Roselyne Tchoua

According to our database, Roselyne Tchoua authored at least 34 papers between 2006 and 2023.

Collaborative distances:

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

2023

No nodule left behind: evaluating lung nodule malignancy classification with different stratification schemes.

Thomas Zeng, Elias Furst, Yiyang Wang, Roselyne Tchoua, Jacob Furst, Daniela Raicu

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Iterative K-means clustering for disease subtype discovery.

Katherine Aubert, Catherine Huber, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Multiclass Classification of Software Vulnerabilities with Deep Learning.

Crystal Contreras, Hristina Dokic, Zhen Huang, Daniela Stan Raicu, Jacob Furst, Roselyne Tchoua

Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning.

Arun Sivakumar, Yiyang Wang, Roselyne Tchoua, Thiruvarangan Ramaraj, Jacob Furst, Daniela Stan Raicu

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

CompNet: A Designated Model to Handle Combinations of Images and Designed features.

Bowen Qiu, Daniela Raicu, Jacob Furst, Roselyne Tchoua

CoRR, 2022

Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification.

Edward Xu, Thiruvarangan Ramaraj, Roselyne Tchoua, Jacob Furst, Daniela Raicu

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Measuring Reproduciblity of Machine Learning Methods for Medical Diagnosis.

Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Ensuring AI For Science is Science: Making Randomness Portable.

Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead

Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

Similarity-based uncertainty scores for interpretable deep learning in scientific applications.

Lilly Roelofs, Claire Weissman, Daniela Raicu, Jacob Furst, Roselyne Tchoua

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Interactive deep learning for explainable retinal disease classification.

Mariana Vasquez, Suhev Shakya, Ian Wang, Jacob Furst, Roselyne Tchoua, Daniela Raicu

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Similarity-based uncertainty scores for computer-aided diagnosis.

Claire Weissman, Lilly Roelofs, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Human-in-the-loop deep learning retinal image classification with customized loss function.

Suhev Shakya, Mariana Vasquez, Yiyang Wang, Roselyne Tchoua, Jacob Furst, Daniela Raicu

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Text Summarization towards Scientific Information Extraction.

Abigail Keller, Jacob Furst, Daniela Raicu, Peter M. Hastings, Roselyne Tchoua

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Failure Sources in Machine Learning for Medicine - A Study.

Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Ensemble Labeling Towards Scientific Information Extraction (ELSIE).

Erin Murphy, Alexander Rasin, Jacob Furst, Daniela Raicu, Roselyne Tchoua

Proceedings of the Computational Science - ICCS 2021, 2021

Ensemble Labeling towards Scientific Information Extraction (ELSIE) - Blob Extraction.

Erin Murphy, Alexander Rasin, Jacob Furst, Daniela Raicu, Roselyne Tchoua

Proceedings of the 17th IEEE International Conference on eScience, 2021

2020

SciNER: Extracting Named Entities from Scientific Literature.

Zhi Hong, Roselyne Tchoua, Kyle Chard, Ian T. Foster

Proceedings of the Computational Science - ICCS 2020, 2020

Learning Latent Spiculated Features for Lung Nodule Characterization.

Bowen Qiu, Jacob Furst, Alexander Rasin, Roselyne Tchoua, Daniela Raicu

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Enhancing Recall Using Data Cleaning for Biomedical Big Data.

Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Sameer K. Antani

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort.

Roselyne B. Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Alexander Belikov, Debra J. Audus, Shrayesh Patel, Juan J. de Pablo, Ian T. Foster

Proceedings of the Computational Science - ICCS 2019, 2019

Active Learning Yields Better Training Data for Scientific Named Entity Recognition.

Roselyne Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Debra Audus, Shrayesh Patel, Juan de Pablo, Ian T. Foster

Proceedings of the 15th International Conference on eScience, 2019

2018

Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications.

A. Hunter, Bryan A. Moore, Maruti Kumar Mudunuru, Viet T. Chau, Robyn L. Miller, Roselyne B. Tchoua, C. Nyshadham, Satish Karra, Dan O'Malley, Esteban Rougier, Hari S. Viswanathan, Gowri Srinivasan

CoRR, 2018

2017

Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline.

Roselyne B. Tchoua, Kyle Chard, Debra J. Audus, Logan T. Ward, Joshua Lequieu, Juan J. de Pablo, Ian T. Foster

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

A Hybrid Human-computer Approach to the Extraction of Scientific Facts from the Literature.

Roselyne Tchoua, Kyle Chard, Debra Audus, Jian Qin, Juan de Pablo, Ian T. Foster

Proceedings of the International Conference on Computational Science 2016, 2016

2014

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks.

Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu

Concurr. Comput. Pract. Exp., 2014

2013

ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing.

Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf

Proceedings of the 9th IEEE International Conference on eScience, 2013

2012

Collaborative monitoring and visualization of HPC data.

Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf

Proceedings of the 2012 International Conference on Collaboration Technologies and Systems, 2012

2010

EFFIS: An End-to-end Framework for Fusion Integrated Simulation.

Julian Cummings, Jay F. Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto

Proceedings of the 18th Euromicro Conference on Parallel, 2010

Collaborative monitoring and analysis for simulation scientists.

Roselyne Tchoua, Scott Klasky, Norbert Podhorszki, Brad Grimm, Ayla Khan, Emanuele Santos, Cláudio T. Silva, Pierre Mouallem, Mladen A. Vouk

Proceedings of the 2010 International Symposium on Collaborative Technologies and Systems, 2010

2009

Tracking Files in the Kepler Provenance Framework.

Pierre Mouallem, Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Mladen A. Vouk

Proceedings of the Scientific and Statistical Database Management, 2009

Enabling Advanced Visualization Tools in a Web-Based Simulation Monitoring System.

Emanuele Santos, Julien Tierny, Ayla Khan, Brad Grimm, Lauro Didier Lins, Juliana Freire, Valerio Pascucci, Cláudio T. Silva, Scott Klasky, Roselyne Barreto, Norbert Podhorszki

Proceedings of the Fifth International Conference on e-Science, 2009

Collaboration portal for petascale simulations.

Roselyne Barreto, Scott Klasky, Norbert Podhorszki, Pierre Mouallem, Mladen A. Vouk

Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems, 2009

2008

Collaborative visualization spaces for petascale simulations.

Scott Klasky, Roselyne Barreto, Ayla Khan, Manish Parashar, Norbert Podhorszki, Steven G. Parker, Deborah Silver, Mladen A. Vouk

Proceedings of the 2008 International Symposium on Collaborative Technologies and Systems, 2008

2006

Automation of Network-Based Scientific Workflows.

Mladen A. Vouk, Ilkay Altintas, Roselyne Barreto, J. Blondin, Zhengang Cheng, Terence Critchlow, Ayla Khan, Scott Klasky, J. Ligon, Bertram Ludäscher, Pierre Mouallem, Steven G. Parker, Norbert Podhorszki, Arie Shoshani, Cláudio T. Silva

Proceedings of the Grid-Based Problem Solving Environments, 2006