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[null,"1.","Record Nr.",null,"UNIORUON00479926"]
[null,null,"Titolo",null,"L'entreprise multinationale et le droit international / Société Française pour le Droit International ; sous la direction de Laurence Dubin, Pierre Bodeau-Livinec, [et alii] - Paris : Pedone, 2017"]
[null,null,"Pubbl/distr/stampa",null,"521 p. ; 23 cm."]
[null,null,"ISBN",null,"978-22-330-0833-6"]
[null,null,"Soggetti",null,"MULTINAZIONALI - Diritto internazionale"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910820517803321"]
[null,null,"Autore",null,"Shawcross John T."]
[null,null,"Titolo",null,"John Milton : the self and the world / / John T. Shawcross"]
[null,null,"Pubbl/distr/stampa",null,"Lexington, Kentucky : , : The University Press of Kentucky, , 1993"]
[{"$nulls":4},"©1993"]
[null,null,"ISBN",null,"0-8131-5791-9"]
[{"$nulls":4},"0-8131-7014-1"]
[null,null,"Descrizione fisica",null,"1 online resource (370 p.)"]
[null,null,"Collana",null,"Studies in the English Renaissance"]
[null,null,"Disciplina",null,"821/.4"]
[null,null,"Soggetti",null,"Poets, English - Early modern, 1500-1700 - Psychology"]
[{"$nulls":4},"Psychoanalysis and literature - England"]
[{"$nulls":4},"Poetry - Psychological aspects"]
[{"$nulls":4},"Self in literature"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Cover; Title; Copyright; Contents; Acknowledgments; 1. The Roots of  Being: Some Problems in Milton's Biography; 2. A Biographical and Literary Overview to 1645; 3. The Lady of  Christ's; 4. Decision to Become a  Poet; 5. Preparations; 6. The Left Hand and the Great Purpose; 7. Education as Means; 8. Covenant: Sacred and Profaned; 9. Moves toward the Great Purpose; 10. A Biographical and Literary Overview  to 1674; 11. Interferences of the Self; 12. The Personal World: Man and Woman; 13. Further Interferences of the Self; 14. The Political Dimension; 15. The Religious Precept; 16. The Bible"]
[{"$nulls":4},"17. Milton and 1674Appendix A: The Commonplace Book; Appendix B: Languages in the Commonplace Book; Appendix C: Dating of the Plans; Notes; Index"]
[null,null,null,"Sommario/riassunto","The facts of John Milton's life are well documented, but what of the person Milton -- the man whose poetic and prose works have been deeply influential and are still the subject of opposing readings? John Shawcross's \"\"different\"\" biography depicts the man against a psychological backdrop that brings into relief who he was -- in his works and from his works.While the theories of Freud, Lacan, Kohut, and others underlie this pursuit of Milton's \"\"self,\"\" Jung and some of his followers provide the basic understanding by which Shawcross places Milton in the panorama of history. His explorations o"]
[null,"3.","Record Nr.",null,"UNINA9910512174803321"]
[null,null,"Titolo",null,"Advanced Analytics and Learning on Temporal Data : 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers / / edited by Vincent Lemaire, Simon Malinowski, Anthony Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"3-030-91445-3"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (202 pages)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 13114"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Social sciences - Data processing"]
[{"$nulls":4},"Education - Data processing"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Computer Application in Social and Behavioral Sciences"]
[{"$nulls":4},"Computers and Education"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Oral Presentation -- Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification -- State Space approximation of Gaussian Processes for time-series forecasting -- Fast Channel Selection for Scalable Multivariate Time Series Classification -- Temporal phenotyping for characterisation of hospital care pathways of COVID patients -- A New Multivariate Time Series Co-clustering Non-Parametric Model Applied to Driving-Assistance Systems Validation -- TRAMESINO: Trainable Memory System for Intelligent Optimization of Road Traffic Control -- Detection of critical events in renewable energy production time series -- Poster Presentation -- Multimodal Meta-Learning for Time Series Regression -- Cluster-based Forecasting for Intermittent and Non-intermittent Time Series -- State discovery and prediction from multivariate sensor "]
[{"$nulls":4},"data -- RevDet: Robust and Memory Efficient Event Detection and Tracking in Large News Feeds -- From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 6th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2021, held during September 13-17, 2021. The workshop was planned to take place in Bilbao, Spain, but was held virtually due to the COVID-19 pandemic. The 12 full papers presented in this book were carefully reviewed and selected from 21 submissions. They focus on the following topics: Temporal Data Clustering; Classification of Univariate and Multivariate Time Series; Multivariate Time Series Co-clustering; Efficient Event Detection; Modeling Temporal Dependencies; Advanced Forecasting and Prediction Models; Cluster-based Forecasting; Explanation Methods for Time Series Classification; Multimodal Meta-Learning for Time Series Regression; and Multivariate Time Series Anomaly Detection. ."]