John D. Kelleher

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 114

Top Venues

CoRR

AICS

RANLP

J. Artif. Soc. Soc. Simul.

Publications

Vasudevan Nedumpozhimana, John D. Kelleher
Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic? CoRR (2024)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance. Data Knowl. Eng. 149 (2024)
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
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 (2024)
Patrick Cormac English, Erfan A. Shams, John D. Kelleher, Julie Carson-Berndsen
Following the Embedding: Identifying Transition Phenomena in Wav2vec 2.0 Representations of Speech Audio. ICASSP (2024)
Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models. CoRR (2024)
Elizabeth Hunter, John D. Kelleher
Estimating Population Burden of Stroke with an Agent-Based Model. CoRR (2024)
Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva
CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation. CoRR (2024)
Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian
Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. CoRR (2024)
Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva
CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation. ICRA (2024)
Jeffrey Sardina, John D. Kelleher, Declan O'Sullivan
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models. ICSC (2024)
Filip Klubicka, John D. Kelleher
Probing Taxonomic and Thematic Embeddings for Taxonomic Information. GWC (2023)
Maja Popovic, Vasudevan Nedumpozhimana, Meegan Gower, Sneha Rautmare, Nishtha Jain, John D. Kelleher
Using MT for multilingual covid-19 case load prediction from social media texts. EAMT (2023)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning. CoRR (2023)
Yasmin Moslem, Gianfranco Romani, Mahdi Molaei, John D. Kelleher, Rejwanul Haque, Andy Way
Domain Terminology Integration into Machine Translation: Leveraging Large Language Models. WMT (2023)
Filip Klubicka, Vasudevan Nedumpozhimana, John D. Kelleher
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space. CoRR (2023)
Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Nishtha Jain, Maja Popovic, Patricia Buffini, John D. Kelleher
Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References. RANLP (2023)
Yasmin Moslem, Gianfranco Romani, Mahdi Molaei, Rejwanul Haque, John D. Kelleher, Andy Way
Domain Terminology Integration into Machine Translation: Leveraging Large Language Models. CoRR (2023)
Filip Klubicka, John D. Kelleher
Probing Taxonomic and Thematic Embeddings for Taxonomic Information. CoRR (2023)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces. CoRR (2023)
Patrick Cormac English, John D. Kelleher, Julie Carson-Berndsen
Discovering Phonetic Feature Event Patterns in Transformer Embeddings. INTERSPEECH (2023)
Annika Lindh, Robert J. Ross, John D. Kelleher
Show, Prefer and Tell: Incorporating User Preferences into Image Captioning. SAC (2023)
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
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR (2023)
Shakra Mehak, Maria Chiara Leva, John D. Kelleher, Michael Guilfoyle
Action Classification in Human Robot Interaction Cells in Manufacturing: Moving Towards Mutual Performance Monitoring Capacity. ICMLT (2023)
Filip Klubicka, Vasudevan Nedumpozhimana, John D. Kelleher
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space. MWE@EACL (2023)
Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way
Adaptive Machine Translation with Large Language Models. EAMT (2023)
Elizabeth Hunter, John D. Kelleher
A review of risk concepts and models for predicting the risk of primary stroke. Frontiers Neuroinformatics 16 (2022)
Filip Klubicka, John D. Kelleher
Probing with Noise: Unpicking the Warp and Weft of Embeddings. CoRR (2022)
Vasudevan Nedumpozhimana, Filip Klubicka, John D. Kelleher
Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification. Frontiers Artif. Intell. 5 (2022)
Matthew Nicholson, Rahul Agrahari, Clare Conran, Haythem Assem, John D. Kelleher
The interaction of normalisation and clustering in sub-domain definition for multi-source transfer learning based time series anomaly detection. Knowl. Based Syst. 257 (2022)
Na Li, John D. Kelleher, Robert J. Ross
Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study. CoRR (2022)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. DaWaK (2022)
