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ORCIDIván Paz Ortiz
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2020 – today
- 2022
[b1]Iván Paz Ortiz:
On-the-fly synthesizer programming with rule learning. Polytechnic University of Catalonia, Spain, 2022- 2020
- [j2]Iván Paz Ortiz
, Àngela Nebot, Francisco Mugica, Enrique Romero:
On-The-Fly Syntheziser Programming with Fuzzy Rule Learning. Entropy 22(9): 969 (2020)
2010 – 2019
- 2019
- [c13]Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica:
Charting Perceptual Spaces with Fuzzy Rules. FUZZ-IEEE 2019: 1-6 - 2018
- [j1]Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero:
Modeling perceptual categories of parametric musical systems. Pattern Recognit. Lett. 105: 217-225 (2018) - [c12]Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero:
Classifying and Generalizing Successful Parameter Combinations for Sound Design. CCIA 2018: 256-265 - 2016
- [c11]Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica:
A Rule-Extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems. CCIA 2016: 213-220 - [c10]Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica, Alfredo Vellido:
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration. CEC 2016: 1317-1323 - 2015
- [c9]Francisco Mugica, Iván Paz Ortiz, Àngela Nebot, Enrique Romero:
A Fuzzy Inductive approach for rule-based modelling of high level structures in algorithmic composition systems. FUZZ-IEEE 2015: 1-8 - [c8]Iván Paz Ortiz, Diego Garcia-Olano, Carlos Gay-García:
Term-frequency Inverse Document Frequency for the Assessment of Similarity in Central and State Climate Change Programs: An Example for Mexico. SIMULTECH 2015: 542-546 - 2014
- [c7]Iván Paz Ortiz, Àngela Nebot, Francisco Mugica, Enrique Romero:
Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns. CCIA 2014: 289-292 - [c6]Iván Paz Ortiz, Carlos Gay-García:
Fuzzy Cognitive Mapping and Nonlinear Hebbian Learning for the Qualitative Simulation of the Climate System, from a Planetary Boundaries Perspective. SIMULTECH (Selected Papers) 2014: 295-312 - [c5]Iván Paz Ortiz, Carlos Gay-García:
Using fuzzy cognitive mapping and nonlinear Hebbian Learning for modeling, simulation and assessment of the climate system, based on a planetary boundaries framework. SIMULTECH 2014: 852-862 - 2013
- [c4]Anais Vermonden, Carlos Gay-García, Iván Paz Ortiz:
Adaptive Neuro Fuzzy Inference System Used to Build Models with Uncertain Data: Study Case for Rainfed Maize in the State of Puebla (Mexico). SIMULTECH (Selected Papers) 2013: 145-155 - [c3]Iván Paz Ortiz, Carlos Gay-García:
A Fuzzy Cognitive Map for México City's Water Availability System. SIMULTECH 2013: 495-503 - 2012
- [c2]Carlos Gay-García, Iván Paz Ortiz:
Stability Analysis of Climate System Using Fuzzy Cognitive Maps. SIMULTECH (Selected Papers) 2012: 211-222 - [c1]Carlos Gay-García, Iván Paz Ortiz:
Use of Fuzzy Cognitive Maps for Climate System Stability Analysis. SIMULTECH 2012: 511-517
Coauthor Index
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