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2021 Report Closed Access

Progetto DiOncoGen CloudPathology - Secondo test di valutazione delle informazioni sul secondo dataset
Martinelli M., Bruno A., Moroni D.
Il presente documento fornisce i risultati del secondo test di valutazione del secondo dataset ricevuto nell'ambito del progetto DiOncoGen-CloudPathology.Source: Project report, DiOncoGen CloudPathology, 2021

See at: CNR ExploRA Restricted


2021 Report Closed Access

Barilla AgroSat+ Server, Client e Modelli
Bruno A., Moroni D., Martinelli M.
Server, Client e Modelli del Progetto Barilla AgroSat+Source: ISTI Project report, Barilla Agrosat+, 2021

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2021 Report Closed Access

Barilla Agrosat+ Organi, aggiornamenti, confronti
Bruno A., Moroni D., Martinelli M.
Aggiornamenti e confronti. Progetto Barilla Agrosat+Source: ISTI Project report, AgroSat+, 2021

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2021 Report Closed Access

Barilla Agrosat+ - Riorganizzazione task e nuovi modelli
Bruno A., Moroni D., Martinelli M.
Riorganizzazione task e nuovi modelli, integrazione app mobile, sito Web, modelli di AI, progetto Barilla Agrosat+ - Presentazione draft articolo.Source: ISTI Project report, Barilla Agrosat+, 2021

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2021 Report Closed Access

Improving Plant Disease Classification by Adaptive Minimal Ensembling
Bruno A., Moroni D., Dainelli R., Rocchi L., Toscano P., Ferrari E., Martinelli M.
Plant disease diagnosis is a challenging and time consuming process. In recent years, the evolution of neural network technologies has made it possible to improve automatic recognition. In this article, we propose a novel method to improve the state of the art in plant disease classification. Using as baseline EfficientNet, a recent and advanced family of architectures, we have devised and applied specific design choices, namely stratification, refining validation, regularization and minimal ensembling, using specific transfer learning, optimizer and accuracy test. Our method was tested on PlanVillage as baseline, a public reference dataset used to benchmark models' performances in this domain in both its original and augmented versions, with 55,448 and 61,486 images, respectively. We noticeably improved the state of the art of PlantVillage classification by achieving zero errors in both the original and augmented dataset. In addition, the proposed method requires fewer parameters than the previous state of the art. Results shown were obtained using PyTorch to train, test and validate the models; reproducibility is granted by the provision of exhaustive details including hyperparameters used in the experimentation. A Web interface is also made publicly available to test the proposed methods.Source: ISTI Working papers, 2021

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2021 Report Closed Access

Barilla Agrosat+ - Aggiornamento modelli e Beta release
Bruno A., Moroni D., Martinelli M.
Aggiornamento Modelli di AI, rilascio Beta release, progetto Barilla Agrosat+ - Presentazione nuovo draft articolo.Source: ISTI Project report, Barilla Agrosat+, 2021

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2021 Report Closed Access

TiAssisto - Obiettivo Operativo 4
Martinelli M., Bruno A., Moroni D.
Presentazione Kick-Off Meeting Bando Ricerca COVID-19 Regione Toscana Progetto TiAssisto Obiettivo Operativo 4.Source: ISTI Project report, TIAssisto, 2021

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2021 Report Closed Access

Barilla Agrosat+ - Insetti, aggiornamento modelli, merge, gestore richiesta, et al.
Bruno A., Moroni D., Martinelli M.
Insetti, aggiornamento modelli, merge, gestore richiesta, et al.Source: ISTI Project report, Barilla Agrosat+, 2021

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2021 Report Closed Access

Barilla AgroSat+ - Preparazione al "Test Day"
Bruno A., Moroni D., Martinelli M.
Nuovi modelli di AI, progetto Barilla Agrosat+ - Conclusione articolo.Source: ISTI Project report, Barilla Agrosat+, 2021

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2021 Report Closed Access

TiAssisto 0.0.3 - Analisi del flusso di funzionamento della piattaforma di telemedicina - Aggiornamento 26/7/2021
Bruno A., Martinelli M., Moroni D., Bastiani L., Pratali L., Cicalini D., Memmini S., Tomei A.
Descrizione del flusso di funzionamento della piattaforma di telemedicina TiAssisto: aggiornamenti ed estensioni.Source: ISTI Project report, TIAssisto O.O.3, 2021

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2021 Report Open Access OPEN

SI-Lab Annual Research Report 2020
Leone G. R., Righi M., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Buongiorno R., Bruno A., Germanese D., Matarese F., Coscetti S., Coltelli P., Jalil B., Benassi A., Bertini G., Salvetti O., Moroni D.
The Signal & Images Laboratory (http://si.isti.cnr.it/) is an interdisciplinary research group in computer vision, signal analysis, smart vision systems and multimedia data understanding. It is part of the Institute for Information Science and Technologies of the National Research Council of Italy. This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2020.Source: ISTI Technical Report, ISTI-2021-TR/009, pp.1–38, 2021
DOI: 10.32079/isti-tr-2021/009

See at: ISTI Repository Open Access | CNR ExploRA Open Access


2021 Report Closed Access

Barilla Agrosat+ - Aggiornamento 09/21
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramento, to-do list, situazione articolo, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2021

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2020 Report Closed Access

Flusso Modulo IA. - Barilla AgroSat+
Bruno A., Moroni D., Martinelli M.
Flusso Modulo IA. - Barilla AgroSat+Source: Project Report, Barilla AgroSat+, 2020

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2020 Report Closed Access

Barilla AgroSat+ Quarto aggiornamento
Benassi A., Bruno A., Galesi G., Moroni D., Pardini F., Ovidio Salvetti O., Martinelli M.
Prototipi vari per progetto Barilla Agrosat+.Source: Project report, AgroSat+, 2020

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2020 Report Closed Access

Barilla AgroSat+: Interazione App-Server e Modelli
Bruno A., Moroni D., Martinelli M., Rocchi L., Dainelli R., Toscano P
Interazione App-Server e Modelli per il Progetto Barilla AgroSat+Source: Project report, AgroSat+, 2020

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2020 Report Closed Access

Barilla AgroSat+: Protocollo di Comunicazione
Bruno A., Moroni D., Martinelli M., Rocchi L., Dainelli R., Toscano P
Protocollo di Comunicazione Progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020

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