Publications

August 1st, 2015
Presenting my PhD thesis.

Presenting my PhD thesis.

Here is a list of my publications:

Journals:

Nenad Tomašev, Krisztian Buza, Dunja Mladenić: Correcting the Hub Occurrence Prediction Bias in Many Dimensions, Computer Science and Information Systems (Impact Factor: 0.575 (2013)), In Press.

Nenad Tomašev, Krisztian Buza: Hubness-aware kNN Classification of High-dimensional Data in Presence of Label Noise, Neurocomputing: Special Issue on Learning with Label Noise (Impact factor: 2.05 (2013)), In Press, 2014

Nenad Tomašsev: The Role of Hubness in High-dimensional Data Analysis (Ph.D. thesis summary), Informatica, 2015

Nenad Tomašev, Dunja Mladenić: Evaluating Representations and Metrics for Content-based Image Retrieval and Object Recognition Multimedia Tools and Applications (Impact Factor: 1.058 (2013)), DOI:DOI: 10.1007/s11042-014-2254-1 (In Press, 2014)

Nenad Tomašev, Dunja Mladenić: Class Imbalance and The Curse of Minority Hubs, Knowledge Based Systems (Impact Factor: 4.1 (2012)),
DOI: 10.1016/j.knosys.2013.08.031, Volume 53, pages 157 – 172, 2013.

Nenad Tomašev, Milos Radovanović, Dunja Mladenić, Mirjana Ivanović: The Role of Hubness in Clustering High-dimensional Data, IEEE Transactions on Knowledge and Data Engineering (Impact Factor: 1.7 (2011)), 2013. Original article available here.

Nenad Tomašev, Dunja Mladenić: Hubness-aware Shared Neighbor Distances for High-dimensional
k-Nearest Neighbor Classification
, Knowledge and Information Systems (Impact Factor: 2.25 (2011)),
2013. Original article available here.

Nenad Tomašev, Milos Radovanović, Dunja Mladenić, Mirjana Ivanović: Hubness-Based Fuzzy
Measures for High-Dimensional k-Nearest Neighbor Classification, International Journal of Machine Learning and Cybernetics, 2013

Nenad Tomašev, Dunja Mladenić: Nearest Neighbor Voting in High Dimensional Data: Learning from Past Occurrences
. Computer Science and Information Systems, June 2012 (IF: 0.625 (2011))

Nenad Tomašev and Dunja Mladenić: Social Network Analysis of Ontology Edit Logs, CIT Journal, 2010

Book Chapters:

Nenad Tomašev, Milos Radovanović: Clustering Evaluation in High-Dimensional Data, Unsupervised Learning Algorithms, to be published by Springer-Verlag.

Nenad Tomašev, Milos Radovanović, Dunja Mladenić and Mirjana Ivanović: Hubness-Based Clustering of High-Dimensional Data, Partitional Clustering Algorithms, Springer-Verlag, 2015.

Nenad Tomašev, Krisztian Buza, Kristof Marussy, Piroska B. Kis: Hubness-aware Classication, Instance Selection and Feature Construction: Survey and Extensions to Time-Series, In: U. Staczyk, L. Jain (eds.), Feature Selection for Data and Pattern Recognition, Springer-Verlag, 2015.

Conferences:

Nenad Tomašev: Taming the Empirical Hubness Risk in Many Dimensions, SDM (SIAM Data Mining Conference), Vancouver, 2015

Dominik Schnitzer, Arthur Flexer, Nenad Tomašev: A Case for Hubness Removal in High–Dimensional Multimedia Retrieval. ECIR, Amsterdam, 2014

Nenad Tomašev, Dunja Mladenić: Hub Co-occurrence Modeling for Robust High-dimensional kNN Classification. ECML/PKDD, Prague, 2013

Nenad Tomašev, Doni Pracner, Raluca Brehar, Miloš Radovanović, Dunja Mladenić,Mirjana Ivanović, Sergiu Nedevshi: Object Recognition in WIKImage Data Based on Local Invariant Image Features, IEEE ICCP, Cluj, Romania, 2013

