Tanya Y. Berger-Wolf

Orcid: 0000-0001-7610-1412

Affiliations:
  • University of Illinois at Chicago, Department of Computer Science, IL, USA


According to our database1, Tanya Y. Berger-Wolf authored at least 110 papers between 1999 and 2024.

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Bibliography

2024
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.
CoRR, 2024

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023
Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives.
Algorithmica, May, 2023

BIOCLIP: A Vision Foundation Model for the Tree of Life.
CoRR, 2023

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.
CoRR, 2023

Reflections from the Workshop on AI-Assisted Decision Making for Conservation.
CoRR, 2023

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Framework for Autonomic Computing for In Situ Imageomics.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022
Modeling Access Differences to Reduce Disparity in Resource Allocation.
Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis.
ACM Trans. Knowl. Discov. Data, 2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.
CoRR, 2021

Fairness-aware Summarization for Justified Decision-Making.
CoRR, 2021

The Animal ID Problem: Continual Curation.
CoRR, 2021

Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research.
CoRR, 2021

Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020
Framework for Inferring Following Strategies from Time Series of Movement Data.
ACM Trans. Knowl. Discov. Data, 2020

Report on the 2nd ACM SIGIR/SIGKDD Africa school on machine learning for data mining and search.
SIGIR Forum, 2020

Ethogram-based automatic wild animal monitoring through inertial sensors and GPS data.
Ecol. Informatics, 2020

Maximizing coverage while ensuring fairness: a tale of conflicting objective.
CoRR, 2020

Privacy Shadow: Measuring Node Predictability and Privacy Over Time.
CoRR, 2020

Inferring Network Structure From Data.
CoRR, 2020

Data-Driven Collaborative Intelligent System for Automatic Activities Monitoring of Wild Animals.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

2019
Traits of Leaders in Movement Initiation: Classification and Identification.
Proceedings of the Influence and Behavior Analysis in Social Networks and Social Media, 2019

Mining and modeling complex leadership-followership dynamics of movement data.
Soc. Netw. Anal. Min., 2019

Inferring Coordination Strategies from Time Series of Movement Data.
CoRR, 2019

Animal Wildlife Population Estimation Using Social Media Images Collections.
CoRR, 2019

A Framework For Identifying Group Behavior Of Wild Animals.
CoRR, 2019

Sequence-to-sequence modeling for graph representation learning.
Appl. Netw. Sci., 2019

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Bringing the Field into the Lab: Large-Scale Visualization of Animal Movement Trajectories within a Virtual Island.
Proceedings of the 9th IEEE Symposium on Large Data Analysis and Visualization, 2019

Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild".
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Variable-Lag Granger Causality for Time Series Analysis.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

Predictive temporal embedding of dynamic graphs.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Coordination Event Detection and Initiator Identification in Time Series Data.
ACM Trans. Knowl. Discov. Data, 2018

Network Structure Inference, A Survey: Motivations, Methods, and Applications.
ACM Comput. Surv., 2018

Network Model Selection Using Task-Focused Minimum Description Length.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

An Animal Detection Pipeline for Identification.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

A Biology-themed Introductory CS Course at a Large, Diverse Public University.
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

Framework for Inferring Leadership Dynamics of Complex Movement from Time Series.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Automating Lung Cancer Identification in PET/CT Imaging.
Proceedings of the 4th IEEE International Forum on Research and Technology for Society and Industry, 2018

A Game-Theoretic Adversarial Approach to Dynamic Network Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Mining and Modeling Complex Leadership Dynamics of Movement data.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Wildbook: Crowdsourcing, computer vision, and data science for conservation.
CoRR, 2017

Evaluating Social Networks Using Task-Focused Network Inference.
CoRR, 2017

A General Framework For Task-Oriented Network Inference.
CoRR, 2017

Network Model Selection for Task-Focused Attributed Network Inference.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

GPU-based computation for brain spatio-temporal networks definition.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Interactive visualization for brain spatio-temporal networks.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Identifying Traits of Leaders in Movement Initiation.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Animal Population Censusing at Scale with Citizen Science and Photographic Identification.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Optimization techniques for sparse matrix-vector multiplication on GPUs.
J. Parallel Distributed Comput., 2016

FLICA: A Framework for Leader Identification in Coordinated Activity.
CoRR, 2016

Adversarial Sequence Tagging.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networks.
Proceedings of the Human Vision and Electronic Imaging, 2016

