Brain Informatics : 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings / by International Conference on Brain Informatics (14th : 2021 : Online), organiser 643024, Mahmud, Mufti, editor 643025, Kaiser, M. Shamim, editor 643026, Vassanelli, Stefano, editor 643027, Dai, Qionghai, 1964-, editor 643028, Zhong, Ning, 1956-, editor 643029

Double-microcrack coupling stretchable neural electrode for electrophysiological communication by Yang, Dan, Tian, Gongwei, Liang, Cuiyuan, Yang, Zixu, Zhao, Qinyi, Chen, Jianhui, Ma, Cong, Jiang, Ying, An, Na, Liu, Yan, Qi, Dianpeng

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A Browser Extension for in-place Signaling and Assessment of Misinformation by Jahanbakhsh, Farnaz, Karger, David R

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Gobo: A System for Exploring User Control of Invisible Algorithms in Social Media by Bhargava, Rahul, Chung, Anna, Gaikwad, Neil S, Hope, Alexis, Jen, Dennis, Rubinovitz, Jasmin, Saldías-Fuentes, Belén, Zuckerman, Ethan

Subjects: “…Computing methodologies, Artificial intelligence, Human-centered computing, Field studies, Information systems , Open source software, Human-centered computing, Social media, Algorithmic Transparency, Algorithmic Accountability…”
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Towards haptic intelligence in robots by learning from demonstration by Turlapati Sri Harsha

“…Another aspect of haptic intelligence is in the learning of contact tasks from human demonstrations. …”
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Explainable artificial intelligence (XAI) for healthcare decision-making by Zeng, Zhiwei

“…With the increasing ubiquity of Artificial Intelligence (AI) in daily life and into more critical applications, explainability has been brought under the spotlight due to ethical, social, and legal concerns. …”
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Green cooperative communication techniques for intelligent transportation systems by Vinod Kumar, Mogadala, Swaminathan, Ramabadran, Roy, Rajarshi

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Signs of criticality in social explosions by Beiró, Mariano G., Chung, Ning Ning, Chew, Lock Yue, Gandica, Yérali

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Classification and reconstruction of communication signals based on convolutional neural network by Cai, Zhenmin

“…One experiment was conducted on QAM and PSK signals to achieve an average signal classification accuracy of over 99%. …”
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Towards intelligent caring agents for Aging-In-Place : issues and challenges by Kang, Yilin, Wang, Di, Subagdja, Budhitama, Tan, Ah-Hwee, Zhang, Daqing

“…To support the independence of the elderly for Aging-In-Place (AIP), the intelligent agents must well understand the elderly, be fully aware of the home environment, possess high-level reasoning and learning capabilities, and provide appropriate tender care in the physical, cognitive, emotional, and social aspects. …”
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Cloud detection and classification with artificial intelligence for satellite optical image by Yao, Yuhan

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Social Bridges in Urban Purchase Behavior by Dong, Xiaowen, Suhara, Yoshihiko, Bozkaya, Burçin, Singh, Vivek K., Lepri, Bruno, Pentland, Alex

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Social constructs and how not to ground them by Baysan, E

“…While there are intelligible grounding claims that can explain certain ideas in social ontology, such grounding claims add nothing to what we have learnt from constructionists about race and gender. …”

Machine learning algorithm for electroencephalography (EEG) based brain signal analysis by Teo, Jeffrey Eng Hock

“…One of the ways to record these emotions is by collecting brain signals via electroencephalography (EEG). There are many applications that this can be used for, be it in the medical field or for artificial intelligence purposes. …”
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Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic by Balasubramanian, Sreejith, Shukla, Vinaya, Islam, Nazrul, Upadhyay, Arvind, Duong, Linh

“…Additionally, the research highlights AI’s capacity to enhance healthcare’s operational, quality-related and social outcomes, and recognises regulatory policies, technological infrastructure, stakeholder cooperation and innovation readiness as key facilitators of AI adoption. …”
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Adaptive social networks promote the wisdom of crowds by Almaatouq, Abdullah, Noriega-Campero, Alejandro, Alotaibi, Abdulrahman, Krafft, P. M., Moussaid, Mehdi, Pentland, Alex

“…However, most empirical studies on the role of social networks in collective intelligence have overlooked the dynamic nature of social networks and its role in fostering adaptive collective intelligence. …”
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The Strength of Structural Diversity in Online Social Networks by Zhang, Yafei, Wang, Lin, Zhu, Jonathan J. H., Wang, Xiaofan, Pentland, Alex

“…After synthetically controlling several possible confounding factors through matching experiments, structural diversity still plays a nonnegligible role in the prediction of personal online social reputation. Our work constitutes one of the first attempts to empirically study structural diversity in directed networks and has practical implications for a range of domains, such as social influence and collective intelligence studies.…”
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Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics by John, Rohit Abraham, Tiwari, Naveen, Muhammad Iszaki Patdillah, Kulkarni, Mohit Rameshchandra, Tiwari, Nidhi, Basu, Joydeep, Bose, Sumon Kumar, Ankit, Yu, Chan Jun, Nirmal, Amoolya, Vishwanath, Sujaya Kumar, Bartolozzi, Chiara, Basu, Arindam, Mathews, Nripan

“…We envision a decentralized approach where intelligence is embedded in the sensing nodes, using a unique neuromorphic methodology to extract relevant information in robotic skins. …”
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Age-hypogamy, emotional intelligence, sexual self-efficacy, and subjective happiness associations by Thomas, Marilyn, Banbury, Samantha, Lusher, Joanne, Chandler, Chris

“…Twenty-four women were recruited via social media platforms. Seventeen women in age-hypogamy relationships had a mean age = 45.86 years (SD = 4.47), and seven women in age-homogamy relationships had a mean age = 42.34 years (SD = 9.04) with an age range for both groups between 25 and 57 years. …”
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Balancing Human Rights, Social Responsibility, and Digital Ethics / by Pucelj, Maja, author 655410, IGI Global Scientific Publishing (Online service) 655412

“…The increasing ubiquity of artificial intelligence (AI) has heightened concerns regarding its ethical use, data protection, and the deepening digital divide. …”
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