Victor S. Lobanov

According to our database, Victor S. Lobanov authored at least 26 papers between 1996 and 2022.

Collaborative distances:

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

2022

A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora.

Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu

BMC Medical Informatics Decis. Mak., 2022

2021

Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora.

Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics.

Miao Chen, Ganhui Lan, Fang Du, Victor S. Lobanov

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis.

Miao Chen, Fang Du, Ganhui Lan, Victor S. Lobanov

Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, 2020

2019

A late-binding, distributed, NoSQL warehouse for integrating patient data from clinical trials.

Eric Yang, Jeremy D. Scheff, Shih C. Shen, Michael Farnum, James Sefton, Victor S. Lobanov, Dimitris K. Agrafiotis

Database J. Biol. Databases Curation, 2019

A dimensional warehouse for integrating operational data from clinical trials.

Michael Farnum, Lalit Mohanty, Mathangi Ashok, Paul Konstant, Joseph Ciervo, Victor S. Lobanov, Dimitris K. Agrafiotis

Database J. Biol. Databases Curation, 2019

A cross-source, system-agnostic solution for clinical data review.

Michael Farnum, Mathangi Ashok, Daniel Kowalski, Fang Du, Lalit Mohanty, Paul Konstant, Joseph Ciervo, Victor S. Lobanov, Dimitris K. Agrafiotis

Database J. Biol. Databases Curation, 2019

2012

Clinical Case: Enhancing medical monitoring with visualization and analytics.

Michael Farnum, Victor S. Lobanov, Michael Brennan, Dimitris K. Agrafiotis, Jeremy Kolpak, Joseph Ciervo, Laurent Alquier

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Efficient Substructure Searching of Large Chemical Libraries: The ABCD Chemical Cartridge.

Dimitris K. Agrafiotis, Victor S. Lobanov, Maxim Shemanarev, Dmitrii N. Rassokhin, Sergei Izrailev, Edward P. Jaeger, Simson Alex, Michael Farnum

J. Chem. Inf. Model., 2011

Uniting Data for Memory: Building Informatics against Alzheimer's.

Michael Farnum, Victor S. Lobanov, Eric Yang, Tim Schultz, Rudi Verbeeck

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

Opening the Door to Electronic Medical Records: Using Informatics to Overcome Terabytes.

Michael Farnum, Victor S. Lobanov, Frank J. DeFalco, Soledad Cepeda

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2009

Enhanced SAR Maps: Expanding the Data Rendering Capabilities of a Popular Medicinal Chemistry Tool.

Jeremy Kolpak, Peter J. Connolly, Victor S. Lobanov, Dimitris K. Agrafiotis

J. Chem. Inf. Model., 2009

2007

Advanced Biological and Chemical Discovery (ABCD): Centralizing Discovery Knowledge in an Inherently Decentralized World.

Dimitris K. Agrafiotis, Simson Alex, Heng Dai, An Derkinderen, Michael Farnum, Peter Gates, Sergei Izrailev, Edward P. Jaeger, Paul Konstant, Albert Leung, Victor S. Lobanov, Patrick Marichal, Douglas Martin, Dmitrii N. Rassokhin, Maxim Shemanarev, Andrew Skalkin, John Stong, Tom Tabruyn, Marleen Vermeiren, Jackson S. Wan, Xiang-Yang Xu, Xiang Yao

J. Chem. Inf. Model., 2007

2006

A Cluster-Based Strategy for Assessing the Overlap between Large Chemical Libraries and Its Application to a Recent Acquisition.

Michael F. M. Engels, Alan C. Gibbs, Edward P. Jaeger, Danny Verbinnen, Victor S. Lobanov, Dimitris K. Agrafiotis

J. Chem. Inf. Model., 2006

2002

On the Use of Neural Network Ensembles in QSAR and QSPR.

Dimitris K. Agrafiotis, Walter Cedeño, Victor S. Lobanov

J. Chem. Inf. Comput. Sci., 2002

2001

Nonlinear mapping of massive data sets by fuzzy clustering and neural networks.

Dmitrii N. Rassokhin, Victor S. Lobanov, Dimitris K. Agrafiotis

J. Comput. Chem., 2001

Multidimensional scaling and visualization of large molecular similarity tables.

Dimitris K. Agrafiotis, Dmitrii N. Rassokhin, Victor S. Lobanov

J. Comput. Chem., 2001

Multidimensional scaling of combinatorial libraries without explicit enumeration.

Dimitris K. Agrafiotis, Victor S. Lobanov

J. Comput. Chem., 2001

2000

Stochastic Similarity Selections from Large Combinatorial Libraries.

Victor S. Lobanov, Dimitris K. Agrafiotis

J. Chem. Inf. Comput. Sci., 2000

Nonlinear Mapping Networks.

Dimitris K. Agrafiotis, Victor S. Lobanov

J. Chem. Inf. Comput. Sci., 2000

Ultrafast Algorithm for Designing Focused Combinational Arrays.

Dimitris K. Agrafiotis, Victor S. Lobanov

J. Chem. Inf. Comput. Sci., 2000

1999

An Efficient Implementation of Distance-Based Diversity Measures Based on k-d Trees.

Dimitris K. Agrafiotis, Victor S. Lobanov

J. Chem. Inf. Comput. Sci., 1999

1998

Quantitative Structure-Property Relationship (QSPR) Correlation of Glass Transition Temperatures of High Molecular Weight Polymers.

Alan R. Katritzky, Sulev Sild, Victor S. Lobanov, Mati Karelson

J. Chem. Inf. Comput. Sci., 1998

Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure-Property Relationship.

Alan R. Katritzky, Victor S. Lobanov, Mati Karelson

J. Chem. Inf. Comput. Sci., 1998

1997

Prediction of Melting Points for the Substituted Benzenes: A QSPR Approach.

Alan R. Katritzky, Uko Maran, Mati Karelson, Victor S. Lobanov

J. Chem. Inf. Comput. Sci., 1997

1996

Prediction of Polymer Glass Transition Temperatures Using a General Quantitative Structure-Property Relationship Treatment.

Alan R. Katritzky, Peter Rachwal, Kam Wah Law, Mati Karelson, Victor S. Lobanov

J. Chem. Inf. Comput. Sci., 1996