2015
Column-Generation Framework of Nonlinear Similarity Model for Reconstructing Sibling Groups.
INFORMS J. Comput., 2015

Visualizing Dynamic Brain Networks Using an Animated Dual-Representation.
Proceedings of the 17th Eurographics Conference on Visualization, 2015

Data Driven Science: SIGKDD Panel.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Expansion and decentralized search in complex networks.
Knowl. Inf. Syst., 2014

CoAdELL: Adaptivity and Compression for Improving Sparse Matrix-Vector Multiplication on GPUs.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Guest editors' foreword: special section on local pattern mining in graph-structured data.
Ann. Math. Artif. Intell., 2013

HotSpotter - Patterned species instance recognition.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Computational Behavioral Ecology.
Proceedings of the Bioinformatics Research and Applications, 9th International Symposium, 2013

GPU-Based Steady-State Solution of the Chemical Master Equation.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

AdELL: An Adaptive Warp-Balancing ELL Format for Efficient Sparse Matrix-Vector Multiplication on GPUs.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

An Architecture-Aware Technique for Optimizing Sparse Matrix-Vector Multiplication on GPUs.
Proceedings of the International Conference on Computational Science, 2013

2012
A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes.
J. Parallel Distributed Comput., 2012

Capacitated clustering problem in computational biology: Combinatorial and statistical approach for sibling reconstruction.
Comput. Oper. Res., 2012

Invited: Computational behavioral ecology.
Proceedings of the IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences, 2012

An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Visualizing the Evolution of Community Structures in Dynamic Social Networks.
Comput. Graph. Forum, 2011

Biometric animal databases from field photographs: identification of individual zebra in the wild.
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Benefits of bias: towards better characterization of network sampling.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Finding Communities in Dynamic Social Networks.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Working for Influence: Effect of Network Density and Modularity on Diffusion in Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Temporal Scale of Processes in Dynamic Networks.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Periodic subgraph mining in dynamic networks.
Knowl. Inf. Syst., 2010

Combinatorial Reconstruction of Half-Sibling Groups from Microsatellite Data.
J. Bioinform. Comput. Biol., 2010

New Optimization Model and Algorithm for Sibling Reconstruction from Genetic Markers.
INFORMS J. Comput., 2010

An Implicit Cover Problem in wild Population Study.
Discret. Math. Algorithms Appl., 2010

Sampling community structure.
Proceedings of the 19th International Conference on World Wide Web, 2010

Discovering Kinship through Small Subsets.
Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010

Session Introduction.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

Finding Structure in Dynamic Networks (and What It Means for Zebras).
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

Online Sampling of High Centrality Individuals in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Meaningful selection of temporal resolution for dynamic networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Efficient and scalable parallel reconstruction of sibling relationships from genetic data in wild populations.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Expansion and search in networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Dynamic Community Identification.
Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009
On approximating four covering and packing problems.
J. Comput. Syst. Sci., 2009

Session Introduction.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Constant-factor approximation algorithms for identifying dynamic communities.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Inferring the Maximum Likelihood Hierarchy in Social Networks.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

On Approximating an Implicit Cover Problem in Biology.
Proceedings of the Algorithmic Aspects in Information and Management, 2009

2008
Finding Spread Blockers in Dynamic Networks.
Proceedings of the Advances in Social Network Mining and Analysis, 2008

The Impact of Structural Changes on Predictions of Diffusion in Networks.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Mining Periodic Behavior in Dynamic Social Networks.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Set covering approach for reconstruction of sibling relationships.
Optim. Methods Softw., 2007

A framework for community identification in dynamic social networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Reconstructing sibling relationships in wild populations.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Structure Prediction in Temporal Networks using Frequent Subgraphs.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
A framework for analysis of dynamic social networks.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Discrete sensor placement problems in distribution networks.
Math. Comput. Model., 2005

2004
Online Consensus and Agreement of Phylogenetic Trees.
Proceedings of the Algorithms in Bioinformatics, 4th International Workshop, 2004

2003
Sharp Bounds for Bandwidth of Clique Products
CoRR, 2003

2002
Multichannel Communication and Graph Vertex Labeling Problems
PhD thesis, 2002

Index assignment for multichannel communication under failure.
IEEE Trans. Inf. Theory, 2002

1999
Optimal Multichannel Communication Under Failure.
Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms, 1999


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