1 code implementation • ACL 2022 • Demian Gholipour Ghalandari, Chris Hokamp, Georgiana Ifrim
Sentence compression reduces the length of text by removing non-essential content while preserving important facts and grammaticality.
no code implementations • 16 May 2022 • Antonio Bevilacqua, Lisa Alcock, Brian Caulfield, Eran Gazit, Clint Hansen, Neil Ireson, Georgiana Ifrim
We explore two different approaches to this task: (1) using gait descriptors and features extracted from the input inertial signals sampled during walking episodes, together with classic machine learning algorithms, and (2) treating the input inertial signals as time series data and leveraging end-to-end state-of-the-art time series classifiers.
1 code implementation • 2 Sep 2021 • Thach Le Nguyen, Georgiana Ifrim
The key idea is to transform numerical time series to symbolic representations in the time or frequency domain, i. e., sequences of symbols, and then extract features from these sequences.
1 code implementation • 5 Jul 2021 • Maria Frizzarin, Antonio Bevilacqua, Bhaskar Dhariyal, Katarina Domijan, Federico Ferraccioli, Elena Hayes, Georgiana Ifrim, Agnieszka Konkolewska, Thach Le Nguyen, Uche Mbaka, Giovanna Ranzato, Ashish Singh, Marco Stefanucci, Alessandro Casa
A chemometric data analysis challenge has been arranged during the first edition of the "International Workshop on Spectroscopy and Chemometrics", organized by the Vistamilk SFI Research Centre and held online in April 2021.
no code implementations • 15 Mar 2021 • Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen Curran
In previous studies, the base method is applied to the classification of cardiac disease and provides clinically meaningful explanations for the predictions of a black-box deep learning classifier.
no code implementations • 25 Jun 2020 • Severin Gsponer, Luca Costabello, Chan Le Van, Sumit Pai, Christophe Gueret, Georgiana Ifrim, Freddy Lecue
Sequence classification is the supervised learning task of building models that predict class labels of unseen sequences of symbols.
1 code implementation • 31 May 2020 • Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly, Georgiana Ifrim
In this paper we propose new time series classification algorithms to address these gaps.
1 code implementation • ACL 2020 • Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover, Georgiana Ifrim
Multi-document summarization (MDS) aims to compress the content in large document collections into short summaries and has important applications in story clustering for newsfeeds, presentation of search results, and timeline generation.
1 code implementation • ACL 2020 • Demian Gholipour Ghalandari, Georgiana Ifrim
Previous work on automatic news timeline summarization (TLS) leaves an unclear picture about how this task can generally be approached and how well it is currently solved.
no code implementations • 16 Aug 2018 • Bichen Shi, Thanh-Binh Le, Neil Hurley, Georgiana Ifrim
This is particularly the case for local news stories that are easily over shadowed by other trending stories, and for complex news stories with ambiguous content in noisy stream environments.
1 code implementation • 12 Aug 2018 • Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Georgiana Ifrim
In this work we analyse the state-of-the-art for time series classification, and propose new algorithms that aim to maintain the classifier accuracy and efficiency, but keep interpretability as a key design constraint.
no code implementations • 23 Mar 2015 • Bichen Shi, Michel Schellekens, Georgiana Ifrim
Smoothed analysis is a framework for analyzing the complexity of an algorithm, acting as a bridge between average and worst-case behaviour.