Nenad Tomasev
Nenad Tomasev
Google DeepMind
Bestätigte E-Mail-Adresse bei ijs.si - Startseite
TitelZitiert vonJahr
Clinically Applicable Deep Learning for Diagnosis and Referral in Retinal Disease
J Defauw, J Ledsam, Romera-Paredes B., N S., T Nenad, B S., A H., ...
Nature Medicine, 2018
2032018
The role of hubness in clustering high-dimensional data
N Tomasev, M Radovanovic, D Mladenic, M Ivanovic
IEEE Transactions on Knowledge and Data Engineering 26 (3), 739-751, 2013
1422013
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 (3), 445-458, 2014
672014
Nearest neighbor voting in high-dimensional data: Learning from past occurrences
N Tomasev, D Mladenic
2011 IEEE 11th International Conference on Data Mining Workshops, 1215-1218, 2011
622011
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
592011
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
582011
Class imbalance and the curse of minority hubs
N Tomašev, D Mladenić
Knowledge-Based Systems 53, 157-172, 2013
482013
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 (3), 445-458, 2014
412014
Hubness-aware shared neighbor distances for high-dimensional -nearest neighbor classification
N Tomašev, D Mladenić
Knowledge and information systems 39 (1), 89-122, 2014
382014
Hubness-aware classification, instance selection and feature construction: Survey and extensions to time-series
N Tomašev, K Buza, K Marussy, PB Kis
Feature selection for data and pattern recognition, 231-262, 2015
372015
The influence of hubness on nearest-neighbor methods in object recognition
N Tomašev, R Brehar, D Mladenić, S Nedevschi
2011 IEEE 7th International Conference on Intelligent Computer Communication …, 2011
302011
Automated analysis of retinal imaging using machine learning techniques for computer vision
JC Jeffrey De Fauw, Pearse Keane1, Nenad Tomasev, Daniel Visentin, George ...
F1000Research, 2016
272016
Hubness-aware kNN classification of high-dimensional data in presence of label noise
N Tomašev, K Buza
Neurocomputing 160, 157-172, 2015
242015
Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification
N Tomašev, D Mladenić
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
232013
A case for hubness removal in high–dimensional multimedia retrieval
D Schnitzer, A Flexer, N Tomašev
European conference on information retrieval, 687-692, 2014
202014
Hubness-based clustering of high-dimensional data
N Tomašev, M Radovanović, D Mladenić, M Ivanović
Partitional clustering algorithms, 353-386, 2015
162015
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans
JC Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera Paredes ...
F1000Research 5, 2016
132016
The role of hubs in cross-lingual supervised document retrieval
N Tomašev, J Rupnik, D Mladenić
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 185-196, 2013
132013
Exploring the hubness-related properties of oceanographic sensor data
N Tomašev, D Mladenić
Proceedings of the SiKDD conference, 2011
132011
Choosing the Metric in High-Dimensional Spaces Based on Hub Analysis.
D Schnitzer, A Flexer, N Tomasev
ESANN, 2014
122014
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20