Felipe Oviedo

According to our database, Felipe Oviedo authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AI-Driven Detection and Analysis of Handwriting on Seized Ivory: A Tool to Uncover Criminal Networks in the Illicit Wildlife Trade.

Will Fein, Ryan J. Horwitz, John E. Brown III, Amit Misra, Felipe Oviedo, Kevin White, Juan M. Lavista Ferres, Samuel K. Wasser

CoRR, August, 2025

2022

Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films.

Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj, Yuanhang Cheng, Daniil Bash, Felipe Oviedo, J. Senthilnath, Vijila Chellappan, Yee-Fun Lim, Armin G. Aberle, Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette, Qianxiao Li, Tonio Buonassisi, Zhe Liu

CoRR, 2022

BankNote-Net: Open dataset for assistive universal currency recognition.

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan Lavista Ferres

CoRR, 2022

An Artificial Intelligence Dataset for Solar Energy Locations in India.

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

CoRR, 2022

2021

Interpretable and Explainable Machine Learning for Materials Science and Chemistry.

Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith Butler

CoRR, 2021

Becoming Good at AI for Good.

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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Inverse design of crystals using generalized invertible crystallographic representation.

Zekun Ren, Juhwan Noh, Siyu I. P. Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi

CoRR, 2020

2018

Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks.

Felipe Oviedo, Zekun Ren, Shijing Sun, Charlie Settens, Zhe Liu, Noor Titan Putri Hartono, Ramasamy Savitha, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi

CoRR, 2018