John D. Kelleher

173 papers A* 6A 3B 15C 7Misc 10Journal 73Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Model Routing and Cascading for Efficient LLM Inference: A Survey. CoRR Yasmin Moslem, John D. Kelleher
2025	—	`conf`	A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings. ICSC Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
2025	J	`jnl`	Active Learning and Transfer Learning for Anomaly Detection in Time-Series Data. CoRR John D. Kelleher, Matthew Nicholson, Rahul Agrahari, Clare Conran
2025	J	`jnl`	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. Int. J. Hum. Comput. Interact. 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
2025	J	`jnl`	Dynamic Features Adaptation in Networking: Toward Flexible training and Explainable inference. CoRR Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo, Merim Dzaferagic, John D. Kelleher
2025	J	`jnl`	Iterative Layer Pruning for Efficient Translation Inference. CoRR Yasmin Moslem, Muhammad Hazim Al Farouq, John D. Kelleher
2025	J	`jnl`	Know Yourself and Know Your Neighbour : A Syntactically Informed Self-Supervised Compositional Sentence Representation Learning Framework using a Recursive Hypernetwork. Trans. Mach. Learn. Res. Vasudevan Nedumpozhimana, John D. Kelleher
2025	J	`jnl`	Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks. Frontiers Artif. Intell. Devesh Jawla, John D. Kelleher
2025	J	`jnl`	Pre-Hoc Predictions in AutoML: Leveraging LLMs to Enhance Model Selection and Benchmarking for Tabular datasets. CoRR Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo, Sachin Sharma, John D. Kelleher
2025	J	`jnl`	Step-Tagging: Toward controlling the generation of Language Reasoning Models through step monitoring. CoRR Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo, John D. Kelleher
2025	J	`jnl`	Structural Alignment of Knowledge Graphs and Link Prediction: A Survey of the Literature. Int. J. Semantic Comput. Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
2024	J	`jnl`	A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings. CoRR Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
2024	J	`jnl`	A framework for measuring the training efficiency of a neural architecture. Artif. Intell. Rev. Eduardo Cueto-Mendoza, John D. Kelleher
2024	J	`jnl`	A framework for measuring the training efficiency of a neural architecture. CoRR Eduardo Cueto-Mendoza, John D. Kelleher
2024	J	`jnl`	A roadmap for improving data quality through standards for collaborative intelligence in human-robot applications. Frontiers Robotics AI Shakra Mehak, Inês F. Ramos, Keerthi Sagar, Aswin K. Ramasubramanian, John D. Kelleher, Michael Guilfoyle, Gabriele Gianini, Ernesto Damiani, Maria Chiara Leva
2024	J	`jnl`	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. CoRR 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
2024	—	`conf`	BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios. ICSOC (2) Bora Caglayan, MingXue Wang, John D. Kelleher, Shen Fei, Gui Tong, Jiandong Ding, Puchao Zhang
2024	J	`jnl`	BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios. CoRR Bora Caglayan, Ming Xue Wang, John D. Kelleher, Shen Fei, Gui Tong, Jiandong Ding, Puchao Zhang
2024	A*	`conf`	CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation. ICRA Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva
2024	J	`jnl`	CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation. CoRR Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva
2024	J	`jnl`	Estimating Population Burden of Stroke with an Agent-Based Model. CoRR Elizabeth Hunter, John D. Kelleher
2024	—	`conf`	Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure. AICS Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
2024	J	`jnl`	Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure. CoRR Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
2024	Misc	`conf`	Following the Embedding: Identifying Transition Phenomena in Wav2vec 2.0 Representations of Speech Audio. ICASSP Patrick Cormac English, Erfan A. Shams, John D. Kelleher, Julie Carson-Berndsen
2024	J	`jnl`	Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance. Data Knowl. Eng. Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
2024	C	`conf`	Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. CoDIT Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian
2024	J	`jnl`	Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. CoRR Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian
