‪Javier Livio‬ - ‪Google Scholar‬

Get my own profile

Cited by

	All	Since 2019
Citations	51	49
h-index	2	2
i10-index	1	1

0

12

6

20192020202120222023202412 9 3 12 12 1

Co-authors

Wilfredo C. FloresUniversidad Tecnológica Centroamericana, UNITEC HondurasVerified email at ieee.org
David UmphressAuburn UniversityVerified email at eng.auburn.edu
Rania Hodhod

Javier Livio

Javier Livio

Researcher, Auburn University

Verified email at tigermail.auburn.edu - Homepage

Fuzzy Logic AI Machine Learning Reasoning Human Imprecision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
AI Cupper: A fuzzy expert system for sensorial evaluation of coffee bean attributes to derive quality scoring J Livio, R Hodhod IEEE Transactions on Fuzzy Systems 26 (6), 3418-3427, 2018	41	2018
Smart Fuzzy Cupper: Employing approximate reasoning to derive coffee bean quality scoring from individual attributes J Livio, WC Flores, R Hodhod, D Umphress 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2018	9	2018
Employing Machine Learning Techniques in Conjunction with Linguistic Scoring Mechanism to Formalize the Uncertainty Carried by Scoring Numeric Processes Driven by Probabilistic … J Livio Auburn University, 2020	1	2020
Fuzzy Expert Systems: A More Human-Based Approach for Sensorial Evaluation of Coffee-Bean Attributes to Derive Quality Scoring JA Livio		2016

The system can't perform the operation now. Try again later.

Articles 1–4