Diarmuid Grimes

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Barry O'SullivanSchool of Computer Science & IT, University College Cork, IrelandDirección de correo verificada de cs.ucc.ie
Eugene FreuderProfessor Emeritus, University College CorkDirección de correo verificada de insight-centre.org
Emmanuel HebrardLAAS-CNRS, Université de ToulouseDirección de correo verificada de laas.fr
Deepak MehtaAI Specialist, AppleDirección de correo verificada de mycit.ie
Helmut SimonisInsight Centre for Data Analytics, University College CorkDirección de correo verificada de insight-centre.org
Lydia Y. ChenUniversity of Neuchatel/ TU DelftDirección de correo verificada de ieee.org
Robert BirkeUniversità degli Studi Di TorinoDirección de correo verificada de unito.it
Dirk PeschProfessor, School of Computer Science and IT, University College Cork, IrelandDirección de correo verificada de ucc.ie
Susan ReaCork Institute of TechnologyDirección de correo verificada de cit.ie
Vojtěch ZavřelAssistant professor, CTU in PragueDirección de correo verificada de cvut.cz
Georgiana IfrimAssociate Professor, University College Dublin, Insight Centre for Data Analytics & ML-LabsDirección de correo verificada de ucd.ie
Nic WilsonUniversity College CorkDirección de correo verificada de insight-centre.org
Arnaud MalapertAssociate professor, Université Côte d'Azur, CNRS, I3S, FranceDirección de correo verificada de unice.fr
Jan LM HensenProfessor of Building Performance Simulation, Eindhoven University of TechnolgyDirección de correo verificada de tue.nl
Kenneth N. BrownInsight Centre for Data Analytics, School of Computer Science and IT, University College CorkDirección de correo verificada de cs.ucc.ie

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Diarmuid Grimes

Munster Technological University, Cork Institute of Technology

Dirección de correo verificada de cit.ie

Combinatorial Optimisation Constraint Programming Artificial Intelligence Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Learning to Identify Global Bottlenecks in Constraint Satisfaction Search. D Grimes, RJ Wallace FLAIRS Conference, 592-597, 2007	43	2007
Experimental studies of variable selection strategies based on constraint weights RJ Wallace, D Grimes Journal of Algorithms 63 (1-3), 114-129, 2008	41	2008
Novel efficient technologies in Europe for axle bearing condition monitoring–the MAXBE project C Vale, C Bonifácio, J Seabra, R Calçada, N Mazzino, M Elisa, S Terribile, ... Transportation Research Procedia 14, 635-644, 2016	35	2016
Analyzing the impact of electricity price forecasting on energy cost-aware scheduling D Grimes, G Ifrim, B O'Sullivan, H Simonis Sustainable Computing: Informatics and Systems 4 (4), 276-291, 2014	35	2014
Closing the open shop: Contradicting conventional wisdom D Grimes, E Hebrard, A Malapert International conference on principles and practice of constraint …, 2009	35	2009
Job shop scheduling with setup times and maximal time-lags: A simple constraint programming approach D Grimes, E Hebrard International Conference on Integration of Artificial Intelligence (AI) and …, 2010	31	2010
Solving dynamic constraint satisfaction problems by identifying stable features RJ Wallace, D Grimes, EC Freuder Twenty-First International Joint Conference on Artificial Intelligence …, 2009	30	2009
Solving variants of the job shop scheduling problem through conflict-directed search D Grimes, E Hebrard INFORMS Journal on Computing 27 (2), 268-284, 2015	29	2015
Sampling strategies and variable selection in weighted degree heuristics D Grimes, RJ Wallace International Conference on Principles and Practice of Constraint …, 2007	28	2007
Learning from failure in constraint satisfaction search D Grimes, RJ Wallace Learning for Search: Papers from the 2006 AAAI Workshop, 24-31, 2006	23	2006
Models and strategies for variants of the job shop scheduling problem D Grimes, E Hebrard Principles and Practice of Constraint Programming–CP 2011: 17th …, 2011	16	2011
A cost-based model and algorithms for interleaving solving and elicitation of csps N Wilson, D Grimes, EC Freuder International Conference on Principles and Practice of Constraint …, 2007	13	2007
Integrated Energy Efficient Data Centre Management for Green Cloud Computing-The FP7 GENiC Project Experience JI Torrens, D Mehta, V Zavrel, D Grimes, T Scherer, R Birke, L Chen, ... Special Session on Tools for an Energy Efficient Cloud 3, 375-386, 2016	10	2016
A comparison of deep learning vs traditional machine learning for electricity price forecasting C O'Leary, C Lynch, R Bain, G Smith, D Grimes 2021 4th International Conference on Information and Computer Technologies …, 2021	9	2021
Robust server consolidation: coping with peak demand underestimation D Grimes, D Mehta, B O’Sullivan, R Birke, L Chen, T Scherer, ... 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation …, 2016	9	2016
A study of adaptive restarting strategies for solving constraint satisfaction problems D Grimes Proc. 19th Irish Conference on Artificial Intelligence and Cognitive Science …, 2008	8	2008
Globally optimised energyefficient datacenters D Pesch, S Rea, JI Torrens, V Zavrel, JLM Hensen, D Grimes, ... ICT-Energy Concepts for Energy Efficiency and Sustainability, 187-214, 2017	7	2017
Automated energy usage optimization for the residential sector: Impact of price tariffs D Grimes, H Simonis, A Pratt, C Sheridan 3rd International Conference on Computational Sustainability (CompSust’12), 2012	7	2012
Neural architecture search using particle swarm and ant colony optimization S Lankford, D Grimes arXiv preprint arXiv:2403.03781, 2024	6	2024
Problem-Structure vs. Solution-Based Methods for Solving Dynamic Constraint Satisfaction Problems RJ Wallace, D Grimes Proceedings of the 22nd International Conference on Tools with Artificial …, 2010	5	2010

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