| Organic materials database: An open-access online database for data mining SS Borysov, RM Geilhufe, AV Balatsky PloS one 12 (2), e0171501, 2017 | 106 | 2017 |
| How to generate micro-agents? A deep generative modeling approach to population synthesis SS Borysov, J Rich, FC Pereira Transportation Research Part C: Emerging Technologies 106, 73-97, 2019 | 89* | 2019 |
| Band gap prediction for large organic crystal structures with machine learning B Olsthoorn, RM Geilhufe, SS Borysov, AV Balatsky Advanced Quantum Technologies 2 (7-8), 1900023, 2019 | 85 | 2019 |
| Resource demand growth and sustainability due to increased world consumption AV Balatsky, GI Balatsky, SS Borysov Sustainability 7 (3), 3430-3440, 2015 | 68 | 2015 |
| A Bayesian additive model for understanding public transport usage in special events F Rodrigues, SS Borysov, B Ribeiro, FC Pereira IEEE transactions on pattern analysis and machine intelligence 39 (11), 2113 …, 2016 | 61 | 2016 |
| Machine learning fundamentals FC Pereira, SS Borysov Mobility patterns, big data and transport analytics, 9-29, 2019 | 49 | 2019 |
| Three-dimensional organic Dirac-line materials due to nonsymmorphic symmetry: A data mining approach RM Geilhufe, A Bouhon, SS Borysov, AV Balatsky Physical Review B 95 (4), 041103, 2017 | 42 | 2017 |
| Prediction of rare feature combinations in population synthesis: Application of deep generative modelling S Garrido, SS Borysov, FC Pereira, J Rich Transportation Research Part C: Emerging Technologies 120, 102787, 2020 | 38 | 2020 |
| Data mining for three-dimensional organic dirac materials: focus on space group 19 RM Geilhufe, SS Borysov, A Bouhon, AV Balatsky Scientific reports 7 (1), 7298, 2017 | 33 | 2017 |
| Towards novel organic high- superconductors: Data mining using density of states similarity search RM Geilhufe, SS Borysov, D Kalpakchi, AV Balatsky Physical Review Materials 2 (2), 024802, 2018 | 30 | 2018 |
| US stock market interaction network as learned by the Boltzmann machine SS Borysov, Y Roudi, AV Balatsky The European Physical Journal B 88, 1-14, 2015 | 27 | 2015 |
| Determining surface properties with bimodal and multimodal AFM D Forchheimer, SS Borysov, D Platz, DB Haviland Nanotechnology 25 (48), 485708, 2014 | 20 | 2014 |
| Reconstruction of tip-surface interactions with multimodal intermodulation atomic force microscopy SS Borysov, D Platz, AS de Wijn, D Forchheimer, EA Tolén, AV Balatsky, ... Physical Review B—Condensed Matter and Materials Physics 88 (11), 115405, 2013 | 19 | 2013 |
| Deep survival modelling for shared mobility B Kostic, MP Loft, F Rodrigues, SS Borysov Transportation Research Part C: Emerging Technologies 128, 103213, 2021 | 18 | 2021 |
| Statistical field theories deformed within different calculi AI Olemskoi, SS Borysov, IA Shuda The European Physical Journal B 77, 219-231, 2010 | 18 | 2010 |
| Introducing synthetic pseudo panels: application to transport behaviour dynamics SS Borysov, J Rich Transportation 48 (5), 2493-2520, 2021 | 16 | 2021 |
| Cross-correlation asymmetries and causal relationships between stock and market risk SS Borysov, AV Balatsky PLoS One 9 (8), e105874, 2014 | 15 | 2014 |
| Predicting injury-severity for cyclist crashes using natural language processing and neural network modelling KH Janstrup, B Kostic, M Møller, F Rodrigues, S Borysov, FC Pereira Safety science 164, 106153, 2023 | 14 | 2023 |
| Machine Learning Fundamentals Mobility Patterns, Big Data and Transport Analytics FC Pereira, SS Borysov Elsevier, 2019 | 13 | 2019 |
| Online search tool for graphical patterns in electronic band structures SS Borysov, B Olsthoorn, MB Gedik, RM Geilhufe, AV Balatsky npj Computational Materials 4 (1), 46, 2018 | 9 | 2018 |
A BalatskyNordita, UConnVerified email at uconn.edu