Nenad Tomasev

75 papers A* 3A 3B 2C 1Journal 51Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Intelligent AI Delegation.
CoRR
Nenad Tomasev, Matija Franklin, Simon Osindero
2025 J jnl
Advancing Conversational Diagnostic AI with Multimodal Reasoning.
CoRR
Khaled Saab, Jan Freyberg, Chunjong Park, Tim Strother, Yong Cheng, Wei-Hung Weng, David G. T. Barrett, David Stutz, Nenad Tomasev, Anil Palepu, Valentin Liévin, Yash Sharma, Roma Ruparel, Abdullah Ahmed, Elahe Vedadi, Kimberly Kanada, Cían Hughes, Yun Liu, Geoff Brown, Yang Gao, Sean Li, S. Sara Mahdavi, James Manyika, Katherine Chou, Yossi Matias, Avinatan Hassidim, Dale R. Webster, Pushmeet Kohli, S. M. Ali Eslami, Joelle K. Barral, Adam Rodman, Vivek Natarajan, Mike Schaekermann, Tao Tu, Alan Karthikesalingam, Ryutaro Tanno
2025 A* conf
Discovering Symbolic Cognitive Models from Human and Animal Behavior.
ICML
Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Noémi Élteto, Will Dabney, Alexander Novikov, Glenn C. Turner, Maria K. Eckstein, Nathaniel D. Daw, Kevin J. Miller, Kim Stachenfeld
2025 J jnl
Distributional AGI Safety.
CoRR
Nenad Tomasev, Matija Franklin, Julian Jacobs, Sébastien Krier, Simon Osindero
2025 J jnl
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions.
CoRR
Vivek Veeriah, Federico Barbero, Marcus Chiam, Xidong Feng, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Johan Obando-Ceron, Jiaxin Shi, Shaobo Hou, Satinder Singh, Nenad Tomasev, Tom Zahavy
2025 J jnl
Generating Creative Chess Puzzles.
CoRR
Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Federico Barbero, Johan Obando-Ceron, Jiaxin Shi, Satinder Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy
2025 J jnl
Manifestations of xenophobia in AI systems.
AI Soc.
Nenad Tomasev, Jonathan Leader Maynard, Iason Gabriel
2025 A* conf
Mastering Board Games by External and Internal Planning with Language Models.
ICML
John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2025 J jnl
Towards an AI co-scientist.
CoRR
Juraj Gottweis, Wei-Hung Weng, Alexander N. Daryin, Tao Tu, Anil Palepu, Petar Sirkovic, Artiom Myaskovsky, Felix Weissenberger, Keran Rong, Ryutaro Tanno, Khaled Saab, Dan Popovici, Jacob Blum, Fan Zhang, Katherine Chou, Avinatan Hassidim, Burak Gokturk, Amin Vahdat, Pushmeet Kohli, Yossi Matias, Andrew Carroll, Kavita Kulkarni, Nenad Tomasev, Yuan Guan, Vikram Dhillon, Eeshit Dhaval Vaishnav, Byron Lee, Tiago R. D. Costa, José R. Penadés, Gary Peltz, Yunhan Xu, Annalisa Pawlosky, Alan Karthikesalingam, Vivek Natarajan
2025 J jnl
Towards physician-centered oversight of conversational diagnostic AI.
CoRR
Elahe Vedadi, David G. T. Barrett, Natalie Harris, Ellery Wulczyn, Shashir Reddy, Roma Ruparel, Mike Schaekermann, Tim Strother, Ryutaro Tanno, Yash Sharma, Jihyeon Lee, Cían Hughes, Dylan Slack, Anil Palepu, Jan Freyberg, Khaled Saab, Valentin Liévin, Wei-Hung Weng, Tao Tu, Yun Liu, Nenad Tomasev, Kavita Kulkarni, S. Sara Mahdavi, Kelvin Guu, Joelle K. Barral, Dale R. Webster, James Manyika, Avinatan Hassidim, Katherine Chou, Yossi Matias, Pushmeet Kohli, Adam Rodman, Vivek Natarajan, Alan Karthikesalingam, David Stutz
2025 J jnl
Virtual Agent Economies.
CoRR
Nenad Tomasev, Matija Franklin, Joel Z. Leibo, Julian Jacobs, William A. Cunningham, Iason Gabriel, Simon Osindero
2024 J jnl
(Unfair) Norms in Fairness Research: A Meta-Analysis.
CoRR
Jennifer Chien, A. Stevie Bergman, Kevin R. McKee, Nenad Tomasev, Vinodkumar Prabhakaran, Rida Qadri, Nahema Marchal, William Isaac
2024 J jnl
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models.
CoRR
Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah DeWitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal
2024 J jnl
Capabilities of Gemini Models in Medicine.
CoRR
Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan
2024 J jnl
Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases.
