Optimal Multichannel Communication Under Failure. - Tanya Y. Berger-Wolf; Edward M. Reingold (SODA, 1999)

Index assignment for multichannel communication under failure. - Tanya Y. Berger-Wolf; Edward M. Reingold (IEEE Trans. Inf. Theory, 2002)

Multichannel Communication and Graph Vertex Labeling Problems - Tanya Y. Berger-Wolf (2002)

Sharp Bounds for Bandwidth of Clique Products - Tanya Y. Berger-Wolf; Mitchell A. Harris (CoRR, 2003)

Online Consensus and Agreement of Phylogenetic Trees. - Tanya Y. Berger-Wolf (WABI, 2004)

Discrete sensor placement problems in distribution networks. - Tanya Y. Berger-Wolf; William E. Hart; Jared Saia (Math. Comput. Model., 2005)

A framework for analysis of dynamic social networks. - Tanya Y. Berger-Wolf; Jared Saia (KDD, 2006)

Structure Prediction in Temporal Networks using Frequent Subgraphs. - Mayank Lahiri; Tanya Y. Berger-Wolf (CIDM, 2007)

Reconstructing sibling relationships in wild populations. - Tanya Y. Berger-Wolf; Saad I. Sheikh; Bhaskar DasGupta; Mary V. Ashley; Isabel C. Caballero; Wanpracha Art Chaovalitwongse; Satya Lahari Putrevu (ISMB/ECCB (Supplement of Bioinformatics), 2007)

A framework for community identification in dynamic social networks. - Chayant Tantipathananandh; Tanya Y. Berger-Wolf; David Kempe 001 (KDD, 2007)

Set covering approach for reconstruction of sibling relationships. - W. Art Chaovalitwongse; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Mary V. Ashley (Optim. Methods Softw., 2007)

Mining Periodic Behavior in Dynamic Social Networks. - Mayank Lahiri; Tanya Y. Berger-Wolf (ICDM, 2008)

The Impact of Structural Changes on Predictions of Diffusion in Networks. - Mayank Lahiri; Arun S. Maiya; Rajmonda Sulo Caceres; Habiba; Tanya Y. Berger-Wolf (ICDM Workshops, 2008)

Finding Spread Blockers in Dynamic Networks. - Habiba; Yintao Yu; Tanya Y. Berger-Wolf; Jared Saia (SNAKDD, 2008)

On Approximating an Implicit Cover Problem in Biology. - Mary V. Ashley; Tanya Y. Berger-Wolf; Wanpracha Art Chaovalitwongse; Bhaskar DasGupta; Ashfaq A. Khokhar; Saad I. Sheikh (AAIM, 2009)

Inferring the Maximum Likelihood Hierarchy in Social Networks. - Arun S. Maiya; Tanya Y. Berger-Wolf (CSE (4), 2009)

Constant-factor approximation algorithms for identifying dynamic communities. - Chayant Tantipathananandh; Tanya Y. Berger-Wolf (KDD, 2009)

Session Introduction. - Tanya Y. Berger-Wolf; Teresa M. Przytycka; Mona Singh 001 (Pacific Symposium on Biocomputing, 2009)

On approximating four covering and packing problems. - Mary V. Ashley; Tanya Y. Berger-Wolf; Piotr Berman; Wanpracha Art Chaovalitwongse; Bhaskar DasGupta; Ming-Yang Kao (J. Comput. Syst. Sci., 2009)

Dynamic Community Identification. - Tanya Y. Berger-Wolf; Chayant Tantipathananandh; David Kempe 001 (Link Mining, 2010)

Expansion and search in networks. - Arun S. Maiya; Tanya Y. Berger-Wolf (CIKM, 2010)

Efficient and scalable parallel reconstruction of sibling relationships from genetic data in wild populations. - Saad I. Sheikh; Ashfaq A. Khokhar; Tanya Y. Berger-Wolf (IPDPS Workshops, 2010)

