ISSN: 1939-4608

Journal Home

Journal Guideline

Synthesis Lectures on Artificial Intelligence and Machine Learning Q4 Unclaimed

Springer International Publishing United States

Unfortunately this journal has not been claimed yet. For this reason, some information may be unavailable.

Synthesis Lectures on Artificial Intelligence and Machine Learning is a book series indexed in SJR in Artificial Intelligence with an H index of 30. It has an SJR impact factor of 0,232 and it has a best quartile of Q4. It is published in English. It has an SJR impact factor of 0,232.

Type: Book series

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Artificial Intelligence (Q4)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

Synthesis Lectures on Artificial Intelligence and Machine Learning

0,232

SJR Impact factor

30

H Index

1

Total Docs (Last Year)

46

Total Docs (3 years)

356

Total Refs

19

Total Cites (3 years)

2

Citable Docs (3 years)

0.23

Cites/Doc (2 years)

356.0

Ref/Doc

Comments

No comments ... Be the first to comment!

Publication speed *

Review quality *

Edition and editorial team *

Institutional email or ORCID *

* The email or ORCID field is only to validate the authenticity of the comment, the identity will not be public. .

Other journals with similar parameters

Inteligencia Artificial Q4
International Journal of Swarm Intelligence Research Q4
WSEAS Transactions on Systems and Control Q4
Information and Control Q4
Journal of Computer Science Q4

Compare this journals

Aims and Scope

Best articles by citations

Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms

Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms, Second Edition

Graph-Based Semi-Supervised Learning

Predicting Human Decision-Making: From Prediction to Action

A Short Introduction to Preferences: Between Artificial Intelligence and Social Choice

Lifelong Machine Learning

Lifelong Machine Learning, Second Edition

Essentials of Game Theory: A Concise Multidisciplinary Introduction

Visual Object Recognition

Computational Aspects of Cooperative Game Theory

Adversarial Machine Learning

Introduction to Graph Neural Networks

SHOW MORE ARTICLES

Planning with Markov Decision Processes: An AI Perspective

Intelligent Autonomous Robotics: A Robot Soccer Case Study

Representations and Techniques for 3D Object Recognition and Scene Interpretation

Introduction to Intelligent Systems in Traffic and Transportation

An Introduction to the Planning Domain Definition Language

Introduction to Logic Programming

Game Theory for Data Science: Eliciting Truthful Information

Multi-Objective Decision Making

Learning and Decision-Making from Rank Data

Markov Logic: An Interface Layer for Artificial Intelligence

Data Integration: The Relational Logic Approach

Action Programming Languages