Juan Lavista Ferres

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Satellite Imagery

Convolutional Neural Networks

Top Venues

Ecol. Informatics

IEEE Signal Process. Lett.

Comput. Methods Programs Biomed.

Publications

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 (2024)
Andrés Hernández, Zhongqi Miao, Luisa Vargas, Rahul Dodhia, Juan Lavista Ferres
Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation. CoRR (2024)
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 (2023)
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)
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 (2023)
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)
Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos 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 (2023)
Lucas Augusto Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan Lavista Ferres
How effective is multifactor authentication at deterring cyberattacks? CoRR (2023)
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 (2023)
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 (2022)
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)
Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan Lavista Ferres
BankNote-Net: Open dataset for assistive universal currency recognition. CoRR (2022)
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 (2022)
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 (2022)
Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith Butler
Interpretable and Explainable Machine Learning for Materials Science and Chemistry. CoRR (2021)
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)
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 (2021)
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 (2021)
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)
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 (2021)
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 (2021)
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 (2021)
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)
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 (2021)
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) (2021)
Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan Lavista Ferres
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases. CoRR (2021)
Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres
Protecting GANs against privacy attacks by preventing overfitting. CoRR (2020)
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 (2020)
Shimaa Baraka, Benjamin Akera, Bibek Aryal, Tenzing 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 (2020)
Xiyang Liu, Yixi Xu, Sumit Mukherjee, Juan Lavista Ferres
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models. CoRR (2020)
Sumit Mukherjee, Nicholas Becker, William Weeks, Juan Lavista Ferres
Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut. ICMLA (2020)
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 (2019)
Yu-Chia Chen, Avleen S. Bijral, Juan Lavista Ferres
On Dynamic Network Models and Application to Causal Impact. KDD (2019)
Christopher Xie, Avleen Bijral, Juan Lavista Ferres
NonSTOP: A NonSTationary Online Prediction Method for Time Series. IEEE Signal Process. Lett. 25 (10) (2018)
Christopher Xie, Avleen Bijral, Juan Lavista Ferres
An Online Prediction Framework for Non-Stationary Time Series. CoRR (2016)