Meaningful selection of temporal resolution for dynamic networks. - Rajmonda Sulo Caceres; Tanya Y. Berger-Wolf; Robert Grossman (MLG@KDD, 2010)

Online Sampling of High Centrality Individuals in Social Networks. - Arun S. Maiya; Tanya Y. Berger-Wolf (PAKDD (1), 2010)

Finding Structure in Dynamic Networks (and What It Means for Zebras). - Tanya Y. Berger-Wolf (NyNaK, 2010)

Session Introduction. - Tanya Y. Berger-Wolf; Teresa M. Przytycka; Mona Singh 001; Donna K. Slonim (Pacific Symposium on Biocomputing, 2010)

Discovering Kinship through Small Subsets. - Daniel G. Brown 001; Tanya Y. Berger-Wolf (WABI, 2010)

Sampling community structure. - Arun S. Maiya; Tanya Y. Berger-Wolf (WWW, 2010)

An Implicit Cover Problem in wild Population Study. - Mary V. Ashley; Tanya Y. Berger-Wolf; Wanpracha Art Chaovalitwongse; Bhaskar DasGupta; Ashfaq A. Khokhar; Saad I. Sheikh (Discret. Math. Algorithms Appl., 2010)

New Optimization Model and Algorithm for Sibling Reconstruction from Genetic Markers. - Wanpracha Art Chaovalitwongse; Chun-An Chou; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Saad I. Sheikh; Mary V. Ashley; Isabel C. Caballero (INFORMS J. Comput., 2010)

Combinatorial Reconstruction of Half-Sibling Groups from Microsatellite Data. - Saad I. Sheikh; Tanya Y. Berger-Wolf; Ashfaq A. Khokhar; Isabel C. Caballero; Mary V. Ashley; Wanpracha Art Chaovalitwongse; Chun-An Chou; Bhaskar DasGupta (J. Bioinform. Comput. Biol., 2010)

Periodic subgraph mining in dynamic networks. - Mayank Lahiri; Tanya Y. Berger-Wolf (Knowl. Inf. Syst., 2010)

Temporal Scale of Processes in Dynamic Networks. - Rajmonda Sulo Caceres; Tanya Y. Berger-Wolf; Robert Grossman (ICDM Workshops, 2011)

Working for Influence: Effect of Network Density and Modularity on Diffusion in Networks. - Habiba; Tanya Y. Berger-Wolf (ICDM Workshops, 2011)

Finding Communities in Dynamic Social Networks. - Chayant Tantipathananandh; Tanya Y. Berger-Wolf (ICDM, 2011)

Benefits of bias: towards better characterization of network sampling. - Arun S. Maiya; Tanya Y. Berger-Wolf (KDD, 2011)

Biometric animal databases from field photographs: identification of individual zebra in the wild. - Mayank Lahiri; Chayant Tantipathananandh; Rosemary Warungu; Daniel I. Rubenstein; Tanya Y. Berger-Wolf (ICMR, 2011)

Visualizing the Evolution of Community Structures in Dynamic Social Networks. - Khairi Reda; Chayant Tantipathananandh; Andrew E. Johnson 001; Jason Leigh; Tanya Y. Berger-Wolf (Comput. Graph. Forum, 2011)

An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples. - 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 (BCB, 2012)

Invited: Computational behavioral ecology. - Tanya Y. Berger-Wolf (ICCABS, 2012)

Capacitated clustering problem in computational biology: Combinatorial and statistical approach for sibling reconstruction. - Chun-An Chou; Wanpracha Art Chaovalitwongse; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Mary V. Ashley (Comput. Oper. Res., 2012)

A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes. - Fahad Saeed; Alan Perez-Rathke; Jaroslaw Gwarnicki; Tanya Y. Berger-Wolf; Ashfaq A. Khokhar (J. Parallel Distributed Comput., 2012)

An Architecture-Aware Technique for Optimizing Sparse Matrix-Vector Multiplication on GPUs. - Marco Maggioni; Tanya Y. Berger-Wolf (ICCS, 2013)

