most citedNetwork Embedding: An Overview

23 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG201910 cited

A Measure of Similarity in Textual Data Using Spearman's Rank Correlation Coefficient

Nino Arsov, Milan Dukovski, Blagoja Evkoski +1

In the last decade, many diverse advances have occurred in the field of information extraction from data. Information extraction in its simplest form takes place in computing envir…

cs.LG201923 cited

Network Embedding: An Overview

Nino Arsov, Georgina Mirceva

Networks are one of the most powerful structures for modeling problems in the real world. Downstream machine learning tasks defined on networks have the potential to solve a variet…

cs.LG2019

Prediction of Horizontal Data Partitioning Through Query Execution Cost Estimation

Nino Arsov, Goran Velinov, Aleksandar S. Dimovski +3

The excessively increased volume of data in modern data management systems demands an improved system performance, frequently provided by data distribution, system scalability and…

cs.LG20191 cited

Stability of decision trees and logistic regression

Nino Arsov, Martin Pavlovski, Ljupco Kocarev

Decision trees and logistic regression are one of the most popular and well-known machine learning algorithms, frequently used to solve a variety of real-world problems. Stability…

cs.LG20193 cited

Stacking and stability

Nino Arsov, Martin Pavlovski, Ljupco Kocarev

Stacking is a general approach for combining multiple models toward greater predictive accuracy. It has found various application across different domains, ensuing from its meta-le…