Cássio Fraga Dantas

Orcid: 0000-0002-1934-0625

According to our database1, Cássio Fraga Dantas authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms.
Remote. Sens., February, 2024

2023
Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Sphere Refinement in Gap Safe Screening.
IEEE Signal Process. Lett., 2023

Counterfactual Explanations for Land Cover Mapping in a Multi-class Setting.
CoRR, 2023

Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Masking Strategies for Background Bias Removal in Computer Vision Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PDiscoNet: Semantically consistent part discovery for fine-grained recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening.
CoRR, 2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Expanding Boundaries of Gap Safe Screening.
J. Mach. Learn. Res., 2021

Safe Screening for Sparse Regression with the Kullback-Leibler Divergence.
Proceedings of the IEEE International Conference on Acoustics, 2021

2019
Accelerating sparse inverse problems using structured approximations. (Approximations structurées pour l'accélération de problèmes inverses parcimonieux).
PhD thesis, 2019

Stable Safe Screening and Structured Dictionaries for Faster ℓ<sub>1</sub> Regularization.
IEEE Trans. Signal Process., 2019

Hyperspectral Image Denoising using Dictionary Learning.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Faster and Still Safe: Combining Screening Techniques and Structured Dictionaries to Accelerate the Lasso.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
Learning Dictionaries as a Sum of Kronecker Products.
IEEE Signal Process. Lett., 2017


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