| -MAPS: From fMRI Data to Functional Brain Networks I Fountalis, C Dovrolis, B Dilkina, S Keilholz International Conference on Complex Networks and their Applications, 1237-1249, 2017 | 1 | 2017 |
| {\delta}-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains I Fountalis, A Bracco, B Dilkina, C Dovrolis, S Keilholz arXiv preprint arXiv:1602.07249, 2016 | 1 | 2016 |
| A data directory to facilitate investigations on worldwide wildlife trafficking ML Gore, R Hilend, JO Prell, E Griffin, JR Macdonald, BB Keskin, A Ferber, ... Big Earth Data 7 (2), 338-348, 2023 | 3 | 2023 |
| A deep learning approach for population estimation from satellite imagery C Robinson, F Hohman, B Dilkina Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, 47-54, 2017 | 109 | 2017 |
| A Deep Learning Approach to Assessing Urban Tree Canopy Using Satellite Imagery in the City of Atlanta N Das, B Dilkina | 1 | |
| A framework for designing and evaluating mixed-initiative optimization systems AE Kirkpatrick, B Dilkina, W Havens ICAPS Workshop on Mixed-Initiative Planning and Scheduling, held in …, 2005 | 10 | 2005 |
| A Framework for Machine Learning in Digital-Based Tuberculosis Treatment JA Killian, B Wilder, A Sharma, V Choudhary, D Shah, B Dilkina, M Tambe | | |
| A general large neighborhood search framework for solving integer linear programs J Song, Y Yue, B Dilkina Advances in Neural Information Processing Systems 33, 20012-20023, 2020 | 56 | 2020 |
| A general large neighborhood search framework for solving integer programs J Song, R Lanka, Y Yue, B Dilkina Annual Conference on Neural Information Processing Systems (NeurIPS), 2020 | 9 | 2020 |
| A hybrid schema for systematic local search WS Havens, BN Dilkina Advances in Artificial Intelligence: 17th Conference of the Canadian Society …, 2004 | 20 | 2004 |
| A machine learning approach to modeling human migration C Robinson, B Dilkina Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018 | 82 | 2018 |
| A machine learning framework to estimate residential electricity demand based on smart meter electricity, climate, building characteristics, and socioeconomic datasets MK Peplinski, B Dilkina, M Chen, SJ Silva, GA Ban-Weiss, KT Sanders Applied Energy 357, 122413, 2024 | 2 | 2024 |
| Accounting for institutional structure in spatial conservation planning PR Armsworth, A Benefield, B Dilkina, JE Fargione, M Fisher, R Fovargue, ... 2019 ESA Annual Meeting (August 11--16), 2019 | | 2019 |
| Achieving full connectivity of sites in the multiperiod reserve network design problem N Jafari, BL Nuse, CT Moore, B Dilkina, J Hepinstall-Cymerman Computers & Operations Research 81, 119-127, 2017 | 35 | 2017 |
| Active learning in multi-objective evolutionary algorithms for sustainable building design S Safarzadegan Gilan, N Goyal, B Dilkina Proceedings of the Genetic and Evolutionary Computation Conference 2016, 589-596, 2016 | 17 | 2016 |
| Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search T Phan, T Huang, B Dilkina, S Koenig Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17514 …, 2024 | 2 | 2024 |
| Advancing interdisciplinary science for disrupting wildlife trafficking networks ML Gore, E Griffin, B Dilkina, A Ferber, SE Griffis, BB Keskin, J Macdonald Proceedings of the National Academy of Sciences 120 (10), e2208268120, 2023 | 5 | 2023 |
| Adversary models account for imperfect crime data: Forecasting and planning against real-world poachers S Gholami, S Mc Carthy, B Dilkina, A Plumptre, M Tambe, M Driciru, ... International Conference on Autonomous Agents and Multiagent Systems, 2018 | 39 | 2018 |
| Agile satellite scheduling via permutation search with constraint propagation B Dilkina, B Havens Actenum Corporation: Vancouver Canada, 1-20, 2005 | 46 | 2005 |
| AI for Conservation Planning and Fighting Wildlife Poaching B Dilkina 2020 Annual Meeting, 2020 | | 2020 |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google Research在 harvard.edu 的电子邮件经过验证