2024	A	`conf`	Searching for Structure: Appraising the Organisation of Speech Features in wav2vec 2.0 Embeddings. INTERSPEECH Patrick Cormac English, John D. Kelleher, Julie Carson-Berndsen
2024	Misc	`conf`	TWIG-I: Embedding-Free Link Prediction and Cross-KG Transfer Learning Using a Small Neural Architecture. SEMANTICS Jeffrey Sardina, Alok Debnath, John D. Kelleher, Declan O'Sullivan
2024	—	`conf`	TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models. ICSC Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
2024	J	`jnl`	TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models. CoRR Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
2024	J	`jnl`	Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic? CoRR Vasudevan Nedumpozhimana, John D. Kelleher
2024	—	`conf`	Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke. xAI (4) Helard Becerra Martinez, Katryna Cisek, Alejandro García-Rudolph, John D. Kelleher, Andrew Hines
2023	—	`conf`	Action Classification in Human Robot Interaction Cells in Manufacturing: Moving Towards Mutual Performance Monitoring Capacity. ICMLT Shakra Mehak, Maria Chiara Leva, John D. Kelleher, Michael Guilfoyle
2023	C	`conf`	Adaptive Machine Translation with Large Language Models. EAMT Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way
2023	A	`conf`	Discovering Phonetic Feature Event Patterns in Transformer Embeddings. INTERSPEECH Patrick Cormac English, John D. Kelleher, Julie Carson-Berndsen
2023	—	`conf`	Domain Terminology Integration into Machine Translation: Leveraging Large Language Models. WMT Yasmin Moslem, Gianfranco Romani, Mahdi Molaei, John D. Kelleher, Rejwanul Haque, Andy Way
2023	J	`jnl`	Domain Terminology Integration into Machine Translation: Leveraging Large Language Models. CoRR Yasmin Moslem, Gianfranco Romani, Mahdi Molaei, Rejwanul Haque, John D. Kelleher, Andy Way
2023	J	`jnl`	Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning. CoRR Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
2023	—	`conf`	Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space. MWE@EACL Filip Klubicka, Vasudevan Nedumpozhimana, John D. Kelleher
2023	J	`jnl`	Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space. CoRR Filip Klubicka, Vasudevan Nedumpozhimana, John D. Kelleher
2023	—	`conf`	Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality. ICANN (10) Somayeh Jafaritazehjani, Gwénolé Lecorvé, Damien Lolive, John D. Kelleher
2023	Misc	`conf`	Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References. RANLP Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Nishtha Jain, Maja Popovic, Patricia Buffini, John D. Kelleher
2023	J	`jnl`	Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR 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, Steffen Eger, Qixiang Fang, Albert Gatt, Dimitra Gkatzia, Javier González-Corbelle, Dirk Hovy, Manuela Hürlimann, Takumi Ito, John D. Kelleher, Filip Klubicka, Huiyuan Lai, Chris van der Lee, Emiel van Miltenburg, Yiru Li, Saad Mahamood, Margot Mieskes, Malvina Nissim, Natalie Parde, Ondrej Plátek, Verena Rieser, Pablo Mosteiro Romero, Joel R. Tetreault, Antonio Toral, Xiaojun Wan, Leo Wanner, Lewis Watson, Diyi Yang
2023	C	`conf`	Probing Taxonomic and Thematic Embeddings for Taxonomic Information. GWC Filip Klubicka, John D. Kelleher
2023	J	`jnl`	Probing Taxonomic and Thematic Embeddings for Taxonomic Information. CoRR Filip Klubicka, John D. Kelleher
2023	Misc	`conf`	Show, Prefer and Tell: Incorporating User Preferences into Image Captioning. SAC Annika Lindh, Robert J. Ross, John D. Kelleher
2023	J	`jnl`	Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces. CoRR Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
2023	C	`conf`	Using MT for multilingual covid-19 case load prediction from social media texts. EAMT Maja Popovic, Vasudevan Nedumpozhimana, Meegan Gower, Sneha Rautmare, Nishtha Jain, John D. Kelleher
2022	J	`jnl`	A review of risk concepts and models for predicting the risk of primary stroke. Frontiers Neuroinformatics Elizabeth Hunter, John D. Kelleher
2022	—	`conf`	Analysis of Attention Mechanisms in Box-Embedding Systems. AICS Jeffrey Sardina, Callie Sardina, John D. Kelleher, Declan O'Sullivan
2022	J	`jnl`	Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study. CoRR Na Li, John D. Kelleher, Robert J. Ross
2022	Misc	`conf`	Domain-Specific Text Generation for Machine Translation. AMTA Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way
