Robert J. Ross; John D. Kelleher (CRV, 2017)

The Code-Map Metaphor - A Review of Its Use Within Software Visualisations. - Ivan Bacher; Brian Mac Namee; John D. Kelleher (VISIGRAPP (3: IVAPP), 2017)

Attentive Language Models. - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (IJCNLP(1), 2017)

An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity. - Fei Wang; Hector-Hugo Franco-Penya; John D. Kelleher; John Pugh; Robert J. Ross (MLDM, 2017)

Tackling the Interleaving Problem in Activity Discovery. - Eoin Rogers; Robert J. Ross; John D. Kelleher (PAAMS (Special Sessions), 2017)

A framework for post-stroke quality of life prediction using structured prediction. - Andrew Hines; John D. Kelleher (QoMEX, 2017)

Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier. - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (RANLP, 2017)

Scoped: Visualising the Scope Chain Within Source Code. - Ivan Bacher; Brian Mac Namee; John D. Kelleher (EuroVis (Short Papers), 2017)

Robot perception errors and human resolution strategies in situated human-robot dialogue. - Niels Schütte; Brian Mac Namee; John D. Kelleher (Adv. Robotics, 2017)

A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology. - Elizabeth Hunter; Brian Mac Namee; John D. Kelleher (J. Artif. Soc. Soc. Simul., 2017)

A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology. - Elizabeth Hunter; Brian Mac Namee; John D. Kelleher (AICS, 2018)

Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. - Aram Ter-Sarkisov; John D. Kelleher; Bernadette Earley; Michael Keane; Robert J. Ross (BMVC, 2018)

Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning. - Annika Lindh; Robert J. Ross; Abhijit Mahalunkar; Giancarlo D. Salton; John D. Kelleher (ICANN (1), 2018)

Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. - Abhijit Mahalunkar; John D. Kelleher (ICANN (3), 2018)

Exploring Online Novelty Detection Using First Story Detection Models. - Fei Wang; Robert J. Ross; John D. Kelleher (IDEAL (1), 2018)

Evaluating Sequence Discovery Systems in an Abstraction-Aware Manner. - Eoin Rogers; Robert J. Ross; John D. Kelleher (AIAI, 2018)

Is it worth it? Budget-related evaluation metrics for model selection. - Filip Klubicka; Giancarlo D. Salton; John D. Kelleher (LREC, 2018)

Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code. - Ivan Bacher; Brian Mac Namee; John D. Kelleher (VISSOFT, 2018)

The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code. - Ivan Bacher; Brian Mac Namee; John D. Kelleher (VISSOFT, 2018)

What is not where: the challenge of integrating spatial representations into deep learning architectures. - John D. Kelleher; Simon Dobnik (CoRR, 2018)

Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing. - Simon Dobnik; John D. Kelleher (CoRR, 2018)

Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets. - Abhijit Mahalunkar; John D. Kelleher (CoRR, 2018)

Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms. - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (CoRR, 2018)

Generating Diverse and Meaningful Captions. - Annika Lindh; Robert J. Ross; Abhijit Mahalunkar; Giancarlo D. Salton; John D. Kelleher (CoRR, 2018)

Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases. - Elizabeth Hunter; Brian Mac Namee; John D. Kelleher (J. Artif. Soc. Soc. Simul., 2018)

On the Inability of Markov Models to Capture Criticality in Human Mobility. - Vaibhav Kulkarni; Abhijit Mahalunkar; Benoît Garbinato; John D. Kelleher (ICANN (3), 2019)

TEST: A Terminology Extraction System for Technology Related Terms. - Murhaf Hossari; Soumyabrata Dev; John D. Kelleher (ICCAE, 2019)

Language Model Co-occurrence Linking for Interleaved Activity Discovery. - Eoin Rogers; John D. Kelleher; Robert J. Ross (MLN, 2019)

Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection. - Fei Wang; Robert J. Ross; John D. Kelleher (PACLING, 2019)

Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists. - Giancarlo D. Salton; John D. Kelleher (RANLP, 2019)

Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity. - Fei Wang; Robert J. Ross; John D. Kelleher (RANLP, 2019)

Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker. - Anh-Duong Trinh; Robert J. Ross; John D. Kelleher (SIGdial, 2019)

Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance. - Filip Klubicka; Alfredo Maldonado; Abhijit Mahalunkar; John D. Kelleher (GWC, 2019)

Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings. - Alfredo Maldonado; Filip Klubicka; John D. Kelleher (Open Comput. Sci., 2019)

Referring to the recently seen: reference and perceptual memory in situated dialog. - John D. Kelleher; Simon Dobnik (CoRR, 2019)

Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies. - Abhijit Mahalunkar; John D. Kelleher (CoRR, 2019)

