Victor S. Lobanov - researchr alias

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Viewing Publication 1 - 25 from 25

2022

A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corporaJianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu 0001. midm, 22(3):235, 2022. [doi]

2021

Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple CorporaJianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu 0001. ichi 2021: 511-512 [doi]

2020

Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical AnalyticsMiao Chen, Ganhui Lan, Fang Du, Victor S. Lobanov. acl-clinicalnlp 2020: 234-242 [doi]

Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol AnalysisMiao Chen, Fang Du, Ganhui Lan, Victor S. Lobanov. aaaiss 2020: [doi]

2019

2012

Clinical Case: Enhancing medical monitoring with visualization and analyticsMichael Farnum, Victor S. Lobanov, Michael Brennan, Dimitris K. Agrafiotis, Jeremy Kolpak, Joseph Ciervo, Laurent Alquier. bibm 2012: 1 [doi]

2011

2009

Enhanced SAR Maps: Expanding the Data Rendering Capabilities of a Popular Medicinal Chemistry ToolJeremy Kolpak, Peter J. Connolly, Victor S. Lobanov, Dimitris K. Agrafiotis. jcisd, 49(10):2221-2230, 2009. [doi]

2007

2006

A Cluster-Based Strategy for Assessing the Overlap between Large Chemical Libraries and Its Application to a Recent AcquisitionMichael F. M. Engels, Alan C. Gibbs, Edward P. Jaeger, Danny Verbinnen, Victor S. Lobanov, Dimitris K. Agrafiotis. jcisd, 46(6):2651-2660, 2006. [doi]

2002

On the Use of Neural Network Ensembles in QSAR and QSPRDimitris K. Agrafiotis, Walter Cedeño, Victor S. Lobanov. jcisd, 42(4):903-911, 2002. [doi]

2001

Multidimensional scaling and visualization of large molecular similarity tablesDimitris K. Agrafiotis, Dmitrii N. Rassokhin, Victor S. Lobanov. jcc, 22(5):488-500, 2001. [doi]

Multidimensional scaling of combinatorial libraries without explicit enumerationDimitris K. Agrafiotis, Victor S. Lobanov. jcc, 22(14):1712-1722, 2001. [doi]

2000

Nonlinear Mapping NetworksDimitris K. Agrafiotis, Victor S. Lobanov. jcisd, 40(6):1356-1362, 2000. [doi]

Ultrafast Algorithm for Designing Focused Combinational ArraysDimitris K. Agrafiotis, Victor S. Lobanov. jcisd, 40(4):1030-1038, 2000. [doi]

Stochastic Similarity Selections from Large Combinatorial LibrariesVictor S. Lobanov, Dimitris K. Agrafiotis. jcisd, 40(2):460-470, 2000. [doi]

1999

An Efficient Implementation of Distance-Based Diversity Measures Based on k-d TreesDimitris K. Agrafiotis, Victor S. Lobanov. jcisd, 39(1):51-58, 1999. [doi]

1998

Quantitative Structure-Property Relationship (QSPR) Correlation of Glass Transition Temperatures of High Molecular Weight PolymersAlan R. Katritzky, Sulev Sild, Victor S. Lobanov, Mati Karelson. jcisd, 38(2):300-304, 1998. [doi]

Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure-Property RelationshipAlan R. Katritzky, Victor S. Lobanov, Mati Karelson. jcisd, 38(1):28-41, 1998. [doi]

1997

Prediction of Melting Points for the Substituted Benzenes: A QSPR ApproachAlan R. Katritzky, Uko Maran, Mati Karelson, Victor S. Lobanov. jcisd, 37(5):913-919, 1997. [doi]

1996

Prediction of Polymer Glass Transition Temperatures Using a General Quantitative Structure-Property Relationship TreatmentAlan R. Katritzky, Peter Rachwal, Kam Wah Law, Mati Karelson, Victor S. Lobanov. jcisd, 36(4):879-884, 1996. [doi]

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