Juan M. Lavista Ferres

103 papers A* 4A 1B 1C 5Misc 1Journal 78Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
BYOL: Bring Your Own Language Into LLMs.
CoRR
Syed Waqas Zamir, Wassim Hamidouche, Boulbaba Ben Amor, Luana Marotti, Inbal Becker-Reshef, Juan M. Lavista Ferres
2026 J jnl
Core-Set Selection for Data-Efficient Land Cover Segmentation.
IEEE Access
Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin
2026 J jnl
From Pixels to Patches: Pooling Strategies for Earth Embeddings.
CoRR
Isaac Corley, Caleb Robinson, Inbal Becker-Reshef, Juan M. Lavista Ferres
2026 A* conf
Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India.
AAAI
Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
2026 J jnl
Media Integrity and Authentication: Status, Directions, and Futures.
CoRR
Jessica Young, Sam Vaughan, Andrew Jenks, Henrique S. Malvar, Christian Paquin, Paul England, Thomas Roca, Juan M. Lavista Ferres, Forough Poursabzi-Sangdeh, Neil Coles, Ken Archer, Eric Horvitz
2026 J jnl
Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning.
CoRR
Girmaw Abebe Tadesse, Titien Bartette, Andrew Hassanali, Allen Kim, Jonathan Chemla, Andrew Zolli, Yves Ubelmann, Caleb Robinson, Inbal Becker-Reshef, Juan M. Lavista Ferres
2026 J jnl
The Microsoft-Northwestern-WITNESS Benchmark for Deepfake Detection.
IEEE Intell. Syst.
Thomas Roca, Marco Postiglione, Chongyang Gao, Isabel Gortner, Zuzanna Wojciak, Pengce Wang, Mahsa Alimardani, Shirin Anlen, Kevin White, Juan M. Lavista Ferres, Sarit Kraus, Sam Gregory, V. S. Subrahmanian, San Murugesan
2025 J jnl
AI Diffusion in Low Resource Language Countries.
CoRR
Amit Misra, Syed Waqas Zamir, Wassim Hamidouche, Inbal Becker-Reshef, Juan M. Lavista Ferres
2025 J jnl
AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade.
CoRR
Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser
2025 J jnl
Core-Set Selection for Data-efficient Land Cover Segmentation.
CoRR
Keiller Nogueira, Akram Zaytar, Wanli Ma, Ribana Roscher, Ronny Hänsch, Caleb Robinson, Anthony Ortiz, Simone Fobi Nsutezo, Rahul Dodhia, Juan M. Lavista Ferres, Oktay Karakus, Paul L. Rosin
2025 — conf
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation.
CVPR Workshops
Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
2025 J jnl
Energy Use of AI Inference: Efficiency Pathways and Test-Time Compute.
CoRR
Felipe Oviedo, Fiodar Kazhamiaka, Esha Choukse, Allen Kim, Amy Luers, Melanie Nakagawa, Ricardo Bianchini, Juan M. Lavista Ferres
2025 J jnl
Enhancing Food Security With High-Quality Land-Use and Land-Cover Maps: A Local Model Approach.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Seyed Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
2025 J jnl
FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing.
CoRR
Isaac Corley, Simone Fobi Nsutezo, Anthony Ortiz, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2025 A* conf
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation.
AAAI
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
2025 J jnl
GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models.
CoRR
Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
2025 J jnl
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery.
CoRR
Caleb Robinson, Anthony Ortiz, Allen Kim, Rahul Dodhia, Andrew Zolli, Shivaprakash K. Nagaraju, James Oakleaf, Joseph Kiesecker, Juan M. Lavista Ferres
2025 J jnl
How good are humans at detecting AI-generated images? Learnings from an experiment.
CoRR
Thomas Roca, Anthony Cintron Roman, Jehu Torres Vega, Marcelo Duarte, Pengce Wang, Kevin White, Amit Misra, Juan M. Lavista Ferres
2025 — conf
Mapping Refugee Camps with AI: A Benchmark Dataset and Baseline Models for Humanitarian Applications.
WACV (Workshops)
Amrita Gupta, Anthony Ortiz, Simone Fobi Nsutezo, Duncan Kebut, Seema Iyer, Rahul Dodhia, Juan M. Lavista Ferres
2025 J jnl
Measuring AI Diffusion: A Population-Normalized Metric for Tracking Global AI Usage.
CoRR
Amit Misra, Jane Wang, Scott McCullers, Kevin White, Juan M. Lavista Ferres
2025 — conf
Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data.
TerraBytes
Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
2025 J jnl
Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data.
CoRR
Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Tammy Glazer, Gilles Quentin Hacheme, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
2025 A conf
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery.
WACV
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
2025 J jnl
Remote Sensing Reveals Adoption of Sustainable Rice Farming Practices Across Punjab, India.
CoRR
Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
2025 J jnl
TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery.
