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International Conference on Hybrid Intelligent Systems

International Conference on Hybrid Intelligent Systems

Online

Submission Deadline: Thursday 20 Oct 2022

Conference Dates: Dec 13, 2022 - Dec 15, 2022

Research
Impact Score 0.80

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 0.80
Contributing Best Scientists: 5
H5-index:
Papers published by Best Scientists 16
Research Ranking (Computer Science) 999

Conference Call for Papers

HIS'2022 will focus on the following themes:

Hybrid Intelligent Systems: Architectures
Interactions between neural networks and fuzzy inference systems.
Artificial neural network optimization using global optimization techniques.
Fuzzy clustering algorithms and optimization techniques.
Fuzzy inference system optimization using global optimization algorithms.
Hybrid computing using neural networks - fuzzy systems - evolutionary algorithms.
Hybrid optimization techniques (evolutionary algorithms, simulated annealing, tabu search, GRASP etc.).
Hybrid of soft computing and statistical learning techniques.
Models using inductive logic programming, logic synthesis, grammatical inference, case-based reasoning etc.
Autonomic computing.
Hybridizatiion with novel computing paradigms: Qantum computing, DNA computing, membrane computing etc.
Hybrid Intelligent Systems: Applications
Image and Signal Processing
Internet Modeling, Communication and Networking
Data mining
Computational Biology and Bioinformatics
Business Information Systems
Control and Automation
Special topics

Overview

Top Research Topics at Hybrid Intelligent Systems?

  • Artificial intelligence (52.20%)
  • Fuzzy logic (24.66%)
  • Machine learning (22.97%)

Artificial intelligence, Fuzzy logic, Machine learning, Artificial neural network and Data mining are among the topics commonly tackled in the conference. Topics in Artificial intelligence explored in the conference were investigated in conjunction with research in Computer vision and Pattern recognition. Pattern recognition research is the primary subject tackled in the conference with a focus on Pattern recognition (psychology).

The studies tackled, which mainly focus on Fuzzy logic, apply to Mathematical optimization as well. Hybrid Intelligent Systems focuses on Mathematical optimization but sometimes tackles the closely related topic of Algorithm which is concerned with Set (abstract data type). While Artificial neural network is the focus of the event, it also provided insights into the studies of Time series and Modular design.

Decision tree is a major topic of Data mining research presented in the conference. Hybrid Intelligent Systems focuses on Fuzzy control system research as part of the broader topic of Control theory. While work presented in Hybrid Intelligent Systems provided substantial information on Multi-swarm optimization, it also covered topics in Swarm behaviour and Metaheuristic.

What are the most cited papers published at the conference?

  • Synergy of PSO and Bacterial Foraging Optimization — A Comparative Study on Numerical Benchmarks (170 citations)
  • Multi-Classifier Systems: Review and a roadmap for developers (148 citations)
  • Hybrid Intelligence in Software Release Planning (101 citations)

Research areas of the most cited articles at Hybrid Intelligent Systems:

The conference publications focus on Artificial intelligence, Machine learning, Fuzzy logic, Data mining and Artificial neural network. The published papers focus on Artificial intelligence but the discussions also offer insight into other areas such as Algorithm, Set (abstract data type) and Pattern recognition. The works on Machine learning tackled in the most cited papers bring together disciplines like Classifier (UML) and Knowledge representation and reasoning.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Machine learning
  • Statistics

The previous edition focused in particular on these issues:

The aim of the conference is to expand the discussion of research in Genetic algorithm, Set (abstract data type), Visualization, Timeline and Graph (abstract data type). Research on Genetic algorithm presented in the event concerns the broader topic of Mathematical optimization. Some problems in Set (abstract data type) that were presented in the event overlapped with concepts under Artificial immune system, Artificial neural network, Extreme learning machine, Regression and Radial basis function network.

The in-depth study on Visualization also explores topics in the intersecting field of World Wide Web.

The most cited articles from the last conference are:

  • Multiple developing news stories identified and tracked by social insects and visualized using the new galactic streams and concurrent streams metaphors (3 citations)
  • Parallelization of genetic algorithms for sorting permutations by reversals over biological data (3 citations)
  • Self-tuning PID controller using quantum neural network with qubit-inspired neurons (2 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at Hybrid Intelligent Systems (based on the number of publications) are:

  • Patricia Melin (23 papers) absent at the last edition,
  • Oscar Castillo (21 papers) absent at the last edition,
  • Fevrier Valdez (6 papers) absent at the last edition,
  • Roberto Sepúlveda (4 papers) absent at the last edition,
  • José Soria (4 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Hybrid Intelligent Systems (based on the number of publications) are:

  • Instituto Tecnológico de Ciudad Madero (8 papers) absent at the last edition,
  • Autonomous University of Baja California (7 papers) absent at the last edition,
  • CINVESTAV (5 papers) absent at the last edition,
  • University of Granada (5 papers) absent at the last edition,
  • Federal University of Pernambuco (4 papers) absent at the last edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2015 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 80.00% of all publications and 20.00% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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