Janusz Szczepanski

28 papers C 1Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach.
Neuroinformatics
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks - Influence of the Learning Rules.
CoRR
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach.
CoRR
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
Improving Liver Disease Diagnosis with SNNDeep: A Custom Spiking Neural Network Using Diverse Learning Algorithms.
CoRR
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance.
CoRR
Zofia Rudnicka, Janusz Szczepanski, Agnieszka Pregowska
2025 J jnl
Trustless Delegation of Vector Commitment Construction in Resource-Constrained Settings.
IACR Cryptol. ePrint Arch.
Parisa Hassanizadeh, Shahriar Ebrahimi, Stefan Dziembowski, Janusz Szczepanski
2024 J jnl
Does Adding of Neurons to the Network Layer Lead to Increased Transmission Efficiency?
IEEE Access
Bartosz Paprocki, Agnieszka Pregowska, Janusz Szczepanski
2019 J jnl
How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes.
Int. J. Neural Syst.
Agnieszka Pregowska, Ehud Kaplan, Janusz Szczepanski
2019 J jnl
Information processing in the LGN: a comparison of neural codes and cell types.
Biol. Cybern.
Agnieszka Pregowska, Alex Casti, Ehud Kaplan, Eligiusz Wajnryb, Janusz Szczepanski
2019 J jnl
Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders.
Comput. Methods Programs Biomed.
Agnieszka Pregowska, Klaudia Proniewska, Peter M. van Dam, Janusz Szczepanski
2018 C conf
New Fuzzy Numbers Comparison Operators In Energy Effectiveness Simulation And Modeling Systems.
ECMS
Wojciech T. Dobrosielski, Jacek M. Czerniak, Hubert Zarzycki, Janusz Szczepanski
2017 — conf
Fuzzy Numbers Applied to a Heat Furnace Control.
Theory and Applications of Ordered Fuzzy Numbers
Wojciech T. Dobrosielski, Jacek M. Czerniak, Hubert Zarzycki, Janusz Szczepanski
2017 — conf
Triangular Expanding, A New Defuzzification Method on Ordered Fuzzy Numbers.
EUSFLAT/IWIFSGN (1)
Wojciech T. Dobrosielski, Jacek M. Czerniak, Janusz Szczepanski, Hubert Zarzycki
2016 J jnl
Temporal code versus rate code for binary Information Sources.
Neurocomputing
Agnieszka Pregowska, Janusz Szczepanski, Eligiusz Wajnryb
2015 — conf
A Proposal for a Method of Defuzzification Based on the Golden Ratio - GR.
IWIFSGN@FQAS
Wojciech T. Dobrosielski, Janusz Szczepanski, Hubert Zarzycki
2013 J jnl
How do the amplitude fluctuations affect the neuronal transmission efficiency.
Neurocomputing
Bartosz Paprocki, Janusz Szczepanski
2011 J jnl
Efficiency of neural transmission as a function of synaptic noise, threshold, and source characteristics.
Biosyst.
Bartosz Paprocki, Janusz Szczepanski
2011 J jnl
Mutual information and redundancy in spontaneous communication between cortical neurons.
Biol. Cybern.
Janusz Szczepanski, M. Arnold, Elek Wajnryb, José M. Amigó, Maria V. Sanchez-Vives
2009 J jnl
On the distribution function of the complexity of finite sequences.
Inf. Sci.
Janusz Szczepanski
2007 J jnl
Discrete Lyapunov Exponent and Resistance to Differential Cryptanalysis.
IEEE Trans. Circuits Syst. II Express Briefs
José María Amigó, Ljupco Kocarev, Janusz Szczepanski
2006 J jnl
Discrete Chaos-I: Theory.
IEEE Trans. Circuits Syst. I Regul. Pap.
Ljupco Kocarev, Janusz Szczepanski, José María Amigó, Igor Tomovski
2005 J jnl
Cryptographically secure substitutions based on the approximation of mixing maps.
IEEE Trans. Circuits Syst. I Regul. Pap.
Janusz Szczepanski, José María Amigó, Tomasz Michalek, Ljupco Kocarev
2004 J jnl
Biometric random number generators.
Comput. Secur.
Janusz Szczepanski, Elek Wajnryb, José M. Amigó, Maria V. Sanchez-Vives, Mel Slater
2004 J jnl
Characterizing spike trains with Lempel-Ziv complexity.
Neurocomputing
Janusz Szczepanski, José M. Amigó, Elek Wajnryb, Maria V. Sanchez-Vives
2004 J jnl
Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity.
Neural Comput.
José M. Amigó, Janusz Szczepanski, Elek Wajnryb, Maria V. Sanchez-Vives
2003 J jnl
Approximations of Dynamical Systems and their Applications to Cryptography.
Int. J. Bifurc. Chaos
José M. Amigó, Janusz Szczepanski
2001 — conf
New Experimental Results in Differential - Linear Cryptanalysis of Reduced Variants of DES.
ACS
Anna Górska, Karol Górski, Zbigniew Kotulski, Andrzej Paszkiewicz, Janusz Szczepanski
2001 J jnl
Pseudorandom Number Generators Based on Chaotic Dynamical Systems.
Open Syst. Inf. Dyn.
Janusz Szczepanski, Zbigniew Kotulski