Nenad Tomasev
Nenad Tomasev
Google DeepMind
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Zitiert von
Zitiert von
Jahr
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
5582018
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
1632013
A clinically applicable approach to continuous prediction of future acute kidney injury
Nature 572 (7767), 116-119, 2019
1352019
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
742014
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
642011
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
632011
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
602011
Class imbalance and the curse of minority hubs
N Tomašev, D Mladenić
Knowledge-Based Systems 53, 157-172, 2013
512013
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
472014
Hubness-aware shared neighbor distances for high-dimensional -nearest neighbor classification
N Tomašev, D Mladenić
Knowledge and information systems 39 (1), 89-122, 2014
452014
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
402015
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
342016
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
332011
Hubness-aware kNN classification of high-dimensional data in presence of label noise
N Tomašev, K Buza
Neurocomputing 160, 157-172, 2015
292015
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
282013
A case for hubness removal in high–dimensional multimedia retrieval
D Schnitzer, A Flexer, N Tomašev
European conference on information retrieval, 687-692, 2014
212014
Hubness-based clustering of high-dimensional data
N Tomašev, M Radovanović, D Mladenić, M Ivanović
Partitional clustering algorithms, 353-386, 2015
202015
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
182016
Choosing the Metric in High-Dimensional Spaces Based on Hub Analysis.
D Schnitzer, A Flexer, N Tomasev
ESANN, 2014
142014
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
142013
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