Multitask Learning with Local Attention for Tibetan Speech Recognition by Hui Wang, Fei Gao, Yue Zhao, Li Yang, Jianjian Yue, Huilin Ma

“…Inspired by the attention mechanism, we introduce the local attention to automatically tune the weights of feature frames in a window and pay different attention on context information for multitask learning. The experimental results show that our method improves the accuracies of speech recognition for all Tibetan dialects in three-task learning, compared with the baseline model. …”
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APPLICATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN ACADEMIC LIBRARIES by Adedeji Daniel GBADEBO

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Identification on the structures of block ciphers using machine learning by Ruiqi XIA, Manman LI, Shaozhen CHEN

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Online hierarchical reinforcement learning based on interrupting Option by Fei ZHU, Zhi-peng XU, Quan LIU, Yu-chen FU, Hui WANG

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VIDEO-BASED LEARNING IN THE DIGITAL AGE: CHALLENGES AND OPPORTUNITIES by Oxana Khomyshak

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Clinical Research Network: JHCRN Infrastructure and Lessons Learned by Rahul Kashyap, Gayane Yenokyan, Robert Joyner, Melissa Gerstenhaber, Mary Alderfer, Erika Siegrist, Joan Moore, Channing J. Paller, Hanan Aboumatar, James J. Potter, Stanley Watkins Jr, John E. Niederhuber, Daniel E. Ford, Adrian Dobs

“…We have discussed vision, governance, infrastructure, participating hospitals' characteristics, and lessons learned in creating this partnership. Designed to leverage organized patient communities, community‐based investigators, and academic researchers, the JHCRN provides expedited research across nine health systems in the mid‐Atlantic region. …”
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Behavior authentication of Web users based on machine learning by Zenan WU, Liqin TIAN, Zhigang WANG

“…According to the security problem of Web user information,the user behavior was analyzed and authenticated by the method of machine learning.First of all,through the principal component analysis to reduce the dimension of the original data set,then use the SVM algorithm to allow the computer to learn the history of user behavior evidence,to get a model to identify the user's identity.The practical application and theoretical analysis show that the model in user behavior identification authentication,can be more accurate and efficient classification of dangerous users and trusted users,analysis lay a solid theoretical and practical basis for the high performance user behavior such as electronic commerce,network finance and other key of Internet applications.…”
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Lessons Learned from Evaluations of Citizen Science Programs by Luke Gommerman, Martha C. Monroe

“…FOR291/FR359: Lessons Learned from Evaluations of Citizen Science Programs (ufl.edu) …”
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ANALYSIS AND EVALUATION OFA LANGUAGE TEACHING/LEARNING EXPERIENCE by Nazan TUTAŞ

“…<p>ANALYSIS AND EVALUATION OFA LANGUAGE<br />TEACHING/LEARNING EXPERIENCE</p>…”
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Predicting Heart Diseases by Selective Machine Learning Algorithms by N. Umar, S. K. Hassan, A. Umar, S. S. Ahmed

“…Consequently, the objective of this paper was to predict heart diseases using selective machine learning algorithms.  The leverage technique was evaluated using the Cleveland heart disease dataset. …”
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Pathways to learning in data-based policy innovation labs by Sojeong Kim, Tanya Heikkila, Adam M. Wellstead

Subjects: “…policy learning…”
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Information Houses as a New Information and Learning Center by Şenol Karadeniz

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Active learning of eutectic phase diagram in engineering courses by Erika Figueiredo Hehnes, Paula Carolina de Souza, Júlio César Dutra

“…It is based on active learning in which students are required to investigate experimentally three different eutectic alloys by using X-ray diffraction and metallography. …”
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Features of e-learning organization in a Modern University by Irina G. Bakanova, Jana Javorcikova

Subjects: “…e-learning…”
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Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

“…Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. …”
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Learning to Live Through Loss: Grief and the Mourning Process by Carolyn S. Wilken

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Unsupervised Learning in a Ternary SNN Using STDP by Abhinav Gupta, Sneh Saurabh

“…The proposed ternary SNN is trained in an unsupervised manner using the Spike Timing Dependent Plasticity (STDP) learning rule. A ternary neuron is implemented using a Dual-Pocket Tunnel Field effect transistor (DP-TFET). …”
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Curricular strategies and the English language learning in the Nursing career by David Urquia Clavero, Jayce Díaz Díaz, Alexei Fleites Del Sol

“…This article reflects on the development of the curricular strategy related to the English language learning in the Nursing career. It is found that there are difficulties that affect the integrative logic necessary to establish the links between content and communication skills, which can be improved if the systemic approach to language learning and the delimitation of knowledge by academic years are taken into account.…”
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The application of deep learning in early enamel demineralization detection by Ketai He, Rongxiu Zhang, Muchun Liang, Keyue Tian, Kaihui Luo, Ruoshi Chen, Jianpeng Ren, Jiajun Wang, Juan Li

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Leveraging deep feature learning for handwriting biometric authentication by Parvaneh Afzali, Abdoreza Rezapour, Ahmad Rezaee Jordehi

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