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ACLAC : an approach for adaptive closed-loop anesthesia control

Marrero, A., Mendez, J. A., Maslov, A. & Pechenizkiy, M., 2013, Proceedings of the 26th IEEE Conference on Computer-Based Medical Systems (CBMS 2013, Porto, Portugal, June 20-22, 2013). Rodrigues, P. P., Pechenizkiy, M. & Gama, J. (eds.). Piscataway: IEEE Computer Society, p. 285-290

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Adaptation and search: from Dexter and AHAM to GAF

Knutov, E., De Bra, P. M. E. & Pechenizkiy, M., 2010, HT'10, Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (Toronto, Ontario, Canada, June 13-16, 2010). Chignell, M. H. & Toms, E. (eds.). New York NY: Association for Computing Machinery, Inc, p. 281-282

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Adaptation of elaborated feedback in e-learning

Vasilyeva, E., Pechenizkiy, M. & De Bra, P. M. E., 2008, Adaptive Hypermedia and Adaptive Web-Based Systems (5th International Conference, AH 2008, Hannover, Germany, July 29-August 1, 2008, Proceedings). Nejdl, W., Kay, J., Pu, P. & Herder, E. (eds.). Berlin: Springer, p. 235-244 (Lecture Notes in Computer Science; vol. 5149).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

13 Citations (Scopus)
1 Downloads (Pure)

Adaptation of feedback in e-learning systems at individual and group level

Vasilyeva, E., Pechenizkiy, M. & De Bra, P. M. E., 2007, Proceedings of the Workshop on Personalisation in E-Learning Environments at Individual and Group Level (PING 2007, in conjunction with the 11th International Conference on User Modeling), June 25-29 2007, Corfu, Greece. Brusilovsky, P., Grigoriadou, M. & Papanikolou, K. (eds.). Athens (Greece): University of Athens, p. 49-56

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Downloads (Pure)

Adaptive hypermedia systems analysis approach by means of the GAF framework

Knutov, E., De Bra, P. & Pechenizkiy, M., 2012, Proceedings of 2nd International Workshop on Dynamic and Adaptive Hypertext (DAH'2011, Eindhoven, The Netherlands, June 6, 2011). Pechenizkiy, M., Knutov, E., Yudelson, M., Abel, F., Houben, G. J. P. M. & Herder, E. (eds.). Aachen: CEUR-WS.org, p. 41-46 6 p. (CEUR Workshop Proceedings; vol. 823).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
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29 Downloads (Pure)

Adaptive Long-Term Ensemble Learning from Multiple High-Dimensional Time-Series

Khoshrou, S. & Pechenizkiy, M., 1 Jan 2019, Discovery Science 22nd International Conference, DS 2019, Proceedings. Kralj Novak, P., Džeroski, S. & Šmuc, T. (eds.). Springer, p. 511-521 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11828 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Adaptive web-based educational application for autistic students

Montes Garcia, A., Stash, N., Fabri, M., De Bra, P. M. E., Fletcher, G. H. L. & Pechenizkiy, M., 2016, Extended Proceedings of Hypertext 2016, Halifax, Canada. Koidl, K. & Steichen, B. (eds.). American Mathematical Society

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
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3 Citations (Scopus)
54 Downloads (Pure)

Adaptivity in GRAPPLE: Adaptation in any way you like (Poster)

De Bra, P. M. E., Smits, D., Pechenizkiy, M. & Vasilyeva, E., 2008, Proceedings of the World Conference on E-Learning in Corporate, Government, Healthcare & Higher Education (E-Learn 2008, Las Vegas NV, USA, November 17-21, 2008). Bonk, C. J. & et al., X. (eds.). Norfolk VA, USA: Association for the Advancement of Computing in Education, p. 3654-3659

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)

