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About

Eyke Hüllermeier is a full professor at the Institute of Informatics at LMU Munich, Germany, where he heads the Chair of Artificial Intelligence and Machine Learning. He studied mathematics and business computing, received his PhD in computer science from Paderborn University in 1997, and a Habilitation degree in 2002. Prior to joining LMU, he held professorships at the universities of Dortmund, Magdeburg, Marburg, and Paderborn, and also spent two years as a Marie Curie Fellow at the IRIT in Toulouse, France. He is also affiliated with the German Research Centre for Artificial Intelligence (DFKI, Kaiserslautern).

His research interests center on methods and theoretical foundations of artificial intelligence, particularly machine learning and reasoning under uncertainty. He has published over 300 articles on these topics in leading journals and at major international conferences, and several of his contributions have been recognized with scientific awards. Professor Hüllermeier is President of the European Association for Data Science (EuADS) and Editor-in-Chief of Data Mining and Knowledge Discovery, one of the leading journals in the field of AI. He is also an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, and serves on the editorial board of several other journals, including Machine Learning and the Journal of Machine Learning Research. He is a fellow of IFSA and ELLIS.

Publications

Recent Activities

  • President of the European Association for Data Science (EuADS)
  • Member of the editorial board of several international journals, including Journal of Machine Learning Research, Machine Learning (action editor), Data Mining and Knowledge Discovery, IEEE Computational Intelligence Magazine, Artificial Intelligence Review, International Journal of Approximate Reasoning, Advances in Data Analysis and Classification.
  • Regular program committee member of leading conferences in machine learning (e.g., ICML, NeurIPS) and artificial intelligence (e.g., AAAI, IJCAI). Currently Area Chair of ICML 2020, Area Chair of IJCAI 2020, Co-Guest Editor of the ECML/PKDD 2020 journal track.
  • General Chair of ECDA-2018, European Conference on Data Analysis, Paderborn, July 2018.
  • General Chair of DA2PL-2016, EURO Mini-Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany.
  • PC Co-Chair of PAIS-2016, Conference on Prestigious Applications of Intelligent Systems (colocated with ECAI, European Conference on Artificial Intelligence).
  • PC Co-Chair of ICCBR-2015, 23rd International Conference on Case-based Reasoning, Frankfurt, Germany.
  • PC Co-Chair of ECML/PKDD-2014, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Nancy, France.
  • PC Co-Chair of DS-2013, 16th Int. Conf. on Discovery Science, Singapore, October 6-9, 2013.
  • Area Chair of ECML/PKDD-2015, European Conference in Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, September 7-11, 2015.
  • Area Chair of ECML/PKDD-2013, European Conference in Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Prague, September 23-27, 2013.
  • PC Co-Chair of SUM-2012, 6th Int. Conf. on Scalable Uncertainty Management, Marburg, Germany, September 17-19, 2012.
  • Area Chair of ECML/PKDD-2012, European Conference in Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK, September 24-28, 2012.
  • Area Chair of AAAI-2013, 27th AAAI Conference on Artificial Intelligence, Bellevue, Washington, USA, July 14-18, 2013.
  • Area Chair of AAAI-2012, 26th AAAI Conference on Artificial Intelligence, Toronto, Canada, July 22-26, 2012.
  • General Chair of IPMU-2010, 13th Int. Conf. of Information Processing and Management of Uncertainty in Knowledge-Based Systems, Dortmund, Germany, June 28 - July 2, 2010.
  • Area Chair of ICML-2010, 27th International Conference on Machine Learning, Haifa, Israel, 2010.

Keynote Talks

2023

  • “Representation and Quantification of Uncertainty in Machine Learning: On the Data-driven Design of Epistemic Agents.” 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, Venice, Italy, 2023
  • “Representation and Quantification of Uncertainty in Machine Learning.” Applied Machine Learning Conference (GHOST), Poznan, Poland, 2023
  • “Representation and Quantification of Uncertainty in Machine Learning.” ML4CPS, Machine Learning for Cyber-Physical Systems, Hamburg, 2023

2022

  • “Explaining Change -- XAI for Models in Flux.” ACONTA'22, First European Conference on Augmented Complex Networks -- Trustworthy Analysis, Paris, 2022
  • “Representation and Quantification of Uncertainty in Machine Learning.” LFA 2022, Rencontres Francophones sur la Logique Floue et ses Applications, Toulouse, 2022
  • “Representation and Quantification of Uncertainty in Machine Learning.” German Conference on Artificial Intelligence (KI 2022), Trier (virtual), 2022
  • “Uncertainty Quantification in Machine Learning: From Aleatoric to Epistemic.” 11th Symposium on Conformal and Probabilistic Prediction with Applications (COPA), Brighton, UK, 2022
  • “Representation and Quantification of Uncertainty in Machine Learning.” Polish Conference on Artificial Intelligence (PP’RAI), Gdynai, 2022

2021

  • “Uncertainty Quantification in Machine Learning.” Mexican International Conference on Artificial Intelligence (MICAI), Mexico City, 2021

2020

  • "Multi-label Rule Learning." 4th International Joint Conference on Rules and Reasoning (RuleML+RR 2020), Oslo, Norway, 2020

2019

  • "Learning from Incomplete, Imprecise, and Coarse Data." IJCRS 2019, International Joint Conference on Rough Sets, Debrecen, Hungary, 2019.
  • "Analyzing and Learning from Ranking Data: New Problems and Challenges." DAGStat 2019, 5th Joint Statistical Meeting, Munich, 2019
  • IJCRS 2019, International Joint Conference on Rough Sets, Debrecen, Hungary, 2019.

