no code implementations • NAACL (DaSH) 2021 • Saman Enayati, Ziyu Yang, Benjamin Lu, Slobodan Vucetic
Labeling is typically the most human-intensive step during the development of supervised learning models.
1 code implementation • ICML 2020 • Nemanja Djuric, Zhuang Wang, Slobodan Vucetic
Adaptive Multi-hyperplane Machine (AMM) is an online algorithm for learning Multi-hyperplane Machine (MM), a classification model which allows multiple hyperplanes per class.
1 code implementation • 6 Mar 2024 • Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin
In recent years, few-shot and zero-shot learning, which learn to predict labels with limited annotated instances, have garnered significant attention.
1 code implementation • 25 Oct 2022 • Hanzi Xu, Slobodan Vucetic, Wenpeng Yin
To our knowledge, this is the first work that studies stance detection under the open-domain zero-shot setting.
no code implementations • 31 Aug 2022 • Sandro Hauri, Slobodan Vucetic
The objective of this paper is to automatically recognize basketball group activities from tracking data representing locations of players and the ball during a game.
no code implementations • 20 Dec 2021 • Tamara Katic, Martin Pavlovski, Danijela Sekulic, Slobodan Vucetic
The results also demonstrate that the trained model produces reasonable semi-structured representations on an out-of-sample corpus of chest x-ray radiology reports from a different medical provider.
no code implementations • COLING 2020 • Phong Ha, Shanshan Zhang, Nemanja Djuric, Slobodan Vucetic
Embedding of rare and out-of-vocabulary (OOV) words is an important open NLP problem.
no code implementations • 18 Aug 2020 • Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic
National Basketball Association (NBA) players are highly motivated and skilled experts that solve complex decision making problems at every time point during a game.
no code implementations • 14 Aug 2020 • Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard Dragut
We show that the early arrival rate of comments is the best indicator of the eventual number of comments.
no code implementations • ACL 2019 • Aniruddha Maiti, Slobodan Vucetic
Spatial aggregation refers to merging of documents created at the same spatial location.
no code implementations • EMNLP 2018 • Shanshan Zhang, Lihong He, Slobodan Vucetic, Eduard Dragut
Finally, a human expert is asked to label a small set of documents and the neural network is fine tuned on those documents.
no code implementations • 12 Oct 2016 • Shanshan Zhang, Slobodan Vucetic
Given the wide range of possible disasters, using a pre-selected set of disaster-related keywords for the discovery is suboptimal.
no code implementations • 29 Jun 2016 • Nemanja Djuric, Mihajlo Grbovic, Vladan Radosavljevic, Narayan Bhamidipati, Slobodan Vucetic
We consider the problem of personalization of online services from the viewpoint of ad targeting, where we seek to find the best ad categories to be shown to each user, resulting in improved user experience and increased advertisers' revenue.
1 code implementation • 3 Jan 2016 • Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark, Asma R Bankapur, Daniel D'Andrea, Rosalba Lepore, Christopher S Funk, Indika Kahanda, Karin M Verspoor, Asa Ben-Hur, Emily Koo, Duncan Penfold-Brown, Dennis Shasha, Noah Youngs, Richard Bonneau, Alexandra Lin, Sayed ME Sahraeian, Pier Luigi Martelli, Giuseppe Profiti, Rita Casadio, Renzhi Cao, Zhaolong Zhong, Jianlin Cheng, Adrian Altenhoff, Nives Skunca, Christophe Dessimoz, Tunca Dogan, Kai Hakala, Suwisa Kaewphan, Farrokh Mehryary, Tapio Salakoski, Filip Ginter, Hai Fang, Ben Smithers, Matt Oates, Julian Gough, Petri Törönen, Patrik Koskinen, Liisa Holm, Ching-Tai Chen, Wen-Lian Hsu, Kevin Bryson, Domenico Cozzetto, Federico Minneci, David T Jones, Samuel Chapman, Dukka B K. C., Ishita K Khan, Daisuke Kihara, Dan Ofer, Nadav Rappoport, Amos Stern, Elena Cibrian-Uhalte, Paul Denny, Rebecca E Foulger, Reija Hieta, Duncan Legge, Ruth C Lovering, Michele Magrane, Anna N Melidoni, Prudence Mutowo-Meullenet, Klemens Pichler, Aleksandra Shypitsyna, Biao Li, Pooya Zakeri, Sarah ElShal, Léon-Charles Tranchevent, Sayoni Das, Natalie L Dawson, David Lee, Jonathan G Lees, Ian Sillitoe, Prajwal Bhat, Tamás Nepusz, Alfonso E Romero, Rajkumar Sasidharan, Haixuan Yang, Alberto Paccanaro, Jesse Gillis, Adriana E Sedeño-Cortés, Paul Pavlidis, Shou Feng, Juan M Cejuela, Tatyana Goldberg, Tobias Hamp, Lothar Richter, Asaf Salamov, Toni Gabaldon, Marina Marcet-Houben, Fran Supek, Qingtian Gong, Wei Ning, Yuanpeng Zhou, Weidong Tian, Marco Falda, Paolo Fontana, Enrico Lavezzo, Stefano Toppo, Carlo Ferrari, Manuel Giollo, Damiano Piovesan, Silvio Tosatto, Angela del Pozo, José M Fernández, Paolo Maietta, Alfonso Valencia, Michael L Tress, Alfredo Benso, Stefano Di Carlo, Gianfranco Politano, Alessandro Savino, Hafeez Ur Rehman, Matteo Re, Marco Mesiti, Giorgio Valentini, Joachim W Bargsten, Aalt DJ van Dijk, Branislava Gemovic, Sanja Glisic, Vladmir Perovic, Veljko Veljkovic, Nevena Veljkovic, Danillo C Almeida-e-Silva, Ricardo ZN Vencio, Malvika Sharan, Jörg Vogel, Lakesh Kansakar, Shanshan Zhang, Slobodan Vucetic, Zheng Wang, Michael JE Sternberg, Mark N Wass, Rachael P Huntley, Maria J Martin, Claire O'Donovan, Peter N. Robinson, Yves Moreau, Anna Tramontano, Patricia C Babbitt, Steven E Brenner, Michal Linial, Christine A Orengo, Burkhard Rost, Casey S Greene, Sean D Mooney, Iddo Friedberg, Predrag Radivojac
To review progress in the field, the analysis also compared the best methods participating in CAFA1 to those of CAFA2.
Quantitative Methods