AdELL: An Adaptive Warp-Balancing ELL Format for Efficient Sparse Matrix-Vector Multiplication on GPUs. - Marco Maggioni; Tanya Y. Berger-Wolf (ICPP, 2013)

GPU-Based Steady-State Solution of the Chemical Master Equation. - Marco Maggioni; Tanya Y. Berger-Wolf; Jie Liang 002 (IPDPS Workshops, 2013)

Computational Behavioral Ecology. - Tanya Y. Berger-Wolf (ISBRA, 2013)

HotSpotter - Patterned species instance recognition. - Jonathan P. Crall; Charles V. Stewart; Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Siva R. Sundaresan (WACV, 2013)

Guest editors' foreword: special section on local pattern mining in graph-structured data. - Tanya Y. Berger-Wolf; Tamás Horváth 001 (Ann. Math. Artif. Intell., 2013)

Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm. - Fatemeh Vafaee; György Turán; Peter C. Nelson; Tanya Y. Berger-Wolf (IEEE Congress on Evolutionary Computation, 2014)

Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site. - Fatemeh Vafaee; György Turán; Peter C. Nelson; Tanya Y. Berger-Wolf (GECCO, 2014)

CoAdELL: Adaptivity and Compression for Improving Sparse Matrix-Vector Multiplication on GPUs. - Marco Maggioni; Tanya Y. Berger-Wolf (IPDPS Workshops, 2014)

Expansion and decentralized search in complex networks. - Arun S. Maiya; Tanya Y. Berger-Wolf (Knowl. Inf. Syst., 2014)

Data Driven Science: SIGKDD Panel. - Katharina Morik; Hugh F. Durrant-Whyte; Gary C. Hill; Dietmar Müller 004; Tanya Y. Berger-Wolf (KDD, 2015)

Visualizing Dynamic Brain Networks Using an Animated Dual-Representation. - Chihua Ma; Robert V. Kenyon; Angus Graeme Forbes; Tanya Y. Berger-Wolf; Bernard J. Slater; Daniel A. Llano (EuroVis (Short Papers), 2015)

Column-Generation Framework of Nonlinear Similarity Model for Reconstructing Sibling Groups. - Chun-An Chou; Zhe Liang; Wanpracha Art Chaovalitwongse; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Saad I. Sheikh; Mary V. Ashley; Isabel C. Caballero (INFORMS J. Comput., 2015)

SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networks. - Chihua Ma; Angus Graeme Forbes; Daniel A. Llano; Tanya Y. Berger-Wolf; Robert V. Kenyon (HVEI, 2016)

Adversarial Sequence Tagging. - Jia Li 055; Kaiser Asif; Hong Wang; Brian D. Ziebart; Tanya Y. Berger-Wolf (IJCAI, 2016)

FLICA: A Framework for Leader Identification in Coordinated Activity. - Chainarong Amornbunchornvej; Ivan Brugere; Ariana Strandburg-Peshkin; Damien Farine; Margaret C. Crofoot; Tanya Y. Berger-Wolf (CoRR, 2016)

Optimization techniques for sparse matrix-vector multiplication on GPUs. - Marco Maggioni; Tanya Y. Berger-Wolf (J. Parallel Distributed Comput., 2016)

Animal Population Censusing at Scale with Citizen Science and Photographic Identification. - Jason Remington Parham; Jonathan P. Crall; Charles V. Stewart; Tanya Y. Berger-Wolf; Daniel I. Rubenstein (AAAI Spring Symposia, 2017)

Identifying Traits of Leaders in Movement Initiation. - Chainarong Amornbunchornvej; Margaret C. Crofoot; Tanya Y. Berger-Wolf (ASONAM, 2017)

Interactive visualization for brain spatio-temporal networks. - Andrea Purgato; Marco D. Santambrogio; Tanya Y. Berger-Wolf; Angus Graeme Forbes (BHI, 2017)

