Cover Image

Performance Estimation in Binary Classification Using Calibrated Confidence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kivimäki, Juhani, Białek, Jakub, Kuberski, Wojtek, Nurminen, Jukka K.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Confidence-based Estimators for Predictive Performance in Model Monitoring
by: Kivimäki, Juhani, et al.
Published: (2024)

Estimating Model Performance Under Covariate Shift Without Labels
by: Białek, Jakub, et al.
Published: (2024)

The Bayesian Confidence (BACON) Estimator for Deep Neural Networks
by: Kee, Patrick D., et al.
Published: (2024)

Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification
by: Pingi, Sharon Torao, et al.
Published: (2025)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows
by: Yang, Yiqian, et al.
Published: (2024)

On the Development of Binary Classification Algorithm Based on Principles of Geometry and Statistical Inference
by: Srivastava, Vatsal
Published: (2025)

Explainable Multi-Label Classification of MBTI Types
by: Kong, Siana, et al.
Published: (2024)

Pre-Ictal Seizure Prediction Using Personalized Deep Learning
by: Jaddu, Shriya, et al.
Published: (2024)

Calibrated Confidence Estimation for Tabular Question Answering
by: Voss, Lukas
Published: (2026)

ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning
by: Mi, Zhendong, et al.
Published: (2025)

A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks
by: Zhao, Zhilong, et al.
Published: (2025)

I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
by: Thil, Lucas, et al.
Published: (2025)

CPT: Competence-progressive Training Strategy for Few-shot Node Classification
by: Yan, Qilong, et al.
Published: (2024)

Symbol-Temporal Consistency Self-supervised Learning for Robust Time Series Classification
by: Garcia, Kevin, et al.
Published: (2025)

MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
by: Yao, Tianjun, et al.
Published: (2024)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)

Extreme AutoML: Analysis of Classification, Regression, and NLP Performance
by: Ratner, Edward, et al.
Published: (2024)

One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification
by: Kobayashi, Kenji, et al.
Published: (2020)

Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models
by: Moghadasi, Mahdi Naser, et al.
Published: (2026)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

On the Role of Pre-trained Embeddings in Binary Code Analysis
by: Maier, Alwin, et al.
Published: (2025)

Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
by: Niu, Ziru, et al.
Published: (2025)

Tempered Calculus for ML: Application to Hyperbolic Model Embedding
by: Nock, Richard, et al.
Published: (2024)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)

Implicit Counterfactual Data Augmentation for Robust Learning
by: Zhou, Xiaoling, et al.
Published: (2023)

Geoinformatics-Guided Machine Learning for Power Plant Classification
by: Austin-Gabriel, Blessing, et al.
Published: (2025)

2Mamba2Furious: Linear in Complexity, Competitive in Accuracy
by: Mongaras, Gabriel, et al.
Published: (2026)

Inference-Time Machine Unlearning via Gated Activation Redirection
by: Turani, Vinícius Conte, et al.
Published: (2026)

FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models
by: Polly, Fabien
Published: (2026)

Remaining Useful Life Estimation for Turbofan Engines: A Comparative Study of Classical, CNN, and LSTM Approaches
by: Goel, Astitva, et al.
Published: (2026)

Tactile-Proprioceptive Sensor Fusion for Contact Wrench Estimation in Whole-Body Physical Human-Robot Interaction
by: Min, Junha, et al.
Published: (2026)

It's All Connected: Topology-Aware Structural Graph Encoding Improves Performance on Polymer Prediction
by: Erdogan, H. Ibrahim, et al.
Published: (2026)

Combining Language and Topic Models for Hierarchical Text Classification
by: Toit, Jaco du, et al.
Published: (2025)

Evidential Deep Active Learning for Semi-Supervised Classification
by: Zhao, Shenkai, et al.
Published: (2025)

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition
by: Dresvyanskiy, Denis, et al.
Published: (2024)

CLIC: Contextual Language-Informed Cardiac Pathology Classification
by: Lucafo, Giovani D., et al.
Published: (2026)

The Role of Causal Features in Strategic Classification for Robustness and Alignment
by: Gois, Antonio, et al.
Published: (2026)

FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
by: Gorrim, Mohamed El
Published: (2025)

Action-Dependent Optimality-Preserving Reward Shaping
by: Forbes, Grant C., et al.
Published: (2025)