A Bayesian active learning platform for scalable combination drug screens by Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey

“…Existing approaches use ad hoc fixed experimental designs then train machine learning models to impute unobserved combinations. …”
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Recurrent Deep Learning for Beam Pattern Synthesis in Optimized Antenna Arrays by Armando Arce, Fernando Arce, Enrique Stevens-Navarro, Ulises Pineda-Rico, Marco Cardenas-Juarez, Abel Garcia-Barrientos

Subjects: “…deep learning…”
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Novel distinguisher for SM4 cipher algorithm based on deep learning by Huijiao WANG, Xin ZHANG, Yongzhuang WEI, Lingchen LI

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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

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HCBPM: An Idea toward a Social Learning Environment for Humanoid Robot by Fady Alnajjar, Abdul Rahman Hafiz, Kazuyuki Murase

“…Several approaches have been proposed to support the learning stage of such controllers, where the robot can learn new behaviors by observing and/or receiving direct guidance from a human or even another robot. …”
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Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning by Hua Xiao, Zhongliang Wang, Xueying Cui, Liping Wang, Hongsheng Yang, Yingbiao Jia

“…In this article, we combine the respective advantages of model-based and learning-based approaches in a distributed compressed hyperspectral sensing framework, employing linear mixed model assumptions and spectral library learning to simultaneously improve the reconstruction speed and accuracy without using a large amount of additional hyperspectral data. …”
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The Application of Reinforcement Learning in Traffic Flow Prediction: Advantages, Problems, and Prospects by Li Minghui, Zhou Decheng, Zhang Shiqi

“…This article summarizes three traditional methods of TFP: parameter-based prediction, shallow machine learning-based prediction, and deep learning (DL)-based prediction. …”
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Non-binary Learning: a Series of Design Studios for an Ecofeminist Pedagogy by Noemí Gómez Lobo, Diego Martín Sánchez

“…Fostering diversity in schools of architecture and urban planning can be achieved not only by improving quotas and establishing much-needed positive actions, but also by preparing curricula, teaching methodologies and themes for learning about how to regenerate more just and inclusive environments that address the dual climate and social crises. …”
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Using machine learning to predict outcomes following transcarotid artery revascularization by Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Leen Al-Omran, Duminda N. Wijeysundera, Mohamad A. Hussain, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche-Nagle, Mohammed Al-Omran

Subjects: “…Machine learning…”
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A Guideline for Game Development-Based Learning: A Literature Review by Bian Wu, Alf Inge Wang

“…The empirical evidence of current findings gives a positive overall picture and can provide a useful reference to educators, practitioners, and researchers in the area of game-based learning.…”
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Editorial: Interdisciplinary or interprofessional learning as catalyst of change in healthcare and higher education by Nahla A. Gomaa, Diane H. Quinn, Aubrey H. Wang

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Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms by Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang

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Phygital Education through Storytelling and Learning by Doing: the Binario 9 ¾ project by Fabio Sartori, Claudia Maga, Barbara Tosi, Alessandro Varallo

“… Alternatives didactic methods, based on the educational theory “learning by doing”, have been suggested in the transition from Curricula Based Education to Competence-Based Education (CBE). …”
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Trajectory to professorship for third space practitioners: a learning developer perspective by Steve Briggs

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The Harmonic Walk: An Interactive Physical Environment to Learn Tonal Melody Accompaniment by Marcella Mandanici, Antonio Rodà, Sergio Canazza

“…The Harmonic Walk is an interactive physical environment designed for learning and practicing the accompaniment of a tonal melody. …”
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Design of Intelligent Recognition English Translation Model Based on Deep Learning by Yuexiang Ruan

“…Additionally, a new and popular branch of machine learning is deep learning which has achieved excellent results in research fields such as natural language processing. …”
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Sex identification in rainbow trout using genomic information and machine learning by Andrei A. Kudinov, Antti Kause

“…In our study, we demonstrated the use of the Extreme Gradient Boosting approach from the supervised machine learning gradient boost framework to predict sex from unimputed genomic data, when the suitability of the markers was unknown a priori. …”
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Adversarial Attack Detection in Smart Grids Using Deep Learning Architectures by Stephanie Ness

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Lung Diseases Diagnosis-Based Deep Learning Methods: A Review by Shahad A. Salih, Sadik Kamel Gharghan, Jinan F. Mahdi, Inas Jawad Kadhim

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Interpretable machine learning for predicting sepsis risk in emergency triage patients by Zheng Liu, Wenqi Shu, Teng Li, Xuan Zhang, Wei Chong

Subjects: “…Interpretable machine learning…”
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