Talita Perciano
Orcid: 0000-0002-2388-1803
According to our database1,
Talita Perciano
authored at least 30 papers
between 2008 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
CoRR, 2024
Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science.
CoRR, 2024
2023
J. Comput. Sci., January, 2023
IEEE Computer Graphics and Applications, 2023
2022
CoRR, 2022
Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation.
Adv. Artif. Intell. Mach. Learn., 2022
2021
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization.
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021
Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel.
Proceedings of the 21st Eurographics Symposium on Parallel Graphics and Visualization, 2021
2020
Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels.
CoRR, 2020
Shared-Memory Parallel Probabilistic Graphical Modeling Optimization: Comparison of Threads, OpenMP, and Data-Parallel Primitives.
Proceedings of the High Performance Computing - 35th International Conference, 2020
Proceedings of the Computational Science - ICCS 2020, 2020
2018
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives.
Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018
2017
Proceedings of the 7th IEEE Symposium on Large Data Analysis and Visualization, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible.
Proceedings of the Computational Imaging XIV, San Francisco, 2016
2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-4949-1, 2013
2012
Detection of thin and ramified structures in images using Markov random fields and perceptual information (Detecção de estruturas finas e ramificadas em imagens usando campos aleatórios de Markov e informação perceptual).
PhD thesis, 2012
Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function
CoRR, 2012
How to combine TerraSAR-X and Cosmo-SkyMed high-resolution images for a better scene understanding?
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
A hierarchical Markov random field for road network extraction and its application with optical and SAR data.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
2010
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010
Ridge Linking Using an Adaptive Oriented Mask Applied to Plant Root Images with Thin Structures.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010
2008
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008