LEADER 01853nam 2200361 450 001 9910424600103321 005 20210723130835.0 035 $a(CKB)3810000000208118 035 $a(EXLCZ)993810000000208118 100 $a20170612c2016uuuu uu 0 101 0 $aeng 135 $auubu#---uuuuu 181 $ctxt$2rdacontent 182 $cn$2rdamedia 183 $anc$2rdacarrier 200 10$aVisioni critiche $erecensioni teatrali da l'Unità-Toscana (1975-1983) /$fSiro Ferrone; a cura di Teresa Megale e Francesca Simoncini, trascrizioni di Elena Lenzi 210 1$aFirenze :$cFirenze University Press,$d2016 215 $a1 online resource (376 pages) 225 1 $aStudi e saggi ;$v159 311 08$aPrint version: 9788864533810 320 $aIncludes bibliographical references and index. 330 $aLike a two-faced Janus, Siro Ferrone carried out both research on theatre and theatre criticism, combining academic research and stage experience. His reviewer activity, carried out without interruptions, is now for the first time transcribed and organically collected in a volume. The articles, which appeared on the pages of ?l'Unità-Toscana?, are today an important source for the analysis of significant shows staged in the main Tuscan theatres between 1975 and 1983. The result is the documentation of a period of fertile and avant-garde theatrical production, here retraced through the aware and illuminating testimonies of one of the main Italian historians of performing arts. 410 0$aStudi e saggi ;$v159. 608 $bElectronic books. 700 $aFerrone$b Siro$0192283 702 $aMegale$b Teresa 702 $aSimoncini$b Francesca 702 $aLenzi$b Elena 801 0$bUkMaJRU 906 $aBOOK 912 $a9910424600103321 996 $aVisioni critiche$92200818 997 $aUNINA LEADER 03176nam 2200433 450 001 9910554496703321 005 20230629235556.0 010 $a3-11-066832-7 035 $a(CKB)4100000011689934 035 $a(MiAaPQ)EBC6478599 035 $a(DE-B1597)532619 035 $a(DE-B1597)9783110668322 035 $a(EXLCZ)994100000011689934 100 $a20210320d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aArtificial intelligence for data-driven medical diagnosis /$fedited by Deepak Gupta [and three others] 210 1$aBerlin ;$aBoston :$cDe Gruyter,$d[2021] 210 4$d©2021 215 $a1 online resource (328 pages) 225 1 $aIntelligent Biomedical Data Analysis ;$vVolume 3 311 $a3-11-066781-9 327 $tFrontmatter -- $tPreface -- $tAcknowledgment -- $tContents -- $tList of contributors -- $t1 Performance of CNN for predicting cancerous lung nodules using LightGBM -- $t2 Deep learning-based cellular image analysis for intelligent medical diagnosis -- $t3 Deep learning approaches in metastatic breast cancer detection -- $t4 Machine learning: an ultimate solution for diagnosis and treatment of cancer -- $t5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy -- $t6 Diagnosis disease from medical databases using neural networks: a review -- $t7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images -- $t8 Decentralized solutions for data collection and privacy in healthcare -- $t9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings -- $t10 Automated gastric cancer detection and classification using machine learning -- $t11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies -- $t12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images -- $t13 A machine vision technique-based tongue diagnosis system in Ayurveda -- $t14 Vine copula and artificial neural network models to analyze breast cancer data -- $tIndex 330 $aThis book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results. 410 0$aIntelligent biomedical data analysis ;$vVolume 3. 606 $aArtificial intelligence 615 0$aArtificial intelligence. 676 $a006.3 702 $aGupta$b Deepak 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554496703321 996 $aArtificial intelligence for data-driven medical diagnosis$92817453 997 $aUNINA