15 citations · 24 across the 15 of their papers we have counts for
15 papers
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang, Ioanna Miliou, Isak Samsten +1
Among recent developments in time series forecasting methods, deep forecasting models have gained popularity as they can utilize hidden feature patterns in time series to improve f…
An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension
Andrew Aquilina, Sean Diacono, Panagiotis Papapetrou +1
The consumption of podcast media has been increasing rapidly. Due to the lengthy nature of podcast episodes, users often carefully select which ones to listen to. Although episode…
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information
Van Long Ho, Nguyen Ho, Torben Bach Pedersen +1
Big time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in various environments. Significant insights can be gained by mining temporal p…
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino +3
Although Machine Learning (ML) can be seen as a promising tool to improve clinical decision-making for supporting the improvement of medication plans, clinical procedures, diagnose…
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks
Amin Azari, Fateme Salehi, Panagiotis Papapetrou +1
There is a lack of research on the analysis of per-user traffic in cellular networks, for deriving and following traffic-aware network management. \textcolor{black}{In fact, the le…
Robust Explanations for Private Support Vector Machines
Rami Mochaourab, Sugandh Sinha, Stanley Greenstein +1
We consider counterfactual explanations for private support vector machines (SVM), where the privacy mechanism that publicly releases the classifier guarantees differential privacy…