Nenad Tomašev, Gregor Leban, Dunja Mladenić Exploiting Hubs for Self-Adaptive Secondary Re-Ranking In Bug Report Duplicate Detection. ITI, Cavtat, 2013

Nenad Tomašev, Jan Rupnik, Dunja Mladenić: The Role of Hubs in Supervised Cross-lingual Document Retrieval
. PAKDD, Gold Coast, 2013

Nenad Tomašev, Dunja Mladenić: Hubness-aware Shared Neighbor Distances for High-dimensional k-Nearest Neighbor Classification
. HAIS, Salamanca, 2012

Doni Pracner, Nenad Tomašev, Milos Radovanović, Dunja Mladenić, Mirjana Ivanović: WIKImage: Correlated Image and Text Datasets. Information Society / SiKDD, Ljubljana, 2011

Nenad Tomašev, Dunja Mladenić: Exploring the Hubness-Related Properties of Oceanographic Sensor Data. Information Society / SiKDD, Ljubljana, 2011

Nenad Tomašev, Dunja Mladenić: The Influence of Weighting the k-occurrences on hubness-aware classification methods. SiKDD, Ljubljana, 2011

Nenad Tomašev, Milos Radovanović, Dunja Mladenić, Mirjana Ivanović: A Probabilistic Approach to Nearest-Neighbor Classification: Naive Hubness Bayesian kNN, CIKM, Glasgow, 2011

Nenad Tomašev, Raluca Brehar, Dunja Mladenić and Sergiu Nedevschi:The Influence of Hubness on Nearest-Neighbor Methods in Object Recognition, ICCP, Cluj, 2011

Nenad Tomašev, Milos Radovanović, Dunja Mladenić and Mirjana Ivanović: Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification, MLDM, New York, 2011, was awarded the Best Paper Award

Nenad Tomašev, Milos Radovanović, Dunja Mladenić and Mirjana Ivanović: The role of hubness in clustering high-dimensional data, PAKDD, Shenzen, 2011, was awarded the Best Research Paper Runner-up Award

Nenad Tomašev and Dunja Mladenić: Two pass k-means algorithm for finding SIFT clusters in an image, Information Society / SiKDD Conference, Ljubljana, October 2010

Nenad Tomašev and Dunja Mladenić: Semantic Web Wiki: Social Network Analysis of Page Editing, ITI Conference, Cavtat, June 2009

Nenad Tomašev and Dragan Masulović: Optimization as a Step in CoreWar Program Analysis, Evolution and Categorization, Information Society / SiKDD Conference, Ljubljana, October 2008

Nenad Tomašev, Doni Pracner, Milos Radovanović, Mirjana Ivanović: Automatic Categorization of Human-coded and Evolved CoreWar warriors, PKDD Conference, Warsaw, September 2007

Doni Pracner, Nenad Tomašev, Milos Radovanović, Mirjana Ivanović: Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation, at MLDM Conference in Leipzig, July 2007

Nenad Tomašev, Doni Pracner, Milos Radovanović, Mirjana Ivanović: Categorizing corewar warriors, PRIM Symposium, Kragujevac, Serbia, 2006

Demo Papers:

Nenad Tomašev, Dunja Mladenić: Evaluating Representations and Metrics for Content-based Image Retrieval and Object Recognition ECML/PKDD, Prague, 2013

Nenad Tomašev, Blaz Fortuna, Dunja Mladenić: OntoGen Extension for Exploring Image Collections, ICCP, Cluj, 2011, demo paper

Workshops:

Nenad Tomašev: Boosting for Vote Learning in High-dimensional kNN Classification. ICDM (International Conference on Data Mining) Workshop on High-Dimensional Data Mining, Shenzhen, 2014

Nenad Tomašev, Dunja Mladenić: Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences. ICDM PhD Forum, Vancouver, 2011

Theses:

Bachelor Thesis: Building a CoreWar Optimizer

PhD Thesis: The Role of Hubness in High-dimensional Data Analysis

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