Mirtha Lucas

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Localization Algorithm

Machine Learning Methods

Significant Improvement

Top Venues

ECCV Workshops (7)

Publications

Miguel Lerma, Mirtha Lucas
A Vulnerability of Attribution Methods Using Pre-Softmax Scores. CoRR (2023)
Miguel Lerma, Mirtha Lucas
Pre or Post-Softmax Scores in Gradient-based Attribution Methods, What is Best? CoRR (2023)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization. CoRR (2022)
Miguel Lerma, Mirtha Lucas
Grad-CAM++ is Equivalent to Grad-CAM With Positive Gradients. CoRR (2022)
Mirtha Lucas, Miguel Lerma, Jacob Furst, Daniela Raicu
Explainable Model for Localization of Spiculation in Lung Nodules. ECCV Workshops (7) (2022)
Miguel Lerma, Mirtha Lucas
Baseline Computation for Attribution Methods Based on Interpolated Inputs. CoRR (2022)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
RSI-Grad-CAM: Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-Based Localization. ISVC (1) (2022)
Miguel Lerma, Mirtha Lucas
Symmetry-Preserving Paths in Integrated Gradients. CoRR (2021)
Yiyang Wang, Mirtha Lucas, Jacob D. Furst, Amani A. Fawzi, Daniela Raicu
Explainable Deep Learning for Biomarker Classification of OCT Images. BIBE (2020)
Mirtha Lucas, Miguel Lerma, Jacob D. Furst, Daniela Raicu
Heatmap Template Generation for COVID-19 Biomarker Detection in Chest X-rays. BIBE (2020)