| Wearable sensor shown to specifically quantify pruritic behaviors in dogs JD Griffies, J Zutty, M Sarzen, S Soorholtz BMC veterinary research 14, 1-10, 2018 | 34 | 2018 |
| Multiple objective vector-based genetic programming using human-derived primitives J Zutty, D Long, H Adams, G Bennett, C Baxter Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 21 | 2015 |
| Qualification testing of the Agilent M9703A digitizer for use in a bathymetric LiDAR G Tuell, R James, RL Ortman, CR Valenta, D Carr, J Zutty 2014 IEEE Geoscience and Remote Sensing Symposium, 2703-2705, 2014 | 6 | 2014 |
| A visual decision support tool for appendectomy care E Clarkson, J Zutty, MV Raval Journal of Medical Systems 42, 1-8, 2018 | 5 | 2018 |
| Evolving SimGANs to improve abnormal electrocardiogram classification G Wang, A Thite, R Talebi, A D'Achille, A Mussa, J Zutty Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 4 | 2022 |
| On the interpolation of ultrasonic guided wave signals JE Michaels, RJ Liou, JP Zutty, TE Michaels AIP Conference Proceedings 1430 (1), 679-686, 2012 | 4 | 2012 |
| Designing a novel and high performance algorithmic trading model using evolutionary AutoML and technical analysis A Tirumala, R Bhatnager, S Mudireddy, P Manjunath, J Zutty Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 3 | 2022 |
| Concurrent neural tree and data preprocessing AutoML for image classification A Thite, M Dodda, A Liu, P Agarwal, J Zutty Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 3 | 2021 |
| Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming Framework J Zutty, D Long, G Rohling Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 3 | 2016 |
| STAC: a comprehensive sensor fusion model for scene characterization Z Kira, AR Wagner, C Kennedy, J Zutty, G Tuell Multisensor, Multisource Information Fusion: Architectures, Algorithms, and …, 2015 | 3 | 2015 |
| Supporting robust system analysis with the test matrix tool framework E Clarkson, J Hurt, J Zutty, C Skeels, B Parise, G Rohling Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced …, 2013 | 3 | 2013 |
| Reducing bathymetric-lidar algorithm uncertainty with genetic programming and the evolutionary multi-objective algorithm design engine J Zutty, D Carr, R Talebi, J Rick, C Valenta, G Rohling Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 2 | 2019 |
| Automated machine learning: A biologically inspired approach JP Zutty Georgia Institute of Technology, 2018 | 2 | 2018 |
| Solving test case based problems with fuzzy dominance J Zutty, G Rohling Proceedings of the Genetic and Evolutionary Computation Conference, 529-536, 2017 | 2 | 2017 |
| Optimization of a Factory Line Using Multi-Objective Evolutionary Algorithms A Hardin, J Zutty, G Bennett, N Huang, G Rohling Dynamics in Logistics: Proceedings of the 4th International Conference LDIC …, 2016 | 2 | 2016 |
| Simulation and optimization-based method of environmental parameter distribution from airborne bathymetric LIDAR data T Lang, R Guild, CR Valenta, D Carr, J Zutty Laser Radar Technology and Applications XXVI 11744, 23-34, 2021 | 1 | 2021 |
| BathEMADE: Evolutionary Multi-objective Algorithm Design Engine for Bathymetric LIDAR J Zutty, JR Rodd Talebi, C Valenta, D Carr, G Rohling Georgia Institute of Technology, 0 | 1 | |
| LLM Guided Evolution-The Automation of Models Advancing Models C Morris, M Jurado, J Zutty arXiv preprint arXiv:2403.11446, 2024 | | 2024 |
| EMADE for Intelligence Surveillance and Reconnaissance Applications J Zutty, R Talebi, A Dunn, R Samuelson, G Rohling | | 2018 |
Christopher R. ValentaPrincipal Research Engineer Georgia Tech Research InstituteVerified email at gtri.gatech.edu
