An algorithm discovers new correlations between genes in human beings

Four researchers have developed an algorithm that discovers new correlations between genes in human beings. Paolo Mignone, Gianvito Pio, Michelangelo Ceci of KDDE research group and Domenica D’Elia of “Institute of biomedical technologies (CNR)” worked together in order to develop an algorithm which exploits transfer learning techniques in order to select the available knowledge derived from other organisms and transfer such knowledge to the human beings.

Read the article on the University of Bari website (In Italian)

Other articles about this news:

ILIKEPUGLIA (In Italian)

TeleBari (In Italian)

BariViva (In Italian)

AUDIOPRESS (In Italian)

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A new algorithm will discover correlations between environmental pollution and respiratory diseases

A new algorithm will discover correlations between environmental pollution and respiratory diseases. The project, started by KDDE lab and the University of Salento, is named APOLLON (environmentAl POLLutiOn aNalyzer). In the following two app screenshots and the links to the full articles (Gazzetta del Mezzogiorno and University of Bari website) are reported.

Read the full Italian article here (Gazzetta del Mezzogiorno)

Read the article on the University of Bari website (In Italian)

 

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News: “Girl Power, contract stability in computer science”

On January 20th, 2019 has been published an article about contract stability in computer science. Fabiana Lanotte, our past postdoc research associate at KDDE, has been interviewed by Rossella Nocca for “Repubblica degli Stagisti” in this article. Here the link to the full article (in italian):

https://www.repubblicadeglistagisti.it/article/girl-power-diventare-ingegnera-ci-vuole-un-bel-caratterino

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Data Mining Techniques in Sensor Networks

The KDDE group has recently published the book entitled Data Mining Techniques in Sensor Networks, Summarization, Interpolation and Surveillance. The book introduces the trend cluster, a recently defined spatio-temporal pattern, and its use in summarizing, interpolating and identifying anomalies in sensor networks.

Authors: Appice, A.Ciampi, A.Fumarola, F.Malerba, D.

 

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