2022	J	`jnl`	Domain-Specific Text Generation for Machine Translation. CoRR Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way
2022	J	`jnl`	Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines. CoRR Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
2022	B	`conf`	Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. DaWaK Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
2022	J	`jnl`	Investigating Contextual Influence in Document-Level Translation. Inf. Prashanth Nayak, Rejwanul Haque, John D. Kelleher, Andy Way
2022	—	`conf`	Probing with Noise: Unpicking the Warp and Weft of Embeddings. BlackboxNLP@EMNLP Filip Klubicka, John D. Kelleher
2022	J	`jnl`	Probing with Noise: Unpicking the Warp and Weft of Embeddings. CoRR Filip Klubicka, John D. Kelleher
2022	J	`jnl`	Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification. Frontiers Artif. Intell. Vasudevan Nedumpozhimana, Filip Klubicka, John D. Kelleher
2022	J	`jnl`	The interaction of normalisation and clustering in sub-domain definition for multi-source transfer learning based time series anomaly detection. Knowl. Based Syst. Matthew Nicholson, Rahul Agrahari, Clare Conran, Haythem Assem, John D. Kelleher
2022	J	`jnl`	Validating and Testing an Agent-Based Model for the Spread of COVID-19 in Ireland. Algorithms Elizabeth Hunter, John D. Kelleher
2021	J	`jnl`	Adapting an Agent-Based Model of Infectious Disease Spread in an Irish County to COVID-19. Syst. Elizabeth Hunter, John D. Kelleher
2021	—	`conf`	Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods. EMNLP (1) Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan
2021	J	`jnl`	Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods. CoRR Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan
2021	—	`conf`	Finding BERT's Idiomatic Key. MWE@ACL-IJCNLP Vasudevan Nedumpozhimana, John D. Kelleher
2021	—	`conf`	Poisoning Knowledge Graph Embeddings via Relation Inference Patterns. ACL/IJCNLP (1) Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan
2021	J	`jnl`	Poisoning Knowledge Graph Embeddings via Relation Inference Patterns. CoRR Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan
2021	—	`conf`	Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model. ESSA Elizabeth Hunter, Bryony L. McGarry, John D. Kelleher
2021	—	`conf`	Style as Sentiment Versus Style as Formality: The Same or Different? ICANN (5) Somayeh Jafaritazehjani, Gwénolé Lecorvé, Damien Lolive, John D. Kelleher
2020	J	`jnl`	A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases. J. Artif. Soc. Soc. Simul. Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2020	J	`jnl`	Capturing and measuring thematic relatedness. Lang. Resour. Evaluation Magdalena Kacmajor, John D. Kelleher
2020	—	`conf`	Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking. SPNLP@EMNLP Anh-Duong Trinh, Robert J. Ross, John D. Kelleher
2020	B	`conf`	English WordNet Random Walk Pseudo-Corpora. LREC Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher
2020	J	`jnl`	Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance. Big Data Soc. Aphra Kerr, Marguerite Barry, John D. Kelleher
2020	—	`conf`	F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models. ICANN (2) Anh-Duong Trinh, Robert J. Ross, John D. Kelleher
2020	B	`conf`	Language-Driven Region Pointer Advancement for Controllable Image Captioning. COLING Annika Lindh, Robert J. Ross, John D. Kelleher
2020	J	`jnl`	Language-Driven Region Pointer Advancement for Controllable Image Captioning. CoRR Annika Lindh, Robert J. Ross, John D. Kelleher
2020	—	`conf`	Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue. Spatial Cognition Simon Dobnik, John D. Kelleher, Christine Howes
2020	C	`conf`	Modelling Interleaved Activities Using Language Models. ECMS Eoin Rogers, Robert J. Ross, John D. Kelleher
2020	—	`conf`	Multimodal Fusion Strategies for Outcome Prediction in Stroke. HEALTHINF Esra Zihni, Vince Istvan Madai, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, John D. Kelleher, Dietmar Frey, Michelle Livne
2020	J	`jnl`	Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures. CoRR Abhijit Mahalunkar, John D. Kelleher
2020	—	`conf`	Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures. ICONIP (5) Abhijit Mahalunkar, John D. Kelleher
2020	B	`ed.`	Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dublin, Ireland, December 15-18, 2020 INLG Brian Davis, Yvette Graham, John D. Kelleher, Yaji Sripada
