23 citations · 42 across the 6 of their papers we have counts for
6 papers
Robust and Stable Black Box Explanations
Himabindu Lakkaraju, Nino Arsov, Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there has been a growing interest in developing post hoc explanations that summarize the…
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…
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…
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…
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…
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…