John D. Kelleher

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Brian Mac NameeUniversity College DublinVerified email at ucd.ie
Robert RossSenior Lecturer, TU Dublin, School of Computer ScienceVerified email at tudublin.ie
Dr Elizabeth HunterData Scientist, Technological University DublinVerified email at tudublin.ie
Simon DobnikProfessor of Computational Linguistics, Gothenburg UniversityVerified email at gu.se
Brendan TierneyTechnological University DublinVerified email at oralytics.com
Giancarlo SaltonTU DublinVerified email at tudublin.ie
Geert-Jan KruijffAmazon MusicVerified email at amazon.com
Fintan CostelloLecturer in Computer Science, University College DublinVerified email at ucd.ie
Abhijit MahalunkarPhD Candidate, Technological University DublinVerified email at tudublin.ie
Nick HawesOxford Robotics Institute, University of OxfordVerified email at robots.ox.ac.uk
Josef van GenabithDFKI German Research Center for Artificial IntelligenceVerified email at dfki.de
Vince Istvan MadaiM.D., Ph.D., M.A., @QUEST, Charité BerlinVerified email at charite.de
Aphra KerrProfessor of Sociology, Maynooth University, Ireland.Verified email at mu.ie
Filip KlubičkaPhD Student, Technological University DublinVerified email at adaptcentre.ie
Anh Duong TrinhPhD Candidate, Technological University DublinVerified email at tudublin.ie
Eoin RogersTU DublinVerified email at tudublin.ie
Alfredo MaldonadoUnderwriters Laboratories (UL)Verified email at tcd.ie
Kristian HildebrandBeuth University of Applied SciencesVerified email at beuth-hochschule.de
Dr. Abdel Aziz TahaResearchstudio Austria (RSA)Verified email at ifs.tuwien.ac.at
Orhun Utku AydinCharite Universitätsmedizin BerlinVerified email at charite.de

John D. Kelleher

Information, Communication and Entertainment Research Institute, Technological University Dublin (TU

Verified email at tudublin.ie - Homepage

Machine Learning Natural Language Processing Human Robot Interaction Artificial Intelligence Data Science


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Fundamentals of machine learning for predictive data analytics: algorithms, worked examples, and case studies JD Kelleher, B Mac Namee, A D'arcy MIT press, 2020	757	2020
Data Science JD Kelleher, B Tierney MIT Press, 2018	224	2018
Deep learning JD Kelleher MIT press, 2019	193	2019
A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease M Livne, J Rieger, OU Aydin, AA Taha, EM Akay, T Kossen, J Sobesky, ... Frontiers in neuroscience 13, 97, 2019	129	2019
Incremental generation of spatial referring expressions in situated dialog J Kelleher, GJM Kruijff Proceedings of the 21st international conference on computational …, 2006	111	2006
Applying computational models of spatial prepositions to visually situated dialog JD Kelleher, FJ Costello Computational Linguistics 35 (2), 271-306, 2009	106	2009
An open-data-driven agent-based model to simulate infectious disease outbreaks E Hunter, B Mac Namee, J Kelleher PloS one 13 (12), e0208775, 2018	99*	2018
A taxonomy for agent-based models in human infectious disease epidemiology E Hunter, B Mac Namee, JD Kelleher Journal of Artificial Societies and Social Simulation 20 (3), 2017	99	2017
Dynamically structuring, updating and interrelating representations of visual and linguistic discourse context J Kelleher, F Costello, J Van Genabith Artificial Intelligence 167 (1-2), 62-102, 2005	75	2005
The recruitment of passion and community in the service of capital: Community managers in the digital games industry A Kerr, JD Kelleher Critical studies in media communication 32 (3), 177-192, 2015	69	2015
Mediating between qualitative and quantitative representations for task-orientated human-robot interaction. M Brenner, N Hawes, JD Kelleher, JL Wyatt Proceedings of the International Joint Conference on Artificial Intelligence …, 2007	62	2007
An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity F Wang, HH Franco-Penya, JD Kelleher, J Pugh, R Ross International Conference on Machine Learning and Data Mining in Pattern …, 2017	61	2017
Information fusion for visual reference resolution in dynamic situated dialogue GJM Kruijff, JD Kelleher, N Hawes International Tutorial and Research Workshop on Perception and Interactive …, 2006	55	2006
Proximity in context: an empirically grounded computational model of proximity for processing topological spatial expressions JD Kelleher, GJM Kruijff, FJ Costello Proceedings of the 21st International Conference on Computational …, 2006	52	2006
Idiom Token Classification using Sentential Distributed Semantics GD Salton, RJ Ross, JD Kelleher Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	45	2016
Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance A Kerr, M Barry, JD Kelleher Big Data & Society 7 (1), 2053951720915939, 2020	42	2020
A perceptually based computational framework for the interpretation of spatial language JD Kelleher Dublin City University, 2003	40*	2003
Fundamentals of machine learning for predictive analytics JD Kelleher, B Mac Namee, A D’Arcy Cambridge, MA: The MIT Press, 2015	37*	2015
Towards a cognitive system that can recognize spatial regions based on context N Hawes, M Klenk, K Lockwood, G Horn, J Kelleher Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 200-206, 2012	34	2012
Visual salience and reference resolution in simulated 3-d environments J Kelleher, J van Genabith Artificial Intelligence Review 21 (3), 253-267, 2004	34	2004

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