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Hector Zenil

Showing results (11-20 of 39) with videos related to

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Seminars in Cell & Developmental Biology|January 24, 2016
Methods of information theory and algorithmic complexity for network biologyHector Zenil, Narsis A Kiani, Jesper Tegnér
Artificial Life|January 26, 2018
Undecidability and Irreducibility Conditions for Open-Ended Evolution and EmergenceSantiago Hernández-Orozco, Francisco Hernández-Quiroz, Hector Zenil
Royal Society Open Science|September 19, 2018
Algorithmically probable mutations reproduce aspects of evolution, such as convergence rate, genetic memory and modularitySantiago Hernández-Orozco, Narsis A Kiani, Hector Zenil
Frontiers in Computational Neuroscience|February 10, 2023
Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental resultsHector Zenil, James A R Marshall, Jesper Tegnér
Seminars in Cell & Developmental Biology|February 7, 2016
Evaluating network inference methods in terms of their ability to preserve the topology and complexity of genetic networksNarsis A Kiani, Hector Zenil, Jakub Olczak, et al.
Bioinformatics (Oxford, England)|September 30, 2017
HiDi: an efficient reverse engineering schema for large-scale dynamic regulatory network reconstruction using adaptive differentiationYue Deng, Hector Zenil, Jesper Tegnér, et al.
Behavior Research Methods|March 13, 2015
Algorithmic complexity for psychology: a user-friendly implementation of the coding theorem methodNicolas Gauvrit, Henrik Singmann, Fernando Soler-Toscano, et al.
Entropy (Basel, Switzerland)|July 2, 2021
Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional NetworksFelipe S Abrahão, Klaus Wehmuth, Hector Zenil, et al.
NPJ Systems Biology and Applications|August 7, 2024
On the salient limitations of the methods of assembly theory and their classification of molecular biosignaturesAbicumaran Uthamacumaran, Felipe S Abrahão, Narsis A Kiani, et al.
Nature Communications|June 3, 2026
SuperARC: a test for artificial superintelligence based on compressed modelling, recursive prediction and problem complexityAlberto Hernández-Espinosa, Luan Ozelim, Felipe S Abrahão, et al.
Pageof 4

Showing results (11-20 of 39) with videos related to

Sort By:
Pageof 4
Seminars in Cell & Developmental Biology|January 24, 2016
Methods of information theory and algorithmic complexity for network biologyHector Zenil, Narsis A Kiani, Jesper Tegnér
Artificial Life|January 26, 2018
Undecidability and Irreducibility Conditions for Open-Ended Evolution and EmergenceSantiago Hernández-Orozco, Francisco Hernández-Quiroz, Hector Zenil
Royal Society Open Science|September 19, 2018
Algorithmically probable mutations reproduce aspects of evolution, such as convergence rate, genetic memory and modularitySantiago Hernández-Orozco, Narsis A Kiani, Hector Zenil
Frontiers in Computational Neuroscience|February 10, 2023
Approximations of algorithmic and structural complexity validate cognitive-behavioral experimental resultsHector Zenil, James A R Marshall, Jesper Tegnér
Seminars in Cell & Developmental Biology|February 7, 2016
Evaluating network inference methods in terms of their ability to preserve the topology and complexity of genetic networksNarsis A Kiani, Hector Zenil, Jakub Olczak, et al.
Bioinformatics (Oxford, England)|September 30, 2017
HiDi: an efficient reverse engineering schema for large-scale dynamic regulatory network reconstruction using adaptive differentiationYue Deng, Hector Zenil, Jesper Tegnér, et al.
Behavior Research Methods|March 13, 2015
Algorithmic complexity for psychology: a user-friendly implementation of the coding theorem methodNicolas Gauvrit, Henrik Singmann, Fernando Soler-Toscano, et al.
Entropy (Basel, Switzerland)|July 2, 2021
Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional NetworksFelipe S Abrahão, Klaus Wehmuth, Hector Zenil, et al.
NPJ Systems Biology and Applications|August 7, 2024
On the salient limitations of the methods of assembly theory and their classification of molecular biosignaturesAbicumaran Uthamacumaran, Felipe S Abrahão, Narsis A Kiani, et al.
Nature Communications|June 3, 2026
SuperARC: a test for artificial superintelligence based on compressed modelling, recursive prediction and problem complexityAlberto Hernández-Espinosa, Luan Ozelim, Felipe S Abrahão, et al.
Pageof 4