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)

A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (19th International Conference on Semantic Computing, ICSC 2025, Laguna Hills, CA, USA, February 3-5, 2025, 2025)

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

Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Republic of Ireland, December 9-10, 2024, 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 (10th International Conference on Control, Decision and Information Technologies, CoDIT 2024, Vallette, Malta, July 1-4, 2024, 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 (Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI - Proceedings of the 20th International Conference on Semantic Systems, 17-19 September 2024, Amsterdam, The Netherlands, 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 (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 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 (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 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 (Service-Oriented Computing - 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3-6, 2024, Proceedings, Part II, 2024)

Searching for Structure: Appraising the Organisation of Speech Features in wav2vec 2.0 Embeddings - Patrick Cormac English; John D. Kelleher; Julie Carson-Berndsen (25th Annual Conference of the International Speech Communication Association, Interspeech 2024, Kos, Greece, September 1-5, 2024, 2024)

TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (18th IEEE International Conference on Semantic Computing, ICSC 2024, Laguna Hills, CA, USA, February 5-7, 2024, 2024)

Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke - Helard Becerra Martinez; Katryna Cisek; Alejandro García-Rudolph; John D. Kelleher; Andrew Hines (Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part IV, 2024)

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

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

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

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

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

A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings - Jeffrey Sardina; John D. Kelleher; Declan O'Sullivan (CoRR, 2024)

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

Adaptive Machine Translation with Large Language Models - Yasmin Moslem; Rejwanul Haque; John D. Kelleher; Andy Way (Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023, Tampere, Finland, 12-15 June 2023, 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 (Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023, Tampere, Finland, 12-15 June 2023, 2023)

Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality - Somayeh Jafaritazehjani; Gwénolé Lecorvé; Damien Lolive; John D. Kelleher (Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part X, 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 (Proceedings of the 8th International Conference on Machine Learning Technologies, ICMLT 2023, Stockholm, Sweden, March 10-12, 2023, 2023)

Discovering Phonetic Feature Event Patterns in Transformer Embeddings - Patrick Cormac English; John D. Kelleher; Julie Carson-Berndsen (24th Annual Conference of the International Speech Communication Association, Interspeech 2023, Dublin, Ireland, August 20-24, 2023, 2023)

Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space - Filip Klubicka; Vasudevan Nedumpozhimana; John D. Kelleher (Proceedings of the 19th Workshop on Multiword Expressions, MWE@EACL 2023, Dubrovnik, Croatia, May 6, 2023, 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 (Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023, Varna, Bulgaria, 4-6 September 2023, 2023)

Show, Prefer and Tell: Incorporating User Preferences into Image Captioning - Annika Lindh; Robert J. Ross; John D. Kelleher (Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023, 2023)

Domain Terminology Integration into Machine Translation: Leveraging Large Language Models - Yasmin Moslem; Gianfranco Romani; Mahdi Molaei; John D. Kelleher; Rejwanul Haque; Andy Way (Proceedings of the Eighth Conference on Machine Translation, WMT 2023, Singapore, December 6-7, 2023, 2023)

Probing Taxonomic and Thematic Embeddings for Taxonomic Information - Filip Klubicka; John D. Kelleher (Proceedings of the 12th Global Wordnet Conference, GWC 2023, University of the Basque Country, Donostia - San Sebastian, Basque Country, Spain, 23 - 27 January 2023, 2023)

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

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

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

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

Analysis of Attention Mechanisms in Box-Embedding Systems - Jeffrey Sardina; Callie Sardina; John D. Kelleher; Declan O'Sullivan (Artificial Intelligence and Cognitive Science - 30th Irish Conference, AICS 2022, Munster, Ireland, December 8-9, 2022, Revised Selected Papers, 2022)

Domain-Specific Text Generation for Machine Translation - Yasmin Moslem; Rejwanul Haque; John D. Kelleher; Andy Way (Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), AMTA 2022, Orlando, USA, September 12-16, 2022, 2022)

Probing with Noise: Unpicking the Warp and Weft of Embeddings - Filip Klubicka; John D. Kelleher (Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022, 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 (Big Data Analytics and Knowledge Discovery - 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings, 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)

