Richard A. Young

17 papers B 2Misc 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs.
IEEE J. Emerg. Sel. Topics Circuits Syst.
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
2023 J jnl
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.
CoRR
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
2022 — conf
Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
ECML/PKDD (6)
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
2022 J jnl
Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
CoRR
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
2022 J jnl
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
J. Artif. Intell. Res.
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2020 J jnl
Classification of COVID-19 and Other Pathogenic Sequences: A Dinucleotide Frequency and Machine Learning Approach.
IEEE Access
Gciniwe S. Dlamini, Stephanie J. Müller, Rebone L. Meraba, Richard A. Young, James Mashiyane, Tapiwa M. Chiwewe, Darlington S. Mapiye
2020 J jnl
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
CoRR
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
2019 J jnl
BORIS promotes chromatin regulatory interactions in treatment-resistant cancer cells.
Nat.
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
2019 B conf
Designing Digital Peer Assessment for Second Language Learning in Low Resource Learning Settings.
L@S
Maletsabisa Molapo, Chane Simone Moodley, Ismail Yunus Akhalwaya, Toby Kurien, Jay Kloppenberg, Richard A. Young
2015 J jnl
Driver Compensation: Impairment or Improvement?
Hum. Factors
Richard A. Young
2006 J jnl
A hypothesis-based approach for identifying the binding specificity of regulatory proteins from chromatin immunoprecipitation data.
Bioinform.
Kenzie D. MacIsaac, D. Benjamin Gordon, Lena Nekludova, Duncan T. Odom, Joerg Schreiber, David K. Gifford, Richard A. Young, Ernest Fraenkel
2003 J jnl
Bayesian Estimation of Transcript Levels Using a General Model of Array Measurement Noise.
J. Comput. Biol.
Ron O. Dror, Jonathan G. Murnick, Nicola J. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young
2002 B conf
A bayesian approach to transcript estimation from gene array data: the BEAM technique.
RECOMB
Ron O. Dror, Jonathan G. Murnick, Nicola A. Rinaldi, Voichita D. Marinescu, Ryan M. Rifkin, Richard A. Young
2002 J jnl
Bayesian Methods for Elucidating Genetic Regulatory Networks.
IEEE Intell. Syst.
Alexander J. Hartemink, David K. Gifford, Tommi S. Jaakkola, Richard A. Young
2002 Misc conf
Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models.
Pacific Symposium on Biocomputing
Alexander J. Hartemink, David K. Gifford, Tommi S. Jaakkola, Richard A. Young
2001 Misc conf
Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks.
Pacific Symposium on Biocomputing
Alexander J. Hartemink, David K. Gifford, Tommi S. Jaakkola, Richard A. Young
1998 J jnl
A Gaussian derivative based version of JPEG for image compression and decompression.
IEEE Trans. Image Process.
Alexander P. Morgan, Layne T. Watson, Richard A. Young