GPU-based computation for brain spatio-temporal networks definition. - Andrea Purgato; Enrico Reggiani; Eleonora D'Arnese; Tanya Y. Berger-Wolf; Marco Grimaldi; Gianluca Durelli; Marco D. Santambrogio (EMBC, 2017)

Network Model Selection for Task-Focused Attributed Network Inference. - Ivan Brugere; Chris Kanich; Tanya Y. Berger-Wolf (ICDM Workshops, 2017)

A General Framework For Task-Oriented Network Inference. - Ivan Brugere; Chris Kanich; Tanya Y. Berger-Wolf (CoRR, 2017)

Evaluating Social Networks Using Task-Focused Network Inference. - Ivan Brugere; Chris Kanich; Tanya Y. Berger-Wolf (CoRR, 2017)

Wildbook: Crowdsourcing, computer vision, and data science for conservation. - Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Jason A. Holmberg; Jason R. Parham; Sreejith Menon; Jonathan P. Crall; Jon Van Oast; Emre Kiciman; Lucas Joppa (CoRR, 2017)

Mining and Modeling Complex Leadership Dynamics of Movement data. - Chainarong Amornbunchornvej; Tanya Y. Berger-Wolf (ASONAM, 2018)

A Game-Theoretic Adversarial Approach to Dynamic Network Prediction. - Jia Li 055; Brian D. Ziebart; Tanya Y. Berger-Wolf (PAKDD (3), 2018)

Automating Lung Cancer Identification in PET/CT Imaging. - Eleonora D'Arnese; Emanuele Del Sozzo; Arturo Chiti; Tanya Y. Berger-Wolf; Marco D. Santambrogio (RTSI, 2018)

Framework for Inferring Leadership Dynamics of Complex Movement from Time Series. - Chainarong Amornbunchornvej; Tanya Y. Berger-Wolf (SDM, 2018)

A Biology-themed Introductory CS Course at a Large, Diverse Public University. - Tanya Y. Berger-Wolf; Boris Igic; Cynthia Bagier Taylor; Robert H. Sloan; Rachel Poretsky (SIGCSE, 2018)

An Animal Detection Pipeline for Identification. - Jason R. Parham; Charles V. Stewart; Jonathan P. Crall; Daniel I. Rubenstein; Jason Holmberg; Tanya Y. Berger-Wolf (WACV, 2018)

Network Model Selection Using Task-Focused Minimum Description Length. - Ivan Brugere; Tanya Y. Berger-Wolf (WWW (Companion Volume), 2018)

Network Structure Inference, A Survey: Motivations, Methods, and Applications. - Ivan Brugere; Brian Gallagher; Tanya Y. Berger-Wolf (ACM Comput. Surv., 2018)

Coordination Event Detection and Initiator Identification in Time Series Data. - Chainarong Amornbunchornvej; Ivan Brugere; Ariana Strandburg-Peshkin; Damien Farine; Margaret C. Crofoot; Tanya Y. Berger-Wolf (ACM Trans. Knowl. Discov. Data, 2018)

Predictive temporal embedding of dynamic graphs. - Aynaz Taheri; Tanya Y. Berger-Wolf (ASONAM, 2019)

Variable-Lag Granger Causality for Time Series Analysis. - Chainarong Amornbunchornvej; Elena Zheleva; Tanya Y. Berger-Wolf (DSAA, 2019)

Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild". - Silvia Zuffi; Angjoo Kanazawa; Tanya Y. Berger-Wolf; Michael J. Black (ICCV, 2019)

Bringing the Field into the Lab: Large-Scale Visualization of Animal Movement Trajectories within a Virtual Island. - Jillian Aurisano; James Hwang; Andrew E. Johnson 001; Lance Long; Margaret Crofoot; Tanya Y. Berger-Wolf (LDAV, 2019)

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models. - Aynaz Taheri; Kevin Gimpel; Tanya Y. Berger-Wolf (WWW (Companion Volume), 2019)

Sequence-to-sequence modeling for graph representation learning. - Aynaz Taheri; Kevin Gimpel; Tanya Y. Berger-Wolf (Appl. Netw. Sci., 2019)