2018

  • "Toward On-the-Fly Machine Learning." BNAIC/BENELEARN 2018, Benelux Conference on Artificial Intelligence and Machine Learning Conference of the Benelux. 's-Hertogenbosch, the Netherlands, 2018
  • "The New Data Science: On the Amalgamation of Statistics and Machine Learning." 41. Jahrestagung der Gesellschaft für experimentelle Wirtschaftsforschung. Paderborn, Germany, 2018

2017

  • "Statistics and Machine Learning: Two Sides of the Same Coin?" Conference of the German Statistical Society. Rostock, Germany, 2017
  • "Learning from Imprecise Data." 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU) and 10th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA), Lugano, Switzerland, 2017
  • "Large-Scale Machine Learning and Extreme Classification," International Conference on Control, Decision and Information Technologies, CoDIT-2017, Barcelona, Spain, 2017
  • "Superset Learning and Data Imprecisiation," TFML-2017, Theoretical Foundations of Machine Learning, Krakow, Poland, 2017

2016

  • "Large-Scale Machine Learning: Sparse Probability Estimation for Extreme Classification," SUM-2016, 10th International Conference on Scalable Uncertainty Management, Nice, France, 2016

2015

  • "Preference Learning: Machine Learning meets Preference Modeling." MDAI-2015, Modeling Decisions for Artificial Intelligence, Skövde, Sweden, 2015
  • "Preferences in Artificial Intelligence and Machine Learning." PFIA-2015, French Conference on Artificial Intelligence, Rennes, France, 2015
  • "Uncertainty in Machine Learning: From Weak Supervision to Reliable Prediction." ICAISC-2015, International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, 2015
  • "Preference-based Online Learning with Bandit Algorithms." Theoretical Foundations of Machine Learning, TFML-2015, Bedlewo, Poland, 2015

2014

  • "Preference Learning: Methods and Algorithms for Ranking Problems." IEEE International Conference on Intelligent Systems, IS--2014, Warsaw, Poland, 2014
  • "Learning from Imprecise and Fuzzy Data: On the Notion of Data Disambiguation." International Conference on Soft Methods in Probability and Statistics, SMPS--2014, Warsaw, Poland, 2014
  • "Preference Learning: Methods and Algorithms for Ranking Problems." International Conference on Machine Learning and Cybernetics, ICMLC-2014, Lanzhou, China, 2014

2013

  • "Learning from Imprecise and Fuzzy Data: On the Notion of Data Disambiguation." International Joint Conference on Computational Intelligence, IJCCI-2013, Faro, Portugal, 2013
  • "Preference Learning using Statistical Models for Label Ranking," European Conference on Data Analysis, ECDA-2013, Luxembourg, 2013
  • "Fuzzy Systems Modeling: Development, Critique, and New Directions." International Conference on Control, Decision and Information Technologies, CoDIT-2013, Hammamet, Tunisia

2012

  • "Fuzzy Logic in Machine Learning." International Symposium on Computational Intelligence and Design, ISCID-2012, Hangzhou, China, 2012

2011

  • "Learning from Label Preferences." 14th International Conference on Discovery Science, Espoo, Finland, October 2011 (jointly with J. Fürnkranz)
  • "Fuzzy Logic in Machine Learning." 10th Brazilian Symposium on Intelligent Automation, Sao Joao del-Rei, Brazil, September 2011

2010

  • "Fuzzy Logic in Machine Learning and Data Analysis." 4th International Conference on Fuzzy Information and Engineering, Amol, Iran, October 2010
  • "Fuzzy Rule Induction and Related Problems: A Case for Genetic Search?" Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems, Mieres, Spain, March 2010
  • "Fuzzy Pattern Trees for Quality Assessment: Conception and Model Construction." International Conference on Integrated Systems, Design and Technology, Siegen, Germany, June 2010

2009

  • "Preference Learning, Ranking, and Similarity Retrieval." Eighth International Conference on Flexible Query Answering Systems, Roskilde, Denmark, October 2009
  • "Learning Valued Preference Structures: Toward an Alternative Decision-Theoretic Framework for Machine Learning." Lernen-Wissen-Adaption, Darmstadt, Germany, September 2009
  • "Preference Learning." EUROFUSE Workshop Preference Modelling and Decision Analysis, Pamplona, Spain, September 2009
  • "Fuzzy Logic in Machine Learning." IFSA/EUSFLAT-2009, World Congress of the International Fuzzy Systems Association, Lisbon, July 2009
  • "Graph-Based Modeling and Algorithms in Structural Bioinformatics." Workshop Algorithmen und Komplexität, GI Jahrestagung 2009, Lübeck, October 2009
  • "Fuzzy Logic in Machine Learning." 30th Linz Seminar on Fuzzy Set Theory, Linz, Austria, February 2009

2007

  • "Credible Case-Based Inference Using Similarity Profiles." International Conference on Case-Based Reasoning, Belfast, Northern Ireland, August 2007

2006

  • "Learning by Pairwise Comparison: Classification, Ranking, and Related Problems." Dutch-Belgian Conference on Machine Learning, Ghent, Belgium, May 2006
  • "Preference Learning." French Conference on Fuzzy Logic and Its Applications, Toulouse, France, October 2006

2004

  • "A Systematic Approach to the Assessment of Fuzzy Association Rules." Workshop on Alternative Techniques for Data Mining and Knowledge Discovery, Brighton, UK, November 2004
  • "Fuzzy Methods in Knowledge Discovery." 8th International Conference on Computational Intelligence, Dortmund, Germany, October 2004.