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Prodotti recenti

Extended cognition and the innovation process

Emergent spatial patterns of coexistence in species-rich plant communities

Statistical physics has proved essential to analyze multiagent environments. Motivated by the empirical observation of various nonequilibrium features in Barro Colorado and other ecological systems, we analyze a plant-species abundance model of neutral competition, presenting analytical evidence of scale-invariant plant clusters and nontrivial emergent modular correlations. Such first theoretical confirmation of a scale-invariant region, based on percolation processes, reproduces the key feat...

The Validity of Machine Learning Procedures in Orthodontics: What Is Still Missing?

Artificial intelligence (AI) models and procedures hold remarkable predictive efficiency in the medical domain through their ability to discover hidden, non-obvious clinical patterns in data. However, due to the sparsity, noise, and time-dependency of medical data, AI procedures are raising unprecedented issues related to the mismatch between doctors’ mentalreasoning and the statistical answers provided by algorithms. Electronic systems can reproduce or even amplify noise hidden in the data, ...

Vero o Falso? Integrazione di tecniche remote sensing per lo studio del territorio lungo la via Herculia

The mixing of various remote sensing tools enriches the analysis of the archaeological marks, as areas sited in Irpinia (Campania N-E) show and where many archaeological features are set. Key roads and sites mark this area: Regio Tratturo Pescasseroli-Candela, via Aemilia, Traiana, Herculia and Aequum Tuticum (S. Eleuterio-Ariano Irpino). Since 2010, the Laboratory of Ancient Topography and Photogrammetry (University of Salento) studies both the vicus and roads. The research led for via Hercu...

Supervised learning for the prediction of firm dynamics

Thanks to the increasing availability of granular, yet high-dimensional, firm level data, machine learning (ML) algorithms have been successfully applied to address multiple research questions related to firm dynamics. Especially supervised learning (SL), the branch of ML dealing with the prediction of labelled outcomes, has been used to better predict firms’ performance. In this chapter, we will illustrate a series of SL approaches to be used for prediction tasks, relevant at different stage...

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Prodotti più visti
  • Regional Delta Waves In Human Rapid Eye Movement Sleep
  • Dreaming in NREM sleep: A high-density EEG study of slow waves and spindles
  • Two distinct synchronization processes in the transition to sleep: A high-density electroencephalographic study
  • Complexity in Neural and Financial Systems: From Time-Series to Networks
  • When Neuroscience ‘Touches’ Architecture: From Hapticity to a Supramodal Functioning of the Human Brain
  • A multi phase-field-cohesive zone model for laminated composites: Application to delamination migration
  • Organization and hierarchy of the human functional brain network lead to a chain-like core
  • Bilateral Transcranial Direct Current Stimulation Language Treatment Enhances Functional Connectivity in the Left Hemisphere: Preliminary Data from Aphasia
  • Visual imagery and visual perception induce similar changes in occipital slow waves of sleep
  • Intrinsic Patterns of Coupling between Correlation and Amplitude of Low-Frequency fMRI Fluctuations Are Disrupted in Degenerative Dementia Mainly due to Functional Disconnection
Prodotti più scaricati
  • State of the art of cyber-physical systems security: An automatic control perspective
  • Optimal encoding of interval timing in expert percussionists
  • Il falso nelle collezioni archeologiche: dall’autenticazione alla promozione della legalità,
  • The sensory-deprived brain as a unique tool to understand brain development and function
  • Who Owns Villa La Pietra? The Story of A Family, their Home, and an American University under Italian Law
  • Approximation Error Bounds via Rademacher Complexity
  • Measuring security in IoT communications
  • Gestione dei dati digitali della ricerca: linee guida per garantirne la produzione e conservazione sostenibile
  • Immagini narrative tra antico e contemporaneo: alcune riflessioni
  • A Robust Scenario MPC Approach for Uncertain Multi-modal Obstacles

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