| Moving in time and space–Location intelligence for carsharing decision support C Willing, K Klemmer, T Brandt, D Neumann Decision Support Systems 99, 75-85, 2017 | 86 | 2017 |
| Towards algorithm auditing: a survey on managing legal, ethical and technological risks of AI, ML and associated algorithms A Koshiyama, E Kazim, P Treleaven, P Rai, L Szpruch, G Pavey, ... | 75* | 2021 |
| Augmenting correlation structures in spatial data using deep generative models K Klemmer, A Koshiyama, S Flennerhag arXiv preprint arXiv:1905.09796, 2019 | 27 | 2019 |
| D3P: Data-driven demand prediction for fast expanding electric vehicle sharing systems M Luo, B Du, K Klemmer, H Zhu, H Ferhatosmanoglu, H Wen Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 24 | 2020 |
| Community structures, interactions and dynamics in London's bicycle sharing network F Munoz-Mendez, K Han, K Klemmer, S Jarvis Proceedings of the 2018 ACM international joint conference and 2018 …, 2018 | 23 | 2018 |
| Auxiliary-task learning for geographic data with autoregressive embeddings K Klemmer, DB Neill SIGSPATIAL 2021, 2021 | 18* | 2021 |
| Positional Encoder Graph Neural Networks for Geographic Data K Klemmer, N Safir, DB Neill AISTATS 2023, 2021 | 17 | 2021 |
| SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss K Klemmer, T Xu, B Acciaio, DB Neill AAAI 2022, 2022 | 16 | 2022 |
| ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery G Reiersen, D Dao, B Lütjens, K Klemmer, K Amara, A Steinegger, ... AAAI 2022, 2022 | 16 | 2022 |
| Dynamic demand prediction for expanding electric vehicle sharing systems: A graph sequence learning approach M Luo, H Wen, Y Luo, B Du, K Klemmer, H Zhu arXiv preprint arXiv:1903.04051, 2019 | 14 | 2019 |
| Understanding spatial patterns in rape reporting delays K Klemmer, DB Neill, SA Jarvis Royal Society open science 8 (2), 201795, 2021 | 12 | 2021 |
| Explaining spatio-temporal dynamics in carsharing: a case study of Amsterdam K Klemmer, C Willing, S Wagner, T Brandt AMCIS 2016, 2016 | 10 | 2016 |
| Generative modeling of spatio-temporal weather patterns with extreme event conditioning K Klemmer, S Saha, M Kahl, T Xu, XX Zhu ICLR 2021 Workshop AIMOCC, 2021 | 9 | 2021 |
| Isolating the effect of cycling on local business environments in London K Klemmer, T Brandt, S Jarvis Plos one 13 (12), e0209090, 2018 | 9 | 2018 |
| Population mapping in informal settlements with high-resolution satellite imagery and equitable ground-truth K Klemmer, G Yeboah, JP de Albuquerque, SA Jarvis arXiv preprint arXiv:2009.08410, 2020 | 8 | 2020 |
| SatCLIP: Global, general-purpose location embeddings with satellite imagery K Klemmer, E Rolf, C Robinson, L Mackey, M Rußwurm arXiv preprint arXiv:2311.17179, 2023 | 7 | 2023 |
| Geographic location encoding with spherical harmonics and sinusoidal representation networks M Rußwurm, K Klemmer, E Rolf, R Zbinden, D Tuia ICLR 2024, 2023 | 4 | 2023 |
| Deployment optimization for shared e-mobility systems with multi-agent deep neural search M Luo, B Du, K Klemmer, H Zhu, H Wen IEEE Transactions on Intelligent Transportation Systems 23 (3), 2549-2560, 2021 | 4 | 2021 |
| Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery G Reiersen, D Dao, B Lütjens, K Klemmer, X Zhu, C Zhang ICML 2021 Workshop Tackling Climate Change with Machine Learning, 2021 | 4 | 2021 |
| Mission Critical--Satellite Data is a Distinct Modality in Machine Learning E Rolf, K Klemmer, C Robinson, H Kerner arXiv preprint arXiv:2402.01444, 2024 | 3 | 2024 |
Daniel B. NeillNew York UniversityVerified email at nyu.edu
