| An examination of credit recovery students’ use of computer-based scaffolding in a problem-based, scientific inquiry unit BR Belland, DM Weiss, NJ Kim, J Piland, J Gu International journal of science and mathematics education 17, 273-293, 2019 | 14 | 2019 |
| Network analysis of synonymous codon usage K Newaz, G Wright, J Piland, J Li, PL Clark, SJ Emrich, T Milenković Bioinformatics 36 (19), 4876-4884, 2020 | 10 | 2020 |
| Multi‐layer sequential network analysis improves protein 3D structural classification K Newaz, J Piland, PL Clark, SJ Emrich, J Li, T Milenković Proteins: Structure, Function, and Bioinformatics 90 (9), 1721-1731, 2022 | 5 | 2022 |
| Model focus improves performance of deep learning-based synthetic face detectors J Piland, A Czajka, C Sweet IEEE Access, 2023 | 4 | 2023 |
| Explain to me: Salience-based explainability for synthetic face detection models CR Crum, P Tinsley, A Boyd, J Piland, C Sweet, T Kelley, K Bowyer, ... IEEE Transactions on Artificial Intelligence, 2023 | 3 | 2023 |
| High school students' collaboration and engagement with scaffolding and information as predictors of argument quality during problem-based learning BR Belland, NJ Kim, DM Weiss, J Piland Philadelphia, PA: International Society of the Learning Sciences., 2017 | 3 | 2017 |
| Improving Model's Focus Improves Performance of Deep Learning-Based Synthetic Face Detectors J Piland, A Czajka, C Sweet arXiv preprint arXiv:2303.00818, 2023 | 1 | 2023 |
| Dynamic network analysis improves protein 3D structural classification K Newaz, J Piland, PL Clark, SJ Emrich, J Li, T Milenkovic arXiv preprint arXiv:2105.07079, 2021 | 1 | 2021 |
| Non-Generative Energy Based Models J Piland, C Sweet, P Saboia, C Vardeman, A Czajka 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
| Network-based Approaches to Understanding Protein Structure and Folding Process JC Piland University of Notre Dame, 2021 | | 2021 |
| Impact of Using a Generic Argumentation Scaffold in Two Successive Problem-Based Learning Units on Different Topics NJ Kim, M Weiss, J Piland | | |
