Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Pratyusha Rakshit"'
Autor:
Pratyusha Rakshit, Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Maria T. Acaiturri-Ayesta, Jose A. Lozano
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract This paper presents a novel machine learning approach to perform an early prediction of the healthcare cost of breast cancer patients. The learning phase of our prediction method considers the following two steps: (1) in the first step, the
Externí odkaz:
https://doaj.org/article/f4888c91e9e046edab973f1eea026540
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:1217-1231
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3177bb43401442613938a8f78a1b76f9
https://doi.org/10.1109/tcds.2021.3101897
https://doi.org/10.1109/tcds.2021.3101897
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 12:618-635
Perceptual-ability informally refers to the ability of a person to recognize a stimulus. This article deals with color perceptual-ability measurement of subjects using brain response to basic color (red, green, and blue) stimuli. It also attempts to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b156cbaa16dac7785106c0420da514cd
https://doi.org/10.1109/tcds.2019.2959138
https://doi.org/10.1109/tcds.2019.2959138
Publikováno v:
Cognitive Modeling of Human Memory and Learning. :1-50
This chapter overviews memory and learning from four different perspectives. First, it reviews the philosophical models of human memory. In this regard, the chapter examines Atkinson and Shiffrin's model, Tulving's model, Tveter's model, and the well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88a48eecfff918508ab9d5665be3a993
https://doi.org/10.1002/9781119705925.ch1
https://doi.org/10.1002/9781119705925.ch1
Publikováno v:
Cognitive Modeling of Human Memory and Learning. :93-136
This chapter attempts to model short‐term memory (STM) for shape reconstruction tasks by employing a four‐stage deep brain leaning network (DBLN), where the first two stages are built with Hebbian learning and the last two stages with type‐2 fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e313a9aada7ddc168c10b0a04d3767cb
https://doi.org/10.1002/9781119705925.ch3
https://doi.org/10.1002/9781119705925.ch3
Publikováno v:
Cognitive Modeling of Human Memory and Learning. :137-174
This chapter attempts to measure the motor learning skill of subjects using 2 well‐known brain signals, called error‐related potential (ErrP) and N400. It aims to develop a hybrid brain–computer interfacing system with a motivation to detect mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee367684c9dc1bfcd205f661e28240d1
https://doi.org/10.1002/9781119705925.ch4
https://doi.org/10.1002/9781119705925.ch4
Publikováno v:
Cognitive Modeling of Human Memory and Learning. :203-237
This chapter addresses a novel approach to assess and classify, by near‐Infrared spectroscopy, the cognitive load of subjects from their hemodynamic response while engaged in motor learning tasks such as vehicle driving. Classification of cognitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cabac2cfd0501f3ee6bf00a2a2284603
https://doi.org/10.1002/9781119705925.ch6
https://doi.org/10.1002/9781119705925.ch6
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 4:571-588
The paper attempts to model short-term memory (STM) for shape-reconstruction tasks by employing a 4-stage deep brain leaning network (DBLN), where the first two stages are built with Hebbian learning and the last two stages with Type-2 Fuzzy logic. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13824107084efa93bf17706c355eabc4
https://doi.org/10.1109/tetci.2019.2937566
https://doi.org/10.1109/tetci.2019.2937566
Autor:
Pratyusha Rakshit
Publikováno v:
Information Sciences. 511:243-264
The paper proposes a novel strategy to adapt sample size of population members of a multi-objective optimization (MOO) problem, where the objective surface is contaminated with noise. The sample size, used for periodic fitness evaluation of a solutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d8baa81a787b66189c58fc4477dca55
https://doi.org/10.1016/j.ins.2019.09.060
https://doi.org/10.1016/j.ins.2019.09.060
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 3:245-260
This paper addresses a novel approach to assess and classify the cognitive load of subjects from their hemodynamic response while engaged in motor learning tasks, such as vehicle driving. A set of complex motor-activity-learning stimuli for braking,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8700a5edc304ebe8a3e01b1f029d010a
https://doi.org/10.1109/tetci.2018.2868323
https://doi.org/10.1109/tetci.2018.2868323