If you made any changes in Pure these will be visible here soon.

Research Output

Filter
Conference contribution

Predictive analytics on evolving data streams anticipating and adapting to changes in known and unknown contexts

Pechenizkiy, M., 2015, 2015 International Conference on High Performance Computing & Simulation (HPCS'15, Amsterdam, The Netherlands, July 20-24, 2015). Piscataway: Institute of Electrical and Electronics Engineers, p. 658-659

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

1 Downloads (Pure)

Process mining online assessment data

Pechenizkiy, M., Trcka, N., Vasilyeva, E., Aalst, van der, W. M. P. & De Bra, P. M. E., 2009, Educational Data Mining 2009: 2nd International Conference on Educational Data Mining : proceedings [EDM'09], Cordoba, Spain. July 1-3, 2009. Barnes, T., Desmarais, M., Romero, C. & Ventura, S. (eds.). S.l.: International Working Group on Educational Data Mining, p. 279-288

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

Open Access
File
44 Citations (Scopus)
96 Downloads (Pure)

Provenance meets adaptive hypermedia

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. 93-98

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

1 Citation (Scopus)

Quantile index for gradual and abrupt change detection from CFB boiler sensor data in online settings

Maslov, A., Pechenizkiy, M., Kärkkäinen, T. & Tähtinen, M., 2012, Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data (SensorKDD'12, Beijing, China, August 12, 2012). New York: Association for Computing Machinery, Inc, p. 25-33

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

2 Citations (Scopus)
3 Downloads (Pure)

RBEM : a rule based approach to polarity detection

Tromp, 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. 8/1-9

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

4 Citations (Scopus)

Reducing dimensionality in multiple instance learning with a filter method

Zafra, A., Pechenizkiy, M. & Ventura, S., 2010, Hybrid Artificial Intelligence Systems (5th International Symposium, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part II). Corchado, E., Graña Romay, M. & Manhaes Savio, A. (eds.). Berlin: Springer, p. 35-44 (Lecture Notes in Computer Science; vol. 6077).

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

5 Citations (Scopus)

Search strategies for ensemble feature selection in medical diagnostics

Tsymbal, A., Cunningham, P., Pechenizkiy, M. & Puuronen, S., 2003, Proceedings 16th IEEE International Symposium on Computer-Based Medical Systems (CBMS'03, New York NY, USA, June 26-27, 2003). IEEE Computer Society, p. 124-129

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

18 Citations (Scopus)

SentiCorr: Multilingual sentiment analysis of personal correspondence

Tromp, E. & Pechenizkiy, M., 2011, Proceedings 11th IEEE International Conference on Data Mining (ICDM'11, Vancouver BC, Canada, December 11-14, 2011). Institute of Electrical and Electronics Engineers, p. 1247-1250

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

21 Citations (Scopus)

Sequential genetic search for ensemble feature selection

Tsymbal, A., Pechenizkiy, M. & Cunningham, P., 2005, IJCAI-05 (Proceedings 19th International Joint Conference on Artificial Intelligence, Edinburgh, UK, July 30-August 5, 2005). Kaelbling, L. P. & Saffiotti, A. (eds.). Professional Book Center, p. 877-882

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

18 Citations (Scopus)

Stress@Work: from measuring stress to its understanding, prediction and handling with personalized coaching

Bakker, J., Holenderski, L., Kocielnik, R. D., Pechenizkiy, M. & Sidorova, N., 2012, IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (Miami FL, USA, January 28-30, 2012). New York NY: Association for Computing Machinery, Inc, p. 673-677

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

39 Citations (Scopus)

Stress analytics in education

Kocielnik, R. D., Pechenizkiy, M. & Sidorova, N., 2012, Proceedings of the 5th International Conference on Educational Data Mining, EDM 2012 2012. Yacef, K., Zaïane, O. R., Hershkovitz, A., Yudelson, M. & Stamper, J. C. (eds.). p. 236-237

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

4 Citations (Scopus)
2 Downloads (Pure)

Stress detection from speech and galvanic skin response signals

Kurniawan, H., Maslov, A. & Pechenizkiy, M., 2013, Proceedings of the 26th IEEE Conference on Computer-Based Medical Systems (CBMS'13, Porto, Portugal, June 20-22, 2013). IEEE Computer Society, p. 209-214

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

72 Citations (Scopus)
1 Downloads (Pure)

Structural measures of clustering quality on graph samples

Zhang, J., Fletcher, G. H. L., Pei, Y. & Pechenizkiy, M., 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Piscataway: Institute of Electrical and Electronics Engineers, p. 345-348

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

7 Citations (Scopus)
2 Downloads (Pure)

Supervised human-guided data exploration

Oikarinen, E., Puolamäki, K., Khoshrou, S. & Pechenizkiy, M., 1 Jan 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (eds.). Springer, p. 85-101 17 p. (Communications in Computer and Information Science; vol. 1167 CCIS).

