author: marcin korytkowski

Artificial Intelligence and Soft Computing: 16th International Conference, ICAISC 2017, Zakopane, Poland, June 11-15, 2017, Proceedings, Part I

... 6. Ekman, P.: Basic Emotions. In: Dalgleish, T., Power, M. (eds.) Handbook of Cognition and Emotion, pp. 45–60. Wiley, New York (1999) 7. Hockenbury, D., Hockenbury, S.: Discovering Psychology. Worth Publishers, New York (2007) 8 ...

Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I

... KoW2)w) – LW2 w" | 1= = Alek + Gsk + W1 wi. –– W2 will, where sk = g (a.k) – g (à:k). Similarly, the fault estimation error sf... can be defined ef, .k = fa, - f. = – HC (Aek + sk, + W1 wh) - H.W.2 w" | 1. (12) (13) (14) (15) (16) Noth ...

Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I

... true-color weather images. The performance was also higher than the DAIN method (baseline literature) on two occasions. Furthermore, the TrueColor model had the best signal-to-noise ratio (SNR) average between all tests. These results ...

Advanced Techniques of Artificial Intelligence in IT Security Systems

... (2015) 81. M. Minsky, S.A. Papert, Perceptrons (MIT Press, 1969) 82. X. Zhang, C. Li, W. Zheng, Intrusion prevention ... Palo Alto Networks, 01 10 2020. [Online]. Available: https://www.paloaltonetworks.com/resources/guides/security-operating- ...

Swarm and Evolutionary computation: International Symposium, SIDE 2012, held in Conjunction with ICAISC 2012, Zakopane, Poland, April 29 - May 3, 2012, Proceedings

... settings of parameters controlling the migration was experimentally compared with the adaptive serial algorithms in six benchmark problems of dimension D = 30. The parallel algorithm was more efficient than the best serial adaptive DE ...

Artificial Intelligence and Soft Computing: 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16–20, 2019, Proceedings, Part I

... neighbor classification: taxonomy and empirical study. IEEE Trans. Pattern Anal. Mach. Intell. 34(3), 417–435 (2012) 6. Wilson, D.R., Martinez, T.R.: Reduction techniques for instance-based learning algorithms. Mach. Learn. 38(3), 257 ...

Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II

... Vijay, A., Husain, S.A., Kalyanaraman, S.: SocketWatch: an autonomous appliance monitoring system. In: IEEE ... Mithal, V., Brugere, I., Lau, M., Boriah, S., Potter, C.: A novel time series based approach to detect gradual vegetation ...

Artificial Intelligence and Soft Computing: 11th International Conference, ICAISA 2012, Zakopane, Poland, April 29 - 3 May, 2012, Proceedings, Part II

... Wikipedia content1 in computationable form. Among many functionalities it allows to select Wikipedia categories that ... mayday-dev.task.gda.pl:48080/mayday.uc/ 4 http://www.task.gda.pl/kdm/sprzet/Galera. 200 M. Westa, J. Szyma ́nski, and ...

Artificial Intelligence and Soft Computing: 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021, Proceedings, Part II

20th International Conference, ICAISC 2021, Virtual Event ... 2.1 Joint Localization of the Mouth and Eyes Let us recall the weighted correlation coefficient rW (x, y;w) between two vectors x = (x1 )T and y = (y 1 ) ... centroids each ck is a ...

Artificial Intelligence and Soft Computing: 17th International Conference, ICAISC 2018, Zakopane, Poland, June 3-7, 2018, Proceedings, Part II

... green blue channels . Find local minima of the histograms . 4. Estimate a set of at least 2 vector thresholds hTLow and hTHigh ( it will depend on the histograms ; it shouldn't be more than 4 of them ) . hist Thresh = { hTLow , hTHigh } ...

Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part II

... Xcal is Low) and (Correlation Xcal Ycal is Low) and (RMSEP is High) Then (Solution Quality is Poor) the total set of rules can be seen in Table1. Table 1. Inference Rules Set RMSEP is Low Correlation Xcal Ycal is Low Correlation Xcal ...

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