Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation. - Doni Pracner; Nenad Tomasev; Milos Radovanovic 001; Mirjana Ivanovic (MLDM, 2007)

Automatic Categorization of Human-Coded and Evolved CoreWar Warriors. - Nenad Tomasev; Doni Pracner; Milos Radovanovic 001; Mirjana Ivanovic (PKDD, 2007)

Semantic web wiki: Social network analysis of page editing. - Nenad Tomasev; Dunja Mladenic (ITI, 2009)

Social Network Analysis of Ontology Edit Logs. - Nenad Tomasev; Dunja Mladenic (J. Comput. Inf. Technol., 2010)

A probabilistic approach to nearest-neighbor classification: naive hubness bayesian kNN. - Nenad Tomasev; Milos Radovanovic 001; Dunja Mladenic; Mirjana Ivanovic (CIKM, 2011)

The influence of hubness on nearest-neighbor methods in object recognition. - Nenad Tomasev; Raluca Brehar; Dunja Mladenic; Sergiu Nedevschi (ICCP, 2011)

OntoGen extension for exploring image collections. - Nenad Tomasev; Blaz Fortuna; Dunja Mladenic (ICCP, 2011)

Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification. - Nenad Tomasev; Milos Radovanovic 001; Dunja Mladenic; Mirjana Ivanovic (MLDM, 2011)

Nearest neighbor voting in high dimensional data: Learning from past occurrences. - Nenad Tomasev; Dunja Mladenic (Comput. Sci. Inf. Syst., 2012)

Exploiting hubs for self-adaptive secondary re-ranking in bug report duplicate detection. - Nenad Tomasev; Gregor Leban; Dunja Mladenic (ITI, 2013)

The Role of Hubs in Cross-Lingual Supervised Document Retrieval. - Nenad Tomasev; Jan Rupnik; Dunja Mladenic (PAKDD (2), 2013)

Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification. - Nenad Tomasev; Dunja Mladenic (ECML/PKDD (2), 2013)

Class imbalance and the curse of minority hubs. - Nenad Tomasev; Dunja Mladenic (Knowl. Based Syst., 2013)

A Case for Hubness Removal in High-Dimensional Multimedia Retrieval. - Dominik Schnitzer; Arthur Flexer; Nenad Tomasev (ECIR, 2014)

Boosting for Vote Learning in High-Dimensional kNN Classification. - Nenad Tomasev (ICDM Workshops, 2014)

The Role Of Hubness in High-dimensional Data Analysis. - Nenad Tomasev (Informatica (Slovenia), 2014)

Hubness-aware shared neighbor distances for high-dimensional $$k$$ -nearest neighbor classification. - Nenad Tomasev; Dunja Mladenic (Knowl. Inf. Syst., 2014)

Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification. - Nenad Tomasev; Milos Radovanovic 001; Dunja Mladenic; Mirjana Ivanovic (Int. J. Mach. Learn. Cybern., 2014)

The Role of Hubness in Clustering High-Dimensional Data. - Nenad Tomasev; Milos Radovanovic 001; Dunja Mladenic; Mirjana Ivanovic (IEEE Trans. Knowl. Data Eng., 2014)

Taming the Empirical Hubness Risk in Many Dimensions. - Nenad Tomasev (SDM, 2015)

Hubness-aware kNN classification of high-dimensional data in presence of label noise. - Nenad Tomasev; Krisztián Búza (Neurocomputing, 2015)

Image hub explorer: evaluating representations and metrics for content-based image retrieval and object recognition. - Nenad Tomasev; Dunja Mladenic (Multim. Tools Appl., 2015)

Hubness-Aware Classification, Instance Selection and Feature Construction: Survey and Extensions to Time-Series. - Nenad Tomasev; Krisztián Búza; Kristóf Marussy; Piroska B. Kis (Feature Selection for Data and Pattern Recognition, 2015)

Correcting the hub occurrence prediction bias in many dimensions. - Nenad Tomasev; Krisztián Búza; Dunja Mladenic (Comput. Sci. Inf. Syst., 2016)

