Learning predictive signatures of HLA type from T-cell repertoires. by María Ruiz Ortega, Mikhail V Pogorelyy, Anastasia A Minervina, Paul G Thomas, Thierry Mora, Aleksandra M Walczak

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Machine Learning Applications based on SVM Classification A Review by Dakhaz Mustafa Abdullah, Adnan Mohsin Abdulazeez

“… Extending technologies and data development culminated in the need for quicker and more reliable processing of massive data sets. Machine Learning techniques are used excessively. This paper, therefore, attempts to deal with data processing, using a support vector machine (SVM) algorithm in different fields since it is a reliable, efficient classification method in the area of machine learning. …”
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Interracial contact shapes racial bias in the learning of person-knowledge by Margaret Welte, Tzipporah P. Dang, Shaina Rosenblum, Jennifer T. Kubota, Jasmin Cloutier

“…To better understand how perceived race can bias person memory, the present study examined how self-identified White perceivers’ interracial contact impacts learning of perceptual cues and person-knowledge about perceived Black and White others over five sessions of training. …”
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A model of digital transformation of the learning process in higher education by Olga V. Ivanova

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Design of System-of-System Acquisition Analysis Using Machine Learning by Fahad H. Alshammari

“…In the last few decades, machine learning and data analytics have been widely used in system design and acquisitions. …”
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Features of E-Learning of Personnel in Small and Medium-Sized Businesses by A. A. Paskova

Subjects: “…e-learning…”
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Data-Driven Learning-Based Fault Tolerant Stability Analysis by Lei Ge, Shun Chen

“…In this paper, a new data-driven learning method is investigated based on the dynamical data of the system. …”
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WEB based system for analysing mathematics learning results of students by Vytautas Janilionis, Mindaugas Baltutis

“… The data analysis models of mathematics learning results and web based software are presented in this paper. …”
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Prediction of Rooftop Photovoltaic Solar Potential Using Machine Learning by K. Mukilan, K. Thaiyalnayaki, Yagya Dutta Dwivedi, J. Samson Isaac, Amarjeet Poonia, Arvind Sharma, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, B. B. Subramanian, Adane Kassa

“…In this paper, we develop a prediction of solar potential across large photovoltaic panels from the roof tops using a machine learning method. The Restricted Boltzmann Machine (RBM) is the machine learning method used in the study to predict or forecast the solar potential in rooftops. …”
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Current Trends in Class Imbalance Learning for Software Defect Prediction by Somya R. Goyal

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Non-linear development in statistical learning of visual orthographic regularities by Rujun Duan, Qi Sun, Xiuhong Tong

“…npj Science of Learning…”
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Interpretable and integrative deep learning for discovering brain-behaviour associations by Corentin Ambroise, Antoine Grigis, Josselin Houenou, Vincent Frouin

“…Multi-view unsupervised learning frameworks, particularly deep learning models, present promising solutions for integrating and analysing complex datasets. …”
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Sequence Learning and Chunk Stability in Guinea Baboons (Papio papio) by Laure Tosatto, Joël Fagot, Arnaud Rey

Subjects: “…Sequence learning…”
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The Use of Machine Learning Methods in Road Safety Research in Poland by Anna Borucka, Sebastian Sobczuk

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A Comprehensive Investigation of Fraud Detection Behavior in Federated Learning by Sun Rui

“…This research delves into the application of Federated Learning (FL) models for detecting fraud across different financial bodies. …”
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Reading Literacy Skills of Grade IV Students in Distance Learning by Monica Handayani, Risa Handini, Ristu Kinani, Raden Sudarwo

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PARENTING SELF-EFFICACY BASED ON STIFIN AS INTELLEGENCE MECHINE OF LEARNING by Eka Diana, Siti Wardatus Sholehah

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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

Subjects: “…Deep Learning…”
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E-learning Capacity Building for Kabale University Teaching Staff by Kabale University

Subjects: “…E-Learning…”
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The Influence of the Contextual Teaching and Learning (CTL) Learning Model on Students' Critical Thinking Ability in Class VIII Respiratory System Material at SMP Negeri 2 Gunungsari by Risa Umami, Arizatul Aslamiyah

Subjects: “…contextual teacing and learning (ctl)…”
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