2020	J	`jnl`	Semantic Relatedness and Taxonomic Word Embeddings. CoRR Magdalena Kacmajor, John D. Kelleher, Filip Klubicka, Alfredo Maldonado
2020	B	`conf`	Style versus Content: A distinction without a (learnable) difference? COLING Somayeh Jafaritazehjani, Gwénolé Lecorvé, Damien Lolive, John D. Kelleher
2019	J	`jnl`	Automatic Acquisition of Annotated Training Corpora for Test-Code Generation. Inf. Magdalena Kacmajor, John D. Kelleher
2019	Misc	`conf`	Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity. RANLP Fei Wang, Robert J. Ross, John D. Kelleher
2019	B	`conf`	Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker. SIGdial Anh-Duong Trinh, Robert J. Ross, John D. Kelleher
2019	J	`jnl`	Examining the Limits of Predictability of Human Mobility. Entropy Vaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher
2019	—	`conf`	Language Model Co-occurrence Linking for Interleaved Activity Discovery. MLN Eoin Rogers, John D. Kelleher, Robert J. Ross
2019	J	`jnl`	Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies. CoRR Abhijit Mahalunkar, John D. Kelleher
2019	—	`conf`	On the Inability of Markov Models to Capture Criticality in Human Mobility. ICANN (3) Vaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher
2019	Misc	`conf`	Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists. RANLP Giancarlo D. Salton, John D. Kelleher
2019	J	`jnl`	Referring to the recently seen: reference and perceptual memory in situated dialog. CoRR John D. Kelleher, Simon Dobnik
2019	J	`jnl`	Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings. Open Comput. Sci. Alfredo Maldonado, Filip Klubicka, John D. Kelleher
2019	C	`conf`	Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance. GWC Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher
2019	—	`conf`	TEST: A Terminology Extraction System for Technology Related Terms. ICCAE Murhaf Hossari, Soumyabrata Dev, John D. Kelleher
2019	—	`conf`	Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection. PACLING Fei Wang, Robert J. Ross, John D. Kelleher
2018	—	`conf`	A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology. AICS Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2018	A	`conf`	Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. BMVC Aram Ter-Sarkisov, John D. Kelleher, Bernadette Earley, Michael Keane, Robert J. Ross
2018	J	`jnl`	Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. CoRR Aram Ter-Sarkisov, Robert J. Ross, John D. Kelleher, Bernadette Earley, Michael Keane
2018	Misc	`conf`	Evaluating Sequence Discovery Systems in an Abstraction-Aware Manner. AIAI Eoin Rogers, Robert J. Ross, John D. Kelleher
2018	—	`conf`	Exploring Online Novelty Detection Using First Story Detection Models. IDEAL (1) Fei Wang, Robert J. Ross, John D. Kelleher
2018	J	`jnl`	Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms. CoRR Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
2018	—	`conf`	Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning. ICANN (1) Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo D. Salton, John D. Kelleher
2018	J	`jnl`	Generating Diverse and Meaningful Captions. CoRR Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo D. Salton, John D. Kelleher
2018	B	`conf`	Is it worth it? Budget-related evaluation metrics for model selection. LREC Filip Klubicka, Giancarlo D. Salton, John D. Kelleher
2018	J	`jnl`	Is it worth it? Budget-related evaluation metrics for model selection. CoRR Filip Klubicka, Giancarlo D. Salton, John D. Kelleher
2018	J	`jnl`	Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing. CoRR Simon Dobnik, John D. Kelleher
2018	J	`jnl`	On the Inability of Markov Models to Capture Criticality in Human Mobility. CoRR Vaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher
2018	J	`jnl`	Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists. CoRR Giancarlo D. Salton, John D. Kelleher
2018	B	`conf`	Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code. VISSOFT Ivan Bacher, Brian Mac Namee, John D. Kelleher
2018	J	`jnl`	TEST: A Terminology Extraction System for Technology Related Terms. CoRR Murhaf Hossari, Soumyabrata Dev, John D. Kelleher
2018	B	`conf`	The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code. VISSOFT Ivan Bacher, Brian Mac Namee, John D. Kelleher
2018	J	`jnl`	Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets. CoRR Abhijit Mahalunkar, John D. Kelleher
