Cargando…

AutoML for Fast Simulation

The extensive program of high energy physics (HEP) experiments relies on Monte Carlo (MC) simulation. MC consists of a basis for testing hypothesis of the underlying distribution of the data. The need for fast and large scale simulated samples for HEP experiments motivates the development of new sim...

Descripción completa

Detalles Bibliográficos
Autor principal:	Nascimento Ferreira, Poliana
Lenguaje:	eng
Publicado:	2021
Materias:	Particle Physics - Experiment Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2788442

Ejemplares similares

Hands-on automated machine learning: a beginner's guide to building automated machine learning systems using AutoML and Python
por: Das, Sibanjan, et al.
Publicado: (2018)

Review of ML and AutoML Solutions to Forecast Time-Series Data
por: Alsharef, Ahmad, et al.
Publicado: (2022)

Landslide Susceptibility Assessment Using an AutoML Framework
por: Bruzón, Adrián G., et al.
Publicado: (2021)

Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems
por: Barreiro, Enrique, et al.
Publicado: (2018)

Optimization of running-in surface morphology parameters based on the AutoML model
por: Ge, Guangyuan, et al.
Publicado: (2021)

Benchmarking AutoML frameworks for disease prediction using medical claims
por: A. Romero, Roland Albert, et al.
Publicado: (2022)

BACS: blockchain and AutoML-based technology for efficient credit scoring classification
por: Yang, Fan, et al.
Publicado: (2022)

Benchmarking AutoML for regression tasks on small tabular data in materials design
por: Conrad, Felix, et al.
Publicado: (2022)

An improved hyperparameter optimization framework for AutoML systems using evolutionary algorithms
por: Vincent, Amala Mary, et al.
Publicado: (2023)

Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
por: Mubarak, Yousef, et al.
Publicado: (2023)

Automated Prediction of Crack Propagation Using H2O AutoML
por: Omar, Intisar, et al.
Publicado: (2023)

Micro-architecture design exploration template for AutoML case study on SqueezeSEMAuto
por: Chantrapornchai, Chantana, et al.
Publicado: (2023)

RETRACTED ARTICLE: Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML
por: Han, Tao, et al.
Publicado: (2021)

Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms
por: Aquino-Brítez, Diego, et al.
Publicado: (2021)

Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor
por: Czub, Natalia, et al.
Publicado: (2021)

Human behavior in image-based Road Health Inspection Systems despite the emerging AutoML
por: Siriborvornratanakul, Thitirat
Publicado: (2022)

Retraction Note: Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML
por: Han, Tao, et al.
Publicado: (2023)

AutoML accurately predicts endovascular mechanical thrombectomy in acute large vessel ischemic stroke
por: Raj, Rishi, et al.
Publicado: (2023)

Author Correction: Hierarchical automated machine learning (AutoML) for advanced unconventional reservoir characterization
por: Mubarak, Yousef, et al.
Publicado: (2023)

Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnostics
por: Bifarin, Olatomiwa O., et al.
Publicado: (2023)

Fast and scalable image auto-tagging
por: Frejaville, Camille
Publicado: (2014)

AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network
por: Singh, Abhilash, et al.
Publicado: (2022)

Automated machine learning (AutoML) can predict 90-day mortality after gastrectomy for cancer
por: SenthilKumar, Gopika, et al.
Publicado: (2023)

Pharm‐AutoML: An open‐source, end‐to‐end automated machine learning package for clinical outcome prediction
por: Liu, Gengbo, et al.
Publicado: (2021)

Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior
por: Rahman, Rahayu Abdul, et al.
Publicado: (2023)

ReasonML quick start guide: build fast and type-safe react applications that leverage the JavaScript and OcaML ecosystems
por: Rafatpanah, Raphael, et al.
Publicado: (2019)

Generative models for fast simulation
por: Vallecorsa, S
Publicado: (2018)

Hyperparameter Tuning and Pipeline Optimization via Grid Search Method and Tree-Based AutoML in Breast Cancer Prediction
por: Radzi, Siti Fairuz Mat, et al.
Publicado: (2021)

SCP4ssd: A Serverless Platform for Nucleotide Sequence Synthesis Difficulty Prediction Using an AutoML Model
por: Zhang, Jianqi, et al.
Publicado: (2023)

Machine learning approach in predicting GlutoPeak test parameters from image data with AutoML and transfer learning
por: Murai, Takehiro, et al.
Publicado: (2023)

The Fast Simulation Chain in the ATLAS experiment
por: Javurkova, Martina, et al.
Publicado: (2021)

A palette of fast simulations in LHCb
por: Whitehead, Mark Peter
Publicado: (2019)

TrackML : a tracking Machine Learning challenge
por: Golling, Tobias, et al.
Publicado: (2019)

Fast Simulation in passive detector volumes in ALICE
por: Hasa, Loriza
Publicado: (2019)

Computer-aided graphing and simulation tools for AutoCAD users
por: Simionescu, P A
Publicado: (2015)

A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities
por: Angarita-Zapata, Juan S., et al.
Publicado: (2021)

Automated Curation of CNMF-E-Extracted ROI Spatial Footprints and Calcium Traces Using Open-Source AutoML Tools
por: Tran, Lina M., et al.
Publicado: (2020)

Automated Machine Learning (AutoML)-Derived Preconception Predictive Risk Model to Guide Early Intervention for Gestational Diabetes Mellitus
por: Kumar, Mukkesh, et al.
Publicado: (2022)

Lamarr: the ultra-fast simulation option for the LHCb experiment
por: Anderlini, Lucio, et al.
Publicado: (2022)

Speeding up HEP experiment software with a library of fast and auto-vectorisable mathematical functions
por: Piparo, Danilo, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_3pc3u1fn6h6fhsn33j999nbb1p