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03/27/2023
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
Connectomics has emerged as a powerful tool in neuroimaging and has spur...
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11/09/2022
A Diffeomorphic Flow-based Variational Framework for Multi-speaker Emotion Conversion
This paper introduces a new framework for non-parallel emotion conversio...
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11/09/2022
A Comparative Study of Data Augmentation Techniques for Deep Learning Based Emotion Recognition
Automated emotion recognition in speech is a long-standing problem. Whil...
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01/19/2022
Prospective Learning: Back to the Future
Research on both natural intelligence (NI) and artificial intelligence (...
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07/11/2021
A Deep-Bayesian Framework for Adaptive Speech Duration Modification
We propose the first method to adaptively modify the duration of a given...
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05/30/2021
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes
We propose a novel matrix autoencoder to map functional connectomes from...
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01/27/2021
G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification
We propose a novel deep neural network architecture to integrate imaging...
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11/17/2020
A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity
We present a novel deep learning framework that uses dynamic functional ...
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08/27/2020
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characteri
We propose a novel integrated framework that jointly models complementar...
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08/27/2020
A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data
We propose a novel optimization framework to predict clinical severity f...
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07/25/2020
Multi-speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network
We propose a novel method for emotion conversion in speech based on a ch...
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07/25/2020
Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator
We introduce a novel method for emotion conversion in speech that does n...
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07/03/2020
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism
We propose an integrated deep-generative framework, that jointly models ...
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07/03/2020
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data
We propose a unified optimization framework that combines neural network...
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07/03/2020
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces
The problem of linking functional connectomics to behavior is extremely ...
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05/24/2018
