Scientific publications

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K. Van Vaerenbergh, T.Tourwé,Distributed data compression for edge devices. In 1st Distributed AI for Resource-Constrained Platforms (DARE) workshop, 17th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2021), IFIP AICT 628, pp. 293–304, June 2021. 

A. Rath, A.Hristoskova, S. Klein,PFilter: Privacy-aware and secure data filtering at the edge for distributed edge analytics. In 1st Distributed AI for Resource-Constrained Platforms (DARE) workshop, 17th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2021), IFIP AICT 628, pp. 305–310, June 2021. 

A.Hristoskova, N. González-Deleito, S. Klein, J. Sousa, N. Martins, J. Tagaio, J. Serra, C. Silva, J. Ferreira, P.M. Santos, R. Morla, L. Almeida, B. Bulut, S. Sultanoğlu, An Initial Analysis of the Shortcomings of Conventional AI and the Benefits of Distributed AI Approaches in Industrial Use Cases. In 1st Distributed AI for Resource-Constrained Platforms (DARE) workshop, 17th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2021), IFIP AICT 628, pp. 281–292, June 2021. 

P. Dagnely, P.Van Hese, T. Tourwé, E. Tsiporkova, (2020). Assessing long term degradation of industrial assets based on their production output curves. In 21th Industrial Conference on Data Mining ICDM 2021. 

M.Dhont, E.Tsiporkova, V.Boeva. Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines. Energies, special issue: Wind Turbine Monitoring through Operation Data Analysis, 2021.

M.Dhont, E.Tsiporkova, V.Boeva. Performance Profiling of Operating Modes via Multi-View Analysis Using Non-Negative Matrix Factorisation. Springer-Verlag, Recent Advancements in Multi-View Data Analytics, 2021.

M.Tabassian, R. Verbeke, T.Tourwé , E.Tsiporkova, Data-Driven Divide-and-Conquer for Estimating Build Times of 3D Objects, In 21th IEEE International Conference on Data Mining (ICDM), 20201 (submitted).  

S. Klein, M. Verbeke, An unsupervised methodology for online drift detection in multivariate industrial datasets, 2020 International Conference on Data Mining Workshops (ICDMW), Sorrento, Italy, 2020, pp.392-399, doi: 10.1109/ICDMW51313.2020.00061. 

J. Maeyens, A. Vorstermans, M. Verbeke. Process mining on machine event logs for profiling abnormal behaviour and root cause analysis. Ann Telecommun. (2020), 75 (9), pp. 563-572. https://doi.org/10.1007/s12243-020-00809-9

V. Manasa Devagiri, V. Boeva, E. Tsiporkova, Split-Merge Evolutionary Clustering for Multi-View Streaming Data, 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES 2020. 

M. Dhont, R. Verbeke, C. Droutsas, V. Boeva, M. Verbeke, A. Murgia, E. Tsiporkova, Advanced exploration of wind fleet data through operating mode labelling, Renewable Energy Sources - Research and Business (RESRB) 2020, Brussels, Belgium, 2020 (abstract)

A. Murgia, H. Cabral, C.Droutsas, T. Tourwé, M. Verbeke,P. Dagnely, E. Tsiporkova, A data-driven methodology for the characterization of performance decay in ageing wind turbines, Renewable Energy Sources - Research and Business (RESRB) 2020, Brussels, Belgium, 2020 (abstract)

H. Cabral, T. Tourwé , E. Tsiporkova & W. Aerts. A Data-driven Methodology to Characterize the Dynamic Pattern of Human Motion Based on Plantar Pressure Measurements. Proceedings of 2020 IEEE 10th International Conference on Intelligent Systems, 2020. 

M. Dhont, E. Tsiporkova & V. Boeva. Layered Integration Approach for Multi-view Analysis of Temporal Data. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2020. Lecture Notes in Computer Science, vol 12588. Springer, Cham. https://doi.org/10.1007/978-3-030-65742-0 10 

M. Dhont, E. Tsiporkova, T. Tourwé & N. González-Deleito. Visual Analytics for Extracting Trends from Spatio-temporal Data. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, workshop on Advanced Analytics and Learning on Temporal Data. AALTD 2020. Lecture Notes in Computer Science, vol 12588. Springer, Cham. https://doi.org/10.1007/978-3_030-65742-0 9 

A. Murgia, E. Tsiporkova,M. Verbeke, & T. Tourwé. Context-Aware Performance Benchmarking of a Portfolio of Industrial Assets. In Archives of Data Science, Series A. Volume 5, Issue 1. DOI: 10.5445/KSP/1000087327/17

P. Dagnely, T. Ruette,T. Tourwé, & E. Tsiporkova, (04-03-2020). Semantically Enriched Multi-level Sequential Pattern Mining for Exploring Heterogeneous Event Log Data. In Intelligent Systems: Theory, Research and Innovation in Applications (pp. 203-222). Springer, Cham.

