Research Output

2020

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

On local and global graph structure mining

Pei, Y., 5 Feb 2020, Eindhoven: Technische Universiteit Eindhoven. 198 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

Open Access
File
36 Downloads (Pure)

Pedestrian orientation dynamics from high-fidelity measurements

Willems, J., Corbetta, A., Menkovski, V. & Toschi, F., 14 Jan 2020, In : arXiv. 15 p., 2001.04646.

Research output: Contribution to journalArticleAcademic

Open Access
File
13 Downloads (Pure)
2019

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)

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

Mantovani, R. G., Rossi, A. L. D., Alcobaça, E., Vanschoren, J. & de Carvalho, A. C. P. L. F., 1 Oct 2019, In : Information Sciences. 501, p. 193-221 29 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
6 Citations (Scopus)
48 Downloads (Pure)

Anomaly detection for visual quality control of 3D-printed products

Tonnaer, L., Li, J., Osin, V., Holenderski, M. & Menkovski, V., 1 Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Piscataway: Institute of Electrical and Electronics Engineers, 8 p. 8852372

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

2 Downloads (Pure)

An open source AutoML benchmark

Gijsbers, P., LeDell, E., Poirier, S., Thomas, J., Bischl, B. & Vanschoren, J., Jun 2019. 8 p.

Research output: Contribution to conferencePaper

Open Access
File
27 Downloads (Pure)

Approximating (k,ℓ)-center clustering for curves

Buchin, K., Driemel, A., Gudmundsson, J., Horton, M., Kostitsyna, I., Löffler, M. & Struijs, M., 2 Jan 2019, 30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). Chan, T. M. (ed.). Society for Industrial and Applied Mathematics (SIAM), p. 2922-2938 17 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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

Automatic machine learning: methods, systems, challenges

Hutter, F. (ed.), Kotthoff, L. (ed.) & Vanschoren, J. (ed.), 2019, New York: Springer. 242 p. (Challenges in Machine Learning)

Research output: Book/ReportBook editingAcademicpeer-review

Open Access
File
306 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)

Can VAEs capture topological properties?

Perez Rey, L. A., Menkovski, V. & Portegies, J. W., 2019.

Research output: Contribution to conferencePaper

4 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)
2 Downloads (Pure)

Deep learning velocity signals allows to quantify turbulence intensity

Corbetta, A., Menkovski, V., Benzi, R. & Toschi, F., 13 Nov 2019, In : arXiv. 14 p., 1911.05718.

Research output: Contribution to journalArticleAcademic

Open Access
File
7 Downloads (Pure)

Dependence on plasma shape and plasma fueling for small edge-localized mode regimes in TCV and ASDEX Upgrade

