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08/23/2023
A Generative Approach for Image Registration of Visible-Thermal (VT) Cancer Faces
Since thermal imagery offers a unique modality to investigate pain, the ...
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07/07/2023
Novel Categories Discovery from probability matrix perspective
Novel Categories Discovery (NCD) tackles the open-world problem of class...
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06/10/2023
Vista-Morph: Unsupervised Image Registration of Visible-Thermal Facial Pairs
For a variety of biometric cross-spectral tasks, Visible-Thermal (VT) fa...
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04/14/2023
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery
Novel Categories Discovery (NCD) facilitates learning from a partially a...
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02/18/2023
When Visible-to-Thermal Facial GAN Beats Conditional Diffusion
Thermal facial imagery offers valuable insight into physiological states...
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07/12/2022
Pseudo value-based Deep Neural Networks for Multi-state Survival Analysis
Multi-state survival analysis (MSA) uses multi-state models for the anal...
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07/12/2022
FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis
Survival analysis, time-to-event analysis, is an important problem in he...
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04/07/2022
Intelligent Sight and Sound: A Chronic Cancer Pain Dataset
Cancer patients experience high rates of chronic pain throughout the tre...
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06/15/2021
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels
Thermal images reveal medically important physiological information abou...
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09/22/2020
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data
With the increased attention on thermal imagery for Covid-19 screening, ...
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05/06/2020
Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs
This paper illustrates five different techniques to assess the distincti...
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10/23/2017
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets
Deep learning models (aka Deep Neural Networks) have revolutionized many...
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06/06/2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Multivariate time series data in practical applications, such as health ...
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02/28/2016
Measuring and Predicting Tag Importance for Image Retrieval
Textual data such as tags, sentence descriptions are combined with visua...
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12/11/2015