V. Boeva, M. Angelova, V. Manasa Devagiri, E. Tsiporkova. Bipartite Split-Merge Evolutionary Clustering, J. van den Herik et al. (Eds.): ICAART 2019, Springer Nature book: Agents and Artificial Intelligence, LNAI 11978 no. 11 (2019) 205-223 DOI:10.1007/978-3-030-37494-5_11

P. Dagnely, T. Tourwé, & E. Tsiporkova, (2019). Industrial Assets Performance Labelling Based on Numerically Encoded Event Logs. Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019.

M. Van Herreweghe, M. Verbeke, W. Meert, T. Jacobs (2019). A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes. Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019.

V. Boeva, M. Angelova, V. Manasa Devagiri, E. Tsiporkova. Patient Profiling Using Evolutionary Clustering. ACM Celebration of Women in Computing: womENcourage 2019 (Rome, Italy, 16-18 September 2019).

P. Dagnely, (2019). Scalable Performance Assessment of Industrial Assets: A Data Mining Approach (Unpublished doctoral dissertation). Université libre de Bruxelles, Ecole polytechnique de Bruxelles – Informatique, Bruxelles. Published on 21 June 2019.

V. Boeva, M. Angelova, V. Manasa Devagiri, E. Tsiporkova. A Split-Merge Framework for Evolutionary Clustering, 31th Swedish AI Society Workshop SAIS 2019 (Umeå, Sweden, June 18-19, 2019). https://sais2019.cs.umu.se/wp-content/uploads/2019/06/SAIS_2019_paper_1.pdf

M. Van Herreweghe, M. Verbeke, W. Meert, T. Jacobs. A Machine Learning-Based Approach for Predicting Tool Wear in Industrial Milling Processes. In: R. Ribeiro, A. Biffet, J. Gama, A. Holst, S. Pashami (eds) ECML/PKDD 2019 Workshop on IoT Stream for Data Driven Predictive Maintenance (2019)

V. Boeva, M. Angelova, and E. Tsiporkova.A Bipartite-Graph Based Approach for Split-Merge Evolutionary Clustering. European Conference on Data Analysis ECDA 2019, Book of Abstracts. (Bayreuth, Germany, March 18-20, 2019), page 18. 

V. Boeva, M. Angelova, and E. Tsiporkova.A Split-MergeEvolutionary Clustering Algorithm.11th International Conference on Agents and Artificial IntelligenceICAART 2019, (Prague, Czech Republic, February 19-21, 2019), vol 2, pages 337-346.

P. Dagnely, T. Tourwé, and E. Tsiporkova. Event relevancy pruning in support of energy efficient sequential pattern mining. In: Alzate C. et al. (eds) ECML PKDD 2018 Workshops. ECML PKDD 2018. Lecture Notes in Computer Science, vol 11329, pages 227-242. Springer, Cham.

J. Maeyens, A. Vorstermans, and M. Verbeke.Process Mining on Machine Event Logs for Profiling Abnormal Behavior and Root Cause Analysis. European Conference on Data Analysis ECDA 2018, Book of Abstracts. (Paderborn, Germany, July 4-6), 2018, pages 39-40.

A. Murgia, E. Tsiporkova,M. Verbeke, and T. Tourwé. Context-Sensitive Performance Benchmarking of a Portfolio of Industrial Assets. European Conference on Data Analysis ECDA 2018, Book of Abstracts. (Paderborn, Germany, July 4-6), 2018, page 32.

V. Boeva, M. Angelova, N. Lavesson, O. Rosander, and E. Tsiporkova. Evolutionary clustering techniques for expertise mining scenarios. Proceedings of the 10th International Conference on Agents and Artificial Intelligence ICAART 2018, Volume 2. (Funchal, Portugal, January 16-18, 2018), pages 523-530.

