Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm by Shahrizal, Saat, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali

“…The MSEDA was used to tune the brain emotional learning-based intelligent controller (BELBIC) together with a proportional-integral-derivative (PID) controller. …”
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Connecting genomic results for psychiatric disorders to human brain cell types and regions reveals convergence with functional connectivity by Yao, S, Harder, A, Darki, F, Chang, Y, Li, A, Nikouei, K, Volpe, G, Lundström, JN, Zeng, J, Wray, NR, Lu, Y, Sullivan, PF, Hjerling-Leffler, J

“…By integrating genomic insights from genome-wide association studies with a comprehensive single-cell transcriptomic atlas of the adult human brain, we prioritized specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. …”

A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs by Mao, X, Huang, Y, Jin, Y, Wang, L, Chen, X, Liu, H, Yang, X, Xu, H, Luan, X, Xiao, Y, Feng, S, Zhu, J, Zhang, X, Jiang, R, Zhang, S, Chen, T

“…To address these challenges, we introduce PhenoBrain, a fully automated artificial intelligence pipeline. PhenoBrain utilizes a BERT-based natural language processing model to extract phenotypes from clinical texts in EHRs and employs five new diagnostic models for differential diagnoses of rare diseases. …”

Virtual human influencers in live streaming commerce on social media platforms: exploring parasocial interactions with consumers in China by Yao, Lu, Tugiman, Nursafwah, Salehhuddin Sharipudin, Mohamad-Noor

“…The research explores the expanding role of virtual human influencers (VHIs) in digital marketing via parasocial interactions (PSIs) in live streaming commerce, with a focus on Chinese consumers. …”
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ViObject: Harness Passive Vibrations for Daily Object Recognition with Commodity Smartwatches by Chen, Wenqiang, Lin, Shupei, Peng, Zhencan, Parizi, Farshid Salemi, Heo, Seongkook, Patel, Shwetak, Matusik, Wojciech, Zhao, Wei, Stankovic, John

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Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data by Xu, Xuhai, Yao, Bingsheng, Dong, Yuanzhe, Gabriel, Saadia, Yu, Hong, Hendler, James, Ghassemi, Marzyeh, Dey, Anind K., Wang, Dakuo

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Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data by Balagopalan, Aparna, Madras, David, Yang, David H., Hadfield-Menell, Dylan, Hadfield, Gillian K., Ghassemi, Marzyeh

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Advancing health coaching: a comparative study of large language model and health coaches by Ong, Qi Chwen, Ang, Chin-Siang, Chee, Davidson Zun Yin, Lawate, Ashwini, Sundram, Frederick, Dalakoti, Mayank, Pasalic, Leonardo, To, Daniel, Erlikh Fox, Tatiana, Bojic, Iva, Car, Josip

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Human Centered Computing : 66th International Conference, HCC 2020, Virtual Event, December 14-15, 2020 : Revised Selected Papers / by HCC (Conference : Human Centered Computing) (6th : 2020 : Online), organiser 642973, Zu, Qiaohong, editor 642970, Tang, Yong, editor 642971, Mladenović, Vladimir, editor 642972

“…This book constitutes thoroughly reviewed, revised and selected papers from the 6th International Conference on Human Centered Computing, HCC 2020, held in virtually, due to COVID- 19, in December 2020. …”

"How fancy you are to make us use your fancy tool": Coordinating Individuals' Tool Preference over Group Boundaries by Zhang, Qianqia (Queenie), Park, Soya, Muller, Michael, Karger, David R.

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Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training by Hosseini, Eghbal A., Schrimpf, Martin, Zhang, Yian, Bowman, Samuel, Zaslavsky, Noga, Fedorenko, Evelina

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Aiding therapy using speech emotion recognition by Koh, En Rong

“…We will explore the use of a Convolutional Neural network, a type of Deep Learning method, to train and predict human emotions. We will also examine the different types of time-frequency features in audio signal processing and how they help in classifying human emotion. …”
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Modelling self-awareness in social robot by Zhang, Jiaheng

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Concept-level sentiment analysis in the manufacturing industry by Teng, He Xu

“…The rapid evolution in the field of artificial intelligence (AI) have produced huge impacts on human society, business and industries. …”
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News article named entity recognition and analytics by Goh, Nicholas

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Gold price prediction using transformers by Wong, Stanley Qi Ren

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Benchmarking novel graph neural networks by Bhagwat, Abhishek

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Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

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Car cabin surveillance using computer vision by Soegeng, Andrew Ivan

“…Driver assistance systems (DAS) in cars has become more intelligent than ever and it has enabled autonomous driving in certain conditions. …”
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Rationally trust, but emotionally? The roles of cognitive and affective trust in laypeople's acceptance of AI for preventive care operations by Kyung, Nakyung, Kwon, Eric Hyeokkoo

“…Artificial intelligence (AI) is transforming healthcare operations. …”
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