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ORCIDErnesto C. Martínez
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2020 – today
- 2024
[j22]Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez:
Learning and adaptation of strategies in automated negotiations between context-aware agents. Inteligencia Artif. 27(73): 159-162 (2024)- [j21]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:
A workflow management system for reproducible and interoperable high-throughput self-driving experiments. Comput. Chem. Eng. 187: 108720 (2024) - [c3]Dan Ezequiel Kröhling, Omar J. A. Chiotti, Ernesto C. Martínez:
Context-Aware Cognitive Agents using Knowledge Graphs for Automated Negotiation. CLEI 2024: 1-10 - 2023
- [j20]Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez:
Artificial Theory of Mind in contextual automated negotiations within peer-to-peer markets. Eng. Appl. Artif. Intell. 120: 105887 (2023) - 2022
- [j19]Dan Ezequiel Kröhling, Federico Mione, Federico Hernández, Ernesto C. Martínez:
A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations. Expert Syst. Appl. 191: 116211 (2022) - [i6]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:
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development. CoRR abs/2209.01083 (2022) - 2021
- [j18]Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez:
A context-aware approach to automated negotiation using reinforcement learning. Adv. Eng. Informatics 47: 101229 (2021) - [i5]Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning. CoRR abs/2112.08094 (2021) - 2020
- [j17]Laura Tosselli, Verónica Bogado, Ernesto C. Martínez:
A repeated-negotiation game approach to distributed (re)scheduling of multiple projects using decoupled learning. Simul. Model. Pract. Theory 98 (2020)
2010 – 2019
- 2019
- [j16]Dan Ezequiel Kröhling, Omar Chiotti, Ernesto C. Martínez:
The importance of context-dependent learning in negotiation agents. Inteligencia Artif. 22(63): 135-149 (2019) - [i4]Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning. CoRR abs/1909.08332 (2019) - 2018
- [j15]Luis Omar Ávila, Mariano De Paula, Ernesto C. Martínez, Marcelo Luis Errecalde:
Robust insulin estimation under glycemic variability using Bayesian filtering and Gaussian process models. Biomed. Signal Process. Control. 42: 63-72 (2018) - [j14]Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization. CLEI Electron. J. 21(2) (2018) - [j13]Laura Tosselli, Verónica Bogado, Ernesto C. Martínez:
Multi-agent Learning by Trial and Error for Resource Leveling during Multi-Project (Re)scheduling. J. Comput. Sci. Technol. 18(02): 14 (2018) - [i3]Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization. CoRR abs/1805.04748 (2018) - [i2]Juan Cruz Barsce, Jorge A. Palombarini, Ernesto C. Martínez:
A Cognitive Approach to Real-time Rescheduling using SOAR-RL. CoRR abs/1805.04749 (2018) - [i1]Jorge A. Palombarini, Juan Cruz Barsce, Ernesto C. Martínez:
Generating Rescheduling Knowledge using Reinforcement Learning in a Cognitive Architecture. CoRR abs/1805.04752 (2018) - 2017
- [j12]Martin F. Luna, Ernesto C. Martínez:
Iterative modeling and optimization of biomass production using experimental feedback. Comput. Chem. Eng. 104: 151-163 (2017) - [c2]Juan Cruz Barsce, Jorge Palombarini, Ernesto C. Martínez:
Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization. CLEI 2017: 1-9 - 2015
- [j11]Luis Omar Ávila, Ernesto C. Martínez:
An active inference approach to on-line agent monitoring in safety-critical systems. Adv. Eng. Informatics 29(4): 1083-1095 (2015) - [j10]Mariano De Paula, Luis Omar Ávila, Ernesto C. Martínez:
Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes. Appl. Soft Comput. 35: 310-332 (2015) - [j9]Mariano De Paula, Gerardo G. Acosta, Ernesto C. Martínez:
On-line policy learning and adaptation for real-time personalization of an artificial pancreas. Expert Syst. Appl. 42(4): 2234-2255 (2015) - 2014
- [j8]Luis Omar Ávila, Ernesto C. Martínez:
Behavior monitoring under uncertainty using Bayesian surprise and optimal action selection. Expert Syst. Appl. 41(14): 6327-6345 (2014) - 2013
- [j7]Ernesto C. Martínez, Mariano D. Cristaldi, Ricardo J. Grau:
Dynamic optimization of bioreactors using probabilistic tendency models and Bayesian active learning. Comput. Chem. Eng. 49: 37-49 (2013) - 2012
- [j6]Jorge Palombarini, Ernesto C. Martínez:
Task Rescheduling using Relational Reinforcement Learning. Inteligencia Artif. 15(50): 57-68 (2012) - [j5]Jorge Palombarini, Ernesto C. Martínez:
SmartGantt - An interactive system for generating and updating rescheduling knowledge using relational abstractions. Comput. Chem. Eng. 47: 202-216 (2012) - [j4]Jorge Palombarini, Ernesto C. Martínez:
SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning. Expert Syst. Appl. 39(11): 10251-10268 (2012) - 2011
- [j3]Syam Syafiie, Fernando Tadeo, Ernesto C. Martínez, Teresa Alvarez:
Model-free control based on reinforcement learning for a wastewater treatment problem. Appl. Soft Comput. 11(1): 73-82 (2011)
2000 – 2009
- 2007
- [j2]Rachid A. Ghraizi, Ernesto C. Martínez, César de Prada, Francisco Cifuentes, José Luis Martínez del Pozo:
Performance monitoring of industrial controllers based on the predictability of controller behavior. Comput. Chem. Eng. 31(5-6): 477-486 (2007) - [j1]Syam Syafiie, Fernando Tadeo, Ernesto C. Martínez:
Model-free learning control of neutralization processes using reinforcement learning. Eng. Appl. Artif. Intell. 20(6): 767-782 (2007) - 2005
- [c1]Syam Syafiie, Fernando Tadeo, Ernesto C. Martínez:
Macro-Actions in Model-Free Intelligent Control with Application to pH Control. CDC/ECC 2005: 2710-2715
Coauthor Index
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