A DSL based on CSS for hypertext adaptation

Montes Garcia, A., De Bra, P. M. E., Fletcher, G. H. L. & Pechenizkiy, M., 2014, 25th ACM Conference on Hypertext and Social Media (HT'14, Santiago, Chile, September 1-4, 2014). New York NY: Association for Computing Machinery, Inc, p. 313-315

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
2 Downloads (Pure)

A framework for guiding the museum tour personalization

Pechenizkiy, M. & Calders, T., 2007, Proceedings of the Workshop on Personalized Access to Cultural Heritage (PATCH'07), 26 June 26, Corfu, Greece. Aroyo, L. M., Kuflik, T., Stock, O. & Zancanaro, M. (eds.). Athens (Greece): IIT, NCSR Demokritos, p. 11-28

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

AH 12 years later : a comprehensive survey of adaptive hypermedia methods and techniques (Extended abstract)

Knutov, E., De Bra, P. M. E. & Pechenizkiy, M., 2009, Proceedings 21st Benelux Conference on Artificial Intelligence (BNAIC'09, Eindhoven, The Netherlands, October 29-30, 2009). Calders, T., Tuyls, K. & Pechenizkiy, M. (eds.). p. 339-341

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)

A holistic framework for understanding acceptance of remote patient management (RPM) systems by non-professional users

Puuronen, S., Vasilyeva, E., Pechenizkiy, M. & Tesanovic, A., 2010, Proceedings of the 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS'10, Perth, Australia, October 12-15, 2010). Institute of Electrical and Electronics Engineers, p. 426-431

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
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1 Citation (Scopus)
181 Downloads (Pure)

Application of horizontal visibility graph as a robust measure of neurophysiological signals synchrony

Ahmadi, N. & Pechenizkiy, M., 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), 20-24 June 2016, Dublin, Ireland and Belfast, Northern Ireland. Piscataway: Institute of Electrical and Electronics Engineers, p. 273-278

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
1 Downloads (Pure)

Applying learning to rank techniques to contextual suggestions

Kiseleva, Y., Montes Garcia, A., Luo, Y., Kamps, J., Pechenizkiy, M. & De Bra, P., 2014, Text REtrieval Conference.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

A robust density-based clustering algorithm for multi-manifold structure

Zhang, J., Pechenizkiy, M., Pei, Y. & Efremova, J., 2016, The 31st ACM/SIGAPP Symposium on Applied Computing (SAC 2016), DM Track, 4-8 April 2016, Pisa, Italy. New York: Association for Computing Machinery, Inc, p. 832-838 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
2 Downloads (Pure)

Bias disparity in collaborative recommendation: algorithmic evaluation and comparison

Mansoury, M., Mobasher, B., Burke, R. & Pechenizkiy, M., 1 Jan 2019, Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019). Burke, R., Abdollahpouri, H. & Malthouse, E. (eds.). CEUR-WS.org, 7 p. 6. (CEUR Workshop Proceedings; vol. 2440).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
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42 Downloads (Pure)

BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints

Maslov, A., Pechenizkiy, M., Pei, Y., Zliobaite, I., Shklyaev, A., Karkkainen, T. & Hollmen, J., 30 Jun 2017, 2017 International Joint Conference on Neural Networks (IJCNN), 14-19 May 2017, Anchorage, Arkansas. Piscataway: Institute of Electrical and Electronics Engineers, p. 1916-1923 8 p. 7966085

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

BoostEMM : Transparent boosting using exceptional model mining

van der Zon, S. B., Zeev Ben Mordehay, O., Vrijdag, T. S., van Ipenburg, W., Veldsink, J., Duivesteijn, W. & Pechenizkiy, M., 2017, Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017), 18 September 2017, Skopje, Macedonia . Bordino, I., Caldarelli, G., Fumarola, F., Gullo, F. & Squartini, T. (eds.). p. 5-16 12 p. (CEUR Workshop Proceedings; vol. 1941).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
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22 Downloads (Pure)

Bridging navigation, search and adaptation : adaptive hypermedia models evolution