A Framework For Identifying Group Behavior Of Wild Animals. - Guido Muscioni; Riccardo Pressiani; Matteo Foglio; Margaret C. Crofoot; Marco D. Santambrogio; Tanya Y. Berger-Wolf (CoRR, 2019)

Animal Wildlife Population Estimation Using Social Media Images Collections. - Matteo Foglio; Lorenzo Semeria; Guido Muscioni; Riccardo Pressiani; Tanya Y. Berger-Wolf (CoRR, 2019)

Inferring Coordination Strategies from Time Series of Movement Data. - Chainarong Amornbunchornvej; Tanya Y. Berger-Wolf (CoRR, 2019)

Mining and modeling complex leadership-followership dynamics of movement data. - Chainarong Amornbunchornvej; Tanya Y. Berger-Wolf (Soc. Netw. Anal. Min., 2019)

Traits of Leaders in Movement Initiation: Classification and Identification. - Chainarong Amornbunchornvej; Margaret C. Crofoot; Tanya Y. Berger-Wolf (Influence and Behavior Analysis in Social Networks and Social Media, 2019)

Data-Driven Collaborative Intelligent System for Automatic Activities Monitoring of Wild Animals. - Jessica Leoni; Mara Tanelli; Silvia Carla Strada; Tanya Y. Berger-Wolf (ICHMS, 2020)

Inferring Network Structure From Data. - Ivan Brugere; Tanya Y. Berger-Wolf (CoRR, 2020)

Privacy Shadow: Measuring Node Predictability and Privacy Over Time. - Ivan Brugere; Tanya Y. Berger-Wolf (CoRR, 2020)

Maximizing coverage while ensuring fairness: a tale of conflicting objective. - Abolfazl Asudeh; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Anastasios Sidiropoulos (CoRR, 2020)

Ethogram-based automatic wild animal monitoring through inertial sensors and GPS data. - Jessica Leoni; Mara Tanelli; Silvia Carla Strada; Tanya Y. Berger-Wolf (Ecol. Informatics, 2020)

Report on the 2nd ACM SIGIR/SIGKDD Africa school on machine learning for data mining and search. - Tanya Y. Berger-Wolf; Ben Carterette; Tamer Elsayed; C. Maria Keet; Fabrizio Sebastiani 001; Hussein Suleman (SIGIR Forum, 2020)

Framework for Inferring Following Strategies from Time Series of Movement Data. - Chainarong Amornbunchornvej; Tanya Y. Berger-Wolf (ACM Trans. Knowl. Discov. Data, 2020)

Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions. - Shishir Adhikari; Akshay Uppal; Robin Mermelstein; Tanya Y. Berger-Wolf; Elena Zheleva (ICWSM, 2021)

Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research. - Lea A. Shanley; Lucy Fortson; Tanya Y. Berger-Wolf; Kevin Crowston; Pietro Michelucci (CoRR, 2021)

The Animal ID Problem: Continual Curation. - Charles V. Stewart; Jason Remington Parham; Jason Holmberg; Tanya Y. Berger-Wolf (CoRR, 2021)

Fairness-aware Summarization for Justified Decision-Making. - Moniba Keymanesh; Tanya Y. Berger-Wolf; Micha Elsner; Srinivasan Parthasarathy 001 (CoRR, 2021)

Seeing biodiversity: perspectives in machine learning for wildlife conservation. - 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; et al. (CoRR, 2021)

Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis. - Chainarong Amornbunchornvej; Elena Zheleva; Tanya Y. Berger-Wolf (ACM Trans. Knowl. Discov. Data, 2021)

Modeling Access Differences to Reduce Disparity in Resource Allocation. - Kenya S. Andrews; Mesrob I. Ohannessian; Tanya Y. Berger-Wolf (EAAMO, 2022)