Labit, B., Eich, T., Harrer, G. F., Wolfrum, E., Bernert, M., Dunne, M. G., Frassinetti, L., Hennequin, P., Maurizio, R., Merle, A., Meyer, H., Saarelma, S., Sheikh, U., Adamek, J., Agostini, M., Aguiam, D., Akers, R., Albanese, R., Albert, C., Alessi, E. & 445 others, Ambrosino, R., Andrèbe, Y., Angioni, C., Apruzzese, G., Aradi, M., Arnichand, H., Auriemma, F., Avdeeva, G., Ayllon-Guerola, J. M., Bagnato, F., Bandaru, V. K., Barnes, M., Barrera-Orte, L., Bettini, P., Bilato, R., Biletskyi, O., Bilkova, P., Bin, W., Blanchard, P., Blanken, T., Bobkov, V., Bock, A., Boeyaert, D., Bogar, K., Bogar, O., Bohm, P., Bolzonella, T., Bombarda, F., Boncagni, L., Bouquey, F., Bowman, C., Brezinsek, S., Brida, D., Brunetti, D., Bucalossi, J., Buchanan, J., Buermans, J., Bufferand, H., Buller, S., Buratti, P., Burckhart, A., Calabr, G., Calacci, L., Camenen, Y., Cannas, B., Cano Megías, P., Carnevale, D., Carpanese, F., Carr, M., Carralero, D., Carraro, L., Casolari, A., Cathey, A., Causa, F., Cavedon, M., Cecconello, M., Ceccuzzi, S., Cerovsky, J., Chapman, S., Chmielewski, P., Choi, D., Cianfarani, C., Ciraolo, G., Coda, S., Coelho, R., Colas, L., Colette, D., Cordaro, L., Cordella, F., Costea, S., Coster, D., Cruz Zabala, D. J., Cseh, G., Czarnecka, A., Cziegler, I., D'Arcangelo, O., Dal Molin, A., David, P., De Carolis, G., De Oliveira, H., Decker, J., Dejarnac, R., Delogu, R., den Harder, N., Dimitrova, M., Dolizy, F., Domínguez-Palacios Durán, J. J., Douai, D., Drenik, A., Dreval, M., Dudson, B., Dunai, D., Duval, B. P., Dux, R., Elmore, S., Embréus, O., Erds, B., Fable, E., Faitsch, M., Fanni, A., Farnik, M., Faust, I., Faustin, J., Fedorczak, N., Felici, F., Feng, S., Feng, X., Ferreira, J., Ferr, G., Février, O., Ficker, O., Figini, L., Figueiredo, A., Fil, A., Fontana, M., Francesco, M., Fuchs, C., Futatani, S., Gabellieri, L., Gadariya, D., Gahle, D., Galassi, D., Gałązka, K., Galdon-Quiroga, J., Galeani, S., Gallart, D., Gallo, A., Galperti, C., Garavaglia, S., Garcia, J., Garcia-Lopez, J., Garcia-Mu oz, M., Garzotti, L., Gath, J., Geiger, B., Giacomelli, L., Giannone, L., Gibson, S., Gil, L., Giovannozzi, E., Giruzzi, G., Gobbin, M., Gonzalez-Martin, J., Goodman, T. P., Gorini, G., Gospodarczyk, M., Granucci, G., Grekov, D., Grenfell, G., Griener, M., Groth, M., Grover, O., Gruca, M., Gude, A., Guimarais, L., Gyergyek, T., Hacek, P., Hakola, A., Ham, C., Happel, T., Harrison, J., Havranek, A., Hawke, J., Henderson, S., Hesslow, L., Hitzler, F., Hnat, B., Hobirk, J., Hoelzl, M., Hogeweij, D., Hopf, C., Hoppe, M., Horacek, J., Hron, M., Huang, Z., Iantchenko, A., Iglesias, D., Igochine, V., Innocente, P., Ionita-Schrittwieser, C., Isliker, H., Ivanova-Stanik, I., Jacobsen, A., Jakubowski, M., Janky, F., Jardin, A., Jaulmes, F., Jensen, T., Jonsson, T., Kallenbach, A., Kappatou, A., Karpushov, A., Kasilov, S., Kazakov, Y., Kazantzidis, P. V., Keeling, D., Kelemen, M., Kendl, A., Kernbichler, W., Kirk, A., Kocsis, G., Komm, M., Kong, M., Korovin, V., Koubiti, M., Kovacic, J., Krawczyk, N., Krieger, K., Kripner, L., Křivská, A., Kudlacek, O., Kulyk, Y., Kurki-Suonio, T., Kwiatkowski, R., Laggner, F., Laguardia, L., Lahtinen, A., Lang, P., Likonen, J., Lipschultz, B., Liu, F., Lombroni, R., Lorenzini, R., Loschiavo, V. P., Lunt, T., MacUsova, E., Madsen, J., Maggiora, R., Maljaars, B., Manas, P., Mantica, P., Mantsinen, M. J., Manz, P., Maraschek, M., Marchenko, V., Marchetto, C., Mariani, A., Marini, C., Markovic, T., Marrelli, L., Martin, P., Martín