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The effects of applying cell-suppression and perturbation to aggregated genetic data
(2012)
The key test for confidence in any association discovered within the medical domain is replication testing. That is, the ability of the association to be detected in independent populations. At the same time, in order to ...
Convolutional Neural Networks in Combination with Support Vector Machines for Complex Sequential Data Classification
(Springer International Publishing, 2018)
Trying to extract features from complex sequential data for classification and prediction problems is an extremely difficult task. Deep Machine Learning techniques, such as Convolutional Neural Networks (CNNs), have been ...
Molecular clustering via knowledge mining from biomedical scientific corpora
(2013)
In this paper, an architecture is presented that allows the extraction of argumentation clauses that might exist in publications, in order to perform molecular clustering on referenced molecules. Grammar rules are defined ...
Intertwined trade-offs coordinate Drosophila midgut mitosis vs. endoreplication and host defense vs. dysplasia. II
(European University of Cyprus, 2019)
Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis
(2018)
In this work, we present a specific case study where we aim to design effective treatment allocation strategies and validate these using a mouse model of skin cancer. Collecting data for modelling ...
An energy-efficient and error-resilient server ecosystem exceeding conservative scaling limits
(2018)
The explosive growth of Internet-connected devices will soon result in a flood of generated data, which will increase the demand for network bandwidth as well as compute power to process the generated data. Consequently, ...