Search Results for author: Tanya Berger-Wolf

Found 10 papers, 5 papers with code

Fairness-aware Summarization for Justified Decision-Making

no code implementations13 Jul 2021 Moniba Keymanesh, Tanya Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy

In other words, decision-relevant features should provide sufficient information for the predicted outcome and should be independent of the membership of individuals in protected groups such as race and gender.

Data Poisoning Decision Making +1

Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions

1 code implementation4 Jun 2021 Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Berger-Wolf, Elena Zheleva

Cannabis legalization has been welcomed by many U. S. states but its role in escalation from tobacco e-cigarette use to cannabis vaping is unclear.

Stance Detection Weakly-supervised Learning

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models

1 code implementation19 Mar 2021 Aynaz Taheri, Kevin Gimpel, Tanya Berger-Wolf

Recently, a few studies have focused on learning temporal information in addition to the topology of a graph.

Graph Classification Graph Representation Learning

Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis

2 code implementations1 Feb 2020 Chainarong Amornbunchornvej, Elena Zheleva, Tanya Berger-Wolf

We demonstrate our approaches on an application for studying coordinated collective behavior and other real-world casual-inference datasets and show that our proposed approaches perform better than several existing methods in both simulated and real-world datasets.

Causal Inference Dynamic Time Warping +2

Framework for Inferring Following Strategies from Time Series of Movement Data

1 code implementation4 Nov 2019 Chainarong Amornbunchornvej, Tanya Berger-Wolf

Given a set of time series that includes coordinated movement and a set of candidate strategies as inputs, we provide the first methodology (to the best of our knowledge) to infer whether each individual uses local-agreement-system or dictatorship-like strategy to achieve movement coordination at the group level.

Leadership Inference Model Selection +1

Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild"

1 code implementation ICCV 2019 Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, Michael J. Black

In contrast to research on human pose, shape and texture estimation, training data for endangered species is limited, the animals are in complex natural scenes with occlusion, they are naturally camouflaged, travel in herds, and look similar to each other.

Pose Estimation Texture Synthesis

Animal Wildlife Population Estimation Using Social Media Images Collections

no code implementations5 Aug 2019 Matteo Foglio, Lorenzo Semeria, Guido Muscioni, Riccardo Pressiani, Tanya Berger-Wolf

Social media is the rich source of wildlife images, which come with a huge bias, thus thwarting traditional population size estimate approaches.

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