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Angelos Molfetas
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2010 – 2019
- 2019
- [j1]Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquin Bogado, David Cameron, Dimitrios Christidis, Diego Ciangottini, Gancho Dimitrov, Markus Elsing, Vincent Garonne, Alessandro Di Girolamo, Luc Goossens, Wen Guan, Jaroslav Guenther, Tomas Javurek, Dietmar Kuhn, Mario Lassnig, Fernando Lopez, Nicolò Magini, Angelos Molfetas, Armin Nairz, Farid Ould-Saada, Stefan Prenner, Cedric Serfon, Graeme A. Stewart, Eric Vaandering, Petya Vasileva, Ralph Vigne, Tobias Wegner:
Rucio: Scientific Data Management. Comput. Softw. Big Sci. 3(1) (2019) - [i1]Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquin Bogado, David Cameron, Dimitrios Christidis, Diego Ciangottini, Gancho Dimitrov, Markus Elsing, Vincent Garonne, Alessandro Di Girolamo, Luc Goossens, Wen Guan, Jaroslav Guenther, Tomas Javurek, Dietmar Kuhn, Mario Lassnig, Fernando Lopez, Nicolò Magini, Angelos Molfetas, Armin Nairz, Farid Ould-Saada, Stefan Prenner, Cedric Serfon, Graeme A. Stewart, Eric Vaandering, Petya Vasileva, Ralph Vigne, Tobias Wegner:
Rucio - Scientific Data Management. CoRR abs/1902.09857 (2019) - 2014
- [c13]Angelos Molfetas, Anthony Wirth, Justin Zobel:
Scalability in Recursively Stored Delta Compressed Collections of Files. AWC 2014: 21-30 - [c12]Angelos Molfetas, Anthony Wirth, Justin Zobel:
Storing a Collection of Differentially Compressed Files Recursively. BigData Congress 2014: 88-95 - [c11]Angelos Molfetas, Anthony Wirth, Justin Zobel:
Using Inter-file Similarity to Improve Intra-file Compression. BigData Congress 2014: 192-199 - 2011
- [c10]Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Martin Barisits:
A similarity measure for time, frequency, and dependencies in large-scale workloads. SC 2011: 43:1-43:11 - 2010
- [c9]Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Miguel Branco:
Identification, Modelling and Prediction of Non-periodic Bursts in Workloads. CCGRID 2010: 485-494
2000 – 2009
- 2009
- [c8]Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Miguel Branco:
Stream Monitoring in Large-Scale Distributed Concealed Environments. eScience 2009: 156-163 - 2007
- [c7]Angelos Molfetas, George Bryan:
Structured genetic algorithm representations for neural network evolution. Artificial Intelligence and Applications 2007: 519-524 - [c6]Angelos Molfetas, George Bryan:
Structurally Evolved Neural Networks for Malignancy Classification. DMIN 2007: 263-272 - [c5]Angelos Molfetas, George Bryan:
Structurally Evolved Neural Networks for Forecasting. IC-AI 2007: 185-191 - 2006
- [c4]Angelos Molfetas:
Bottom up approach for deriving the redundancy of Structured Genetic Algorithms. IEEE Congress on Evolutionary Computation 2006: 456-462 - 2005
- [c3]Angelos Molfetas:
Comparing Structured Genetic Algorithms for Artificial Neural Network Generation. Artificial Intelligence and Applications 2005: 293-299 - [c2]Angelos Molfetas:
Structured Genetic Algorithms: Some Ways Forward. Artificial Intelligence and Applications 2005: 312-317 - [c1]Angelos Molfetas:
Investigating the Effect of Incorporating Additional Levels in Structured Genetic Algorithms. Australian Conference on Artificial Intelligence 2005: 1101-1107
Coauthor Index
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