John D. Kelleher

Orcid: 0000-0001-6462-3248

According to our database1, John D. Kelleher authored at least 133 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

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Bibliography

2024
A framework for measuring the training efficiency of a neural architecture.
Artif. Intell. Rev., December, 2024

Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance.
Data Knowl. Eng., January, 2024

Estimating Population Burden of Stroke with an Agent-Based Model.
CoRR, 2024

Topic Aware Probing: From Sentence Length Prediction to Idiom Identification how reliant are Neural Language Models on Topic?
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.
CoRR, 2024

Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke.
Proceedings of the Explainable Artificial Intelligence, 2024

TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024

CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Following the Embedding: Identifying Transition Phenomena in Wav2vec 2.0 Representations of Speech Audio.
Proceedings of the IEEE International Conference on Acoustics, 2024

TWIG-I: Embedding-Free Link Prediction and Cross-KG Transfer Learning Using a Small Neural Architecture.
Proceedings of the Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI, 2024

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach.
Proceedings of the 10th International Conference on Control, 2024

2023
Hierarchical Framework for Interpretable and Probabilistic Model-Based Safe Reinforcement Learning.
CoRR, 2023

Specialized Deep Residual Policy Safe Reinforcement Learning-Based Controller for Complex and Continuous State-Action Spaces.
CoRR, 2023

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP.
CoRR, 2023

Probing Taxonomic and Thematic Embeddings for Taxonomic Information.
Proceedings of the 12th Global Wordnet Conference, 2023

Domain Terminology Integration into Machine Translation: Leveraging Large Language Models.
Proceedings of the Eighth Conference on Machine Translation, 2023

Show, Prefer and Tell: Incorporating User Preferences into Image Captioning.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space.
Proceedings of the 19th Workshop on Multiword Expressions, 2023

Discovering Phonetic Feature Event Patterns in Transformer Embeddings.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Action Classification in Human Robot Interaction Cells in Manufacturing: Moving Towards Mutual Performance Monitoring Capacity.
Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Using MT for multilingual covid-19 case load prediction from social media texts.
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

Adaptive Machine Translation with Large Language Models.
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

2022
The interaction of normalisation and clustering in sub-domain definition for multi-source transfer learning based time series anomaly detection.
Knowl. Based Syst., 2022

Investigating Contextual Influence in Document-Level Translation.
Inf., 2022

Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification.
Frontiers Artif. Intell., 2022

A review of risk concepts and models for predicting the risk of primary stroke.
Frontiers Neuroinformatics, 2022

Interpretable Hidden Markov Model-Based Deep Reinforcement Learning Hierarchical Framework for Predictive Maintenance of Turbofan Engines.
CoRR, 2022

Detecting Interlocutor Confusion in Situated Human-Avatar Dialogue: A Pilot Study.
CoRR, 2022

Validating and Testing an Agent-Based Model for the Spread of COVID-19 in Ireland.
Algorithms, 2022

Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

Probing with Noise: Unpicking the Warp and Weft of Embeddings.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Domain-Specific Text Generation for Machine Translation.
Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

Analysis of Attention Mechanisms in Box-Embedding Systems.
Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

2021
Adapting an Agent-Based Model of Infectious Disease Spread in an Irish County to COVID-19.
Syst., 2021

Finding BERT's Idiomatic Key.
Proceedings of the 17th Workshop on Multiword Expressions, 2021

Style as Sentiment Versus Style as Formality: The Same or Different?
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Simulating Delay in Seeking Treatment for Stroke Due to COVID-19 Concerns with a Hybrid Agent-Based and Equation-Based Model.
Proceedings of the Advances in Social Simulation, 2021

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Poisoning Knowledge Graph Embeddings via Relation Inference Patterns.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance.
Big Data Soc., January, 2020

Capturing and measuring thematic relatedness.
Lang. Resour. Evaluation, 2020

A Hybrid Agent-Based and Equation Based Model for the Spread of Infectious Diseases.
J. Artif. Soc. Soc. Simul., 2020

Semantic Relatedness and Taxonomic Word Embeddings.
CoRR, 2020

Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue.
Proceedings of the Spatial Cognition XII - 12th International Conference, 2020