Knutov, E., De Bra, P. M. E., Smits, D. & Pechenizkiy, M., 2011, WEBIST 2011 - Proceedings of the 7th International Conference on Web Information Systems and Technologies (Noordwijkerhout, The Netherlands, May 6-9, 2011). Cordeiro, J. & Filipe, J. (eds.). SCITEPRESS-Science and Technology Publications, Lda., p. 314-321

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
1 Downloads (Pure)

Bridging recommendation and adaptation: generic adaptation framework - twittomender compliance study

Hannon, J., Knutov, E., De Bra, P. M. E., Pechenizkiy, M., McCarthy, K. & Smyth, B., 2012, Proceedings of 2nd International Workshop on Dynamic and Adaptive Hypertext (DAH'2011, Eindhoven, The Netherlands, June 6, 2011). Pechenizkiy, M., Knutov, E., Yudelson, M., Abel, F., Houben, G. J. P. M. & Herder, E. (eds.). CEUR-WS.org, p. 1-9 9 p. (CEUR Workshop Proceedings; vol. 823).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
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28 Citations (Scopus)
34 Downloads (Pure)

Bridging versioning and adaptive hypermedia in the dynamic web

Knutov, E., De Bra, P. M. E. & Pechenizkiy, M., 2010, Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization: Posters and Demonstrations (UMAP 2010, Big Island HI, USA, June 2-24, 2010). Bohnert, F. & Quiroga, L. M. (eds.). p. 13-15

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Open Access
File
33 Downloads (Pure)

Building classifiers with independency constraints

Calders, T. G. K., Kamiran, F. & Pechenizkiy, M., 2009, Proceedings ICDM'09 Workshop on Domain Driven Data Mining (Miami FL, USA, December 6, 2009). Institute of Electrical and Electronics Engineers, p. 13-18

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

80 Citations (Scopus)

Class association rules mining from students’ test data (Abstract)

Romero, C., Ventura, S., Vasilyeva, E. & Pechenizkiy, M., 2010, Educational Data Mining 2010 (3rd International Conference, Pittsburgh PA, USA, June 11-13, 2010. Proceedings). Baker, de, R. S. J., Merceron, A. & Pavlik Jr., P. I. (eds.). p. 317-318

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

12 Citations (Scopus)

Class noise and supervised learning in medical domains : the effect of feature extraction

Pechenizkiy, M., Tsymbal, A., Puuronen, S. & Pechenizkiy, O., 2006, Proceedings 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS'06, Salt Lake City UT, USA, June 22-23, 2006). IEEE Computer Society, p. 708-713

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

47 Citations (Scopus)

Clustering-structure representative sampling from graph streams

Zhang, J., Zhu, K., Pei, Y., Fletcher, G. & Pechenizkiy, M., 1 Jan 2018, Complex Networks and Their Applications VI : Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). Cherifi, C., Cherifi, H., Karsai, M. & Musulesi, M. (eds.). Dordrecht: Springer, p. 265-277 13 p. (Studies in Computational Intelligence; vol. 689).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)
1 Downloads (Pure)

Competitive advantage from data mining : some lessons learnt in the information systems field

Pechenizkiy, M., Puuronen, S. & Tsymbal, A., 2005, Database and Expert Systems Applications (Proceedings 16th International Workshop, DEXA'05, Copenhagen, Denmark, August 22-26, 2005). IEEE Computer Society, p. 733-737

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Context-aware personal route recognition

Mazhelis, O., Zliobaite, I. & Pechenizkiy, M., 2011, Discovery Science (14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings). Elomaa, T., Hollmén, J. & Mannila, H. (eds.). Berlin: Springer, p. 221-235 (Lecture Notes in Computer Science; vol. 6926).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)

Cross-lingual polarity detection with machine translation

Demirtaş, E. & Pechenizkiy, M., 2013, Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM'13, Chicago IL, USA, August 11, 2013; in conjunction with SIGKDD'13). New York NY: Association for Computing Machinery, Inc, p. 9/1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

