Clearwater Beach, Florida, United States
Submission Deadline: Monday 06 Feb 2023
Conference Dates: May 14, 2023 - May 17, 2023
Impact Score 1.90
Conference Organizers: Deadline extended? Click here to edit
The topics of Artificial intelligence, Machine learning, Natural language processing, Data mining and Theoretical computer science are the focal point of discussions in The Florida AI Research Society. Artificial neural network is a key component of Artificial intelligence research discussed in it. The Florida AI Research Society investigates Natural language processing research which frequently intersects with Information retrieval.
The most cited papers are organized to address concerns in the fields of Artificial intelligence, Natural language processing, Machine learning, Data mining and Information retrieval. The most cited articles with studies in Artificial intelligence featured incorporate elements of Context (language use) and Pattern recognition. The conference articles address concerns in Natural language processing which are intertwined with other disciplines, such as Ontology (information science) and Word (computer architecture).
The conference mostly deals with topics like Artificial intelligence, Machine learning, Human–computer interaction, Natural language processing and Theoretical computer science. The conference is focused mainly on Artificial intelligence, particularly Case-based reasoning. The event is mostly focused on Machine learning, specifically Recommender system.
More specifically, the research on Natural language processing in it is related to Parsing. The Task (project management) works featured in The Florida AI Research Society incorporate elements from Deep learning and Architecture.
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 The Florida AI Research Society (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 The Florida AI Research Society (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 2019 edition, 3.19% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.88% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.99% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.57% of all publications and 39.56% 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 10, 2023 - Dec 13, 2023
San Antonio, United States
Deadline: Friday 07 Apr 2023
Oct 02, 2023 - Oct 05, 2023
Daytona Beach, United States
Deadline: Friday 07 Apr 2023
Sep 05, 2023 - Sep 08, 2023
Santa Clara, United States
Deadline: Monday 03 Apr 2023
Aug 04, 2023 - Aug 06, 2023
Los Angeles, United States
Deadline: Wednesday 05 Apr 2023
Jul 28, 2023 - Jul 30, 2023
Madison, United States
Deadline: Friday 07 Apr 2023
May 16, 2021 - May 16, 2021
Florida, United States
May 15, 2022 - May 18, 2022
Hutchison Island, FA, United States
36th International Florida AI Research Society Conference
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