Iván Paz Ortiz

发表

A Rule-Extraction Algorithm for Describing Perceptual Parametric Subspaces in Algorithmic Composition Systems

Enrique Romero, Àngela Nebot, Francisco Mugica, 2016, CCIA.

On-The-Fly Syntheziser Programming with Fuzzy Rule Learning

Enrique Romero, Àngela Nebot, Francisco Mugica, 2020, Entropy.

A Fuzzy Inductive approach for rule-based modelling of high level structures in algorithmic composition systems

Enrique Romero, Àngela Nebot, Francisco Mugica, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Fuzzy Cognitive Map for México City's Water Availability System

Iván Paz Ortiz, Carlos Gay-Garcia, 2013, SIMULTECH.

Adaptive Neuro Fuzzy Inference System Used to Build Models with Uncertain Data: Study Case for Rainfed Maize in the State of Puebla (Mexico)

Iván Paz Ortiz, Carlos Gay-Garcia, Anais Vermonden, 2013, SIMULTECH.

Modeling perceptual categories of parametric musical systems

Enrique Romero, Àngela Nebot, Francisco Mugica, 2018, Pattern Recognit. Lett..

Classifying and Generalizing Successful Parameter Combinations for Sound Design

Enrique Romero, Àngela Nebot, Francisco Mugica, 2018, CCIA.

Stability Analysis of Climate System Using Fuzzy Cognitive Maps

Iván Paz Ortiz, Carlos Gay-Garcia, 2012, SIMULTECH.

Using the Fuzzy Inductive Reasoning methodology to improve coherence in algorithmic musical beat patterns

Enrique Romero, Àngela Nebot, Francisco Mugica, 2014, CCIA.

Charting Perceptual Spaces with Fuzzy Rules

Àngela Nebot, Francisco Mugica, Enrique Romero, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration

Àngela Nebot, Francisco Mugica, Alfredo Vellido, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Term-frequency Inverse Document Frequency for the Assessment of Similarity in Central and State Climate Change Programs: An Example for Mexico

Iván Paz Ortiz, Diego García-Olano, Carlos Gay-Garcia, 2015, SIMULTECH.

Use of Fuzzy Cognitive Maps for Climate System Stability Analysis

Iván Paz Ortiz, Carlos Gay-Garcia, 2012, SIMULTECH.

Using fuzzy cognitive mapping and nonlinear Hebbian Learning for modeling, simulation and assessment of the climate system, based on a planetary boundaries framework

Iván Paz Ortiz, Carlos Gay-Garcia, C. Gay-García, 2014, 2014 4th International Conference On Simulation And Modeling Methodologies, Technologies And Applications (SIMULTECH).

Fuzzy Cognitive Mapping and Nonlinear Hebbian Learning for the Qualitative Simulation of the Climate System, from a Planetary Boundaries Perspective

Iván Paz Ortiz, Iván Paz-Ortiz, Carlos Gay-García, 2014, SIMULTECH.