Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Tiropanis, Thanassis"'
Autor:
Ragab, Mohamed, Savateev, Yury, Wang, Wenjie, Moosaei, Reza, Tiropanis, Thanassis, Poulovassilis, Alexandra, Chapman, Adriane, Oliver, Helen, Roussos, George
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 services, mainly focusing on three major topics: (i) societal impact of d
Externí odkaz:
http://arxiv.org/abs/2403.07732
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 to monitor. However, explanation aspects have come to attention withi
Externí odkaz:
http://arxiv.org/abs/2210.12369
Autor:
Ntoutsi, Eirini, Fafalios, Pavlos, Gadiraju, Ujwal, Iosifidis, Vasileios, Nejdl, Wolfgang, Vidal, Maria-Esther, Ruggieri, Salvatore, Turini, Franco, Papadopoulos, Symeon, Krasanakis, Emmanouil, Kompatsiaris, Ioannis, Kinder-Kurlanda, Katharina, Wagner, Claudia, Karimi, Fariba, Fernandez, Miriam, Alani, Harith, Berendt, Bettina, Kruegel, Tina, Heinze, Christian, Broelemann, Klaus, Kasneci, Gjergji, Tiropanis, Thanassis, Staab, Steffen
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 anytime, entailing concerns about potential human rights issues. Therefor
Externí odkaz:
http://arxiv.org/abs/2001.09762
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 engineering principles to solving scientific problems, whereas computer sci
Externí odkaz:
http://arxiv.org/abs/1908.05986
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 the IoT gains momentum in terms of deployment, the combined scale of t
Externí odkaz:
http://arxiv.org/abs/1807.00971
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-series IoT data are, addressing the difficulties of data integration betwe
Externí odkaz:
http://arxiv.org/abs/1801.07947
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 excessive occurrence of joins in RDF queries. Existing approaches typi
Externí odkaz:
http://arxiv.org/abs/1801.06408
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 historically in existing forecasting methodologies. Our method builds upon
Externí odkaz:
http://arxiv.org/abs/1409.6443
Autor:
TIROPANIS, THANASSIS1 t.tiropanis@southampton.ac.uk, HALL, WENDY2 wh@ecs.soton.ac.uk, CROWCROFT, JON3 jon.crowcroft@cl.cam.ac.uk, CONTRACTOR, NOSHIR4 nosh@northwestern.edu, TASSIULAS, LEANDROS5 leandros.tassiulas@yale.edu
Publikováno v:
Communications of the ACM. Aug2015, Vol. 58 Issue 8, p76-82. 7p. 1 Color Photograph, 3 Diagrams.
