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Australasian Joint Conference on Artificial Intelligence

Australasian Joint Conference on Artificial Intelligence

Perth , Australia

Submission Deadline: Monday 25 Jul 2022

Conference Dates: Dec 05, 2022 - Dec 08, 2022

Research
Impact Score 1.10

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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: 1.10
Contributing Best Scientists: 25
H5-index:
Papers published by Best Scientists 51
Research Ranking (Computer Science) 675

Conference Call for Papers

Topics
Agent-based, multiagent systems and game theory
Optimisation, constraint satisfaction, and search
Evolutionary computation and learning
Fuzzy and uncertainty of AI systems
Knowledge acquisition, ontologies, and representation
Planning, scheduling, combinatorial optimisation, and reinforcement learning
Cognitive modelling and computer-human interaction
Reasoning for AI systems and deep learning
Machine learning and deep learning related emerging topics
Multidisciplinary AI, and other emerging AI-related topics
AI applications and innovation, e.g., healthcare, education, entertainment, smart city, IoT, and blockchain
Computer vision and image processing
Natural language processing, text mining, and information retrieval
Data mining and knowledge discovery, web/social media mining, graph neural networks, and recommendation system
Robotics, human-robot Interaction, social robotics
Data-driven AI: big data, representation, analytics, and visualisation
AI infrastructure: cloud, networking, data warehouse, IoT, AutoML, and hardware
Ethical, legal, explainable, trustable, and accountable AI
Software engineering for AI, and AI project management
Privacy-preserving AI and federated learning

Overview

Top Research Topics at Australasian Joint Conference on Artificial Intelligence?

  • Artificial intelligence (52.75%)
  • Machine learning (20.87%)
  • Algorithm (12.69%)

Artificial intelligence, Machine learning, Algorithm, Data mining and Pattern recognition are among the topics commonly tackled in Australasian Joint Conference on Artificial Intelligence. Topics in Artificial intelligence were tackled in line with various other fields like Computer vision and Natural language processing. The conference covers various topics on Machine learning such as Decision tree and Genetic programming.

Discussions in the conference are anchored in the subject of Algorithm and the similar topic of Mathematical optimization. Australasian Joint Conference on Artificial Intelligence links adjacent topics like Data mining with Cluster analysis. Classifier (UML) is a focus of the Pattern recognition works in the conference.

What are the most cited papers published at the conference?

  • Multinomial naive bayes for text categorization revisited (254 citations)
  • Solving rotated multi-objective optimization problems using differential evolution (226 citations)
  • Deep Learning for Classification of Malware System Call Sequences (222 citations)

Research areas of the most cited articles at Australasian Joint Conference on Artificial Intelligence:

The conference articles facilitate discussions on Artificial intelligence, Machine learning, Mathematical optimization, Pattern recognition and Algorithm. The most cited publications address concerns in Artificial intelligence which are intertwined with other disciplines, such as Computer vision and Natural language processing. The conference papers address concerns in the field of Machine learning by exploring it in line with topics in Variety (cybernetics) which intersect with Hidden Markov model and State (computer science) subjects.

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:

Australasian Joint Conference on Artificial Intelligence investigates areas of study like Artificial intelligence, Machine learning, Algorithm, Artificial neural network and Task (project management). The study on Artificial intelligence presented is investigated in conjunction with research in Generalization. Machine learning research in it involves the investigation of Measure (mathematics) studies, all of which are linked to disciplines such as State (computer science), Quotient, Flexibility (engineering) and Robustness (computer science).

It addresses concerns in Algorithm which are intertwined with other disciplines, such as Data stream, Gradient boosting and Rollback. In the conference, Semantic reasoner, Modularity (networks), Leverage (statistics) and Encoding (memory) are investigated in conjunction with one another to address concerns in Artificial neural network research. The concepts on Task (project management) presented in it can also apply to other research fields, including Knowledge transfer, Parametric statistics, Wearable technology, Set (psychology) and Arc routing.

The most cited articles from the last conference are:

  • Online Semi-supervised Learning in Contextual Bandits with Episodic Reward (6 citations)
  • An Information-Theoretic Perspective on Overfitting and Underfitting (4 citations)
  • A Comparison of Machine Learning Methods for Cross-Domain Few-Shot Learning (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 Australasian Joint Conference on Artificial Intelligence (based on the number of publications) are:

  • Mengjie Zhang (47 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Abdul Sattar (18 papers) absent at the last edition,
  • Enes Makalic (16 papers) absent at the last edition,
  • B. John Oommen (16 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Bing Xue (16 papers) published 1 paper at the last edition, 1 less than 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

Only papers with recognized affiliations are considered

The top affiliations publishing at Australasian Joint Conference on Artificial Intelligence (based on the number of publications) are:

  • University of New South Wales (84 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Victoria University of Wellington (65 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Griffith University (42 papers) absent at the last edition,
  • University of Technology, Sydney (41 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • University of Melbourne (37 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 2020 edition, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 39.39% were posted by at least one author from the top 10 institutions publishing at the conference. Another 18.18% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.18% of all publications and 24.24% 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

Other Conferences in Australia

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31st IEEE/ACM International Conference on Program Comprehension

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Deadline: Saturday 10 Dec 2022

31st IEEE/ACM International Conference on Program Comprehension

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Deadline: Saturday 10 Dec 2022

International Conference on Computer and Automation Engineering

Mar 03, 2023 - Mar 05, 2023

Sydney , Australia, Australia

Deadline: Tuesday 20 Dec 2022

Previous Editions

AI 2021 : Australasian Joint Conference on Artificial Intelligence

Dec 01, 2021 - Dec 01, 2021

Sydney , Australia, Australia

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