Cover Image

Uncertainty measurement for complex event prediction in safety-critical systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peixoto, Maria J. P., Azim, Akramul
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agile Reinforcement Learning for Real-Time Task Scheduling in Edge Computing
by: Avan, Amin, et al.
Published: (2025)

In-context learning to predict critical transitions in dynamical systems
by: Sevinchan, Yunus, et al.
Published: (2026)

GBDTSVM: Combined Support Vector Machine and Gradient Boosting Decision Tree Framework for efficient snoRNA-disease association prediction
by: Muna, Ummay Maria, et al.
Published: (2025)

Uncertainty quantification and posterior sampling for network reconstruction
by: Peixoto, Tiago P.
Published: (2025)

WALL: A Web Application for Automated Quality Assurance using Large Language Models
by: Abtahi, Seyed Moein, et al.
Published: (2025)

Algorithmic Approaches to Enhance Safety in Autonomous Vehicles: Minimizing Lane Changes and Merging
by: Abtahi, Seyed Moein, et al.
Published: (2025)

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
by: Abtahi, Seyed Moein, et al.
Published: (2025)

Securing LLM-Generated Embedded Firmware through AI Agent-Driven Validation and Patching
by: Abtahi, Seyed Moein, et al.
Published: (2025)

Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations
by: Saju, Md Hasan, et al.
Published: (2026)

Behavior of prediction performance metrics with rare events
by: Minus, Emily, et al.
Published: (2025)

Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
by: Ospanov, Azim, et al.
Published: (2024)

Evidential time-to-event prediction with calibrated uncertainty quantification
by: Huang, Ling, et al.
Published: (2024)

A Lean Dataset for International Math Olympiad: Small Steps towards Writing Math Proofs for Hard Problems
by: Yousefzadeh, Roozbeh, et al.
Published: (2024)

Uncertainty Quantification in SVM prediction
by: Anand, Pritam
Published: (2025)

Uncertainty quantification in automated valuation models with spatially weighted conformal prediction
by: Hjort, Anders, et al.
Published: (2023)

Multiscale Dubuc: A New Similarity Measure for Time Series
by: Khazaei, Mahsa, et al.
Published: (2024)

Harnessing Synthetic Data from Generative AI for Statistical Inference
by: Abdel-Azim, Ahmad, et al.
Published: (2026)

Trustworthy predictive distributions for rare events via diagnostic transport maps
by: Cucuzzella, Elizabeth, et al.
Published: (2026)

Learning safety critics via a non-contractive binary bellman operator
by: Castellano, Agustin, et al.
Published: (2024)

An evidential time-to-event prediction model based on Gaussian random fuzzy numbers
by: Huang, Ling, et al.
Published: (2024)

From Canopy to Collision: A Hybrid Predictive Framework for Identifying Risk Factors in Tree-Involved Traffic Crashes
by: Azim, Abdul, et al.
Published: (2026)

SimBEV: A Synthetic Multi-Task Multi-Sensor Driving Data Generation Tool and Dataset
by: Mehr, Goodarz, et al.
Published: (2025)

The surprising efficiency of temporal difference learning for rare event prediction
by: Cheng, Xiaoou, et al.
Published: (2024)

MIEO: encoding clinical data to enhance cardiovascular event prediction
by: Borghini, Davide, et al.
Published: (2025)

Time-to-event prediction for grouped variables using Exclusive Lasso
by: Ravi, Dayasri, et al.
Published: (2025)

Machine learning for violence prediction: a systematic review and critical appraisal
by: Kozhevnikova, Stefaniya, et al.
Published: (2025)

Stretched and measured neural predictions of complex network dynamics
by: Vasiliauskaite, Vaiva, et al.
Published: (2023)

Effectiveness of High-Dimensional Distance Metrics on Solar Flare Time Series
by: Rohlfing, Elaina, et al.
Published: (2025)

Beyond Point Matching: Evaluating Multiscale Dubuc Distance for Time Series Similarity
by: Ahmadzadeh, Azim, et al.
Published: (2025)

SpatialMAGIC: A Hybrid Framework Integrating Graph Diffusion and Spatial Attention for Spatial Transcriptomics Imputation
by: Zaman, Sayeem Bin, et al.
Published: (2026)

Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases
by: Pagán, Josué, et al.
Published: (2024)

Landscape of AI safety concerns -- A methodology to support safety assurance for AI-based autonomous systems
by: Schnitzer, Ronald, et al.
Published: (2024)

An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems
by: Saju, Md Hasan, et al.
Published: (2026)

Uncertainty quantification in neural network-based glucose prediction for diabetes
by: Tan, Hai Siong, et al.
Published: (2026)

Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems
by: Yang, Xiaomi, et al.
Published: (2025)

Feature Interaction Aware Automated Data Representation Transformation
by: Azim, Ehtesamul, et al.
Published: (2023)

Can AI-predicted complexes teach machine learning to compute drug binding affinity?
by: Hsu, Wei-Tse, et al.
Published: (2025)

Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation
by: Marcondes, Diego, et al.
Published: (2023)

Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)

A critical assessment of reinforcement learning methods for microswimmer navigation in complex flows
by: Mecanna, Selim, et al.
Published: (2025)