Invited Talks, Tutorials, Panels, Paper and Poster Presentations

2016

(upcoming) Towards Responsible Predictive Analytics, Invited talk at IBM Ireland Research Lab, Dublin, Ireland (May 2016)

(upcoming) Predictive Analytics that Works!?, Invited talk at the Workshop on Data Mining for Medicine and Healthcare (DMMH@SDM’16), Miami, USA (May 2016)

(upcoming) Modelling Recurrent Events for Improving Online Change Detection, SIAM Data Mining (SDM’16), Miami, USA (May 2016)

Predictive Analytics that Works!?, Invited seminar talk at the School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, UK (April 2016)

On structure preserving sampling and approximate partitioning of graphs, ACM SAC’16, Pisa, Italy (April 2016)

 

2015

Ethics-awareness and Accountability in Predictive Analytics, Invited seminar talk at the Institute for Adaptive and Neural Computation, University of Edinburgh, UK (November 2015)

Grand Challenges in Predictive Analytics, Invited talk at AI Ukraine 2015, Kharkov (September 2015)

Data-Driven Education and Ethics-Aware Learning Analytics, Invited talk at Big Data: Educational Analytics Research Methods workshop, University of Tampere, Finland (August 2015)

Predictive Analytics on Evolving Data Streams: Anticipating and Adapting to Changes in Known and Unknown Contexts, Invited talk at HPCS 2015 Data mining track, Amsterdam (July 2015)

Fairness, Accountability, and Transparency in Machine Learning ICML 2015 Workshop Panel, Lille, France (July 2015)

Grand Challenges in Educational Data Mining, Invited talk at Machine Learning for Education ICML 2015 Workshop, Lille, France (July 2015)

Grand Challenges in Predictive Analytics for EDM, Grand Challenges in EDM and Related Research Areas Panel at EDM 2015, Madrid, Spain (June 2015)

Ethics-aware Educational Data Mining, Privacy and Ethics in EDM Panel at EDM 2015, Madrid, Spain (June 2015)

2014

Ethics-aware Learning Analytics, IRB and Big Data NSF Workshop, George Masson University, USA (November 2014)

Predictive Analytics for Data-Driven Education: Knowledge Discovery and Process Mining Perspectives, SIAT, Simon Fraser University, Canada (August 2014)

Putting Tweets on Plutchik’s Wheel: Rule-based Sentiment and Emotion Detection on Social Media, AICML, University of Alberta, Edmonton, Canada (July 2014)

Multi-modal Affective Data Analytics, AI Seminar, Department of Computing Science, University of Alberta, Edmonton, Canada (July 2014)

Context Aware Predictive Analytics for Web Personalization, Facebook, Menlo Park. CA (July 2014)

Data Analytics and Learning MOOC: Voices From The Field, 2nd Learning Analytics Summer Institutes (LASI 2014), Harvard Graduate School of Education, Cambridge, MA (July 2014)

Learning to Teach Like a Bandit. Poster at Educational Data Mining (EDM 2014), London, UK (July 2014)

Changing the Face of Predictive Analytics for Data-Driven Education. Invited talk at Search Labs, Microsoft Research, Mountain View, CA, USA (June 2014)

From A/B Testing to Personalization with Uplift Predictors. MOOCLets seminar talk, Barnum Center, Stanford University, CA, USA (June 2014)

Potential, Dangers and Next Challenges in Educational Data Mining and Learning Analytics. Learning Analytics Seminar talk, Teachers College, University of Columbia, NYC, USA (May 2014)

Context Discovery & Context Integration in Predictive Web Analytics. Stern School of Business, New York University, NYC, USA (May 2014)

Predictive Analytics under Concept Drift. Guest lecture at the Faculty of Information Technology, University of Jyväskylä, Finland  (April 2014)

Theory and Practice of Handling Concept Drift in Predictive Analytics. Invited talk at Knowledge Discovery and Intelligent Systems research group, University of Cordoba (January 2014)

State-of-the-art, Recent Trends and Next Challenges in Concept Drift Research. Invited talk at the Colloquium series on Machine Learning, Pattern Recognition, and Computer Vision, TU Delft (January 2014)

2013

Getting Ready for Change: Handling Concept Drift in Predictive Analytics. Invited talk at Microsoft Research Redmond, WA, USA (December 2013)

Context-Aware Predictive Web Analytics. Lunch talk at CLUES, Microsoft Research Redmond, WA, USA (December 2013)

Predicting Current User Intent with Contextual Markov Models. Domain Driven Data Mining, DDDM@ICDM’2013, Dallas, USA (December 2013)

Context-Aware Predictive Analytics. Data Science Center Eindhoven (DSC/e) Launch Symposium, TU Eindhoven (December 2013)

Microblogging Social Networks: Applications and Analysis. Data Science Center Eindhoven (DSC/e) Launch Symposium, TU Eindhoven (December 2013)

Making Affective Data Analytics Accessible for All. Invited talk at Machine Learning Summer School “Learning with Big Data”, Hammamet, Tunisia (September 2013)

Computational Advertising. Tutorial at Machine Learning Summer School “Learning with Big Data”, Hammamet, Tunisia (September 2013)

