Victor S. Lobanov

Publication Activity (10 Years)

Years Active: 1996-2022
Publications (10 Years): 7

Top Topics

Relation Extraction

Named Entity Recognition

Annotated Corpus

Top Venues

Database J. Biol. Databases Curation

BMC Medical Informatics Decis. Mak.

AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1)

Publications

Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu
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. 22 (3) (2022)
Jianfu Li, Qiang Wei, Omid Ghiasvand, Miao Chen, Victor S. Lobanov, Chunhua Weng, Hua Xu
Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora. ICHI (2021)
Miao Chen, Fang Du, Ganhui Lan, Victor S. Lobanov
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) (2020)
Miao Chen, Ganhui Lan, Fang Du, Victor S. Lobanov
Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics. ClinicalNLP@EMNLP (2020)
Michael Farnum, Lalit Mohanty, Mathangi Ashok, Paul Konstant, Joseph Ciervo, Victor S. Lobanov, Dimitris K. Agrafiotis
A dimensional warehouse for integrating operational data from clinical trials. Database J. Biol. Databases Curation 2019 (2019)
Michael Farnum, Mathangi Ashok, Daniel Kowalski, Fang Du, Lalit Mohanty, Paul Konstant, Joseph Ciervo, Victor S. Lobanov, Dimitris K. Agrafiotis
A cross-source, system-agnostic solution for clinical data review. Database J. Biol. Databases Curation 2019 (2019)
Eric Yang, Jeremy D. Scheff, Shih C. Shen, Michael Farnum, James Sefton, Victor S. Lobanov, Dimitris K. Agrafiotis
A late-binding, distributed, NoSQL warehouse for integrating patient data from clinical trials. Database J. Biol. Databases Curation 2019 (2019)
Michael Farnum, Victor S. Lobanov, Michael Brennan, Dimitris K. Agrafiotis, Jeremy Kolpak, Joseph Ciervo, Laurent Alquier
Clinical Case: Enhancing medical monitoring with visualization and analytics. BIBM (2012)
Michael Farnum, Victor S. Lobanov, Frank Defalco, Soledad Cepeda
Opening the Door to Electronic Medical Records: Using Informatics to Overcome Terabytes. BIBM (2011)
Michael Farnum, Victor S. Lobanov, Eric Yang, Tim Schultz, Rudi Verbeeck
Uniting Data for Memory: Building Informatics against Alzheimer's. BIBM (2011)
Dimitris K. Agrafiotis, Victor S. Lobanov, Maxim Shemanarev, Dmitrii N. Rassokhin, Sergei Izrailev, Edward P. Jaeger, Simson Alex, Michael Farnum
Efficient Substructure Searching of Large Chemical Libraries: The ABCD Chemical Cartridge. J. Chem. Inf. Model. 51 (12) (2011)
Jeremy Kolpak, Peter J. Connolly, Victor S. Lobanov, Dimitris K. Agrafiotis
Enhanced SAR Maps: Expanding the Data Rendering Capabilities of a Popular Medicinal Chemistry Tool. J. Chem. Inf. Model. 49 (10) (2009)
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
Advanced Biological and Chemical Discovery (ABCD): Centralizing Discovery Knowledge in an Inherently Decentralized World. J. Chem. Inf. Model. 47 (6) (2007)
Michael F. M. Engels, Alan C. Gibbs, Edward P. Jaeger, Danny Verbinnen, Victor S. Lobanov, Dimitris K. Agrafiotis
A Cluster-Based Strategy for Assessing the Overlap between Large Chemical Libraries and Its Application to a Recent Acquisition. J. Chem. Inf. Model. 46 (6) (2006)
Dimitris K. Agrafiotis, Walter Cedeño, Victor S. Lobanov
On the Use of Neural Network Ensembles in QSAR and QSPR. J. Chem. Inf. Comput. Sci. 42 (4) (2002)
Dmitrii N. Rassokhin, Victor S. Lobanov, Dimitris K. Agrafiotis
Nonlinear mapping of massive data sets by fuzzy clustering and neural networks. J. Comput. Chem. 22 (4) (2001)
Dimitris K. Agrafiotis, Victor S. Lobanov
Multidimensional scaling of combinatorial libraries without explicit enumeration. J. Comput. Chem. 22 (14) (2001)
Dimitris K. Agrafiotis, Dmitrii N. Rassokhin, Victor S. Lobanov
Multidimensional scaling and visualization of large molecular similarity tables. J. Comput. Chem. 22 (5) (2001)
Dimitris K. Agrafiotis, Victor S. Lobanov
Nonlinear Mapping Networks. J. Chem. Inf. Comput. Sci. 40 (6) (2000)
Dimitris K. Agrafiotis, Victor S. Lobanov
Ultrafast Algorithm for Designing Focused Combinational Arrays. J. Chem. Inf. Comput. Sci. 40 (4) (2000)
Victor S. Lobanov, Dimitris K. Agrafiotis
Stochastic Similarity Selections from Large Combinatorial Libraries. J. Chem. Inf. Comput. Sci. 40 (2) (2000)
Dimitris K. Agrafiotis, Victor S. Lobanov
An Efficient Implementation of Distance-Based Diversity Measures Based on k-d Trees. J. Chem. Inf. Comput. Sci. 39 (1) (1999)
Alan R. Katritzky, Victor S. Lobanov, Mati Karelson
Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure-Property Relationship. J. Chem. Inf. Comput. Sci. 38 (1) (1998)
Alan R. Katritzky, Sulev Sild, Victor S. Lobanov, Mati Karelson
Quantitative Structure-Property Relationship (QSPR) Correlation of Glass Transition Temperatures of High Molecular Weight Polymers. J. Chem. Inf. Comput. Sci. 38 (2) (1998)
Alan R. Katritzky, Uko Maran, Mati Karelson, Victor S. Lobanov
Prediction of Melting Points for the Substituted Benzenes: A QSPR Approach. J. Chem. Inf. Comput. Sci. 37 (5) (1997)
Alan R. Katritzky, Peter Rachwal, Kam Wah Law, Mati Karelson, Victor S. Lobanov
Prediction of Polymer Glass Transition Temperatures Using a General Quantitative Structure-Property Relationship Treatment. J. Chem. Inf. Comput. Sci. 36 (4) (1996)