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The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites autho…
Mohamed Taha, Tarek F. Gharib, Hamed Nassar
Frequent item sets mining plays an important role in association rules mining. A variety of algorithms for finding frequent item sets in very large transaction databases have been developed. Although many techniques were proposed for maintenance of the discov…
Jésus Antonio Motta, Laurence Capus, Nicole Tourigny
The vast availability of information sources has created a need for research on automatic summarization. Current methods perform either by extraction or abstraction. The extraction methods are interesting, because they are robust and independent of the langua…
Ee-May Kan, Meng-Hiot Lim, Swee-Ping Yeo, Jiun-Sien Ho, Zhenhai Shao
This research focuses on trajectory generation algorithms that take into account the stealthiness of autonomous UAVs; generating stealthy paths through a region laden with enemy radars. The algorithm is employed to estimate the risk cost of the navigational s…
Igor Chikalov, Peggy Yao, Mikhail Moshkov, Jean-Claude Latombe
Hydrogen bonds (H-bonds) play a key role in both the formation and stabilization of protein structures. H-bonds involving atoms from residues that are close to each other in the main-chain sequence stabilize secondary structure elements. H-bonds between atoms…
Budi Santosa, Muhammad Arif Budiman, Stefanus Eko Wiratno
No-wait job-shop scheduling (NWJSS) problem is one of the classical scheduling problems that exist on many kinds of industry with no-wait constraint, such as metal working, plastic, chemical, and food industries. Several methods have been proposed to solve th…
Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier
This paper describes a computational model for the implementation of causal learning in cognitive agents. The Conscious Emotional Learning Tutoring System (CELTS) is able to provide dynamic fine-tuned assistance to users. The integration of a Causal Learning…
Vincenzo Pacelli
The non-linear and often obscure relations that govern the economic and financial variables, the presence of significant amounts of data and the failures of the con-ventional mathematical and statistical models are only some reasons which should encouraged a…
Michele Gorgoglione, Umberto Panniello
Customer churn may be a critical issue for banks. The extant literature on statistical and machine learning for customer churn focuses on the problem of correctly predicting that a customer is about to switch bank, while very rarely consid-ers the problem of…
Biliana Alexandrova-Kabadjova, Edward Tsang, Andreas Krause
In this paper, we study the dynamics of competition in the payment card market. This is done through a multi-agent based model, which captures explicitly the commercial transactions at the point of sale between consumers and mer-chants. Through simulation, we…
Hongchuan Yu, Jian Jun Zhang
In this paper, we present a motion segmentation approach based on the subspace segmentation technique, the genera-lized PCA. By incorporating the cues from the neighborhood of intensity edges of images, motion segmentation is solved under an algebra framework…
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The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites autho… All articles are open access under a CC BY 4.0 licence, with authors retaining copyright.
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