M. Van Lancker, A. Vorstermans, and M. Verbeke. Customer Profiling based on Electronic Payment Transaction Data. Proceedings of the 29th Benelux Conference on Artificial Intelligence BNAIC 2017. (Groningen, Netherlands, 8-9 Nov 2017), pages 427-428.

V. Boeva, M. Angelova, and E. Tsiporkova. Identifying Subject Experts through Clustering Analysis.Proceeding of the Annual Machine Learning Conference of the Benelux Benelearn 2017 (Eindhoven, Netherlands, June 9-10, 2017), pages 95-97.

V. Boeva, M. Angelova, and E. Tsiporkova. Data-Driven Techniques for Expert Finding.Proceedings of the 9th International Conference on Agents and Artificial Intelligence ICAART 2017 (Porto, Portugal, February 24-26, 2017), pages 535-542.

V. Boeva, M. Angelova, L. Boneva, and E. Tsiporkova. Identifying a Group of Subject Experts Using Formal Concept Analysis. Proceedings of the 8th IEEE International Conference on Intelligent Systems IS’16 (Sofia, Bulgaria, 4-6 September 2016), pages 464-469.

P. Dagnely, E. Tsiporkova, T. Tourwé, T. Ruette, K. De Brabandere, and F. Assiandi. A Semantic Model of Events for Integrating Photovoltaic Monitoring Data.Proceedings of the 13thIEEE International Conference on Industrial Informatics, INDIN 2015 (Cambridge, United Kingdom, July 22-24), pages 24-30.

P. Dagnely, T. Ruette, T. Tourwé, E. Tsiporkova,and C. Verhelst. Predicting Hourly Energy Consumption. Can Regression Modeling Improve on an Autoregressive Baseline? Lecture Notes in Computer Science, 9518 (2015), pages 105-122.

P. Dagnely, E. Tsiporkova, T. Tourwé, T. Ruette, and C. Verhelst. Predicting hourly energy consumption. Can you beat an autoregressive model?Proceedings of the 24thAnnual Machine Learning Conference of Belgium and the Netherlands, Benelearn 2015 (Delft, Netherlands, June 19).

V. Boeva, E. Tsiporkova, and E. Kostadinova. Analysis of Multiple DNA Microarray Datasets.Springer Handbook of Bio and Neuroinformatics, Springer (2014), pages 223-234.

V. Boeva, L. Boneva, and E. Tsiporkova. Semantic-aware Expert Partitioning. Lecture Notes in Computer Science, 8722 (2014), pages 13-24.

E. Tsiporkova, A. Hristoskova, T. Tourwé, and T. Stevens. Semantic Modelling in Support of Adaptive Multimodal Interface Design. Lecture Notes in Computer Science “Human-Computer Interaction – INTERACT 2013”, 8120 (2013), pages 627-634.

N. González-Deleitoand E. Tsiporkova. Emergencia: Pro-Active Decision Support for Emergency Coordination through Actionable Emergency Plans.Proceedings ofthe IEEE 11thInternational Conference on Industrial Informatics, INDIN 2013 (Bochum, Germany, July 29-31, 2013).

F.Ongenae, A.Hristoskova, E.Tsiporkova,T.Tourwé, and F.De Turck.Context-aware processing of multi-modal information in support of pro-active decision making during emergency events.Proceedings ofthe 10thInternational Conference on Information Systems for Crisis Response and Management, ISCRAM 2013 (Baden-Baden, Germany, May 12-15, 2013).

N. González-Deleito, E. Tsiporkova, and J. Dedecker. Emergencia: A Decision Support Tool for Coordinating Emergency Situations.Proceedings ofthe 10thInternational Conference on Information Systems for Crisis Response and Management, ISCRAM 2013 (Baden-Baden, Germany, May 12-15, 2013).

N. Ferreira, S. Geldof, T. Stevens, T. Tourwé, and E. Tsiporkova. Patterns for HMI design of multi-modal, real-time, proactive systems. Proceedings of the IUI 2013 Workshop on Interacting with Smart Objects (Santa Monica, CA, USA, March 19, 2013).

N. Lavesson, V. Boeva, E. Tsiporkova, and Paul Davidsson. A method for evaluation of learning components. Autom. Softw. Eng. 21(1):41-63 (2014).

A. Hristoskova, E. Tsiporkova, T. Tourwé, S. Buelens, M. Putman, and F. De Turck. A Graph-based Disambiguation Approach for Construction of an Expert Repository from Public Online Sources. Proceedings ofthe 5thIEEE International Conference on Agents and Artificial Intelligence, ICAART 2013 (Barcelona, Spain, February 15-18, 2013).

