Search Results - "Probability and Statistics in Computer Science" :: K.UTB vyhledávací portál

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Fusion of forehead EEG with machine vision for real-time fatigue detection in an automatic processing pipeline

by Min, Jianliang, Cai, Ming, Gou, Chao, Xiong, Chen, Yao, Xuejiao
Published in Neural computing & applications (01.04.2023)

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Iterative learning-based path control for robot-assisted upper-limb rehabilitation

by Maqsood, Kamran, Luo, Jing, Yang, Chenguang, Ren, Qingyuan, Li, Yanan
Published in Neural computing & applications (01.11.2023)

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Fabrication of a portable device for stress monitoring using wearable sensors and soft computing algorithms

by Golgouneh, Alireza, Tarvirdizadeh, Bahram
Published in Neural computing & applications (01.06.2020)

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Properties of the stochastic approximation EM algorithm with mini-batch sampling

by Kuhn, Estelle, Matias, Catherine, Rebafka, Tabea
Published in Statistics and computing (01.11.2020)

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Detection of weather images by using spiking neural networks of deep learning models

by Toğaçar, Mesut, Ergen, Burhan, Cömert, Zafer
Published in Neural computing & applications (01.06.2021)

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Path tracking control of autonomous vehicles via prescribed performance approach

by Zhang, Sucai, Wang, Yongfu, Li, Gang, Wang, Yunlong
Published in Neural computing & applications (01.02.2025)

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U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts

by Zottin, Silvia, De Nardin, Axel, Colombi, Emanuela, Piciarelli, Claudio, Pavan, Filippo, Foresti, Gian Luca
Published in Neural computing & applications (01.07.2024)

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MI-BMPI motor imagery brain–mobile phone dataset and performance evaluation of voting ensembles utilizing QPDM

by Yilmaz, Cagatay Murat, Yilmaz, Bahar Hatipoglu, Kose, Cemal
Published in Neural computing & applications (01.02.2025)

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Attention with kernels for EEG-based emotion classification

by Kuang, Dongyang, Michoski, Craig
Published in Neural computing & applications (01.04.2024)

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Flexible Bayesian modeling for longitudinal binary and ordinal responses

by Kang, Jizhou, Kottas, Athanasios
Published in Statistics and computing (01.12.2024)

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An integrated decision-making process for risk analysis of decentralized finance

by Kirişci, Murat
Published in Neural computing & applications (01.03.2025)

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Virtual reality and machine learning in the automatic photoparoxysmal response detection

by Moncada, Fernando, Martín, Sofía, González, Víctor M., Álvarez, Víctor M., García-López, Beatriz, Gómez-Menéndez, Ana Isabel, Villar, José R.
Published in Neural computing & applications (01.03.2023)

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Event-triggered leader-following synchronization of delayed dynamical networks with intermittent coupling

by Sun, Mei, Lyu, Deguang, Jia, Qiang
Published in Neural computing & applications (01.04.2022)

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Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds

by Barua, Prabal Datta, Keles, Tugce, Kuluozturk, Mutlu, Kobat, Mehmet Ali, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San, Acharya, U. Rajendra
Published in Neural computing & applications (01.09.2024)

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Gesture detection from sEMG signals based on similarity learning

by Celik, Semih, Bayazit, Ulug
Published in Neural computing & applications (01.08.2025)

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Sentiment and hashtag-aware attentive deep neural network for multimodal post popularity prediction

by Bansal, Shubhi, Kumar, Mohit, Raghaw, Chandravardhan Singh, Kumar, Nagendra
Published in Neural computing & applications (01.02.2025)

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Data augmentation and feature extraction using deep learning for motor imagery EEG-based brain–computer interface classification

by Anjerani, Marzieh, Pedram, Mir Mohsen, Mirzarezaee, Mitra
Published in Neural computing & applications (01.08.2025)

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Efficient importance sampling for large sums of independent and identically distributed random variables

by Ben Rached, Nadhir, Haji-Ali, Abdul-Lateef, Rubino, Gerardo, Tempone, Raúl
Published in Statistics and computing (01.11.2021)

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Assessment of machine learning strategies for simplified detection of autism spectrum disorder based on the gut microbiome composition

by Olaguez-Gonzalez, Juan M., Schaeffer, S. Elisa, Breton-Deval, Luz, Alfaro-Ponce, Mariel, Chairez, Isaac
Published in Neural computing & applications (01.05.2024)

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A deep perceptual framework for affective video tagging through multiband EEG signals modeling

by Sharma, Shanu, Dubey, Ashwani Kumar, Ranjan, Priya, Rocha, Alvaro
Published in Neural computing & applications (01.04.2025)

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