I am a Professor at the University of Helsinki in Finland, where I lead a research group on Data science and evolution. I am also affiliated with the Finnish Museum of Natural History (LUOMUS).
[this is an outdated page, updates are coming]
I am/have been involved in these funded projects:
@University of Helsinki
ECHOES - The Ecological Context of Human Origins and its Evolutionary Significance (researcher), 2015-2017
@Aalto University
TrafficSense – Energy Efficient Traffic with Crowdsensing (researcher), 2013 - 2017
MultiTree — Multi-scale modelling of tree growth, forest ecosystems, and their environmental control (researcher), 2012 - 2016
@BPTI
RePOZ Closed loop real-time patient positioning feasibility study (consultant) - funded by EU/LT (Intelektas LT), 2012-2013
@Bournemouth University
Handling Multiple Adaptive Elements in Predictive Modelling with Streaming Data (PhD co-supervisor) - funded by BU, 2011-2014
INFER Computational Intelligence Platform for Evolving and Robust Predictive Systems (research task leader) - funded by EU FP7, 2010-2014
@Eindhoven University of Technology
CAPA Context Awareness in Predictive Analytics (researcher) - funded by STW (NWO), 2011-2015
Food Sales Prediction (researcher)
CFB Boilers Sensors Data Mining (researcher)
Editorial activities
Editorial Board member for Data Mining Knowledge Discovery journal (Springer) 2016-2018
Journal track chair for ECMLPKDD'15 (Porto, Portugal)
Member of Guest Editorial Board for ECMLPKDD'14 journal track, 2017, 2018
Guest Editor for the special issue on Handling Concept drift in Adaptive Information Systems at Evolving Systems journal
Program Committee Membership
KDD-applied'21, ECMLPKDD'21
KDD-applied'19, NeurIPS'19, MACLEAN2019, IoT-Stream'19
ECMLPKDD'18, DSDAH'18, IDA18, IOTSTREAM18, KDD'18-applied,
ECMLPKDD'17 (Area Chair), SAC'17 - Data Streams,
IDA'15, IDA'16, IVUS'16, ECMLPKDD'16, PhDforum@ICDM'16,
ECMLPKDD'14, IDA'14, DS'14, IVUS'14, MUD@EDBT/ICDT'14, ILND@ESANN'14, CBMS'14,
ECMLPKDD'13, IJCAI'13, IVUS'13, PROMAMEDS'13@CBMS, SAC'13 - Data Streams, COPEM'13@ECMLPKDD, ICDM'13 PhD student forum,
ECMLPKDD'12, FSKD'12, HAIS'12, ICPRAM'12, PRICAI'12, IID'12@ECMLPKDD, MCDS'12@ADBIS, MMAML'12@ACIIDS, PROMAMEDS'12@CBMS, SAC'12-Data Streams, SDAD'12@ECMLPKDD,
CIDUE'11, ECMLPKDD'11, FSKD'11, HAIS'11, IJCAI'11, ISDA'11, SAC'11-Data Streams,
Reviewing for journals
PNAS (2023)
Acta Astronautica (2022)
Paleobiology (2022)
Methods in Ecology and Evolution (2021)
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020)
Data Mining and Knowledge Discovery, Springer (2013-2020)
Machine Learning, Springer (2012-2020)
Nature (2019-2020)
Journal of Biomechanics (2019)
Ecology Letters (2019)
Palaeogeography, Palaeoclimatology, Palaeoecology (2019)
Pattern Recognition, Elsevier (2009-2013, 2019)
International journal of computer vision (2019)
Palaeobiodiversity and Palaeoenvironments (2018)
Artificial intelligence review (2017)
Scientific Reports (2017)
Evolutionary Ecology Research (2016)
PLOSI (2016)
ACM Transactions on Knowledge Discovery from Data (2016)
IEEE Transactions on Knowledge and Data Engineering (2014-2017,2019)
IEEE Transactions on Learning Technologies (2015)
Journal of Machine Learning Research (2013)
Artificial Intelligence and Law, Springer (2013)
IEEE Transactions on Neural Networks and Learning Systems (2010-2013,2015-2018)
Knowledge Information Systems, Springer (2011-2013,2016,2018)
Information Sciences, Elsevier (2011-2013)
Information Systems, Elsevier (2011-2012,2015)
Computational Statistics and Data Analysis, Elsevier (2012)
Journal of Intelligent Information Systems, Springer (2012)
Evolving Systems, Springer (2012)
Neurocomputing, Elsevier (2012, 2018)
International Journal of Tourism Research, Wiley (2012)
IEEE Transactions on Cybernetics (2012, 2018)
Intelligent Systems in Accounting, Finance and Management, Wiley (2011)
Advances in Data Analysis and Classification, Springer (2010)
Journal of Pattern Recognition Research (2009-2010)
Pattern Recognition Letters, Elsevier (2009)
Central European Journal of Computer Science (2013)
European Journal of Operational Research, Elsevier (2008-2009)
Journal of Graphical and Computational Statistics, ASA (2008)
