Tanya Y. Berger-Wolf

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 70

Top Venues

CoRR

ACM Trans. Knowl. Discov. Data

KDD

ASONAM

Publications

Kenya Andrews, Mesrob Ohannessian, Tanya Y. Berger-Wolf
Modeling Access Differences to Reduce Disparity in Resource Allocation. CoRR (2024)
Tanya Y. Berger-Wolf
AI for Nature: From Science to Impact. KDD (2024)
Jenna Kline, Maksim Kholiavchenko, Otto Brookes, Tanya Y. Berger-Wolf, Charles V. Stewart, Christopher Stewart
Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs). CoRR (2024)
Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR (2024)
Isla Duporge, Maksim Kholiavchenko, Roi Harel, Scott Wolf, Daniel I. Rubenstein, Meg Crofoot, Tanya Y. Berger-Wolf, Stephen Lee, Julie Barreau, Jenna Kline, Michelle Ramirez, Charles V. Stewart
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. CoRR (2024)
Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Samuel Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart
KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos. WACV (Workshops) (2024)
Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. ICLR (2024)
Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS (2023)
Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. KDD (2023)
Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. CoRR (2023)
Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. CoRR (2023)
Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su
BIOCLIP: A Vision Foundation Model for the Tree of Life. CoRR (2023)
Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR (2023)
Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth Campolongo, Matthew Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko
A Framework for Autonomic Computing for In Situ Imageomics. ACSOS (2023)
Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR (2023)
Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos
Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives. Algorithmica 85 (5) (2023)
Kenya Andrews, Mesrob Ohannessian, Tanya Y. Berger-Wolf
Modeling Access Differences to Reduce Disparity in Resource Allocation. EAAMO (2022)
Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf
Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. CoRR (2021)
Lea A. Shanley, Lucy Fortson, Tanya Y. Berger-Wolf, Kevin Crowston, Pietro Michelucci
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. CoRR (2021)
Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Y. Berger-Wolf, Elena Zheleva
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions. ICWSM (2021)
Shishir Adhikari, Akshay Uppal, Robin Mermelstein, Tanya Y. Berger-Wolf, Elena Zheleva
Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions. CoRR (2021)
Moniba Keymanesh, Tanya Y. Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy
Fairness-aware Summarization for Justified Decision-Making. CoRR (2021)
Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Y. Berger-Wolf
Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR (2021)
Charles V. Stewart, Jason Remington Parham, Jason Holmberg, Tanya Y. Berger-Wolf
The Animal ID Problem: Continual Curation. CoRR (2021)
Tanya Y. Berger-Wolf, Ben Carterette, Tamer Elsayed, C. Maria Keet, Fabrizio Sebastiani, Hussein Suleman
Report on the 2nd ACM SIGIR/SIGKDD Africa school on machine learning for data mining and search. SIGIR Forum 54 (1) (2020)
Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf
Mining and modeling complex leadership-followership dynamics of movement data. CoRR (2020)
Jessica Leoni, Mara Tanelli, Silvia Carla Strada, Tanya Y. Berger-Wolf
Data-Driven Collaborative Intelligent System for Automatic Activities Monitoring of Wild Animals. ICHMS (2020)
Ivan Brugere, Tanya Y. Berger-Wolf
