My research interests are in the field of Statistical Machine Learning and Combinatorial Optimization. Particularly in Machine Learning we pursue the design and evaluation of new classification paradigms and algorithms able to produce predictive models which can be applied in different fields such as medicine, bioinformatics, ecology, etc. On the other hand, in the Combinatorial Optimization field we develop new heuristics and metaheuristic algorithms able to find a balance between quality of the solution and computational time, study their properties from a theoretical point of view and apply in the solution of real problems.

Assistant Professor Inaki Inza works in the areas of data mining and probabilistic graphical models for classification, with applications in bioinformatics and ecological modelling; specific topics are weakly supervised classification, crowd learning and feature selection. He has published more than 30 papers in indexed international journals and supervised 5 PhD projects.

Dr. Alexander Mendiburu is an associate professor at the department of Computer Architecture and Technology, school of Computer Science, University of the Basque Country UPV/EHU. His main research areas are Evolutionary Computation, Probabilistic Graphical Models, Time Series, and Parallel Computing.

Roberto Santana received the M.Sc. degree in Computer Science from the University of Havana, Cuba, in 1996. He received a Ph.D. in Mathematics from the University of Havana in 2005 and a Ph. D. in Computer Science from the University of the Basque Country, in Spain, in 2006. He is a Tenured researcher at the Intelligent Systems Group (ISG), Department of Computer Science and Artificial Intelligence, University of the Basque Country, Spain. Roberto Santana's research interests comprise the use of probabilistic graphical models in evolutionary algorithms and the application of machine learning methods to problems from bioinformatics and neuroinformatics. He has published over 25 papers in international journals, more than 60 papers in international conferences, and is the editor of one book devoted to the use of Markov networks in evolutionary computation. He has participated in several projects funded by the Basque Government, the Spanish Ministry of Science and Technology, and the European Union. He is also a professor in the Master program "Computational Engineering and Intelligent Systems" of the University of the Basque Country.

I recieved my master's degree in Biochemistry from the Univesity of the Basque Country in 1999 and, after two years working, I took a bachelor's degree in Computer Science at the same university. In 2004 I earned the bachelor's degree and in 2008 the PhD in Computer Science. After two years as a Post-Doc researcher at the Intelligent Systems Group, in 2011 I won my current lecturer position at the Department of Computer Science and Artificial Intelligence of the University of the Basque Country. Currently I am leading a reseach project funded by the DGT (spanish traffic agency) aimed at the prediction of car accidents in the basque road network. I am also supervising three PhD students and severl master thesis.

I'm a Professor at the Department of Computer Architecture and Technology of the School of Computer Engineering of the UPV/EHU. I am a member of the Intelligent Systems Group research group. My teaching and research areas are Parallel and distributed computing and Computer networking. I focus my research on parallel and distributed computing, with particular interest on interconnection networks for parallel systems

Josu Ceberio is member of the Intelligent Systems Group at the University of the Basque Country since 2010. He received his Ph.D. degree in Computer Science from this university in 2014. Since 2014, he is lecturer at the University of the Basque Country, first in the department of Applied Mathematics, later in the department of Languages and Computer Systems, and currently, in the department of Computer Science and Artificial Intelligence at the Faculty of Computer Science. His main research areas are evolutionary computation, permutation-based combinatorial optimization problems and probability models on rankings.

Usue Mori received a BSc degree in Mathematics, a PhD in Computer Science in 2010 and 2015, respectively. Currectly she is a lecturer at the university of the Basque Country UPV/EHU in the Department of Applied Mathematics, Statistics and Operational Research. Her main research interests include clustering and classification of time series, and she has also worked in practical applications in the area of traffic modeling.

In 2010 Aritz Pérez obtained his PhD entitled Supervised Classification in Continuous Domains with Bayesian Networks. He was researcher at the Department of Computer Sciences and Artificial Intelligence from 2010 to 2014 as a member of Intelligent Systems Group. In 2011 he was lecturer at the Department of Lenguajes and Information Systems at the University of the Basque Country. Since 2011, he has been invited lecturer in the Master of Computational Engineering and Intelligent Systems of the University of the Basque Country. Since 2014, he has a postdoctoral fellow at the BERC institution Basque Center of Applied Mathematics (BCAM). His research of interest includes supervised and unsupervised classification, probabilistic graphical models, feature subset selection, model selection and evaluation, ecological modeling, genetics and epigenetics.

