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	Browse All Reviews > Computing Methodologies (I) > General (I.0)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 19 Reviews about "General (I.0)": Date Reviewed    Computational intelligence: a methodological introduction (3rd ed.) Kruse R., Mostaghim S., Borgelt C., Braune C., Steinbrecher M., Springer International Publishing, Cham, Switzerland, 2022. 653 pp.  Type: Book (978-3-030422-26-4) Ideas, more than inventions, change the world. Seen from this perspective, computational intelligence should be viewed, in my opinion, as a set of ideas that find applications in intelligent systems or devices that exhibit intelligent behaviour in... Mar 7 2023   Deep learning based single sample face recognition: a survey Liu F., Chen D., Wang F., Li Z., Xu F. Artificial Intelligence Review 1(1): 1-26, 2022.  Type: Article Deep learning (DL) methods, and in particular convolutional neural networks (CNNs), provide the most used and most effective face recognition systems. However, when “each identity has only a single sample available for training,” perfo... Dec 27 2022    DARPA’s explainable artificial intelligence (XAI) program Gunning D.  IUI 2019 (Proceedings of the 24th International Conference on Intelligent User Interfaces, Marina del Ray, California, Mar 17-20, 2019) ii-ii, 2019.  Type: Proceedings This very interesting survey talk provides extensive, high-level insight into the midterm progress of this advanced research endeavor.... Jul 21 2021   Walling up backdoors in intrusion detection systems Bachl M., Hartl A., Fabini J., Zseby T.  Big-DAMA 2019 (Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks, Orlando, FL, Dec 9, 2019) 8-13, 2019.  Type: Proceedings Intrusion detection systems (IDSs) detect anomalies in a network. However, backdoors instated for profit, political gain, and/or other reasons can be hard to detect and may introduce security vulnerabilities.... Feb 4 2021   Research on text location and recognition in natural images with deep learning Zhang P., Shi Z., Gao H.  ICAAI 2018 (Proceedings of the 2nd International Conference on Advances in Artificial Intelligence, Barcelona, Spain, Oct 6-8, 2018) 1-6, 2018.  Type: Proceedings A technical account, this paper reports on experiments carried out with combinations of deep learning techniques. The purpose of the proposed research is to explore and evaluate methods for text location and recognition in images.... Jan 14 2021   Linked open knowledge organization systems: definition of a method for reducing the traversing Chicaiza J., Tapia-Leon M., Piedra N., Lopez-Vargas J., Tovar-Caro E.  APPIS 2019 (Proceedings of the 2nd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain, Jan 7-9, 2019) 1-6, 2019.  Type: Proceedings Knowledge organization systems (KOS) allow for establishing and accessing a common vocabulary and concepts in a domain. Linked data refers to a semantic web knowledge organization method that links concepts by relationships on the web ... Jan 5 2021   On the robustness of domain-independent planning engines: the impact of poorly-engineered knowledge Vallati M., Chrpa L.  K-CAP 2019 (Proceedings of the 10th International Conference on Knowledge Capture, Marina Del Rey, CA, Nov 19-21, 2019) 197-204, 2019.  Type: Proceedings Planning engines are important not only to help us plan for what may fail or succeed in the real world, but also to provide what-if scenarios to build better robust engines. This paper talks about various ideas to help describe engines... Dec 18 2020   Learning from human-robot interactions in modeled scenes Murnane M., Breitmeyer M., Ferraro F., Matuszek C., Engel D.  SIGGRAPH 2019 (ACM SIGGRAPH 2019 Posters, Los Angeles, CA, Jul 28, 2019) 1-2, 2019.  Type: Proceedings Usually robots are checked and tested in virtual environments before delivering them to the real world. In this poster, however, the robot is only virtual, and users interacting with it are also rendered in virtual reality.... Sep 2 2020    The effects of mixing machine learning and human judgment Vaccaro M., Waldo J. Communications of the ACM 62(11): 104-110, 2019.  Type: Article Automated risk assessment systems are often used in situations that require human judgment. One motivation for doing this is to remove human bias. Even when the automated system has been shown to be more accurate than human assessments... Aug 7 2020    Discrete geodesic nets for modeling developable surfaces Rabinovich M., Hoffmann T., Sorkine-Hornung O. ACM Transactions on Graphics (TOG) 37(2): 1-17, 2018.  Type: Article Developable surfaces are those that can be flattened to the plane isometrically, that is, without stretching or tearing. They play an important role in manufacturing and architecture, for example, curved glass can be constructed by rol... Feb 25 2020       Display 510152550100 per page
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