Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Ekárt, Anikó"'
Contemporary Artificial Intelligence technologies allow for the employment of Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting healthy fruit from undesirable fruit, such as those which are mouldy or gangre
Externí odkaz:
http://arxiv.org/abs/2104.05647
In this work, we present the Chatbot Interaction with Artificial Intelligence (CI-AI) framework as an approach to the training of deep learning chatbots for task classification. The intelligent system augments human-sourced data via artificial paraph
Externí odkaz:
http://arxiv.org/abs/2010.05990
The novelty of this study consists in a multi-modality approach to scene classification, where image and audio complement each other in a process of deep late fusion. The approach is demonstrated on a difficult classification problem, consisting of t
Externí odkaz:
http://arxiv.org/abs/2007.10175
In speech recognition problems, data scarcity often poses an issue due to the willingness of humans to provide large amounts of data for learning and classification. In this work, we take a set of 5 spoken Harvard sentences from 7 subjects and consid
Externí odkaz:
http://arxiv.org/abs/2007.00659
The continuous expansion of the urban traffic sensing infrastructure has led to a surge in the volume of widely available road related data. Consequently, increasing effort is being dedicated to the creation of intelligent transportation systems, whe
Externí odkaz:
http://arxiv.org/abs/2002.06095
Publikováno v:
Soft Computing 2019
In this work, we argue that the implications of Pseudo and Quantum Random Number Generators (PRNG and QRNG) inexplicably affect the performances and behaviours of various machine learning models that require a random input. These implications are yet
Externí odkaz:
http://arxiv.org/abs/1910.04701
This study suggests a new approach to EEG data classification by exploring the idea of using evolutionary computation to both select useful discriminative EEG features and optimise the topology of Artificial Neural Networks. An evolutionary algorithm
Externí odkaz:
http://arxiv.org/abs/1908.04784
Publikováno v:
In Scientia Horticulturae 5 February 2022 293
Publikováno v:
In Future Generation Computer Systems December 2020 113:579-596