| Interactive time series exploration powered by the marriage of similarity distances R Neamtu, R Ahsan, E Rundensteiner, G Sarkozy Proceedings of the VLDB Endowment 10 (3), 169-180, 2016 | 33 | 2016 |
| Generalized dynamic time warping: Unleashing the warping power hidden in point-wise distances R Neamtu, R Ahsan, EA Rundensteiner, G Sarkozy, E Keogh, HA Dau, ... 2018 IEEE 34th International Conference on Data Engineering (ICDE), 521-532, 2018 | 26 | 2018 |
| Classifying powder flowability for cold spray additive manufacturing using machine learning R Valente, A Ostapenko, BC Sousa, J Grubbs, CJ Massar, DL Cote, ... 2020 IEEE international conference on big data (big data), 2919-2928, 2020 | 22 | 2020 |
| Using artificial intelligence for augmentative alternative communication for children with disabilities R Neamtu, A Camara, C Pereira, R Ferreira Human-Computer Interaction–INTERACT 2019: 17th IFIP TC 13 International …, 2019 | 14 | 2019 |
| Automated and refined application of convolutional neural network modeling to metallic powder particle satellite detection SE Price, MA Gleason, BC Sousa, DL Cote, R Neamtu Integrating Materials and Manufacturing Innovation 10 (4), 661-676, 2021 | 9 | 2021 |
| Interactive time series analytics powered by ONEX R Neamtu, R Ahsan, C Lovering, C Nguyen, E Rundensteiner, G Sarkozy Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 9 | 2017 |
| Ranked time series matching by interleaving similarity distances C Nguyen, C Lovering, R Neamtu 2017 IEEE International Conference on Big Data (Big Data), 3530-3539, 2017 | 8 | 2017 |
| Atopy and lifestyle survey of allergic patients from urban environment in Romania: preliminary data from an interactive qualifying project PM Leru, D Kay, J Kelly, T Tuong, T Schaeffer, B Addison, R Neamtu Cureus 13 (1), 2021 | 6 | 2021 |
| Towards brain metrics for improving multi-agent adaptive human-robot collaboration: A preliminary study A Howell-Munson, E Doherty, P Gavriel, C Nicolas, A Norton, R Neamtu, ... Proceedings of the 1st Annual Meeting of the Symposium on Human-Computer …, 2022 | 5 | 2022 |
| The impact of Big Data on making evidence-based decisions R Neamtu, C Kuhlman, R Ahsan, E Rundensteiner Frontiers in Data Science, 191-221, 2017 | 5 | 2017 |
| Clustering algorithms for nanomechanical property mapping and resultant microstructural constituent and phase quantification BC Sousa, C Viera, R Neamtu, DL Cote TMS 2022 151st annual meeting & exhibition supplemental proceedings, 713-724, 2022 | 4 | 2022 |
| Towards an interactive learn-to-rank system for economic competitiveness understanding C Kuhlman, E Rundensteiner, R Neamtu, R Ahsan, J Stokes, A Hoxha, ... KDD 2017 Interactive Data Exploration and Analytics Workshop 8, 23-25, 2017 | 4 | 2017 |
| The classroom as an extension of our society: empowering students through technology in service learning to bridge the global digital divide R Neamtu Procedia-Social and Behavioral Sciences 106, 2636-2644, 2013 | 4 | 2013 |
| Identifying, Evaluating, and Addressing Nondeterminism in Mask R-CNNs S Price, R Neamtu 3rd International Conference on Pattern Recognition and Artificial …, 2022 | 3 | 2022 |
| Towards spreadsheet integration using entity identification driven by a spatial-temporal model R Ahsan, R Neamtu, E Rundensteiner Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1083-1085, 2016 | 3 | 2016 |
| Investigating the Suitability of Tableau Dashboards and Decision Trees for Particulate Materials Science and Engineering Data Analysis BC Sousa, R Valente, A Krueger, E Schmid, DL Cote, R Neamtu TMS 2022 151st Annual Meeting & Exhibition Supplemental Proceedings, 691-701, 2022 | 2 | 2022 |
| Using entity identification and classification for automated integration of spatial-temporal data R Ahsan, R Neamtu, E Rundensteiner International Journal of Design & Nature and Ecodynamics 11 (3), 186-197, 2016 | 2 | 2016 |
| A machine learning methodology for porosity classification and process map prediction in laser powder bed fusion A Staszewska, DP Patil, AC Dixith, R Neamtu, DA Lados Progress in Additive Manufacturing, 1-11, 2023 | 1 | 2023 |
| Using machine learning for prediction of spray coated perovskite solar cells efficiency: From experimental to theoretical models R Ichwani, S Price, OK Oyewole, R Neamtu, WO Soboyejo Materials & Design 233, 112161, 2023 | 1 | 2023 |
| Multiple-instance regression for metal powder hall flow rate prediction using augmented particle size and shape data A Schuliger, S Price, BC Sousa, DL Cote, R Neamtu Powders 2 (1), 189-204, 2023 | 1 | 2023 |
