Baltimore, United States
Submission Deadline: Thursday 27 Jan 2022
Conference Dates: Jul 17, 2022 - Jul 23, 2022
The topics of Artificial intelligence, Machine learning, Algorithm, Mathematical optimization and Pattern recognition are the focal point of discussions in the conference. The conference dives deep in exploring the relationship between the study of Artificial intelligence and Task (project management). Most of the Machine learning studies addressed also intersect with Data mining.
The published articles mostly deal with topics like Artificial intelligence, Machine learning, Pattern recognition, Mathematical optimization and Algorithm. Artificial intelligence study tackled in the published articles is connected to the field of Data mining. Many of the studies tackled in the conference papers connect Machine learning with a similar field of study like Multi-task learning.
The conference mostly deals with topics like Artificial intelligence, Algorithm, Machine learning, Reinforcement learning and Mathematical optimization. In addition to Artificial intelligence research, it aims to explore topics under Generalization, Task (project management) and Pattern recognition. The conference explores topics in Machine learning which can be helpful for research in disciplines like Robustness (computer science) and Code (cryptography).
The studies tackled, which mainly focus on Mathematical optimization, apply to Convergence (routing) as well.
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 International Conference on Machine Learning (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 International Conference on Machine Learning (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 2021 edition, 3.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.58% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.15% of all publications and 31.14% 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.
Jul 18, 2021 - Jul 18, 2021
Jul 17, 2022 - Jul 23, 2022
Baltimore, United States
The 39th International Conference on Machine Learning
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