Deep learning for autism detection using clinical notes: A comparison of transfer learning for a transparent and black-box approach
Fuente:
arXiv
Saved in:
| Main Authors: | Leroy, Gondy, Bisht, Prakash, Kandula, Sai Madhuri, Maltman, Nell, Rice, Sydney |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024)
by: Fung, Samy Wu, et al.
Published: (2024)
Deep learning four decades of human migration
by: Gaskin, Thomas, et al.
Published: (2025)
by: Gaskin, Thomas, et al.
Published: (2025)
Marrying Compressed Sensing and Deep Signal Separation
by: Hickok, Truman, et al.
Published: (2024)
by: Hickok, Truman, et al.
Published: (2024)
Embracing the black box: Heading towards foundation models for causal discovery from time series data
by: Stein, Gideon, et al.
Published: (2024)
by: Stein, Gideon, et al.
Published: (2024)
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability
by: Boros, Dániel, et al.
Published: (2024)
by: Boros, Dániel, et al.
Published: (2024)
Segmentation of cracks in 3d images of fiber reinforced concrete using deep learning
by: Nowacka, Anna, et al.
Published: (2025)
by: Nowacka, Anna, et al.
Published: (2025)
A supervised deep learning method for nonparametric density estimation
by: Bos, Thijs, et al.
Published: (2023)
by: Bos, Thijs, et al.
Published: (2023)
Deep learning interpretability for rough volatility
by: Yuan, Bo, et al.
Published: (2024)
by: Yuan, Bo, et al.
Published: (2024)
RLGT: A reinforcement learning framework for extremal graph theory
by: Damnjanović, Ivan, et al.
Published: (2026)
by: Damnjanović, Ivan, et al.
Published: (2026)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)
by: Yamchote, Phaphontee, et al.
Published: (2025)
Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
by: Pavlov, Gorgi
Published: (2026)
by: Pavlov, Gorgi
Published: (2026)
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
by: Bastounis, Alexander, et al.
Published: (2023)
by: Bastounis, Alexander, et al.
Published: (2023)
Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
by: Buyukcakir, Barkin, et al.
Published: (2025)
by: Buyukcakir, Barkin, et al.
Published: (2025)
ECALL: Expectation-calibrated learning for unsupervised blind deconvolution
by: Haltmeier, Markus, et al.
Published: (2024)
by: Haltmeier, Markus, et al.
Published: (2024)
A Hybrid Deep Learning and Anomaly Detection Framework for Real-Time Malicious URL Classification
by: Khaled, Berkani, et al.
Published: (2025)
by: Khaled, Berkani, et al.
Published: (2025)
Differentially private federated learning for localized control of infectious disease dynamics
by: Kerkouche, Raouf, et al.
Published: (2025)
by: Kerkouche, Raouf, et al.
Published: (2025)
Deep generative models as the probability transformation functions
by: Bondar, Vitalii, et al.
Published: (2025)
by: Bondar, Vitalii, et al.
Published: (2025)
Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography
by: Zhou, Qingping, et al.
Published: (2023)
by: Zhou, Qingping, et al.
Published: (2023)
Your contrastive learning problem is secretly a distribution alignment problem
by: Chen, Zihao, et al.
Published: (2025)
by: Chen, Zihao, et al.
Published: (2025)
Nonlinear GENERIC Informed Neural Networks (N-GINNs): learning GENERIC dynamics with non-quadratic dissipation potentials
by: Votruba, Vojtěch, et al.
Published: (2026)
by: Votruba, Vojtěch, et al.
Published: (2026)
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization
by: Qin, Zhou, et al.
Published: (2024)
by: Qin, Zhou, et al.
Published: (2024)
Transportation mode recognition based on low-rate acceleration and location signals with an attention-based multiple-instance learning network
by: Siargkas, Christos, et al.
Published: (2024)
by: Siargkas, Christos, et al.
Published: (2024)
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
by: Chizat, Lénaïc, et al.
Published: (2023)
by: Chizat, Lénaïc, et al.
Published: (2023)
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
by: Brännvall, Rickard, et al.
Published: (2023)
by: Brännvall, Rickard, et al.
Published: (2023)
Deep Learning and Transfer Learning Architectures for English Premier League Player Performance Forecasting
by: Frees, Daniel, et al.
Published: (2024)
by: Frees, Daniel, et al.
Published: (2024)
Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification
by: Yang, Murong, et al.
Published: (2025)
by: Yang, Murong, et al.
Published: (2025)
Control randomisation approach for policy gradient and application to reinforcement learning in optimal switching
by: Denkert, Robert, et al.
Published: (2024)
by: Denkert, Robert, et al.
Published: (2024)
Teaching and Learning under Deductive Errors
by: Telle, Jan Arne, et al.
Published: (2026)
by: Telle, Jan Arne, et al.
Published: (2026)
Mathematical analysis of the gradients in deep learning
by: Dereich, Steffen, et al.
Published: (2025)
by: Dereich, Steffen, et al.
Published: (2025)
Perch 2.0 transfers 'whale' to underwater tasks
by: Burns, Andrea, et al.
Published: (2025)
by: Burns, Andrea, et al.
Published: (2025)
Physics-consistent machine learning: output projection onto physical manifolds
by: Valente, Matilde, et al.
Published: (2025)
by: Valente, Matilde, et al.
Published: (2025)
Scientific machine learning for closure models in multiscale problems: a review
by: Sanderse, Benjamin, et al.
Published: (2024)
by: Sanderse, Benjamin, et al.
Published: (2024)
Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks
by: Adcock, Ben, et al.
Published: (2022)
by: Adcock, Ben, et al.
Published: (2022)
Application of deep learning approaches for medieval historical documents transcription
by: Voloshchuk, Maksym, et al.
Published: (2025)
by: Voloshchuk, Maksym, et al.
Published: (2025)
A deep learning approach to track eye movements based on events
by: Seth, Chirag, et al.
Published: (2025)
by: Seth, Chirag, et al.
Published: (2025)
Understanding the geometry of deep learning with decision boundary volume
by: Burfitt, Matthew, et al.
Published: (2026)
by: Burfitt, Matthew, et al.
Published: (2026)
Unveiling the frontiers of deep learning: innovations shaping diverse domains
by: Ahmed, Shams Forruque, et al.
Published: (2023)
by: Ahmed, Shams Forruque, et al.
Published: (2023)
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning
by: Françani, André O., et al.
Published: (2024)
by: Françani, André O., et al.
Published: (2024)
On Memory: A comparison of memory mechanisms in world models
by: Laird, Eli J., et al.
Published: (2025)
by: Laird, Eli J., et al.
Published: (2025)
Queue up for takeoff: a transferable deep learning framework for flight delay prediction
by: Aghanya, Nnamdi Daniel, et al.
Published: (2025)
by: Aghanya, Nnamdi Daniel, et al.
Published: (2025)
Similar Items
-
A Generalization Bound for a Family of Implicit Networks
by: Fung, Samy Wu, et al.
Published: (2024) -
Deep learning four decades of human migration
by: Gaskin, Thomas, et al.
Published: (2025) -
Marrying Compressed Sensing and Deep Signal Separation
by: Hickok, Truman, et al.
Published: (2024) -
Embracing the black box: Heading towards foundation models for causal discovery from time series data
by: Stein, Gideon, et al.
Published: (2024) -
Deep learning the Hurst parameter of linear fractional processes and assessing its reliability
by: Boros, Dániel, et al.
Published: (2024)