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Research Output

2020

Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning

Järvelä, S., Gašević, D., Seppänen, T., Pechenizkiy, M. & Kirschner, P. A., 1 Jan 2020, (Accepted/In press) In : British Journal of Educational Technology.

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model

Deng, Y., Bucchianico, A. D. & Pechenizkiy, M., Apr 2020, In : Reliability Engineering and System Safety. 196, 10 p., 106727.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
2 Citations (Scopus)

EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features

Ahmadi, N., Pei, Y., Carrette, E., Aldenkamp, A. P. & Pechenizkiy, M., 1 Dec 2020, In : Brain Informatics. 7, 1, 22 p., 6.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Ensuring cybersecurity of smart grid against data integrity attacks under concept drift

Mohammadpourfard, M., Weng, Y., Pechenizkiy, M., Tajdinian, M. & Mohammadi-Ivatloo, B., Jul 2020, In : International Journal of Electrical Power and Energy Systems. 119, 9 p., 105947.

Research output: Contribution to journalArticleAcademicpeer-review

Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling

Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 2020, (Accepted/In press) In : Data Mining and Knowledge Discovery.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

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

Knowledge Elicitation using Deep Metric Learning and Psychometric Testing

Yin, L., Menkovski, V. & Pechenizkiy, M., 14 Apr 2020, In : arXiv.

Research output: Contribution to journalArticleAcademic

File

Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

Liu, S., Mocanu, D., Ramapuram Matavalam, A. R., Pei, Y. & Pechenizkiy, M., 6 Jul 2020, In : Neural Computing and Applications. 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
16 Downloads (Pure)

struc2gauss: Structural role preserving network embedding via Gaussian embedding

Pei, Y., Du, X., Zhang, J., Fletcher, G. & Pechenizkiy, M., 1 Jul 2020, In : Data Mining and Knowledge Discovery. 34, 4, p. 1072–1103 32 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

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
File
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

Adversarial balancing-based representation learning for causal effect inference with observational data

Du, X., Sun, L., Duivesteijn, W., Nikolaev, A. & Pechenizkiy, M., 30 Apr 2019, In : arXiv. 17 p., 1904.13335v1.

Research output: Contribution to journalArticleAcademic

40 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
File
40 Downloads (Pure)

Cluster-preserving sampling from fully-dynamic streaming graphs

Zhang, J., Zhu, K., Pei, Y., Fletcher, G. & Pechenizkiy, M., 1 May 2019, In : Information Sciences. 482, p. 279-300 22 p.

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
3 Downloads (Pure)

Effect of linear mixing in EEG on synchronization and complex network measures studied using the Kuramoto model

Ahmadi, N., Pei, Y. & Pechenizkiy, M., 15 Apr 2019, In : Physica A: Statistical Mechanics and its Applications. 520, p. 289-308 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
1 Downloads (Pure)

Evolving plasticity for autonomous learning under changing environmental conditions

Yaman, A., Mocanu, D., Iacca, G., Coler, M., Fletcher, G. & Pechenizkiy, M., 2019, In : arXiv. 26 p., 1904.01709v1.

Research output: Contribution to journalArticleAcademic

Open Access
File
16 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

Intrinsically sparse long short-term memory networks

Liu, S., Mocanu, D. & Pechenizkiy, M., 26 Jan 2019, In : arXiv. 9 p., 1901.09208v1.

Research output: Contribution to journalArticleAcademic

Open Access
File
22 Downloads (Pure)

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

A bounded-size clustering algorithm on fully-dynamic streaming graphs

Zhang, J., Pei, Y., Fletcher, G. & Pechenizkiy, M., 1 Sep 2018, In : Intelligent Data Analysis. 22, 5, p. 1039-1058 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Apriori versions based on MapReduce for mining frequent patterns on big data

Luna, J. M., Padillo, F., Pechenizkiy, M. & Ventura, S., Oct 2018, In : IEEE Transactions on Cybernetics. 48, 10, p. 2851-2865 15 p., 8052219.

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)

Assessment of visibility graph similarity as a synchronization measure for chaotic, noisy and stochastic time series

Ahmadi, N., Besseling, R. M. H. & Pechenizkiy, M., 1 Dec 2018, In : Social Network Analysis and Mining. 8, 1, 17 p., 47.

Research output: Contribution to journalArticleAcademicpeer-review

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

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)

Looking deeper into deep learning model: attribution-based explanations of TextCNN

Xiong, W., Ni'mah, I., Huesca, J. M. G., van Ipenburg, W., Veldsink, J. & Pechenizkiy, M., 8 Nov 2018. 9 p.

Research output: Contribution to conferencePaperAcademic

Open Access
File
20 Downloads (Pure)

Mining context-aware association rules using grammar-based genetic programming

Luna, J. M., Pechenizkiy, M., del Jesus, M. J. & Ventura, S., 1 Nov 2018, In : IEEE Transactions on Cybernetics. 48, 11, p. 3030-3044 15 p., 8049471.

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)

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)

Twitter rumour detection in the health domain

Sicilia, R., Lo Giudice, S., Pei, Y., Pechenizkiy, M. & Soda, P., 15 Nov 2018, In : Expert Systems with Applications. 110, p. 33-40 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)
2017

A white-box anomaly-based framework for database leakage detection

Costante, E., den Hartog, J., Petkovic, M., Etalle, S. & Pechenizkiy, M., 1 Feb 2017, In : Journal of Information Security and Applications. 32, p. 27-46 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)
9 Downloads (Pure)
Open Access
File
2871 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
File
18 Downloads (Pure)

Clustering-structure representative sampling from graph streams

Zhang, J., Zhu, K., Pei, Y., Fletcher, G. H. L. & Pechenizkiy, M., 2017.

Research output: Contribution to conferencePaperAcademic

Open Access
File
121 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)

The nutcracker framework for ensemble interpretability

Zeev Ben Mordehay, O., Duivesteijn, W. & Pechenizkiy, M., Oct 2017.

Research output: Contribution to conferencePosterAcademic

Open Access
File
53 Downloads (Pure)

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)