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Binary Classification

Papers

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Showing 251–300 of 2574 papers

TitleStatusHype
Energy-based features and bi-LSTM neural network for EEG-based music and voice classification—0
ODTE -- An ensemble of multi-class SVM-based oblique decision trees—0
Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization—0
Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-TaskingCode0
Prediction of Acoustic Communication Performance for AUVs using Gaussian Process Classification—0
VocalTweets: Investigating Social Media Offensive Language Among Nigerian Musicians—0
LProtector: An LLM-driven Vulnerability Detection System—0
Robust Detection of LLM-Generated Text: A Comparative Analysis—0
STAND-Guard: A Small Task-Adaptive Content Moderation Model—0
Finding Strong Lottery Ticket Networks with Genetic AlgorithmsCode0
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators—0
PropNEAT -- Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks—0
How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings—0
Social Support Detection from Social Media Texts—0
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain SetupsCode0
High-performance automated abstract screening with large language model ensembles—0
The Implicit Bias of Gradient Descent on Separable Multiclass Data—0
Ratio law: mathematical descriptions for a universal relationship between AI performance and input samples—0
Understanding Aggregations of Proper Learners in Multiclass Classification—0
Enhancing binary classification: A new stacking method via leveraging computational geometry—0
From Explicit Rules to Implicit Reasoning in an Interpretable Violence Monitoring System—0
RoBIn: A Transformer-Based Model For Risk Of Bias Inference With Machine Reading ComprehensionCode0
zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation—0
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive LearningCode2
A Review of Deep Learning Approaches for Non-Invasive Cognitive Impairment Detection—0
Detection of Human and Machine-Authored Fake News in UrduCode0
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification—0
DCT-HistoTransformer: Efficient Lightweight Vision Transformer with DCT Integration for histopathological image analysis—0
Binary Classification: Is Boosting stronger than Bagging?—0
PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding—0
Low-Rank Tensor Learning by Generalized Nonconvex Regularization—0
Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness—0
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds—0
Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification—0
1024m at SMM4H 2024: Tasks 3, 5 & 6 -- Ensembles of Transformers and Large Language Models for Medical Text Classification—0
Data Augmentation via Diffusion Model to Enhance AI Fairness—0
Advancing Physics Data Analysis through Machine Learning and Physics-Informed Neural Networks—0
How EEG preprocessing shapes decoding performanceCode1
Auto Detecting Cognitive Events Using Machine Learning on Pupillary Data—0
Beyond Binary: Towards Fine-Grained LLM-Generated Text Detection via Role Recognition and Involvement Measurement—0
Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection FrameworkCode0
Real-time Fake News from Adversarial FeedbackCode0
Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction—0
CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence—0
Integrating Large Language Models and Reinforcement Learning for Non-Linear Reasoning—0
SoK: Prompt Hacking of Large Language Models—0
Sample Compression Scheme Reductions—0
Explainable Binary Classification of Separable Shape Ensembles—0
Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical PerceptionCode3
Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal ReasoningCode0
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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