2018	—	`conf`	Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. ICANN (3) Abhijit Mahalunkar, John D. Kelleher
2018	J	`jnl`	Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. CoRR Abhijit Mahalunkar, John D. Kelleher
2018	J	`jnl`	Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases. J. Artif. Soc. Soc. Simul. Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2018	J	`jnl`	What is not where: the challenge of integrating spatial representations into deep learning architectures. CoRR John D. Kelleher, Simon Dobnik
2017	J	`jnl`	A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology. J. Artif. Soc. Soc. Simul. Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2017	B	`conf`	A framework for post-stroke quality of life prediction using structured prediction. QoMEX Andrew Hines, John D. Kelleher
2017	—	`conf`	An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity. MLDM Fei Wang, Hector-Hugo Franco-Penya, John D. Kelleher, John Pugh, Robert J. Ross
2017	—	`conf`	Assessing the Usefulness of Different Feature Sets for Predicting the Comprehension Difficulty of Text. AICS Brian Mac Namee, John D. Kelleher, Noel Fitzpatrick
2017	—	`conf`	Attentive Language Models. IJCNLP(1) Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
2017	—	`conf`	Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis. CRV Aram Ter-Sarkisov, Robert J. Ross, John D. Kelleher
2017	J	`jnl`	Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis. CoRR Aram Ter-Sarkisov, Robert J. Ross, John D. Kelleher
2017	Misc	`conf`	Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier. RANLP Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
2017	J	`jnl`	Robot perception errors and human resolution strategies in situated human-robot dialogue. Adv. Robotics Niels Schütte, Brian Mac Namee, John D. Kelleher
2017	—	`conf`	Scoped: Visualising the Scope Chain Within Source Code. EuroVis (Short Papers) Ivan Bacher, Brian Mac Namee, John D. Kelleher
2017	—	`conf`	Tackling the Interleaving Problem in Activity Discovery. PAAMS (Special Sessions) Eoin Rogers, Robert J. Ross, John D. Kelleher
2017	—	`conf`	The Code-Map Metaphor - A Review of Its Use Within Software Visualisations. VISIGRAPP (3: IVAPP) Ivan Bacher, Brian Mac Namee, John D. Kelleher
2016	—	`conf`	A Corpus of Annotated Irish Traditional Dance Music Recordings: Design and Benchmark Evaluations. ISMIR Pierre Beauguitte, Bryan Duggan, John D. Kelleher
2016	—	`conf`	An Open Data Driven Epidemiological Agent-Based Model for Irish Towns. AICS Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
2016	—	`conf`	Idiom Token Classification using Sentential Distributed Semantics. ACL (1) Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
2016	B	`conf`	On Using Tree Visualisation Techniques to Support Source Code Comprehension. VISSOFT Ivan Bacher, Brian Mac Namee, John D. Kelleher
2016	—	`conf`	Towards a Deep Learning-based Activity Discovery System. AICS Eoin Rogers, John D. Kelleher, Robert J. Ross
2016	—	`conf`	Using Icicle Trees to Encode the Hierarchical Structure of Source Code. EuroVis (Short Papers) Ivan Bacher, Brian Mac Namee, John D. Kelleher
2016	—	`conf`	Using Topic Modelling Algorithms for Hierarchical Activity Discovery. ISAmI Eoin Rogers, John D. Kelleher, Robert J. Ross
2014	—	`conf`	An Empirical Study of the Impact of Idioms on Phrase Based Statistical Machine Translation of English to Brazilian-Portuguese. HyTra@EACL Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
2014	—	`conf`	Clarification Dialogues for Perception-based Errors in Situated Human-Computer Dialogues. MMRWHRI@ICMI Niels Schütte, John D. Kelleher, Brian Mac Namee
2014	—	`conf`	DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity. SemEval@COLING Magdalena Kacmajor, John D. Kelleher
2014	—	`conf`	Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation. MWE@EACL Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
2014	—	`conf`	Exploration of functional semantics of prepositions from corpora of descriptions of visual scenes. VL@COLING Simon Dobnik, John D. Kelleher
2014	—	`conf`	TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach. SemEval@COLING Arun Kumar Jayapal, Martin Emms, John D. Kelleher
2014	—	`conf`	The Effect of Sensor Errors in Situated Human-Computer Dialogue. VL@COLING Niels Schütte, John D. Kelleher, Brian Mac Namee