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

Open Access

Tailoring feedback in online assessment: Influence of learning styles on the feedback preferences and elaborated feedback effectiveness

Vasilyeva, E., Pechenizkiy, M., De Bra, P. M. E. & Puuronen, S., 2008, Proceedings 8th IEEE International Conference on Advanced Learning Technologies (ICALT 2008, Santander, Spain, July 1-5, 2008). Woolf, B. P., Aïmeur, E., Nkambou, R. & Lajoie, S. (eds.). Institute of Electrical and Electronics Engineers, p. 834-838

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

15 Citations (Scopus)

Tailoring of feedback in online assessment: Lessons learnt

Vasilyeva, E., De Bra, P. M. E. & Pechenizkiy, M., 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. 518-526

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

Tailoring of feedback in web-based learning : the role of response certitude in the assessment

Vasilyeva, E., Pechenizkiy, M. & De Bra, P. M. E., 2008, Intelligent Tutoring Systems (9th International Conference, ITS 2008, Montreal, Canada, June 23-27, 2008, Proceedings). Woolf, B. P., Aïmeur, E., Nkambou, R. & Lajoie, S. (eds.). Berlin: Springer, p. 771-773 (Lecture Notes in Computer Science; vol. 5091).

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

4 Citations (Scopus)

The challenge of feedback personalization to learning styles in a web-based learning system

Vasilyeva, E., Pechenizkiy, M. & Puuronen, S., 2006, Proceedings 6th IEEE International Conference on Advanced Learning Technologies (ICALT '06, Kerkrade, The Netherlands, July 5-7, 2006). IEEE Computer Society, p. 1143-1144

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

15 Citations (Scopus)

The impact of feature extraction on the performance of a classifier : kNN, Naïve Bayes and C4.5

Pechenizkiy, M., 2005, Advances in artificial intelligence : 18th conference of the canadian society for computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005 : proceedings. Kégl, B. & Lapalme, G. (eds.). Berlin: Springer, p. 268-279 (Lecture Notes in Computer Science; vol. 3501).

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

16 Citations (Scopus)

The impact of sample reduction on PCA-based feature extraction for supervised learning

Pechenizkiy, M., Puuronen, S. & Tsymbal, A., 2006, Proceedings 21st ACM Symposium on Applied Computing (SAC'06, Dijon, France, April 23-27, 2006). Haddad, H. (ed.). Association for Computing Machinery, Inc, p. 553-558

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

19 Citations (Scopus)

The influence of dataset size on the performance of cell outage detection approach in LTE-A networks

Chernov, S., Pechenizkiy, M. & Ristaniemi, T., 2015, 10th International Conference on Information, Communications and Signal Processing, ICICS 2015, 2-4 December 2015, Singapore. Piscataway: Institute of Electrical and Electronics Engineers, p. 1-5 5 p.

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

3 Citations (Scopus)

Tink: a temporal graph analytics library for Apache Flink

Fletcher, G. H. L., Pechenizkiy, M., Pei, Y. & Lightenberg, W., 23 Apr 2018, 27th International Conference on World Wide Web (WWW). Association for Computing Machinery, Inc, p. 71-72 2 p.

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

Open Access
File
5 Citations (Scopus)
25 Downloads (Pure)

Topological Insights into Sparse Neural Networks

Liu, S., van der Lee, T. T., Yaman, A., Atashgahi, Z., Ferrar, D., Sokar, G., Pechenizkiy, M. & Mocanu, D. C., 4 Jun 2020, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2020.. 17 p. 2006.14085

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

Open Access
File
7 Downloads (Pure)

Towards better understanding of circulating fluidized bed boilers : a data mining approach

Pechenizkiy, M., Tourunen, A., Kärkkäinen, T., Ivannikov, A. & Nevalainen, H., 2006, Proceedings ECML/PKDD Workshop on PRactical Data Mining (Berlin, Germany, September 22, 2006). Ackermann, M. (ed.). p. 80-83

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

Towards context aware food sales prediction

Zliobaite, I., Bakker, J. & Pechenizkiy, M., 2009, Proceedings of the 3rd International Workshop on Domain Driven Data Mining (DDDM'09, Miami FL, USA, December 6, 2009; in conjunction with IEEE ICDM'09). p. 94-99

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

11 Citations (Scopus)

Towards context aware food sales prediction (Extended abstract)

Zliobaite, I., Bakker, J. & 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. 449-450

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

1 Citation (Scopus)
1 Downloads (Pure)

Towards EDM framework for personalization of information services in RPM systems (Abstract)

Vasilyeva, E., Pechenizkiy, M., Tesanovic, A., Knutov, E., Verwer, S. E. & De Bra, P. M. E., 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. 331-332