Examining the Limits of Predictability of Human Mobility. - Vaibhav Kulkarni; Abhijit Mahalunkar; Benoît Garbinato; John D. Kelleher (Entropy, 2019)

Automatic Acquisition of Annotated Training Corpora for Test-Code Generation. - Magdalena Kacmajor; John D. Kelleher (Inf., 2019)

Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking. - Anh-Duong Trinh; Robert J. Ross; John D. Kelleher (SPNLP@EMNLP, 2020)

Multimodal Fusion Strategies for Outcome Prediction in Stroke. - Esra Zihni; Vince Istvan Madai; Ahmed A. Khalil; Ivana Galinovic; Jochen B. Fiebach; John D. Kelleher; Dietmar Frey; Michelle Livne (HEALTHINF, 2020)

Style versus Content: A distinction without a (learnable) difference? - Somayeh Jafaritazehjani; Gwénolé Lecorvé; Damien Lolive; John D. Kelleher (COLING, 2020)

Language-Driven Region Pointer Advancement for Controllable Image Captioning. - Annika Lindh; Robert J. Ross; John D. Kelleher (COLING, 2020)

Modelling Interleaved Activities Using Language Models. - Eoin Rogers; Robert J. Ross; John D. Kelleher (ECMS, 2020)

F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models. - Anh-Duong Trinh; Robert J. Ross; John D. Kelleher (ICANN (2), 2020)

Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures. - Abhijit Mahalunkar; John D. Kelleher (ICONIP (5), 2020)

English WordNet Random Walk Pseudo-Corpora. - Filip Klubicka; Alfredo Maldonado; Abhijit Mahalunkar; John D. Kelleher (LREC, 2020)

Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue. - Simon Dobnik; John D. Kelleher; Christine Howes (Spatial Cognition, 2020)

Semantic Relatedness and Taxonomic Word Embeddings. - Magdalena Kacmajor; John D. Kelleher; Filip Klubicka; Alfredo Maldonado (CoRR, 2020)

A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases. - Elizabeth Hunter; Brian Mac Namee; John D. Kelleher (J. Artif. Soc. Soc. Simul., 2020)

Capturing and measuring thematic relatedness. - Magdalena Kacmajor; John D. Kelleher (Lang. Resour. Evaluation, 2020)

Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance. - Aphra Kerr; Marguerite Barry; John D. Kelleher (Big Data Soc., 2020)

Poisoning Knowledge Graph Embeddings via Relation Inference Patterns. - Peru Bhardwaj; John D. Kelleher; Luca Costabello; Declan O'Sullivan (ACL/IJCNLP (1), 2021)

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods. - Peru Bhardwaj; John D. Kelleher; Luca Costabello; Declan O'Sullivan (EMNLP (1), 2021)

Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model. - Elizabeth Hunter; Bryony L. McGarry; John D. Kelleher (ESSA, 2021)

Style as Sentiment Versus Style as Formality: The Same or Different? - Somayeh Jafaritazehjani; Gwénolé Lecorvé; Damien Lolive; John D. Kelleher (ICANN (5), 2021)

Finding BERT's Idiomatic Key. - Vasudevan Nedumpozhimana; John D. Kelleher (MWE@ACL-IJCNLP, 2021)

Adapting an Agent-Based Model of Infectious Disease Spread in an Irish County to COVID-19. - Elizabeth Hunter; John D. Kelleher (Syst., 2021)

Analysis of Attention Mechanisms in Box-Embedding Systems. - Jeffrey Sardina; Callie Sardina; John D. Kelleher; Declan O'Sullivan (AICS, 2022)

Domain-Specific Text Generation for Machine Translation. - Yasmin Moslem; Rejwanul Haque; John D. Kelleher; Andy Way (AMTA, 2022)

Probing with Noise: Unpicking the Warp and Weft of Embeddings. - Filip Klubicka; John D. Kelleher (BlackboxNLP@EMNLP, 2022)

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 (DaWaK, 2022)

Validating and Testing an Agent-Based Model for the Spread of COVID-19 in Ireland. - Elizabeth Hunter; John D. Kelleher (Algorithms, 2022)

Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study. - Na Li; John D. Kelleher; Robert J. Ross (CoRR, 2022)

Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (CoRR, 2022)

A review of risk concepts and models for predicting the risk of primary stroke. - Elizabeth Hunter; John D. Kelleher (Frontiers Neuroinformatics, 2022)

Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification. - Vasudevan Nedumpozhimana; Filip Klubicka; John D. Kelleher (Frontiers Artif. Intell., 2022)

Investigating Contextual Influence in Document-Level Translation. - Prashanth Nayak; Rejwanul Haque; John D. Kelleher; Andy Way (Inf., 2022)