2013	—	`conf`	Accuracy and Timeliness in ML Based Activity Recognition. AAAI Workshop: Plan, Activity, and Intent Recognition Robert J. Ross, John D. Kelleher
2013	—	`conf`	Expecting the Unexpected: Measure the Uncertainties for Mobile Robot Path Planning in Dynamic Environment. TAROS Yan Li, Brian Mac Namee, John D. Kelleher
2012	—	`conf`	An Investigation Into Feature Selection for Oncological Survival Prediction. ITNG Dmitry Strunkin, Brian Mac Namee, John D. Kelleher
2012	B	`conf`	The Turning, Stretching and Boxing Technique: A Step in the Right Direction. IVA Mark Dunne, Brian Mac Namee, John D. Kelleher
2012	A*	`conf`	Towards a Cognitive System that Can Recognize Spatial Regions Based on Context. AAAI Nick Hawes, Matthew Klenk, Kate Lockwood, Graham S. Horn, John D. Kelleher
2011	J	`jnl`	Automatic Annotation of Referring Expressions in Situated Dialogues. Int. J. Comput. Linguistics Appl. Niels Schütte, John D. Kelleher, Brian Mac Namee
2011	—	`conf`	Feasibility study of utility-directed behaviour for computer game agents. Advances in Computer Entertainment Technology Colm Sloan, John D. Kelleher, Brian Mac Namee
2011	C	`conf`	Feeling the ambiance: using smart ambiance to increase contextual awareness in game agents. FDG Colm Sloan, John D. Kelleher, Brian Mac Namee
2011	J	`jnl`	The effect of occlusion on the semantics of projective spatial terms: a case study in grounding language in perception. Cogn. Process. John D. Kelleher, Robert J. Ross, Colm Sloan, Brian Mac Namee
2011	—	`ch.`	Visual salience and the other one. Salience - Multidisciplinary Perspectives on its Function in Discourse John D. Kelleher
2011	B	`conf`	Workshop on Computational Models of Spatial Language Interpretation - CoSLI-2 in conjunction with CogSci 2011. CogSci Joana Hois, Robert J. Ross, John D. Kelleher, John A. Bateman
2010	B	`ed.`	INLG 2010 - Proceedings of the Sixth International Natural Language Generation Conference, July 7-9, 2010, Trim, Co. Meath, Ireland INLG John D. Kelleher, Brian Mac Namee, Ielka van der Sluis, Anja Belz, Albert Gatt, Alexander Koller
2010	—	`conf`	Situating Spatial Templates for Human-Robot Interaction. AAAI Fall Symposium: Dialog with Robots John D. Kelleher, Robert J. Ross, Brian Mac Namee, Colm Sloan
2010	—	`conf`	Visual Salience and Reference Resolution in Situated Dialogues: A Corpus-based Evaluation. AAAI Fall Symposium: Dialog with Robots Niels Schuette, John D. Kelleher, Brian Mac Namee
2009	J	`jnl`	Applying Computational Models of Spatial Prepositions to Visually Situated Dialog. Comput. Linguistics John D. Kelleher, Fintan J. Costello
2009	—	`conf`	Just Say It: An Evaluation of Speech Interfaces for Augmented Reality Design Applications. AICS Nicholas Hanlon, Brian Mac Namee, John D. Kelleher
2008	B	`conf`	Referring Expression Generation Challenge 2008 DIT System Descriptions (DIT-FBI, DIT-TVAS, DIT-CBSR, DIT-RBR, DIT-FBI-CBSR, DIT-TVAS-RBR). INLG John D. Kelleher, Brian Mac Namee
2007	A*	`conf`	Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. IJCAI Michael Brenner, Nick Hawes, John D. Kelleher, Jeremy L. Wyatt
2006	J	`jnl`	Attention driven reference resolution in multimodal contexts. Artif. Intell. Rev. John D. Kelleher
2006	A*	`conf`	Incremental Generation of Spatial Referring Expressions in Situated Dialog. ACL John D. Kelleher, Geert-Jan M. Kruijff
2006	—	`conf`	Information Fusion for Visual Reference Resolution in Dynamic Situated Dialogue. PIT Geert-Jan M. Kruijff, John D. Kelleher, Nick Hawes
2006	A*	`conf`	Proximity in Context: An Empirically Grounded Computational Model of Proximity for Processing Topological Spatial Expressions. ACL John D. Kelleher, Geert-Jan M. Kruijff, Fintan J. Costello
2006	A*	`conf`	Structural descriptions in human-assisted robot visual learning. HRI Geert-Jan M. Kruijff, John D. Kelleher, Gregor Berginc, Ales Leonardis
2005	—	`conf`	A Context-dependent Algorithm for Generating Locative Expressions in Physically Situated Environments. ENLG John D. Kelleher, Geert-Jan M. Kruijff
2005	J	`jnl`	Dynamically structuring, updating and interrelating representations of visual and linguistic discourse context. Artif. Intell. John D. Kelleher, Fintan J. Costello, Josef van Genabith
2004	Misc	`conf`	Exploiting Visual Salience for the Generation of Referring Expressions. FLAIRS John D. Kelleher, Josef van Genabith
2004	J	`jnl`	Visual Salience and Reference Resolution in Simulated 3-D Environments. Artif. Intell. Rev. John D. Kelleher, Josef van Genabith