| Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding K Hundman, V Constantinou, C Laporte, I Colwell, T Soderstrom Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 1142 | 2018 |
| PyNomaly: Anomaly detection using Local Outlier Probabilities (LoOP). V Constantinou Journal of Open Source Software 3 (30), 845, 2018 | 17 | 2018 |
| Building a Wide Reach Corpus for Secure Parser Development T Allison, W Burke, V Constantinou, E Goh, C Mattmann, A Mensikova, ... | 7 | 2020 |
| Near real-time tsunami early warning system using GNSS ionospheric measurements L Martire, V Constantinou, S Krishnamoorthy, A Komjathy, P Vergados, ... AGU Fall Meeting Abstracts 2021, G45C-0415, 2021 | 5 | 2021 |
| Applicability of consumer activity monitor data in marathon events: an exploratory study V Constantinou, AE Felber, JL Chan Journal of Medical Engineering & Technology 41 (7), 534-540, 2017 | 5 | 2017 |
| Prehospital care at a mass endurance event: the Chicago marathon experience AV Goyal, V Constantinou, J Fokas, SVD Phillips, J Chan, GT Chiampas Prehospital and Disaster Medicine 32 (S1), S172-S172, 2017 | 4 | 2017 |
| An overview of Chicago (Illinois USA) marathon prehospital care demographics, patient care operations, and injury patterns JL Chan, V Constantinou, J Fokas, SVD Phillips, G Chiampas Prehospital and disaster medicine 34 (3), 308-316, 2019 | 3 | 2019 |
| Detecting anomalous invoice line items in the legal case lifecycle V Constantinou, M Kabiri arXiv preprint arXiv:2012.14511, 2020 | 2 | 2020 |
| Deep Learning Driven Detection of Tsunami Related Internal Gravity Waves: a path towards open-ocean natural hazards detection V Constantinou, M Ravanelli, H Liu, J Bortnik arXiv preprint arXiv:2308.04611, 2023 | 1 | 2023 |
| Detecting Tsunami-related Gravity Waves in Earth's Ionosphere with Convolutional Neural Networks V Constantinou, M Ravanelli, H Liu, J Bortnik AGU Fall Meeting Abstracts 2021, NH24A-04, 2021 | 1 | 2021 |
| Leveraging Deep Learning for High-Resolution Optical Satellite Imagery From Low-Cost Small Satellite Platforms V Constantinou, M Hoffmann, M Paterson, A Mezher, B Pak, A Pertica, ... Journal of Selected Topics in Applied Earth Observations and Remote Sensing …, 2024 | | 2024 |
| A Deep Learning Approach for Detection of Internal Gravity Waves in Earth’s Ionosphere JB Valentino Constantinou, Michela Ravanelli, Hamlin Liu IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing …, 2023 | | 2023 |
| Root cause analysis tool for alarms V Timmaraju, E Junkins, V Constantinou, A Mishra, S Kandasamy US Patent WO2022155376A1, 2022 | | 2022 |
| Update on ITU Focus Group on AI for Natural Disaster Management GNSS-Enhanced Tsunami Early Warning Topic Group A Komjathy, L Martire, S Krishnamoorthy, P Vergados, V Constantinou, ... Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2021 | | 2021 |
| Traveling Ionospheric Disturbances Detection With Convolutional Neural Networks: A Proof-Of-Concept With the 2012 Hawaii Earthquake and Tsunami J Bortnik, M Ravanelli, V Constantinou, H Liu Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2021 | | 2021 |
| Detecting Anomalous line-items by Modeling the Legal Case Lifecycle. V Constantinou, M Kabiri CoRR, 2020 | | 2020 |
| Telemanom: An Extensible Framework for Time-series Anomaly Detection T Soderstrom, C Mattmann, I Colwell, C Laporte, C Francis, K Hundman, ... Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2019 | | 2019 |
| Pairing NASA Capabilities and Western US Water Resource Stakeholders with Data Mining and Machine Learning CM Lee, V Constantinou, A Mishra AGU Fall Meeting 2018, 2018 | | 2018 |
| Detection and Interactive Exploration of Telemetry Anomalies V Constantinou, C Laporte AGU Fall Meeting Abstracts 2018, IN11C-0642, 2018 | | 2018 |
| Henosis: a generalizable, cloud-native Python recommender framework I Colwell, V Constantinou Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2018 | | 2018 |
Kyle HundmanData Scientist, NASA Jet Propulsion LaboratoryVerified email at jpl.nasa.gov