CoRR
Tammy Glazer, Gilles Quentin Hacheme, Akram Zaytar, Luana Marotti, Amy Michaels, Girmaw Abebe Tadesse, Kevin White, Rahul Dodhia, Andrew Zolli, Inbal Becker-Reshef, Juan M. Lavista Ferres, Caleb Robinson
2025 J jnl
TorchGeo: Deep Learning With Geospatial Data.
ACM Trans. Spatial Algorithms Syst.
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2025 J jnl
Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality.
CoRR
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, William B. Weeks, Rahul Dodhia, Juan M. Lavista Ferres, Narinder Pal Singh
2025 J jnl
Using website referrals to identify unreliable content rabbit holes.
Behav. Inf. Technol.
Kevin T. Greene, Mayana Pereira, Nilima Pisharody, Rahul Dodhia, Juan M. Lavista Ferres, Jacob N. Shapiro
2025 — conf
Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery.
TerraBytes
Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
2025 J jnl
Where are the Whales: A Human-in-the-loop Detection Method for Identifying Whales in High-resolution Satellite Imagery.
CoRR
Caleb Robinson, Kimberly T. Goetz, Christin B. Khan, Meredith Sackett, Kathleen Leonard, Rahul Dodhia, Juan M. Lavista Ferres
2024 J jnl
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
CoRR
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
2024 — conf
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning.
STAI@IJCAI
Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
2024 J jnl
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning.
CoRR
Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
2024 J jnl
Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare.
Frontiers Artif. Intell.
William B. Weeks, Juan M. Lavista Ferres, James N. Weinstein
2024 J jnl
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery.
CoRR
Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
2024 J jnl
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
PLoS Comput. Biol.
Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024 J jnl
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation.
CoRR
Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
2024 J jnl
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation.
CoRR
Hannah Kerner, Snehal Chaudhari, Aninda Ghosh, Caleb Robinson, Adeel Ahmad, Eddie Choi, Nathan Jacobs, Chris Holmes, Matthias Mohr, Rahul Dodhia, Juan M. Lavista Ferres, Jennifer Marcus
2024 J jnl
Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps.
CoRR
Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
2024 J jnl
Mapping Global Floods with 10 Years of Satellite Radar Data.
CoRR
Amit Misra, Kevin White, Simone Fobi Nsutezo, William Straka, Juan M. Lavista Ferres
2024 J jnl
PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery.
CoRR
Simone Fobi Nsutezo, Amrita Gupta, Duncan Kebut, Seema Iyer, Luana Marotti, Rahul Dodhia, Juan M. Lavista Ferres, Anthony Ortiz
2024 J jnl
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation.
CoRR
Andrés Hernández, Zhongqi Miao, Luisa Vargas, Rahul Dodhia, Juan M. Lavista Ferres
2024 — conf
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters.
CVPR Workshops
Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2024 J jnl
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery.
CoRR
Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2024 J jnl
Sims: An Interactive Tool for Geospatial Matching and Clustering.
CoRR
Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G. Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
2024 C conf
Weak Labeling for Cropland Mapping in Africa.
IGARSS
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen A. Wood
2024 J jnl
Weak Labeling for Cropland Mapping in Africa.
CoRR
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen A. Wood
2023 B conf
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
Image Processing
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
2023 J jnl
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data.
CoRR
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa
2023 J jnl
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Comput. Biol. Medicine
Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan M. Lavista Ferres
2023 J jnl
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.
CoRR
Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo Hyun O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, William B. Weeks, Carlos F. Uribe, Arman Rahmim
2023 J jnl
How effective is multifactor authentication at deterring cyberattacks?
CoRR
Lucas Augusto Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan M. Lavista Ferres
2023 J jnl
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images.
CoRR
Zalan Fabian, Zhongqi Miao, Chunyuan Li, Yuanhan Zhang, Ziwei Liu, Andrés Hernández, Andrés Montes-Rojas, Rafael Escucha, Laura Siabatto, Andrés Link, Pablo Arbeláez, Rahul Dodhia, Juan M. Lavista Ferres
2023 J jnl
Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic.
CoRR
Mayana Pereira, Kevin T. Greene, Nilima Pisharody, Rahul Dodhia, Jacob N. Shapiro, Juan M. Lavista Ferres
2023 J jnl
Open Data on GitHub: Unlocking the Potential of AI.
CoRR
Anthony Cintron Roman, Kevin Xu, Arfon M. Smith, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres
2023 J jnl
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments.
CoRR
Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres
2023 C conf
Poverty rate prediction using multi-modal survey and earth observation data.
COMPASS
Simone Fobi, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2023 J jnl
Poverty rate prediction using multi-modal survey and earth observation data.
CoRR
Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2023 — conf
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event.
ICCV (Workshops)
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
2023 J jnl
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event.
CoRR
Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres
2023 J jnl
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters.
CoRR
Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad
2022 J jnl
An Artificial Intelligence Dataset for Solar Energy Locations in India.
