Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Zicari, Roberto V"'
Autor:
Boonstra, Marjolein, Bruneault, Frédérick, Chakraborty, Subrata, Faber, Tjitske, Gallucci, Alessio, Hickman, Eleanore, Kema, Gerard, Kim, Heejin, Kooiker, Jaap, Hildt, Elisabeth, Lamadé, Annegret, Mathez, Emilie Wiinblad, Möslein, Florian, Pathuis, Genien, Sartor, Giovanni, Steege, Marijke, Stocco, Alice, Tadema, Willy, Tuimala, Jarno, van Vledder, Isabel, Vetter, Dennis, Vetter, Jana, Westerlund, Magnus, Zicari, Roberto V.
This report shares the experiences, results and lessons learned in conducting a pilot project ``Responsible use of AI'' in cooperation with the Province of Friesland, Rijks ICT Gilde-part of the Ministry of the Interior and Kingdom Relations (BZK) (b
Externí odkaz:
http://arxiv.org/abs/2404.14366
Assessing the trustworthiness of artificial intelligence systems requires knowledge from many different disciplines. These disciplines do not necessarily share concepts between them and might use words with different meanings, or even use the same wo
Externí odkaz:
http://arxiv.org/abs/2208.04608
Autor:
Zicari, Roberto V., Amann, Julia, Bruneault, Frédérick, Coffee, Megan, Düdder, Boris, Hickman, Eleanore, Gallucci, Alessio, Gilbert, Thomas Krendl, Hagendorff, Thilo, van Halem, Irmhild, Hildt, Elisabeth, Holm, Sune, Kararigas, Georgios, Kringen, Pedro, Madai, Vince I., Mathez, Emilie Wiinblad, Tithi, Jesmin Jahan, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee
This report is a methodological reflection on Z-Inspection$^{\small{\circledR}}$. Z-Inspection$^{\small{\circledR}}$ is a holistic process used to evaluate the trustworthiness of AI-based technologies at different stages of the AI lifecycle. It focus
Externí odkaz:
http://arxiv.org/abs/2206.09887
Autor:
Ivanov, Todor, Niemann, Raik, Izberovic, Sead, Rosselli, Marten, Tolle, Karsten, Zicari, Roberto V.
This report evaluates the new analytical capabilities of DataStax Enterprise (DSE) [1] through the use of standard Hadoop workloads. In particular, we run experiments with CPU and I/O bound micro-benchmarks as well as OLAP-style analytical query work
Externí odkaz:
http://arxiv.org/abs/1411.4044
In this report we investigate the performance of Hadoop clusters, deployed with separated storage and compute layers, on top of a hypervisor managing a single physical host. We have analyzed and evaluated the different Hadoop cluster configurations b
Externí odkaz:
http://arxiv.org/abs/1411.3811
The well-known 3V architectural paradigm for Big Data introduced by Laney (2011), provides a simplified framework for defining the architecture of a big data platform to be deployed in various scenarios tackling processing of massive datasets. While
Externí odkaz:
http://arxiv.org/abs/1311.0805
Publikováno v:
In Knowledge-Based Systems October 2014 69:24-33
Autor:
Schefels, Clemens, Zicari, Roberto V.
Publikováno v:
International Journal of Web Information Systems, 2012, Vol. 8, Issue 1, pp. 127-150.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/17440081211222618
Autor:
Amann, Julia, Vetter, dennis, Blomberg, Stig Nikolaj Fasmer, Christensen, Helle Collatz, Coffee, Megan, Gerke, Sara, Gilbert, Thomas, Hagendorff, Thilo, Holm, Sune, Livne, Michelle, Spezzatti, Andy, Strumke, Inga, Zicari, Roberto V., Madai, Vince Istvan
Externí odkaz:
https://hdl.handle.net/11250/3065039