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07/25/2023
An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension
The consumption of podcast media has been increasing rapidly. Due to the...
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06/19/2023
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information
Big time series are increasingly available from an ever wider range of I...
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05/30/2022
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction
Although Machine Learning (ML) can be seen as a promising tool to improv...
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02/07/2021
Robust Explanations for Private Support Vector Machines
We consider counterfactual explanations for private support vector machi...
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06/22/2020
Clinical Predictive Keyboard using Statistical and Neural Language Modeling
A language model can be used to predict the next word during authoring, ...
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06/11/2020
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams
This paper introduces RTEx, a novel methodology for a) ranking radiograp...
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07/13/2019
Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records
We study the problem of detecting adverse drug events in electronic heal...
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06/03/2019
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA
Prediction of user traffic in cellular networks has attracted profound a...
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05/09/2019
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches
Traffic prediction plays a vital role in efficient planning and usage of...
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09/13/2018
Explainable time series tweaking via irreversible and reversible temporal transformations
Time series classification has received great attention over the past de...
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12/27/2016