Submission Deadline: Thursday 20 Oct 2022
Conference Dates: Dec 13, 2022 - Dec 15, 2022
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.
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.
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.
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.
The top authors publishing at Hybrid Intelligent Systems (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing at Hybrid Intelligent Systems (based on the number of publications) are:
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.
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.
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.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Dec 11, 2022 - Dec 13, 2022
Deadline: Saturday 12 Aug 2023
Dec 14, 2021 - Dec 16, 2021
International Conference on Hybrid Intelligent Systems
Thank you for information!