The interaction of normalisation and clustering in sub-domain definition for multi-source transfer learning based time series anomaly detection. - Matthew Nicholson; Rahul Agrahari; Clare Conran; Haythem Assem; John D. Kelleher (Knowl. Based Syst., 2022)

Adaptive Machine Translation with Large Language Models. - Yasmin Moslem; Rejwanul Haque; John D. Kelleher; Andy Way (EAMT, 2023)

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 (EAMT, 2023)

Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality. - Somayeh Jafaritazehjani; Gwénolé Lecorvé; Damien Lolive; John D. Kelleher (ICANN (10), 2023)

Action Classification in Human Robot Interaction Cells in Manufacturing: Moving Towards Mutual Performance Monitoring Capacity. - Shakra Mehak; Maria Chiara Leva; John D. Kelleher; Michael Guilfoyle (ICMLT, 2023)

Discovering Phonetic Feature Event Patterns in Transformer Embeddings. - Patrick Cormac English; John D. Kelleher; Julie Carson-Berndsen (INTERSPEECH, 2023)

Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space. - Filip Klubicka; Vasudevan Nedumpozhimana; John D. Kelleher (MWE@EACL, 2023)

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 (RANLP, 2023)

Show, Prefer and Tell: Incorporating User Preferences into Image Captioning. - Annika Lindh; Robert J. Ross; John D. Kelleher (SAC, 2023)

Domain Terminology Integration into Machine Translation: Leveraging Large Language Models. - Yasmin Moslem; Gianfranco Romani; Mahdi Molaei; John D. Kelleher; Rejwanul Haque; Andy Way (WMT, 2023)

Probing Taxonomic and Thematic Embeddings for Taxonomic Information. - Filip Klubicka; John D. Kelleher (GWC, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)

Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (CoRR, 2023)

Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (CoRR, 2023)

Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure. - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (AICS, 2024)

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 (CoDIT, 2024)

TWIG-I: Embedding-Free Link Prediction and Cross-KG Transfer Learning Using a Small Neural Architecture. - Jeffrey Sardina; Alok Debnath; John D. Kelleher; Declan O'Sullivan (SEMANTICS, 2024)

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 (ICASSP, 2024)

CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation. - Aayush Jain; Philip Long; Valeria Villani; John D. Kelleher; Maria Chiara Leva (ICRA, 2024)

BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios. - Bora Caglayan; Mingxue Wang; John D. Kelleher; Shen Fei; Gui Tong; Jiandong Ding; Puchao Zhang (ICSOC (2), 2024)

Searching for Structure: Appraising the Organisation of Speech Features in wav2vec 2.0 Embeddings. - Patrick Cormac English; John D. Kelleher; Julie Carson-Berndsen (INTERSPEECH, 2024)

TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models. - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (ICSC, 2024)

Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke. - Helard Becerra Martinez; Katryna Cisek; Alejandro García-Rudolph; John D. Kelleher; Andrew Hines (xAI (4), 2024)

Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies. - Ammar N. Abbas; Chidera W. Amazu; Joseph Mietkiewicz; Houda Briwa; Andres Alonzo Perez; Gabriele Baldissone; Micaela Demichela; Georgios C. Chasparis; John D. Kelleher; Maria Chiara Leva (CoRR, 2024)

Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic? - Vasudevan Nedumpozhimana; John D. Kelleher (CoRR, 2024)

Estimating Population Burden of Stroke with an Agent-Based Model. - Elizabeth Hunter; John D. Kelleher (CoRR, 2024)

A roadmap for improving data quality through standards for collaborative intelligence in human-robot applications. - Shakra Mehak; Inês F. Ramos; Keerthi Sagar; Aswin K. Ramasubramanian; John D. Kelleher; Michael Guilfoyle; Gabriele Gianini; Ernesto Damiani; Maria Chiara Leva (Frontiers Robotics AI, 2024)

Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance. - Ammar N. Abbas; Georgios C. Chasparis; John D. Kelleher (Data Knowl. Eng., 2024)

A framework for measuring the training efficiency of a neural architecture. - Eduardo Cueto-Mendoza; John D. Kelleher (Artif. Intell. Rev., 2024)

A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings. - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (ICSC, 2025)

Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks. - Devesh Jawla; John D. Kelleher (Frontiers Artif. Intell., 2025)

Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies. - Ammar N. Abbas; Chidera W. Amazu; Joseph Mietkiewicz; Houda Briwa; Andres Alonso-Perez; Gabriele Baldissone; Micaela Demichela; Georgios C. Chasparis; John D. Kelleher; Maria Chiara Leva (Int. J. Hum. Comput. Interact., 2025)

Active Learning and Transfer Learning for Anomaly Detection in Time-Series Data. - John D. Kelleher; Matthew Nicholson; Rahul Agrahari; Clare Conran (CoRR, 2025)