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pro vyhledávání: '"DE BAETS, BERNARD"'
Higher-order interactions (HOIs) have the potential to greatly increase our understanding of ecological interaction networks beyond what is possible with established models that usually consider only pairwise interactions between organisms. While equ
Externí odkaz:
http://arxiv.org/abs/2408.14209
Autor:
De Baets, Bernard, De Santis, Emilio
A set of $2^n$ candidates is presented to a commission. At every round, each member of this commission votes by pairwise comparison, and one-half of the candidates is deleted from the tournament, the remaining ones proceeding to the next round until
Externí odkaz:
http://arxiv.org/abs/2407.01382
Autor:
Scabini, Leonardo, Sacilotti, Andre, Zielinski, Kallil M., Ribas, Lucas C., De Baets, Bernard, Bruno, Odemir M.
Texture, a significant visual attribute in images, has been extensively investigated across various image recognition applications. Convolutional Neural Networks (CNNs), which have been successful in many computer vision tasks, are currently among th
Externí odkaz:
http://arxiv.org/abs/2406.06136
Autor:
Zielinski, Kallil M., Scabini, Leonardo, Ribas, Lucas C., da Silva, Núbia R., Beeckman, Hans, Verwaeren, Jan, Bruno, Odemir M., De Baets, Bernard
In recent years, we have seen many advancements in wood species identification. Methods like DNA analysis, Near Infrared (NIR) spectroscopy, and Direct Analysis in Real Time (DART) mass spectrometry complement the long-established wood anatomical ass
Externí odkaz:
http://arxiv.org/abs/2404.08585
Autor:
Stock, Michiel, Boeckaerts, Dimitri, Dewulf, Pieter, Taelman, Steff, Van Haeverbeke, Maxime, Van Criekinge, Wim, De Baets, Bernard
Advances in bioinformatics are primarily due to new algorithms for processing diverse biological data sources. While sophisticated alignment algorithms have been pivotal in analyzing biological sequences, deep learning has substantially transformed b
Externí odkaz:
http://arxiv.org/abs/2402.17572
Autor:
Borzooei, Sina, Scabini, Leonardo, Miranda, Gisele, Daneshgar, Saba, Deblieck, Lukas, De Langhe, Piet, Bruno, Odemir, De Baets, Bernard, Nopens, Ingmar, Torfs, Elena
Microbial communities play a key role in biological wastewater treatment processes. Activated sludge settling characteristics, for example, are affected by microbial community composition, varying by changes in operating conditions and influent chara
Externí odkaz:
http://arxiv.org/abs/2402.09367
Publikováno v:
Competitiveness Review: An International Business Journal, 2024, Vol. 34, Issue 7, pp. 52-72.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CR-01-2024-0005
Hyperdimensional computing (HDC) is an increasingly popular computing paradigm with immense potential for future intelligent applications. Although the main ideas already took form in the 1990s, HDC recently gained significant attention, especially i
Externí odkaz:
http://arxiv.org/abs/2311.08150
Integral transforms are invaluable mathematical tools to map functions into spaces where they are easier to characterize. We introduce the hyperdimensional transform as a new kind of integral transform. It converts square-integrable functions into no
Externí odkaz:
http://arxiv.org/abs/2310.16065
Conformal prediction, and split conformal prediction as a specific implementation, offer a distribution-free approach to estimating prediction intervals with statistical guarantees. Recent work has shown that split conformal prediction can produce st
Externí odkaz:
http://arxiv.org/abs/2309.08313