Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. - Kyle Hundman; Valentino Constantinou; Christopher Laporte; Ian Colwell; Tom Söderström (KDD, 2018)

PyNomaly: Anomaly detection using Local Outlier Probabilities (LoOP). - Valentino Constantinou (J. Open Source Softw., 2018)

Research Report: Building a Wide Reach Corpus for Secure Parser Development. - Tim Allison; Wayne Burke; Valentino Constantinou; Edwin Goh; Chris Mattmann; Anastasija Mensikova; Philip Southam; Ryan Stonebraker; Virisha Timmaraju (SP (Workshops), 2020)

Detecting Anomalous line-items by Modeling the Legal Case Lifecycle. - Valentino Constantinou; Mori Kabiri (CoRR, 2020)

Deep Learning Driven Detection of Tsunami Related Internal Gravity Waves: a path towards open-ocean natural hazards detection. - Valentino Constantinou; Michela Ravanelli; Hamlin Liu; Jacob Bortnik (ICCV (Workshops), 2023)

A Deep Learning Approach for Detection of Internal Gravity Waves in Earth's Ionosphere. - Valentino Constantinou; Michela Ravanelli; Hamlin Liu; Jacob Bortnik (IGARSS, 2023)

Deep Learning Driven Detection of Tsunami Related Internal GravityWaves: a path towards open-ocean natural hazards detection. - Valentino Constantinou; Michela Ravanelli; Hamlin Liu; Jacob Bortnik (CoRR, 2023)

Leveraging Deep Learning for High-Resolution Optical Satellite Imagery From Low-Cost Small Satellite Platforms. - Valentino Constantinou; Mark Hoffmann; Matthew Paterson; Ali Mezher; Brian Pak; Alexander Pertica; Emily Milne (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)