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	Artificial Intelligence Review Kluwer Academic Publishers         Options: Date Reviewed Title Author Publisher Published Date Descending Order Ascending Order     1-10 of 47 reviews Date Reviewed     A survey of inverse reinforcement learning Adams S., Cody T., Beling P. Artificial Intelligence Review 55(6): 4307-4346, 2022.  Type: Article The process of discovering and incorporating knowledge from educators into machine learning (ML) poses major challenges. Beyond coding the known or derived characteristics of systems into ML algorithms, how should innovative researchers discover, ... May 1 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   A study on software fault prediction techniques Rathore S., Kumar S. Artificial Intelligence Review 51(2): 255-327, 2019.  Type: Article Software developers and managers struggle with the increasing number of software problems and defects. Such problems can rapidly increase the costs of software maintenance and development. Traditional defect management models cannot de... Jun 24 2019   A comprehensive review of krill herd algorithm: variants, hybrids and applications Wang G., Gandomi A., Alavi A., Gong D. Artificial Intelligence Review 51(1): 119-148, 2019.  Type: Article This paper reviews a list of krill herd (KH)-style algorithms and the associated variants. As a general overview of this algorithm, the paper presents a systematic approach for cataloguing and classifying the algorithms into three area... Apr 4 2019   A survey of virtual sample generation technology for face recognition Li L., Peng Y., Qiu G., Sun Z., Liu S. Artificial Intelligence Review 50(1): 1-20, 2018.  Type: Article Just as the authors state that “virtual sample generation technology belongs to the category of machine learning,” nobody ever has enough real data to train a face recognition model, and they need synthesized data. ... Feb 7 2019   A review on the applications of neuro-fuzzy systems in business Rajab S., Sharma V. Artificial Intelligence Review 49(4): 481-510, 2018.  Type: Article Neuro-fuzzy systems (NFS) combine two artificial intelligence (AI) techniques, namely neural networks and fuzzy logic systems. This approach takes advantage of the strengths of each technique, while simultaneously overcoming their resp... Jul 19 2018   A metamodeling approach for the identification of organizational smells in multi-agent systems: application to ASPECS Araujo P., Rodríguez S., Hilaire V. Artificial Intelligence Review 49(2): 183-210, 2018.  Type: Article The concept of a code smell is defined as representing a potential problem within a system, typically a programming design system. The idea of a code smell was introduced in 1999 with a list of 22 low-level code smells and an associate... May 18 2018   Evolution or revolution: the critical need in genetic algorithm based testing Surendran A., Samuel P. Artificial Intelligence Review 48(3): 349-395, 2017.  Type: Article Software testing consumes a considerable amount of the cost and time of software development, but it is one of the most crucial phases; it cannot be skipped. Software testing is therefore referred to as “a necessary evil.&... Dec 1 2017   A survey of imperatives and action representation formalisms Srinivasan B., Parthasarathi R. Artificial Intelligence Review 48(2): 263-297, 2017.  Type: Article What is an action? The agent observes two states at different times; if there is a change, then an action occurred. This implicit definition of action is adopted in this paper. At the beginning of artificial intelligence (AI), first-or... Nov 20 2017   A multiagent, dynamic rank-driven multi-deme architecture for real-valued multiobjective optimization Acan A., Lotfi N. Artificial Intelligence Review 48(1): 1-29, 2017.  Type: Article Solutions for multiobjective optimization problems find use in architectures that support parallel processing. A new method proposed by Acan and Lotfi is seen to dominate over most other optimization solutions, as is the case with a ty... Nov 1 2017       Display 510152550100 per column
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