Cover Image

Hybrid Convolutional Neural Networks with Reliability Guarantee

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Doran, Hans Dermot, Veljanovska, Suzana
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Workflow for Safe-AI
by: Veljanovska, Suzana, et al.
Published: (2025)

Performance Examination of Symbolic Aggregate Approximation in IoT Applications
by: Veljanovska, Suzana, et al.
Published: (2024)

An Early-Stage Workflow Proposal for the Generation of Safe and Dependable AI Classifiers
by: Doran, Hans Dermot, et al.
Published: (2024)

Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
by: Chen, Jiechen, et al.
Published: (2023)

Hybrid of DiffStride and Spectral Pooling in Convolutional Neural Networks
by: Rafif, Sulthan, et al.
Published: (2024)

Quantum Convolutional Neural Network: A Hybrid Quantum-Classical Approach for Iris Dataset Classification
by: Tomal, S. M. Yousuf Iqbal, et al.
Published: (2024)

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
by: Sanaullah, et al.
Published: (2024)

Clifford-Steerable Convolutional Neural Networks
by: Zhdanov, Maksim, et al.
Published: (2024)

Gradient Flow Convergence Guarantee for General Neural Network Architectures
by: Jakhmola, Yash
Published: (2025)

Regularizing Explanations in Bayesian Convolutional Neural Networks
by: Bekkemoen, Yanzhe, et al.
Published: (2021)

Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
by: Nazeri, Amirhossein, et al.
Published: (2025)

Hybrid Deep Convolutional Neural Networks Combined with Autoencoders And Augmented Data To Predict The Look-Up Table 2006
by: Djeddou, Messaoud, et al.
Published: (2024)

GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation
by: Rastakhiz, Fardin
Published: (2025)

Hybrid Convolution Neural Network Integrated with Pseudo-Newton Boosting for Lumbar Spine Degeneration Detection
by: V, Pandiyaraju, et al.
Published: (2025)

Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
by: Ma, Xinhang, et al.
Published: (2025)

Early-exit Convolutional Neural Networks
by: Demir, Edanur, et al.
Published: (2024)

HardNet: Hard-Constrained Neural Networks with Universal Approximation Guarantees
by: Min, Youngjae, et al.
Published: (2024)

Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
by: Marzari, Luca, et al.
Published: (2023)

Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
by: Dalrymple, David "davidad", et al.
Published: (2024)

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
by: He, Mingguo, et al.
Published: (2022)

Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images
by: Okonoda, Michael, et al.
Published: (2026)

A Spatio-Temporal Hybrid Quantum-Classical Graph Convolutional Neural Network Approach for Urban Taxi Destination Prediction
by: Zhang, Xiuying, et al.
Published: (2025)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
by: Dong, Pingping, et al.
Published: (2024)

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
by: He, Shenghong
Published: (2025)

Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
by: Park, Sangwoo, et al.
Published: (2025)

Using Convolutional Neural Networks for Denoising and Deblending of Marine Seismic Data
by: Slang, Sigmund, et al.
Published: (2024)

Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
by: Davila, Randy, et al.
Published: (2025)

Enhancing Deep Neural Network Reliability with Refinement and Calibration
by: Hebbalaguppe, Ramya, et al.
Published: (2026)

On-Sensor Convolutional Neural Networks with Early-Exits
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)

Analytical Calculation of Weights Convolutional Neural Network
by: Geidarov, Polad
Published: (2025)

Automatic Tongue Delineation from MRI Images with a Convolutional Neural Network Approach
by: Isaieva, Karyna, et al.
Published: (2024)

Dynamic Fusion-Aware Graph Convolutional Neural Network for Multimodal Emotion Recognition in Conversations
by: Meng, Tao, et al.
Published: (2026)

2D Ultrasound Elasticity Imaging of Abdominal Aortic Aneurysms Using Deep Neural Networks
by: Tuladhar, Utsav Ratna, et al.
Published: (2025)

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
by: Bao, Jie, et al.
Published: (2025)

R2L: Reliable Reinforcement Learning: Guaranteed Return & Reliable Policies in Reinforcement Learning
by: Farhi, Nadir
Published: (2025)

Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
by: Hamman, Faisal, et al.
Published: (2023)

Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks
by: Wang, Jihang, et al.
Published: (2025)

Reliable Extraction of Clinical Follow-Up Instructions: A Hybrid Neural-Symbolic Pipeline
by: Laufer, Michal, et al.
Published: (2026)

An AI Monkey Gets Grapes for Sure -- Sphere Neural Networks for Reliable Decision-Making
by: Dong, Tiansi, et al.
Published: (2026)

Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
by: Chen, Shaoru, et al.
Published: (2024)