Cross-lingual Polarity Detection with Machine Translation, Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM@KDD2013), Chicago, USA (August 2013)

Predictive Web Analytics. Invited talk at Healthcare Information Management forum, Philips Research, Eindhoven, the Netherlands (July 2013)

Predictive Web Analytics. All models are wrong, but which ones are useful? Invited talk at LIAAD, University of Porto, Portugal (June 2013)

Stress Detection from Speech and Galvanic Skin Response Signals. The 26th IEEE Symposium on Computer Based Medical Systems (IEEE CBMS’2013), Porto, Portugal (June 2013)

Predictive Analytics: Insights on Internals and Pitfalls to Avoid. Invited talk at the Next Generation Data Analytics Workshop, Amsterdam, the Netherlands (June 2013)

Modeling Intents of Web Site Visitors. Invited talk at HIIT seminar, Aalto University, Helsinki, Finland (June 2013)

Getting Ready for Change: Towards More Accurate, Reactive & Proactive Predictive Analytics. Public lecture at the Faculty of Information Technology, University of Jyväskylä, Finland  (May 2013)

2012

Engineering Sentiment Analytics with Multimodal Affective Data. Invited talk at the First International Workshop on Sentiment Discovery from Affective Data (SDAD 2012 @ ECMLPKDD2012), Bristol, UK (September 2012)

Engineering Stress Analytics: Towards Intelligent Analysis of Multimodal Affective Data. Information Systems colloquium (IE&IS/IS - W&I/IS), TU/e, Eindhoven (July 2012)

Advanced Topics in Data Stream Mining. ECMLPKDD 2012 tutorial, Bristol, UK (September 2012)

Engineering Context Aware Predictive Analytics: Motivation, Potential, Challenges. University of San Cristóbal de La Laguna, Tenerife, Spain (May 2012)

Stess@Work: from measuring stress to its understanding, prediction and handling with personalized coaching. ACM International Health Informatics Symposium (IHI 2012), Miami, USA (January 2012)

2011

What's your current stress level? Detection of stress patterns from GSR sensor data. (HaCDAIS @ ICDM’2011) Vancouver, Canada (December 2011)

SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence. (Demo @ ICDM’2011) Vancouver, Canada (December 2011)

Stress@work: From Stress Measurement to Understanding the Stressors. University of Portsmouth, UK (November 2011)

Context Aware Predictive Analytics: Motivation, Potential, Challenges. University of Bournemouth, UK (October 2011)

Context-aware personal route recognition. The 14th International Conference on Discovery Science (DS 2011), Porto, Portugal (October 2011)

Handling Concept Drift: Importance, Challenges and Solutions. Tutorial at the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2011), Shenzhen, China (May 2011)

Educational Data Mining & Learning Analytics for All: Potential, Dangers, Challenge. Learning Analytics Seminar, Utrecht, the Netherlands (August 2011)

2010

Learning with Actionable Attributes: Learning to Effectively Help Those Who Need Help.  University of Sydney, Australia (December 2010)

Heart Failure Hospitalization Prediction in Remote Patient Management Systems. The 24th IEEE Symposium on Computer Based Medical Systems (IEEE CBMS’2010), Perth, Australia (October 2010)

Handling Concept Drift in Medical Applications: Importance, Challenges and Solutions. Tutorial at the 24th IEEE Symposium on Computer Based Medical Systems (IEEE CBMS’2010), Perth, Australia (October 2010)

Dealing with Concept Drift in Adaptive Information Systems. “Learning from Evolving Data” tutorial block at ECML/PKDD 2010, Barcelona, Spain, (September 2010)

Handling Concept Drift: An Application Perspective. DHDHD 2010 Workshop, TU/e, Eindhoven  (September 2010)

Towards EDM framework for Personalization of Information Services in RPM Systems (poster) The 3rd International Conference on Educational Data Mining (EDM’2010), Pittsburg, USA (July 2010)

2009

Context-aware prediction in the wild: lessons learnt from case studies. Information Systems colloquium (IE&IS/IS - W&I/IS), TU/e, Eindhoven (October 2009)

OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers. The 12th International Conference on Discovery Science (DS’09), Porto, Portugal (October 2009)

Process Mining the Student Assessment Data.  (poster) The 2nd International Conference on Educational Data Mining (EDM’09), Cordoba, Spain (July 2009)

Online Mass Flow Prediction in CFB Boilers. The 9th Industrial Conference on Data Mining (ICDM’09), Leipzig, Germany (July 2009)

Handling Outliers and Concept Drift in Online Mass Flow Prediction in CFB Boilers. The 3rd International Workshop on Knowledge Discovery from Sensor Data (SensorKDD-2009), Paris, France (June 2009)

Food Sales Prediction: “If Only It Knew What We Know”. The 2nd International Workshop on Domain Driven Data Mining (DDDM’08 at IEEE ICDM 2008), Pisa, Italy (December 2009)

2008

Educational Data Mining, Full day tutorial at Open University, Heerlen, the Netherlands, (December 2008)

