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Now showing items 121-130 of 189
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
This paper describes key requirements for digital innovation readiness in the public healthcare sector. Collaborative innovation models, where internal and external innovators contribute their ideas and solutions put certain ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
The DiffServ Code Point (DSCP) field in the IP header allows to specify a desired per-hop behavior as packets traverse routers. Setting the DSCP field opportunistically, without prior contractual agreement, has recently ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Neural methods for sentiment analysis have led to quantitative improvements over previous approaches, but these advances are not always accompanied with a thorough analysis of the qualitative differences. Therefore, it is ...
(Book chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
This work proposes a novel facial expression recognition approach to contribute to better human-machine interactions. To do that, edge features in facial expression images are combined with a recurrent neural network (RNN) ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Hospitals, as data custodians, have the need to share a version of the data in hand with external research institutes for analysis purposes. For preserving the privacy of the patients, anonymization methods are employed ...
(Chapter / Bokkapittel / SubmittedVersion, 2019)
In multi-tenant datacenters, the hardware may be homogeneous but the traffic often is not. For instance, customers who pay an equal amount of money can get an unequal share of the bottleneck capacity when they do not open ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
RaveForce is a programming framework designed for a computational music generation method that involves audio sample level evaluation in symbolic music representation generation. It comprises a Python module and a SuperCollider ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
We present the participation of LogMap and its variants in the OAEI 2019 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
We introduce a machine learning technique to autonomously generate novel melodies that are variations of an arbitrary base melody. These are produced by a neural network that ensures that (with high probability) the melodic ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple ...