Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Bordino, Ilaria"'
Autor:
Egger, Maximilian K., Ma, Wenyue, Mottin, Davide, Karras, Panagiotis, Bordino, Ilaria, Gullo, Francesco, Anagnostopoulos, Aris
Can we assess a priori how well a knowledge graph embedding will perform on a specific downstream task and in a specific part of the knowledge graph? Knowledge graph embeddings (KGEs) represent entities (e.g., "da Vinci," "Mona Lisa") and relationshi
Externí odkaz:
http://arxiv.org/abs/2404.16572
Receivable financing is the process whereby cash is advanced to firms against receivables their customers have yet to pay: a receivable can be sold to a funder, which immediately gives the firm cash in return for a small percentage of the receivable
Externí odkaz:
http://arxiv.org/abs/2006.13738
Autor:
Ranco, Gabriele, Bordino, Ilaria, Bormetti, Giacomo, Caldarelli, Guido, Lillo, Fabrizio, Treccani, Michele
The new digital revolution of big data is deeply changing our capability of understanding society and forecasting the outcome of many social and economic systems. Unfortunately, information can be very heterogeneous in the importance, relevance, and
Externí odkaz:
http://arxiv.org/abs/1412.3948
Autor:
Bordino, Ilaria, Battiston, Stefano, Caldarelli, Guido, Cristelli, Matthieu, Ukkonen, Antti, Weber, Ingmar
We live in a computerized and networked society where many of our actions leave a digital trace and affect other people's actions. This has lead to the emergence of a new data-driven research field: mathematical methods of computer science, statistic
Externí odkaz:
http://arxiv.org/abs/1110.4784
Autor:
Maasland, Troy, Pereira, João, Bastos, Diogo, de Goffau, Marcus, Nieuwdorp, Max, Zwinderman, Aeilko H., Levin, Evgeni, Kamp, Michael, Koprinska, Irena, Bibal, Adrien, Bouadi, Tassadit, Frénay, Benoît, Galárraga, Luis, Oramas, José, Adilova, Linara, Krishnamurthy, Yamuna, Kang, Bo, Largeron, Christine, Lijffijt, Jefrey, Viard, Tiphaine, Welke, Pascal, Ruocco, Massimiliano, Aune, Erlend, Gallicchio, Claudio, Schiele, Gregor, Pernkopf, Franz, Blott, Michaela, Fröning, Holger, Schindler, Günther, Guidotti, Riccardo, Monreale, Anna, Rinzivillo, Salvatore, Biecek, Przemyslaw, Ntoutsi, Eirini, Pechenizkiy, Mykola, Rosenhahn, Bodo, Buckley, Christopher, Cialfi, Daniela, Lanillos, Pablo, Ramstead, Maxwell, Verbelen, Tim, Ferreira, Pedro M., Andresini, Giuseppina, Malerba, Donato, Medeiros, Ibéria, Fournier-Viger, Philippe, Nawaz, M. Saqib, Ventura, Sebastian, Sun, Meng, Zhou, Min, Bitetta, Valerio, Bordino, Ilaria, Ferretti, Andrea, Gullo, Francesco, Ponti, Giovanni, Severini, Lorenzo, Ribeiro, Rita, Gama, João, Gavaldà, Ricard, Cooper, Lee, Ghazaleh, Naghmeh, Richiardi, Jonas, Roqueiro, Damian, Saldana Miranda, Diego, Sechidis, Konstantinos, Graça, Guilherme
Publikováno v:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases-International Workshops of ECML PKDD 2021, Proceedings, 1524 CCIS, 15-25
Communications in Computer and Information Science ISBN: 9783030937355
Communications in Computer and Information Science ISBN: 9783030937355
One of the most common pitfalls often found in high dimensional biological data sets are correlations between the features. This may lead to statistical and machine learning methodologies overvaluing or undervaluing these correlated predictors, while
Autor:
Bonchi, Francesco1 (AUTHOR) francesco.bonchi@isi.it, Bordino, Ilaria2 (AUTHOR) ibordino@acm.org, Gullo, Francesco2 (AUTHOR), Stilo, Giovanni3 (AUTHOR) stilo@di.uniroma1.it
Publikováno v:
Web Intelligence (2405-6456). 2019, Vol. 17 Issue 3, p177-198. 22p. 16 Charts, 4 Graphs.
