Jaume Bacardit

81 papers A 12B 2C 3Journal 41Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evolutionary Computation and Explainable AI: A Roadmap to Understandable Intelligent Systems. IEEE Trans. Evol. Comput. Ryan Zhou, Jaume Bacardit, Alexander Edward Ian Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu
2025	J	`jnl`	Introduction to the Special Issue on Explainable AI in Evolutionary Computation - Part 2. ACM Trans. Evol. Learn. Optim. Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John McCall, David Walker
2024	J	`jnl`	Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems. CoRR Ryan Zhou, Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John A. W. McCall, Niki van Stein, David Walker, Ting Hu
2024	J	`jnl`	Introduction to the Special Issue on Explainable AI in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W. McCall, David J. Walker
2023	J	`jnl`	Deep learning identification of coronary artery disease from bilateral finger photoplethysmography sensing: A proof-of-concept study. Biomed. Signal Process. Control. Sadaf Iqbal, Sharad Agarwal, Ian Purcell, Alan Murray, Jaume Bacardit, John Allen
2023	J	`jnl`	Estimating individual-level pig growth trajectories from group-level weight time series using machine learning. Comput. Electron. Agric. Christian Taylor, Jonathan Guy, Jaume Bacardit
2022	J	`jnl`	Benchmark time series data sets for PyTorch - the torchtime package. CoRR Philip Darke, Paolo Missier, Jaume Bacardit
2022	J	`jnl`	Curating a longitudinal research resource using linked primary care EHR data - a UK Biobank case study. J. Am. Medical Informatics Assoc. Philip Darke, Sophie A. Cassidy, Michael Catt, Roy Taylor, Paolo Missier, Jaume Bacardit
2022	J	`jnl`	Insight from data analytics in a facilities management company. Qual. Reliab. Eng. Int. Daniel Walker, Martin Ruane, Jaume Bacardit, Shirley Coleman
2022	—	`conf`	McCall, David Walker: The intersection of evolutionary computation and explainable AI. GECCO Companion Jaume Bacardit, Alexander E. I. Brownlee, Stefano Cagnoni, Giovanni Iacca, John A. W
2021	J	`jnl`	Computational Strategies for the Identification of a Transcriptional Biomarker Panel to Sense Cellular Growth States in Bacillus subtilis. Sensors Yiming Huang, Wendy Smith, Colin Harwood, Anil Wipat, Jaume Bacardit
2021	J	`jnl`	Interpretable ML-driven Strategy for Automated Trading Pattern Extraction. CoRR Artur Sokolovsky, Luca Arnaboldi, Jaume Bacardit, Thomas Gross
2020	J	`jnl`	Automatic Tuning of Rule-Based Evolutionary Machine Learning via Problem Structure Identification. IEEE Comput. Intell. Mag. María A. Franco, Natalio Krasnogor, Jaume Bacardit
2020	J	`jnl`	Detection of FLOSS version release events from Stack Overflow message data. CoRR Artur Sokolovsky, Thomas Gross, Jaume Bacardit
2019	C	`ed.`	2019 Conference on Artificial Life, ALIFE 2019, online, July 29 - August 2, 2019 ALIFE Harold Fellermann, Jaume Bacardit, Ángel Goñi-Moreno, Rudolf M. Füchslin
2019	C	`conf`	Artificial Life in a Challenged World. ALIFE Harold Fellermann, Jaume Bacardit, Ángel Goñi-Moreno, Rudolf M. Füchslin
2019	J	`jnl`	Automated Individual Pig Localisation, Tracking and Behaviour Metric Extraction Using Deep Learning. IEEE Access Jake Cowton, Ilias Kyriazakis, Jaume Bacardit
2019	J	`jnl`	Decoding human fetal liver haematopoiesis. Nat. Dorin-Mirel Popescu, Rachel A. Botting, Emily Stephenson, Kile Green, Simone Webb, Laura Jardine, Emily F. Calderbank, Krzysztof Polanski, Issac Goh, Mirjana Efremova, Meghan Acres, Daniel Maunder, Peter Vegh, Yorick Gitton, Jong-Eun Park, Roser Vento-Tormo, Zhichao Miao, David Dixon, Rachel Rowell, David McDonald, James Fletcher, Elizabeth Poyner, Gary Reynolds, Michael Mather, Corina Moldovan, Lira Mamanova, Frankie Greig, Matthew D. Young, Kerstin B. Meyer, Steven Lisgo, Jaume Bacardit, Andrew Fuller, Ben Millar, Barbara Innes, Susan Lindsay, Michael J. T. Stubbington, Monika S. Kowalczyk, Bo Li, Orr Ashenberg, Marcin Tabaka, Danielle Dionne, Timothy L. Tickle, Michal Slyper, Orit Rozenblatt-Rosen, Andrew Filby, Peter Carey, Alexandra-Chloé Villani, Anindita Roy, Aviv Regev, Alain Chédotal, Irene Roberts, Berthold Göttgens, Sam Behjati, Elisa Laurenti, Sarah A. Teichmann, Muzlifah Haniffa
2019	J	`jnl`	Insight from data analytics with an automotive aftermarket SME. Qual. Reliab. Eng. Int. Wayne S. Smith, Shirley Coleman, Jaume Bacardit, Syd Coxon
2019	J	`jnl`	Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data. CoRR Pawel Widera, Paco M. J. Welsing, Christoph Ladel, John Loughlin, Floris P. F. J. Lafeber, Florence Petit Dop, Jonathan Larkin, Harrie Weinans, Ali Mobasheri, Jaume Bacardit
