Mattiev, Jamolbek
Kavšek, Branko
Chapter History
First Online: 8 January 2021
Change Date: 30 March 2021
Change Type: Correction
Change Details: The original version of chapter 2 was inadvertently published with wrong RTS values in Table 3: “Results comparison with RTS, S, and SVM<sup>light</sup> with standard linear loss with a 10-fold cross validation procedure.”
Change Details: The RTS values were corrected by replacing the wrong values with the appropriate ones.
Change Details: The footnote reads “<sup>1</sup>Code is available at:
Change Details: https://osf.io/fbzsc/
Change Details: ” and has been added to the last sentence in the abstract.
Change Details: The original version of chapter 34 was inadvertently published with incorrect allocations between authors and affiliations resp. one affiliation was entirely missing.
Change Details: The affiliations have been corrected and read as follows: <sup>1</sup>University of Primorska, Koper, Slovenia; <sup>2</sup>Jožef Stefan Institute, Ljubljana, Slovenia; and <sup>3</sup>Urgench State University, Urgench, Uzbekistan. The authors' affiliations are: Jamolbek Mattiev<sup>1,3</sup> and Branko Kavšek<sup>1,2</sup>.
Conference Information
Conference Acronym: LOD
Conference Name: International Conference on Machine Learning, Optimization, and Data Science
Conference City: Siena
Conference Country: Italy
Conference Year: 2020
Conference Start Date: 19 July 2020
Conference End Date: 23 July 2020
Conference Number: 6
Conference ID: mod2020
Conference URL: https://lod2020.icas.xyz/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: in-house system and easychair
Number of Submissions Sent for Review: 209
Number of Full Papers Accepted: 116
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 56% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 5-6
Average Number of Papers per Reviewer: 1-2
External Reviewers Involved: Yes