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Nemanja Djuric
Researcher at Uber
Publications - 89
Citations - 4114
Nemanja Djuric is an academic researcher from Uber . The author has contributed to research in topics: Web search query & Context (language use). The author has an hindex of 25, co-authored 88 publications receiving 3255 citations. Previous affiliations of Nemanja Djuric include Yahoo! & Temple University.
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Journal ArticleDOI
A large-scale evaluation of computational protein function prediction
Predrag Radivojac,Wyatt T. Clark,Tal Ronnen Oron,Alexandra M. Schnoes,Tobias Wittkop,Artem Sokolov,Artem Sokolov,Kiley Graim,Christopher S. Funk,Karin Verspoor,Asa Ben-Hur,Gaurav Pandey,Gaurav Pandey,Jeffrey M. Yunes,Ameet Talwalkar,Susanna Repo,Susanna Repo,Michael L Souza,Damiano Piovesan,Rita Casadio,Zheng Wang,Jianlin Cheng,Hai Fang,Julian Gough,Patrik Koskinen,Petri Törönen,Jussi Nokso-Koivisto,Liisa Holm,Domenico Cozzetto,Daniel W. A. Buchan,Kevin Bryson,David T. Jones,Bhakti Limaye,Harshal Inamdar,Avik Datta,Sunitha K Manjari,Rajendra Joshi,Meghana Chitale,Daisuke Kihara,Andreas Martin Lisewski,Serkan Erdin,Eric Venner,Olivier Lichtarge,Robert Rentzsch,Haixuan Yang,Alfonso E. Romero,Prajwal Bhat,Alberto Paccanaro,Tobias Hamp,Rebecca Kaßner,Stefan Seemayer,Esmeralda Vicedo,Christian Schaefer,Dominik Achten,Florian Auer,Ariane Boehm,Tatjana Braun,Maximilian Hecht,Mark Heron,Peter Hönigschmid,Thomas A. Hopf,Stefanie Kaufmann,Michael Kiening,Denis Krompass,Cedric Landerer,Yannick Mahlich,Manfred Roos,Jari Björne,Tapio Salakoski,Andrew Wong,Hagit Shatkay,Hagit Shatkay,Fanny Gatzmann,Ingolf Sommer,Mark N. Wass,Michael J.E. Sternberg,Nives Škunca,Fran Supek,Matko Bošnjak,Panče Panov,Sašo Džeroski,Tomislav Šmuc,Yiannis A. I. Kourmpetis,Yiannis A. I. Kourmpetis,Aalt D. J. van Dijk,Cajo J. F. ter Braak,Yuanpeng Zhou,Qingtian Gong,Xinran Dong,Weidong Tian,Marco Falda,Paolo Fontana,Enrico Lavezzo,Barbara Di Camillo,Stefano Toppo,Liang Lan,Nemanja Djuric,Yuhong Guo,Slobodan Vucetic,Amos Marc Bairoch,Amos Marc Bairoch,Michal Linial,Patricia C. Babbitt,Steven E. Brenner,Christine A. Orengo,Burkhard Rost,Sean D. Mooney,Iddo Friedberg +107 more
TL;DR: Today's best protein function prediction algorithms substantially outperform widely used first-generation methods, with large gains on all types of targets, and there is considerable need for improvement of currently available tools.
Proceedings ArticleDOI
Hate Speech Detection with Comment Embeddings
Nemanja Djuric,Jing Zhou,Robin D. Morris,Mihajlo Grbovic,Vladan Radosavljevic,Narayan Bhamidipati +5 more
TL;DR: This work proposes to learn distributed low-dimensional representations of comments using recently proposed neural language models, that can then be fed as inputs to a classification algorithm, resulting in highly efficient and effective hate speech detectors.
Proceedings ArticleDOI
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui,Vladan Radosavljevic,Fang-Chieh Chou,Tsung-Han Lin,Thi Nguyen,Tzu-Kuo Huang,Jeff Schneider,Nemanja Djuric +7 more
TL;DR: This work presents a method to predict multiple possible trajectories of actors while also estimating their probabilities, and successfully tested on SDVs in closed-course tests.
Proceedings ArticleDOI
E-commerce in Your Inbox: Product Recommendations at Scale
Mihajlo Grbovic,Vladan Radosavljevic,Nemanja Djuric,Narayan Bhamidipati,Jaikit Savla,Varun Bhagwan,Doug Sharp +6 more
TL;DR: In this article, a system that leverages user purchase history determined from e-mail receipts to deliver highly personalized product ads to Yahoo Mail users is described, which was evaluated against baselines that included showing popular products and products predicted based on co-occurrence.
Proceedings ArticleDOI
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
Nemanja Djuric,Vladan Radosavljevic,Henggang Cui,Thi Nguyen,Fang-Chieh Chou,Tsung-Han Lin,Nitin Singh,Jeff Schneider +7 more
TL;DR: A deep learning-based approach that takes into account a current world state and produces raster images of each actor’s vicinity that is used to infer future movement of actors while also accounting for and capturing inherent uncertainty of the prediction task.