Positive-Unlabelled (PU) learning is the machine learning setting in which
only a set of positive instances are labelled, while the rest of the data set
is unlabelled. The unlabelled instances may be either unspecified positive
samples or true negative samples. Over the years, many solutions have...
Neural Networks and Support Vector Machines
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Convolutional Neural Networks (CNNs) have been widely used in the field of audio recognition and classification, since they often provide positive results. Motivated by the success of this kind of approach and the lack of practical methodologies for the monitoring of construction sites by using...
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From 3rd to 9th July 2022 the Department of Computer, Control and Management Engineering (DIAG) of "Sapienza" University of Rome and the Department of...
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From 3rd to 9th July 2022 the Department of Computer, Control and Management Engineering (DIAG) of "Sapienza" University of Rome and the Department of Information Engineering (DINFO) of University of Florenze will organize a Summer School on Optimization, Big Data and Applications (OBA)
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Brain-Computer Interfaces (BCIs) are systems allowing people to interact with the environment bypassing the natural neuromuscular and hormonal outputs of the peripheral nervous system (PNS). These interfaces record a user’s brain activity and translate it into control commands for external devices...
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Research in continuous optimization has been active at DIAG since its foundation. Early research was essentially devoted to the theory of exact penalization and to the development of algorithms for the solution of constrained nonlinear programming problems through unconstrained techniques....
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