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ORCIDAmanda S. Fernandez
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- affiliation: University of Texas at San Antonio, TX, USA
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2020 – today
- 2024
[c18]Ethan Payne
, David Patrick, Amanda S. Fernandez:
Explaining Model Parameters Using the Product Space. ICPR (10) 2024: 1-15- [c17]Ethan Payne, David Patrick, Amanda S. Fernandez:
Visualizing and Generalizing Integrated Attributions. ICPR (9) 2024: 455-470 - [c16]Amanda S. Fernandez, Kimberly A. Cornell:
CS1 with a Side of AI: Teaching Software Verification for Secure Code in the Era of Generative AI. SIGCSE (1) 2024: 345-351 - [c15]Jina Wilde, Emiliano Beltran, Michael J. Zawatski, Amanda S. Fernandez, Priya V. Prasad, Timothy T. Yuen:
Experiences in Delivering Online CS Teacher Professional Development. SIGCSE (1) 2024: 1428-1434 - [c14]Amanda S. Fernandez:
Generalizing the CS Course-based Undergraduate Research Experience (CURE). SIGCSE (2) 2024: 1642-1643 - [i5]Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore:
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples. CoRR abs/2404.08069 (2024) - 2023
- [j4]Edmond Adib, Amanda S. Fernandez, Fatemeh Afghah, John J. Prevost:
Synthetic ECG Signal Generation Using Probabilistic Diffusion Models. IEEE Access 11: 75818-75828 (2023) - [j3]Christopher Snyder, Katherine Montoya, David Patrick, Jordan Stone, Daniel Mohanadhas, Elizabeth Sooby, Amanda S. Fernandez:
Semantic Segmentation of Micrographs for Nuclear Fuel Analysis and Degradation Quantification. IEEE Access 11: 118512-118520 (2023) - [c13]Michael J. Zawatski, Priya Prasad, Crystal Kalinec-Craig, Amanda S. Fernandez, Emily P. Bonner, María G. Arreguín, Jina Wilde, Darean Wilde, Timothy T. Yuen:
Creating CS Advocates with In-Service High School Teachers. SIGCSE (2) 2023: 1312 - [c12]Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore:
An Exact Kernel Equivalence for Finite Classification Models. TAG-ML 2023: 206-217 - [c11]Samuel Ang, Amanda S. Fernandez, Michael Rushforth, John Quarles:
You Make Me Sick! The Effect of Stairs on Presence, Cybersickness, and Perception of Embodied Conversational Agents. VR 2023: 561-570 - [d1]Christopher Snyder, Katherine Montoya, Jordan Stone, Elizabeth Sooby, Amanda S. Fernandez:
Graphite-23 Dataset for Semantic Segmentation of Nuclear Fuel Micrographs. IEEE DataPort, 2023
- [i4]Edmond Adib, Amanda S. Fernandez, Fatemeh Afghah, John Jeff Prevost:
Synthetic ECG Signal Generation using Probabilistic Diffusion Models. CoRR abs/2303.02475 (2023) - [i3]Brian Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore:
An Exact Kernel Equivalence for Finite Classification Models. CoRR abs/2308.00824 (2023) - 2022
- [c10]Ethan Payne, Amanda S. Fernandez:
Defining Point Cloud Boundaries Using Pseudopotential Scalar Field Implicit Surfaces. ICIP 2022: 2806-2810 - [c9]María G. Arreguín, Priya Prasad, Michael J. Zawatski, Jina Wilde, Darean Wilde, Amanda S. Fernandez, Crystal Kalinec-Craig, Emily P. Bonner, Edward Monsibaiz, Timothy T. Yuen:
Lessons learned from Successful Online Computer Science PD Completers in the Midst of a Pandemic. RESPECT 2022: 60-64 - [c8]David Patrick, Michael Geyer, Richard Tran, Amanda S. Fernandez:
Reconstructive Training for Real-World Robustness in Image Classification. WACV (Workshops) 2022: 251-260 - 2020
- [j2]Shahzeb Haider, Adnan Akhunzada, Iqra Mustafa, Tanil Bharat Patel, Amanda S. Fernandez, Kim-Kwang Raymond Choo, Javed Iqbal:
A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks. IEEE Access 8: 53972-53983 (2020) - [j1]Waqas Haider, Nour Moustafa, Marwa Keshk, Amanda S. Fernandez, Kim-Kwang Raymond Choo, Abdul Wahab:
FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems. Comput. Secur. 96: 101906 (2020) - [c7]Jonathan Perry, Amanda S. Fernandez:
EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation. ECCV Workshops (1) 2020: 570-582 - [c6]Hamidreza Moradi, Wei Wang, Amanda S. Fernandez, Dakai Zhu:
uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds. IC2E 2020: 73-82 - [i2]Richard Tran, David Patrick, Michael Geyer, Amanda S. Fernandez:
SAD: Saliency-based Defenses Against Adversarial Examples. CoRR abs/2003.04820 (2020)
2010 – 2019
- 2019
- [c5]Jonathan Perry, Amanda S. Fernandez:
MinENet: A Dilated CNN for Semantic Segmentation of Eye Features. ICCV Workshops 2019: 3671-3676 - [c4]Amanda S. Fernandez:
On the Salience of Adversarial Examples. ISVC (2) 2019: 221-232 - [i1]Hamidreza Moradi, Wei Wang, Amanda S. Fernandez, Dakai Zhu:
uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds. CoRR abs/1908.04491 (2019) - 2016
- [c3]Amanda S. Danko, Gabriel C. Fernandez:
My brain is my passport. Verify me. ICCE 2016: 19-22 - 2015
- [c2]Amanda S. Danko, Siwei Lyu:
Fused methods for visual saliency estimation. Image Processing: Machine Vision Applications 2015: 94050Z - [c1]Amanda S. Danko, Siwei Lyu:
Better together: Fusing visual saliency methods for retrieving perceptually-similar images. ICCE 2015: 507-508
Coauthor Index
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