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines. CoRR (2022)
Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way
Domain-Specific Text Generation for Machine Translation. CoRR (2022)
Filip Klubicka, John D. Kelleher
Probing with Noise: Unpicking the Warp and Weft of Embeddings. BlackboxNLP@EMNLP (2022)
Jeffrey Sardina, Callie Sardina, John D. Kelleher, Declan O'Sullivan
Analysis of Attention Mechanisms in Box-Embedding Systems. AICS (2022)
Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way
Domain-Specific Text Generation for Machine Translation. AMTA (2022)
Prashanth Nayak, Rejwanul Haque, John D. Kelleher, Andy Way
Investigating Contextual Influence in Document-Level Translation. Inf. 13 (5) (2022)
Elizabeth Hunter, John D. Kelleher
Validating and Testing an Agent-Based Model for the Spread of COVID-19 in Ireland. Algorithms 15 (8) (2022)
Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods. CoRR (2021)
Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns. ACL/IJCNLP (1) (2021)
Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns. CoRR (2021)
Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods. EMNLP (1) (2021)
Elizabeth Hunter, John D. Kelleher
Adapting an Agent-Based Model of Infectious Disease Spread in an Irish County to COVID-19. Syst. 9 (2) (2021)
Vasudevan Nedumpozhimana, John D. Kelleher
Finding BERT's Idiomatic Key. MWE@ACL-IJCNLP (2021)
Somayeh Jafaritazehjani, Gwénolé Lecorvé, Damien Lolive, John D. Kelleher
Style as Sentiment Versus Style as Formality: The Same or Different? ICANN (5) (2021)
Elizabeth Hunter, Bryony L. McGarry, John D. Kelleher
Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model. ESSA (2021)
Eoin Rogers, Robert J. Ross, John D. Kelleher
Modelling Interleaved Activities Using Language Models. ECMS (2020)
Anh-Duong Trinh, Robert J. Ross, John D. Kelleher
F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models. ICANN (2) (2020)
Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher
English WordNet Random Walk Pseudo-Corpora. LREC (2020)
Simon Dobnik, John D. Kelleher, Christine Howes
Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue. Spatial Cognition (2020)
Somayeh Jafaritazehjani, Gwénolé Lecorvé, Damien Lolive, John D. Kelleher
Style versus Content: A distinction without a (learnable) difference? COLING (2020)
Magdalena Kacmajor, John D. Kelleher, Filip Klubicka, Alfredo Maldonado
Semantic Relatedness and Taxonomic Word Embeddings. CoRR (2020)
Magdalena Kacmajor, John D. Kelleher
Capturing and measuring thematic relatedness. Lang. Resour. Evaluation 54 (3) (2020)
Abhijit Mahalunkar, John D. Kelleher
Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures. ICONIP (5) (2020)
Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases. J. Artif. Soc. Soc. Simul. 23 (4) (2020)
Annika Lindh, Robert J. Ross, John D. Kelleher
Language-Driven Region Pointer Advancement for Controllable Image Captioning. COLING (2020)
Esra Zihni, Vince Istvan Madai, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, John D. Kelleher, Dietmar Frey, Michelle Livne
Multimodal Fusion Strategies for Outcome Prediction in Stroke. HEALTHINF (2020)
Aphra Kerr, Marguerite Barry, John D. Kelleher
Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance. Big Data Soc. 7 (1) (2020)
Abhijit Mahalunkar, John D. Kelleher
Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures. CoRR (2020)
Anh-Duong Trinh, Robert J. Ross, John D. Kelleher
Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking. SPNLP@EMNLP (2020)
Annika Lindh, Robert J. Ross, John D. Kelleher
Language-Driven Region Pointer Advancement for Controllable Image Captioning. CoRR (2020)
Vaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher
On the Inability of Markov Models to Capture Criticality in Human Mobility. ICANN (3) (2019)
Vaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher
Examining the Limits of Predictability of Human Mobility. Entropy 21 (4) (2019)
Magdalena Kacmajor, John D. Kelleher
Automatic Acquisition of Annotated Training Corpora for Test-Code Generation. Inf. 10 (2) (2019)
John D. Kelleher, Simon Dobnik
Referring to the recently seen: reference and perceptual memory in situated dialog. CoRR (2019)
Anh-Duong Trinh, Robert J. Ross, John D. Kelleher
Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker. SIGdial (2019)
Eoin Rogers, John D. Kelleher, Robert J. Ross