The Cross-Roads of Data Mining, Adaptive Systems and E-Learning. Philips High Tech Campus, Eindhoven, the Netherlands (August 2008)

Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study. (poster) The 1st International Conference on Educational Data Mining (EDM’08), Montreal, Canada (June 2008)

Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. The 21st IEEE Symposium on Computer Based Medical Systems (IEEE CBMS’08, Data Mining Track), Jyväskylä, Finland (June 2008)

Educational Data Mining Frontiers. Education Day (Faculty of Electrical Engineering, TU/e), Turnhout, Belgium (May 2008)

MDL Principle in Process Models Evaluation. Spring Workshop on Mining and Learning (SML’08), Traben-Trarbach, Germany (April 2008)

2007

Facets of Concept Drift Problem in Adaptive Information Systems. LIAAD/LIACC Seminar, University of Porto, Portugal (October 2007)

A Framework for Guiding the Museum Tour Personalization. Personalization Enhanced Access to Cultural Heritage (PATCH’07) Workshop at UM’2007, Corfu, Greece

Handling Concept Drift in Adaptive Information Systems. The GOOD-dag 2007, Hingene, Bornem, Belgium

2006

Random Forest with Dynamic Integration of Trees. (poster) The 17th European Conf. on Machine Learning (ECML/PKDD'06), Berlin, Germany

Towards Better Understanding of Circulating Fluidized Bed Boilers: a Data Mining Approach. (poster) The 2nd Workshop on Practical Data Mining: Applications, Experiences and ChallengesDMBiz’06 (ECML/PKDD’06), Berlin, Germany

Dynamic Integration of Classifiers for Handling Concept Drift. The 19th IEEE Symposium on Computer Based Medial Systems (IEEE CBMS’06, Data Mining Track), Salt Lake City, Utah, USA 2006

Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction. The 19st IEEE Symposium on Computer Based Medial Systems (IEEE CBMS’06, Data Mining Track), Salt Lake City, Utah, USA 2006

The Impact of Sample Reduction on PCA-based Feature Extraction for Supervised Learning. The 21st ACM Symposium on Applied Computing (ACM SAC’06, Data Mining Track), Dijon, France, 2006

2002-2005

Feature Extraction for Supervised Learning in Knowledge Discovery Systems. PhD thesis public examination, Agora, Aud. 2, JYU, Jyväskylä, 12:00, December 20, 2005

Why Data Mining Does Not Contribute to Business? Data Mining for Business Workshop (DMBiz) as part of the 16th European Conference on Machine Learning (ECML) and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), and Porto, Portugal, 2005

On Combining Principal Components with Parametric LDA-based Feature Extraction for Supervised Learning. ADBIS Workshop on Data Mining and Knowledge Discovery, Tallinn, Estonia, 2005

Competitive advantage from Data Mining: Lessons learnt in the Information Systems field. (Invited paper) Int. DEXA’05 Workshop on Philosophies and Methodologies for Knowledge Discovery PMKD’05, Copenhagen, Denmark, 2005

Knowledge Management Challenges in Knowledge Discovery Systems. Int. DEXA’05 Workshop on Theory and Applications of Knowledge Management TAKMA’05, Copenhagen, Denmark, 2005

Sequential Genetic Search for Ensemble Feature Selection. The 19th International Joint Conference on Artificial Intelligence IJCAI-05, Edinburgh, UK, 2005

Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. The 18th IEEE Int. Symposium on Computer-Based Medical Systems CBMS 2005, Dublin, Ireland, 2005

The Impact of Feature Extraction on the Performance of a Classifier: kNN, Na‹ve Bayes and C4.5. The 18th CSCSI Conference on Artificial Intelligence AI’05, Victoria, Canada, 2005

Knowledge Discovery from Microbiology Data: Many-sided Analysis of Antibiotic Resistance in Nosocomial Infections. The 3rd Conference Professional Knowledge Management, Current Aspects of Knowledge Management in Medicine Workshop KMM’05, Kaiserslautern, Germany, 2005

Data Mining Strategy Selection via Empirical and Constructive Induction. The 23rd International Conference on Applied Informatics, Innsbruck, Austria, 2005

The Iterative and Interactive Data Mining Process: The Information Systems Development and Knowledge Management Perspectives. The 4th IEEE Int. Conf on Data Mining ICDM’04, 3rd Foundation of Data Mining Workshop, Brighton, UK, 2004 

On the Use of Information Systems Research Methods in Data Mining. The 13th Int. Conf. On Information Systems Development, Vilnius, Lithuania, 2004

Meta-Knowledge Management in Multistrategy Process-Oriented Knowledge Discovery Systems. The 13th Int. Conf. On Information Systems Development, Vilnius, Lithuania, 2004

Feature Extraction for Classification in Knowledge Discovery Systems. The 7th Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems KES’03, University of Oxford, United Kingdom, 2003

Feature Extraction for Classification in the Data Mining Process. The 10th Int. Conf. Knowledge-Dialogue-Solution KDS’03, Varna, Bulgaria, 2003

PCA-based Feature Extraction for Classification. Northern Ireland Knowledge Engineering Laboratory, University of Ulster, Belfast, Northern Ireland, UK, 2002

 

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