Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Berger-Wolf, Tanya Y."'
Hoping to stimulate new research in individual animal identification from images, we propose to formulate the problem as the human-machine Continual Curation of images and animal identities. This is an open world recognition problem, where most new a
Externí odkaz:
http://arxiv.org/abs/2106.10377
Publikováno v:
Social Network Analysis and Mining, 9, 58 (2019)
Leadership and followership are essential parts of collective decision and organization in social animals, including humans. In nature, relationships of leaders and followers are dynamic and vary with context or temporal factors. Understanding dynami
Externí odkaz:
http://arxiv.org/abs/2010.01587
Autor:
Brugere, Ivan, Berger-Wolf, Tanya y.
The structure of network data enables simple predictive models to leverage local correlations between nodes to high accuracy on tasks such as attribute and link prediction. While this is useful for building better user models, it introduces the priva
Externí odkaz:
http://arxiv.org/abs/2004.02047
Autor:
Brugere, Ivan, Berger-Wolf, Tanya Y.
Networks are complex models for underlying data in many application domains. In most instances, raw data is not natively in the form of a network, but derived from sensors, logs, images, or other data. Yet, the impact of the various choices in transl
Externí odkaz:
http://arxiv.org/abs/2004.02046
Publikováno v:
Proceedings of 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Granger causality is a fundamental technique for causal inference in time series data, commonly used in the social and biological sciences. Typical operationalizations of Granger causality make a strong assumption that every time point of the effect
Externí odkaz:
http://arxiv.org/abs/1912.10829
Autor:
Berger-Wolf, Tanya Y., Rubenstein, Daniel I., Stewart, Charles V., Holmberg, Jason A., Parham, Jason, Menon, Sreejith, Crall, Jonathan, Van Oast, Jon, Kiciman, Emre, Joppa, Lucas
Photographs, taken by field scientists, tourists, automated cameras, and incidental photographers, are the most abundant source of data on wildlife today. Wildbook is an autonomous computational system that starts from massive collections of images a
Externí odkaz:
http://arxiv.org/abs/1710.08880
Autor:
Brugere, Ivan, Berger-Wolf, Tanya Y.
Networks are fundamental models for data used in practically every application domain. In most instances, several implicit or explicit choices about the network definition impact the translation of underlying data to a network representation, and the
Externí odkaz:
http://arxiv.org/abs/1710.05207
Networks are models representing relationships between entities. Often these relationships are explicitly given, or we must learn a representation which generalizes and predicts observed behavior in underlying individual data (e.g. attributes or labe
Externí odkaz:
http://arxiv.org/abs/1708.06303
Networks are representations of complex underlying social processes. However, the same given network may be more suitable to model one behavior of individuals than another. In many cases, aggregate population models may be more effective than modelin
Externí odkaz:
http://arxiv.org/abs/1707.02385
We present a brief introduction to a flexible, general network inference framework which models data as a network space, sampled to optimize network structure to a particular task. We introduce a formal problem statement related to influence maximiza
Externí odkaz:
http://arxiv.org/abs/1705.00645