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

Towards proximity tracking and sensemaking for supporting teamwork and learning

Martinez-Maldonado, R., Yacef, K., Dos Santos, A. D. P., Buckingham-Shum, S., Echeverria, V., Santos, O. C. & Pechenizkiy, M., 3 Aug 2017, 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT), 3-7 July 2017, Timisoara, Romania. Piscataway: Institute of Electrical and Electronics Engineers, p. 89-91 3 p. 8001727

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

5 Citations (Scopus)

Towards the framework of adaptive user interfaces for eHealth

Vasilyeva, E., Pechenizkiy, M. & Puuronen, S., 2005, Proceedings 18th IEEE International Symposium on Computer-Based Medical Systems (CBMS'05, Dublin, Ireland, June 23-24, 2005). IEEE Computer Society, p. 139-144

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

23 Citations (Scopus)

Towards the second order adaptation in the next generation remote patient management systems

Tesanovic, A., Manev, G., Pechenizkiy, M. & Vasilyeva, E., 2009, Proceedings of the Workshop on Personalisation for eHealth (Pers4eHealth'09, Verona, Italy, July 19, 2009; co-located with AIME'09). Grasso, F. & Paris, C. (eds.). p. 34-40

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

Open Access
File
29 Downloads (Pure)

Towards the stress analytics framework: Managing, mining, and visualizing multi-modal data for stress awareness

Kurniawan, H. & Pechenizkiy, M., 2014, 27th International Symposium on Computer-Based Medical Systems (CMBS'14, New York NY, USA, May 27-29, 2014). IEEE Computer Society, p. 541-542

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

2 Downloads (Pure)

Using cellular automata for feature construction - Preliminary study

Mertik, M., Pechenizkiy, M., Stiglic, G. & Kokol, P., 2007, Proceedings of the 2007 IEEE Digital Ecosystems and Technologies Conference (DEST 2007) 21-23 February 2007, Cairns, Australia. Piscataway, New Jersey, USA: IEEE Computer Society, p. 479-484

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

1 Downloads (Pure)

Using minimum description length for process mining

Calders, T. G. K., Günther, C. W., Pechenizkiy, M. & Rozinat, A., 2009, Proceedings of the 2009 ACM Symposium on Applied Computing (SAC 2009, Honolulu HI, USA, March 8-12, 2009). Shin, S. Y. & Ossowski, S. (eds.). New York NY: Association for Computing Machinery, Inc, p. 1451-1455

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

34 Citations (Scopus)

VANET meets deep learning: the effect of packet loss on the object detection performance

Wang, Y., Menkovski, V., Ho, I. W. H. & Pechenizkiy, M., 1 Apr 2019, 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 5 p. 8746657

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

4 Citations (Scopus)
3 Downloads (Pure)

Versioning in adaptive hypermedia

Knutov, E., De Bra, P. M. E. & Pechenizkiy, M., 2009, Proceedings of the 1st DAH'2009 Workshop on Dynamic and Adaptive Hypertext: Generic Frameworks, Approaches and Techniques (Torino, Italy, June 29, 2009; co-located with ACM Hypertext 2009). Aachen: CEUR-WS.org, p. 61-71 (CEUR Workshop Proceedings; vol. 473).

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

2 Citations (Scopus)
1 Downloads (Pure)

What's your current stress level? Detection of stress patterns from GSR sensor data

Bakker, J., Pechenizkiy, M. & Sidorova, N., 2011, Proceedings 11th IEEE International Conference on Data Mining (ICDM'11, Vancouver BC, Canada, December 11-14, 2011). Institute of Electrical and Electronics Engineers, p. 573-580

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

119 Citations (Scopus)
2 Downloads (Pure)

WiBAF into a CMS: personalization in learning environments made easy

Montes Garcia, A., Stash, N., Fabri, M., De Bra, P., Fletcher, G. H. L. & Pechenizkiy, M., 2016, UMAP 2016 Extended Proceedings. Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada, July 13-16, 2016. Cena, F., Desmarais, M., Dicheva, D. & Zhang, J. (eds.). CEUR-WS.org, p. 57-62 (CEUR Workshop Proceedings; vol. 1618).

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

5 Downloads (Pure)

Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07)

Beck, J. E., Calders, T., Pechenizkiy, M. & Viola, S. R., 2007, Proceedings of the 7th International Conference on Advanced Learning Technologies (ICALT 2007) 18-20 July 2007, Niigata, Japan. Spector, J. M., Sampson, D. G., Okamoto, T., Cerri, S. A., Ueno, M. & Kashihara, A. (eds.). Los Alamitos, California, USA: Institute of Electrical and Electronics Engineers, p. 933-934

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

1 Citation (Scopus)