Victor S. Lobanov

26 papers Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2022 J jnl
A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora.
BMC Medical Informatics Decis. Mak.
Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu
2021 — conf
Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora.
ICHI
Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu
2020 — conf
Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics.
ClinicalNLP@EMNLP
Miao Chen, Ganhui Lan, Fang Du, Victor S. Lobanov
2020 — conf
Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis.
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)
Miao Chen, Fang Du, Ganhui Lan, Victor S. Lobanov
2019 J jnl
A cross-source, system-agnostic solution for clinical data review.
Database J. Biol. Databases Curation
Michael Farnum, Mathangi Ashok, Daniel Kowalski, Fang Du, Lalit Mohanty, Paul Konstant, Joseph Ciervo, Victor S. Lobanov, Dimitris K. Agrafiotis
2019 J jnl
A dimensional warehouse for integrating operational data from clinical trials.
Database J. Biol. Databases Curation
Michael Farnum, Lalit Mohanty, Mathangi Ashok, Paul Konstant, Joseph Ciervo, Victor S. Lobanov, Dimitris K. Agrafiotis
2019 J jnl
A late-binding, distributed, NoSQL warehouse for integrating patient data from clinical trials.
Database J. Biol. Databases Curation
Eric Yang, Jeremy D. Scheff, Shih C. Shen, Michael Farnum, James Sefton, Victor S. Lobanov, Dimitris K. Agrafiotis
2012 — conf
Clinical Case: Enhancing medical monitoring with visualization and analytics.
BIBM
Michael Farnum, Victor S. Lobanov, Michael Brennan, Dimitris K. Agrafiotis, Jeremy Kolpak, Joseph Ciervo, Laurent Alquier
2011 J jnl
Efficient Substructure Searching of Large Chemical Libraries: The ABCD Chemical Cartridge.
J. Chem. Inf. Model.
Dimitris K. Agrafiotis, Victor S. Lobanov, Maxim Shemanarev, Dmitrii N. Rassokhin, Sergei Izrailev, Edward P. Jaeger, Simson Alex, Michael Farnum
2011 — conf
Opening the Door to Electronic Medical Records: Using Informatics to Overcome Terabytes.
BIBM
Michael Farnum, Victor S. Lobanov, Frank J. DeFalco, Soledad Cepeda
2011 — conf
Uniting Data for Memory: Building Informatics against Alzheimer's.
BIBM
Michael Farnum, Victor S. Lobanov, Eric Yang, Tim Schultz, Rudi Verbeeck
2009 J jnl
Enhanced SAR Maps: Expanding the Data Rendering Capabilities of a Popular Medicinal Chemistry Tool.
J. Chem. Inf. Model.
Jeremy Kolpak, Peter J. Connolly, Victor S. Lobanov, Dimitris K. Agrafiotis
2007 J jnl
Advanced Biological and Chemical Discovery (ABCD): Centralizing Discovery Knowledge in an Inherently Decentralized World.
J. Chem. Inf. Model.
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
2006 J jnl
A Cluster-Based Strategy for Assessing the Overlap between Large Chemical Libraries and Its Application to a Recent Acquisition.
J. Chem. Inf. Model.
Michael F. M. Engels, Alan C. Gibbs, Edward P. Jaeger, Danny Verbinnen, Victor S. Lobanov, Dimitris K. Agrafiotis
2002 J jnl
On the Use of Neural Network Ensembles in QSAR and QSPR.
J. Chem. Inf. Comput. Sci.
Dimitris K. Agrafiotis, Walter Cedeño, Victor S. Lobanov
2001 J jnl
Multidimensional scaling and visualization of large molecular similarity tables.
J. Comput. Chem.
Dimitris K. Agrafiotis, Dmitrii N. Rassokhin, Victor S. Lobanov
2001 J jnl
Multidimensional scaling of combinatorial libraries without explicit enumeration.
J. Comput. Chem.
Dimitris K. Agrafiotis, Victor S. Lobanov
2001 J jnl
Nonlinear mapping of massive data sets by fuzzy clustering and neural networks.
J. Comput. Chem.
Dmitrii N. Rassokhin, Victor S. Lobanov, Dimitris K. Agrafiotis
2000 J jnl
Nonlinear Mapping Networks.
J. Chem. Inf. Comput. Sci.
Dimitris K. Agrafiotis, Victor S. Lobanov
2000 J jnl
Stochastic Similarity Selections from Large Combinatorial Libraries.
J. Chem. Inf. Comput. Sci.
Victor S. Lobanov, Dimitris K. Agrafiotis
2000 J jnl
Ultrafast Algorithm for Designing Focused Combinational Arrays.
J. Chem. Inf. Comput. Sci.
Dimitris K. Agrafiotis, Victor S. Lobanov
1999 J jnl
An Efficient Implementation of Distance-Based Diversity Measures Based on k-d Trees.
J. Chem. Inf. Comput. Sci.
Dimitris K. Agrafiotis, Victor S. Lobanov
1998 J jnl
Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure-Property Relationship.
J. Chem. Inf. Comput. Sci.
Alan R. Katritzky, Victor S. Lobanov, Mati Karelson
1998 J jnl
Quantitative Structure-Property Relationship (QSPR) Correlation of Glass Transition Temperatures of High Molecular Weight Polymers.
J. Chem. Inf. Comput. Sci.
Alan R. Katritzky, Sulev Sild, Victor S. Lobanov, Mati Karelson
1997 J jnl
Prediction of Melting Points for the Substituted Benzenes: A QSPR Approach.
J. Chem. Inf. Comput. Sci.
Alan R. Katritzky, Uko Maran, Mati Karelson, Victor S. Lobanov
1996 J jnl
Prediction of Polymer Glass Transition Temperatures Using a General Quantitative Structure-Property Relationship Treatment.
J. Chem. Inf. Comput. Sci.
Alan R. Katritzky, Peter Rachwal, Kam Wah Law, Mati Karelson, Victor S. Lobanov