:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Bergerhoff, Leif
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Numerical Analysis Data Analysis, Statistics and Probability
Online Access:	https://arxiv.org/abs/2405.15253
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets
by: Salmanpour, Mohammad R., et al.
Published: (2024)

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction
by: Ma, Baoqiang, et al.
Published: (2026)

SAM-EM: Real-Time Segmentation for Automated Liquid Phase Transmission Electron Microscopy
by: Wang, Alexander, et al.
Published: (2025)

Data-Driven Automated Identification of Optimal Feature-Representative Images in Infrared Thermography Using Statistical and Morphological Metrics
by: Yagdjian, Harutyun, et al.
Published: (2026)

Approximation of High-Dimensional Gibbs Distributions with Functional Hierarchical Tensors
by: Sheng, Nan, et al.
Published: (2025)

Homomorphic data compression for real time photon correlation analysis
by: Strempfer, Sebastian, et al.
Published: (2024)

In search of rogue waves: a novel proposal distribution for parallelized rejection sampling of the truncated KdV Gibbs measure
by: Moore, Nicholas J., et al.
Published: (2024)

Hybrid Weight Window Techniques for Time-Dependent Monte Carlo Neutronics
by: Shaw, Caleb S., et al.
Published: (2025)

Fast and accurate noise removal by curve fitting using orthogonal polynomials
by: Rosso, Andrea Gallo
Published: (2026)

Tree Species Classification using Machine Learning and 3D Tomographic SAR -- a case study in Northern Europe
by: Grace, Colverd, et al.
Published: (2024)

Investigating the diversity and stylization of contemporary user generated visual arts in the complexity entropy plane
by: Kim, Seunghwan, et al.
Published: (2024)

Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing
by: Cheon, Minjong
Published: (2024)

Global-to-local image quality assessment in optical microscopy via fast and robust deep learning predictions
by: Corbetta, Elena, et al.
Published: (2025)

Noise2Ghost: Self-supervised deep convolutional reconstruction for ghost imaging
by: Manni, Mathieu, et al.
Published: (2025)

Developing a Novel Image Marker to Predict the Clinical Outcome of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients
by: Zhang, Ke, et al.
Published: (2023)

Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient $R^2$ on Unseen Data
by: Torres-Hernandez, Anthony
Published: (2025)

Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration
by: Cherukuru, Nihanth W., et al.
Published: (2026)

Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
by: Miyatake, Yuto, et al.
Published: (2024)

GFSR-Net: Guided Focus via Segment-Wise Relevance Network for Interpretable Deep Learning in Medical Imaging
by: Contreras, Jhonatan, et al.
Published: (2025)

Hierarchical topological clustering
by: Carpio, Ana, et al.
Published: (2025)

Classification non supervis{é}es d'acquisitions hyperspectrales cod{é}es : quelles v{é}rit{é}s terrain ?
by: Dinh, Trung-tin, et al.
Published: (2025)

Optimal Low-Depth Quantum Signal-Processing Phase Estimation
by: Dong, Yulong, et al.
Published: (2024)

Control of probability flow in Markov chain Monte Carlo -- Nonreversibility and lifting
by: Suwa, Hidemaro, et al.
Published: (2012)

Second Order Meanfield Approximation for calculating Dynamics in Au-Nanoparticle Networks
by: Wonisch, Evan, et al.
Published: (2024)

Variational system identification of the partial differential equations governing microstructure evolution in materials: Inference over sparse and spatially unrelated data
by: Wang, Z., et al.
Published: (2020)

An approximate graph elicits detonation lattice
by: Sharma, Vansh, et al.
Published: (2026)

Model discovery on the fly using continuous data assimilation
by: Newey, Joshua, et al.
Published: (2024)

A surrogate-based approach to accelerate the design and build phases of reinforced concrete bridges
by: Achhab, Mouhammed, et al.
Published: (2025)

Accelerating the Serviceability-Based Design of Reinforced Concrete Rail Bridges under Geometric Uncertainties induced by unforeseen events: A Surrogate Modeling approach
by: Achhab, Mouhammed, et al.
Published: (2025)

Dynamic mode decomposition as an analysis tool for time-dependent partial differential equations
by: Rot, Miha, et al.
Published: (2022)

Phenotyping calcification in vascular tissues using artificial intelligence
by: Ramezanpour, Mehdi, et al.
Published: (2024)

Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN
by: Kita, Mikołaj, et al.
Published: (2024)

A Large-Language-Model Assisted Automated Scale Bar Detection and Extraction Framework for Scanning Electron Microscopic Images
by: Chen, Yuxuan, et al.
Published: (2025)

Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale
by: Zheng, Candi, et al.
Published: (2023)

Modelling parametric uncertainty in PDEs models via Physics-Informed Neural Networks
by: Panahi, Milad, et al.
Published: (2024)

Quantifying uncertainty in inverse scattering problems set in layered environments
by: Abugattas, Carolina, et al.
Published: (2025)

Human-aligned Quantification of Numerical Data
by: Kolonin, Anton
Published: (2025)

Information-driven design of imaging systems
by: Pinkard, Henry, et al.
Published: (2024)

Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
by: Wang, Chenyang, et al.
Published: (2026)

FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology
by: Dai, Biwei, et al.
Published: (2026)