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

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

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

Poisoning Knowledge Graph Embeddings via Relation Inference Patterns - Peru Bhardwaj; John D. Kelleher; Luca Costabello; Declan O'Sullivan (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021 (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 2021)

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods - Peru Bhardwaj; John D. Kelleher; Luca Costabello; Declan O'Sullivan (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, 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 (Advances in Social Simulation - Proceedings of the 16th Social Simulation Conference, SSC 2021, European Social Simulation Association (ESSA), Cracow, Poland, 20-24 September 2021, 2021)

Style as Sentiment Versus Style as Formality: The Same or Different? - Somayeh Jafaritazehjani; Gwénolé Lecorvé; Damien Lolive; John D. Kelleher (Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V, 2021)

Finding BERT's Idiomatic Key - Vasudevan Nedumpozhimana; John D. Kelleher (Proceedings of the 17th Workshop on Multiword Expressions, MWE@ACL-IJCNLP 2021, Online, August 6, 2021, 2021)

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

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

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

Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking - Anh-Duong Trinh; Robert J. Ross; John D. Kelleher (Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020, 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 (Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF, Valletta, Malta, February 24-26, 2020, 2020)

Language-Driven Region Pointer Advancement for Controllable Image Captioning - Annika Lindh; Robert J. Ross; John D. Kelleher (Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, 2020)

Style versus Content: A distinction without a (learnable) difference? - Somayeh Jafaritazehjani; Gwénolé Lecorvé; Damien Lolive; John D. Kelleher (Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, 2020)

Modelling Interleaved Activities Using Language Models - Eoin Rogers; Robert J. Ross; John D. Kelleher (Proceedings of the 34th International ECMS Conference on Modelling and Simulation, ECMS 2020, Wildau, Germany, June 9-12, 2020, 2020)

F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models - Anh-Duong Trinh; Robert J. Ross; John D. Kelleher (Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II, 2020)

Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures - Abhijit Mahalunkar; John D. Kelleher (Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V, 2020)

English WordNet Random Walk Pseudo-Corpora - Filip Klubicka; Alfredo Maldonado; Abhijit Mahalunkar; John D. Kelleher (Proceedings of The 12th Language Resources and Evaluation Conference, LREC 2020, Marseille, France, May 11-16, 2020, 2020)

Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue - Simon Dobnik; John D. Kelleher; Christine Howes (Spatial Cognition XII - 12th International Conference, Spatial Cognition 2020, Riga, Latvia, August 26-28, 2020, Proceedings, 2020)

Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dublin, Ireland, December 15-18, 2020 - Brian Davis; Yvette Graham; John D. Kelleher; Yaji Sripada (Association for Computational Linguistics, 2020)

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

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

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

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

On the Inability of Markov Models to Capture Criticality in Human Mobility - Vaibhav Kulkarni; Abhijit Mahalunkar; Benoît Garbinato; John D. Kelleher (Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part III, 2019)

TEST: A Terminology Extraction System for Technology Related Terms - Murhaf Hossari; Soumyabrata Dev; John D. Kelleher (Proceedings of the 2019 11th International Conference on Computer and Automation Engineering, ICCAE 2019, Perth, WN, Australia, February 23-25, 2019, 2019)

Language Model Co-occurrence Linking for Interleaved Activity Discovery - Eoin Rogers; John D. Kelleher; Robert J. Ross (Machine Learning for Networking - Second IFIP TC 6 International Conference, MLN 2019, Paris, France, December 3-5, 2019, Revised Selected Papers, 2019)

Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection - Fei Wang; Robert J. Ross; John D. Kelleher (Computational Linguistics - 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11-13, 2019, Revised Selected Papers, 2019)

Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists - Giancarlo D. Salton; John D. Kelleher (Proceedings of the International Conference on Recent Advances in Natural Language Processing, RANLP 2019, Varna, Bulgaria, September 2-4, 2019, 2019)

Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity - Fei Wang; Robert J. Ross; John D. Kelleher (Proceedings of the International Conference on Recent Advances in Natural Language Processing, RANLP 2019, Varna, Bulgaria, September 2-4, 2019, 2019)

Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker - Anh-Duong Trinh; Robert J. Ross; John D. Kelleher (Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, SIGdial 2019, Stockholm, Sweden, September 11-13, 2019, 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 (Proceedings of the 10th Global Wordnet Conference, GWC 2019, Wroclaw, Poland, July 23-27, 2019, 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)

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)

A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology - Elizabeth Hunter; Brian Mac Namee; John D. Kelleher (Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, Dublin, Ireland, December 6-7th, 2018, 2018)

Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network - Aram Ter-Sarkisov; John D. Kelleher; Bernadette Earley; Michael Keane; Robert J. Ross (British Machine Vision Conference 2018, BMVC 2018, Newcastle, UK, September 3-6, 2018, 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 (Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I, 2018)

Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures - Abhijit Mahalunkar; John D. Kelleher (Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III, 2018)

Exploring Online Novelty Detection Using First Story Detection Models - Fei Wang; Robert J. Ross; John D. Kelleher (Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I, 2018)

Evaluating Sequence Discovery Systems in an Abstraction-Aware Manner - Eoin Rogers; Robert J. Ross; John D. Kelleher (Artificial Intelligence Applications and Innovations - 14th IFIP WG 12.5 International Conference, AIAI 2018, Rhodes, Greece, May 25-27, 2018, Proceedings, 2018)

Is it worth it? Budget-related evaluation metrics for model selection - Filip Klubicka; Giancarlo D. Salton; John D. Kelleher (Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018, 2018)

Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code - Ivan Bacher; Brian Mac Namee; John D. Kelleher (2018 IEEE Working Conference on Software Visualization, VISSOFT 2018, Madrid, Spain, September 24-25, 2018, 2018)

The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code - Ivan Bacher; Brian Mac Namee; John D. Kelleher (2018 IEEE Working Conference on Software Visualization, VISSOFT 2018, Madrid, Spain, September 24-25, 2018, 2018)

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

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

On the Inability of Markov Models to Capture Criticality in Human Mobility - Vaibhav Kulkarni; Abhijit Mahalunkar; Benoît Garbinato; John D. Kelleher (CoRR, 2018)

Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures - Abhijit Mahalunkar; 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)

Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists - Giancarlo D. Salton; 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)

TEST: A Terminology Extraction System for Technology Related Terms - Murhaf Hossari; Soumyabrata Dev; John D. Kelleher (CoRR, 2018)

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)

Assessing the Usefulness of Different Feature Sets for Predicting the Comprehension Difficulty of Text - Brian Mac Namee; John D. Kelleher; Noel Fitzpatrick (Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7 - 8, 2017, 2017)

Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis - Aram Ter-Sarkisov; Robert J. Ross; John D. Kelleher (14th Conference on Computer and Robot Vision, CRV 2017, Edmonton, AB, Canada, May 16-19, 2017, 2017)

The Code-Map Metaphor - A Review of Its Use Within Software Visualisations - Ivan Bacher; Brian Mac Namee; John D. Kelleher (Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Porto, Portugal, February 27 - March 1, 2017, 2017)

Attentive Language Models - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (Proceedings of the Eighth International Joint Conference on Natural Language Processing, IJCNLP 2017, Taipei, Taiwan, November 27 - December 1, 2017 - Volume 1: Long Papers, 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 (Machine Learning and Data Mining in Pattern Recognition - 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings, 2017)

Tackling the Interleaving Problem in Activity Discovery - Eoin Rogers; Robert J. Ross; John D. Kelleher (Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Special Sessions, 2017)

A framework for post-stroke quality of life prediction using structured prediction - Andrew Hines; John D. Kelleher (Ninth International Conference on Quality of Multimedia Experience, QoMEX 2017, Erfurt, Germany, May 31 - June 2, 2017, 2017)

Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria, September 2 - 8, 2017, 2017)

Scoped: Visualising the Scope Chain Within Source Code - Ivan Bacher; Brian Mac Namee; John D. Kelleher (19th Eurographics Conference on Visualization, EuroVis 2017 - Short Papers, Barcelona, Spain, June 12-16, 2017, 2017)

