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José María Amigó
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2020 – today
- 2025
- [i7]Salomé A. Sepúveda Fontaine, José M. Amigó:
Applications of Entropy in Data Analysis and Machine Learning: A Review. CoRR abs/2503.02921 (2025) - 2024
- [i6]Juan C. King, Roberto Dale, José M. Amigó:
Blockchain Metrics and Indicators in Cryptocurrency Trading. CoRR abs/2403.00770 (2024) - 2023
- [c6]Ángel Giménez
, Oscar Martínez Bonastre, José Valero
Poster: Modified Dynamic Beta RED - A New AQM Algorithm for Internet Congestion Control. IMC 2023: 718-719 - [i5]Pawel Pilarczyk, Grzegorz Graff
Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate - blood pressure coupling quantified by entropy-based indices. CoRR abs/2311.10752 (2023) - 2022
- [j31]José M. Amigó
Complexity-based permutation entropies: From deterministic time series to white noise. Commun. Nonlinear Sci. Numer. Simul. 105: 106077 (2022) - [j30]José M. Amigó
Information Geometry, Complexity Measures and Data Analysis. Entropy 24(12): 1797 (2022) - [i4]Ángel Giménez, Miguel A. Murcia, José M. Amigó, Oscar Martínez Bonastre
New RED-type TCP-AQM algorithms based on beta distribution drop functions. CoRR abs/2201.01105 (2022) - [i3]Adrián Hernández, Gilles Millerioux, José M. Amigó:
Differentiable programming: Generalization, characterization and limitations of deep learning. CoRR abs/2205.06898 (2022) - 2021
- [j29]Adrián Hernández
Attention Mechanisms and Their Applications to Complex Systems. Entropy 23(3): 283 (2021) - [c5]Guillem Duran, José M. Amigó, Ángel Giménez
Poster: Modeling Congestion Control using Petri Nets. LANMAN 2021: 1-2 - [i2]José M. Amigó, Roberto Dale, Piergiulio Tempesta:
Complexity-based permutation entropies: from deterministic time series to white noise. CoRR abs/2103.11762 (2021) - 2020
- [j28]José M. Amigó
Generalized TCP-RED dynamical model for Internet congestion control. Commun. Nonlinear Sci. Numer. Simul. 82: 105075 (2020) - [j27]José M. Amigó
Entropy Monotonicity and Superstable Cycles for the Quadratic Family Revisited. Entropy 22(10): 1136 (2020)
2010 – 2019
- 2019
- [j26]Yoshito Hirata
Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length. Entropy 21(7): 713 (2019) - [c4]Guillem Duran, José Valero
Bifurcation analysis for the Internet congestion. INFOCOM Workshops 2019: 1073-1074 - [i1]Adrián Hernández, José M. Amigó:
Differentiable programming and its applications to dynamical systems. CoRR abs/1912.08168 (2019) - 2018
- [j25]José M. Amigó
A Brief Review of Generalized Entropies. Entropy 20(11): 813 (2018) - [c3]Guillem Duran, José Valero Cuadra
Stabilizing Chaotic Behavior of RED. ICNP 2018: 241-242 - 2016
- [j24]José Valero
Convergence of equilibria for numerical approximations of a suspension model. Comput. Math. Appl. 72(4): 856-878 (2016) - 2015
- [j23]O. V. Kapustyan, José Valero
Convergence of Numerical Approximations for a Non-Newtonian Model of Suspensions. Int. J. Bifurc. Chaos 25(14): 1540022:1-1540022:24 (2015) - [j22]José María Amigó
Infragranular layers lead information flow during slow oscillations according to information directionality indicators. J. Comput. Neurosci. 39(1): 53-62 (2015) - 2014
- [j21]José M. Amigó
A Simplified Algorithm for the Topological Entropy of Multimodal Maps. Entropy 16(2): 627-644 (2014) - [j20]José M. Amigó
