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  1. No Access

    Chapter and Conference Paper

    A Machine Learning Approach to Chlorophyll a Time Series Analysis in the Mediterranean Sea

    Understanding the dynamics of natural system is a crucial task in ecology especially when climate change is taken into account. In this context, assessing the evolution of marine ecosystems is pivotal since th...

    F. Mattei, M. Scardi in Pattern Recognition. ICPR International Workshops and Challenges (2021)

  2. Article

    Correction: Corrigendum: Coralligenous and maërl habitats: predictive modelling to identify their spatial distributions across the Mediterranean Sea

    Bioconstructions such as coralligenous outcrops and maërl beds are typical Mediterranean underwater seascapes. Fine-scale knowledge on the distribution of these sensitive habitats is crucial for their effectiv...

    C. S. Martin, M. Giannoulaki, F. De Leo, M. Scardi, M. Salomidi in Scientific Reports (2014)

  3. Article

    Open Access

    Coralligenous and maërl habitats: predictive modelling to identify their spatial distributions across the Mediterranean Sea

    Bioconstructions such as coralligenous outcrops and maërl beds are typical Mediterranean underwater seascapes. Fine-scale knowledge on the distribution of these sensitive habitats is crucial for their effectiv...

    C. S. Martin, M. Giannoulaki, F. De Leo, M. Scardi, M. Salomidi in Scientific Reports (2014)

  4. No Access

    Article

    Perspectives for development of low impact aquaculture in a Western Mediterranean lagoon: the case of the carpet clam Tapes decussatus

    Some 30,000 specimens of the Mediterranean clam Tapes decussatus were suspended in nylon bags of two different mesh sizes and pre-grown in the Calich lagoon (Sardinia, Italy) from March to June 2001. The samples ...

    L.A. Chessa, F. Paesanti, A. Pais, M. Scardi, S. Serra in Aquaculture International (2005)

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    Chapter

    Use of neural network models to predict diatom assemblages in the Loire-Bretagne basin (France)

    P Di Dato, F Rimet, L Tudesque, L Ector in Modelling Community Structure in Freshwate… (2005)

  6. No Access

    Chapter

    General conclusions and perspectives

    M Scardi in Modelling Community Structure in Freshwater Ecosystems (2005)

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    Chapter

    A neural network approach to the prediction of benthic macroinvertebrate fauna composition in rivers

    P Di Dato, L Mancini, L Tancioni, M Scardi in Modelling Community Structure in Freshwate… (2005)

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    Chapter

    Optimisation of artificial neural networks for predicting fish assemblages in rivers

    M Scardi, S Cataudella, E Ciccotti in Modelling Community Structure in Freshwate… (2005)

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    Chapter

    Comparison between Modern Clustering Techniques and Original Macrobenthic Community Classification on A. Vatova’s Adriatic Data Set (1934–36)

    We carried out a comparison between the results of several clustering procedures and the zoocoenoses defined by A. Vatova after his studies on the Adriatic macrozoobenthos (1934–36). The original data set was ...

    P. Di Dato, E. Fresi, M. Scardi in Mediterranean Ecosystems (2001)

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    Chapter

    Neuronal Network Models of Phytoplankton Primary Production

    Empirical models of phytoplankton primary productivity have always played an important role in oceanographic research, mainly because direct measurements of this process are difficult, expensive and time-consu...

    M. Scardi in Artificial Neuronal Networks (2000)