Richard A. Young

According to our database, Richard A. Young authored at least 14 papers between 1998 and 2023.

Collaborative distances:

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

2023

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.

Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jirí Navrátil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young

CoRR, 2023

2022

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.

Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere

J. Artif. Intell. Res., 2022

Cloud-Based Real-Time Molecular Screening Platform with MolFormer.

Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2020

Classification of COVID-19 and Other Pathogenic Sequences: A Dinucleotide Frequency and Machine Learning Approach.

Gciniwe S. Dlamini, Stephanie J. Müller, Rebone L. Meraba, Richard A. Young, James Mashiyane, Tapiwa M. Chiwewe, Darlington S. Mapiye

IEEE Access, 2020

2019

BORIS promotes chromatin regulatory interactions in treatment-resistant cancer cells.

David N. Debruyne, Ruben Dries, Satyaki Sengupta, Davide Seruggia, Yang Gao, Bandana Sharma, Hao Huang, Lisa Moreau, Michael McLane, Daniel S. Day, Eugenio Marco, Ting Chen, Nathanael S. Gray, Kwok-Kin Wong, Stuart H. Orkin, Guo-Cheng Yuan, Richard A. Young, Rani E. George

Nat., 2019

Designing Digital Peer Assessment for Second Language Learning in Low Resource Learning Settings.

Maletsabisa Molapo, Chane Simone Moodley, Ismail Yunus Akhalwaya, Toby Kurien, Jay Kloppenberg, Richard A. Young

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

2015

Driver Compensation: Impairment or Improvement?

Richard A. Young

Hum. Factors, 2015

2006

A hypothesis-based approach for identifying the binding specificity of regulatory proteins from chromatin immunoprecipitation data.

Kenzie D. MacIsaac, D. Benjamin Gordon, Lena Nekludova, Duncan T. Odom, Joerg Schreiber, David K. Gifford, Richard A. Young, Ernest Fraenkel

Bioinform., 2006

2003

Bayesian Estimation of Transcript Levels Using a General Model of Array Measurement Noise.

Ron O. Dror, Jonathan G. Murnick, Nicola J. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young

J. Comput. Biol., 2003

2002

Bayesian Methods for Elucidating Genetic Regulatory Networks.

Alexander J. Hartemink, David K. Gifford, Tommi S. Jaakkola, Richard A. Young

IEEE Intell. Syst., 2002

A bayesian approach to transcript estimation from gene array data: the BEAM technique.

Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young

Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models.

Alexander J. Hartemink, David K. Gifford, Tommi S. Jaakkola, Richard A. Young

Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

2001

Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks.

Alexander J. Hartemink, David K. Gifford, Tommi S. Jaakkola, Richard A. Young

Proceedings of the 6th Pacific Symposium on Biocomputing, 2001

1998

A Gaussian derivative based version of JPEG for image compression and decompression.

Alexander P. Morgan, Layne T. Watson, Richard A. Young

IEEE Trans. Image Process., 1998