Nenad Tomasev

Dunja Mladenic, Sergiu Nedevschi, Mirjana Ivanovic, 2013, 2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP).

Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification

Dunja Mladenic, Mirjana Ivanovic, Milos Radovanovic, 2011, International Journal of Machine Learning and Cybernetics.

Concept-based model explanations for electronic health records pdf

Shaobo Hou, Martin G Seneviratne, Nenad Tomasev, 2020, CHIL.

Boosting for Vote Learning in High-Dimensional kNN Classification

Nenad Tomasev, 2014, ICDM Workshops.

The influence of hubness on nearest-neighbor methods in object recognition

Dunja Mladenic, Sergiu Nedevschi, Raluca Brehar, 2011, 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing.

Exploiting hubs for self-adaptive secondary re-ranking in bug report duplicate detection

Dunja Mladenic, Gregor Leban, Nenad Tomasev, 2013, Proceedings of the ITI 2013 35th International Conference on Information Technology Interfaces.

Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation

Mirjana Ivanovic, Milos Radovanovic, Doni Pracner, 2007, MLDM.

Class imbalance and the curse of minority hubs

Dunja Mladenic, Nenad Tomasev, Nenad Tomašev, 2013, Knowl. Based Syst..

Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object Recognition

Dunja Mladenic, Nenad Tomasev, Nenad Tomašev, 2013, ECML/PKDD.

Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences

Dunja Mladenic, Nenad Tomasev, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Image hub explorer: evaluating representations and metrics for content-based image retrieval and object recognition

Dunja Mladenic, Nenad Tomasev, Nenad Tomašev, 2013, Multimedia Tools and Applications.

Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification

Dunja Mladenic, Nenad Tomasev, 2013, ECML/PKDD.

Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series

Kristóf Marussy, Krisztian Buza, Nenad Tomasev, 2015, Feature Selection for Data and Pattern Recognition.

The Role of Hubness in Clustering High-Dimensional Data

Dunja Mladenic, Mirjana Ivanovic, Milos Radovanovic, 2014, IEEE Trans. Knowl. Data Eng..

Nearest neighbor voting in high dimensional data: Learning from past occurrences

Dunja Mladenic, Nenad Tomasev, 2012, Comput. Sci. Inf. Syst..

A Case for Hubness Removal in High-Dimensional Multimedia Retrieval

Arthur Flexer, Dominik Schnitzer, Nenad Tomasev, 2014, ECIR.

Taming the Empirical Hubness Risk in Many Dimensions

Nenad Tomasev, 2015, SDM.

Hubness-aware shared neighbor distances for high-dimensional $$k$$-nearest neighbor classification

Dunja Mladenic, Nenad Tomasev, Nenad Tomašev, 2014, Knowledge and Information Systems.

Hubness-aware kNN classification of high-dimensional data in presence of label noise

Krisztian Buza, Nenad Tomasev, Nenad Tomašev, 2015, Neurocomputing.

The Role Of Hubness in High-dimensional Data Analysis

Nenad Tomasev, Nenad Tomašev, 2014, Informatica.

The signature and cusp geometry of hyperbolic knots pdf

Nenad Tomasev, Marc Lackenby, Alex Davies, 2021, ArXiv.

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing

Subhrajit Roy, Martin Seneviratne, Nenad Tomasev, 2021, J. Am. Medical Informatics Assoc..

Acquisition of Chess Knowledge in AlphaZero pdf

Demis Hassabis, Ulrich Paquet, Thomas McGrath, 2021, ArXiv.

Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities

Jackie Kay, Nenad Tomasev, Kevin R. McKee, 2021, AIES.

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? pdf

Razvan Pascanu, Brian McWilliams, Charles Blundell, 2022, ArXiv.

Automated analysis of retinal imaging using machine learning techniques for computer vision

Geraint Rees, Olaf Ronneberger, Rosalind Raine, 2016, F1000Research.

Automated analysis of retinal imaging using machine learning techniques for computer vision

Geraint Rees, Olaf Ronneberger, Rosalind Raine, 2016, F1000Research.