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	ACM Computing Surveys ACM Press         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 239 reviews Date Reviewed     Trustworthy AI: from principles to practices Li B., Qi P., Liu B., Di S., Liu J., Pei J., Yi J., Zhou B. ACM Computing Surveys 55(9): 1-46, 2023.  Type: Article, Reviews: (2 of 2) As computing technology continues to evolve, artificial intelligence (AI) is playing an increasing role in various aspects of our lives. Although AI dates back many decades--I took an AI subject in my university studies, in 1988--only re... Mar 12 2024   Trustworthy AI: from principles to practices Li B., Qi P., Liu B., Di S., Liu J., Pei J., Yi J., Zhou B. ACM Computing Surveys 55(9): 1-46, 2023.  Type: Article, Reviews: (1 of 2) As systems based on artificial intelligence (AI) have become the backbone of various public services such as transportation, finance, medicine, security, academics, medicine, and entertainment, the reliability and trustworthiness of AI artifacts/p... Jan 30 2024   GraphQL: a systematic mapping study Quiña-Mera A., Fernandez P., García J., Ruiz-Cortés A. ACM Computing Surveys 551-35, 2023.  Type: Article Software architects ought to continuously strive to develop secure, dependable, and effective software services that can cope with the scalability, revival, idleness, multi-occupancy, and other operational issues of cloud applications. To overcome... Sep 5 2023    A survey on end-edge-cloud orchestrated network computing paradigms: transparent computing, mobile edge computing, fog computing, and cloudlet Ren J., Zhang D., He S., Zhang Y., Li T. ACM Computing Surveys 52(6): 1-36, 2019.  Type: Article Recognizing the limits of (distant) cloud computing, modern Internet of things (IoT) architectures recognize the so-called edge continuum between cloud applications and IoT devices and machines. “Continuum” implies ... Jun 17 2022   Detection and resolution of rumours in social media: A Survey Zubiaga A., Aker A., Bontcheva K., Liakata M., Procter R. ACM Computing Surveys 51(2): 1-36, 2018.  Type: Article Unverified information can spread on the web and influence public opinion before it is eventually verified as true or false. Such rumors eventually evolve during reiterated transmission, and often accompany fake news. The use of social... Mar 30 2022    A survey on session-based recommender systems Wang S., Cao L., Wang Y., Sheng Q., Orgun M., Lian D. ACM Computing Surveys 7(54): 1-38, 2022.  Type: Article Wang et al. present a comprehensive survey with this paper. A session-based recommender system (SBRS) is a system that makes recommendations to users based on short-term, dynamic user preferences (in a session). It is different from ot... Dec 2 2021   Environmental audio scene and sound event recognition for autonomous surveillance: a survey and comparative studies Chandrakala S., Jayalakshmi S. ACM Computing Surveys 52(3): 1-34, 2019.  Type: Article As my colleagues and I define in a previous paper, “environmental sound recognition (AESR) is a relatively new discipline of computer science destined to extend the field of speech-based applications, or the study of music so... Nov 11 2021   A survey of machine learning for big code and naturalness Allamanis M., Barr E., Devanbu P., Sutton C. ACM Computing Surveys 51(4): 1-37, 2018.  Type: Article There is a rising demand for effective software tools that can help developers build reliable and maintainable software systems. There has been abundant research to help developers track bugs and verify program properties and refactor ... Nov 4 2021   Automated expertise retrieval: a taxonomy-based survey and open issues Gonçalves R., Dorneles C. ACM Computing Surveys 52(5): 1-30, 2019.  Type: Article Due to the rigorous advancement in skill sets through knowledge enhancement, multiple methods of sharing the required skills can challenge industries that are looking for the “right fit.” At the same time, the stora... Aug 31 2021   A survey on gait recognition Wan C., Wang L., Phoha V. ACM Computing Surveys 51(5): 1-35, 2018.  Type: Article Gait recognition is a biometric method that uses sensor data to recognize people based on body shape and walking styles. Gait data is acquired from video images, inertial sensors, or sensors in the environment. The possible uses are di... Jun 8 2021       Display 510152550100 per column
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