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https://phd.dii.unipi.it/publications/item/4278-messina,-n-,-amato,-g-,-carrara,-f-,-gennaro,-c-,-falchi,-f-2021-solving-the-same-different-task-with-convolutional-neural-networks-pattern-recognition-letters,-143,-75-80.html
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https://phd.dii.unipi.it/publications/item/4277-messina,-n-,-amato,-g-,-falchi,-f-,-gennaro,-c-,-and-marchand-maillet,-s-2021-towards-efficient-cross-modal-visual-textual-retrieval-using-transformer-encoder-deep-features-cbmi-2021-pp-1-6-ieee.html
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https://phd.dii.unipi.it/publications/item/4276-amato,-g-,-bolettieri,-p-,-falchi,-f-,-gennaro,-c-,-messina,-n-,-vadicamo,-l-,-vairo,-c-2021,-june-visione-at-video-browser-showdown-2021-in-international-conference-on-multimedia-modeling-pp-473-478-springer,-cham.html
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https://phd.dii.unipi.it/publications/item/4275-messina,-n-,-falchi,-f-,-gennaro,-c-,-amato,-g-2021,-august-aimh-at-semeval-2021-task-6-multimodal-classification-using-an-ensemble-of-transformer-models-in-proceedings-of-the-15th-international-workshop-on-semantic-evaluation-semeval-2021.html
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ABSTRACT Variations and fluctuations are characteristic features of biological systems and are also manifested in cell cultures. Here we describe a computational pipeline for identifying the range of 3-dimensional (3D) cell aggregate sizes in which...
https://phd.dii.unipi.it/publications/item/4274-e-botte,-f-biagini,-c-magliaro,-a-rinaldo,-a-maritan-and-a-ahluwalia-scaling-of-joint-mass-and-metabolism-fluctuations-in-in-silico-cell-laden-spheroids-,-proceedings-of-the-national-academy-of-sciences-pnas-,-august-2021.html
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https://phd.dii.unipi.it/publications/item/4240-https-doi-org-10-3390-ijms22179597.html
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https://phd.dii.unipi.it/publications/item/4239-doi-10-1039-d1tb01335a.html
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https://phd.dii.unipi.it/publications/item/4238-doi-10-1039-d1tb01335a.html
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https://phd.dii.unipi.it/pubblicazioni/item/4235-a-de-jesus-torres,-a-a-d-amico,-l-sanguinetti,-m-win-cramér-rao-bounds-for-near-field-localization-,-accepted-at-asilomar-conference-2021.html
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Abstract: With the advent of 5G and the research into beyond 5G (B5G) networks, a novel and very relevant research issue is how to manage the coexistence of different types of traffic, each with very stringent but completely different requirements. We...
https://phd.dii.unipi.it/pubblicazioni/item/4234-f-saggese,-l-pasqualini,-m-moretti,-a-abrardo-deep-reinforcement-learning-for-urllc-data-management-on-top-of-scheduled-embb-traffic-,-accepted-on-globecom-2021,-madrid.html
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Lithium-Ion batteries are becoming a standard solution for automotive applications. These batteries must be equipped with a Battery Management System that monitors and controls the battery avoiding hazardous situations. The battery current measurement...
https://phd.dii.unipi.it/pubblicazioni/item/4233-verani,-a-,-di-rienzo,-r-,-baronti,-f-,-roncella,-r-,-saletti,-r-2022-analysis-of-thermal-induced-shunt-current-sensor-errors-in-a-low-cost-battery-management-system-in-saponara,-s-,-de-gloria,-a-eds-applications-in-electronics-pervading-ind.html
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https://phd.dii.unipi.it/pubblicazioni/item/4229-l-ciampi,-c-santiago,-j-p-costeira,-c-gennaro,-g-amato-domain-adaptation-for-traffic-density-estimation-,-16th-international-conference-on-computer-vision-theory-and-applications-visapp-2021-,-8-10-february,-2021.html
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This paper studies the uplink spectral efficiency (SE) achieved by two single-antenna user equipments (UEs) communicating with a Large Intelligent Surface (LIS), defined as a planar array consisting of N antennas that each has area A. The analysis is...
https://phd.dii.unipi.it/pubblicazioni/item/4219-https-ieeexplore-ieee-org-abstract-document-9443437.html
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Radiological measurements and traceability of materials are becoming more and more important in the industrial sector of stones and building materials for both producers and users. This is due to the recent European regulatory restrictions on the...
https://phd.dii.unipi.it/publications/item/4215-https-ieeexplore-ieee-org-abstract-document-9138175.html
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Within the field of automatic speech recognition, the processing of dysarthric speech is a challenge because standard approaches are ineffective in presence of dysarthria. This paper presents preliminary evidence that the performance of...
https://phd.dii.unipi.it/publications/item/4214-https-link-springer-com-chapter-10-1007-978-3-030-66729-0_13.html
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In the building material and stones market, lots of restrictions are coming in different world zones. In Europe, a recent regulatory set up the maximum level of radiological emissions for materials intended for use in public and private building...
https://phd.dii.unipi.it/publications/item/4213-https-www-mdpi-com-1424-8220-21-2-352.html
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Within the field of Automatic Speech Recognition (ASR) systems, facing impaired speech is a big challenge because standard approaches are ineffective in the presence of dysarthria. The first aim of our work is to confirm the effectiveness of a new...
https://phd.dii.unipi.it/publications/item/4212-https-www-mdpi-com-1424-8220-21-19-6460.html
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This paper describes IDEA a database of Italian dysarthric speech produced by 45 speakers affected by 8 different pathologies. Neurologic diagnoses were collected from the subjects' medical records, while dysarthria assessment was conducted by a speech...
https://phd.dii.unipi.it/publications/item/4211-https-ieeexplore-ieee-org-abstract-document-9383467.html
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This paper investigates machine learning approaches toward the development of a speaker dependent keywords spotting system intended for users with speech disorders, in particular for those with dysarthria, i.e., a neuromotor speech impairment...
https://phd.dii.unipi.it/publications/item/4210-https-www-sciencedirect-com-science-article-pii-s1568494621000703.html
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The recent advances in language modeling significantly improved the generative capabilities of deep neural models: in 2019 OpenAI released GPT-2, a pre-trained language model that can autonomously generate coherent, non-trivial and human-like text...
https://phd.dii.unipi.it/pubblicazioni/item/4209-fagni-t,-falchi-f,-gambini-m,-martella-a,-tesconi-m-2021-tweepfake-about-detecting-deepfake-tweets-plos-one-16-5-e0251415-https-doi-org-10-1371-journal-pone-0251415.html