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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
1 Citation (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

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
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15 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
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
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7 Citations (Scopus)
51 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)

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
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8 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)

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
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16 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
1 Citation (Scopus)
22 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
46 Citations (Scopus)
76 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)
76 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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8 Citations (Scopus)
56 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
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14 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)

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.

Research output: Contribution to journalArticleAcademic

Open Access
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10 Downloads (Pure)

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

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.

Research output: Contribution to journalArticleAcademicpeer-review

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

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.

Research output: Contribution to journalArticleAcademicpeer-review

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

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.

Research output: Contribution to journalArticleAcademicpeer-review

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

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

Olier, I., Sadawi, N., Bickerton, G. R., Vanschoren, J., Grosan, C., Soldatova, L. & King, R. D., 8 Jan 2018, In : Machine Learning. 107, 1, p. 285–311 27 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
15 Citations (Scopus)
95 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)

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, H. P., Gibescu, M. & Liotta, A., 19 Jun 2018, In : Nature Communications. 9, 1, 12 p., 2383.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
36 Citations (Scopus)
339 Downloads (Pure)

Speeding up algorithm selection using average ranking and active testing by introducing runtime

Abdulrahman, S. M., Brazdil, P., van Rijn, J. N. & Vanschoren, J., 8 Jan 2018, In : Machine Learning. 107, 1, p. 79-108 30 p.

Research output: Contribution to journalArticleAcademicpeer-review

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

The online performance estimation framework: heterogeneous ensemble learning for data streams

van Rijn, J. N., Holmes, G., Pfahringer, B. & Vanschoren, J., 8 Jan 2018, In : Machine Learning. 107, 1, p. 149–176 28 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
23 Citations (Scopus)
175 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)

Deep learning for quality assessment in live video streaming

Torres Vega, M., Mocanu, D. C., Famaey, J., Stavrou, S. & Liotta, A., Jun 2017, In : IEEE Signal Processing Letters. 24, 6, p. 736 - 740 5 p., 7892928.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
29 Citations (Scopus)
270 Downloads (Pure)

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines

Mocanu, D. C., Bou Ammar, H., Puig, L., Eaton, E. & Liotta, A., 1 Sep 2017, In : Pattern Recognition. 69, p. 325-335 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

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

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

Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J. & Bischl, B., 2017, In : arXiv. 1701.01293, 1701.01293.

Research output: Contribution to journalArticleAcademic

Open Access
File
120 Downloads (Pure)

Predictive no-reference assessment of video quality

Torres Vega, M., Mocanu, D. C., Stavrou, S. & Liotta, A., 1 Mar 2017, In : Signal Processing : Image Communication. 52, p. 20-32 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

22 Citations (Scopus)
2 Downloads (Pure)

Unsupervised deep learning for real-time assessment of video streaming services

Torres Vega, M., Mocanu, D. C. & Liotta, A., Nov 2017, In : Multimedia Tools and Applications. 76, 21, p. 22303-22327 25 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
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6 Citations (Scopus)
230 Downloads (Pure)
2016

Aslib: a benchmark library for algorithm selection

Bischl, B., Kerschke, P., Kotthoff, L., Lindauer, M., Malitsky, Y., Fréchette, A., Hoos, H., Hutter, F., Leyton-Brown, K., Tierney, K. & Vanschoren, J., 2016, In : Artificial Intelligence. 237, p. 41-58 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

54 Citations (Scopus)
1 Downloads (Pure)

A survey on using domain and contextual knowledge for human activity recognition in video streams

Onofri, L., Soda, P., Pechenizkiy, M. & Iannello, G., 2016, In : Expert Systems with Applications. 63, p. 97-111

Research output: Contribution to journalArticleAcademicpeer-review

31 Citations (Scopus)
1 Downloads (Pure)

Mining exceptional relationships with grammar-guided genetic programming

Luna, J. M., Pechenizkiy, M. & Ventura, S., Jun 2016, In : Knowledge and Information Systems. 47, 3, p. 571-594 24 p.

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)
5 Downloads (Pure)

On the expected complexity of Voronoi diagrams on terrains

Driemel, A., Har-Peled, S. & Raichel, B., 1 Apr 2016, In : ACM Transactions on Algorithms. 12, 3, p. 1-20 20 p., 37.

Research output: Contribution to journalArticleAcademicpeer-review

1 Downloads (Pure)

Reduction of false arrhythmia alarms using signal selection and machine learning

Eerikäinen, L. M., Vanschoren, J., Rooijakkers, M. J., Vullings, R. & Aarts, R. M., 2016, In : Physiological Measurement. 37, 8, p. 1204-1216

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
17 Citations (Scopus)
5 Downloads (Pure)

Speeding-up association rule mining with inverted index compression

Luna, J. M., Cano, A., Pechenizkiy, M. & Ventura, S., 2016, In : IEEE Transactions on Cybernetics. 46, 12, p. 3059-3072

Research output: Contribution to journalArticleAcademicpeer-review

22 Citations (Scopus)

Toward understanding online sentiment expression: an interdisciplinary approach with subgroup comparison and visualization

Gao, B., Berendt, B. & Vanschoren, J., 1 Dec 2016, In : Social Network Analysis and Mining. 6, 1, 68.

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
1 Downloads (Pure)
2015

Computing the Fréchet distance between folded polygons

Cook IV, A. F., Driemel, A., Sherette, J. & Wenk, C., 2015, In : Computational Geometry. 50, dec., p. 1-16

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Introduction into sparks of the learning analytics future

Pechenizkiy, M. & Gasevic, D., 2015, In : Journal of Learning Analytics. 1, 3, p. 145-149 5 p.

Research output: Contribution to journalArticleAcademic

Open Access
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46 Downloads (Pure)

Network analysis on skype end-to-end video quality

Exarchakos, G., Druda, L., Menkovski, V. & Liotta, A., 7 Apr 2015, In : International Journal of Pervasive Computing and Communications. 11, 1, p. 17-42 26 p.

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)
1 Downloads (Pure)

Segmentation of trajectories on nonmonotone criteria

Aronov, B., Driemel, A., van Kreveld, M. J., Löffler, M. & Staals, F., 1 Dec 2015, In : ACM Transactions on Algorithms. 12, 2, 26.

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)
3 Downloads (Pure)
2014

A survey on concept drift adaptation

Gama, J., Zliobaite, I., Bifet, A., Pechenizkiy, M. & Bouchachia, A., 2014, In : ACM Computing Surveys. 46, 4, p. 44/1-37 37 p., 44.

Research output: Contribution to journalArticleAcademicpeer-review

829 Citations (Scopus)
1 Downloads (Pure)