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pro vyhledávání: '"Colonna, Juan G."'
Process Mining offers a powerful framework for uncovering, analyzing, and optimizing real-world business processes. Petri nets provide a versatile means of modeling process behavior. However, traditional methods often struggle to effectively compare
Externí odkaz:
http://arxiv.org/abs/2404.17129
Autor:
Braberman, Víctor A., Bonomo-Braberman, Flavia, Charalambous, Yiannis, Colonna, Juan G., Cordeiro, Lucas C., de Freitas, Rosiane
Prompting has become one of the main approaches to leverage emergent capabilities of Large Language Models [Brown et al. NeurIPS 2020, Wei et al. TMLR 2022, Wei et al. NeurIPS 2022]. Recently, researchers and practitioners have been "playing" with pr
Externí odkaz:
http://arxiv.org/abs/2404.09384
Deep Learning models have achieved remarkable performance in tasks such as image classification or generation, often surpassing human accuracy. However, they can struggle to learn new tasks and update their knowledge without access to previous data,
Externí odkaz:
http://arxiv.org/abs/2312.10549
We present a method for finding envy-free prices in a combinatorial auction where the consumers' number $n$ coincides with that of distinct items for sale, each consumer can buy one single item and each item has only one unit available. This is a par
Externí odkaz:
http://arxiv.org/abs/2308.12858
Camera traps are a method for monitoring wildlife and they collect a large number of pictures. The number of images collected of each species usually follows a long-tail distribution, i.e., a few classes have a large number of instances, while a lot
Externí odkaz:
http://arxiv.org/abs/2206.12458
Monitoring wildlife through camera traps produces a massive amount of images, whose a significant portion does not contain animals, being later discarded. Embedding deep learning models to identify animals and filter these images directly in those de
Externí odkaz:
http://arxiv.org/abs/2104.08859
Autor:
Gatto, Bernardo B., Colonna, Juan G., Santos, Eulanda M. dos, Koerich, Alessandro L., Fukui, Kazuhiro
Automatic analysis of bioacoustic signals is a fundamental tool to evaluate the vitality of our planet. Frogs and bees, for instance, may act like biological sensors providing information about environmental changes. This task is fundamental for ecol
Externí odkaz:
http://arxiv.org/abs/2103.10166
Publikováno v:
In Ecological Informatics September 2023 76
Autor:
Colonna, Juan G., Nakamura, Eduardo F.
Publikováno v:
In Digital Signal Processing November 2018 82:64-79
Publikováno v:
In Expert Systems With Applications 15 September 2018 106:107-120