Solís, J. R., Martitsch, A., Mastrostefano, S., Matos, F., Matthews, G., Mayoral, M-L., Mazon, D., Mazzotta, C., Mc Carthy, P., McClements, K., McDermott, R., McMillan, B., Meineri, C., Menkovski, V., Meshcheriakov, D., Messmer, M., Micheletti, D., Milanesio, D., Militello, F., Miron, I. G., Mlynar, J., Moiseenko, V., Molina Cabrera, P. A., Morales, J., Moret, J. M., Moro, A., Moulton, D., Nabais, F., Naulin, V., Naydenkova, D., Nem, R. D., Nespoli, F., Newton, S., Nielsen, A. H., Nielsen, S. K., Nikolaeva, V., Nocente, M., Nowak, S., Oberkofler, M., Ochoukov, R., Ollus, P., Olsen, J., Omotani, J., Ongena, J., Orain, F., Orsitto, F. P., Paccagnella, R., Palha, A., Panaccione, L., Panek, R., Panjan, M., Papp, G., Paradela Perez, I., Parra, F., Passeri, M., Pau, A., Pautasso, G., Pavlichenko, R., Perek, A., Pericoli Radolfini, V., Pesamosca, F., Peterka, M., Petrzilka, V., Piergotti, V., Pigatto, L., Piovesan, P., Piron, C., Piron, L., Plyusnin, V., Pokol, G., Poli, E., Pölöskei, P., Popov, T., Popovic, Z., Pór, G., Porte, L., Pucella, G., Puiatti, M. E., Pütterich, T., Rabinski, M., Juul Rasmussen, J., Rasmussen, J., Rattá, G. A., Ratynskaia, S., Ravensbergen, T., Réfy, D., Reich, M., Reimerdes, H., Reimold, F., Reiser, D., Reux, C., Reznik, S., Ricci, D., Rispoli, N., Rivero-Rodriguez, J. F., Rocchi, G., Rodriguez-Ramos, M., Romano, A., Rosato, J., Rubinacci, G., Rubino, G., Ryan, D. A., Salewski, M., Salmi, A., Samaddar, D., Sanchis-Sanchez, L., Santos, J., Särkimäki, K., Sassano, M., Sauter, O., Scannell, R., Scheffer, M., Schneider, B. S., Schneider, P., Schrittwieser, R., Schubert, M., Seidl, J., Seliunin, E., Sharapov, S., Sheeba, R. R., Sias, G., Sieglin, B., Silva, C., Sipilä, S., Smith, S., Snicker, A., Solano, E. R., Hansen, S. K., Soria-Hoyo, C., Sorokovoy, E., Sozzi, C., Sperduti, A., Spizzo, G., Spolaore, M., Stejner, M., Stipani, L., Stober, J., Strand, P., Sun, H., Suttrop, W., Sytnykov, D., Szepesi, T., Tál, B., Tala, T., Tardini, G., Tardocchi, M., Teplukhina, A., Terranova, D., Testa, D., Theiler, C., Thorén, E., Thornton, A., Tilia, B., Tolias, P., Tomes, M., Toscano-Jimenez, M., Tsironis, C., Tsui, C., Tudisco, O., Urban, J., Valisa, M., Vallar, M., Vallejos Olivares, P., Valovic, M., van Vugt, D., Vanovac, B., Varje, J., Varju, J., Varoutis, S., Vartanian, S., Vasilovici, O., Vega, J., Verdoolaege, G., Verhaegh, K., Vermare, L., Vianello, N., Vicente, J., Viezzer, E., Villone, F., Voitsekhovitch, I., Voltolina, D., Vondracek, P., Vu, N. M. T., Walkden, N., Wauters, T., Weiland, M., Weinzettl, V., Wensing, M., Wiesen, S., Wiesenberger, M., Wilkie, G., Willensdorfer, M., Wischmeier, M., Wu, K., Xiang, L., Zagorski, R., Zaloga, D., Zanca, P., Zaplotnik, R., Zebrowski, J., Zhang, W., Zisis, A., Zoletnik, S. & Zuin, M., Aug 2019, In : Nuclear Fusion. 59, 8, 086020.