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. - Carlton Chu; Jeffrey De Fauw; Nenad Tomasev; Bernardino Romera-Paredes; Cían Hughes; Joseph R. Ledsam; Trevor Back; Hugh Montgomery; Geraint Rees 001; Rosalind Raine; Kevin Sullivan; Syed Ali Moinuddin; et al. (F1000Research, 2016)

Automated analysis of retinal imaging using machine learning techniques for computer vision. - Jeffrey De Fauw; Pearse A. Keane; Nenad Tomasev; Daniel Visentin; George van den Driessche 002; Mike Johnson; Cían Hughes; Carlton Chu; Joseph R. Ledsam; Trevor Back; Tunde Peto; Geraint Rees 001; et al. (F1000Research, 2016)

Extracting the patterns of truthfulness from political information systems in Serbia. - Nenad Tomasev (Inf. Syst. Frontiers, 2017)

Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess. - Nenad Tomasev; Ulrich Paquet; Demis Hassabis; Vladimir Kramnik (CoRR, 2020)

Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. - Nenad Tomasev; Kevin R. McKee; Jackie Kay; Shakir Mohamed (AIES, 2021)

Concept-based model explanations for electronic health records. - Diana Mincu; Eric Loreaux; Shaobo Hou; Sebastien Baur; Ivan Protsyuk; Martin Seneviratne; Anne Mottram; Nenad Tomasev; Alan Karthikesalingam; Jessica Schrouff (CHIL, 2021)

Acquisition of Chess Knowledge in AlphaZero. - Thomas McGrath; Andrei Kapishnikov; Nenad Tomasev; Adam Pearce; Demis Hassabis; Been Kim; Ulrich Paquet; Vladimir Kramnik (CoRR, 2021)

The signature and cusp geometry of hyperbolic knots. - Alex Davies; András Juhász; Marc Lackenby; Nenad Tomasev (CoRR, 2021)

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. - Subhrajit Roy; Diana Mincu; Eric Loreaux; Anne Mottram; Ivan Protsyuk; Natalie Harris; Yuan Xue; Jessica Schrouff; Hugh Montgomery; Alistair Connell; Nenad Tomasev; Alan Karthikesalingam; et al. (J. Am. Medical Informatics Assoc., 2021)

Advancing mathematics by guiding human intuition with AI. - 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; et al. (Nat., 2021)

Disability prediction in multiple sclerosis using performance outcome measures and demographic data. - Subhrajit Roy; Diana Mincu; Lev Proleev; Negar Rostamzadeh; Chintan Ghate; Natalie Harris; Christina Chen; Jessica Schrouff; Nenad Tomasev; Fletcher Lee Hartsell; Katherine A. Heller (CHIL, 2022)

Reimagining chess with AlphaZero. - Nenad Tomasev; Ulrich Paquet; Demis Hassabis; Vladimir Kramnik (Commun. ACM, 2022)

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? - Nenad Tomasev; Ioana Bica; Brian McWilliams; Lars Buesing; Razvan Pascanu; Charles Blundell; Jovana Mitrovic (CoRR, 2022)

Detecting and Preventing Shortcut Learning for Fair Medical AI using Shortcut Testing (ShorT). - Alexander Brown; Nenad Tomasev; Jan Freyberg; Yuan Liu; Alan Karthikesalingam; Jessica Schrouff (CoRR, 2022)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations. - Matko Bosnjak; Pierre Harvey Richemond; Nenad Tomasev; Florian Strub; Jacob C. Walker; Felix Hill; Lars Holger Buesing; Razvan Pascanu; Charles Blundell; Jovana Mitrovic (ICLR, 2023)

Towards Expert-Level Medical Question Answering with Large Language Models. - Karan Singhal; Tao Tu 001; Juraj Gottweis; Rory Sayres; Ellery Wulczyn; Le Hou; Kevin Clark; Stephen Pfohl; Heather Cole-Lewis; Darlene Neal; Mike Schaekermann; Amy Wang; et al. (CoRR, 2023)

