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ORCIDJuan Lavista Ferres
Juan M. Lavista Ferres
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2020 – today
- 2024
[j10]William B. Weeks, Juan M. Lavista Ferres, James N. Weinstein:
Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare. Frontiers Artif. Intell. 7 (2024)- [c17]Isaac Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CVPR Workshops 2024: 3162-3172 - [c16]Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood:
Weak Labeling for Cropland Mapping in Africa. IGARSS 2024: 258-262 - [i39]Caleb Robinson, Isaac Corley, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery. CoRR abs/2401.06762 (2024) - [i38]Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood:
Weak Labeling for Cropland Mapping in Africa. CoRR abs/2401.07014 (2024) - [i37]Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke:
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery. CoRR abs/2403.02736 (2024) - [i36]Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim:
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. CoRR abs/2403.07105 (2024) - [i35]Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike:
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. CoRR abs/2404.08544 (2024) - [i34]Andrés Hernández, Zhongqi Miao, Luisa Vargas, Rahul Dodhia, Juan Lavista Ferres:
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation. CoRR abs/2405.12930 (2024) - [i33]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:
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation. CoRR abs/2409.16252 (2024) - 2023
- [j9]Yixi Xu
, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan Lavista Ferres:
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. Comput. Biol. Medicine 158: 106882 (2023) - [c15]Simone Fobi, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres:
Poverty rate prediction using multi-modal survey and earth observation data. COMPASS 2023: 23-29 - [c14]Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres:
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. ICCV (Workshops) 2023: 3762-3766 - [c13]Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim:
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. Medical Imaging: Image Processing 2023 - [i32]Lucas Augusto Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan Lavista Ferres:
How effective is multifactor authentication at deterring cyberattacks? CoRR abs/2305.00945 (2023) - [i31]Isaac A. Corley, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Peyman Najafirad:
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters. CoRR abs/2305.13456 (2023) - [i30]Anthony Cintron Roman, Kevin Xu, Arfon Smith, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres:
Open Data on GitHub: Unlocking the Potential of AI. CoRR abs/2306.06191 (2023) - [i29]Caleb Robinson, Simone Fobi Nsutezo, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Cameron Birge, Kasie Richards, Kris Pitcher, Paulo Duarte, Juan M. Lavista Ferres:
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event. CoRR abs/2306.12589 (2023) - [i28]Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan Lavista Ferres:
Poverty rate prediction using multi-modal survey and earth observation data. CoRR abs/2307.11921 (2023) - [i27]Mayana Pereira, Kevin Greene, Nilima Pisharody, Rahul Dodhia, Jacob N. Shapiro, Juan M. Lavista Ferres:
Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic. CoRR abs/2307.13180 (2023) - [i26]Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres, Rafael de Sousa:
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data. CoRR abs/2310.19250 (2023) - [i25]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 Lavista Ferres:
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images. CoRR abs/2311.01064 (2023) - [i24]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:
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR abs/2311.09614 (2023) - [i23]Anthony Cintron Roman, Jennifer Wortman Vaughan, Valerie See, Steph Ballard, Nicolas Schifano, Jehu Torres Vega, Caleb Robinson, Juan M. Lavista Ferres:
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments. CoRR abs/2312.06153 (2023) - 2022
- [j8]Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, Arman Rahmim:
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Comput. Methods Programs Biomed. 219: 106750 (2022) - [j7]Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho:
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7458-7471 (2022) - [j6]Anthony Ortiz, Weiyushi Tian, Tenzing Chogyal Sherpa, Finu Shrestha, Mir Matin, Rahul Dodhia, Juan M. Lavista Ferres, Kris Sankaran:
Mapping Glacial Lakes Using Historically Guided Segmentation Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9226-9240 (2022) - [j5]Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan M. Lavista Ferres:
Mace: A flexible framework for membership privacy estimation in generative models. Trans. Mach. Learn. Res. 2022 (2022) - [c12]Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres:
Fast building segmentation from satellite imagery and few local labels. CVPR Workshops 2022: 1462-1470 - [c11]Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. SIGSPATIAL/GIS 2022: 19:1-19:12 - [c10]Shahrzad Gholami, Caleb Robinson, Anthony Ortiz, Siyu Yang, Jacopo Margutti, Cameron Birge, Rahul Dodhia, Juan Lavista Ferres:
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. ICDM (Workshops) 2022: 1029-1036 - [i22]Anthony Ortiz, Dhaval Negandhi, Sagar R. Mysorekar, Joseph Kiesecker, Shivaprakash K. Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan Lavista Ferres:
An Artificial Intelligence Dataset for Solar Energy Locations in India. CoRR abs/2202.01340 (2022) - [i21]Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan Lavista Ferres:
BankNote-Net: Open dataset for assistive universal currency recognition. CoRR abs/2204.03738 (2022) - [i20]Caleb Robinson, Anthony Ortiz, Hogeun Park, Nancy Lozano-Gracia, Jon Kher Kaw, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres:
Fast building segmentation from satellite imagery and few local labels. CoRR abs/2206.05377 (2022) - [i19]Md Nasir, Tina Sederholm, Anshu Sharma, Sundeep Reddy Mallu, Sumedh Ranjan Ghatage, Rahul Dodhia, Juan Lavista Ferres:
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery. CoRR abs/2211.11636 (2022) - 2021
- [j4]Ming Zhong, Ruth Taylor, Naomi Bates, Damian Christey, Hari Basnet, Jennifer Flippin, Shane Palkovitz, Rahul Dodhia, Juan Lavista Ferres:
Acoustic detection of regionally rare bird species through deep convolutional neural networks. Ecol. Informatics 64: 101333 (2021) - [j3]Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Nabajyoti Patowary, Juan Lavista Ferres:
privGAN: Protecting GANs from membership inference attacks at low cost to utility. Proc. Priv. Enhancing Technol. 2021(3): 142-163 (2021) - [c9]Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan Lavista Ferres:
Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data. AAAI 2021: 15309-15315 - [c8]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:
Becoming Good at AI for Good. AIES 2021: 664-673 - [c7]Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho:
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. COMPASS 2021: 138-146 - [c6]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 Lavista Ferres:
Height Estimation of Children under Five Years using Depth Images. EMBC 2021: 3886-3889 - [c5]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. GoodIT 2021: 79-84 - [c4]Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan Lavista Ferres:
A machine learning pipeline for aiding school identification from child trafficking images. GoodIT 2021: 297-300 - [c3]Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman, Judith Klein-Seetharaman:
Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome. PSB 2021 - [i18]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. CoRR abs/2101.07235 (2021) - [i17]Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho:
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. CoRR abs/2103.09787 (2021) - [i16]Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan Lavista Ferres, Rahul Dodhia:
U.S. Broadband Coverage Data Set: A Differentially Private Data Release. CoRR abs/2103.14035 (2021) - [i15]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:
Becoming Good at AI for Good. CoRR abs/2104.11757 (2021) - [i14]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 Lavista Ferres:
Height Estimation of Children under Five Years using Depth Images. CoRR abs/2105.01688 (2021) - [i13]Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan Lavista Ferres:
A machine learning pipeline for aiding school identification from child trafficking images. CoRR abs/2106.05215 (2021) - [i12]Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres:
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises. CoRR abs/2106.10241 (2021) - [i11]Caleb Robinson, Anthony Ortiz, Lacey Hughey, Jared A. Stabach, Juan M. Lavista Ferres:
Detecting Cattle and Elk in the Wild from Space. CoRR abs/2106.15448 (2021) - [i10]Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan Lavista Ferres:
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases. CoRR abs/2107.13157 (2021) - [i9]Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith Butler:
Interpretable and Explainable Machine Learning for Materials Science and Chemistry. CoRR abs/2111.01037 (2021) - [i8]Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjee:
TorchGeo: deep learning with geospatial data. CoRR abs/2111.08872 (2021) - [i7]Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho:
Mapping industrial poultry operations at scale with deep learning and aerial imagery. CoRR abs/2112.10988 (2021) - 2020
- [j2]Jack LeBien, Ming Zhong, Marconi Campos-Cerqueira, Julian P. Velev, Rahul Dodhia, Juan Lavista Ferres, T. Mitchell Aide:
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network. Ecol. Informatics 59: 101113 (2020) - [c2]Sumit Mukherjee, Nicholas Becker, William B. Weeks, Juan Lavista Ferres:
Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut. ICMLA 2020: 1332-1339 - [i6]Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres:
Protecting GANs against privacy attacks by preventing overfitting. CoRR abs/2001.00071 (2020) - [i5]Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan Lavista Ferres:
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. CoRR abs/2009.05683 (2020) - [i4]Anusua Trivedi, Sreya Muppalla, Shreyaan Pathak, Azadeh Mobasher, Pawel Janowski, Rahul Dodhia, Juan M. Lavista Ferres:
Improving Lesion Detection by exploring bias on Skin Lesion dataset. CoRR abs/2010.01485 (2020) - [i3]Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing Chogyal Sherpa, Finu Shresta, Anthony Ortiz, Kris Sankaran, Juan Lavista Ferres, Mir Matin, Yoshua Bengio:
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya. CoRR abs/2012.05013 (2020)
2010 – 2019
- 2019
- [c1]Yu-Chia Chen, Avleen S. Bijral, Juan Lavista Ferres:
On Dynamic Network Models and Application to Causal Impact. KDD 2019: 1194-1204 - [i2]Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan Lavista Ferres:
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India. CoRR abs/1910.02136 (2019) - 2018
- [j1]Christopher Xie, Avleen Bijral, Juan Lavista Ferres:
NonSTOP: A NonSTationary Online Prediction Method for Time Series. IEEE Signal Process. Lett. 25(10): 1545-1549 (2018) - 2016
- [i1]Christopher Xie, Avleen Bijral, Juan Lavista Ferres:
An Online Prediction Framework for Non-Stationary Time Series. CoRR abs/1611.02365 (2016)
Coauthor Index
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