About: Alessio Micheli

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About: Alessio Micheli Goto Sponge NotDistinct Permalink

An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher ORCID ID = 0000-0001-5764-5238

Attributes	Values
rdf:type	Item
description	forskare (sv) 研究者 (ja) wetenschapper (nl) дослідник (uk) эрдэмтэн (mn) изилдөөчү (ky) researcher ORCID ID = 0000-0001-5764-5238 (en)
rdfs:label	Alessio Micheli (en) Alessio Micheli (es) Alessio Micheli (it) Alessio Micheli (nl) Alessio Micheli (ast)
skos:prefLabel	Alessio Micheli (en) Alessio Micheli (es) Alessio Micheli (it) Alessio Micheli (nl) Alessio Micheli (ast)
name	Alessio Micheli (en) Alessio Micheli (es) Alessio Micheli (it) Alessio Micheli (nl) Alessio Micheli (ast)
given name	wds:Q58659790-0C4E1597-2E78-4A44-B8EC-60B8CF8CB82C
given name	Alessio
instance of	wds:Q58659790-6AFD6147-5446-4EC9-A902-8870766B9963
instance of	Homo sapiens
occupation	wds:Q58659790-B3381C36-6844-4E7A-955D-1B51055EFDE8
employer	wds:Q58659790-63F17221-8CD5-47AB-941D-C36B52529F69
sex or gender	wds:Q58659790-BD5E88BF-1DF2-49E1-9C12-55FE420A74FD
DBLP author ID	wds:Q58659790-80189DCC-BFCD-4DF7-97FA-0B06CDFAEC2C
educated at	wds:Q58659790-2C6012F0-50CA-40BA-9F1C-A22CC0B65D49
family name	wds:Q58659790-1FB3DA04-0758-4825-A208-E55EC2AF8F57
DBLP author ID	https://dblp.org/pid/34/4759.rdf
occupation	researcher
employer	University of Pisa
sex or gender	male
DBLP author ID	34/4759
educated at	University of Pisa
family name	Micheli
ORCID iD	wds:Q58659790-82494BD0-00C7-4E39-894A-484D3BAA744A
ORCID iD	https://orcid.org/0000-0001-5764-5238
ORCID iD	0000-0001-5764-5238
ARPI author ID	wds:Q58659790-D3DAE977-9AF4-471E-A583-9DB9CAEDABC1
ARPI author ID	07694
Padua Research Archive author ID	wds:Q58659790-A481B28D-F8E1-4A08-8131-0C26E3696A74
Padua Research Archive author ID	194565
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58659790
is author of	Design of deep echo state networks Generative Kernels for Tree-Structured Data Predicting physical-chemical properties of compounds from molecular structures by recursive neural networks. QSPR Analysis of Copolymers by Recursive Neural Networks: Prediction of the Glass Transition Temperature of (Meth)acrylic Random Copolymers. Evaluation of hierarchical structured representations for QSPR studies of small molecules and polymers by recursive neural networks.
is author of	wds:Q57405571-160507D5-5694-4EC0-918F-0CB47D042AEE wds:Q89560546-B4CBCA6D-83D9-4D2E-A8D3-3DB89CCBF2D5 wds:Q39554878-17B4F71C-9FC4-48AB-B394-5D0060E0ACDB wds:Q52006388-375D6DEC-A663-4703-A1B1-F6AFDC644AEE wds:Q45116911-04882BC6-B727-4493-B618-B2B430A7C90F

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