Mark Coletti
Orcid: 0000-0003-1020-531X
According to our database1,
Mark Coletti
authored at least 26 papers
between 1999 and 2023.
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Bibliography
2023
Predicted structural proteome of <i>Sphagnum divinum</i> and proteome-scale annotation.
Bioinform., August, 2023
Expert Syst. J. Knowl. Eng., June, 2023
Multiobjective Hyperparameter Optimization for Deep Learning Interatomic Potential Training Using NSGA-II.
Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
2022
Comput. Sci. Eng., 2022
Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2022
Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022
2021
Proceedings of the Advances in Computational Intelligence Systems, 2021
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021
Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Global Partitioning Elevation Normalization Applied to Building Footprint Prediction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Troubleshooting deep-learner training data problems using an evolutionary algorithm on Summit.
IBM J. Res. Dev., 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer.
Concurr. Comput. Pract. Exp., 2019
Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019
2012
Proceedings of the Advances in Computational Social Science, 2012
Analysis of Emergent Selection Pressure in Evolutionary Algorithm and Machine Learner Offspring Filtering Hybrids.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012
The effects of training set size and keeping rules on the emergent selection pressure of learnable evolution model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2010
Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010
2009
Learnable evolution model performance impaired by binary tournament survival selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
1999
Comparing Performance of the Learnable Evolution Model and Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999