Ernesto C. Martínez

35 papers C 2Journal 31Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Knowledge graph life cycle for cognitive agents - A case study on automated negotiation in smart grids.
Expert Syst. Appl.
Dan Ezequiel Kröhling, Ernesto C. Martínez
2026 J jnl
Online redesign of dynamic experiments for high-throughput bioprocess development using deep reinforcement learning.
Comput. Chem. Eng.
Martin F. Luna, Federico Mione, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou
2025 — conf
Wind Farm Power Prediction Using a Machine Learning Surrogate Model from a First-Principles Simulation Model.
ICINCO (1)
Sebastian E. Pralong, Samuel Martínez-Gutiérrez, Dan Ezequiel Kröhling, Alejandro Merino, Gonzalo E. Alvarez, Daniel Sarabia, Ernesto C. Martínez
2024 J jnl
A data-driven model for the operation and management of prosumer markets in electric smart grids.
Comput. Ind. Eng.
Gonzalo E. Alvarez, Dan Ezequiel Kröhling, Ernesto C. Martínez
2024 J jnl
A workflow management system for reproducible and interoperable high-throughput self-driving experiments.
Comput. Chem. Eng.
Federico Mione, Lucas Kaspersetz, Martin F. Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Karolin Kemmer, Marie-Therese Schermeyer, Ernesto C. Martínez, Peter Neubauer, Mariano Nicolás Cruz Bournazou
2024 C conf
Context-Aware Cognitive Agents using Knowledge Graphs for Automated Negotiation.
CLEI
Dan Ezequiel Kröhling, Omar J. A. Chiotti, Ernesto C. Martínez
2024 J jnl
Learning and adaptation of strategies in automated negotiations between context-aware agents.
Inteligencia Artif.
Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez
2023 J jnl
Artificial Theory of Mind in contextual automated negotiations within peer-to-peer markets.
Eng. Appl. Artif. Intell.
Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez
2022 J jnl
A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations.
Expert Syst. Appl.
Dan Ezequiel Kröhling, Federico Mione, Federico Hernández, Ernesto C. Martínez
2022 J jnl
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development.
CoRR
Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto C. Martínez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer
2021 J jnl
A context-aware approach to automated negotiation using reinforcement learning.
Adv. Eng. Informatics
Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez
2021 J jnl
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning.
CoRR
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
2020 J jnl
A repeated-negotiation game approach to distributed (re)scheduling of multiple projects using decoupled learning.
Simul. Model. Pract. Theory
Laura Tosselli, Verónica Bogado, Ernesto C. Martínez
2019 J jnl
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning.
CoRR
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
2019 J jnl
The importance of context-dependent learning in negotiation agents.
Inteligencia Artif.
Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez
2018 J jnl
A Cognitive Approach to Real-time Rescheduling using SOAR-RL.
CoRR
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
2018 J jnl
Generating Rescheduling Knowledge using Reinforcement Learning in a Cognitive Architecture.
CoRR
Jorge A. Palombarini, Juan Cruz Barsce, Ernesto C. Martínez
2018 J jnl
Multi-agent Learning by Trial and Error for Resource Leveling during Multi-Project (Re)scheduling.
J. Comput. Sci. Technol.
Laura Tosselli, Verónica Bogado, Ernesto C. Martínez
2018 J jnl
Robust insulin estimation under glycemic variability using Bayesian filtering and Gaussian process models.
Biomed. Signal Process. Control.
Luis Omar Ávila, Mariano De Paula, Ernesto C. Martínez, Marcelo Luis Errecalde
2018 J jnl
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization.
CLEI Electron. J.
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
2018 J jnl
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization.
CoRR
Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez
2017 J jnl
Iterative modeling and optimization of biomass production using experimental feedback.
Comput. Chem. Eng.
Martin F. Luna, Ernesto C. Martínez
2017 C conf
Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization.
CLEI
Juan Cruz Barsce, Jorge Palombarini, Ernesto C. Martínez
2015 J jnl
An active inference approach to on-line agent monitoring in safety-critical systems.
Adv. Eng. Informatics
Luis Omar Ávila, Ernesto C. Martínez
2015 J jnl
Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes.
Appl. Soft Comput.
Mariano De Paula, Luis Omar Ávila, Ernesto C. Martínez
2015 J jnl
On-line policy learning and adaptation for real-time personalization of an artificial pancreas.
Expert Syst. Appl.
Mariano De Paula, Gerardo G. Acosta, Ernesto C. Martínez
2014 J jnl
Behavior monitoring under uncertainty using Bayesian surprise and optimal action selection.
Expert Syst. Appl.
Luis Omar Ávila, Ernesto C. Martínez
2013 J jnl
Dynamic optimization of bioreactors using probabilistic tendency models and Bayesian active learning.
Comput. Chem. Eng.
Ernesto C. Martínez, Mariano D. Cristaldi, Ricardo J. Grau
2012 J jnl
SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning.
Expert Syst. Appl.
Jorge Palombarini, Ernesto C. Martínez
2012 J jnl
SmartGantt - An interactive system for generating and updating rescheduling knowledge using relational abstractions.
Comput. Chem. Eng.
Jorge Palombarini, Ernesto C. Martínez
2012 J jnl
Task Rescheduling using Relational Reinforcement Learning.
Inteligencia Artif.
Jorge Palombarini, Ernesto C. Martínez
2011 J jnl
Model-free control based on reinforcement learning for a wastewater treatment problem.
Appl. Soft Comput.
Syam Syafiie, Fernando Tadeo, Ernesto C. Martínez, Teresa Alvarez
2007 J jnl
Model-free learning control of neutralization processes using reinforcement learning.
Eng. Appl. Artif. Intell.
Syam Syafiie, Fernando Tadeo, Ernesto C. Martínez
2007 J jnl
Performance monitoring of industrial controllers based on the predictability of controller behavior.
Comput. Chem. Eng.
Rachid A. Ghraizi, Ernesto C. Martínez, César de Prada, Francisco Cifuentes, José Luis Martínez del Pozo
2005 — conf
Macro-Actions in Model-Free Intelligent Control with Application to pH Control.
CDC/ECC
Syam Syafiie, Fernando Tadeo, Ernesto C. Martínez