Folgen
Miloš Radovanović
Miloš Radovanović
Sonstige NamenMilos Radovanovic
Professor of Computer Science, Faculty of Sciences, University of Novi Sad, Serbia
Bestätigte E-Mail-Adresse bei dmi.uns.ac.rs - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Hubs in space: Popular nearest neighbors in high-dimensional data
M Radovanović, A Nanopoulos, M Ivanović
Journal of Machine Learning Research 11, 2487-2531, 2010
7722010
Reverse nearest neighbors in unsupervised distance-based outlier detection
M Radovanović, A Nanopoulos, M Ivanović
IEEE transactions on knowledge and data engineering 27 (5), 1369-1382, 2015
2572015
The role of hubness in clustering high-dimensional data
N Tomasev, M Radovanovic, D Mladenic, M Ivanovic
Knowledge and Data Engineering, IEEE Transactions on 26 (3), 739-751, 2014
1732014
Nearest neighbors in high-dimensional data: The emergence and influence of hubs
M Radovanović, A Nanopoulos, M Ivanović
26th Annual International Conference on Machine Learning, 865-872, 2009
1322009
Text mining: Approaches and applications
M Radovanović, M Ivanović
Novi Sad J. Math 38 (3), 227-234, 2008
1322008
On the existence of obstinate results in vector space models
M Radovanovic, A Nanopoulos, M Ivanovic
33rd Annual International ACM SIGIR Conference on Research and Development …, 2010
1112010
Time-series classification in many intrinsic dimensions
M Radovanović, A Nanopoulos, M Ivanović
10th SIAM International Conference on Data Mining, 677-688, 2010
932010
A probabilistic approach to nearest-neighbor classification: Naive hubness bayesian knn
N Tomasev, M Radovanović, D Mladenić, M Ivanović
Proceedings of the 20th ACM international conference on Information and …, 2011
782011
The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality
L Amsaleg, J Bailey, D Barbe, S Erfani, ME Houle, V Nguyen, ...
2017 ieee workshop on information forensics and security (wifs), 1-6, 2017
732017
The role of hubness in clustering high-dimensional data
N Tomašev, M Radovanović, D Mladenić, M Ivanović
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 183-195, 2011
682011
The influence of global constraints on similarity measures for time-series databases
V Kurbalija, M Radovanović, Z Geler, M Ivanović
Knowledge-Based Systems 56, 49-67, 2014
662014
Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification
N Tomašev, M Radovanović, D Mladenić, M Ivanović
International Journal of Machine Learning and Cybernetics 5, 445-458, 2014
592014
Comparison of different weighting schemes for the kNN classifier on time-series data
Z Geler, V Kurbalija, M Radovanović, M Ivanović
Knowledge and Information Systems 48 (2), 331-378, 2016
572016
Weighted kNN and constrained elastic distances for time-series classification
Z Geler, V Kurbalija, M Ivanović, M Radovanović
Expert Systems with Applications 162, 113829, 2020
532020
Dynamic time warping: Itakura vs sakoe-chiba
Z Geler, V Kurbalija, M Ivanović, M Radovanović, W Dai
2019 IEEE International Symposium on INnovations in Intelligent SysTems and …, 2019
482019
Intrinsic dimensionality estimation within tight localities
L Amsaleg, O Chelly, ME Houle, KI Kawarabayashi, M Radovanović, ...
Proceedings of the 2019 SIAM international conference on data mining, 181-189, 2019
472019
Clustering evaluation in high-dimensional data
N Tomašev, M Radovanović
Unsupervised learning algorithms, 71-107, 2016
452016
How does high dimensionality affect collaborative filtering?
A Nanopoulos, M Radovanović, M Ivanović
Proceedings of the third ACM conference on Recommender systems, 293-296, 2009
442009
The structure and evolution of scientific collaboration in Serbian mathematical journals
M Savić, M Ivanović, M Radovanović, Z Ognjanović, A Pejović, ...
Scientometrics 101, 1805-1830, 2014
412014
Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification
N Tomašev, M Radovanović, D Mladenić, M Ivanović
International Workshop on Machine Learning and Data Mining in Pattern …, 2011
402011
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20