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:1.90
Contributing Best Scientists:41
H5-index:
Papers published by Best Scientists67
Research Ranking (Computer Science)369
Conference Call for Papers
FLAIRS-36 is planned to run as a mild-hybrid conference. We will have a safe physical conference to the extent possible, but provide an option for online presentation for those who cannot attend the physical conference.
FLAIRS-36 continues a tradition of presenting and discussing state of the art artificial intelligence and related research in a sociable atmosphere in a beautiful setting. Events include invited speakers, special tracks, tutorials, and presentations of papers, posters, and awards. Traditionally, FLAIRS features not only some of the world’s leading researchers and excellent speakers, but also quality submissions from students.
Overview
Top Research Topics at The Florida AI Research Society?
Artificial intelligence (47.00%)
Machine learning (15.46%)
Natural language processing (15.03%)
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.
What are the most cited papers published at the conference?
The Optimality of Naive Bayes. (1053 citations)
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper (403 citations)
Algorithms for Large Scale Markov Blanket Discovery (355 citations)
Research areas of the most cited articles at The Florida AI Research Society:
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).
What topics the last edition of the conference is best known for?
Artificial intelligence
Programming language
Machine learning
The previous edition focused in particular on these issues:
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.
The most cited articles from the last conference are:
Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. (30 citations)
Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT. (23 citations)
Similarity Measures for Case-Based Retrieval of Natural Language Argument Graphs in Argumentation Machines. (6 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
Top authors and change over time
The top authors publishing at The Florida AI Research Society (based on the number of publications) are:
Danielle S. McNamara (16 papers) absent at the last edition,
William Eberle (13 papers) published 4 papers at the last edition the same number as at the previous edition,
Vasile Rus (13 papers) published 3 papers at the last edition, 1 less than at the previous edition,
David W. Aha (12 papers) absent at the last edition,
Gabriele Kern-Isberner (8 papers) published 2 papers at the last edition the same number as at the previous 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
Top affiliations and change over time
Only papers with recognized affiliations are considered
The top affiliations publishing at The Florida AI Research Society (based on the number of publications) are:
University of Memphis (29 papers) published 3 papers at the last edition, 1 less than at the previous edition,
University of Central Florida (23 papers) published 4 papers at the last edition, 2 less than at the previous edition,
Tennessee Technological University (18 papers) published 6 papers at the last edition, 1 more than at the previous edition,
National Institute of Astrophysics, Optics and Electronics (12 papers) published 1 paper at the last edition the same number as at the previous edition,
United States Naval Research Laboratory (11 papers) published 1 paper at the last edition, 1 less than at the previous 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 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.
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.