Autor:
Beauxis-Aussalet, Emma, Kamp, Michael, Koprinska, Irena, Bibal, Adrien, Bouadi, Tassadit, Frénay, Benoît, Galárraga, Luis, Oramas, José, Adilova, Linara, Krishnamurthy, Yamuna, Kang, Bo, Largeron, Christine, Lijffijt, Jefrey, Viard, Tiphaine, Welke, Pascal, Ruocco, Massimiliano, Aune, Erlend, Gallicchio, Claudio, Schiele, Gregor, Pernkopf, Franz, Blott, Michaela, Fröning, Holger, Schindler, Günther, Guidotti, Riccardo, Monreale, Anna, Rinzivillo, Salvatore, Biecek, Przemyslaw, Ntoutsi, Eirini, Pechenizkiy, Mykola, Rosenhahn, Bodo, Buckley, Christopher, Cialfi, Daniela, Lanillos, Pablo, Ramstead, Maxwell, Verbelen, Tim, Ferreira, Pedro M., Andresini, Giuseppina, Malerba, Donato, Medeiros, Ibéria, Fournier-Viger, Philippe, Nawaz, M. Saqib, Ventura, Sebastian, Sun, Meng, Zhou, Min, Bitetta, Valerio, Bordino, Ilaria, Ferretti, Andrea, Gullo, Francesco, Ponti, Giovanni, Severini, Lorenzo, Ribeiro, Rita, Gama, João, Gavaldà, Ricard, Cooper, Lee, Ghazaleh, Naghmeh, Richiardi, Jonas, Roqueiro, Damian, Saldana Miranda, Diego, Sechidis, Konstantinos, Graça, Guilherme
Publikováno v:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II, 2, 352-365
Beauxis-Aussalet, E 2021, Error Variance, Fairness, and the Curse on Minorities . in M Kamp, M Kamp, I Koprinska, A Bibal, T Bouadi, B Frénay, L Galárraga, J Oramas, L Adilova, Y Krishnamurthy, B Kang, C Largeron, J Lijffijt, T Viard, P Welke, M Ruocco, E Aune, C Gallicchio, G Schiele, F Pernkopf, M Blott, H Fröning, G Schindler, R Guidotti, A Monreale, S Rinzivillo, P Biecek, E Ntoutsi, M Pechenizkiy, B Rosenhahn, C Buckley, D Cialfi, P Lanillos, M Ramstead, T Verbelen, P M Ferreira, G Andresini, D Malerba, I Medeiros, P Fournier-Viger, M S Nawaz, S Ventura, M Sun, M Zhou, V Bitetta, I Bordino, A Ferretti, F Gullo, G Ponti, L Severini, R Ribeiro, J Gama, R Gavaldà, L Cooper, N Ghazaleh, J Richiardi, D Roqueiro, D Saldana Miranda, K Sechidis & G Graça (eds), Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II . vol. 2, Communications in Computer and Information Science, vol. 1525 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 352-365, 21st European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2021, Virtual, Online, 13/09/21 . https://doi.org/10.1007/978-3-030-93733-1_25
Communications in Computer and Information Science ISBN: 9783030937324
Beauxis-Aussalet, E 2021, Error Variance, Fairness, and the Curse on Minorities . in M Kamp, M Kamp, I Koprinska, A Bibal, T Bouadi, B Frénay, L Galárraga, J Oramas, L Adilova, Y Krishnamurthy, B Kang, C Largeron, J Lijffijt, T Viard, P Welke, M Ruocco, E Aune, C Gallicchio, G Schiele, F Pernkopf, M Blott, H Fröning, G Schindler, R Guidotti, A Monreale, S Rinzivillo, P Biecek, E Ntoutsi, M Pechenizkiy, B Rosenhahn, C Buckley, D Cialfi, P Lanillos, M Ramstead, T Verbelen, P M Ferreira, G Andresini, D Malerba, I Medeiros, P Fournier-Viger, M S Nawaz, S Ventura, M Sun, M Zhou, V Bitetta, I Bordino, A Ferretti, F Gullo, G Ponti, L Severini, R Ribeiro, J Gama, R Gavaldà, L Cooper, N Ghazaleh, J Richiardi, D Roqueiro, D Saldana Miranda, K Sechidis & G Graça (eds), Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II . vol. 2, Communications in Computer and Information Science, vol. 1525 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 352-365, 21st European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2021, Virtual, Online, 13/09/21 . https://doi.org/10.1007/978-3-030-93733-1_25
Communications in Computer and Information Science ISBN: 9783030937324
Machine learning systems can make more errors for certain populations and not others, and thus create discriminations. To assess such fairness issue, errors are typically compared across populations. We argue that we also need to account for the vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6862fe14aca1ffeed25a28df64a5c9cc
https://research.vu.nl/en/publications/38c31561-5dbb-4819-97f2-922102a451d7
https://research.vu.nl/en/publications/38c31561-5dbb-4819-97f2-922102a451d7
Autor:
Nauta, Meike, Jutte, Annemarie, Provoost, Jesper, Seifert, Christin, Kamp, Michael, Koprinska, Irena, Bibal, Adrien, Bouadi, Tassadit, Frénay, Benoît, Galárraga, Luis, Oramas, José, Adilova, Linara, Krishnamurthy, Yamuna, Kang, Bo, Largeron, Christine, Lijffijt, Jefrey, Viard, Tiphaine, Welke, Pascal, Ruocco, Massimiliano, Aune, Erlend, Gallicchio, Claudio, Schiele, Gregor, Pernkopf, Franz, Blott, Michaela, Fröning, Holger, Schindler, Günther, Guidotti, Riccardo, Monreale, Anna, Rinzivillo, Salvatore, Biecek, Przemyslaw, Ntoutsi, Eirini, Pechenizkiy, Mykola, Rosenhahn, Bodo, Buckley, Christopher, Cialfi, Daniela, Lanillos, Pablo, Ramstead, Maxwell, Verbelen, Tim, Ferreira, Pedro M., Andresini, Giuseppina, Malerba, Donato, Medeiros, Ibéria, Fournier-Viger, Philippe, Nawaz, M. Saqib, Ventura, Sebastian, Sun, Meng, Zhou, Min, Bitetta, Valerio, Bordino, Ilaria, Ferretti, Andrea, Gullo, Francesco, Ponti, Giovanni, Severini, Lorenzo, Ribeiro, Rita, Gama, João, Gavaldà, Ricard, Cooper, Lee, Ghazaleh, Naghmeh, Richiardi, Jonas, Roqueiro, Damian, Saldana Miranda, Diego, Sechidis, Konstantinos, Graça, Guilherme
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030937355
Machine Learning and Principles and Practice of Knowledge Discovery in Databases-International Workshops of ECML PKDD 2021, Proceedings, 1524, 441-456
Machine Learning and Principles and Practice of Knowledge Discovery in Databases-International Workshops of ECML PKDD 2021, Proceedings, 1524, 441-456
Image recognition with prototypes is considered an interpretable alternative for black box deep learning models. Classification depends on the extent to which a test image “looks like” a prototype. However, perceptual similarity for humans can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46b27bfb57f3b004e6214b12615d41ae
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