26 citations · 60 across the 8 of their papers we have counts for
9 papers
Implementation and Privacy Guarantees for Scalable Keyword Search on SOLID-based Decentralized Data with Granular Visibility Constraints
Mohamed Ragab, Faria Ferooz, Mohammad Bahrani +5
In decentralized personal data ecosystems grounded in architectures such as Solid, users retain sovereignty over their data via personal online data stores (pods), hosted on Solid-…
DESERE: The 1st Workshop on Decentralised Search and Recommendation
Mohamed Ragab, Yury Savateev, Wenjie Wang +6
The DESERE Workshop, our First Workshop on Decentralised Search and Recommendation, offers a platform for researchers to explore and share innovative ideas on decentralised web ser…
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space
Carlos Mougan, Klaus Broelemann, Gjergji Kasneci +2
As input data distributions evolve, the predictive performance of machine learning models tends to deteriorate. In the past, predictive performance was considered the key indicator…
Bias in Data-driven AI Systems -- An Introductory Survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20
AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…
FAIR and Open Computer Science Research Software
Wilhelm Hasselbring, Leslie Carr, Simon Hettrick +2
In computational science and in computer science, research software is a central asset for research. Computational science is the application of computer science and software engin…
Analytics for the Internet of Things: A Survey
Eugene Siow, Thanassis Tiropanis, Wendy Hall
The Internet of Things (IoT) envisions a world-wide, interconnected network of smart physical entities. These physical entities generate a large amount of data in operation and as…
TritanDB: Time-series Rapid Internet of Things Analytics
Eugene Siow, Thanassis Tiropanis, Xin Wang +1
The efficient management of data is an important prerequisite for realising the potential of the Internet of Things (IoT). Two issues given the large volume of structured time-seri…
PRESTO: Probabilistic Cardinality Estimation for RDF Queries Based on Subgraph Overlapping
Xin Wang, Eugene Siow, Aastha Madaan +1
In query optimisation accurate cardinality estimation is essential for finding optimal query plans. It is especially challenging for RDF due to the lack of explicit schema and the…
Signal Diffusion Mapping: Optimal Forecasting with Time Varying Lags
Paul Gaskell, Frank McGroarty, Thanassis Tiropanis
We introduce a new methodology for forecasting which we call Signal Diffusion Mapping. Our approach accommodates features of real world financial data which have been ignored histo…