Search Results - "supervised learning algorithm"

Car Emotion Labeling Based on Color-SSL Semi-Supervised Learning Algorithm by Color Augmentation by Guo, Zhuen, Lin, Li, Liu, Baoqi, Zhang, Li, Chang, Kaixin, Li, Lingyun, Jiang, Zuoya, Wu, Jinmeng

“…In the era of emotional consumption, it has become a hot topic that commodities meet consumers’ emotional needs. As a necessity of life, the car also needs to…”
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Supervised learning algorithm for analysis of communication signals in the weakly electric fish Apteronotus leptorhynchus by Lehotzky, Dávid, Zupanc, Günther K. H.

“…-)types, thus being subject to the investigator’s bias. To address this deficiency, we have developed a supervised learning algorithm for the detection of subtypes of chirps…”
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A Novel Maximum Mean Discrepancy-Based Semi-Supervised Learning Algorithm by Huang, Qihang, He, Yulin, Huang, Zhexue

“…To provide more external knowledge for training self-supervised learning (SSL) algorithms, this paper proposes a maximum mean discrepancy-based SSL (MMD-SSL)…”
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Porphyry Cu-Au prospectivity modelling using semi-supervised learning algorithm in Dehsalm district, eastern Iran by Majid Keykhay-Hosseinpoor, Amir Hossein Kouhsari, Amin Hossein Morshedy, Alok Porwal

“…Introduction The identification of potentially mineralized areas has progressed with the use and interpretation of all available exploratory data in the form…”
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Car Driver's Sympathetic Reaction Detection Through Electrodermal Activity and Electrocardiogram Measurements by Zontone, Pamela, Affanni, Antonio, Bernardini, Riccardo, Piras, Alessandro, Rinaldo, Roberto, Formaggia, Fabio, Minen, Diego, Minen, Michela, Savorgnan, Carlo

“… We extract statistical features from the ECG and SPR signals in order to classify signal segments and identify the presence or absence of emotional events via a Supervised Learning Algorithm…”
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Stress Evaluation in Simulated Autonomous and Manual Driving through the Analysis of Skin Potential Response and Electrocardiogram Signals by Zontone, Pamela, Affanni, Antonio, Bernardini, Riccardo, Del Linz, Leonida, Piras, Alessandro, Rinaldo, Roberto

“… Statistical features of signal blocks are sent to a Supervised Learning Algorithm, which classifies…”
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Supervised Learning Algorithm: Enhancing Reflective Writing Skills within the Context of the International Project 'Out of Eden Walk' and the Principles of 'Slow' Journalism by Adilkhanova, Begaim, Zhumadilova, Ayaulym, Tripathi, Sudhanshu

“… Employing a project-based learning approach, our goal was to enhance students' writing abilities, particularly in the English subject…”
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Forecasting Auroral Substorms from Observed Data with a Supervised Learning Algorithm by Tanaka, Takanori, Kitao, Daisuke, Sato, Yuka, Tanaka, Yoshimasa, Ikeda, Daisuke

“…Auroras are beautiful phenomena and attract many people. However, its physical model still remains a subject of dispute because it is caused by the interaction…”
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An Improved Fuzzy Neural Network for Solving Uncertainty in Pattern Classification and Identification by M. Hariri, S. B. Shokouhi, N. Mozayani

“… In this paper, we modify the structure of a useful UnsupervisedFuzzy Neural Network (UFNN) of Kwan and Cai, and compose a new FNN with 6 types offuzzy neurons and its associated self organizing supervised learning algorithm…”
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Electrodiagnostic accuracy in polyneuropathies: supervised learning algorithms as a tool for practitioners by Uncini, Antonino, Aretusi, Graziano, Manganelli, Fiore, Sekiguchi, Yukari, Magy, Laurent, Tozza, Stefano, Tsuneyama, Atsuko, Lefour, Sophie, Kuwabara, Satoshi, Santoro, Lucio, Ippoliti, Luigi

“… We investigated the electrodiagnostic accuracy of three supervised learning algorithms (SLAs): shrinkage discriminant analysis, multinomial logistic regression, and support vector machine (SVM…”
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Analyzing and Predicting Student Performance in Discrete Mathematics Using Supervised Learning Algorithms by Uddin, Mohammad Salah

“…Discrete Mathematics is an important and challenging course for computer science and engineering students. It includes topics, such as logic, sets, proofs,…”
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Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation by Huerta, Alvaro, Martinez, Arturo, Carneiro, Davide, Bertomeu-Gonzalez, Vicente, Rieta, Jose J., Alcaraz, Raul

“… Although most have reported successful performance on ECG signals acquired from healthy subjects, only a recent…”
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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects by Moradi, Elaheh, Pepe, Antonietta, Gaser, Christian, Huttunen, Heikki, Tohka, Jussi

“… First, we developed a novel MRI biomarker of MCI-to-AD conversion using semi-supervised learning and then integrated it with age and cognitive measures about the subjects using a supervised learning…”
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Assessing occupational risk of heat stress at construction: A worker-centric wearable sensor-based approach by Shakerian, Shahrad, Habibnezhad, Mahmoud, Ojha, Amit, Lee, Gaang, Liu, Yizhi, Jebelli, Houtan, Lee, SangHyun

“…•A worker-centered process for assessing workers' heat strain is presented.•The developed data-driven models can discern heat strain levels with 92%…”
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Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification by Xiang, Shuiying, Ren, Zhenxing, Song, Ziwei, Zhang, Yahui, Guo, Xingxing, Han, Genquan, Hao, Yue

“… Simulation results show that the proposed all-optical SNN is capable of recognizing ten numbers by a supervised learning algorithm, in which the…”
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Machine learning based canine posture estimation using inertial data by Marcato, Marinara, Tedesco, Salvatore, O’Mahony, Conor, O’Flynn, Brendan, Galvin, Paul

“… The system was composed of Inertial Measurement Units (IMUs) that are commercially available, and a supervised learning algorithm which was developed for different behaviours…”
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Multi-modal RGB–Depth–Thermal Human Body Segmentation by Palmero, Cristina, Clapés, Albert, Bahnsen, Chris, Møgelmose, Andreas, Moeslund, Thomas B., Escalera, Sergio

“… A supervised learning algorithm then fuses the output likelihoods over cells in a stacked feature vector representation…”
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Text mining for identification of biological entities related to antibiotic resistant organisms by Fortunato Costa, Kelle, Almeida Araújo, Fabrício, Morais, Jefferson, Lisboa Frances, Carlos Renato, Ramos, Rommel T. J.

“…Antimicrobial resistance is a significant public health problem worldwide. In recent years, the scientific community has been intensifying efforts to combat…”
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Sleep Classification With Artificial Synthetic Imaging Data Using Convolutional Neural Networks by Shi, Lan, Wank, Marianthie, Chen, Yan, Wang, Yibo, Liu, Yachuan, Hector, Emily C., Song, Peter X.K.

“…) the use of an image classification supervised learning algorithm, convolutional neural network (CNN…”
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Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels by Zhou, Ran, Ou, Yanghan, Fang, Xiaoyue, Azarpazhooh, M. Reza, Gan, Haitao, Ye, Zhiwei, Spence, J. David, Xu, Xiangyang, Fenster, Aaron

“… Thus, we propose an image reconstruction-based self-supervised learning algorithm (IR-SSL) for carotid plaque segmentation when few labeled images are available…”
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