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Annals of Mathematics and Artificial Intelligence (AMAI)

Publisher :

Springer Nature Switzerland AG

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Artificial Intelligence
  • Computer Science
  • Mathematics
e-ISSN :

1573-7470

Issue Frequency :

Quarterly

Impact Factor :

1.2

p-ISSN :

1012-2443

Est. Year :

1990

Mobile :

31786576000

Country :

Netherlands The

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

customerservice@springernature.com

Journal Descriptions

Annals of Mathematics and Artificial Intelligence is a scholarly journal focusing on the application of mathematical methods to diverse areas of Artificial Intelligence. Appeals to readers using quantitative, combinatorial, logical, algebraic and algorithmic methods in AI. Aims to foster new areas of applied mathematics and strengthen the scientific underpinnings of AI. Features collections of papers focusing on one topic, appearing in volumes or separate issues. Influences the development of new areas of applied mathematics and AI. The scope of Annals of Mathematics and Artificial Intelligence is intended to represent a wide range of topics of concern to scholars applying quantitative, combinatorial, logical, algebraic and algorithmic methods to Artificial Intelligence areas as diverse as decision support, automated deduction, reasoning, knowledge-based systems, machine learning, computer vision, robotics and planning. The journal is aimed at: applied logicians, algorithms and complexity researchers, Artificial Intelligence theorists and applications specialists using mathematical methods. It is hoped to influence the spawning of new areas of applied mathematics and the strengthening of the scientific underpinnings of Artificial Intelligence. Annals of Mathematics and Artificial Intelligence consists of collections of papers appearing either in volumes (400 pages) or in separate issues (100-300 pages). These collections of papers will focus on one topic and will feature one or more guest editors. Potential guest editors are invited to submit their proposal to the Editor-in-Chief. Please note that collections on topics within intelligent systems that show a strong foundational component are strongly encouraged. All information regarding the contents of Annals of Mathematics and Artificial Intelligence should be addressed to the Editor-in-Chief.


Annals of Mathematics and Artificial Intelligence (AMAI) is :

International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Computer Science, Mathematics , Online or Print, Quarterly Journal

UGC Approved, ISSN Approved: P-ISSN - 1012-2443, E-ISSN - 1573-7470, Established in - 1990, Impact Factor - 1.2

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Publications of AMAI

Research Article
  • dott image Seonho Park
  • dott image April, 2024

Deep data density estimation through Donsker-Varadhan representation

Estimating the data density is one of the challenging problem topics in the deep learning society. In this paper, we present a simple yet effective methodology for estimating the data densit...

Research Article
  • dott image January, 2024

Clique detection with a given reliability

In this paper we propose a new notion of a clique reliability. The clique reliability is understood as the ratio of the number of statistically significant links in a clique to the number of...

Research Article
  • dott image Ilias Kotsireas
  • dott image May, 2023

Correction to: Preface: Selected revised papers from the LION 15 conference

The original version of this Preface article unfortunately contained an incorrect data “Following the conference, authors of selected presentations were invited to submit full journal pap...

An improved multi-task least squares twin support vector machine

In recent years, multi-task learning (MTL) has become a popular field in machine learning and has a key role in various domains. Sharing knowledge across tasks in MTL can improve the perform...

Physician scheduling problem in Mobile Cabin Hospitals of China during Covid-19 outbreak

In this paper, we investigate a novel physician scheduling problem in the Mobile Cabin Hospitals (MCH) which are constructed in Wuhan, China during the outbreak of the Covid-19 pandemic. The...

Research Article
  • dott image Shaojun Lu
  • dott image August, 2022

Parallel machine scheduling with linearly increasing energy consumption cost

This paper deals with a parallel machine scheduling problem with linearly increasing energy consumption cost. Maintenance activities are considered in the problem. After maintenance, the mac...

Research Article
  • dott image June, 2023

An adaptive human learning optimization with enhanced exploration–exploitation balance

Human Learning Optimization (HLO) is a simple yet efficient binary meta-heuristic, in which three learning operators, i.e. the random learning operator (RLO), individual learning operator (I...

Research Article
  • dott image Ilias Kotsireas
  • dott image June, 2023

Preface: Selected revised papers from the LION 15 conference

This special issue of the Annals of Mathematics and Artificial Intelligence (AMAI) consists of selected thoroughly revised and extended journal papers originating from the LION 15 conferenc...

Research Article
  • dott image Baoyu Liao
  • dott image May, 2021

Evolutionary game analysis on government subsidy policy and bank loan strategy in China’s distributed photovoltaic market

Aiming to meet increasing energy demand and reduce carbon emissions caused by fossil fuel consumption, China is vigorously supporting the diffusion of photovoltaic (PV) generation equipment....

Research Article
  • dott image Seonho Park
  • dott image February, 2021

Interpreting rate-distortion of variational autoencoder and using model uncertainty for anomaly detection

Building a scalable machine learning system for unsupervised anomaly detection via representation learning is highly desirable. One of the prevalent methods is using a reconstruction error o...

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