Reviewing for funding
Estonian Research Council
Workshop organization
Co-Chair of RealStream (Real-World Challenges for Data Stream Mining) workshop at ECMLPKDD'13
Co-Chair of DPADM (Discrimination and Privacy Aware Data Mining) workshop at ICDM'12
Co-Chair of HaCDAIS'11 workshop at ICDM'11 in Vancouver, Canada
Co-organizer of INFER-APS'11 workshop in Bournemouth, UK
Co-Chair of HaCDAIS'10 workshop at ECMLPKDD'10 in Barcelona, Catalonia, Spain
Co-organizer of DHDHD'10 workshop in Eindhoven, the Netherlands
Tutorials given
Advanced Topics in Data Stream Mining at ECMLPKDD'12
tutorialists: A. Bifet, J. Gama, R. Gavalda, G. Krempl, M. Pechenizkiy, B. Pfahringer, M. Spiliopoulou, I. Žliobaitė
Handling Concept Drift: Importance, Challenges and Solutions at PAKDD'11
tutorialists: A.Bifet, J.Gama, M. Pechenizkiy, I. Žliobaitė
Handling Concept Drift, in Medical Applications: Importance, Challenges and Solutions at CBMS'10
tutorialists: M. Pechenizkiy, I. Žliobaitė
Learning from Evolving data at ECMLPKDD'10
tutorialists: M. Spiliopoulou, J. Gama, E. Menasalvas, A. Vakali, guest speakers: M. Pechenizkiy, I. Žliobaitė
2018
Predictive modeling over evolutionary times at CS Forum, Aalto University slides
Teeth, diet and environment: some insights into why ecometrics works at Kurten Club, University of Helsinki
2017
Ecometrics: reconstructing climate of the past via teeth at University of Oslo
The Law of constant Extinction revisited at CEES Oslo
2016
Ecometrics beyond limits at Kurtén Club, University of Helsinki slides
2015
Adaptive learning from evolving data at CEES Oslo
How can decision making by algorithms discriminate people, and how to prevent that at Centre for Research Methods, University of Helsinki slides
Can algorithms discriminate? at EU Fundamental Rights Agency, Vienna, Austria slides
Can machines discriminate? and how to avoid that, HIIT seminar, Finland slides
Pitfalls to avoid in data analysis, Björn Kurtén Club, University of Helsinki
2014
Regression models for data streams with missing values, LIAAD-INESC TEC, Portugal
2013
Predictive modeling for streaming data, ENVI summer-seminar, University of Eastern Finland, Finland
Real-world challenges for mining streaming data:lessons learned in chemical industry, HIIT seminar, Finland
Mining Evolving Data Streams: challenges and lessons learned in chemical industry, King Abdullah University of Science and Technology, Saudi Arabia
2012
Towards implementation of an adaptive soft sensor, Evonik Industries, Germany
Active learning from evolving streaming data
LIAAD-INESC TEC, Portugal slides
University of Porto, faculty of Electrical engineering, Portugal
Adaptive learning from drifting data, University of Konstanz, Germany slides
2011
Active learning with evolving data, Eindhoven University of Technology, the Netherlands slides
Adaptive pre-processing for streaming data, Workshop on Recent Trends in Machine Learning and Data Mining at UPC Barcelona
Controlled Permutations for Testing Adaptive Classifiers
Bangor University, UK
The University of Birmingham, UK. slides
Katholieke Universiteit Leuven, Belgium. slides
University of Waikato, New Zealand. slides
2010
Computational Intelligence and Machine Learning Methods for Adaptive Prediction Systems, Bournemouth University, UK.
Learning with actionable attributes
TU Eindhoven slides
UPC Barcelona slides
University of Waikato, New Zealand slides
Learning from Evolving Data: an application perspective. Tutorial block with M.Pechenizkiy at ECML/PKDD. slides
Identifying hidden contexts. DHDHD workshop, TU Eindhoven. slides
Mokymas besikeičiančioje aplinkoje
Vilniaus universitetas, seminaras. slides
Matematikos ir informatikos institutas, seminaras.
Vytauto Didžiojo universitetas, seminaras.
2009
Training Instance Selection under Concept Drift
TU Eindhoven, invited talk. slides
Helsinki University of Technology (HUT), Statistical Machine Learning and Bioinformatics group, seminar.
2008
Pattern Recognition in the Presence of Concept Drift. Bangor University (UK), School of Computer Science, seminar. slides
2007
Pattern Recognition under Concept Drift. Druskininkai, Modern Data Mining Technologies, summer school.