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Binary Classification

Papers

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Showing 401–450 of 2574 papers

TitleStatusHype
Rigorous Probabilistic Guarantees for Robust Counterfactual ExplanationsCode0
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision—0
Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions—0
Hard-Attention Gates with Gradient Routing for Endoscopic Image ComputingCode1
MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG SignalCode0
TartuNLP @ AXOLOTL-24: Leveraging Classifier Output for New Sense Detection in Lexical Semantics—0
Implicit Hypersurface Approximation Capacity in Deep ReLU Networks—0
A Critical Assessment of Interpretable and Explainable Machine Learning for Intrusion Detection—0
ACTRESS: Active Retraining for Semi-supervised Visual Grounding—0
A Contrastive Learning Based Convolutional Neural Network for ERP Brain-Computer Interfaces—0
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scansCode2
Fake News Detection and Manipulation Reasoning via Large Vision-Language Models—0
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data—0
Small Aerial Target Detection for Airborne Infrared Detection Systems using LightGBM and Trajectory Constraints—0
OxonFair: A Flexible Toolkit for Algorithmic FairnessCode1
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning—0
EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language ModelsCode0
Pairwise Difference Learning for ClassificationCode1
IndoToxic2024: A Demographically-Enriched Dataset of Hate Speech and Toxicity Types for Indonesian Language—0
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated—0
Continuous Output Personality Detection Models via Mixed Strategy Training—0
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning—0
Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics—0
Pathological Regularization Regimes in Classification TasksCode0
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language FeedbackCode1
Movement-Prediction-Adjusted Naïve Forecast—0
Challenges in Binary Classification—0
Is AI fun? HumorDB: a curated dataset and benchmark to investigate graphical humor—0
Fine-Tuning BERTs for Definition Extraction from Mathematical Text—0
Skin Cancer Images Classification using Transfer Learning Techniques—0
TREE: Tree Regularization for Efficient Execution—0
Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data—0
Is Efficient PAC Learning Possible with an Oracle That Responds 'Yes' or 'No'?—0
Probing the Decision Boundaries of In-context Learning in Large Language ModelsCode1
Retraining with Predicted Hard Labels Provably Increases Model Accuracy—0
Hyperbolic sentence representations for solving Textual Entailment—0
Biomarker based Cancer Classification using an Ensemble with Pre-trained Models—0
Learning from Natural Language Explanations for Generalizable Entity Matching—0
Improving Noise Robustness through Abstractions and its Impact on Machine Learning—0
LT4SG@SMM4H24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models—0
Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme ToxicitiesCode0
Sequential Binary Classification for Intrusion Detection—0
Novel Approach to Intrusion Detection: Introducing GAN-MSCNN-BILSTM with LIME Predictions—0
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi PartitioningCode2
LogiCode: an LLM-Driven Framework for Logical Anomaly DetectionCode1
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label ClassificationCode0
Modeling PROTAC Degradation Activity with Machine LearningCode1
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification—0
Using Constraints to Discover Sparse and Alternative Subgroup DescriptionsCode0
DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake DetectionCode1
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All datasetsfakekickstarterGlyphnet DatasetTII-SSRC-23

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