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Eugenia I. Toki, Jenny Pange, Giorgos Tatsis, Konstantinos Plachouras and Ioannis G. Tsoulos
Autism Spectrum Disorder is known to cause difficulties in social interaction and communication, as well as repetitive patterns of behavior, interests, or hobbies. These challenges can significantly affect the individual?s daily life. Therefore, it is cr...
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Felipe C. Farias, Teresa B. Ludermir and Carmelo J. A. Bastos-Filho
In this paper we propose a procedure to enable the training of several independent Multilayer Perceptron Neural Networks with a different number of neurons and activation functions in parallel (ParallelMLPs) by exploring the principle of locality and par...
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Guido Bologna
The explainability of connectionist models is nowadays an ongoing research issue. Before the advent of deep learning, propositional rules were generated from Multi Layer Perceptrons (MLPs) to explain how they classify data. This type of explanation techn...
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Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang, Julia Sloan and Jonathon Corrales de Oliveira
In the field of Artificial Intelligence (AI) and Machine Learning (ML), a common objective is the approximation of unknown target functions y=f(x)" role="presentation">??=??(??)y=f(x)
y
=
f
(
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using limited instances S=(x(i),y(i))" role="presentation...
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Roland Britz, Norbert Barta, Andreas Klingler, Andreas Schaumberger, Alexander Bauer, Erich M. Pötsch, Andreas Gronauer and Viktoria Motsch
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Sisay Tadesse Arzo, Zeinab Akhavan, Mona Esmaeili, Michael Devetsikiotis and Fabrizio Granelli
Recently, a multi-agent based network automation architecture has been proposed. The architecture is named multi-agent based network automation of the network management system (MANA-NMS). The architectural framework introduced atomized network functions...
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Lara Shboul, Kamil Fram, Saleh Sharaeh, Mohammad Alshraideh, Nancy Shaar and Njwan Alshraideh
Diagnosing gynecological diseases is a significant difficulty for the medical sector. Numerous patients visit gynecological clinics for pregnancies as well as for other illnesses, such as polycystic ovarian syndrome, ovarian cysts, endometritis, menopaus...
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Guido Bologna
In machine learning, ensembles of models based on Multi-Layer Perceptrons (MLPs) or decision trees are considered successful models. However, explaining their responses is a complex problem that requires the creation of new methods of interpretation. A n...
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T.A. Osipova,K.S. Zaytsev,V.O. Bifert
Pág. 23 - 29
Today there is a significant increase in the number of incidents involving the use of plastic cards, as well as a variety of fraudulent methods used by cybercriminals. The presented article is devoted to the application of machine learning methods to cou...
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Fernando Leonel Aguirre, Nicolás M. Gomez, Sebastián Matías Pazos, Félix Palumbo, Jordi Suñé and Enrique Miranda
In this paper, we extend the application of the Quasi-Static Memdiode model to the realistic SPICE simulation of memristor-based single (SLPs) and multilayer perceptrons (MLPs) intended for large dataset pattern recognition. By considering ex-situ traini...
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