CoRR
Mercy Nyamewaa Asiedu, Nenad Tomasev, Chintan Ghate, Tiya Tiyasirichokchai, Awa Dieng, Oluwatosin Akande, Geoffrey Siwo, Steve Adudans, Sylvanus Aitkins, Odianosen Ehiakhamen, Eric Ndombi, Katherine A. Heller
2024 J jnl
Mastering Board Games by External and Internal Planning with Language Models.
CoRR
John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2024 J jnl
Mitigating LLM Hallucinations via Conformal Abstention.
CoRR
Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev
2024 J jnl
The Ethics of Advanced AI Assistants.
CoRR
Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika
2024 J jnl
The unknotting number, hard unknot diagrams, and reinforcement learning.
CoRR
Taylor Applebaum, Sam Blackwell, Alex Davies, Thomas Edlich, András Juhász, Marc Lackenby, Nenad Tomasev, Daniel Zheng
2024 J jnl
Towards Conversational Diagnostic AI.
CoRR
Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, Shekoofeh Azizi, Karan Singhal, Yong Cheng, Le Hou, Albert Webson, Kavita Kulkarni, S. Sara Mahdavi, Christopher Semturs, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Alan Karthikesalingam, Vivek Natarajan
2023 J jnl
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task.
Trans. Mach. Learn. Res.
Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
2023 J jnl
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero.
CoRR
Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim
2023 J jnl
Diversifying AI: Towards Creative Chess with AlphaZero.
CoRR
Tom Zahavy, Vivek Veeriah, Shaobo Hou, Kevin Waugh, Matthew Lai, Edouard Leurent, Nenad Tomasev, Lisa Schut, Demis Hassabis, Satinder Singh
2023 A* conf
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations.
ICLR
Matko Bosnjak, Pierre Harvey Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023 J jnl
SemPPL: Predicting pseudo-labels for better contrastive representations.
CoRR
Matko Bosnjak, Pierre H. Richemond, Nenad Tomasev, Florian Strub, Jacob C. Walker, Felix Hill, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2023 J jnl
TacticAI: an AI assistant for football tactics.
CoRR
Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
2023 J jnl
Towards Expert-Level Medical Question Answering with Large Language Models.
CoRR
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Andrew Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle K. Barral, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan
2022 J jnl
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task.
CoRR
Jannik Kossen, Catalina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave
2022 J jnl
Detecting and Preventing Shortcut Learning for Fair Medical AI using Shortcut Testing (ShorT).
CoRR
Alexander Brown, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam, Jessica Schrouff
2022 — conf
Disability prediction in multiple sclerosis using performance outcome measures and demographic data.
CHIL
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022 J jnl
Disability prediction in multiple sclerosis using performance outcome measures and demographic data.
CoRR
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022 J jnl
Large Language Models Encode Clinical Knowledge.
CoRR
Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan
2022 J jnl
Manifestations of Xenophobia in AI Systems.
CoRR
Nenad Tomasev, Jonathan Leader Maynard, Iason Gabriel
2022 J jnl
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
CoRR
Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic
2022 J jnl
Reimagining chess with AlphaZero.
Commun. ACM
Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik
2021 J jnl
Acquisition of Chess Knowledge in AlphaZero.
CoRR
Thomas McGrath, Andrei Kapishnikov, Nenad Tomasev, Adam Pearce, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik
2021 J jnl
Advancing mathematics by guiding human intuition with AI.
Nat.
Alex Davies, Petar Velickovic, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomasev, Richard Tanburn, Peter W. Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli
2021 — conf
Concept-based model explanations for electronic health records.
CHIL
Diana Mincu, Eric Loreaux, Shaobo Hou, Sebastien Baur, Ivan Protsyuk, Martin Seneviratne, Anne Mottram, Nenad Tomasev, Alan Karthikesalingam, Jessica Schrouff
2021 C conf
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities.
AIES
Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed
2021 J jnl
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities.
CoRR
Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed
2021 J jnl
Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing.
J. Am. Medical Informatics Assoc.
Subhrajit Roy, Diana Mincu, Eric Loreaux, Anne Mottram, Ivan Protsyuk, Natalie Harris, Yuan Xue, Jessica Schrouff, Hugh Montgomery, Alistair Connell, Nenad Tomasev, Alan Karthikesalingam, Martin Seneviratne
2021 J jnl
The signature and cusp geometry of hyperbolic knots.
CoRR
Alex Davies, András Juhász, Marc Lackenby, Nenad Tomasev
2020 J jnl
Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess.
CoRR
Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik
2020 J jnl
Concept-based model explanations for Electronic Health Records.
CoRR
Sebastien Baur, Shaobo Hou, Eric Loreaux, Diana Mincu, Anne Mottram, Ivan Protsyuk, Nenad Tomasev, Martin G. Seneviratne, Alan Karthikesalingam, Jessica Schrouff
2017 J jnl
Extracting the patterns of truthfulness from political information systems in Serbia.
