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Victor S. Lobanov
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2020 – today
- 2022
- [j20]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): 235 (2022) - 2021
- [c6]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: 511-512 - 2020
- [c5]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 - [c4]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: 234-242
2010 – 2019
- 2019
- [j19]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: baz017 (2019) - [j18]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: baz032 (2019) - [j17]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: baz039 (2019) - 2012
- [c3]Michael Farnum, Victor S. Lobanov, Michael Brennan, Dimitris K. Agrafiotis
Clinical Case: Enhancing medical monitoring with visualization and analytics. BIBM 2012: 1 - 2011
- [j16]Dimitris K. Agrafiotis
Efficient Substructure Searching of Large Chemical Libraries: The ABCD Chemical Cartridge. J. Chem. Inf. Model. 51(12): 3113-3130 (2011) - [c2]Michael Farnum, Victor S. Lobanov, Frank J. DeFalco, Soledad Cepeda:
Opening the Door to Electronic Medical Records: Using Informatics to Overcome Terabytes. BIBM 2011: 659 - [c1]Michael Farnum, Victor S. Lobanov, Eric Yang, Tim Schultz, Rudi Verbeeck:
Uniting Data for Memory: Building Informatics against Alzheimer's. BIBM 2011: 660
2000 – 2009
- 2009
- [j15]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): 2221-2230 (2009) - 2007
- [j14]Dimitris K. Agrafiotis
Advanced Biological and Chemical Discovery (ABCD): Centralizing Discovery Knowledge in an Inherently Decentralized World. J. Chem. Inf. Model. 47(6): 1999-2014 (2007) - 2006
- [j13]Michael F. M. Engels, Alan C. Gibbs
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): 2651-2660 (2006) - 2002
- [j12]Dimitris K. Agrafiotis
On the Use of Neural Network Ensembles in QSAR and QSPR. J. Chem. Inf. Comput. Sci. 42(4): 903-911 (2002) - 2001
- [j11]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): 373-386 (2001) - [j10]Dimitris K. Agrafiotis, Dmitrii N. Rassokhin, Victor S. Lobanov:
Multidimensional scaling and visualization of large molecular similarity tables. J. Comput. Chem. 22(5): 488-500 (2001) - [j9]Dimitris K. Agrafiotis
Multidimensional scaling of combinatorial libraries without explicit enumeration. J. Comput. Chem. 22(14): 1712-1722 (2001) - 2000
- [j8]Victor S. Lobanov, Dimitris K. Agrafiotis:
Stochastic Similarity Selections from Large Combinatorial Libraries. J. Chem. Inf. Comput. Sci. 40(2): 460-470 (2000) - [j7]Dimitris K. Agrafiotis
Ultrafast Algorithm for Designing Focused Combinational Arrays. J. Chem. Inf. Comput. Sci. 40(4): 1030-1038 (2000) - [j6]Dimitris K. Agrafiotis
Nonlinear Mapping Networks. J. Chem. Inf. Comput. Sci. 40(6): 1356-1362 (2000)
1990 – 1999
- 1999
- [j5]Dimitris K. Agrafiotis
An Efficient Implementation of Distance-Based Diversity Measures Based on k-d Trees. J. Chem. Inf. Comput. Sci. 39(1): 51-58 (1999) - 1998
- [j4]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): 28-41 (1998) - [j3]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): 300-304 (1998) - 1997
- [j2]Alan R. Katritzky, Uko Maran
Prediction of Melting Points for the Substituted Benzenes: A QSPR Approach. J. Chem. Inf. Comput. Sci. 37(5): 913-919 (1997) - 1996
- [j1]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): 879-884 (1996)
Coauthor Index
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