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Javier Viaña
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Journal Articles
- 2022
- [j2]Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu:
Why Cauchy Membership Functions: Reliability. Adv. Artif. Intell. Mach. Learn. 2(2) (2022) - 2021
- [j1]Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu:
Why Cauchy Membership Functions: Efficiency. Adv. Artif. Intell. Mach. Learn. 1(1): 82-89 (2021)
Conference and Workshop Papers
- 2023
- [c13]Javier Viaña, Andrew Vanderburg:
Forcing the Network to Use Human Explanations in Its Inference Process. NAFIPS 2023: 127-140 - [c12]Javier Viaña, Kelly Cohen, Stephen Saunders, Naashom Marx, Brian Cobb, Hannah Meredith, Madison Bourbon:
Review of a Fuzzy Logic Based Airport Passenger Flow Prediction System. NAFIPS 2023: 241-245 - 2022
- [c11]Baptiste Courcier, Samuel Richard-Desjardins, Christophe Farges, Franck Cazaurang, Lynn Pickering, Javier Viaña Perez, Kelly Cohen:
Genetic Fuzzy System for Pitch Control on a F-4 Phantom. NAFIPS 2022: 31-39 - [c10]Sofia Holguin, Javier Viaña, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich:
Why Sine Membership Functions. NAFIPS 2022: 83-89 - [c9]Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen:
Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. NAFIPS 2022: 298-307 - [c8]Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen:
Multiple Hidden Layered CEFYDRA: Cluster-First Explainable Fuzzy-Based Deep Self-reorganizing Algorithm. NAFIPS 2022: 308-322 - [c7]Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen:
Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. NAFIPS 2022: 323-335 - 2021
- [c6]Katherine L. O'Grady, Javier Viaña, Kelly Cohen:
Predicting Diabetes Diagnosis with Binary-To-Fuzzy Extrapolations and Weights Tuned via Genetic Algorithm. NAFIPS 2021: 321-331 - [c5]Javier Viaña, Kelly Cohen:
Fuzzy-Based, Noise-Resilient, Explainable Algorithm for Regression. NAFIPS 2021: 461-472 - [c4]Javier Viaña, Kelly Cohen:
Evaluation Criteria for Noise Resilience in Regression Algorithms. NAFIPS 2021: 473-485 - 2020
- [c3]Javier Viaña, Kelly Cohen:
ExTree - Explainable Genetic Feature Coupling Tree Using Fuzzy Mapping for Dimensionality Reduction with Application to NACA 0012 Airfoils Self-Noise Data Set. NAFIPS 2020: 289-300 - [c2]Javier Viaña, Kelly Cohen:
Fast Training Algorithm for Genetic Fuzzy Controllers and Application to an Inverted Pendulum with Free Cart. NAFIPS 2020: 301-311 - 2019
- [c1]Javier Viaña, Kelly Cohen:
Fault Tolerance Tool for Human and Machine Interaction & Application to Civilian Aircraft. LA-CCI 2019: 1-2
Parts in Books or Collections
- 2023
- [p1]Javier Viaña, Stephan Ralescu, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich:
Extension to Multidimensional Problems of a Fuzzy-Based Explainable and Noise-Resilient Algorithm. Decision Making Under Uncertainty and Constraints 2023: 289-296
Informal and Other Publications
- 2024
- [i3]Mariona Badenas-Agusti, Javier Viaña, Andrew Vanderburg, Simon Blouin, Patrick Dufour, Siyi Xu, Siyi Sha:
cecilia: A Machine Learning-Based Pipeline for Measuring Metal Abundances of Helium-rich Polluted White Dwarfs. CoRR abs/2402.05176 (2024) - [i2]Javier Viaña:
Front-propagation Algorithm: Explainable AI Technique for Extracting Linear Function Approximations from Neural Networks. CoRR abs/2405.16259 (2024) - 2023
- [i1]Mayeul Aubin, Carolina Cuesta-Lázaro, Ethan Tregidga, Javier Viaña, Cecilia Garraffo, Iouli E. Gordon, Mercedes López-Morales, Robert J. Hargreaves, Vladimir Yu. Makhnev, Jeremy J. Drake, Douglas P. Finkbeiner, Phillip Cargile:
Simulation-based Inference for Exoplanet Atmospheric Retrieval: Insights from winning the Ariel Data Challenge 2023 using Normalizing Flows. CoRR abs/2309.09337 (2023)
Coauthor Index
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