Search Results - "Computer Science - Neural and Evolutionary Computing"

A fresh approach to evaluate performance in distributed parallel genetic algorithms by Harada, Tomohiro, Alba, Enrique, Luque, Gabriel

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A Generalized Evolutionary Metaheuristic (GEM) Algorithm for Engineering Optimization by Xin-She, Yang

“…Many optimization problems in engineering and industrial design applications can be formulated as optimization problems with highly nonlinear objectives, subject to multiple complex constraints…”
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Salp Swarm Optimization: a Critical Review by Castelli, Mauro, Manzoni, Luca, Mariot, Luca, Nobile, Marco S, Tangherloni, Andrea

“… However, the original work was characterized by some conceptual and mathematical flaws, which influenced all ensuing papers on the subject…”
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Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms by He, Jun, Zhou, Yuren

“… To answer this question, {\color{red} we combine drift analysis with fitness levels and define the tightest bound problem as a constrained multi-objective optimization problem subject to fitness levels…”
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Neural Style Transfer with Twin-Delayed DDPG for Shared Control of Robotic Manipulators by Fernandez-Fernandez, Raul, Aggravi, Marco, Giordano, Paolo Robuffo, Victores, Juan G, Pacchierotti, Claudio

“…Neural Style Transfer (NST) refers to a class of algorithms able to manipulate an element, most often images, to adopt the appearance or style of another one…”
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EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia by Francisco Jesus Martinez-Murcia, Ortiz, Andrés, Górriz, Juan Manuel, Ramírez, Javier, Lopez-Perez, Pedro Javier, López-Zamora, Miguel, Luque, Juan Luis

“…The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at…”
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Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor by Ruixin Lia, Zhaoa, Guoxu, Muir, Dylan Richard, Ling, Yuya, Burelo, Karla, Khoei, Mina, Wang, Dong, Xing, Yannan, Qiao, Ning

“…Analyzing electroencephalogram (EEG) signals to detect the epileptic seizure status of a subject presents a challenge to existing technologies aimed at providing timely and efficient diagnosis…”
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Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model by Cui, Jian, Zirui Lan, Zheng, Tianhu, Liu, Yisi, Sourina, Olga, Wang, Lipo, Müller-Wittig, Wolfgang

“…For EEG-based drowsiness recognition, it is desirable to use subject-independent recognition since conducting calibration on each subject is time-consuming…”
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Planning with Biological Neurons and Synapses by d'Amore, Francesco, Mitropolsky, Daniel, Crescenzi, Pierluigi, Natale, Emanuele, Papadimitriou, Christos H

“…We revisit the planning problem in the blocks world, and we implement a known heuristic for this task. Importantly, our implementation is biologically…”
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Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning by Hu, Xiao, Wang, Tianshu, Gong, Min, Yang, Shaoshi

“… For the EFV, the objective of the guidance design entails progressively maximizing the residual velocity, subject to the constraint imposed by the given evasion distance…”
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Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU by Tessier, Hugo, Gripon, Vincent, Léonardon, Mathieu, Arzel, Matthieu, Bertrand, David, Hannagan, Thomas

“… There is a large literature on the subject, but interestingly few works have measured the actual impact of pruning on energy…”
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Faked Speech Detection with Zero Prior Knowledge by Sahar Al Ajmi, Hayat, Khizar, Al Obaidi, Alaa M, Kumar, Naresh, Najmuldeen, Munaf, Magnier, Baptiste

“…Audio is one of the most used ways of human communication, but at the same time it can be easily misused to trick people. With the revolution of AI, the…”
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Positive definite nonparametric regression using an evolutionary algorithm with application to covariance function estimation by Kang, Myeongjong

“…We propose a novel nonparametric regression framework subject to the positive definiteness constraint…”
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A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation by M Ganesh Kumar, Tan, Cheston, Libedinsky, Camilo, Shih-Cheng, Yen, Andrew Yong-Yi Tan

“…Navigation to multiple cued reward locations has been increasingly used to study rodent learning. Though deep reinforcement learning agents have been shown to…”
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Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing by Pale, Una, Teijeiro, Tomas, Atienza, David

“…Epilepsy is a chronic neurological disorder with a significant prevalence. However, there is still no adequate technological support to enable epilepsy…”
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Co-evolutionary Probabilistic Structured Grammatical Evolution by Mégane, Jessica, Lourenço, Nuno, Machado, Penousal

“… During the evolutionary process, both the grammar and the genotype are subject to variation operators. The performance of the proposed approach is compared to 3 different methods, namely, Grammatical Evolution (GE…”
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Subjectivity and complexity of facial attractiveness by Ibáñez-Berganza, Miguel, Amico, Ambra, Loreto, Vittorio

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Synaptic metaplasticity in binarized neural networks by Laborieux, Axel, Ernoult, Maxence, Hirtzlin, Tifenn, Querlioz, Damien

“…Unlike the brain, artificial neural networks, including state-of-the-art deep neural networks for computer vision, are subject to "catastrophic forgetting…”
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Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution by Perez, Sarah, Poncet, Philippe

“…). Pore-scale modeling of reactive flow offers a valuable opportunity to investigate the evolution of macro-scale properties subject to dynamic processes…”
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GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals by Hou, Yimin, Jia, Shuyue, Lun, Xiangmin, Ziqian Hao, Shi, Yan, Yang, Li, Zeng, Rui, Lv, Jinglei

“…Towards developing effective and efficient brain-computer interface (BCI) systems, precise decoding of brain activity measured by electroencephalogram (EEG),…”
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