Andreas Grivas

According to our database, Andreas Grivas authored at least 10 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification.

Andreas Grivas, Antonio Vergari, Adam Lopez

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports.

Arlene Casey, Emma M. Davidson, Claire Grover, Richard Tobin, Andreas Grivas, Huayu Zhang, Patrick Schrempf, Alison Q. O'Neil, Liam Lee, Michael Walsh, Freya Pellie, Karen Ferguson, Vera Cvoro, Honghan Wu, Heather Whalley, Grant Mair, William Whiteley, Beatrice Alex

Frontiers Digit. Health, March, 2023

2022

Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice.

Andreas Grivas, Nikolay Bogoychev, Adam Lopez

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Comparison of rule-based and neural network models for negation detection in radiology reports.

D. Sykes, Andreas Grivas, Claire Grover, Richard Tobin, Cathie Sudlow, William Whiteley, Andrew M. McIntosh, Heather Whalley, Beatrice Alex

Nat. Lang. Eng., 2021

A systematic review of natural language processing applied to radiology reports.

Arlene Casey, Emma M. Davidson, Michael Tin Chung Poon, Hang Dong, Daniel Duma, Andreas Grivas, Claire Grover, Víctor Suárez-Paniagua, Richard Tobin, William Whiteley, Honghan Wu, Beatrice Alex

BMC Medical Informatics Decis. Mak., 2021

The reporting quality of natural language processing studies: systematic review of studies of radiology reports.

Emma M. Davidson, Michael Tin Chung Poon, Arlene Casey, Andreas Grivas, Daniel Duma, Hang Dong, Víctor Suárez-Paniagua, Claire Grover, Richard Tobin, Heather Whalley, Honghan Wu, Beatrice Alex, William Whiteley

BMC Medical Imaging, 2021

2020

Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports.

Andreas Grivas, Beatrice Alex, Claire Grover, Richard Tobin, William Whiteley

Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020

2018

What do character-level models learn about morphology? The case of dependency parsing.

Clara Vania, Andreas Grivas, Adam Lopez

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

PaloPro: a platform for knowledge extraction from big social data and the news.

Nantia Makrynioti, Andreas Grivas, Christos Sardianos, Nikos Tsirakis, Iraklis Varlamis, Vasilis Vassalos, Vassilis Poulopoulos, Panagiotis Tsantilas

Int. J. Big Data Intell., 2017

2015

Author Profiling using Stylometric and Structural Feature Groupings.

Andreas Grivas, Anastasia Krithara, George Giannakopoulos

Proceedings of the Working Notes of CLEF 2015, 2015