CoRR
Anthony Ortiz, Dhaval Negandhi, Sagar R. Mysorekar, Joseph Kiesecker, Shivaprakash K. Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres
2022 J jnl
BankNote-Net: Open dataset for assistive universal currency recognition.
CoRR
Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres
2022 J jnl
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery.
CoRR
Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan M. Lavista Ferres
2022 — conf
Fast building segmentation from satellite imagery and few local labels.
CVPR Workshops
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Fast building segmentation from satellite imagery and few local labels.
CoRR
Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Mace: A flexible framework for membership privacy estimation in generative models.
Trans. Mach. Learn. Res.
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Mapping Glacial Lakes Using Historically Guided Segmentation Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran
2022 J jnl
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
2022 — conf
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach.
ICDM (Workshops)
Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan M. Lavista Ferres
2022 J jnl
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features.
Comput. Methods Programs Biomed.
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan M. Lavista Ferres, Ghassan Hamarneh, Arman Rahmim
2022 — conf
TorchGeo: deep learning with geospatial data.
SIGSPATIAL/GIS
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2021 — conf
A machine learning pipeline for aiding school identification from child trafficking images.
GoodIT
Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres
2021 J jnl
A machine learning pipeline for aiding school identification from child trafficking images.
CoRR
Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan M. Lavista Ferres
2021 J jnl
Acoustic detection of regionally rare bird species through deep convolutional neural networks.
Ecol. Informatics
Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan M. Lavista Ferres
2021 J jnl
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises.
CoRR
Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres
2021 C conf
Becoming Good at AI for Good.
AIES
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
2021 J jnl
Becoming Good at AI for Good.
CoRR
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
2021 J jnl
Detecting Cattle and Elk in the Wild from Space.
CoRR
Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres
2021 — conf
Height Estimation of Children under Five Years using Depth Images.
EMBC
Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres
2021 J jnl
Height Estimation of Children under Five Years using Depth Images.
CoRR
Anusua Trivedi, Mohit Jain, Nikhil Kumar Gupta, Markus Hinsche, Prashant Singh, Markus Matiaschek, Tristan Behrens, Mirco Militeri, Cameron Birge, Shivangi Kaushik, Archisman Mohapatra, Rita Chatterjee, Rahul Dodhia, Juan M. Lavista Ferres
2021 J jnl
Interpretable and Explainable Machine Learning for Materials Science and Chemistry.
CoRR
Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler
2021 J jnl
Mapping industrial poultry operations at scale with deep learning and aerial imagery.
CoRR
Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
2021 Misc conf
Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome.
PSB
Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman, Judith Klein-Seetharaman
2021 — conf
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
GoodIT
Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng
2021 J jnl
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
CoRR
Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng
2021 J jnl
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases.
CoRR
Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan M. Lavista Ferres
2021 C conf
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery.
COMPASS
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
2021 J jnl
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery.
CoRR
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
2021 J jnl
TorchGeo: deep learning with geospatial data.
CoRR
Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee
2021 J jnl
U.S. Broadband Coverage Data Set: A Differentially Private Data Release.
CoRR
Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan M. Lavista Ferres, Rahul Dodhia
2021 A* conf
Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data.
AAAI
Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan M. Lavista Ferres
2021 J jnl
privGAN: Protecting GANs from membership inference attacks at low cost to utility.
Proc. Priv. Enhancing Technol.
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Nabajyoti Patowary, Juan M. Lavista Ferres
2020 J jnl
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network.
Ecol. Informatics
Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev, Rahul Dodhia, Juan M. Lavista Ferres, T. Mitchell Aide
2020 J jnl
Improving Lesion Detection by exploring bias on Skin Lesion dataset.
CoRR
Anusua Trivedi, Sreya Muppalla, Shreyaan Pathak, Azadeh Mobasher, Pawel Janowski, Rahul Dodhia, Juan M. Lavista Ferres
2020 J jnl
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models.
CoRR
Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan M. Lavista Ferres
2020 J jnl
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.
CoRR
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan M. Lavista Ferres, Mir Matin, Yoshua Bengio
2020 J jnl
Protecting GANs against privacy attacks by preventing overfitting.
CoRR
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan M. Lavista Ferres
2020 C conf
Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut.
ICMLA
Sumit Mukherjee, Nicholas Becker, William B. Weeks, Juan M. Lavista Ferres
2019 A* conf
On Dynamic Network Models and Application to Causal Impact.
KDD
Yu-Chia Chen, Avleen S. Bijral, Juan M. Lavista Ferres
2019 J jnl
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India.
CoRR
Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan M. Lavista Ferres
2018 J jnl
NonSTOP: A NonSTationary Online Prediction Method for Time Series.
IEEE Signal Process. Lett.
Christopher Xie, Avleen Bijral, Juan M. Lavista Ferres
2016 J jnl
An Online Prediction Framework for Non-Stationary Time Series.
CoRR
Christopher Xie, Avleen Bijral, Juan M. Lavista Ferres