Privacy Shadow: Measuring Node Predictability and Privacy Over Time. CoRR (2020)
Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf
Framework for Inferring Following Strategies from Time Series of Movement Data. ACM Trans. Knowl. Discov. Data 14 (3) (2020)
Ivan Brugere, Tanya Y. Berger-Wolf
Inferring Network Structure From Data. CoRR (2020)
Jessica Leoni, Mara Tanelli, Silvia Carla Strada, Tanya Y. Berger-Wolf
Ethogram-based automatic wild animal monitoring through inertial sensors and GPS data. Ecol. Informatics 59 (2020)
Abolfazl Asudeh, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Anastasios Sidiropoulos
Maximizing coverage while ensuring fairness: a tale of conflicting objective. CoRR (2020)
Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. CoRR (2020)
Jillian Aurisano, James Hwang, Andrew E. Johnson, Lance Long, Margaret Crofoot, Tanya Y. Berger-Wolf
Bringing the Field into the Lab: Large-Scale Visualization of Animal Movement Trajectories within a Virtual Island. LDAV (2019)
Aynaz Taheri, Tanya Y. Berger-Wolf
Predictive temporal embedding of dynamic graphs. ASONAM (2019)
Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images "In the Wild". CoRR (2019)
Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf
Mining and modeling complex leadership-followership dynamics of movement data. Soc. Netw. Anal. Min. 9 (1) (2019)
Guido Muscioni, Riccardo Pressiani, Matteo Foglio, Margaret C. Crofoot, Marco D. Santambrogio, Tanya Y. Berger-Wolf
A Framework For Identifying Group Behavior Of Wild Animals. CoRR (2019)
Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf
Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models. WWW (Companion Volume) (2019)
Silvia Zuffi, Angjoo Kanazawa, Tanya Y. Berger-Wolf, Michael J. Black
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild". ICCV (2019)
Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf
Variable-Lag Granger Causality for Time Series Analysis. DSAA (2019)
Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf
Sequence-to-sequence modeling for graph representation learning. Appl. Netw. Sci. 4 (1) (2019)
Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf
Inferring Coordination Strategies from Time Series of Movement Data. CoRR (2019)
Matteo Foglio, Lorenzo Semeria, Guido Muscioni, Riccardo Pressiani, Tanya Y. Berger-Wolf
Animal Wildlife Population Estimation Using Social Media Images Collections. CoRR (2019)
Chainarong Amornbunchornvej, Elena Zheleva, Tanya Y. Berger-Wolf
Variable-lag Granger Causality for Time Series Analysis. CoRR (2019)
Tanya Y. Berger-Wolf, Boris Igic, Cynthia Bagier Taylor, Robert H. Sloan, Rachel Poretsky
A Biology-themed Introductory CS Course at a Large, Diverse Public University. SIGCSE (2018)
Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf
Mining and Modeling Complex Leadership Dynamics of Movement data. ASONAM (2018)
Jia Li, Brian D. Ziebart, Tanya Y. Berger-Wolf
A Game-Theoretic Adversarial Approach to Dynamic Network Prediction. PAKDD (3) (2018)
Jason Parham, Charles V. Stewart, Jonathan P. Crall, Daniel I. Rubenstein, Jason Holmberg, Tanya Y. Berger-Wolf
An Animal Detection Pipeline for Identification. WACV (2018)
Ivan Brugere, Tanya Y. Berger-Wolf
Network Model Selection Using Task-Focused Minimum Description Length. WWW (Companion Volume) (2018)
Chainarong Amornbunchornvej, Tanya Y. Berger-Wolf
Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. SDM (2018)
Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf
Network Structure Inference, A Survey: Motivations, Methods, and Applications. ACM Comput. Surv. 51 (2) (2018)
Eleonora D'Arnese, Emanuele Del Sozzo, A. Chiti, Tanya Y. Berger-Wolf, Marco D. Santambrogio
Automating Lung Cancer Identification in PET/CT Imaging. RTSI (2018)
Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf
Coordination Event Detection and Initiator Identification in Time Series Data. ACM Trans. Knowl. Discov. Data 12 (5) (2018)
Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf
Evaluating Social Networks Using Task-Focused Network Inference. CoRR (2017)
Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf
A General Framework For Task-Oriented Network Inference. CoRR (2017)
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Sreejith Menon, Jonathan P. Crall, Jon Van Oast, Emre Kiciman, Lucas Joppa
Wildbook: Crowdsourcing, computer vision, and data science for conservation. CoRR (2017)
Jason Remington Parham, Jonathan P. Crall, Charles V. Stewart, Tanya Y. Berger-Wolf, Daniel I. Rubenstein
Animal Population Censusing at Scale with Citizen Science and Photographic Identification. AAAI Spring Symposia (2017)
Chainarong Amornbunchornvej, Margaret C. Crofoot, Tanya Y. Berger-Wolf
Identifying Traits of Leaders in Movement Initiation. ASONAM (2017)
Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf
Network Model Selection for Task-Focused Attributed Network Inference. CoRR (2017)
Andrea Purgato, Enrico Reggiani, Eleonora D'Arnese, Tanya Y. Berger-Wolf, Marco Grimaldi, Gianluca Durelli, Marco D. Santambrogio
GPU-based computation for brain spatio-temporal networks definition. EMBC (2017)
Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf
Network Model Selection for Task-Focused Attributed Network Inference. ICDM Workshops (2017)
Ivan Brugere, Tanya Y. Berger-Wolf
Network Model Selection Using Task-Focused Minimum Description Length. CoRR (2017)
Andrea Purgato, Marco D. Santambrogio, Tanya Y. Berger-Wolf, Angus Graeme Forbes
Interactive visualization for brain spatio-temporal networks. BHI (2017)
Jia Li, Kaiser Asif, Hong Wang, Brian D. Ziebart, Tanya Y. Berger-Wolf
Adversarial Sequence Tagging. IJCAI (2016)
Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf
Network Structure Inference, A Survey: Motivations, Methods, and Applications. CoRR (2016)
Chainarong Amornbunchornvej, Ivan Brugere, Ariana Strandburg-Peshkin, Damien Farine, Margaret C. Crofoot, Tanya Y. Berger-Wolf
FLICA: A Framework for Leader Identification in Coordinated Activity. CoRR (2016)
Marco Maggioni, Tanya Y. Berger-Wolf
Optimization techniques for sparse matrix-vector multiplication on GPUs. J. Parallel Distributed Comput. (2016)
Chihua Ma, Angus Graeme Forbes, Daniel A. Llano, Tanya Y. Berger-Wolf, Robert V. Kenyon
SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networks. HVEI (2016)
Katharina Morik, Hugh F. Durrant-Whyte, Gary C. Hill, Dietmar Müller, Tanya Y. Berger-Wolf
Data Driven Science: SIGKDD Panel. KDD (2015)
Chun-An Chou, Zhe Liang, Wanpracha Art Chaovalitwongse, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Saad I. Sheikh, Mary V. Ashley, Isabel C. Caballero
Column-Generation Framework of Nonlinear Similarity Model for Reconstructing Sibling Groups. INFORMS J. Comput. 27 (1) (2015)
Chihua Ma, Robert V. Kenyon, Angus Graeme Forbes, Tanya Y. Berger-Wolf, Bernard J. Slater, Daniel A. Llano
Visualizing Dynamic Brain Networks Using an Animated Dual-Representation. EuroVis (Short Papers) (2015)
Arun S. Maiya, Tanya Y. Berger-Wolf
Expansion and decentralized search in complex networks. Knowl. Inf. Syst. 38 (2) (2014)
Marco Maggioni, Tanya Y. Berger-Wolf
CoAdELL: Adaptivity and Compression for Improving Sparse Matrix-Vector Multiplication on GPUs. IPDPS Workshops (2014)
Fatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf
Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm. IEEE Congress on Evolutionary Computation (2014)
Fatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf
Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site. GECCO (2014)
Marco Maggioni, Tanya Y. Berger-Wolf, Jie Liang
GPU-Based Steady-State Solution of the Chemical Master Equation. IPDPS Workshops (2013)
Tanya Y. Berger-Wolf, Tamás Horváth
Guest editors' foreword: special section on local pattern mining in graph-structured data. Ann. Math. Artif. Intell. 69 (4) (2013)
Marco Maggioni, Tanya Y. Berger-Wolf
AdELL: An Adaptive Warp-Balancing ELL Format for Efficient Sparse Matrix-Vector Multiplication on GPUs. ICPP (2013)
Tanya Y. Berger-Wolf
Computational Behavioral Ecology. ISBRA (2013)
Jonathan P. Crall, Charles V. Stewart, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Siva R. Sundaresan
HotSpotter - Patterned species instance recognition. WACV (2013)
Marco Maggioni, Tanya Y. Berger-Wolf
An Architecture-Aware Technique for Optimizing Sparse Matrix-Vector Multiplication on GPUs. ICCS (2013)
Chun-An Chou, Wanpracha Art Chaovalitwongse, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Mary V. Ashley
Capacitated clustering problem in computational biology: Combinatorial and statistical approach for sibling reconstruction. Comput. Oper. Res. 39 (3) (2012)
Daehan Won, Chun-An Chou, Wanpracha Art Chaovalitwongse, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Ashfaq A. Khokhar, Marco Maggioni, Saad I. Sheikh, Mary V. Ashley, Jason Palagi
An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples. BCB (2012)
Tanya Y. Berger-Wolf
Invited: Computational behavioral ecology. ICCABS (2012)
Fahad Saeed, Alan Perez-Rathke, Jaroslaw Gwarnicki, Tanya Y. Berger-Wolf, Ashfaq A. Khokhar
A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes. J. Parallel Distributed Comput. 72 (1) (2012)
Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman
Temporal Scale of Processes in Dynamic Networks. ICDM Workshops (2011)
Arun S. Maiya, Tanya Y. Berger-Wolf
Benefits of Bias: Towards Better Characterization of Network Sampling CoRR (2011)
Khairi Reda, Chayant Tantipathananandh, Andrew E. Johnson, Jason Leigh, Tanya Y. Berger-Wolf
Visualizing the Evolution of Community Structures in Dynamic Social Networks. Comput. Graph. Forum 30 (3) (2011)
Arun S. Maiya, Tanya Y. Berger-Wolf
Benefits of bias: towards better characterization of network sampling. KDD (2011)
Mary V. Ashley, Tanya Y. Berger-Wolf, Piotr Berman, Wanpracha Art Chaovalitwongse, Bhaskar DasGupta, Ming-Yang Kao
On Approximating Four Covering and Packing Problems CoRR (2011)
Mary V. Ashley, Tanya Y. Berger-Wolf, Wanpracha Art Chaovalitwongse, Bhaskar DasGupta, Ashfaq A. Khokhar, Saad I. Sheikh
An Implicit Cover Problem in Wild Population Study CoRR (2011)
Mayank Lahiri, Chayant Tantipathananandh, Rosemary Warungu, Daniel I. Rubenstein, Tanya Y. Berger-Wolf
Biometric animal databases from field photographs: identification of individual zebra in the wild. ICMR (2011)
Habiba, Tanya Y. Berger-Wolf
Working for Influence: Effect of Network Density and Modularity on Diffusion in Networks. ICDM Workshops (2011)
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
Finding Communities in Dynamic Social Networks. ICDM (2011)
Rajmonda Sulo Caceres, Tanya Y. Berger-Wolf, Robert Grossman
Meaningful selection of temporal resolution for dynamic networks. MLG@KDD (2010)
Wanpracha Art Chaovalitwongse, Chun-An Chou, Tanya Y. Berger-Wolf, Bhaskar DasGupta, Saad I. Sheikh, Mary V. Ashley, Isabel C. Caballero
New Optimization Model and Algorithm for Sibling Reconstruction from Genetic Markers. INFORMS J. Comput. 22 (2) (2010)
Arun S. Maiya, Tanya Y. Berger-Wolf
Expansion and Search in Networks CoRR (2010)
Arun S. Maiya, Tanya Y. Berger-Wolf
Expansion and search in networks. CIKM (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tanya Y. Berger-Wolf