English WordNet Random Walk Pseudo-Corpora.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Modelling Interleaved Activities Using Language Models.
Proceedings of the 34th International ECMS Conference on Modelling and Simulation, 2020

Language-Driven Region Pointer Advancement for Controllable Image Captioning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Style versus Content: A distinction without a (learnable) difference?
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Multimodal Fusion Strategies for Outcome Prediction in Stroke.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Energy-based Neural Modelling for Large-Scale Multiple Domain Dialogue State Tracking.
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020

2019
Automatic Acquisition of Annotated Training Corpora for Test-Code Generation.
Inf., 2019

Examining the Limits of Predictability of Human Mobility.
Entropy, 2019

Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies.
CoRR, 2019

Referring to the recently seen: reference and perceptual memory in situated dialog.
CoRR, 2019

Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings.
Open Comput. Sci., 2019

Synthetic, yet natural: Properties of WordNet random walk corpora and the impact of rare words on embedding performance.
Proceedings of the 10th Global Wordnet Conference, 2019

Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker.
Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Bigger versus Similar: Selecting a Background Corpus for First Story Detection Based on Distributional Similarity.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection.
Proceedings of the Computational Linguistics, 2019

Language Model Co-occurrence Linking for Interleaved Activity Discovery.
Proceedings of the Machine Learning for Networking, 2019

TEST: A Terminology Extraction System for Technology Related Terms.
Proceedings of the 2019 11th International Conference on Computer and Automation Engineering, 2019

On the Inability of Markov Models to Capture Criticality in Human Mobility.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

2018
Using a Socioeconomic Segregation Burn-in Model to Initialise an Agent-Based Model for Infectious Diseases.
J. Artif. Soc. Soc. Simul., 2018

Generating Diverse and Meaningful Captions.
CoRR, 2018

Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms.
CoRR, 2018

Understanding Recurrent Neural Architectures by Analyzing and Synthesizing Long Distance Dependencies in Benchmark Sequential Datasets.
CoRR, 2018

Modular Mechanistic Networks: On Bridging Mechanistic and Phenomenological Models with Deep Neural Networks in Natural Language Processing.
CoRR, 2018

What is not where: the challenge of integrating spatial representations into deep learning architectures.
CoRR, 2018

The Code Mini-Map Visualisation: Encoding Conceptual Structures Within Source Code.
Proceedings of the 2018 IEEE Working Conference on Software Visualization, 2018

Scoped: Evaluating A Composite Visualisation of the Scope Chain Hierarchy Within Source Code.
Proceedings of the 2018 IEEE Working Conference on Software Visualization, 2018

Is it worth it? Budget-related evaluation metrics for model selection.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Evaluating Sequence Discovery Systems in an Abstraction-Aware Manner.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Exploring Online Novelty Detection Using First Story Detection Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Generating Diverse and Meaningful Captions - Unsupervised Specificity Optimization for Image Captioning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network.
Proceedings of the British Machine Vision Conference 2018, 2018

A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

2017
A Taxonomy for Agent-Based Models in Human Infectious Disease Epidemiology.
J. Artif. Soc. Soc. Simul., 2017

Robot perception errors and human resolution strategies in situated human-robot dialogue.
Adv. Robotics, 2017

Scoped: Visualising the Scope Chain Within Source Code.
Proceedings of the 19th Eurographics Conference on Visualization, 2017

Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

A framework for post-stroke quality of life prediction using structured prediction.
Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017

Tackling the Interleaving Problem in Activity Discovery.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Attentive Language Models.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

The Code-Map Metaphor - A Review of Its Use Within Software Visualisations.
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, 2017

Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

Assessing the Usefulness of Different Feature Sets for Predicting the Comprehension Difficulty of Text.
Proceedings of the 25th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, December 7, 2017

2016
Using Icicle Trees to Encode the Hierarchical Structure of Source Code.
Proceedings of the 18th Eurographics Conference on Visualization, 2016

On Using Tree Visualisation Techniques to Support Source Code Comprehension.
Proceedings of the 2016 IEEE Working Conference on Software Visualization, 2016

A Corpus of Annotated Irish Traditional Dance Music Recordings: Design and Benchmark Evaluations.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Using Topic Modelling Algorithms for Hierarchical Activity Discovery.
Proceedings of the Ambient Intelligence - Software and Applications, 2016

