DroughtED: A dataset and methodology for drought forecasting spanning multiple climate zones C Minixhofer, M Swan, C McMeekin, P Andreadis Tackling Climate Change with Machine Learning: Workshop at ICML 2021, 2021 | 9 | 2021 |
Class Introspection: A Novel Technique for Detecting Unlabeled Subclasses by Leveraging Classifier Explainability Methods P Kage, P Andreadis arXiv preprint arXiv:2107.01657, 2021 | 4 | 2021 |
Smartorch: An adaptive orchestration system for human-machine collectives M Rovatsos, DI Diochnos, Z Wen, S Ceppi, P Andreadis Proceedings of the Symposium on Applied Computing, 37-44, 2017 | 4 | 2017 |
Benchmarking the Accuracy of Algorithms for Memory-Constrained Image Classification S Müksch, T Olausson, J Wilhelm, P Andreadis 2020 IEEE/ACM Symposium on Edge Computing (SEC), 400-404, 2020 | 3 | 2020 |
Diversity-Aware Recommendation for Human Collectives P Andreadis, S Ceppi, M Rovatsos, S Ramamoorthy Procs DIVERSITY, 2016 | 2 | 2016 |
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices S Müksch, T Olausson, J Wilhelm, P Andreadis arXiv preprint arXiv:2005.04968, 2020 | 1 | 2020 |
Coarse Preferences: Representation, Elicitation, and Decision Making P Andreadis University of Edinburgh, 2018 | 1 | 2018 |
Reinforcement Learning Tutorial 4, Week 5—with solutions—Monte Carlo Control/TD Prediction P Andreadis, S Rakshit | | 2024 |
Reinforcement Learning Tutorial 2, Week 3 P Andreadis, A Jelley, S Rakshit | | 2024 |
Optimal Airline Route Network Planning Model D Lakmanaarachchi, P Andreadis 51st European Transport Conference, 2023 | | 2023 |
Designing Useful Learning Analytics: Developing an Adaptable LA Dashboard for the School of Informatics P Boocock, S Sandu, X Liu, Q Liang, H Yorston, A Constantin, ... University of Edinburgh Learning and Teaching Conference 2023, 2023 | | 2023 |
IAML-Study Guide-Week S Paul, P Andreadis, N Goddard | | 2022 |
Monkey MDP Modelling Questions and Answers P Andreadis | | 2018 |