Papers Binary Classification
“Binary Classification” 태그가 달린 논문 3,070편 · 필터 해제
Attention-Based Estimation of the Individual Treatment Benefit Probability under Dose Variation
Estimating the probability that a treatment outperforms a control for an individual patient, called the Individual Probability of Treatment Benefit (IPTB), offers a clinically intuitive alternative to population-average …
Binary ClassificationDecoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
Hateful videos have become prevalent on online platforms, highlighting an urgent need for effective detection. However, existing studies primarily focus on binary classification and fail to provide contextual rationales …
Binary ClassificationLogical ReasoningEvaluation of AutoML Frameworks for IDS under Imbalanced Data Conditions of the NSL-KDD Dataset
This work investigates the impact of severe class imbalance on the performance of automated machine learning (AutoML) frameworks for multiclass network intrusion detection using the NSL-KDD dataset. Unlike previous studi…
Network Intrusion DetectionHyperparameter OptimizationBinary ClassificationEnsemble LearningBeyond Explaining Predictions: Logic-Based Explanations for Confidence in Machine Learning Models
Machine learning is increasingly used in critical domains, where both predictions and their associated confidence levels influence important decisions. To enhance transparency in such scenarios, it is important to unders…
Binary ClassificationDecision MakingCIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs
AI control protocols oversee untrusted models by monitoring their actions and modifying potentially unsafe steps, often using a trusted model. This partially tampers with the untrusted model's trajectory. If the trusted …
Binary ClassificationOncoTraj: a public benchmark for longitudinal resistance prediction in EGFR-mutant non-small-cell lung cancer on osimertinib
Resistance to first-line osimertinib in EGFR-mutant non-small-cell lung cancer (NSCLC) is the canonical example of predictable clonal evolution under therapeutic pressure, yet no public benchmark exists for training or e…
Binary ClassificationInterpretable Temporal Facial-Region Motion Analysis for In-the-Wild Parkinson's Disease Video Classification
Reduced facial expressivity is a common motor manifestation of Parkinson's disease (PD), often described as hypomimia or facial bradykinesia. This paper examines whether temporal motion descriptors extracted from facial-…
Binary ClassificationVideo ClassificationTeamHerald@CHIPSAL 2026: Hate Speech Detection and Sentiment Analysis of Nepali Memes using Transformer-based Architectures and Ensemble Learning
The analysis of internet memes in the Nepali language is complicated by frequent code-mixing and a lack of established baseline resources. While memes inherently combine visual and textual elements, this study focuses on…
Hate Speech DetectionBinary ClassificationSentiment AnalysisEnsemble LearningSupervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification
Turkish idiomatic light verb constructions (LVCs) are challenging for multiword expression processing because they often share the same surface form as fully literal verb-object combinations while functioning as a single…
Binary ClassificationTree-Based Formalization of Multi-Agent Complementarity in Human-AI Interactions
Complementarity is the case in which a human--AI interaction (HAI) outperforms the best prediction benchmark available among its members. Although this idea is central in HAI research, formal work on complementarity rema…
Binary ClassificationNeed We Teach Foundation Models What is a Generative Image? Gradient-Free Generative Artifact Detection via Analytic Spectral Adaptation
Adapting foundation models to detect generative artifacts via gradient-based updates compromises their intrinsic representations. Under optimization on limited samples, models overfit to local domain shortcuts. Fine-tuni…
Binary ClassificationArtifact DetectionRelGT-AC: A Relational Graph Transformer for Autocomplete Tasks in Relational Databases
Relational databases underpin modern enterprise, scientific, and healthcare systems, yet predictive machine learning on such data remains challenging due to their multi-table, heterogeneous, and temporal structure. Relat…
Binary ClassificationRobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
Small-to-medium scientific datasets place machine learning pipelines under two compounding pressures. Single-run feature selection produces feature sets that change substantially under small perturbations of the training…
Binary ClassificationHAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark
As generative platforms such as Suno and Udio reach human-grade audio quality, the scope of AI's utility has expanded across the entire music production workflow. Beyond simple track generation, these advancements have c…
Binary ClassificationTransferable Self-Harm Surveillance from Emergency Department Triage Notes Using an Evidence-Augmented Machine Learning Approach
Self-harm is a major public health concern, but current surveillance relying on hospital presentations is inadequate due to the low sensitivity of diagnostic codes. Emergency Department (ED) triage notes, recorded at the…
Binary ClassificationBinary Road Surface Classification Using Machine Learning on Production Vehicle Signals During Cruising
Knowledge of real-time road slipperiness, or even better, a refined estimate of peak grip potential, is a critical input for vehicle warning and intervention control systems. Typically, friction is estimated through dyna…
Binary ClassificationProfiling Privacy Preservation Against Gradient Inversion Attacks in Tabular Federated Learning
Federated learning (FL) enables multiple data holders to train machine learning models collaboratively without centralizing raw data, making it useful in privacy sensitive domains such as healthcare and institutional dat…
Binary ClassificationFederated LearningBayesian Classification with Probit-link Split-and-merge Gaussian Process Prior in EEG-based Brain-Computer Interfaces
A Brain-Computer Interface (BCI) speller systems based on Event-Related Potentials (ERPs) enables users to select characters by detecting brain responses to visual stimuli, recorded through electroencephalogram (EEG). On…
Binary ClassificationVariational Adapter for Cross-modal Similarity Representation
The core of vision-language models lies in measuring cross-modal similarity within a unified representation space. However, most image-text matching or multi-class image classification datasets lack fine-grained cross-mo…
Domain GeneralizationBinary ClassificationImage ClassificationImage-text matchingForecasting threshold exceedance of atmospheric variables at a specific location
This study compares two methodological approaches for predicting, at a given site, threshold exceedances of atmospheric variables such as temperature and wind speed: (i) direct probabilistic methods, which treat exceedan…
Binary Classification