Search Results - "Isgro, Francesco"

A survey on modern trainable activation functions by Apicella, Andrea, Donnarumma, Francesco, Isgrò, Francesco, Prevete, Roberto

“…In neural networks literature, there is a strong interest in identifying and defining activation functions which can improve neural network performance. In…”
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Adaptive filters in Graph Convolutional Neural Networks by Apicella, Andrea, Isgrò, Francesco, Pollastro, Andrea, Prevete, Roberto

“…Over the last few years, the availability of an increasing data generated from non-Euclidean domains, which are usually represented as graphs with complex…”
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On the effects of data normalization for domain adaptation on EEG data by Apicella, Andrea, Isgrò, Francesco, Pollastro, Andrea, Prevete, Roberto

“…In Machine Learning (ML), a well-known problem is the Dataset Shift problem where the data in the training and test sets can follow different probability…”
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A simple and efficient architecture for trainable activation functions by Apicella, Andrea, Isgrò, Francesco, Prevete, Roberto

“…Automatically learning the best activation function for the task is an active topic in neural network research. At the moment, despite promising results, it is…”
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Hidden classification layers: Enhancing linear separability between classes in neural networks layers by Apicella, Andrea, Isgrò, Francesco, Prevete, Roberto

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Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems by Apicella, Andrea, Giugliano, Salvatore, Isgrò, Francesco, Prevete, Roberto

“…A central issue addressed by the rapidly growing research area of eXplainable Artificial Intelligence (XAI) is to provide methods to give explanations for the…”
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Unsupervised entity and relation extraction from clinical records in Italian by Alicante, Anita, Corazza, Anna, Isgrò, Francesco, Silvestri, Stefano

“…Abstract This paper proposes and discusses the use of text mining techniques for the extraction of information from clinical records written in Italian…”
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Uncertainty analysis in cryptographic key recovery for machine learning-based power measurements attacks by Arpaia, Pasquale, Caputo, Francesco, Cioffi, Antonella, Esposito, Antonio, Isgro, Francesco

“…The present work concerns side-channel attacks on cryptographic devices protected with the advanced encryption standard. In this regard, the assessment of…”
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A survey on EEG-based solutions for emotion recognition with a low number of channels by Apicella, Andrea, Arpaia, Pasquale, Isgro, Francesco, Mastrati, Giovanna, Moccaldi, Nicola

“…The market uptake of Brain-Computer Interface technologies for clinical and non-clinical applications is attracting the scientific world towards the…”
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Methods to Retrieve the Cloud-Top Height in the Frame of the JEM-EUSO Mission by Anzalone, Anna, Bertaina, Mario Edoardo, Briz, Susana, Cassardo, Claudio, Cremonini, Roberto, de Castro, Antonio J., Ferrarese, Silvia, Isgro, Francesco, Lopez, Fernando, Tabone, Ilaria

“…The Japanese Experiment Module-Extreme Universe Space Observatory (JEM-EUSO) telescope will measure ultrahigh-energy cosmic ray properties by detecting the UV…”
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SVD-matching using SIFT features by Delponte, Elisabetta, Isgrò, Francesco, Odone, Francesca, Verri, Alessandro

“…The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we…”
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Unsupervised information extraction from italian clinical records by Alicante, Anita, Corazza, Anna, Isgrò, Francesco, Silvestri, Stefano

“…This paper discusses the application of an unsupervised text mining technique for the extraction of information from clinical records in Italian. The approach…”
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A distributed genetic algorithm for restoration of vertical line scratches by Isgrò, Francesco, Tegolo, Domenico

“…This paper reports a distributed algorithm for the restoration of still frames corrupted by vertical line scratches. The restoration is here approached as an…”
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The relationship between radiomics and pathomics in Glioblastoma patients: Preliminary results from a cross-scale association study by Brancato, Valentina, Cavaliere, Carlo, Garbino, Nunzia, Isgrò, Francesco, Salvatore, Marco, Aiello, Marco

“…Glioblastoma multiforme (GBM) typically exhibits substantial intratumoral heterogeneity at both microscopic and radiological resolution scales. Diffusion…”
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Special Issue on Deep Learning for Electroencephalography (EEG) Data Analysis by Prevete, Roberto, Isgrò, Francesco, Donnarumma, Francesco

“…Brain–computer interfaces (BCI) have emerged as a groundbreaking and transformative technology enabling communication between humans and computers through…”
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Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system by Briz, Susana, Anzalone, Anna, Isgrò, Francesco, Cremonini, Roberto, Tabone, Ilaria, Bertainav, Mario, Rodríguez, Irene, Fernández-Gómez, Isabel, Castro, Antonio J. de

“…The main telescope of JEM-EUSO will determine Ultra High Energy Cosmic Ray properties by measuring the UV fluorescence light generated in the interaction…”
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A pathomic approach for tumor-infiltrating lymphocytes classification on breast cancer digital pathology images by Verdicchio, Mario, Brancato, Valentina, Cavaliere, Carlo, Isgrò, Francesco, Salvatore, Marco, Aiello, Marco

“…The detection of tumor-infiltrating lymphocytes (TILs) could aid in the development of objective measures of the infiltration grade and can support…”
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Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification by Apicella, Andrea, Corazza, Anna, Isgrò, Francesco, Vettigli, Giuseppe

“…The use of ontological knowledge to improve classification results is a promising line of research. The availability of a probabilistic ontology raises the…”
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Integrating a Priori Probabilistic Knowledge into Classification for Image Description by Apicella, Andrea, Corazza, Anna, Isgro, Francesco, Vettigli, Giuseppe

“…This paper discusses a possible implementation of the integration of knowledge from a probabilistic ontology in the automatic description of images. This…”
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Monitoring Water Turbidity Using Remote Sensing Techniques by Domenico Miglino, Seifeddine Jomaa, Michael Rode, Francesco Isgro, Salvatore Manfreda

“…In the present work, the use of optical cameras for turbidity measurements is tested on the Bode River in Germany, which is one of the best-instrumented…”
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