Fused methods for visual saliency estimation. - Amanda S. Danko; Siwei Lyu (Image Processing: Machine Vision Applications, 2015)

Better together: Fusing visual saliency methods for retrieving perceptually-similar images. - Amanda S. Danko; Siwei Lyu (ICCE, 2015)

My brain is my passport. Verify me. - Amanda S. Danko; Gabriel C. Fernandez (ICCE, 2016)

MinENet: A Dilated CNN for Semantic Segmentation of Eye Features. - Jonathan Perry 003; Amanda S. Fernandez (ICCV Workshops, 2019)

On the Salience of Adversarial Examples. - Amanda S. Fernandez (ISVC (2), 2019)

uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds. - Hamidreza Moradi; Wei Wang 054; Amanda S. Fernandez; Dakai Zhu 001 (CoRR, 2019)

EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation. - Jonathan Perry 003; Amanda S. Fernandez (ECCV Workshops (1), 2020)

uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds. - Hamidreza Moradi; Wei Wang 054; Amanda S. Fernandez; Dakai Zhu 001 (IC2E, 2020)

A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks. - Shahzeb Haider; Adnan Akhunzada; Iqra Mustafa; Tanil Bharat Patel; Amanda S. Fernandez; Kim-Kwang Raymond Choo; Javed Iqbal (IEEE Access, 2020)

FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems. - Waqas Haider; Nour Moustafa; Marwa Keshk; Amanda S. Fernandez; Kim-Kwang Raymond Choo; Abdul Wahab (Comput. Secur., 2020)

SAD: Saliency-based Defenses Against Adversarial Examples. - Richard Tran; David Patrick; Michael Geyer; Amanda S. Fernandez (CoRR, 2020)

Defining Point Cloud Boundaries Using Pseudopotential Scalar Field Implicit Surfaces. - Ethan Payne; Amanda S. Fernandez (ICIP, 2022)

Lessons learned from Successful Online Computer Science PD Completers in the Midst of a Pandemic. - 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 (RESPECT, 2022)

Reconstructive Training for Real-World Robustness in Image Classification. - David Patrick; Michael Geyer; Richard Tran; Amanda S. Fernandez (WACV (Workshops), 2022)

Creating CS Advocates with In-Service High School Teachers. - Michael J. Zawatski; Priya Prasad; Crystal Kalinec-Craig; Amanda S. Fernandez; Emily P. Bonner; María G. Arreguín; Jina Wilde; Darean Wilde; Timothy T. Yuen (SIGCSE (2), 2023)

An Exact Kernel Equivalence for Finite Classification Models. - Brian Wesley Bell; Michael Geyer; David Glickenstein; Amanda S. Fernandez; Juston Moore (TAG-ML, 2023)

You Make Me Sick! The Effect of Stairs on Presence, Cybersickness, and Perception of Embodied Conversational Agents. - Samuel Ang; Amanda S. Fernandez; Michael Rushforth; John Quarles (VR, 2023)

Synthetic ECG Signal Generation Using Probabilistic Diffusion Models. - Edmond Adib; Amanda S. Fernandez; Fatemeh Afghah; John J. Prevost (IEEE Access, 2023)

Semantic Segmentation of Micrographs for Nuclear Fuel Analysis and Degradation Quantification. - Christopher Snyder; Katherine Montoya; David Patrick; Jordan Stone; Daniel Mohanadhas; Elizabeth Sooby; Amanda S. Fernandez (IEEE Access, 2023)

Graphite-23 Dataset for Semantic Segmentation of Nuclear Fuel Micrographs. - Christopher Snyder; Katherine Montoya; Jordan Stone; Elizabeth Sooby; Amanda S. Fernandez (IEEE DataPort, 2023)

Explaining Model Parameters Using the Product Space. - Ethan Payne; David Patrick; Amanda S. Fernandez (ICPR (10), 2024)

Visualizing and Generalizing Integrated Attributions. - Ethan Payne; David Patrick; Amanda S. Fernandez (ICPR (9), 2024)

A Dataset for the Prediction of Spanish Language Fluency by Quantification of Linguistic Components with Artificial Intelligence. - Brock P. Wilson; Anthony Rios; Amanda S. Fernandez; Michael Rushforth; Samuel Ang; John Quarles; Mario A Flores (NLPIR, 2024)

Generalizing the CS Course-based Undergraduate Research Experience (CURE). - Amanda S. Fernandez (SIGCSE (2), 2024)

CS1 with a Side of AI: Teaching Software Verification for Secure Code in the Era of Generative AI. - Amanda S. Fernandez; Kimberly A. Cornell (SIGCSE (1), 2024)

Experiences in Delivering Online CS Teacher Professional Development. - Jina Wilde; Emiliano Beltran; Michael J. Zawatski; Amanda S. Fernandez; Priya V. Prasad; Timothy T. Yuen (SIGCSE (1), 2024)

Persistent Classification: A New Approach to Stability of Data and Adversarial Examples. - Brian Bell 002; Michael Geyer; David Glickenstein; Keaton Hamm; Carlos Scheidegger; Amanda S. Fernandez; Juston Moore (CoRR, 2024)

A Course-based Undergraduate Research Experience (CURE) Focused Broadly on Research Methods in Computer Science. - Amanda S. Fernandez (SIGCSE (1), 2025)

Incorporating LLM Activities into Established CS1 Curriculum: An Experience Report. - Amanda S. Fernandez; David Patrick; Mauricio Gomez; Kimberly A. Cornell (J. Comput. Sci. Coll., 2025)

Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. - Brian Bell 002; Michael Geyer; David Glickenstein; Keaton Hamm; Carlos Scheidegger; Amanda S. Fernandez; Juston Moore (Stat. Anal. Data Min., 2025)