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Andrew W.E. McDonald
Andrew W.E. McDonald
Bestätigte E-Mail-Adresse bei drexel.edu
Titel
Zitiert von
Zitiert von
Jahr
Use fewer instances of the letter “i”: Toward writing style anonymization
AWE McDonald, S Afroz, A Caliskan, A Stolerman, R Greenstadt
Privacy Enhancing Technologies: 12th International Symposium, PETS 2012 …, 2012
1322012
Anonymouth revamped: Getting closer to stylometric anonymity
AWE McDonald, J Ulman, M Barrowclift, R Greenstadt
PETools: Workshop on Privacy Enhancing Tools 20, 2013
142013
Short time‐span ice tracking using sequential AVHRR imagery
RF Vincent, RF Marsden, A McDonald
Atmosphere-Ocean 39 (3), 279-288, 2001
122001
Comet flows: Towards generative modeling of multivariate extremes and tail dependence
A McDonald, PN Tan, L Luo
arXiv preprint arXiv:2205.01224, 2022
72022
Deepextrema: A deep learning approach for forecasting block maxima in time series data
AH Galib, A McDonald, T Wilson, L Luo, PN Tan
arXiv preprint arXiv:2205.02441, 2022
62022
Sparse Super-Regular Networks
AWE McDonald, A Shokoufandeh
18th IEEE International Conference on Machine Learning and Applications, 2019
62019
Directing chemotaxis-based spatial self-organisation via biased, random initial conditions
S Grimes, L Bai, AWE McDonald, DE Breen
International Journal of Parallel, Emergent and Distributed Systems 34 (4 …, 2019
32019
Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models
T Wilson, A McDonald, AH Galib, PN Tan, L Luo
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
22022
Surface marking technique to locate needle insertion point for ultrasound-guided neuraxial block
BP Manickam, A McDonald
BJA: British Journal of Anaesthesia 116 (4), 568-569, 2016
12016
Pushing the Limits of Subseasonal-to-Seasonal Sea Ice Forecasting with Deep Generative Modelling
A McDonald, J Smith, P Yatsyshin, T Andersson, E Bowler, L van Zeeland, ...
EGU24, 2024
2024
Interrogating Sea Ice Predictability with Gradients
HL Joakimsen, I Martinsen, LT Luppino, A McDonald, S Hosking, ...
IEEE Geoscience and Remote Sensing Letters, 2024
2024
Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge
A McDonald, AC Castro, A Fouilloux, RB Lourenco, A Hyde, Y Rao
AGU23, 2023
2023
Deep Generative Modelling for Spatially Sharp Sea Ice Forecasting
A McDonald, J Smith, P Yatsyshin, T Andersson, J Byrne, M Pérez-Ortiz, ...
AGU23, 2023
2023
Self-recover: forecasting block maxima in time series from predictors with disparate temporal coverage using self-supervised learning
AH Galib, A McDonald, PN Tan, L Luo
Proceedings of the Thirty-Second International Joint Conference on …, 2023
2023
Classifying sea ice in high-resolution SAR imagery using deep learning
A McDonald, J Dimasaka, M Plumridge, J Torry, AC Zúñiga González, ...
EGU General Assembly Conference Abstracts, EGU-9816, 2023
2023
DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data
A Hill Galib, A McDonald, T Wilson, L Luo, PN Tan
arXiv e-prints, arXiv: 2205.02441, 2022
2022
Exploiting Graphical Structures of Data and Neural Network Architectures
AWE McDonald
Drexel University, 2022
2022
Towards Modeling Multivariate Extremes with Normalizing Flows
A McDonald, PN Tan, L Luo
AGU Fall Meeting Abstracts 2021, GC45F-0875, 2021
2021
Graph Convolutions with Wavelets for Stream Temperature Forecasting
A McDonald, S Haag, M Campagna, A Shokoufandeh
AGU Fall Meeting 2020, 2020
2020
Ortus: An Emotion-Driven Approach to (artificial) Biological Intelligence
AWE McDonald, S Grimes, DE Breen
European Conference on Artificial Life 2017, 14, 537-544, 2017
2017
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