| A comparison of machine learning methods for predicting the compressive strength of field-placed concrete WVSIII Mikaela A. DeRousseau, Emil Laftchiev, Joseph R. Kasprzyk, Balaji ... Construction and Building Materials 228, 2019 | 160 | 2019 |
| An IoT system to estimate personal thermal comfort E Laftchiev, D Nikovski 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 672-677, 2016 | 68 | 2016 |
| Vehicle localization using in-vehicle pitch data and dynamical models EI Laftchiev, CM Lagoa, SN Brennan IEEE Transactions on Intelligent Transportation Systems 16 (1), 206-220, 2014 | 47 | 2014 |
| A Transfer Active Learning Framework to Predict Thermal Comfort EL Annamalai Natarajan International Journal of Prognostics and Health Management 10 (Sp. Iss. PHM …, 2019 | 19 | 2019 |
| Terrain-based vehicle localization from real-time data using dynamical models E Laftchiev, C Lagoa, S Brennan 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 3366-3371, 2012 | 14 | 2012 |
| Predictive classification of future operations D Jha, W Zhang, E Laftchiev, D Nikovski US Patent 10,996,664, 2021 | 12 | 2021 |
| Multi-label prediction in time series data using deep neural networks W Zhang, DK Jha, E Laftchiev, D Nikovski arXiv preprint arXiv:2001.10098, 2020 | 11 | 2020 |
| Semi-supervised transfer learning using marginal predictors AA Deshmukh, E Laftchiev 2018 IEEE Data Science Workshop (DSW), 160-164, 2018 | 10 | 2018 |
| Systems and methods for advance anomaly detection in a discrete manufacturing process with a task performed by a human-robot team E Laftchiev, D Romeres US Patent 11,442,429, 2022 | 9 | 2022 |
| System and method for personalized thermal comfort control S Nabi, E Laftchiev, P Grover US Patent 11,788,755, 2023 | 8 | 2023 |
| Finding multidimensional patterns in multidimensional time series E Laftchiev, Y Liu KDD workshop on MiLeTS 18, 2018 | 8 | 2018 |
| Robust Map Design by Outlier Point Selection for Terrain-Based Vehicle Localization E Laftchiev, C Lagoa, S Brennan IEEE Conference on Decision and Control, 2013 | 8 | 2013 |
| Personalizing individual comfort in the group setting E Laftchiev, D Romeres, D Nikovski Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15339 …, 2021 | 6 | 2021 |
| Robust data map design using chance constrained optimization E Laftchiev, C Lagoa, S Brennan 2014 American Control Conference, 4573-4580, 2014 | 4 | 2014 |
| Dynamic Thermal Comfort Optimization for Groups E Laftchiev, D Romeres, D Nikovski 2021 American Control Conference (ACC), 1456-1463, 2021 | 3 | 2021 |
| Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. E Laftchiev, X Sun, HA Dau, D Nikovski DX, 2018 | 3 | 2018 |
| Robust dynamical model-based data representations and structuring of time series data for in-sequence localization E Laftchiev The Pennsylvania State University, 2015 | 2 | 2015 |
| Multi-Attribute Data Dynamics Discontinuity Identification: An Over-Bounding approach using One-Dimensional Probabilistic Constraints E Laftchiev, C Lagoa, S Brennan The Pennsylvania State University College of Engineering Research Symposium …, 2014 | 2 | 2014 |
| Robust Map Design for Terrain-Based Vehicle Localization E Laftchiev, C Lagoa, S Brennan The Pennsylvania State University College of Engineering Research Symposium …, 2013 | 2 | 2013 |
| Systems and methods automatic anomaly detection in mixed human-robot manufacturing processes E Laftchiev, D Romeres US Patent 11,472,028, 2022 | 1 | 2022 |
Daniel NikovskiChief Scientist, Mitsubishi Electric Research Labs在 merl.com 的电子邮件经过验证
