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Robust classification

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Showing 51–100 of 295 papers

TitleStatusHype
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks—0
A Hilbert Space of Stationary Ergodic Processes—0
Homotopy Continuation Approaches for Robust SV Classification and Regression—0
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification—0
AI-Augmented Thyroid Scintigraphy for Robust Classification—0
CEM-FBGTinyDet: Context-Enhanced Foreground Balance with Gradient Tuning for tiny Objects—0
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation—0
Calibrated Surrogate Losses for Adversarially Robust Classification—0
GReAT: A Graph Regularized Adversarial Training Method—0
Classification of Firn Data via Topological Features—0
Improved Sample Complexities for Deep Neural Networks and Robust Classification via an All-Layer Margin—0
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification—0
CAGE: Probing Causal Relationships in Deep Generative Models—0
Heart Sound Segmentation Using Deep Learning Techniques—0
Image Classification and Retrieval from User-Supplied Tags—0
Integer Programming-based Error-Correcting Output Code Design for Robust Classification—0
Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes—0
A General Framework for Multi-focal Image Classification and Authentication: Application to Microscope Pollen Images—0
GAT: Generative Adversarial Training for Adversarial Example Detection and Classification—0
Adversarial Examples and Metrics—0
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort—0
Functional Nonlinear Sparse Models—0
Generative Robust Classification—0
A Symmetric Loss Perspective of Reliable Machine Learning—0
A Supervised Low-Rank Method for Learning Invariant Subspaces—0
Machine Learning Approaches to Vocal Register Classification in Contemporary Male Pop Music—0
Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification—0
Deep-RBF Networks Revisited: Robust Classification with Rejection—0
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias—0
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification—0
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction—0
A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity—0
Detecting Calls to Action in Multimodal Content: Analysis of the 2021 German Federal Election Campaign on Instagram—0
Gradient Concealment: Free Lunch for Defending Adversarial Attacks—0
Generating Hard Examples for Pixel-wise Classification—0
Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets—0
A Finer Calibration Analysis for Adversarial Robustness—0
Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification—0
Does Adversarial Oversampling Help us?—0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding—0
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features—0
Double Backpropagation for Training Autoencoders against Adversarial Attack—0
Decoding visemes: improving machine lipreading—0
Efficient and Robust Classification for Sparse Attacks—0
FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks—0
Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding—0
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling—0
Extended target tracking utilizing machine-learning software -- with applications to animal classification—0
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections—0
Data-Driven Mitigation of Adversarial Text Perturbation—0
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