Inf. Syst. Frontiers
Nenad Tomasev
2016 J jnl
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.
F1000Research
Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera-Paredes, Cían Hughes, Joseph R. Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees, Rosalind Raine, Kevin Sullivan, Syed Ali Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise
2016 J jnl
Automated analysis of retinal imaging using machine learning techniques for computer vision.
F1000Research
Jeffrey De Fauw, Pearse A. Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cían Hughes, Carlton Chu, Joseph R. Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise
2016 J jnl
Correcting the hub occurrence prediction bias in many dimensions.
Comput. Sci. Inf. Syst.
Nenad Tomasev, Krisztián Búza, Dunja Mladenic
2015 — ch.
Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series.
Feature Selection for Data and Pattern Recognition
Nenad Tomasev, Krisztián Búza, Kristóf Marussy, Piroska B. Kis
2015 J jnl
Hubness-aware kNN classification of high-dimensional data in presence of label noise.
Neurocomputing
Nenad Tomasev, Krisztián Búza
2015 J jnl
Image hub explorer: evaluating representations and metrics for content-based image retrieval and object recognition.
Multim. Tools Appl.
Nenad Tomasev, Dunja Mladenic
2015 A conf
Taming the Empirical Hubness Risk in Many Dimensions.
SDM
Nenad Tomasev
2014 A conf
A Case for Hubness Removal in High-Dimensional Multimedia Retrieval.
ECIR
Dominik Schnitzer, Arthur Flexer, Nenad Tomasev
2014 — conf
Boosting for Vote Learning in High-Dimensional kNN Classification.
ICDM Workshops
Nenad Tomasev
2014 J jnl
Hubness-aware shared neighbor distances for high-dimensional $$k$$ -nearest neighbor classification.
Knowl. Inf. Syst.
Nenad Tomasev, Dunja Mladenic
2014 J jnl
Hubness-based fuzzy measures for high-dimensional
Int. J. Mach. Learn. Cybern.
Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic
2014 J jnl
The Role Of Hubness in High-dimensional Data Analysis.
Informatica (Slovenia)
Nenad Tomasev
2014 J jnl
The Role of Hubness in Clustering High-Dimensional Data.
IEEE Trans. Knowl. Data Eng.
Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic
2013 J jnl
Class imbalance and the curse of minority hubs.
Knowl. Based Syst.
Nenad Tomasev, Dunja Mladenic
2013 — conf
Exploiting hubs for self-adaptive secondary re-ranking in bug report duplicate detection.
ITI
Nenad Tomasev, Gregor Leban, Dunja Mladenic
2013 — conf
Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification.
ECML/PKDD (2)
Nenad Tomasev, Dunja Mladenic
2013 — conf
Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object Recognition.
ECML/PKDD (3)
Nenad Tomasev, Dunja Mladenic
2013 — conf
The Role of Hubs in Cross-Lingual Supervised Document Retrieval.
PAKDD (2)
Nenad Tomasev, Jan Rupnik, Dunja Mladenic
2012 — conf
Hubness-Aware Shared Neighbor Distances for High-Dimensional k-Nearest Neighbor Classification.
HAIS (2)
Nenad Tomasev, Dunja Mladenic
2012 J jnl
Nearest neighbor voting in high dimensional data: Learning from past occurrences.
Comput. Sci. Inf. Syst.
Nenad Tomasev, Dunja Mladenic
2011 A conf
A probabilistic approach to nearest-neighbor classification: naive hubness bayesian kNN.
CIKM
Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic
2011 — conf
Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification.
MLDM
Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic
2011 — conf
Nearest Neighbor Voting in High-Dimensional Data: Learning from Past Occurrences.
ICDM Workshops
Nenad Tomasev, Dunja Mladenic
2011 B conf
OntoGen extension for exploring image collections.
ICCP
Nenad Tomasev, Blaz Fortuna, Dunja Mladenic
2011 — conf
The Role of Hubness in Clustering High-Dimensional Data.
PAKDD (1)
Nenad Tomasev, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic
2011 B conf
The influence of hubness on nearest-neighbor methods in object recognition.
ICCP
Nenad Tomasev, Raluca Brehar, Dunja Mladenic, Sergiu Nedevschi
2010 J jnl
Social Network Analysis of Ontology Edit Logs.
J. Comput. Inf. Technol.
Nenad Tomasev, Dunja Mladenic
2009 — conf
Semantic web wiki: Social network analysis of page editing.
ITI
Nenad Tomasev, Dunja Mladenic
2007 — conf
Automatic Categorization of Human-Coded and Evolved CoreWar Warriors.
PKDD
Nenad Tomasev, Doni Pracner, Milos Radovanovic, Mirjana Ivanovic
2007 — conf
Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation.
MLDM
Doni Pracner, Nenad Tomasev, Milos Radovanovic, Mirjana Ivanovic