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

Idiom Token Classification using Sentential Distributed Semantics - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers, 2016)

An Open Data Driven Epidemiological Agent-Based Model for Irish Towns - Elizabeth Hunter; Brian Mac Namee; John D. Kelleher (Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2016, Dublin, Ireland, September 20-21, 2016, 2016)

Towards a Deep Learning-based Activity Discovery System - Eoin Rogers; John D. Kelleher; Robert J. Ross (Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2016, Dublin, Ireland, September 20-21, 2016, 2016)

Using Topic Modelling Algorithms for Hierarchical Activity Discovery - Eoin Rogers; John D. Kelleher; Robert J. Ross (Ambient Intelligence - Software and Applications - 7th International Symposium on Ambient Intelligence, ISAmI 2016, Seville, Spain, June 1-3, 2016, 2016)

A Corpus of Annotated Irish Traditional Dance Music Recordings: Design and Benchmark Evaluations - Pierre Beauguitte; Bryan Duggan; John D. Kelleher (Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, New York City, United States, August 7-11, 2016, 2016)

On Using Tree Visualisation Techniques to Support Source Code Comprehension - Ivan Bacher; Brian Mac Namee; John D. Kelleher (2016 IEEE Working Conference on Software Visualization, VISSOFT 2016, Raleigh, NC, USA, October 3-4, 2016, 2016)

Using Icicle Trees to Encode the Hierarchical Structure of Source Code - Ivan Bacher; Brian Mac Namee; John D. Kelleher (18th Eurographics Conference on Visualization, EuroVis 2016 - Short Papers, Groningen, The Netherlands, June 6-10, 2016, 2016)

The Effect of Sensor Errors in Situated Human-Computer Dialogue - Niels Schütte; John D. Kelleher; Brian Mac Namee (Proceedings of the Third Workshop on Vision and Language, VL@COLING 2014, Dublin, Ireland, August 23, 2014, 2014)

Exploration of functional semantics of prepositions from corpora of descriptions of visual scenes - Simon Dobnik; John D. Kelleher (Proceedings of the Third Workshop on Vision and Language, VL@COLING 2014, Dublin, Ireland, August 23, 2014, 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 (Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation, HyTra@EACL 2014, April 27, 2014, Gothenburg, Sweden, 2014)

Clarification Dialogues for Perception-based Errors in Situated Human-Computer Dialogues - Niels Schütte; John D. Kelleher; Brian Mac Namee (Proceedings of the 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction, Istanbul, Turkey, MMRWHRI@ICMI 2014, November 16, 2014, 2014)

Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation - Giancarlo D. Salton; Robert J. Ross; John D. Kelleher (Proceedings of the 10th Workshop on Multiword Expressions, MWE@EACL 2014, 26-27 April 2014, Gothenburg, Sweden, 2014)

DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity - Magdalena Kacmajor; John D. Kelleher (Proceedings of the 8th International Workshop on Semantic Evaluation, SemEval@COLING 2014, Dublin, Ireland, August 23-24, 2014, 2014)

TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach - Arun Kumar Jayapal; Martin Emms; John D. Kelleher (Proceedings of the 8th International Workshop on Semantic Evaluation, SemEval@COLING 2014, Dublin, Ireland, August 23-24, 2014, 2014)

Accuracy and Timeliness in ML Based Activity Recognition - Robert J. Ross; John D. Kelleher (Plan, Activity, and Intent Recognition, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 15, 2013, 2013)

Expecting the Unexpected: Measure the Uncertainties for Mobile Robot Path Planning in Dynamic Environment - Yan Li; Brian Mac Namee; John D. Kelleher (Towards Autonomous Robotic Systems - 14th Annual Conference, TAROS 2013, Oxford, UK, August 28-30, 2013, Revised Selected Papers, 2013)

Towards a Cognitive System that Can Recognize Spatial Regions Based on Context - Nick Hawes; Matthew Klenk; Kate Lockwood; Graham S. Horn; John D. Kelleher (Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada, 2012)

