SOTAVerified

Binary Classification

Papers

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Showing 1101–1150 of 2574 papers

TitleStatusHype
Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting—0
The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw—0
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis—0
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPICode0
Machine Fault Classification using Hamiltonian Neural Networks—0
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction—0
A Loopback Network for Explainable Microvascular Invasion Classification—0
Information Transfer Rate in BCIs: Towards Tightly Integrated Symbiosis—0
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models—0
Application of Unsupervised Domain Adaptation for Structural MRI Analysis—0
Content Rating Classification for Fan Fiction—0
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection—0
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic MethodsCode0
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media—0
Interpretable ML for Imbalanced DataCode0
Improving group robustness under noisy labels using predictive uncertainty—0
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification—0
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial DetectionCode0
MaNLP@SMM4H22: BERT for Classification of Twitter Posts—0
Deep learning approach for interruption attacks detection in LEO satellite networks—0
Differentially-Private Bayes Consistency—0
Metric Elicitation; Moving from Theory to Practice—0
Leveraging Structure for Improved Classification of Grouped Biased DataCode0
Hybrid Model using Feature Extraction and Non-linear SVM for Brain Tumor Classification—0
Transformers for End-to-End InfoSec Tasks: A Feasibility Study—0
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation—0
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization—0
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled LearningCode0
Semi-supervised binary classification with latent distance learning—0
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis—0
Positive unlabeled learning with tensor networksCode0
Deep-Learning-based Vulnerability Detection in Binary Executables—0
Lifting Weak Supervision To Structured PredictionCode0
Question-type Identification for Academic Questions in Online Learning Platform—0
Event Causality Identification with Causal News Corpus -- Shared Task 3, CASE 2022—0
Photonic Quantum Computing For Polymer Classification—0
Rooms with Text: A Dataset for Overlaying Text Detection—0
Patch-level Gaze Distribution Prediction for Gaze FollowingCode0
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection—0
Quantifying Human Bias and Knowledge to guide ML models during Training—0
Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning—0
Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder—0
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning—0
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds—0
Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models—0
Are Face Detection Models Biased?—0
Okapi: Generalising Better by Making Statistical Matches MatchCode0
Accurate and Reliable Methods for 5G UAV Jamming Identification With Calibrated Uncertainty—0
Two-stage LLM Fine-tuning with Less Specialization and More Generalization—0
Xtreme Margin: A Tunable Loss Function for Binary Classification Problems—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