Dimensional reduction of conditional algebraic multi-information via transcripts. Inf. Sci. 278: 298-310 (2014) - 2013
- [j19]José M. Amigó
Entropy Increase in Switching Systems. Entropy 15(6): 2363-2383 (2013) - 2012
- [j18]José María Amigó
Computing the Topological Entropy of Multimodal Maps via Min-Max Sequences. Entropy 14(4): 742-768 (2012) - [j17]Rui Dilão
Computing the Topological Entropy of unimodal Maps. Int. J. Bifurc. Chaos 22(6) (2012) - [j16]Ramón Huerta, Shankar Vembu, José M. Amigó
Inhibition in Multiclass Classification. Neural Comput. 24(9): 2473-2507 (2012) - [c2]Oscar Martínez Bonastre
Multicast Congestion Control Using Communicating Realtime State Machines and Dynamical Systems for Distributed Iptv Scenarios. ICPADS 2012: 726-727 - 2011
- [j15]Janusz Szczepanski
Mutual information and redundancy in spontaneous communication between cortical neurons. Biol. Cybern. 104(3): 161-174 (2011) - [p2]Gonzalo Álvarez
Lessons Learnt from the Cryptanalysis of Chaos-Based Ciphers. Chaos-Based Cryptography 2011: 257-295 - 2010
- [j14]José María Amigó
Attractors for a Lattice Dynamical System Generated by Non-Newtonian fluids Modeling Suspensions. Int. J. Bifurc. Chaos 20(9): 2681-2700 (2010) - [j13]José María Amigó
Detecting Determinism in Time Series with Ordinal Patterns: a Comparative Study. Int. J. Bifurc. Chaos 20(9): 2915-2924 (2010)
2000 – 2009
- 2009
- [j12]José María Amigó
The Ordinal Structure of the Signed Shift Transformations. Int. J. Bifurc. Chaos 19(10): 3311-3327 (2009) - [c1]Oscar Martínez Bonastre
Promoting Interaction through Wireless Classrooms with ConferenceXP. ICALT 2009: 532-534 - [p1]José María Amigó
Chaos-Based Cryptography. Intelligent Computing Based on Chaos 2009: 291-313 - 2008
- [j11]José María Amigó:
Relations among Sums of Reciprocal Powers - Part II. Int. J. Math. Math. Sci. 2008: 421478:1-421478:20 (2008) - [j10]José María Amigó
Forbidden patterns and shift systems. J. Comb. Theory A 115(3): 485-504 (2008) - [j9]Gilles Millerioux, José M. Amigó
A Connection Between Chaotic and Conventional Cryptography. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(6): 1695-1703 (2008) - 2007
- [j8]José María Amigó
Discrete Lyapunov Exponent and Resistance to Differential Cryptanalysis. IEEE Trans. Circuits Syst. II Express Briefs 54-II(10): 882-886 (2007) - 2006
- [j7]José M. Amigó
Representing the integers with powers of 2 and 3. Acta Informatica 43(5): 293-306 (2006) - [j6]Ljupco Kocarev, Janusz Szczepanski
Discrete Chaos-I: Theory. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(6): 1300-1309 (2006) - 2005
- [j5]Janusz Szczepanski
Cryptographically secure substitutions based on the approximation of mixing maps. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(2): 443-453 (2005) - 2004
- [j4]Janusz Szczepanski
Biometric random number generators. Comput. Secur. 23(1): 77-84 (2004) - [j3]Janusz Szczepanski
Characterizing spike trains with Lempel-Ziv complexity. Neurocomputing 58-60: 79-84 (2004) - [j2]José M. Amigó
Estimating the Entropy Rate of Spike Trains via Lempel-Ziv Complexity. Neural Comput. 16(4): 717-736 (2004) - 2003
- [j1]José M. Amigó
Approximations of Dynamical Systems and their Applications to Cryptography. Int. J. Bifurc. Chaos 13(7): 1937-1948 (2003)
Coauthor Index
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