A Framework for Autonomic Computing for In Situ Imageomics. - Jenna Kline; Christopher Stewart; Tanya Y. Berger-Wolf; Michelle Ramirez; Samuel Stevens 001; Reshma Ramesh Babu; Namrata Banerji; Alec Sheets; Sowbaranika Balasubramaniam; Elizabeth G. Campolongo; Matthew Thompson; Charles V. Stewart; et al. (ACSOS, 2023)

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. - 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; et al. (KDD, 2023)

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. - Cheng-Hao Tu 001; Hong-You Chen; Zheda Mai; Jike Zhong; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 2023)

Reflections from the Workshop on AI-Assisted Decision Making for Conservation. - 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 001; Andrew Davies; Nikhil Garg; et al. (CoRR, 2023)

Maximizing Coverage While Ensuring Fairness: A Tale of Conflicting Objectives. - Abolfazl Asudeh; Tanya Y. Berger-Wolf; Bhaskar DasGupta; Anastasios Sidiropoulos (Algorithmica, 2023)

Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CIKM, 2024)

BioCLIP: A Vision Foundation Model for the Tree of Life. - Samuel Stevens 001; 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 001 (CVPR, 2024)

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. - Mridul Khurana; Arka Daw; M. Maruf; Josef C. Uyeda; Wasila M. Dahdul; Caleb Charpentier; Yasin Bakis; Henry L. Bart Jr.; Paula M. Mabee; Hilmar Lapp; James P. Balhoff; Wei-Lun Chao; et al. (ECCV (89), 2024)

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. - Dipanjyoti Paul; Arpita Chowdhury; Xinqi Xiong; Feng-Ju Chang; David Edward Carlyn; Samuel Stevens 001; Kaiya Provost; Anuj Karpatne; Bryan Carstens; Daniel I. Rubenstein; Charles V. Stewart; Tanya Y. Berger-Wolf; et al. (ICLR, 2024)

Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge. - Jenna Kline; Austin O'Quinn; Tanya Y. Berger-Wolf; Christopher Stewart (SEC, 2024)

AI for Nature: From Science to Impact. - Tanya Y. Berger-Wolf (KDD, 2024)

Fine-Tuning is Fine, if Calibrated. - Zheda Mai; Arpita Chowdhury; Ping Zhang 016; Cheng-Hao Tu 001; Hong-You Chen; Vardaan Pahuja; Tanya Y. Berger-Wolf; Song Gao 001; Charles V. Stewart; Yu Su 001; Wei-Lun Chao (NeurIPS, 2024)

VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images. - M. Maruf; Arka Daw; Kazi Sajeed Mehrab; Harish Babu Manogaran; Abhilash Neog; Medha Sawhney; Mridul Khurana; James P. Balhoff; Yasin Bakis; Bahadir Altintas; Matthew J. Thompson; Elizabeth G. Campolongo; et al. (NeurIPS, 2024)

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos. - Maksim Kholiavchenko; Jenna Kline; Michelle Ramirez; Sam Stevens 001; Alec Sheets; Reshma Ramesh Babu; Namrata Banerji; Elizabeth G. Campolongo; Matthew Thompson; Nina Van Tiel; Jackson Miliko; Eduardo Bessa; et al. (WACV (Workshops), 2024)

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. - Vardaan Pahuja; Weidi Luo; Yu Gu 016; Cheng-Hao Tu 001; Hong-You Chen; Tanya Y. Berger-Wolf; Charles V. Stewart; Song Gao 001; Wei-Lun Chao; Yu Su 001 (CoRR, 2024)

BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. - 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 (CoRR, 2024)

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). - Jenna Kline; Maksim Kholiavchenko; Otto Brookes; Tanya Y. Berger-Wolf; Charles V. Stewart; Christopher Stewart (CoRR, 2024)

Adapting the re-ID challenge for static sensors. - Avirath Sundaresan; Jason R. Parham; Jonathan P. Crall; Rosemary Warungu; Timothy Muthami; Margaret Mwangi; Jackson Miliko; Jason Holmberg; Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Sara Beery (CoRR, 2024)

