Amanda S. Fernandez

28 papers A* 1B 2Journal 11Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Course-based Undergraduate Research Experience (CURE) Focused Broadly on Research Methods in Computer Science. SIGCSE (1) Amanda S. Fernandez
2025	J	`jnl`	Incorporating LLM Activities into Established CS1 Curriculum: An Experience Report. J. Comput. Sci. Coll. Amanda S. Fernandez, David Patrick, Mauricio Gomez, Kimberly A. Cornell
2025	J	`jnl`	Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. Stat. Anal. Data Min. Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore
2024	—	`conf`	A Dataset for the Prediction of Spanish Language Fluency by Quantification of Linguistic Components with Artificial Intelligence. NLPIR Brock P. Wilson, Anthony Rios, Amanda S. Fernandez, Michael Rushforth, Samuel Ang, John Quarles, Mario A. Flores
2024	—	`conf`	CS1 with a Side of AI: Teaching Software Verification for Secure Code in the Era of Generative AI. SIGCSE (1) Amanda S. Fernandez, Kimberly A. Cornell
2024	—	`conf`	Experiences in Delivering Online CS Teacher Professional Development. SIGCSE (1) Jina Wilde, Emiliano Beltran, Michael J. Zawatski, Amanda S. Fernandez, Priya V. Prasad, Timothy T. Yuen
2024	—	`conf`	Explaining Model Parameters Using the Product Space. ICPR (10) Ethan Payne, David Patrick, Amanda S. Fernandez
2024	—	`conf`	Generalizing the CS Course-based Undergraduate Research Experience (CURE). SIGCSE (2) Amanda S. Fernandez
2024	J	`jnl`	Persistent Classification: A New Approach to Stability of Data and Adversarial Examples. CoRR Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore
2024	—	`conf`	Visualizing and Generalizing Integrated Attributions. ICPR (9) Ethan Payne, David Patrick, Amanda S. Fernandez
2023	—	`conf`	An Exact Kernel Equivalence for Finite Classification Models. TAG-ML Brian Wesley Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore
2023	J	`jnl`	An Exact Kernel Equivalence for Finite Classification Models. CoRR Brian Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore
2023	—	`conf`	Creating CS Advocates with In-Service High School Teachers. SIGCSE (2) Michael J. Zawatski, Priya Prasad, Crystal Kalinec-Craig, Amanda S. Fernandez, Emily P. Bonner, María G. Arreguín, Jina Wilde, Darean Wilde, Timothy T. Yuen
2023	J	`jnl`	Semantic Segmentation of Micrographs for Nuclear Fuel Analysis and Degradation Quantification. IEEE Access Christopher Snyder, Katherine Montoya, David Patrick, Jordan Stone, Daniel Mohanadhas, Elizabeth Sooby, Amanda S. Fernandez
2023	J	`jnl`	Synthetic ECG Signal Generation Using Probabilistic Diffusion Models. IEEE Access Edmond Adib, Amanda S. Fernandez, Fatemeh Afghah, John J. Prevost
2023	J	`jnl`	Synthetic ECG Signal Generation using Probabilistic Diffusion Models. CoRR Edmond Adib, Amanda S. Fernandez, Fatemeh Afghah, John Jeff Prevost
2023	A*	`conf`	You Make Me Sick! The Effect of Stairs on Presence, Cybersickness, and Perception of Embodied Conversational Agents. VR Samuel Ang, Amanda S. Fernandez, Michael Rushforth, John Quarles
2022	B	`conf`	Defining Point Cloud Boundaries Using Pseudopotential Scalar Field Implicit Surfaces. ICIP Ethan Payne, Amanda S. Fernandez
2022	—	`conf`	Lessons learned from Successful Online Computer Science PD Completers in the Midst of a Pandemic. RESPECT 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
2022	—	`conf`	Reconstructive Training for Real-World Robustness in Image Classification. WACV (Workshops) David Patrick, Michael Geyer, Richard Tran, Amanda S. Fernandez
2020	J	`jnl`	A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks. IEEE Access Shahzeb Haider, Adnan Akhunzada, Iqra Mustafa, Tanil Bharat Patel, Amanda S. Fernandez, Kim-Kwang Raymond Choo, Javed Iqbal
2020	—	`conf`	EyeSeg: Fast and Efficient Few-Shot Semantic Segmentation. ECCV Workshops (1) Jonathan Perry, Amanda S. Fernandez
2020	J	`jnl`	FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems. Comput. Secur. Waqas Haider, Nour Moustafa, Marwa Keshk, Amanda S. Fernandez, Kim-Kwang Raymond Choo, Abdul Wahab
2020	J	`jnl`	SAD: Saliency-based Defenses Against Adversarial Examples. CoRR Richard Tran, David Patrick, Michael Geyer, Amanda S. Fernandez
2020	B	`conf`	uPredict: A User-Level Profiler-Based Predictive Framework in Multi-Tenant Clouds. IC2E Hamidreza Moradi, Wei Wang, Amanda S. Fernandez, Dakai Zhu
2019	—	`conf`	MinENet: A Dilated CNN for Semantic Segmentation of Eye Features. ICCV Workshops Jonathan Perry, Amanda S. Fernandez
2019	—	`conf`	On the Salience of Adversarial Examples. ISVC (2) Amanda S. Fernandez
2019	J	`jnl`	uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds. CoRR Hamidreza Moradi, Wei Wang, Amanda S. Fernandez, Dakai Zhu