About: Michelangelo Ceci

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

researcher ORCID ID = 0000-0002-6690-7583

Attributes	Values
rdf:type	Item
description	wetenschapper (nl) дослідник (uk) باحت (ary) изилдөөчү (ky) researcher ORCID ID = 0000-0002-6690-7583 (en)
rdfs:label	Michelangelo Ceci (en) Michelangelo Ceci (es) Michelangelo Ceci (it) Michelangelo Ceci (nl) Michelangelo Ceci (ast)
skos:prefLabel	Michelangelo Ceci (en) Michelangelo Ceci (es) Michelangelo Ceci (it) Michelangelo Ceci (nl) Michelangelo Ceci (ast)
name	Michelangelo Ceci (en) Michelangelo Ceci (es) Michelangelo Ceci (it) Michelangelo Ceci (nl) Michelangelo Ceci (ast)
IRIS UNIBA author ID	wds:Q58493536-879E3C84-04CF-45EE-A02D-E84D7A72CE3E
IRIS UNIBA author ID	16345
Scopus author ID	wds:Q58493536-40D2DD9D-F78C-4043-B77B-A5E355941970
Scopus author ID	6701472018
given name	wds:Q58493536-C1FA875C-D543-41E8-9678-6D9C5521C6FF
given name	Michelangelo
instance of	wds:Q58493536-E5AD7321-604B-4215-A4AA-82DB1EC6AA5F
instance of	Homo sapiens
zbMATH author ID	wds:Q58493536-c065b73d-4a47-0aab-cbdc-6bf6973bcd2f
doctoral advisor	wds:Q58493536-9aaedcc8-4291-7e7f-f73f-66eab470023e
doctoral student	wds:Q58493536-910ec42b-47d9-6650-5224-b2c9bc294dff
zbMATH author ID	ceci.michelangelo
doctoral advisor	Donato Malerba
doctoral student	Roberto Corizzo
occupation	wds:Q58493536-740F9D54-7D11-4E61-A38B-4497CE98B96E
employer	wds:Q58493536-8F19FF01-5999-4116-8A07-C94D3D0F54DF
sex or gender	wds:Q58493536-602C485F-67E2-4448-8650-37463FFCC04A
VIAF ID	wds:Q58493536-D002F746-8E0D-4639-9848-85004089CA27
GND ID	wds:Q58493536-4e89df93-2ce2-401e-963e-bbcbd9ee4966
DBLP author ID	wds:Q58493536-FE358D5F-D9E3-4058-B03B-DAA4C612F208
maintained by WikiProject	wds:Q58493536-E057E870-3A56-4CFC-A9E5-1E91C6452F29
educated at	wds:Q58493536-827bb493-4ed6-f8a7-35ec-ec53de37e972
family name	wds:Q58493536-046C67F8-C694-45ED-B9E6-9872B1A3E4D0
National Library of Israel J9U ID	wds:Q58493536-1DA200C5-D753-4C2D-896D-ACB6E6CC5DBC
official website	wds:Q58493536-affd567c-42bc-2459-0e54-304832dab786
VIAF ID	http://viaf.org/viaf/306106579
GND ID	https://d-nb.info/gnd/1204281629
DBLP author ID	https://dblp.org/pid/24/4914.rdf
occupation	researcher
employer	University of Bari
sex or gender	male
VIAF ID	306106579
GND ID	1204281629
DBLP author ID	24/4914
maintained by WikiProject	WikiProject Mathematics
educated at	University of Bari
family name	Ceci
National Library of Israel J9U ID	987007357720605171
official website	http://www.di.uniba.it/~ceci/
ORCID iD	wds:Q58493536-1F52E74C-430B-4B66-A156-E539C5118D80
Dimensions author ID	wds:Q58493536-DB6714DA-C79C-482F-A134-2208A65D5165
ORCID iD	https://orcid.org/0000-0002-6690-7583
ORCID iD	0000-0002-6690-7583
Dimensions author ID	011046151413.96
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58493536
is author of	Innovative power operating center management exploiting big data techniques Global and Local Spatial Autocorrelation in Predictive Clustering Trees Discovering Emerging Patterns for Anomaly Detection in Network Connection Data Emerging Pattern Based Classification in Relational Data Mining Mining Model Trees from Spatial Data A novel biclustering algorithm for the discovery of meaningful biological correlations between microRNAs and their target genes Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. Semi-Supervised Multi-View Learning for Gene Network Reconstruction Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach Relational mining for discovering changes in evolving networks Dealing with spatial autocorrelation when learning predictive clustering trees Discovering Evolution Chains in Dynamic Networks Learning and Transferring Geographically Weighted Regression Trees across Time Mining Spatial Association Rules for Composite Motif Discovery Project D.A.M.A.: Document Acquisition, Management and Archiving A Relational Approach for Discovering Frequent Patterns with Disjunctions Novelty Detection from Evolving Complex Data Streams with Time Windows Machine Learning for Reading Order Detection in Document Image Understanding RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING Relational learning techniques for document image understanding: comparing statistical and logical approaches Classifying web documents in a hierarchy of categories: a comprehensive study CloFAST: closed sequential pattern mining using sparse and vertical id-lists Automatic Extraction of Logical Web Lists Top-down induction of model trees with regression and splitting nodes Distributed and explainable GHSOM for anomaly detection in sensor networks Network Reconstruction for the Identification of miRNA:mRNA Interaction Networks Document Image Understanding through Iterative Transductive Learning Discovering process models through relational disjunctive patterns mining MBlab: Molecular Biodiversity Laboratory An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding Identifying lncRNA-Disease Relationships via Heterogeneous Clustering Transductive Relational Classification in the Co-training Paradigm

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