2019	C	`conf`	Towards Low-Carbon Conferencing: Acceptance of Virtual Conferencing Solutions and Other Sustainability Measures in the ALIFE Community. ALIFE Harold Fellermann, Alexandra S. Penn, Rudolf M. Füchslin, Jaume Bacardit, Ángel Goñi-Moreno
2018	J	`jnl`	A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors. Sensors Jake Cowton, Ilias Kyriazakis, Thomas Plötz, Jaume Bacardit
2017	—	`conf`	Characterising the Influence of Rule-Based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data. EvoApplications (1) Simon Baron, Nicola Lazzarini, Jaume Bacardit
2017	J	`jnl`	RGIFE: a ranked guided iterative feature elimination heuristic for the identification of biomarkers. BMC Bioinform. Nicola Lazzarini, Jaume Bacardit
2017	J	`jnl`	Scaling-up multiobjective evolutionary clustering algorithms using stratification. Pattern Recognit. Lett. Alvaro Garcia-Piquer, Jaume Bacardit, Albert Fornells, Elisabet Golobardes
2016	J	`jnl`	Functional networks inference from rule-based machine learning models. BioData Min. Nicola Lazzarini, Pawel Widera, Stuart Williamson, Rakesh Heer, Natalio Krasnogor, Jaume Bacardit
2016	J	`jnl`	GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. Inf. Sci. Pablo David Gutiérrez, Miguel Lastra, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
2016	J	`jnl`	Large-scale experimental evaluation of GPU strategies for evolutionary machine learning. Inf. Sci. María A. Franco, Jaume Bacardit
2015	J	`jnl`	Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets. Integr. Comput. Aided Eng. María Martínez-Ballesteros, Jaume Bacardit, Alicia Troncoso Lora, José C. Riquelme
2015	J	`jnl`	MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
2015	J	`jnl`	ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. Knowl. Based Syst. Isaac Triguero, Sara del Río, Victoria López, Jaume Bacardit, José Manuel Benítez, Francisco Herrera
2014	B	`conf`	A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. IEEE Congress on Evolutionary Computation Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
2014	J	`jnl`	Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example. Big Data Jaume Bacardit, Pawel Widera, Nicola Lazzarini, Natalio Krasnogor
2014	J	`jnl`	Large-Scale Experimental Evaluation of Cluster Representations for Multiobjective Evolutionary Clustering. IEEE Trans. Evol. Comput. Alvaro Garcia-Piquer, Albert Fornells, Jaume Bacardit, Albert Orriols-Puig, Elisabet Golobardes
2013	B	`conf`	An efficient decision rule-based system for the protein residue-residue contact prediction. IEEE Congress on Evolutionary Computation Alfonso E. Márquez Chamorro, Federico Divina, Jaume Bacardit, Jesús S. Aguilar-Ruiz
2013	J	`jnl`	GAssist vs. BioHEL: critical assessment of two paradigms of genetics-based machine learning. Soft Comput. María A. Franco, Natalio Krasnogor, Jaume Bacardit
2013	J	`jnl`	Integrating memetic search into the BioHEL evolutionary learning system for large-scale datasets. Memetic Comput. Dan Andrei Calian, Jaume Bacardit
2013	—	`conf`	Large scale data mining using genetics-based machine learning. GECCO (Companion) Jaume Bacardit, Xavier Llorà
2013	J	`jnl`	Large-scale data mining using genetics-based machine learning. WIREs Data Mining Knowl. Discov. Jaume Bacardit, Xavier Llorà
2012	—	`conf`	A NSGA-II Algorithm for the Residue-Residue Contact Prediction. EvoBIO Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, Gualberto Asencio-Cortés, Cosme Ernesto Santiesteban-Toca
2012	J	`jnl`	Analysing BioHEL using challenging boolean functions. Evol. Intell. María A. Franco, Natalio Krasnogor, Jaume Bacardit
2012	J	`jnl`	Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features. Bioinform. Jaume Bacardit, Pawel Widera, Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Natalio Krasnogor
2012	—	`conf`	Large scale data mining using genetics-based machine learning. GECCO (Companion) Jaume Bacardit, Xavier Llorà
2012	A	`conf`	Post-processing operators for decision lists. GECCO María A. Franco, Natalio Krasnogor, Jaume Bacardit
2011	—	`conf`	Large scale data mining using genetics-based machine learning. GECCO (Companion) Jaume Bacardit, Xavier Llorà
2011	A	`conf`	Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding. GECCO María A. Franco, Natalio Krasnogor, Jaume Bacardit
2010	J	`jnl`	A learning classifier system with mutual-information-based fitness. Evol. Intell. Robert Elliott Smith, Max Kun Jiang, Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst
2010	—	`conf`	Analysing bioHEL using challenging boolean functions. GECCO (Companion) María A. Franco, Natalio Krasnogor, Jaume Bacardit
2010	—	`conf`	Evolutionary symbolic discovery for bioinformatics, systems and synthetic biology. GECCO (Companion) Pawel Widera, Jaume Bacardit, Natalio Krasnogor, Carlos García-Martínez, Manuel Lozano
2010	J	`jnl`	Guest Editorial: Thematic Issue on 'Metaheuristics for large scale data mining'. Memetic Comput. Jaume Bacardit, Xavier Llorà
