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pro vyhledávání: '"Colombini, Esther Luna"'
Data derived from the realm of the social sciences is often produced in digital text form, which motivates its use as a source for natural language processing methods. Researchers and practitioners have developed and relied on artificial intelligence
Externí odkaz:
http://arxiv.org/abs/2406.00393
Autor:
Rossi, Leonardo de Lellis, Berto, Leticia Mara, Rohmer, Eric, Costa, Paula Paro, Gudwin, Ricardo Ribeiro, Colombini, Esther Luna, Simoes, Alexandre da Silva
The ability to automatically learn movements and behaviors of increasing complexity is a long-term goal in autonomous systems. Indeed, this is a very complex problem that involves understanding how knowledge is acquired and reused by humans as well a
Externí odkaz:
http://arxiv.org/abs/2305.00597
With the widespread adoption of deep learning, reinforcement learning (RL) has experienced a dramatic increase in popularity, scaling to previously intractable problems, such as playing complex games from pixel observations, sustaining conversations
Externí odkaz:
http://arxiv.org/abs/2203.01387
This paper shows that CIDEr-D, a traditional evaluation metric for image description, does not work properly on datasets where the number of words in the sentence is significantly greater than those in the MS COCO Captions dataset. We also show that
Externí odkaz:
http://arxiv.org/abs/2109.13701
In humans, Attention is a core property of all perceptual and cognitive operations. Given our limited ability to process competing sources, attention mechanisms select, modulate, and focus on the information most relevant to behavior. For decades, co
Externí odkaz:
http://arxiv.org/abs/2103.16775
Automatically describing images using natural sentences is an important task to support visually impaired people's inclusion onto the Internet. It is still a big challenge that requires understanding the relation of the objects present in the image a
Externí odkaz:
http://arxiv.org/abs/2103.11474
Unmanned Aerial Vehicles (UAVs), or drones, have recently been used in several civil application domains from organ delivery to remote locations to wireless network coverage. These platforms, however, are naturally unstable systems for which many dif
Externí odkaz:
http://arxiv.org/abs/2010.02293
Publikováno v:
In Neurocomputing 30 September 2021 455:97-110
Akademický článek
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Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; August 2024, Vol. 35 Issue: 8 p10237-10257, 21p