Epps, J.[Julien]
* 2006: Speaker Verification Using A Novel Set of Dynamic Features
* 2008: Digital Signal Processing Techniques for Gene Finding in Eukaryotes
* 2010: Study of Voice Source and Vocal Tract Filter Based Features in Cognitive Load Classification, A
* 2013: Mental Workload Classification via Online Writing Features
* 2014: Efficient and Robust Pupil Size and Blink Estimation From Near-Field Video Sequences for Human-Machine Interaction
* 2016: Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing, The
* 2018: Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviors
* 2020: Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech
* 2020: Investigation of Partition-Based and Phonetically-Aware Acoustic Features for Continuous Emotion Prediction from Speech, An
* 2021: Task Load Estimation from Multimodal Head-Worn Sensors Using Event Sequence Features
* 2022: Investigation of Speech Landmark Patterns for Depression Detection
* 2022: Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition
* 2023: High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis, A
* 2023: Ordinal Logistic Regression With Partial Proportional Odds for Depression Prediction
Includes: Epps, J.[Julien] Epps, J.
14 for Epps, J.
Eppstein, D.[David]
* 1998: Crust and the -Skeleton: Combinatorial Curve Reconstruction, The
* 2009: Approximate topological matching of quad meshes
* 2017: Algorithms for Stable Matching and Clustering in a Grid
Eppstein, M.J.
* 2001: Three-dimensional Bayesian optical image reconstruction with domain decomposition
* 2003: comparison of exact and approximate adjoint sensitivities in fluorescence tomography, A