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
1 Downloads (Pure)

EEG microstate and functional brain network features for classification of epilepsy and PNES

Ahmadi, N., 19 Nov 2019, Eindhoven: Technische Universiteit Eindhoven. 211 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

Open Access
File
497 Downloads (Pure)

Evolutionary construction of convolutional neural networks

van Knippenberg, M. S., Menkovski, V. & Consoli, S., Feb 2019, Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Revised Selected Papers. Nicosia, G., Giuffrida, G., Nicosia, G., Pardalos, P., Sciacca, V. & Umeton, R. (eds.). Cham: Springer, p. 293-304 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11331 LNCS).

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

5 Downloads (Pure)

Evolution of biologically inspired learning in artificial neural networks

Yaman, A., 19 Nov 2019, Eindhoven: Technische Universiteit Eindhoven. 149 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

Open Access
File
75 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)

Intelligent microscope II

Smanis, K., 24 Oct 2019, Eindhoven: Technische Universiteit Eindhoven. 81 p.

Research output: ThesisPd Eng Thesis

Klcluster: center-based clustering of trajectories

Buchin, K. A., Driemel, A., van de L'Isle, N. A. F. & Nusser, A., 5 Nov 2019, 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2019. Banaei-Kashani, F., Trajcevski, G., Guting, R. H., Kulik, L. & Newsam, S. (eds.). New York: Association for Computing Machinery, Inc, p. 496-499 4 p.

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

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
16 Downloads (Pure)

Meta-learning

Vanschoren, J., 2019, Automatic Machine Learning: Methods, Systems, Challenges. Hutter, F., Kotthoff, L. & Vanschoren, J. (eds.). Cham: Springer, p. 39-61 27 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
25 Downloads (Pure)

Micro-expression detection in long videos using optical flow and recurrent neural networks

Verburg, M. & Menkovski, V., 1 May 2019, 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019. Piscataway: Institute of Electrical and Electronics Engineers, 6 p. 8756588

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

1 Downloads (Pure)

Multi-task learning with a natural metric for quantitative structure activity relationship learning

Sadawi, N., Olier, I., Vanschoren, J., Van Rijn, J. N., Besnard, J., Bickerton, R., Grosan, C., Soldatova, L. & King, R. D., 12 Nov 2019, In : Journal of Cheminformatics. 11, 1, 13 p., 68.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
19 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)

On-line building energy optimization using deep reinforcement learning

Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M. & Slootweg, J. G., Jul 2019, In : IEEE Transactions on Smart Grid. 10, 4, p. 3698-3708 11 p., 8356086.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
35 Citations (Scopus)
69 Downloads (Pure)

On the hardness of computing an average curve

Buchin, K. A., Driemel, A. & Struijs, M. A. C., 21 Feb 2019, In : arXiv. 15 p., 1902.08053v1.

Research output: Contribution to journalArticleAcademic

Open Access
File
5 Downloads (Pure)

OpenML: an R package to connect to the machine learning platform OpenML

Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J. & Bischl, B., Sep 2019, In : Computational Statistics. 34, 3, p. 977-991 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

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

Physics research on the TCV tokamak facility: from conventional to alternative scenarios and beyond