Ekhine Irurozki is a Post-Doc researcher since she received her PhD in 2014 at the Computer Science school. She is affiliated to the Intelligent Systems Group at the Basque Country University. She is currently involved in a research project on real-time prediction of car crashes at the Basque road network, founded by the Spanish traffic agency (DGT). She is particularly interested on probabilistic reasoning on permutations, area in which her thesis was developed. Moreover, she has worked in several optimization problems.

Leticia Hernando received the M.Sc. degree in mathematics from the University of the Basque Country in 2009. She is member of the Intelligent Systems Group at this university since 2010, and she received her Ph.D. degree in Computer Science in 2015. Her research interests include evolutionary computation and permutation-based combinatorial optimization problems.

I am post-doc researcher at the University of the Basque Country and member of the <em>Intelligent Systems Group</em>, a research team led by Jose A. Lozano. My PhD advisors were Iñaki Inza and Jose A. Lozano. In the field of <b>machine learning</b>, our research works have been related to learning problems with <b>weak supervision</b>. Our proposals aim to learn predictive models, specifically <b>Bayesian network classifiers</b>, from this kind of data. I am post-doc researcher at the University of the Basque Country and member of the <em>Intelligent Systems Group</em>, a research team led by Jose A. Lozano. My PhD advisors were Iñaki Inza and Jose A. Lozano. In the field of <b>machine learning</b>, our research works have been related to learning problems with <b>weak supervision</b>. Our proposals aim to learn predictive models, specifically <b>Bayesian network classifiers</b>, from this kind of data. I am post-doc researcher at the University of the Basque Country and member of the <em>Intelligent Systems Group</em>, a research team led by Jose A. Lozano. My PhD advisors were Iñaki Inza and Jose A. Lozano. In the field of <b>machine learning</b>, our research works have been related to learning problems with <b>weak supervision</b>. Our proposals aim to learn predictive models, specifically <b>Bayesian network classifiers</b>, from this kind of data.

Daniel Rodriguez is currently an associate professor at the Computer Science Department of the University of Alcala, Madrid, Spain. In the past, he was lecturer at the University of Reading (2001-2006), as well as a seasonal lecturer until 2010 at the MSc in Network Centered Computing covering the Data Mining and Information Retrieval module. Daniel earned his degree in Computer Science at the University of the Basque Country (EHU) and PhD degree at the University of Reading, UK in 2003. His research interest include data mining and optimisation techniques in general and their application to Software Engineering in particular.

Jose Luis Flores received an MSc degree in Computer Science from The University of the Basque Country. He is a PhD student in The University of the Basque Country and a member of the Intelligent Systems Group research team. His research interests are preprocessing in machine learning, and optimization. Nowadays, he also works as a researcher at IK4-Ikerlan, a international R & D technology centre and it is part of IK4 Technology Alliance.

Jonathan Ortigosa-Hernandez received an MSc degree in Computer Science from The University of the Basque Country in 2008, and a BSc in Informatics from Coventry University in the same year. Since 2009, he has been a PhD student in The University of the Basque Country and a member of the Intelligent Systems Group research team. His research interests are multi-dimensional classification, semi-supervised learning, unbalanced problems, and sentiment analysis. Nowadays, he also works as a data scientist for the Gestamp Group, an international company dedicated to the car manufacturing industry.

Ari Urkullu received the MSc degree in computational engineering and intelligent systems from the University of the Basque Country (UPV/EHU) in 2011. He worked from 2011 to 2013 as a software developer in the company Fullstep Networks. Since 2014 he is a PhD student at the research group ISG of the University of the Basque Country (UPV/EHU), focused on bioinformatics. His research interests includes bioinformatics, machine learning and artificial intelligence. He is supervised by Borja Calvo and Aritz Pérez.