23 Citations (Scopus)
1 Downloads (Pure)

CurriM : Curriculum mining

Pechenizkiy, M., Trcka, N., De Bra, P. M. E. & Toledo, P. A., 2012, Proceedings of the 5th International Conference on Educational Data Mining, EDM 2012 2012. Yacef, K., Zaiane, O. R., Hershkovitz, A. & Yudelson, M. (eds.). International Educational Data Mining Society (IEDMS), p. 216-217

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)
1 Downloads (Pure)

Data mining researcher, who is your customer? Some issues inspired by the information systems field

Puuronen, S., Pechenizkiy, M. & Tsymbal, A., 2006, Database and Expert Systems Applications (Proceedings 17th International Workshop, DEXA'06, Krakow, Poland, September 4-8, 2006). IEEE Computer Society, p. 579-583

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Data mining strategy selection via empirical and constructive induction

Pechenizkiy, M., 2005, Proceedings of the IASTED International Conference on Databases and Applications (DBA'05, Innsbruck, Austria, February 14-16, 2005). ACTA Press, p. 59-64

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Defining adaptation in a generic multi layer model: CAM: The GRAPPLE Conceptual Adaptation Model

Hendrix, M., De Bra, P. M. E., Pechenizkiy, M., Smits, D. & Cristea, A. I., 2008, Times of Convergence. Technologies across Learning Contexts (Third European Conference on Technology Enhanced Learning, EC-TEL 2008, Maastricht, September 18-19, 2008, Proceedings). Dillenbourg, P. & Specht, M. (eds.). Berlin: Springer, p. 132-143 (Lecture Notes in Computer Science; vol. 5192).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

23 Citations (Scopus)

Detection of alcoholism based on EEG signals and functional brain network features extraction

Ahmadi, N., Pei, Y. & Pechenizkiy, M., 10 Nov 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 22-24 June 2017, Thessaloniki, Greece. Bamidis, P. D., Konstantinidis, S. T. & Rodrigues, P. P. (eds.). Piscataway: Institute of Electrical and Electronics Engineers, p. 179-184 6 p. 8104182

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)

Dimensionality reduction for classification tasks modelling

Puuronen, S., Patterson, D. W., Tsymbal, A. & Pechenizkiy, M., 2002, Proceedings 43rd Scandinavian Conference on Simulation and Modelling (SIMS 2002, Oulu, Finland, September 26-27, 2002)). Juuso, E. & Yliniemi, L. (eds.). Finnish Society of Automation & Yleisjäljennös, p. 35-44

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Discovering temporal hidden contexts in web sessions for user trail prediction

Kiseleva, Y., Hoang, T. L., Pechenizkiy, M. & Calders, T. G. K., 2013, 22nd International Conference on World Wide Web Companion (WWW '13 Companion, Rio de Janeiro, Brazil, May 13-17, 2013). New York NY: Association for Computing Machinery, Inc, p. 1067-1074

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)

Discrimination aware decision tree learning

Kamiran, F., Calders, T. G. K. & Pechenizkiy, M., 2010, Proceedings of the 10th IEEE International Conference on Data Mining (ICDM, Sydney, Australia, December 14-17, 2010). Institute of Electrical and Electronics Engineers, p. 869-874

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

97 Citations (Scopus)

Diversity in random subspacing ensembles

Tsymbal, A., Pechenizkiy, M. & Cunningham, P., 2004, Data Warehousing and Knowledge Discovery (Proceedings 6th International Conference, DaWaK'04, Zaragoza, Spain, September 1-3, 2004). Kambayashi, Y., Mohania, M. K. & Wöß, W. (eds.). Berlin: Springer, p. 309-319 (Lecture Notes in Computer Science; vol. 3181).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