Towards a Deep Learning-based Activity Discovery System.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

An Open Data Driven Epidemiological Agent-Based Model for Irish Towns.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Idiom Token Classification using Sentential Distributed Semantics.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014
DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Evaluation of a Substitution Method for Idiom Transformation in Statistical Machine Translation.
Proceedings of the 10th Workshop on Multiword Expressions, 2014

Clarification Dialogues for Perception-based Errors in Situated Human-Computer Dialogues.
Proceedings of the 2014 Workshop on Multimodal, 2014

An Empirical Study of the Impact of Idioms on Phrase Based Statistical Machine Translation of English to Brazilian-Portuguese.
Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation, 2014

The Effect of Sensor Errors in Situated Human-Computer Dialogue.
Proceedings of the Third Workshop on Vision and Language, 2014

Exploration of functional semantics of prepositions from corpora of descriptions of visual scenes.
Proceedings of the Third Workshop on Vision and Language, 2014

2013
Expecting the Unexpected: Measure the Uncertainties for Mobile Robot Path Planning in Dynamic Environment.
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013

Accuracy and Timeliness in ML Based Activity Recognition.
Proceedings of the Plan, 2013

2012
The Turning, Stretching and Boxing Technique: A Step in the Right Direction.
Proceedings of the Intelligent Virtual Agents - 12th International Conference, 2012

An Investigation Into Feature Selection for Oncological Survival Prediction.
Proceedings of the Ninth International Conference on Information Technology: New Generations, 2012

Towards a Cognitive System that Can Recognize Spatial Regions Based on Context.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Automatic Annotation of Referring Expressions in Situated Dialogues.
Int. J. Comput. Linguistics Appl., 2011

The effect of occlusion on the semantics of projective spatial terms: a case study in grounding language in perception.
Cogn. Process., 2011

Feeling the ambiance: using smart ambiance to increase contextual awareness in game agents.
Proceedings of the Foundations of Digital Games, 2011

Workshop on Computational Models of Spatial Language Interpretation - CoSLI-2 in conjunction with CogSci 2011.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Feasibility study of utility-directed behaviour for computer game agents.
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology, 2011

Visual salience and the other one.
Proceedings of the Salience - Multidisciplinary Perspectives on its Function in Discourse, 2011

2010
Visual Salience and Reference Resolution in Situated Dialogues: A Corpus-based Evaluation.
Proceedings of the Dialog with Robots, 2010

Situating Spatial Templates for Human-Robot Interaction.
Proceedings of the Dialog with Robots, 2010

2009
Applying Computational Models of Spatial Prepositions to Visually Situated Dialog.
Comput. Linguistics, 2009

Just Say It: An Evaluation of Speech Interfaces for Augmented Reality Design Applications.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

2008
Referring Expression Generation Challenge 2008 DIT System Descriptions (DIT-FBI, DIT-TVAS, DIT-CBSR, DIT-RBR, DIT-FBI-CBSR, DIT-TVAS-RBR).
Proceedings of the INLG 2008, 2008

2007
Mediating between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction.
Proceedings of the IJCAI 2007, 2007

2006
Attention driven reference resolution in multimodal contexts.
Artif. Intell. Rev., 2006

Information Fusion for Visual Reference Resolution in Dynamic Situated Dialogue.
Proceedings of the Perception and Interactive Technologies, 2006

Structural descriptions in human-assisted robot visual learning.
Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, 2006

Proximity in Context: An Empirically Grounded Computational Model of Proximity for Processing Topological Spatial Expressions.
Proceedings of the ACL 2006, 2006

Incremental Generation of Spatial Referring Expressions in Situated Dialog.
Proceedings of the ACL 2006, 2006

2005
Dynamically structuring, updating and interrelating representations of visual and linguistic discourse context.
Artif. Intell., 2005

A Context-dependent Algorithm for Generating Locative Expressions in Physically Situated Environments.
Proceedings of the Tenth European Workshop on Natural Language Generation, 2005

2004
Visual Salience and Reference Resolution in Simulated 3-D Environments.
Artif. Intell. Rev., 2004

Exploiting Visual Salience for the Generation of Referring Expressions.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004


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