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)

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)

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)

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)

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)

Ultrafast Algorithm for Designing Focused Combinational Arrays. - Dimitris K. Agrafiotis; Victor S. Lobanov (J. Chem. Inf. Comput. Sci., 2000)

Nonlinear Mapping Networks. - Dimitris K. Agrafiotis; Victor S. Lobanov (J. Chem. Inf. Comput. Sci., 2000)

Stochastic Similarity Selections from Large Combinatorial Libraries. - Victor S. Lobanov; Dimitris K. Agrafiotis (J. Chem. Inf. Comput. Sci., 2000)

Multidimensional scaling of combinatorial libraries without explicit enumeration. - Dimitris K. Agrafiotis; Victor S. Lobanov (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)

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)

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)

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)

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; et al. (J. Chem. Inf. Model., 2007)

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)

Opening the Door to Electronic Medical Records: Using Informatics to Overcome Terabytes. - Michael Farnum; Victor S. Lobanov; Frank J. DeFalco; Soledad Cepeda (BIBM, 2011)

Uniting Data for Memory: Building Informatics against Alzheimer's. - Michael Farnum; Victor S. Lobanov; Eric Yang; Tim Schultz; Rudi Verbeeck (BIBM, 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)

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 (BIBM, 2012)

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)

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 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)

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 (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 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 (ClinicalNLP@EMNLP, 2020)

Study of Pre-trained Language Models for Named Entity Recognition in Clinical Trial Eligibility Criteria from Multiple Corpora. - Jianfu Li; Qiang Wei 002; Omid Ghiasvand; Miao Chen; Victor S. Lobanov; Chunhua Weng; Hua Xu 001 (ICHI, 2021)

A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora. - Jianfu Li; Qiang Wei 002; Omid Ghiasvand; Miao Chen; Victor S. Lobanov; Chunhua Weng; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2022)