Nenad Tomasev
Title
Cited by
Cited by
Year
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
11752018
A clinically applicable approach to continuous prediction of future acute kidney injury
Nature 572 (7767), 116-119, 2019
3752019
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
1882013
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
792014
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
692011
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
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
642011
Class imbalance and the curse of minority hubs
N Tomašev, D Mladenić
Knowledge-Based Systems 53, 157-172, 2013
522013
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
492014
Hubness-aware shared neighbor distances for high-dimensional -nearest neighbor classification
N Tomašev, D Mladenić
Knowledge and information systems 39 (1), 89-122, 2014
492014
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
462016
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
442015
Hubness-aware kNN classification of high-dimensional data in presence of label noise
N Tomašev, K Buza
Neurocomputing 160, 157-172, 2015
362015
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
342011
AI for social good: unlocking the opportunity for positive impact
N Tomašev, J Cornebise, F Hutter, S Mohamed, A Picciariello, B Connelly, ...
Nature Communications 11 (1), 1-6, 2020
332020
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
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
232016
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
Clustering evaluation in high-dimensional data
N Tomašev, M Radovanović
Unsupervised learning algorithms, 71-107, 2016
192016
Hubness-based clustering of high-dimensional data
N Tomašev, M Radovanović, D Mladenić, M Ivanović
Partitional clustering algorithms, 353-386, 2015
192015
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