Category: Scientific Publications

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New publication: “Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey”

We are thrilled to announce that we have published a new paper entitled “Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey” on the Springer Artificial Intelligence Review Journal. The paper, that is published as Open Access and can be downloaded following its doi: 10.1007/s10462-018-09679-z, is authored by Giang Nguyen, Stefan Dlugolinsky, […]

DEEP Hybrid DataCloud accepted paper in 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), Sep 3-5, 2018, Belgrade, Serbia

We are proud to announce that a research paper developed under the Deep Hybrid DataCloud Project has been accepted for inclusion in 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018) to be held on 3-5 September 2018, in Belgrade (Serbia). This paper will be published by Elsevier Science in the open-access […]

DEEP Hybrid DataCloud accepted paper in 9th International Conference on Ambient Systems, Networks and Technologies, May 8-11, 2018, Porto (Portugal)

We are proud to announce that a research paper developed under the Deep Hybrid DataCloud Project has been accepted for inclusion in 9th International Conference on Ambient Systems, Networks and Technologies to be held on 8-11 May 2018 in Porto (Portugal). This paper will be published by Elsevier Science in the open-access Procedia Computer Science […]

DEEP Hybrid DataCloud accepted paper in Data and Knowledge Engineering Journal (Elsevier)

We are proud to announce that a research paper developed under the Deep-Hybrid-DataCloud project has been accepted in the Data and Knowledge Engineering Journal (Elsevier), Available online 12 March 2018. Title: “A heuristics approach to mine behavioural data logs in mobile malware detection system” Authors:  Giang Nguyena, Binh Nguyen b, Dang Tran b, Ladislay Hluchy […]

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777435.

Unless otherwise indicated, all materials created by the DEEP-Hybrid-DataCloud consortium are licensed under a Creative Commons Attribution 4.0 International License.

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