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis. - Arpita Chowdhury; Dipanjyoti Paul; Zheda Mai; Jianyang Gu; Ziheng Zhang; Kazi Sajeed Mehrab; Elizabeth G. Campolongo; Daniel I. Rubenstein; Charles V. Stewart; Anuj Karpatne; Tanya Y. Berger-Wolf; Yu Su 001; et al. (CVPR, 2025)

Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images. - Kazi Sajeed Mehrab; M. Maruf; Arka Daw; Abhilash Neog; Harish Babu Manogaran; Mridul Khurana; Zhenyang Feng; Bahadir Altintas; Yasin Bakis; Elizabeth G. Campolongo; Matthew J. Thompson; Xiaojun Wang; et al. (CVPR, 2025)

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation. - Ziheng Zhang; Jianyang Gu; Arpita Chowdhury; Zheda Mai; David Carlyn; Tanya Y. Berger-Wolf; Yu Su 001; Wei-Lun Chao (CVPR, 2025)

What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits. - Harish Babu Manogaran; M. Maruf; Arka Daw; Kazi Sajeed Mehrab; Caleb Patrick Charpentier; Josef C. Uyeda; Wasila M. Dahdul; Matthew J. Thompson; Elizabeth G. Campolongo; Kaiya L. Provost; Wei-Lun Chao; Tanya Y. Berger-Wolf; et al. (ICLR, 2025)

OmniMesh: Addressing Findability Challenges in Distributed Nature Data Repositories. - Arnab Nandi 001; Wei-Lun Chao; Rongjun Qin; Carl Boettiger; Hilmar Lapp; Tanya Y. Berger-Wolf (SSDBM, 2025)

Adapting the Re-ID Challenge for Static Sensors. - Avirath Sundaresan; Jason Parham; Jonathan P. Crall; Rosemary Warungu; Timothy Muthami; Jackson Miliko; Margaret Mwangi; Jason Holmberg; Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Sara Beery (IET Comput. Vis., 2025)

Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation. - Zhenyang Feng; Zihe Wang; Saul Ibaven Bueno; Tomasz Frelek; Advikaa Ramesh; Jingyan Bai; Lemeng Wang; Zanming Huang; Jianyang Gu; Jinsu Yoo; Tai-Yu Pan; Arpita Chowdhury; et al. (CoRR, 2025)

Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained Analysis. - Arpita Chowdhury; Dipanjyoti Paul; Zheda Mai; Jianyang Gu; Ziheng Zhang; Kazi Sajeed Mehrab; Elizabeth G. Campolongo; Daniel I. Rubenstein; Charles V. Stewart; Anuj Karpatne; Tanya Y. Berger-Wolf; Yu Su 001; et al. (CoRR, 2025)

Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models. - Samuel Stevens 001; Wei-Lun Chao; Tanya Y. Berger-Wolf; Yu Su 001 (CoRR, 2025)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens. - Alyson East; Elizabeth G. Campolongo; Luke Meyers; S. M. Rayeed; Samuel Stevens 001; Iuliia Zarubiieva; Isadora E. Fluck; Jennifer C. Girón; Maximiliane Jousse; Scott C. Lowe; Kayla I Perry; Isabelle Betancourt; et al. (CoRR, 2025)

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning. - Jianyang Gu; Samuel Stevens 001; Elizabeth G. Campolongo; Matthew J. Thompson; Net Zhang; Jiaman Wu; Andrei Kopanev; Zheda Mai; Alexander E. White; James P. Balhoff; Wasila M. Dahdul; Daniel I. Rubenstein; et al. (CoRR, 2025)

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video. - Maksim Kholiavchenko; Jenna Kline; Maksim Kukushkin; Otto Brookes; Sam Stevens 001; Isla Duporge; Alec Sheets; Reshma Ramesh Babu; Namrata Banerji; Elizabeth G. Campolongo; Matthew Thompson; Nina Van Tiel; et al. (Multim. Tools Appl., 2025)