Lecture Notes in Computer Science - Learning and Intelligent Optimization
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 30)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783030921200, 9783030921217

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_9 ◽

2021 ◽

pp. 113-120

Author(s):

Elias Dritsas ◽

Nikos Fazakis ◽

Otilia Kocsis ◽

Nikos Fakotakis ◽

Konstantinos Moustakas

Keyword(s):

Risk Prediction ◽

Hypertension Risk

Download Full-text

Learning to Optimize Black-Box Functions with Extreme Limits on the Number of Function Evaluations

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_2 ◽

2021 ◽

pp. 7-24

Author(s):

Carlos Ansótegui ◽

Meinolf Sellmann ◽

Tapan Shah ◽

Kevin Tierney

Keyword(s):

Black Box

Download Full-text

Graph Diffusion & PCA Framework for Semi-supervised Learning

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_3 ◽

2021 ◽

pp. 25-39

Author(s):

Konstantin Avrachenkov ◽

Aurélie Boisbunon ◽

Mikhail Kamalov

Keyword(s):

Supervised Learning

Download Full-text

Exact Counting and Sampling of Optima for the Knapsack Problem

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_4 ◽

2021 ◽

pp. 40-54

Author(s):

Jakob Bossek ◽

Aneta Neumann ◽

Frank Neumann

Keyword(s):

Knapsack Problem ◽

Exact Counting

Download Full-text

Spirometry-Based Airways Disease Simulation and Recognition Using Machine Learning Approaches

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_8 ◽

2021 ◽

pp. 98-112

Author(s):

Riccardo Di Dio ◽

André Galligo ◽

Angelos Mantzaflaris ◽

Benjamin Mauroy

Keyword(s):

Machine Learning ◽

Learning Approaches

Download Full-text

How to Trust Generative Probabilistic Models for Time-Series Data?

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_23 ◽

2021 ◽

pp. 283-298

Author(s):

Nico Piatkowski ◽

Peter N. Posch ◽

Miguel Krause

Keyword(s):

Time Series ◽

Probabilistic Models ◽

Time Series Data ◽

Series Data

Download Full-text

Modeling of Crisis Periods in Stock Markets

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_5 ◽

2021 ◽

pp. 55-65

Author(s):

Apostolos Chalkis ◽

Emmanouil Christoforou ◽

Theodore Dalamagas ◽

Ioannis Z. Emiris

Keyword(s):

Stock Markets

Download Full-text

Corrected Formulations for the Traveling Car Renter Problem

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_27 ◽

2021 ◽

pp. 351-363

Author(s):

Brenner Humberto Ojeda Rios ◽

Junior Cupe Casquina ◽

Hossmell Hernan Velasco Añasco ◽

Alfredo Paz-Valderrama

Download Full-text

An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_1 ◽

2021 ◽

pp. 1-6

Author(s):

Rhys Agombar ◽

Christian Bauckhage ◽

Max Luebbering ◽

Rafet Sifa

Keyword(s):

Convolutional Network ◽

Network Layers

Download Full-text

Towards Complex Scenario Instances for the Urban Transit Routing Problem

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-030-92121-7_7 ◽

2021 ◽

pp. 80-97

Author(s):

Roberto Díaz Urra ◽

Carlos Castro ◽

Nicolás Gálvez Ramírez

Keyword(s):

Urban Transit ◽

Routing Problem ◽

Complex Scenario

Download Full-text

Lecture Notes in Computer Science - Learning and Intelligent OptimizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Long-Term Hypertension Risk Prediction with ML Techniques in ELSA Database

Learning to Optimize Black-Box Functions with Extreme Limits on the Number of Function Evaluations

Graph Diffusion & PCA Framework for Semi-supervised Learning

Exact Counting and Sampling of Optima for the Knapsack Problem

Spirometry-Based Airways Disease Simulation and Recognition Using Machine Learning Approaches

How to Trust Generative Probabilistic Models for Time-Series Data?

Modeling of Crisis Periods in Stock Markets

Corrected Formulations for the Traveling Car Renter Problem

An Optimization for Convolutional Network Layers Using the Viola-Jones Framework and Ternary Weight Networks

Towards Complex Scenario Instances for the Urban Transit Routing Problem

Lecture Notes in Computer Science - Learning and Intelligent Optimization
Latest Publications