E. Kostadinova, V. Boeva, L. Boneva, and E. Tsiporkova. An Integrative DTW-based imputation method for gene expression time series data. Proceedings ofthe 6thIEEE International Conference on Intelligent Systems, IS 2012 (Sofia, Bulgaria, September 6-8, 2012).

V. Boeva, M. Krusheva, and E. Tsiporkova. Measuring expertise similarity in expert networks. Proceedings ofthe 6thIEEE International Conference on Intelligent Systems, IS 2012 (Sofia, Bulgaria, September 6-8, 2012).

A. Hristoskova, W. Boffé, T. Tourwé, and F. De Turck. Integrated Semantic and Event-based Reasoning for Emergency Response Applications. Proceedings of the 8thInternational Conference on Geoinformation for Disaster Management, Gi4DM (Enschede, The Netherlands, 12-14 December 2012).

E. Tsiporkova, T. Tourwé, N. González-Deleito, and A. Hristoskova. Ontology-driven Multimodal Interface Design for an Emergency Response Application.Proceedings ofthe 9thInternational Conference on Information Systems for Crisis Response and Management, ISCRAM 2012 (Vancouver, Canada, April 22-25, 2012).

A. Hristoskova, E. Tsiporkova, T. Tourwé, S. Buelens, M. Putman, and F. De Turck. Identifying Experts Through a Framework for Knowledge Extraction from Public Online Sources. Proceedings of the 12thDutch-Belgian Information Retrieval Workshop, DIR 2012 (Ghent, Belgium, February 23-24, 2012), pages 19-22.

V. Boeva, E. Tsiporkova, and A. Hristoskova. Clustering of Multiple DNA Microarrays through Combination of Particle Swarm Intelligence and K-means. Proceedings of the 6thInternational Conference on Computational Intelligence and Bioinformatics, CIB’2011 (Pittsburgh, USA, November 7-9, 2011), pages 32-38.

T. Tourwé, E. Tsiporkova, N. González-Deleito, and A. Hristoskova. Ontology-driven Elicitation of Multimodal User Interface Design Recommendations. Proceedings of the 23rdBenelux Conference on Artificial Intelligence, BNAIC 2011 (Ghent, Belgium, November 3-4, 2011), pages 231-238.

E. Tsiporkova, V. Boeva, and E. Kostadinova. MapReduce and FCA Approach for Clustering of Multiple-Experiment Data Compendium. Proceedings of the 23rdBenelux Conference on Artificial Intelligence, BNAIC 2011 (Ghent, Belgium, November 3-4, 2011), pages 247-254.

R. Van Wanzeele, K. Verbeeck, A. Vorstermans, T. Tourwé, and E. Tsiporkova. Extracting emotions out of twitter’s microblogs. Proceedings of the 23rdBenelux Conference on Artificial Intelligence, BNAIC 2011 (Ghent, Belgium, November 3-4, 2011), pages 304-311.

T. Tourweand E. Tsiporkova. Towards an application-specific expert finding repository on the Social Web. Proceedings of the ESWC 2011 Workshop on User Profile Data on the Social Semantic Web, UWeb 2011 (Heraklion, Greece, May 30, 2011).

E. Tsiporkovaand T. Tourwé. Tool support for technology scouting using online sources. Lecture Notes in Computer Science “Advances in Conceptual Modeling. Recent Developments and New Directions”, 6999(2011), pages 371-376.

E. Tsiporkova, T. Tourwé, and N. González-Deleito. Towards a Semantic Modelling Framework in Support of Multimodal User Interface Design. Lecture Notes in Computer Science “Human-Computer Interaction – INTERACT 2011”, 6949(2011), pages 636-639.

E. Tsiporkova, T. Tourwé, and V. Boeva. A Collaborative Decision Support Platform for Product Release Definition. Proceedings of the 5thInternational Conference on Internet and Web Applications and Services ICIW 2010 (Barcelona, Spain, May 9 - 15, 2010), pages 351-356.

V. Boeva and E. Tsiporkova. A Multi-purpose Time Series Data Standardization Method.Studies in Computational Intelligence “Intelligent Systems: from Theory to Practice” (V. Sgurev, M. Hadjiski, J. Kacprzyk eds) 299(2010), pages 445–460.