Language Model Co-occurrence Linking for Interleaved Activity Discovery. MLN (2019)
Murhaf Hossari, Soumyabrata Dev, John D. Kelleher
TEST: A Terminology Extraction System for Technology Related Terms. ICCAE (2019)
Giancarlo D. Salton, John D. Kelleher
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists. RANLP (2019)
Fei Wang, Robert J. Ross, John D. Kelleher
Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity. RANLP (2019)
Fei Wang, Robert J. Ross, John D. Kelleher
Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection. PACLING (2019)
Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher
Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance. GWC (2019)
Abhijit Mahalunkar, John D. Kelleher
Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies. CoRR (2019)
Alfredo Maldonado, Filip Klubicka, John D. Kelleher
Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings. Open Comput. Sci. 9 (1) (2019)
Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo D. Salton, John D. Kelleher
Generating Diverse and Meaningful Captions. CoRR (2018)
Vaibhav Kulkarni, Abhijit Mahalunkar, Benoît Garbinato, John D. Kelleher
On the Inability of Markov Models to Capture Criticality in Human Mobility. CoRR (2018)
Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases. J. Artif. Soc. Soc. Simul. 21 (4) (2018)
Aram Ter-Sarkisov, John D. Kelleher, Bernadette Earley, Michael Keane, Robert J. Ross
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. BMVC (2018)
Filip Klubicka, Giancarlo D. Salton, John D. Kelleher
Is it worth it? Budget-related evaluation metrics for model selection. LREC (2018)
Abhijit Mahalunkar, John D. Kelleher
Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets. CoRR (2018)
Murhaf Hossari, Soumyabrata Dev, John D. Kelleher
TEST: A Terminology Extraction System for Technology Related Terms. CoRR (2018)
Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms. CoRR (2018)
Abhijit Mahalunkar, John D. Kelleher
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. CoRR (2018)
Ivan Bacher, Brian Mac Namee, John D. Kelleher
The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code. VISSOFT (2018)
Ivan Bacher, Brian Mac Namee, John D. Kelleher
Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code. VISSOFT (2018)
Aram Ter-Sarkisov, Robert J. Ross, John D. Kelleher, Bernadette Earley, Michael Keane
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network. CoRR (2018)
Simon Dobnik, John D. Kelleher
Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing. CoRR (2018)
Giancarlo D. Salton, John D. Kelleher
Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists. CoRR (2018)
Eoin Rogers, Robert J. Ross, John D. Kelleher
Evaluating Sequence Discovery Systems in an Abstraction-Aware Manner. AIAI (2018)
Elizabeth Hunter, Brian Mac Namee, John D. Kelleher
A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology. AICS (2018)
Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo D. Salton, John D. Kelleher
Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning. ICANN (1) (2018)
Filip Klubicka, Giancarlo D. Salton, John D. Kelleher
Is it worth it? Budget-related evaluation metrics for model selection. CoRR (2018)
Abhijit Mahalunkar, John D. Kelleher
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures. ICANN (3) (2018)
John D. Kelleher, Simon Dobnik
What is not where: the challenge of integrating spatial representations into deep learning architectures. CoRR (2018)
Fei Wang, Robert J. Ross, John D. Kelleher
Exploring Online Novelty Detection Using First Story Detection Models. IDEAL (1) (2018)
Fei Wang, Hector-Hugo Franco-Penya, John D. Kelleher, John Pugh, Robert J. Ross
An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity. MLDM (2017)
Eoin Rogers, Robert J. Ross, John D. Kelleher
Tackling the Interleaving Problem in Activity Discovery. PAAMS (Special Sessions) (2017)
Niels Schütte, Brian Mac Namee, John D. Kelleher
Robot perception errors and human resolution strategies in situated human-robot dialogue. Adv. Robotics 31 (5) (2017)
Giancarlo D. Salton, Robert J. Ross, John D. Kelleher
Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier. RANLP (2017)
Ivan Bacher, Brian Mac Namee, John D. Kelleher
Scoped: Visualising the Scope Chain Within Source Code. EuroVis (Short Papers) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

John D. Kelleher