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Elia Bruni
Researcher at University of Amsterdam
Publications - 62
Citations - 5224
Elia Bruni is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Principle of compositionality & Distributional semantics. The author has an hindex of 20, co-authored 59 publications receiving 3898 citations. Previous affiliations of Elia Bruni include University of Trento & Pompeu Fabra University.
Papers
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Journal ArticleDOI
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
Babak Ehteshami Bejnordi,Mitko Veta,Paul J. van Diest,Bram van Ginneken,Nico Karssemeijer,Geert Litjens,Jeroen van der Laak,Meyke Hermsen,Quirine F. Manson,Maschenka Balkenhol,Oscar Geessink,N. Stathonikos,Marcory C. R. F. van Dijk,Peter Bult,Francisco Beca,Andrew H. Beck,Dayong Wang,Aditya Khosla,Rishab Gargeya,Humayun Irshad,Aoxiao Zhong,Qi Dou,Qi Dou,Quanzheng Li,Hao Chen,Huangjing Lin,Pheng-Ann Heng,Christian Haß,Elia Bruni,Quincy Wong,Ugur Halici,Mustafa Umit Oner,Rengul Cetin-Atalay,Matt Berseth,Vitali Khvatkov,Alexei Vylegzhanin,Oren Kraus,Muhammad Shaban,Nasir M. Rajpoot,Nasir M. Rajpoot,Ruqayya Awan,Korsuk Sirinukunwattana,Talha Qaiser,Yee-Wah Tsang,David Tellez,Jonas Annuscheit,Peter Hufnagl,Mira Valkonen,Kimmo Kartasalo,Kimmo Kartasalo,Leena Latonen,Pekka Ruusuvuori,Pekka Ruusuvuori,Kaisa Liimatainen,Shadi Albarqouni,Bharti Mungal,Ami George,Stefanie Demirci,Nassir Navab,Seiryo Watanabe,Shigeto Seno,Yoichi Takenaka,Hideo Matsuda,Hady Ahmady Phoulady,Vassili Kovalev,A. Kalinovsky,Vitali Liauchuk,Gloria Bueno,M. Milagro Fernández-Carrobles,Ismael Serrano,Oscar Deniz,Daniel Racoceanu,Daniel Racoceanu,Rui Venâncio +73 more
TL;DR: In the setting of a challenge competition, some deep learning algorithms achieved better diagnostic performance than a panel of 11 pathologists participating in a simulation exercise designed to mimic routine pathology workflow; algorithm performance was comparable with an expert pathologist interpreting whole-slide images without time constraints.
Journal ArticleDOI
Multimodal distributional semantics
TL;DR: This work proposes a flexible architecture to integrate text- and image-based distributional information, and shows in a set of empirical tests that the integrated model is superior to the purely text-based approach, and it provides somewhat complementary semantic information with respect to the latter.
Journal ArticleDOI
Gland segmentation in colon histology images: The GlaS challenge contest
Korsuk Sirinukunwattana,Josien P. W. Pluim,Hao Chen,Xiaojuan Qi,Pheng-Ann Heng,Yun Bo Guo,Li Yang Wang,Bogdan J. Matuszewski,Elia Bruni,Urko Sanchez,Anton Böhm,Olaf Ronneberger,Bassem Ben Cheikh,Daniel Racoceanu,Philipp Kainz,Philipp Kainz,Michael Pfeiffer,Martin Urschler,David Snead,Nasir M. Rajpoot +19 more
TL;DR: An overview to the Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) held at MICCAI'2015 is provided, along with the method descriptions and evaluation results from the top performing methods.
Proceedings Article
Distributional Semantics in Technicolor
TL;DR: While visual models with state-of-the-art computer vision techniques perform worse than textual models in general tasks, they are as good or better models of the meaning of words with visual correlates such as color terms, even in a nontrivial task that involves nonliteral uses of such words.
Proceedings ArticleDOI
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world
TL;DR: This paper proposed a cross-modal vector-based semantics for the task of zero-shot learning, in which an image of a previously unseen object is mapped to a linguistic representation denoting its word.