Coda, S., Agostini, M., Albanese, R., Alberti, S., Alessi, E., Allan, S., Allcock, J., Ambrosino, R., Anand, H., Andrebe, Y., Arnichand, H., Auriemma, F., Ayllon-Guerola, J. M., Bagnato, F., Ball, J., Baquero-Ruiz, M., Beletskii, A. A., Bernert, M., Bin, W., Blanchard, P. & 248 others, Blanken, T. C., Boedo, J. A., Bogar, O., Bolzonella, T., Bombarda, F., Bonanomi, N., Bouquey, F., Bowman, C., Brida, D., Bucalossi, J., Buermans, J., Bufferand, H., Buratti, P., Calabró, G., Calacci, L., Camenen, Y., Carnevale, D., Carpanese, F., Carr, M., Carraro, L., Casolari, A., Causa, F., Čeřovský, J., Chellaï, O., Chmielewski, P., Choi, D., Christen, N., Ciraolo, G., Cordaro, L., Costea, S., Cruz, N., Czarnecka, A., Dal Molin, A., David, P., Decker, J., De Oliveira, H., Douai, D., Dreval, M. B., Dudson, B., Dunne, M., Duval, B. P., Eich, T., Elmore, S., Embréus, O., Esposito, B., Faitsch, M., Farnik, M., Fasoli, A., Fedorczak, N., Felici, F., Feng, S., Feng, X., Ferró, G., Février, O., Ficker, O., Fil, A., Fontana, M., Frassinetti, L., Furno, I., Gahle, D. S., Galassi, D., Gałazka, K., Gallo, A., Galperti, C., Garavaglia, S., Garcia, J., Garcia-Munoz, M., Garrido, A. J., Garrido, I., Gath, J., Geiger, B., Giruzzi, G., Gobbin, M., Goodman, T. P., Gorini, G., Gospodarczyk, M., Granucci, G., Graves, J. P., Gruca, M., Gyergyek, T., Hakola, A., Happel, T., Harrer, G. F., Harrison, J., Havličková, E., Hawke, J., Henderson, S., Hennequin, P., Hesslow, L., Hogeweij, D., Hogge, J. P., Hopf, C., Hoppe, M., Horáček, J., Huang, Z., Hubbard, A., Iantchenko, A., Igochine, V., Innocente, P., Ionita Schrittwieser, C., Isliker, H., Jacquier, R., Jardin, A., Kappatou, A., Karpushov, A., Kazantzidis, P. V., Keeling, D., Kirneva, N., Komm, M., Kong, M., Kovacic, J., Krawczyk, N., Kudlacek, O., Kurki-Suonio, T., Kwiatkowski, R., Labit, B., Lazzaro, E., Linehan, B., Lipschultz, B., Llobet, X., Lombroni, R., Loschiavo, V. P., Lunt, T., Macusova, E., Madsen, J., Maljaars, E., Mantica, P., Maraschek, M., Marchetto, C., Marco, A., Mariani, A., Marini, C., Martin, Y., Matos, F., Maurizio, R., Mavkov, B., Mazon, D., McCarthy, P., McDermott, R., Menkovski, V., Merle, A., Meyer, H., Micheletti, D., Militello, F., Mitosinkova, K., Mlynář, J., Moiseenko, V., Molina Cabrera, P. A., Morales, J., Moret, J. M., Moro, A., Mumgaard, R. T., Naulin, V., Nem, R. D., Nespoli, F., Nielsen, A. H., Nielsen, S. K., Nocente, M., Nowak, S., Offeddu, N., Orsitto, F. P., Paccagnella, R., Palha, A., Papp, G., Pau, A., Pavlichenko, R. O., Perek, A., Pericoli Ridolfini, V., Pesamosca, F., Piergotti, V., Pigatto, L., Piovesan, P., Piron, C., Plyusnin, V., Poli, E., Porte, L., Pucella, G., Puiatti, M. E., Pütterich, T., Rabinski, M., Juul Rasmussen, J., Ravensbergen, T., Reich, M., Reimerdes, H., Reimold, F., Reux, C., Ricci, D., Ricci, P., Rispoli, N., Rosato, J., Saarelma, S., Salewski, M., Salmi, A., Sauter, O., Scheffer, M., Schlatter, C., Schneider, B. S., Schrittwieser, R., Sharapov, S., Sheeba, R. R., Sheikh, U., Shousha, R., Silva, M., Sinha, J., Sozzi, C., Spolaore, M., Stipani, L., Strand, P., Tala, T., Tema Biwole, A. S., Teplukhina, A. A., Testa, D., Theiler, C., Thornton, A., Tomaž, G., Tomes, M., Tran, M. Q., Tsironis, C., Tsui, C. K., Urban, J., Valisa, M., Vallar, M., van Vugt, D., Vartanian, S., Vasilovici, O., Verhaegh, K., Vermare, L., Vianello, N., Viezzer, E., Vijvers, W. A. J., Villone, F., Voitsekhovitch, I., Vu, N. M. T., Walkden, N., Wauters, T., Weiland, M., Weisen, H., Wensing, M., Wiesenberger, M., Wilkie, G., Wischmeier, M., Wu, K., Yoshida, M., Zagorski, R., Zanca, P., Zebrowski, J., Zisis, A. & Zuin, M., 30 Aug 2019, In : Nuclear Fusion. 59, 11, 17 p., 112023.