Diversifying AI: Towards Creative Chess with AlphaZero. - Tom Zahavy; Vivek Veeriah; Shaobo Hou; Kevin Waugh; Matthew Lai; Edouard Leurent; Nenad Tomasev; Lisa Schut; Demis Hassabis; Satinder Singh 001 (CoRR, 2023)

TacticAI: an AI assistant for football tactics. - Zhe Wang 055; Petar Velickovic; Daniel Hennes; Nenad Tomasev; Laurel Prince; Michael Kaisers; Yoram Bachrach; Romuald Elie; Li Kevin Wenliang; Federico Piccinini; William Spearman; Ian Graham; et al. (CoRR, 2023)

Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero. - Lisa Schut; Nenad Tomasev; Tom McGrath; Demis Hassabis; Ulrich Paquet; Been Kim (CoRR, 2023)

Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task. - Jannik Kossen; Catalina Cangea; Eszter Vértes; Andrew Jaegle; Viorica Patraucean; Ira Ktena; Nenad Tomasev; Danielle Belgrave (Trans. Mach. Learn. Res., 2023)

Towards Conversational Diagnostic AI. - Tao Tu 001; Anil Palepu; Mike Schaekermann; Khaled Saab 003; Jan Freyberg; Ryutaro Tanno; Amy Wang; Brenna Li; Mohamed Amin; Nenad Tomasev; Shekoofeh Azizi; Karan Singhal; et al. (CoRR, 2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - 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; et al. (CoRR, 2024)

The Ethics of Advanced AI Assistants. - 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; et al. (CoRR, 2024)

Capabilities of Gemini Models in Medicine. - Khaled Saab 003; Tao Tu 001; Wei-Hung Weng; Ryutaro Tanno; David Stutz; Ellery Wulczyn; Fan Zhang; Tim Strother; Chunjong Park; Elahe Vedadi; Juanma Zambrano Chaves; Szu-Yeu Hu; et al. (CoRR, 2024)

Mitigating LLM Hallucinations via Conformal Abstention. - Yasin Abbasi-Yadkori; Ilja Kuzborskij; David Stutz; András György 001; Adam Fisch; Arnaud Doucet; Iuliya Beloshapka; Wei-Hung Weng; Yao-Yuan Yang; Csaba Szepesvári; Ali Taylan Cemgil; Nenad Tomasev (CoRR, 2024)

(Unfair) Norms in Fairness Research: A Meta-Analysis. - Jennifer Chien; A. Stevie Bergman; Kevin R. McKee; Nenad Tomasev; Vinodkumar Prabhakaran; Rida Qadri; Nahema Marchal; William Isaac 001 (CoRR, 2024)

The unknotting number, hard unknot diagrams, and reinforcement learning. - Taylor Applebaum; Sam Blackwell; Alex Davies; Thomas Edlich; András Juhász; Marc Lackenby; Nenad Tomasev; Daniel Zheng (CoRR, 2024)

Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases. - 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 (CoRR, 2024)

Mastering Board Games by External and Internal Planning with Language Models. - John Schultz; Jakub Adámek; Matej Jusup; Marc Lanctot; Michael Kaisers; Sarah Perrin; Daniel Hennes; Jeremy Shar; Cannada Lewis; Anian Ruoss; Tom Zahavy; Petar Velickovic; et al. (CoRR, 2024)

Manifestations of xenophobia in AI systems. - Nenad Tomasev; Jonathan Leader Maynard; Iason Gabriel (AI Soc., 2025)

Towards an AI co-scientist. - Juraj Gottweis; Wei-Hung Weng; Alexander N. Daryin; Tao Tu 001; Anil Palepu; Petar Sirkovic; Artiom Myaskovsky; Felix Weissenberger; Keran Rong; Ryutaro Tanno; Khaled Saab 003; Dan Popovici; et al. (CoRR, 2025)

Advancing Conversational Diagnostic AI with Multimodal Reasoning. - Khaled Saab 003; 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; et al. (CoRR, 2025)

Towards physician-centered oversight of conversational diagnostic AI. - 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; et al. (CoRR, 2025)