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2020

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

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

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
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2019

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

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
File
40 Downloads (Pure)

ICIE 1.0: a novel tool for interactive contextual interaction explanations

van der Zon, S. B., Duivesteijn, W., van Ipenburg, W., Veldsink, J. & Pechenizkiy, M., 1 Jan 2019, ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Proceedings. Monreale, A. & Alzate, C. (eds.). Cham: Springer, p. 81-94 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11054 LNAI).

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

2 Downloads (Pure)

Infinite motif stochastic blockmodel for role discovery in networks

Pei, Y., Zhang, J., Fletcher, G. & Pechenizkiy, M., 27 Aug 2019, Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery, Inc, p. 456-459 4 p.

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

Joint role and community detection in networks via L2,1 norm regularized nonnegative matrix tri-factorization

Pei, Y., Fletcher, G. & Pechenizkiy, M., 27 Aug 2019, Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery, Inc, p. 168-175 8 p.

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

1 Citation (Scopus)

Learning with delayed synaptic plasticity

Yaman, A., Iacca, G., Mocanu, D. C., Fletcher, G. H. L. & Pechenizkiy, M., 13 Jul 2019, GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. New York: Association for Computing Machinery, Inc, p. 152-160 9 p.

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

Open Access
File
21 Downloads (Pure)

On improving deep learning generalization with adaptive sparse connectivity

Liu, S., Mocanu, D. & Pechenizkiy, M., 14 Jun 2019, ICML 2019 Workshop on Understanding and Improving General-ization in Deep Learning. 5 p. 1906.11626v1

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

Open Access
File
7 Downloads (Pure)

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

1 Citation (Scopus)
3 Downloads (Pure)
2018

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)

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
6 Citations (Scopus)
2 Downloads (Pure)

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)

Finding predictive EEG complexity features for classification of epileptic and psychogenic nonepileptic seizures using imperialist competitive algorithm

Ahmadi, N., Carrette, E., Aldenkamp, A. P. & Pechenizkiy, M., 20 Jul 2018, Proceedings - 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018. Piscataway: Institute of Electrical and Electronics Engineers, p. 164-169 6 p.

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

Open Access
File
3 Citations (Scopus)
77 Downloads (Pure)

Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution

Yaman, A., Mocanu, D. C., Iacca, G., Fletcher, G. & Pechenizkiy, M., 2 Jul 2018, GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 569-576 8 p.

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

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

Multi-strategy differential evolution

Yaman, A., Iacca, G., Coler, M., Fletcher, G. H. L. & Pechenizkiy, M., 4 Mar 2018, Applications of Evolutionary Computation: 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings. Sim, K. & Kaufmann, P. (eds.). Dordrecht: Springer, p. 617-633 17 p. (LNCS; vol. 10784).

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

2 Citations (Scopus)
1 Downloads (Pure)

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
4 Citations (Scopus)
18 Downloads (Pure)
2017

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
File
18 Downloads (Pure)

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)

Have it both ways : from A/B testing to A&B testing with exceptional model mining

Duivesteijn, W., Farzami, T., Putman, T., Peer, E., Weerts, H. J. P., Adegeest, J. N., Foks, G. & Pechenizkiy, M., 30 Dec 2017, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings. Ceci, M., Dzeroski, S., Malerba, D., Altun, Y., Das, K., Read, J., Zitnik, M., Stefanowski, J. & Mielikäinen, T. (eds.). Cham : Springer, p. 114-126 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10536 LNAI).

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

1 Citation (Scopus)
2 Downloads (Pure)

Health-related rumour detection on Twitter

Sicilia, R., Giudice, S. L., Pei, Y., Pechenizkiy, M. & Soda, P., 15 Dec 2017, Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Institute of Electrical and Electronics Engineers, Vol. 2017-January. p. 1599-1606 8 p.

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

4 Citations (Scopus)

How to capitalise on mobility, proximity and motion analytics to support formal and informal education?