2010	—	`ed.`	Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers IWLCS Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz
2010	A	`conf`	Speeding up the evaluation of evolutionary learning systems using GPGPUs. GECCO María A. Franco, Natalio Krasnogor, Jaume Bacardit
2009	A	`conf`	A mixed discrete-continuous attribute list representation for large scale classification domains. GECCO Jaume Bacardit, Natalio Krasnogor
2009	J	`jnl`	Automated Alphabet Reduction for Protein Datasets. BMC Bioinform. Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Alfonso Valencia, Robert Elliott Smith, Natalio Krasnogor
2009	J	`jnl`	Improving the scalability of rule-based evolutionary learning. Memetic Comput. Jaume Bacardit, Edmund K. Burke, Natalio Krasnogor
2009	J	`jnl`	KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera
2009	—	`conf`	Large scale data mining using genetics-based machine learning. GECCO (Companion) Jaume Bacardit, Xavier Llorà
2009	J	`jnl`	Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems. Evol. Comput. Jaume Bacardit, Natalio Krasnogor
2009	J	`jnl`	Prediction of topological contacts in proteins using learning classifier systems. Soft Comput. Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor
2008	—	`ch.`	Data Mining in Proteomics with Learning Classifier Systems. Learning Classifier Systems in Data Mining Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Natalio Krasnogor
2008	A	`conf`	Fast rule representation for continuous attributes in genetics-based machine learning. GECCO Jaume Bacardit, Natalio Krasnogor
2008	—	`ed.`	Learning Classifier Systems, 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers IWLCS Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama
2008	—	`conf`	Learning classifier systems for optimisation problems: a case study on fractal travelling salesman problem. GECCO (Companion) Maximiliano Tabacman, Natalio Krasnogor, Jaume Bacardit, Irene Loiseau
2008	J	`jnl`	Prediction of recursive convex hull class assignments for protein residues. Bioinform. Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor
2007	A	`conf`	Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. GECCO Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor
2007	—	`conf`	Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System. IWLCS Jaume Bacardit, Natalio Krasnogor
2007	—	`conf`	Learning Classifier Systems: Looking Back and Glimpsing Ahead. IWLCS Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz
2006	A	`conf`	Coordination number prediction using learning classifier systems: performance and interpretability. GECCO Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz
2006	—	`conf`	From HP Lattice Models to Real Proteins: Coordination Number Prediction Using Learning Classifier Systems. EvoWorkshops Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Natalio Krasnogor, Jacek Blazewicz
2006	A	`conf`	Smart crossover operator with multiple parents for a Pittsburgh learning classifier system. GECCO Jaume Bacardit, Natalio Krasnogor
2005	A	`conf`	Analysis of the initialization stage of a Pittsburgh approach learning classifier system. GECCO Jaume Bacardit
2005	—	`conf`	Bloat Control and Generalization Pressure Using the Minimum Description Length Principle for a Pittsburgh Approach Learning Classifier System. IWLCS Jaume Bacardit, Josep Maria Garrell i Guiu
2005	—	`conf`	Data Mining in Learning Classifier Systems: Comparing XCS with GAssist. IWLCS Jaume Bacardit, Martin V. Butz
2005	—	`conf`	Improving the Performance of a Pittsburgh Learning Classifier System Using a Default Rule. IWLCS Jaume Bacardit, David E. Goldberg, Martin V. Butz
2004	—	`conf`	Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation. GECCO (2) Jaume Bacardit, Josep Maria Garrell i Guiu
2004	—	`conf`	Experimental Evaluation of Discretization Schemes for Rule Induction. GECCO (1) Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina
2004	A	`conf`	Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. PPSN Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu
2003	A	`conf`	Evolving Multiple Discretizations with Adaptive Intervals for a Pittsburgh Rule-Based Learning Classifier System. GECCO Jaume Bacardit, Josep Maria Garrell i Guiu
2002	A	`conf`	Evolution Of Adaptive Discretization Intervals For A Rule-based Genetic Learning System. GECCO Jaume Bacardit, Josep Maria Garrell i Guiu
2002	—	`conf`	Evolution of Multi-adaptive Discretization Intervals for a Rule-Based Genetic Learning System. IBERAMIA Jaume Bacardit, Josep Maria Garrell i Guiu
2002	—	`conf`	The Role of Interval Initialization in a GBML System with Rule Representation and Adaptive Discrete Intervals. CCIA Jaume Bacardit, Josep Maria Garrell i Guiu