| Branching principles of animal and plant networks identified by combining extensive data, machine learning and modelling AB Brummer, P Lymperopoulos, J Shen, E Tekin, LP Bentley, V Buzzard, ... Journal of the Royal Society Interface 18 (174), 20200624, 2021 | 14 | 2021 |
| Concept wikification for covid-19 P Lymperopoulos, H Qiu, B Min Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020 | 7 | 2020 |
| NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds P Feeney, S Schneider, P Lymperopoulos, L Liu, M Scheutz, MC Hughes arXiv preprint arXiv:2206.11736, 2022 | 6 | 2022 |
| A neurosymbolic cognitive architecture framework for handling novelties in open worlds S Goel, P Lymperopoulos, R Thielstrom, E Krause, P Feeney, P Lorang, ... Artificial Intelligence 331, 104111, 2024 | 2 | 2024 |
| Exploiting Variable Correlation with Masked Modeling for Anomaly Detection in Time Series P Lymperopoulos, Y Li, L Liu NeurIPS 2022 Workshop on Robustness in Sequence Modeling, 2022 | 2 | 2022 |
| Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver S Gopalakrishnan, U Soni, T Thai, P Lymperopoulos, M Scheutz, ... arXiv preprint arXiv:2107.04303, 2021 | 1 | 2021 |
| Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach AH Lee, P Lymperopoulos, JT Cohen, JB Wong, MC Hughes arXiv preprint arXiv:2104.09327, 2021 | 1 | 2021 |
| Identifying branching principles in biological networks using imaging, modeling, and machine learning AB Brummer, P Lymperopoulos, J Shen, E Tekin, LP Bentley, V Buzzard, ... arXiv preprint arXiv:1903.04642, 2019 | 1 | 2019 |
| Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets P Lymperopoulos, L Liu arXiv preprint arXiv:2402.15524, 2024 | | 2024 |
| NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds S Goel, Y Wei, P Lymperopoulos, M Scheutz, J Sinapov arXiv preprint arXiv:2401.03546, 2024 | | 2024 |
| Deep-learning-based image restoration of depth-resolved, label-free, two-photon images for the quantitative morphological and functional characterization of human cervical tissues CM Polleys, P Lymperopoulos, HT Thieu, E Genega, L Liu, I Georgakoudi Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX …, 2021 | | 2021 |