DOBRO : a prediction error correcting robot under drifts

Maslov, A., Lam, H. T., Pechenizkiy, M., Bouillet, E. & Kärkkäinen, T., 2016, SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing, 4-8 April 2016, Pisa, Italy. New York: Association for Computing Machinery, Inc, p. 945-948 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Dynamic and adaptive hypertext : generic frameworks, approaches and techniques (Workshop)

De Bra, P. M. E. & Pechenizkiy, M., 2009, HYPERTEXT 2009 (Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29-July 1, 2009). Cattuto, C., Ruffo, G. & Menczer, F. (eds.). p. 387-

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Dynamic integration of classifiers in the space of principal components

Tsymbal, A., Pechenizkiy, M., Puuronen, S. & Patterson, D. W., 2003, Advances in Databases and Information Systems (Proceedings 7th East European Conference, ADBIS 2003, Dresden, Germany, September 3-6, 2003). Kalinichenko, L. A., Manthey, R., Thalheim, B. & Wloka, U. (eds.). Berlin: Springer, p. 278-292 (Lecture Notes in Computer Science; vol. 2798).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)

Dynamic integration with random forests

Tsymbal, A., Pechenizkiy, M. & Cunningham, P., 2006, Machine Learning ECML 2006 : 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 : proceedings. Fürnkranz, J., Scheffer, T. & Spiliopoulou, M. (eds.). Berlin: Springer, p. 801-808 (Lecture Notes in Computer Science; vol. 4212).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

44 Citations (Scopus)

DyNMF: Role analytics in dynamic social networks

Pei, Y., Zhang, J., Fletcher, G. & Pechenizkiy, M., 1 Jan 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 3818-3824 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
7 Citations (Scopus)
2 Downloads (Pure)

Effectiveness of local feature selection in ensemble learning for prediction of antimicrobial resistance

Puuronen, S., Pechenizkiy, M. & Tsymbal, A., 2008, Proceedings 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS 2008, Jyväskylä, Finland, June 17-19, 2008). Institute of Electrical and Electronics Engineers, p. 632-637

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

eHealth personalization in the next generation RPM systems

Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E., 2009, Proceedings 22nd IEEE International Symposium on Computer-Based Medical Systems (CMBS 2009, Albuquerque NM, USA, August 2-5, 2009). Institute of Electrical and Electronics Engineers, p. 1-8

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

eHealth personalization in the next generation RPM systems (Extended abstract)

Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E., 2009, Proceedings 21st Benelux Conference on Artificial Intelligence (BNAIC'09, Eindhoven, The Netherlands, October 29-30, 2009). Calders, T., Tuyls, K. & Pechenizkiy, M. (eds.). p. 445-446

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Eigenvector-based feature extraction for classification

Tsymbal, A., Puuronen, S., Pechenizkiy, M., Baumgarten, M. & Patterson, D. W., 2002, Proceedings 15th International Florida Artificial Intelligence Research Society Conference (FLAIRS'02, Pensacola Beach FL, USA, May 14-16, 2002). Haller, S. M. & Simmons, G. (eds.). AAAI Press, p. 354-358

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

ELBA: Exceptional Learning Behavior Analysis

Du, X., Duivesteijn, W., Klabbers, M. D. & Pechenizkiy, M., 2018, Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018. p. 312-318

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
1 Citation (Scopus)
22 Downloads (Pure)

Ethics and privacy in EDM

Gasevic, D., Martin, T., Pardos, Z., Pechenizkiy, M., Stamper, J. & Zaiane, O., 2015, Proceedings of the 8th International Conference on Educational Data Mining, 26-29 June 2015, Madrid, Spain.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Explaining soccer match outcomes with goal scoring opportunities predictive analytics

Eggels, H., van Elk, R. & Pechenizkiy, M., 2016, Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016). CEUR-WS.org, 10 p. (CEUR Workshop Proceedings; vol. 1842).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
4 Citations (Scopus)
38 Downloads (Pure)

Fairness in network representation by latent structural heterogeneity in observational data

Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 2020, (Accepted/In press) Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review