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of 1 694
pro vyhledávání: '"Teisseyre A"'
We consider the problem of feature selection in multi-label classification, considering the costs assigned to groups of features. In this task, the goal is to select a subset of features that will be useful for predicting the label vector, but at the
Externí odkaz:
http://arxiv.org/abs/2408.01851
The goal of positive-unlabeled (PU) learning is to train a binary classifier on the basis of training data containing positive and unlabeled instances, where unlabeled observations can belong either to the positive class or to the negative class. Mod
Externí odkaz:
http://arxiv.org/abs/2404.00145
Learning from positive and unlabeled data (PU learning) is actively researched machine learning task. The goal is to train a binary classification model based on a training dataset containing part of positives which are labeled, and unlabeled instanc
Externí odkaz:
http://arxiv.org/abs/2312.16557
Autor:
Damilano, Benjamin, Aristégui, Rémi, Teisseyre, Henryk, Vézian, Stéphane, Guigoz, Vincent, Courville, Aimeric, Florea, Ileana, Vennéguès, Philippe, Bockowski, Michal, Guillet, Thierry, Vladimirova, Maria
GaN/AlxGa1-xN quantum wells were grown by molecular beam epitaxy on high quality bulk (0001) GaN substrates. The quantum well thickness was set in the 6-8 nm range to favor the photoluminescence emission of indirect excitons. Indeed, such excitons ar
Externí odkaz:
http://arxiv.org/abs/2310.13323
Autor:
Zajkowska, Wiktoria, Turczynski, Jakub, Kurowska, Boguslawa, Teisseyre, Henryk, Fronc, Krzysztof, Dabrowski, Jerzy, Kret, Slawomir
We present Al2O3-ZnAl2O4-ZnO nanostructure, which could be a prominent candidate for optoelectronics, mechanical and sensing applications. While ZnO and ZnAl2O4 composites are mostly synthesized by sol-gel technique, we propose a solid-vapor growth m
Externí odkaz:
http://arxiv.org/abs/2305.15089
Autor:
Stefaniuka, Tomasz, Suffczyński, Jan, Wierzbowsk, Małgorzata, Domagała, Jarosław Z., Kisielewski, Jarosław, Kłos, Andrzej, Korneluk, Alexander, Teisseyre, Henryk
Magnesium aluminate scandium oxide (ScAlMgO4) is a promising lattice-matched substrate material for GaN- and ZnO-based optoelectronic devices. Yet, despite its clear advantages over substrates commonly used in heteroepitaxial growth, several fundamen
Externí odkaz:
http://arxiv.org/abs/2303.04697
Positive and unlabelled learning is an important problem which arises naturally in many applications. The significant limitation of almost all existing methods lies in assuming that the propensity score function is constant (SCAR assumption), which i
Externí odkaz:
http://arxiv.org/abs/2209.07787
Autor:
Cremoni, Marion, Teisseyre, Maxime, Thaunat, Olivier, Fernandez, Céline, Payre, Christine, Moutou, Alan, Zarif, Hadi, Brglez, Vesna, Albano, Laetitia, Moal, Valérie, Mourad, Georges, Morelon, Emmanuel, Hurault de Ligny, Bruno, Zaoui, Philippe, Rondeau, Eric, Ouali, Nacera, Ronco, Pierre, Moulin, Bruno, Braun-Parvez, Laura, Durrbach, Antoine, Heng, Anne-Elisabeth, Grimbert, Philippe, Ducloux, Didier, Blancho, Gilles, Merville, Pierre, Choukroun, Gabriel, Le Meur, Yannick, Vigneau, Cécile, Mariat, Christophe, Rostaing, Lionel, Subra, Jean-François, Taupin, Jean-Luc, Lambeau, Gérard, Esnault, Vincent, Sicard, Antoine, Seitz-Polski, Barbara
Publikováno v:
In Kidney International Reports December 2024 9(12):3427-3438
Publikováno v:
In Knowledge-Based Systems 25 November 2024 304
Publikováno v:
IEEE Access, Vol 12, Pp 245-257 (2024)
The goal of music genre classification is to identify the genre of given feature vectors representing certain characteristics of music clips. In addition, to improve the accuracy of music genre classification, considerable research has been conducted
Externí odkaz:
https://doaj.org/article/2ac6d598a6e0444d8aaacef41bd16ebe