Martinez-Maldonado, R., Echeverria, V., Yacef, K., Dos Santos, A. D. P. & Pechenizkiy, M., 2017, MMLA-CrossLAK 2017. CEUR-WS.org, p. 39-46 8 p. (CEUR Workshop Proceedings; vol. 1828).

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

Open Access
File
2 Citations (Scopus)
91 Downloads (Pure)

Modelling embodied mobility teamwork strategies in a simulation-based healthcare classroom

Martinez-Maldonado, R., Buckingham-Shum, S., Pechenizkiy, M., Power, T., Hayes, C. & Axisa, C., 9 Jul 2017, UMAP '17 Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 9-12 July 2017, Bratislava, Slovakia. New York: Association for Computing Machinery, Inc, p. 308-312 5 p.

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

2 Citations (Scopus)

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)
2016

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
File
2 Citations (Scopus)
53 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)

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)

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

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)
34 Downloads (Pure)

Finding incident-related social media messages for emergency awareness

Nieuwenhuijse, A., Bakker, J. & Pechenizkiy, M., 2016, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. Berendt, B., Bringmann, B., Fromont, E., Garriga, G., Miettinen, P., Tatti, N. & Tresp, V. (eds.). Dordrecht: Springer, p. 67-70 4 p.

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

Modelling recurrent events for improving online change detection

Maslov, A., Pechenizkiy, M., Žliobaite, I. & Kärkkäinen, T., 2016, 2016 SIAM International Conference on Data Mining (SDM16), 5-7 May 2016, Maimi, Florida. s.l.: Society for Industrial and Applied Mathematics (SIAM), p. 549-557

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

2 Citations (Scopus)

Node classification in dynamic social networks

Pei, Y., Zhang, J., Fletcher, G. H. L. & Pechenizkiy, M., 2016, Proceedings of AALTD 2016: 2nd ECMLPKDD International Workshop on Advanced Analytics and Learning on Temporal Data, 19 September 2016, Riva del Garda, Italy. p. 1-8

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

3 Downloads (Pure)

On structure preserving sampling and approximate partitioning of graphs

van Heeswijk, W., Fletcher, G. H. L. & Pechenizkiy, M., 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. 875-882

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

3 Citations (Scopus)
3 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)

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)
2015

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

Grand challenges for EDM and related research areas

Baker, R., Brusilovsky, P., Gasevic, D., Heffernan, N. T., Pechenizkiy, M. & Wise, A., 2015, 2015 SIAM International Conference on Data Mining (ICEDM 2015), 15-7 May 2015, Maimi, Florida.

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

Hippocrates : a context-aware, collaboration enabling search tool

Aravanis, G., Bucur, A. I. D. & Pechenizkiy, M., 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems (CBMS'15, São Carlos, Brazil, June 22-25, 2015). Brussels: IEEE Computer Society, p. 320-325

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

1 Citation (Scopus)

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)

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)
2014

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)

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

Hunting the unknown: White-box database leakage detection

Costante, E., Hartog, den, J. I., Petkovic, M., Etalle, S. & Pechenizkiy, M., 2014, Data and Applications Security and Privacy XXVIII (28th Annual IFIP WG 11.3 Working Conference, DBSec 2014, Vienna, Austria, July 14-16, 2014). Atluri, V. & Pernul, G. (eds.). Springer, p. 243-259 (Lecture Notes in Computer Science; vol. 8566).

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

10 Citations (Scopus)
5 Downloads (Pure)

Predicting current user intent with contextual Markov models

Kiseleva, J., Hoang, T. L., Pechenizkiy, M. & Calders, T. G. K., 2014, Sixth International Workshop on Domain-Driven Data Mining (DDDM'13, Dallas TX, USA, December 7, 2013; in conjunction with ICDM'13). Jiang, F. (ed.). IEEE Computer Society, p. 391-398

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

13 Citations (Scopus)

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)
2013

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)

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)

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)