| Action classification from motion capture data using topological data analysis A Dirafzoon, N Lokare, E Lobaton 2016 IEEE global conference on signal and information processing (globalSIP …, 2016 | 24 | 2016 |
| Analytic system for graphical interpretability of and improvement of machine learning models ND Lokare, JMG da Silva, IK Kabul, G Naisat US Patent 10,311,368, 2019 | 22 | 2019 |
| Activity-Aware Physiological Response Prediction Using Wearable Sensors N Lokare, B Zhong, E Lobaton Inventions 2 (Frontiers in Wearable Devices), 2017 | 12 | 2017 |
| Analytic system for feature engineering improvement to machine learning models ND Lokare, JMG da Silva, IK Kabul US Patent 10,565,528, 2020 | 9 | 2020 |
| Manifold learning approach to curve identification with applications to footprint segmentation N Lokare, Q Ge, W Snyder, Z Jewell, S Allibhai, E Lobaton Computational Intelligence for Multimedia, Signal and Vision Processing …, 2014 | 9 | 2014 |
| M-Boost: Profiling and refining deep neural networks with topological data analysis G Naitzat, N Lokare, J Silva, I Kaynar-Kabul KDD Workshop on Interactive Data Exploration and Analytics, 2018 | 6 | 2018 |
| Energy-efficient activity recognition via multiple time-scale analysis N Lokare, S Samadi, B Zhong, L Gonzalez, F Mohammadzadeh, ... 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2017 | 6 | 2017 |
| Comparing Wearable Devices with Wet and Textile Electrodes for Activity Recognition N Lokare, L Gonzalez, E Lobaton 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 6 | 2016 |
| Robust trajectory-based density estimation for geometric structure recovery T Richmond, N Lokare, E Lobaton 2017 25th European Signal Processing Conference (EUSIPCO), 1210-1204, 2017 | 3 | 2017 |
| Hierarchical activity clustering analysis for robust graphical structure recovery N Lokare, D Benavides, S Juneja, E Lobaton 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 2 | 2016 |
| Non-rigid image registration under non-deterministic deformation bounds Q Ge, N Lokare, E Lobaton 10th International Symposium on Medical Information Processing and Analysis …, 2015 | 2 | 2015 |
| Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications T Richmond, N Lokare, Q Ge, E Lobaton arXiv preprint arXiv:2210.00343, 2022 | 1 | 2022 |
| Systems, methods and apparatus for generating blood pressure estimations using real-time photoplethysmography data N Lokare, TD Tank, SF LeBoeuf, K Richeson, PM Matsumura, J Mullaney, ... US Patent App. 18/256,018, 2024 | | 2024 |
| Systems, methods and apparatus for generating blood glucose estimations using real-time photoplethysmography data N Lokare, TD Tank, SF LeBoeuf, K Richeson US Patent App. 18/256,024, 2024 | | 2024 |
| Systems, methods and apparatus for generating blood pressure estimations using real-time photoplethysmography data PM Matsumura, J Mullaney, RL Sweitzer, N Lokare, TD Tank, SF LeBoeuf US Patent App. 18/256,013, 2024 | | 2024 |
| Systems, methods and apparatus for generating biometric estimations using real-time photoplethysmography data N Lokare, TD Tank, SF LeBoeuf, K Richeson US Patent App. 18/256,027, 2024 | | 2024 |
| REFLECTION-MODE PHOTOPLETHYSMOGRAPHY FINGER SENSORS ENABLE ACCURATE TRACKING OF BLOOD PRESSURE TRENDS IN SMARTPHONES WITHOUT REQUIRING A USER CALIBRATION SF LeBoeuf, LC Eschbach, T Tank, RD Hodges, N Lokare, S Hauser, ... Journal of the American College of Cardiology 77 (18_Supplement_1), 3273-3273, 2021 | | 2021 |
| RULLS: Randomized Union of Locally Linear Subspaces for Feature Engineering N Lokare, J Silva, IK Kabul arXiv preprint arXiv:1804.09770, 2018 | | 2018 |
Edgar LobatonNorth Carolina State UniversityVerified email at ncsu.edu
