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Binary Classification

Papers

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Showing 1001–1050 of 2574 papers

TitleStatusHype
Detection of LLM-Generated Java Code Using Discretized Nested Bigrams—0
Exploiting Unlabeled Data for Neural Grammatical Error Detection—0
An Asynchronous Distributed Framework for Large-scale Learning Based on Parameter Exchanges—0
Adaptive transfer learning—0
Exploring Correlation between Labels to improve Multi-Label Classification—0
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media—0
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model—0
Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context—0
Detection of Deepfake Videos Using Long Distance Attention—0
Exploring Strategies for Personalized Radiation Therapy Part I Unlocking Response-Related Tumor Subregions with Class Activation Mapping—0
Exploring the Feasibility of AI-Assisted Spine MRI Protocol Optimization Using DICOM Image Metadata—0
Detection of COVID19 in Chest X-Ray Images Using Transfer Learning—0
Exponential convergence of testing error for stochastic gradient methods—0
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features—0
Bayesian Optimization with Tree-structured Dependencies—0
Extended and Unscented Gaussian Processes—0
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models—0
Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application—0
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection—0
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning—0
An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks—0
Facial Forgery-based Deepfake Detection using Fine-Grained Features—0
Detecting Unknown DGAs without Context Information—0
Detecting Throat Cancer from Speech Signals using Machine Learning: A Scoping Literature Review—0
Bayesian Optimal Active Search and Surveying—0
Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification—0
An Approach to Reducing Annotation Costs for BioNLP—0
Adaptive surrogate models for parametric studies—0
Achieving Small Test Error in Mildly Overparameterized Neural Networks—0
A Baseline for Self-state Identification and Classification in Mental Health Data: CLPsych 2025 Task—0
Detecting People Interested in Non-Suicidal Self-Injury on Social Media—0
Detecting Neurodegenerative Diseases using Frame-Level Handwriting Embeddings—0
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated—0
Detecting immune cells with label-free two-photon autofluorescence and deep learning—0
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels—0
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification—0
Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder—0
Balancing Fairness and Accuracy in Data-Restricted Binary Classification—0
An Analysis of Loss Functions for Binary Classification and Regression—0
Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach—0
Balanced off-policy evaluation in general action spaces—0
Detecting Anti-vaccine Content on Twitter using Multiple Message-Based Network Representations—0
Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling—0
Bad and good errors: value-weighted skill scores in deep ensemble learning—0
An Analysis of Active Learning With Uniform Feature Noise—0
Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning—0
Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks—0
Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines—0
Backdoor attacks on DNN and GBDT -- A Case Study from the insurance domain—0
Analytic Study of Double Descent in Binary Classification: The Impact of Loss—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.98—Unverified
2LightGBM + OpenAI embeddingAUROC0.97—Unverified
3FTTransformer + RoBERTa fintuneAUROC0.96—Unverified
4LightGBM + RoBERTa embeddingAUROC0.95—Unverified
5FTTransformer + RoBERTa embeddingAUROC0.94—Unverified
6ResNet + RoBERTa embeddingAUROC0.93—Unverified
7ResNet + OpenAI embeddingAUROC0.92—Unverified
8FTTransformer + OpenAI embeddingAUROC0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.81—Unverified
2Multimodal-Net All-TextAUROC0.8—Unverified
3ResNet + RoBERTa finetuneAUROC0.79—Unverified
4LightGBM + RoBERTa embeddingAUROC0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Attention based CNNF1 score0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostF1-Score98.79—Unverified