R. Dodhia

发表

A Review of Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (3rd ed.)

R. Dodhia, 2005 .

Interruptions create prospective memory tasks

Rahul M. Dodhia, R. Dismukes, R. Dodhia, 2009 .

Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes

S. Gupta, J. Ferres, Anthony Ortiz, 2020, Scientific Reports.

Metadata-Based Detection of Child Sexual Abuse Material pdf

Richard Brown, Mayana Pereira, Rahul Dodhia, 2020, ArXiv.

Let's Practice What We Preach

A. Gelman, Cristian Pasarica, R. Dodhia, 2002 .

The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data

S. Mukherjee, B. Richardson, J. Ferres, 2022, JMIR public health and surveillance.

Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery

J. Ferres, R. Dodhia, Anshu Sharma, 2022, ArXiv.

Let's Practice What We Preach

Andrew Gelman, Rahul Dodhia, Cristian Pasarica, 2002 .

Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases pdf

Juan Lavista Ferres, Anusua Trivedi, Rahul Dodhia, 2021, ArXiv.

False memories and source monitoring

J. Metcalfe, R. Dodhia, 1999 .

U.S. Broadband Coverage Data Set: A Differentially Private Data Release pdf

Juan Lavista Ferres, Mayana Pereira, Rahul Dodhia, 2021, ArXiv.

Beluga whale acoustic signal classification using deep learning neural network models.

Ming Zhong, Rahul Dodhia, Manuel Castellote, 2020, The Journal of the Acoustical Society of America.

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters

J. Ferres, R. Dodhia, Caleb Robinson, 2023, ArXiv.

Acoustic detection of regionally rare bird species through deep convolutional neural networks

Juan Lavista Ferres, Rahul Dodhia, Ming Zhong, 2021, Ecol. Informatics.

Multispecies bioacoustic classification using transfer learning of deep convolutional neural networks with pseudo-labeling

Juan Lavista Ferres, Jack LeBien, Ming Zhong, 2020 .

A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network

Juan Lavista Ferres, Jack LeBien, Ming Zhong, 2020, Ecol. Informatics.

Mapping Glacial Lakes Using Historically Guided Segmentation Models

K. Sankaran, J. Ferres, Anthony Ortiz, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Becoming Good at AI for Good

I. Klyuzhin, D. Tanner, S. Mukherjee, 2021, AIES.

Fast building segmentation from satellite imagery and few local labels

Jon Kher Kaw, J. Ferres, Anthony Ortiz, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Defending Democracy: Using Deep Learning to Identify and Prevent Misinformation pdf

Anusua Trivedi, Arathi Sethumadhavan, Rahul Dodhia, 2021, ArXiv.

How to Handle Armed Conflict Data in a Real-World Scenario?

Juan Lavista Ferres, Anusua Trivedi, Rahul Dodhia, 2020, Philosophy & Technology.

Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes

S. Gupta, J. Ferres, Anthony Ortiz, 2022, Scientific Reports.

Detecting, classifying, and counting blue whale calls with Siamese neural networks.

Rahul Dodhia, Jean-Yves Royer, Juan Lavista Ferres, 2021, The Journal of the Acoustical Society of America.

The Limits of Expertise: Rethinking Pilot Error and the Causes of Airline Accidents

R Key Dismukes, Benjamin A Berman, Loukia D. Loukopoulos, 2007 .

An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises pdf

Juan Lavista Ferres, Meghana Kshirsagar, Mayana Pereira, 2021, ArXiv.

Mace: A flexible framework for membership privacy estimation in generative models

S. Mukherjee, Shruti Tople, J. Ferres, 2020, Trans. Mach. Learn. Res..

Poverty rate prediction using multi-modal survey and earth observation data

J. Ferres, Anthony Ortiz, R. Dodhia, 2023, The Compass.

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data

S. Mukherjee, J. Ferres, R. Dodhia, 2023, ArXiv.

Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic

Jacob N. Shapiro, J. Ferres, R. Dodhia, 2023, ArXiv.

Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery

J. Ferres, R. Dodhia, Caleb Robinson, 2024, 2401.06762.

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning

J. Ferres, R. Dodhia, Samuel Sledzieski, 2023, bioRxiv.

The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands

J. Kiesecker, J. Oakleaf, M. Heiner, 2023, Land.

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

Jayashree Kalpathy-Cramer, J. Ferres, W. Liles, 2022, PloS one.

Democratizing protein language models with parameter-efficient fine-tuning.

R. Dodhia, J. L. Lavista Ferres, Samuel Sledzieski, 2024, Proceedings of the National Academy of Sciences of the United States of America.

On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach

J. Ferres, Anthony Ortiz, R. Dodhia, 2022, 2022 IEEE International Conference on Data Mining Workshops (ICDMW).

Zero-Shot Transfer for Wildlife Bioacoustics Detection

Zhongqi Miao, J. Ferres, R. Dodhia, 2023 .