A framework for community identification in dynamic social networks C Tantipathananandh, T Berger-Wolf, D Kempe Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 662 | 2007 |
A framework for analysis of dynamic social networks TY Berger-Wolf, J Saia Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 390 | 2006 |
Perspectives in machine learning for wildlife conservation D Tuia, B Kellenberger, S Beery, BR Costelloe, S Zuffi, B Risse, A Mathis, ... Nature communications 13 (1), 1-15, 2022 | 352 | 2022 |
Sampling community structure AS Maiya, TY Berger-Wolf Proceedings of the 19th international conference on World wide web, 701-710, 2010 | 231 | 2010 |
Hotspotter—patterned species instance recognition JP Crall, CV Stewart, TY Berger-Wolf, DI Rubenstein, SR Sundaresan 2013 IEEE workshop on applications of computer vision (WACV), 230-237, 2013 | 199 | 2013 |
Network structure inference, a survey: Motivations, methods, and applications I Brugere, B Gallagher, TY Berger-Wolf ACM Computing Surveys (CSUR) 51 (2), 1-39, 2018 | 159 | 2018 |
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images" In the Wild" S Zuffi, A Kanazawa, T Berger-Wolf, MJ Black Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 154 | 2019 |
Mining periodic behavior in dynamic social networks M Lahiri, TY Berger-Wolf 2008 Eighth IEEE International Conference on Data Mining, 373-382, 2008 | 150 | 2008 |
Benefits of bias: Towards better characterization of network sampling AS Maiya, TY Berger-Wolf Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 143 | 2011 |
Biometric animal databases from field photographs: identification of individual zebra in the wild M Lahiri, C Tantipathananandh, R Warungu, DI Rubenstein, ... Proceedings of the 1st ACM international conference on multimedia retrieval, 1-8, 2011 | 130 | 2011 |
Meaningful selection of temporal resolution for dynamic networks R Sulo, T Berger-Wolf, R Grossman Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 127-136, 2010 | 118 | 2010 |
Finding spread blockers in dynamic networks Habiba, Y Yu, TY Berger-Wolf, J Saia Advances in Social Network Mining and Analysis: Second International …, 2010 | 118 | 2010 |
Visualizing the evolution of community structures in dynamic social networks K Reda, C Tantipathananandh, A Johnson, J Leigh, T Berger‐Wolf Computer Graphics Forum 30 (3), 1061-1070, 2011 | 113 | 2011 |
Finding communities in dynamic social networks C Tantipathananandh, TY Berger-Wolf 2011 IEEE 11th international conference on data mining, 1236-1241, 2011 | 106 | 2011 |
Structure prediction in temporal networks using frequent subgraphs M Lahiri, TY Berger-Wolf 2007 IEEE Symposium on computational intelligence and data mining, 35-42, 2007 | 104 | 2007 |
An animal detection pipeline for identification J Parham, C Stewart, J Crall, D Rubenstein, J Holmberg, T Berger-Wolf 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1075-1083, 2018 | 101 | 2018 |
Aggression, grooming and group‐level cooperation in white‐faced capuchins (Cebus capucinus): insights from social networks MC Crofoot, DI Rubenstein, AS Maiya, TY Berger‐Wolf American Journal of Primatology 73 (8), 821-833, 2011 | 94 | 2011 |
Learning to represent the evolution of dynamic graphs with recurrent models A Taheri, K Gimpel, T Berger-Wolf Companion proceedings of the 2019 world wide web conference, 301-307, 2019 | 92 | 2019 |
Reconstructing sibling relationships in wild populations TY Berger-Wolf, SI Sheikh, B DasGupta, MV Ashley, IC Caballero, ... Bioinformatics 23 (13), i49-i56, 2007 | 90 | 2007 |
Wildbook: Crowdsourcing, computer vision, and data science for conservation TY Berger-Wolf, DI Rubenstein, CV Stewart, JA Holmberg, J Parham, ... arXiv preprint arXiv:1710.08880, 2017 | 86 | 2017 |