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Adam E. Gaweda
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2010 – 2019
- 2018
- [c20]Adam E. Gaweda, Michael E. Brier:
Computational Intelligence Methods in Personalized Pharmacotherapy. Advances in Data Analysis with Computational Intelligence Methods 2018: 325-333 - [e1]Adam E. Gaweda, Janusz Kacprzyk, Leszek Rutkowski, Gary G. Yen:
Advances in Data Analysis with Computational Intelligence Methods - Dedicated to Professor Jacek Żurada. Studies in Computational Intelligence 738, Springer 2018, ISBN 978-3-319-67945-7 [contents] - 2017
- [j5]Hossein Mirinejad, Adam E. Gaweda, Michael E. Brier, Jacek M. Zurada, Tamer Inanc:
Individualized drug dosing using RBF-Galerkin method: Case of anemia management in chronic kidney disease. Comput. Methods Programs Biomed. 148: 45-53 (2017) - 2015
- [j4]Elom Akabua, Tamer Inanc, Adam E. Gaweda, Michael E. Brier, Seongho Kim, Jacek M. Zurada:
Individualized model discovery: The case of anemia patients. Comput. Methods Programs Biomed. 118(1): 23-33 (2015) - 2011
- [c19]Brendan Nichols, Rajiv P. Shrestha, Joseph Horowitz, C. V. Hollot, Michael J. Germain, Adam E. Gaweda, Yossi Chait:
Simplification of an erythropoiesis model for design of anemia management protocols in end stage renal disease. EMBC 2011: 83-86 - [c18]Adam E. Gaweda, Eric Patterson:
Individual identification based on facial dynamics during expressions using active-appearance-based Hidden Markov Models. FG 2011: 797-802 - [c17]Jordan M. Malof, Adam E. Gaweda:
Optimizing drug therapy with Reinforcement Learning: The case of Anemia Management. IJCNN 2011: 2088-2092
2000 – 2009
- 2009
- [c16]Adam E. Gaweda:
Improving management of Anemia in End Stage Renal Disease using Reinforcement Learning. IJCNN 2009: 953-958 - 2007
- [c15]Adam E. Gaweda, Mehmet Kerem Müezzinoglu, Jacek M. Zurada, Michael E. Brier:
Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble. IJCNN 2007: 2268-2270 - 2006
- [c14]Adam E. Gaweda, Mehmet Kerem Müezzinoglu, Alfred A. Jacobs, George R. Aronoff, Michael E. Brier:
Model Predictive Control with Reinforcement Learning for Drug Delivery in Renal Anemia Management. EMBC 2006: 5177-5180 - 2005
- [j3]Adam E. Gaweda, Mehmet Kerem Müezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier:
Individualization of pharmacological anemia management using reinforcement learning. Neural Networks 18(5-6): 826-834 (2005) - [c13]Adam E. Gaweda, Mehmet Kerem Müezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier:
Incorporating prior knowledge into Q-learning for drug delivery individualization. ICMLA 2005 - 2004
- [c12]Adam E. Gaweda, Alfred A. Jacobs, George R. Aronoff, Michael E. Brier:
Perception-based expert system with application to clinical decision making. FUZZ-IEEE 2004: 907-910 - [c11]Adam E. Gaweda, Rafal Scherer:
Fuzzy Number-Based Hierarchical Fuzzy System. ICAISC 2004: 302-307 - [c10]Adam E. Gaweda, Alfred A. Jacobs, George R. Aronoff, Michael E. Brier:
Intelligent control for drug delivery in management of renal anemia. ICMLA 2004: 355-359 - 2003
- [j2]Adam E. Gaweda, Alfred A. Jacobs, Michael E. Brier, Jacek M. Zurada:
Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study. Neural Networks 16(5-6): 841-845 (2003) - [j1]Adam E. Gaweda, Jacek M. Zurada:
Data-driven linguistic modeling using relational fuzzy rules. IEEE Trans. Fuzzy Syst. 11(1): 121-134 (2003) - [c9]Adam E. Gaweda, Alfred A. Jacobs, Michael E. Brier:
Fuzzy rule-based approach to automatic drug dosing in renal failure. FUZZ-IEEE 2003: 1206-1209 - [c8]Marcin Korytkowski, Marcin Gabryel, Adam E. Gaweda:
Recursive Probabilistic Neural Networks. PPAM 2003: 626-631 - [c7]Rafal Scherer, Janusz T. Starczewski, Adam E. Gaweda:
New Methods for Uncertainty Representations in Neuro-Fuzzy Systems. PPAM 2003: 659-667 - 2002
- [c6]Adam E. Gaweda, Jacek M. Zurada, Peter B. Aronhime:
Efficient data-driven modeling with fuzzy relational rule network. FUZZ-IEEE 2002: 174-178 - 2001
- [c5]Adam E. Gaweda, Jacek M. Zurada:
Data-driven Design of Fuzzy System With Rational Input Partition. FUZZ-IEEE 2001: 610-613 - [c4]Adam E. Gaweda, Jacek M. Zurada, Rudy Setiono:
Input Selection in Data-Driven Fuzzy Modelling. FUZZ-IEEE 2001: 1251-1254 - 2000
- [c3]Adam E. Gaweda, Jacek M. Zurada:
Fuzzy Neural Network with Relational Fuzzy Rules. IJCNN (5) 2000: 3-7 - [c2]Rudy Setiono, Adam E. Gaweda:
Neural Network Pruning for Function Approximation. IJCNN (6) 2000: 443-448
1990 – 1999
- 1999
- [c1]Adam E. Gaweda, Jacek M. Zurada:
Application of self-organizing network and MLP for fuzzy rule extraction. IJCNN 1999: 4289-4293
Coauthor Index
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