An Investigation Into Feature Selection for Oncological Survival Prediction - Dmitry Strunkin; Brian Mac Namee; John D. Kelleher (Ninth International Conference on Information Technology: New Generations, ITNG 2012, Las Vegas, Nevada, USA, 16-18 April, 2012, 2012)

The Turning, Stretching and Boxing Technique: A Step in the Right Direction - Mark Dunne; Brian Mac Namee; John D. Kelleher (Intelligent Virtual Agents - 12th International Conference, IVA 2012, Santa Cruz, CA, USA, September, 12-14, 2012. Proceedings, 2012)

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)

Feasibility study of utility-directed behaviour for computer game agents - Colm Sloan; John D. Kelleher; Brian Mac Namee (Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology, ACE 2011, Lisbon, Portugal, November 8-11, 2011, 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 (Proceedings of the 33th Annual Meeting of the Cognitive Science Society, CogSci 2011, Boston, Massachusetts, USA, July 20-23, 2011, 2011)

Feeling the ambiance: using smart ambiance to increase contextual awareness in game agents - Colm Sloan; John D. Kelleher; Brian Mac Namee (Foundations of Digital Games, FDG'11, Bordeaux, France, June 28 - July 1, 2011, 2011)

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

Situating Spatial Templates for Human-Robot Interaction - John D. Kelleher; Robert J. Ross; Brian Mac Namee; Colm Sloan (Dialog with Robots, Papers from the 2010 AAAI Fall Symposium, Arlington, Virginia, USA, November 11-13, 2010, 2010)

Visual Salience and Reference Resolution in Situated Dialogues: A Corpus-based Evaluation - Niels Schuette; John D. Kelleher; Brian Mac Namee (Dialog with Robots, Papers from the 2010 AAAI Fall Symposium, Arlington, Virginia, USA, November 11-13, 2010, 2010)

INLG 2010 - Proceedings of the Sixth International Natural Language Generation Conference, July 7-9, 2010, Trim, Co. Meath, Ireland - John D. Kelleher; Brian Mac Namee; Ielka van der Sluis; Anja Belz; Albert Gatt; Alexander Koller (The Association for Computer Linguistics, 2010)

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

Just Say It: An Evaluation of Speech Interfaces for Augmented Reality Design Applications - Nicholas Hanlon; Brian Mac Namee; John D. Kelleher (Artificial Intelligence and Cognitive Science - 20th Irish Conference, AICS 2009, Dublin, Ireland, August 19-21, 2009, Revised Selected Papers, 2009)

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 - Proceedings of the Fifth International Natural Language Generation Conference, June 12-14, 2008, Salt Fork, Ohio, USA, 2008)

Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction - Michael Brenner; Nick Hawes; John D. Kelleher; Jeremy L. Wyatt (IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India, January 6-12, 2007, 2007)

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

Incremental Generation of Spatial Referring Expressions in Situated Dialog - John D. Kelleher; Geert-Jan M. Kruijff (ACL 2006, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, Sydney, Australia, 17-21 July 2006, 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, 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, Sydney, Australia, 17-21 July 2006, 2006)

Structural descriptions in human-assisted robot visual learning - Geert-Jan M. Kruijff; John D. Kelleher; Gregor Berginc; Ales Leonardis (Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, HRI 2006, Salt Lake City, Utah, USA, March 2-3, 2006, 2006)

Information Fusion for Visual Reference Resolution in Dynamic Situated Dialogue - Geert-Jan M. Kruijff; John D. Kelleher; Nick Hawes (Perception and Interactive Technologies, International Tutorial and Research Workshop, PIT 2006, Kloster Irsee, Germany, June 19-21, 2006, Proceedings, 2006)

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

A Context-dependent Algorithm for Generating Locative Expressions in Physically Situated Environments - John D. Kelleher; Geert-Jan M. Kruijff (Proceedings of the Tenth European Workshop on Natural Language Generation, ENLG 2005, Aberdeen, UK, August 8-10, 2005, 2005)

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

Exploiting Visual Salience for the Generation of Referring Expressions - John D. Kelleher; Josef van Genabith (Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, Miami Beach, Florida, USA, 2004)