Research output: Contribution to journalArticleAcademicpeer-review

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

Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance

Cauteruccio, F., Fortino, G., Guerrieri, A., Liotta, A., Mocanu, D. C., Perra, C., Terracina, G. & Torres Vega, M., Dec 2019, In : Information Fusion. 52, p. 13-30 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)
4 Downloads (Pure)

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., 26 Jan 2019, In : arXiv. 14 p., 1901.09181v1.

Research output: Contribution to journalArticleAcademic

Open Access
File
13 Downloads (Pure)

Stampnet: unsupervised multi-class object discovery

Visser, J., Corbetta, A., Menkovski, V. & Toschi, F., Sep 2019, 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, p. 2951-2955 5 p. 8803767

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

1 Citation (Scopus)

The role of deep learning in improving healthcare

Thaler, S. & Menkovski, V., 1 Jan 2019, Data Science for Healthcare: Methodologies and Applications. Consoli, S., Reforgiato Recupero, D. & Petković, M. (eds.). Cham: Springer, p. 75-116 42 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Towards a psychological computing approach to digital lifestyle interventions

Zhang, C., 22 Nov 2019, Eindhoven: Technische Universiteit Eindhoven. 232 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)

Open Access
File
129 Downloads (Pure)
2018

30th Benelux conference on artificial intelligence: BNAIC 2018 preproceedings, November 8-9, 2018, 's-Hertogenbosch, The Netherlands

Atzmüller, M. (ed.) & Duivesteijn, W. (ed.), 2018, 344 p.

Research output: Book/ReportBook editingAcademicpeer-review

1 Downloads (Pure)

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)

Advances in intelligent data analysis XVII: 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings

Duivesteijn, W. (ed.), Siebes, A. (ed.) & Ukkonen, A. (ed.), 2018, Berlin: Springer. (Lecture notes in computer science; vol. 11191)( Information Systems and Applications, incl. Internet/Web, and HCI; vol. 11191)

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Anomaly detection for imbalanced datasets with deep generative models

Santos Buitrago, N. R., Tonnaer, L. M. A., Menkovski, V. & Mavroeidis, D., 8 Sep 2018. 15 p.

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Approximating $(k,\ell)$-center clustering for curves

Buchin, K., Driemel, A., Gudmundsson, J., Horton, M., Kostitsyna, I., Löffler, M. & Struijs, M., 3 May 2018, In : arXiv. 24 p., 1805.01547v2.

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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.

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15 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.

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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).

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Data augmentation using conditional generative adversarial networks for leaf counting in arabidopsis plants

Zhu, Y., Aoun, M., Krijn, M. P. C. M. & Vanschoren, J., Aug 2018, British Machine Vision Conference: Workshop on Computer Vision Problems in Plant Phenotyping. 11 p.

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Decentralized dynamic understanding of hidden relations in complex networks

Mocanu, D. C., Exarchakos, G. & Liotta, A., 1 Dec 2018, In : Scientific Reports. 8, 1, 15 p., 1571.

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Deep metric learning for sequential data using approximate information

Thaler, S., Menkovski, V. & Petkovic, M., 8 Jul 2018, Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, Proceedings. Perner, P. (ed.). Cham: Springer, p. 269-282 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10934 LNAI).

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Discovering a taste for the unusual: exceptional models for preference mining

de Sá, C. R., Duivesteijn, W., Azevedo, P., Jorge, A. M., Soares, C. & Knobbe, A., 1 Nov 2018, In : Machine Learning. 107, 11, p. 1775-1807 33 p.

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Discovery science: 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings

Soldatova, L. (ed.), Vanschoren, J. (ed.), Ceci, M. (ed.) & Papadopoulos, G. (ed.), 2018, Berlin: Springer. (Lecture Notes in Artificial Intelligence; vol. 11198)

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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.

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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

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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.

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