Cover Image

Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ayers, Jacob Glenn, Ramanan, Buvaneswari A., Khan, Manzoor A.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks
by: Wang, Song, et al.
Published: (2025)

Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
by: Zamzmi, Ghada, et al.
Published: (2024)

FQPDR: Federated Quantum Neural Network for Privacy-preserving Early Detection of Diabetic Retinopathy
by: De, Debashis, et al.
Published: (2026)

Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images
by: Dumaev, Rinat I., et al.
Published: (2024)

Dense-Sparse Deep Convolutional Neural Networks Training for Image Denoising
by: Alawode, Basit O., et al.
Published: (2021)

FSSC: Federated Learning of Transformer Neural Networks for Semantic Image Communication
by: Yan, Yuna, et al.
Published: (2024)

ChiNet: Deep Recurrent Convolutional Learning for Multimodal Spacecraft Pose Estimation
by: Rondao, Duarte, et al.
Published: (2021)

Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
by: Aghabagherloo, Alireza, et al.
Published: (2025)

Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks
by: Liu, Mujie, et al.
Published: (2025)

Physics-Informed Neural Networks vs. Physics Models for Non-Invasive Glucose Monitoring: A Comparative Study Under Noise-Stressed Synthetic Conditions
by: Gani, Riyaadh
Published: (2025)

A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural Networks
by: Sebastianelli, Alessandro, et al.
Published: (2021)

From Load Tests to Live Streams: Graph Embedding-Based Anomaly Detection in Microservice Architectures
by: Madabhushi, Srinidhi, et al.
Published: (2026)

Pediatric Appendicitis Detection from Ultrasound Images
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
by: Huang, Wenqi, et al.
Published: (2024)

OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection
by: Pinon, Nicolas, et al.
Published: (2025)

Left Atrial Segmentation with nnU-Net Using MRI
by: Hosseinabadi, Fatemeh, et al.
Published: (2025)

Distributional Drift Detection in Medical Imaging with Sketching and Fine-Tuned Transformer
by: Wu, Yusen, et al.
Published: (2024)

Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
by: Menges, Daniel, et al.
Published: (2024)

SurgeryLSTM: A Time-Aware Neural Model for Accurate and Explainable Length of Stay Prediction After Spine Surgery
by: Cho, Ha Na, et al.
Published: (2025)

Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms
by: Pokharel, Atit, et al.
Published: (2024)

RINN: One Sample Radio Frequency Imaging based on Physics Informed Neural Network
by: Shang, Fei, et al.
Published: (2025)

Pigment Network Detection and Classification in Dermoscopic Images Using Directional Imaging Algorithms and Convolutional Neural Networks
by: Rasel, M. A., et al.
Published: (2026)

An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
by: Saadatinia, Mehrshad, et al.
Published: (2023)

AI-Based Detection of Temporal Changes in MR-Linac Images Acquired During Routine Prostate Radiotherapy
by: Park, Seungbin, et al.
Published: (2026)

Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations
by: Zhao, Zhuowen, et al.
Published: (2024)

Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach
by: Xi, Pei, et al.
Published: (2024)

DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks
by: Squires, Matthew, et al.
Published: (2024)

TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks
by: Kiechle, Johannes, et al.
Published: (2025)

HOTSPOT-YOLO: A Lightweight Deep Learning Attention-Driven Model for Detecting Thermal Anomalies in Drone-Based Solar Photovoltaic Inspections
by: Dhimish, Mahmoud
Published: (2025)

Efficient Sequential Neural Network with Spatial-Temporal Attention and Linear LSTM for Robust Lane Detection Using Multi-Frame Images
by: Patil, Sandeep, et al.
Published: (2026)

Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI
by: Ahmed, Maryam, et al.
Published: (2024)

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs
by: Durso-Finley, Joshua, et al.
Published: (2024)

Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
by: Han, Tae-Seong, et al.
Published: (2025)

Introducing the Biomechanics-Function Relationship in Glaucoma: Improved Visual Field Loss Predictions from intraocular pressure-induced Neural Tissue Strains
by: Chuangsuwanich, Thanadet, et al.
Published: (2024)

A Two-Stage Strategy for Mitosis Detection Using Improved YOLO11x Proposals and ConvNeXt Classification
by: Xiao, Jie, et al.
Published: (2025)

Underwater Image Enhancement by Convolutional Spiking Neural Networks
by: Sudevan, Vidya, et al.
Published: (2025)

Physics-Guided Conditional Diffusion Networks for Microwave Image Reconstruction
by: Chehelgami, Shirin, et al.
Published: (2025)

Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion
by: Wei, Xinxu, et al.
Published: (2024)

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
by: Zhang, Xiaoge, et al.
Published: (2024)

Fully Differentiable dMRI Streamline Propagation in PyTorch
by: Yoon, Jongyeon, et al.
Published: (2025)