Janusz Szczepanski

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 9

Top Topics

Pairwise Comparison

Cognitive Functions

Top Venues

Theory and Applications of Ordered Fuzzy Numbers

Publications

Bartosz Paprocki, Agnieszka Pregowska, Janusz Szczepanski
Does Adding of Neurons to the Network Layer Lead to Increased Transmission Efficiency? IEEE Access 12 (2024)
Agnieszka Pregowska, Klaudia Proniewska, Peter van Dam, Janusz Szczepanski
Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders. Comput. Methods Programs Biomed. 182 (2019)
Agnieszka Pregowska, Alex Casti, Ehud Kaplan, Eligiusz Wajnryb, Janusz Szczepanski
Information processing in the LGN: a comparison of neural codes and cell types. Biol. Cybern. 113 (4) (2019)
Agnieszka Pregowska, Ehud Kaplan, Janusz Szczepanski
How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes. Int. J. Neural Syst. 29 (8) (2019)
Wojciech T. Dobrosielski, Jacek M. Czerniak, Hubert Zarzycki, Janusz Szczepanski
New Fuzzy Numbers Comparison Operators In Energy Effectiveness Simulation And Modeling Systems. ECMS (2018)
Wojciech T. Dobrosielski, Jacek M. Czerniak, Janusz Szczepanski, Hubert Zarzycki
Triangular Expanding, A New Defuzzification Method on Ordered Fuzzy Numbers. EUSFLAT/IWIFSGN (1) (2017)
Wojciech T. Dobrosielski, Jacek M. Czerniak, Hubert Zarzycki, Janusz Szczepanski
Fuzzy Numbers Applied to a Heat Furnace Control. Theory and Applications of Ordered Fuzzy Numbers (2017)
Agnieszka Pregowska, Janusz Szczepanski, Eligiusz Wajnryb
Temporal code versus rate code for binary Information Sources. Neurocomputing 216 (2016)
Wojciech T. Dobrosielski, Janusz Szczepanski, Hubert Zarzycki
A Proposal for a Method of Defuzzification Based on the Golden Ratio - GR. IWIFSGN@FQAS (2015)
Bartosz Paprocki, Janusz Szczepanski
How do the amplitude fluctuations affect the neuronal transmission efficiency. Neurocomputing 104 (2013)
Bartosz Paprocki, Janusz Szczepanski
Efficiency of neural transmission as a function of synaptic noise, threshold, and source characteristics. Biosyst. 105 (1) (2011)
Janusz Szczepanski, M. Arnold, Elek Wajnryb, José M. Amigó, Maria V. Sanchez-Vives
Mutual information and redundancy in spontaneous communication between cortical neurons. Biol. Cybern. 104 (3) (2011)
Janusz Szczepanski
On the distribution function of the complexity of finite sequences. Inf. Sci. 179 (9) (2009)
José María Amigó, Ljupco Kocarev, Janusz Szczepanski
Discrete Lyapunov Exponent and Resistance to Differential Cryptanalysis. IEEE Trans. Circuits Syst. II Express Briefs (10) (2007)
Ljupco Kocarev, Janusz Szczepanski, José María Amigó, Igor Tomovski
Discrete Chaos-I: Theory. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2006)
Janusz Szczepanski, José María Amigó, Tomasz Michalek, Ljupco Kocarev
Cryptographically secure substitutions based on the approximation of mixing maps. IEEE Trans. Circuits Syst. I Regul. Pap. (2) (2005)
Janusz Szczepanski, José M. Amigó, Elek Wajnryb, Maria V. Sanchez-Vives
Characterizing spike trains with Lempel-Ziv complexity. Neurocomputing (2004)
José M. Amigó, Janusz Szczepanski, Elek Wajnryb, Maria V. Sanchez-Vives
Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity. Neural Comput. 16 (4) (2004)
Janusz Szczepanski, Elek Wajnryb, José M. Amigó, Maria V. Sanchez-Vives, Mel Slater
Biometric random number generators. Comput. Secur. 23 (1) (2004)
José M. Amigó, Janusz Szczepanski
Approximations of Dynamical Systems and their Applications to Cryptography. Int. J. Bifurc. Chaos 13 (7) (2003)
Janusz Szczepanski, Zbigniew Kotulski
Pseudorandom Number Generators Based on Chaotic Dynamical Systems. Open Syst. Inf. Dyn. 8 (2) (2001)
Anna Górska, Karol Górski, Zbigniew Kotulski, Andrzej Paszkiewicz, Janusz Szczepanski
New Experimental Results in Differential - Linear Cryptanalysis of Reduced Variants of DES. ACS (2001)