Brian M. Belgodere

According to our database, Brian M. Belgodere authored at least 15 papers between 2013 and 2023.

Collaborative distances:

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

2023

Risk Assessment and Statistical Significance in the Age of Foundation Models.

Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross

CoRR, 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

Large-scale chemical language representations capture molecular structure and properties.

Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das

Nat. Mac. Intell., December, 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

G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning.

John R. Kender, Bishwaranjan Bhattacharjee, Parijat Dube, Brian Belgodere

CoRR, 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

2021

Do Large Scale Molecular Language Representations Capture Important Structural Information?

Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das

CoRR, 2021

2020

P2L: Predicting Transfer Learning for Images and Semantic Relations.

Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

P2L: Predicting Transfer Learning for Images and Semantic Relations.

Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian M. Belgodere

CoRR, 2019

Automatic Labeling of Data for Transfer Learning.

Parijat Dube, Bishwaranjan Bhattacharjee, Siyu Huo, Patrick Watson, Brian M. Belgodere

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Requirements for an Enterprise AI Benchmark.

Cédric Bourrasset, France Boillod-Cerneux, Ludovic Sauge, Myrtille Deldossi, Francois Wellenreiter, Rajesh Bordawekar, Susan Malaika, Jean-Armand Broyelle, Marc West, Brian M. Belgodere

Proceedings of the Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 2018

2017

End-to-end service data analysis: Efficiencies achieved across the enterprise.

Lorraine M. Herger, William J. Rippon, Carlos A. Fonseca, W. Pointer, Brian M. Belgodere, W. H. Cornejo, M. J. Frissora

IBM J. Res. Dev., 2017

2015

Composable DevOps: Automated Ontology Based DevOps Maturity Analysis.

Matthew A. McCarthy, Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere

Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2013

Exploit unstructured data using deep analytics to optimise enterprise IT asset management.

Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere, Mathew McCarthy

Int. J. Bus. Process. Integr. Manag., 2013

Unleashing Unstructured Data's Value for Enterprise IT Asset Management.

Matthew A. McCarthy, Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere

Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013