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08/29/2023
Evaluating Explanation Methods for Multivariate Time Series Classification
Multivariate time series classification is an important computational ta...
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08/15/2023
Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms
The state-of-the-art in time series classification has come a long way, ...
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07/10/2023
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification
Wearable sensors such as Inertial Measurement Units (IMUs) are often use...
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06/08/2023
AMEE: A Robust Framework for Explanation Evaluation in Time Series Classification
This paper aims to provide a framework to quantitatively evaluate and ra...
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02/21/2023
Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone
Goal: The countermovement jump (CMJ) is commonly used to measure the exp...
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10/10/2022
Classification of cow diet based on milk mid infrared spectra: a data analysis competition at the "International workshop of spectroscopy and chemometrics 2022"
In April 2022, the Vistamilk SFI Research Centre organized the second ed...
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10/02/2022
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers
Technological advancements have spurred the usage of machine learning ba...
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06/18/2022
Scalable Classifier-Agnostic Channel Selection for MTSC
Accuracy is a key focus of current work in time series classification. H...
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05/17/2022
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning
Sentence compression reduces the length of text by removing non-essentia...
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05/16/2022
Automated Mobility Context Detection with Inertial Signals
Remote monitoring of motor functions is a powerful approach for health a...
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09/02/2021
MrSQM: Fast Time Series Classification with Symbolic Representations
Symbolic representations of time series have proven to be effective for ...
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07/05/2021
Mid infrared spectroscopy and milk quality traits: a data analysis competition at the "International Workshop on Spectroscopy and Chemometrics 2021"
A chemometric data analysis challenge has been arranged during the first...
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03/15/2021
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset
Cardiac Magnetic Resonance (CMR) is the most effective tool for the asse...
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06/25/2020
Background Knowledge Injection for Interpretable Sequence Classification
Sequence classification is the supervised learning task of building mode...
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05/31/2020
Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations
The time series classification literature has expanded rapidly over the ...
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05/20/2020
Examining the State-of-the-Art in News Timeline Summarization
Previous work on automatic news timeline summarization (TLS) leaves an u...
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05/20/2020
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
Multi-document summarization (MDS) aims to compress the content in large...
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08/16/2018
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams
Following a particular news story online is an important but difficult t...
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08/12/2018
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains
The time series classification literature has expanded rapidly over the ...
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10/14/2017
On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools
Since 2013 researchers at University College Dublin in the Insight Centr...
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03/23/2015
