Submission Deadline: Sunday 10 Jul 2022
Conference Dates: Nov 28, 2022 - Dec 01, 2022
Artificial intelligence, Machine learning, Pattern recognition, Mathematical optimization and Data mining are the subjects of interest in Brazilian Conference on Intelligent Systems. Artificial intelligence research discussed connects with the study of Natural language processing. Brazilian Conference on Intelligent Systems explores topics in Machine learning which can be helpful for research in disciplines like Algorithm, Set (abstract data type) and Task analysis.
The majority of Pattern recognition studies presented zero in on Feature extraction. It aims to address concerns in Mathematical optimization, specifically in the areas of Evolutionary algorithm, Metaheuristic, Optimization problem and Multi-objective optimization. Brazilian Conference on Intelligent Systems explores research in Evolutionary algorithm and the adjacent study of Evolutionary computation.
The studies tackled, which mainly focus on Deep learning, apply to Convolutional neural network as well.
The most cited papers mostly deal with topics like Artificial intelligence, Machine learning, Pattern recognition, Artificial neural network and Data mining. The published papers investigate Artificial intelligence research which frequently intersects with Natural language processing. The works on Pattern recognition tackled in the most cited papers bring together disciplines like Data transformation (statistics), Cluster analysis and Time series.
The conference explores disciplines such as Artificial intelligence, Machine learning, Deep learning, Mathematical optimization and Benchmark (computing). While the conference focused on Artificial intelligence, it was also able to explore topics like Pattern recognition and Natural language processing. While Machine learning is the focus of Brazilian Conference on Intelligent Systems, it also provided insights into the studies of Data complexity, Meta learning (computer science) and Set (abstract data type).
The event addresses concerns in Deep learning which are intertwined with other disciplines, such as Domain (software engineering) and Word (computer architecture). Issues in Mathematical optimization were discussed, taking into consideration concepts from other disciplines like Path (graph theory) and Scalability. Brazilian Conference on Intelligent Systems holds forums on Benchmark (computing) that merges themes from other disciplines such as Quality (business) and Algorithm.
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 Brazilian Conference on 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 Brazilian Conference on 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 2020 edition, 3.30% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 45.45% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.77% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 29.55% of all publications and 10.23% 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.
Nov 29, 2021 - Nov 29, 2021
Nov 28, 2022 - Dec 01, 2022
Brazilian Conference on Intelligent Systems
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