Ibai Roman received his bachelor degree in Computer Science from Mondragón University in 2010. In 2012, he finished his masters degree in Computational Engineering and Intelligent Systems from the University of the Basque Country (UPV/EHU). Currently Ibai Roman carries out his research in optimization as a PhD student. His research interests are Bayesian Optimization and Gaussian Process.

Diana Carrera received her bachelor degree in Computer Science from Faculty of Computer Science at the University of Havana in 2012 and two years later she finished her masters degree in Applied Mathematics from the same university. Currently she carries out her research in Probabilistic graphical models as a PhD student in the University of the Basque Country.

César Montenegro received his bachelor degree in computer science in 2009, before obtaining his masters degree in Industry applied computer engineering research, in 2012, both in the Complutense University (UCM) in Madrid. He joined ISG in 2016 as a PhD student. His principal research interests are anomaly detection, unsupervised classification, and semi-supervised classification.

Iker Beñaran obtained his Bachelor's Degree in Mathematics at the University of the Basque Country (UPV/EHU) in July 2015. He finished a Master's Degree in Computational Engineering and Intelligent Systems a the same university in September 2016. He is currently a PhD Student at ISG. His research interests are weak supervision and crowd learning.

Maialen Murua received a Bachelor's degree in Mathematics at the University of the Basque Country in 2014 and a Master's degree in Computational Engineering and Intelligent Systems in 2016 at the same university. She did an intership in 2016 in Tecnalia to conduct her Master's thesis in the application of Machine Learning techniques to industrial processes. Currently, she is a Computer Science PhD student at Tecnalia. Her research interests include Discrete Optimization and Stochastic Processes.

Unai Garciarena received his bachelor degree in computer science in 2015, before obtaining his masters degree in computer engineering and intelligent systems, in 2016, both in the University of the Basque Country (UPV/EHU). He joined ISG in 2017 as a PhD student. His principal research interests are data preprocessing, supervised classification, and optimization.

Amaia Abanda Elustondo received a BSc degree in Mathematics at the Autonomous University of Barcelona (UAB) in 2013 and a masters degree in Computational Engineering and Intelligent Systems at the University of the Basque Country (UPV/EHU) in 2015. She worked as a software developer in Urolalde and in 2016 she was granted a Global Training scholarship by the Basque Government in order to research on Computer Vision at Pattern Recognition and Applications Lab (PRALab), University of Cagliari (Italy). Currently, she is a PhD student at Basque Center of Applied Mathematics (BCAM) and a member of the Intelligent Systems Group at UPV/EHU. Her research interests include time series classification and kernel methods.

Currently, I am a PhD student at Data Science research line, working under the supervision of Prof. Jose Antonio Lozano in Machine Learning group at BCAM-Basque Center for Applied Mathematics, and Prof. David Soto in Conscioussness group at BCBL-Basque Center on Cognition, Brain and Language. My research is focused on the development of new computational efficient machine learning algorithms, the use of appropiate statistical methods to test significance and their application to ultra-high-dimensional data considering not only the spatial component but also the temporal dimension, as is the case of fMRI data. keywords: supervised classification, multi-dimensional time series, multivariate pattern analysis, dimensionality reduction,information theory, non-parametric statistical inference, cognitive neuroscience, functional magnetic resonance imaging.

Kristina is a former student of Computational Engineering and Intelligent Systems Master in University of the Basque Country. She received her degree in Applied Mathemathics in Moscow State University of Electronics and Mathematics. Her Master thesis theme is "Statistical natural language generation for dialogue systems based on hierarchical models". Her primary research interests are Data Analysis, Statistics and Machine Learning.

Ander Carreño received her bachelor degree in Computer Science from the University of the Basque Country in 2016. One year later he obtained his masters degree in Artificial Intelligence from the Politecnic University of Madrid. Since 2018 he is a PhD Student at the Intelligent Systems Group. His research interests includes supervised and unsupervised classification of temporal and non temporal data, model selection and evaluation, and feature subset selection.

Anne Elorza received her bachelor degree in Mathematics from the University of the Basque Country in 2016. The next year she received her masters degree in Computational Engineering and Intelligent Systems from the same university. Currently she carries out her research in Combinatorial Optimization as a PhD student in the University of the Basque Country.