CECI, MICHELANGELO
 Distribuzione geografica
Continente #
EU - Europa 281
NA - Nord America 195
AS - Asia 27
OC - Oceania 8
AF - Africa 3
Totale 514
Nazione #
IT - Italia 242
US - Stati Uniti d'America 187
DE - Germania 22
VN - Vietnam 11
AU - Australia 8
CA - Canada 8
FR - Francia 6
CN - Cina 4
SE - Svezia 4
TR - Turchia 4
IN - India 3
BE - Belgio 2
HK - Hong Kong 2
SG - Singapore 2
ZA - Sudafrica 2
CZ - Repubblica Ceca 1
DK - Danimarca 1
GB - Regno Unito 1
MA - Marocco 1
RO - Romania 1
RU - Federazione Russa 1
SA - Arabia Saudita 1
Totale 514
Città #
Bari 124
Fairfield 26
Altamura 21
Cisternino 15
Adelfia 12
Berlin 12
Dong Ket 11
Boardman 10
Woodbridge 9
Wilmington 8
Buffalo 7
Foggia 7
Ashburn 6
Seattle 6
Nuremberg 5
San Diego 5
Sydney 5
Linköping 4
Bergamo 3
Delhi 3
Houston 3
Cambridge 2
Central 2
Changsha 2
Chicago 2
Gravina In Puglia 2
Hobart 2
Istanbul 2
Las Vegas 2
Malatya 2
Münster 2
New York 2
Queens 2
San Francisco 2
Shenyang 2
Singapore 2
Adelaide 1
Ann Arbor 1
Arad 1
Atlanta 1
Bridgewater 1
Brockport 1
Brussels 1
Büdelsdorf 1
Chandler 1
Copenhagen 1
Denver 1
Frankfurt Am Main 1
Herndon 1
Jeddah 1
Kraainem 1
London 1
Los Angeles 1
Martina Franca 1
Milan 1
Muizenberg 1
Noci 1
Palo Alto 1
Provo 1
Rockville 1
Ruvo Di Puglia 1
San Jose 1
Sherbrooke 1
Taranto 1
Toronto 1
Triggiano 1
Turin 1
Vancouver 1
Totale 364
Nome #
DENCAST: distributed density-based clustering for multi-target regression, file dd9e0c66-9f9a-1e9c-e053-3a05fe0a45ef 51
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data, file dd9e0c6b-6ae2-1e9c-e053-3a05fe0a45ef 44
ComiRNet: A web-based system for the analysis of miRNA-gene regulatory networks, file dd9e0c64-28bd-1e9c-e053-3a05fe0a45ef 38
Semi-Supervised Multi-View Learning for Gene Network Reconstruction, file dd9e0c64-315d-1e9c-e053-3a05fe0a45ef 38
Introduction to the special issue on discovery science, file dd9e0c6a-ad22-1e9c-e053-3a05fe0a45ef 34
Big Data Research in Italy: A Perspective, file dd9e0c64-33de-1e9c-e053-3a05fe0a45ef 30
Self-training for multi-target regression with tree ensembles, file dd9e0c6c-353b-1e9c-e053-3a05fe0a45ef 25
Relational mining for discovering changes in evolving networks, file dd9e0c6b-fd2b-1e9c-e053-3a05fe0a45ef 20
Predictive modeling of PV energy production: How to set up the learning task for a better prediction?, file dd9e0c6c-1f26-1e9c-e053-3a05fe0a45ef 17
Semi-supervised trees for multi-target regression, file dd9e0c6c-3832-1e9c-e053-3a05fe0a45ef 15
Self-training for multi-target regression with tree ensembles, file dd9e0c69-e97c-1e9c-e053-3a05fe0a45ef 14
Predictive modeling of PV energy production: How to set up the learning task for a better prediction?, file dd9e0c6a-04c8-1e9c-e053-3a05fe0a45ef 14
CloFAST: closed sequential pattern mining using sparse and vertical id-lists, file dd9e0c6c-3b8b-1e9c-e053-3a05fe0a45ef 14
Relational mining for discovering changes in evolving networks, file dd9e0c64-2a25-1e9c-e053-3a05fe0a45ef 13
Semi-supervised trees for multi-target regression, file dd9e0c6a-562e-1e9c-e053-3a05fe0a45ef 11
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks, file dd9e0c6a-ef0d-1e9c-e053-3a05fe0a45ef 11
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets, file dd9e0c6c-39db-1e9c-e053-3a05fe0a45ef 11
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data, file dd9e0c6c-39e1-1e9c-e053-3a05fe0a45ef 10
Mining microscopic and macroscopic changes in network data streams, file dd9e0c69-cff7-1e9c-e053-3a05fe0a45ef 9
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks, file dd9e0c6a-124e-1e9c-e053-3a05fe0a45ef 9
CloFAST: closed sequential pattern mining using sparse and vertical id-lists, file dd9e0c6a-1fcc-1e9c-e053-3a05fe0a45ef 9
Spatial autocorrelation and entropy for renewable energy forecasting, file dd9e0c6c-4fb0-1e9c-e053-3a05fe0a45ef 9
Multi-type clustering and classification from heterogeneous networks, file dd9e0c6c-7152-1e9c-e053-3a05fe0a45ef 8
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data, file dd9e0c65-ae53-1e9c-e053-3a05fe0a45ef 7
Multi-type clustering and classification from heterogeneous networks, file dd9e0c6a-2955-1e9c-e053-3a05fe0a45ef 7
Mining microscopic and macroscopic changes in network data streams, file dd9e0c6b-e306-1e9c-e053-3a05fe0a45ef 7
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets, file dd9e0c6a-149a-1e9c-e053-3a05fe0a45ef 6
Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks, file dd9e0c62-5bf8-1e9c-e053-3a05fe0a45ef 4
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome, file dd9e0c65-13bc-1e9c-e053-3a05fe0a45ef 4
Exploiting Transfer Learning for the Reconstruction of the Human Gene Regulatory Network, file dd9e0c66-7989-1e9c-e053-3a05fe0a45ef 4
null, file dd9e0c62-7529-1e9c-e053-3a05fe0a45ef 3
Spatial autocorrelation and entropy for renewable energy forecasting, file dd9e0c6a-4b5a-1e9c-e053-3a05fe0a45ef 3
Transductive Relational Classification in the Co-training Paradigm, file dd9e0c64-2790-1e9c-e053-3a05fe0a45ef 2
Network Regression with Predictive Clustering Trees, file dd9e0c62-49a5-1e9c-e053-3a05fe0a45ef 1
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach, file dd9e0c62-5bf7-1e9c-e053-3a05fe0a45ef 1
A Grid-based Multi-Relational Approach to Process Mining, file dd9e0c62-70f8-1e9c-e053-3a05fe0a45ef 1
Transductive learning for spatial regression with co-training, file dd9e0c62-748c-1e9c-e053-3a05fe0a45ef 1
Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database, file dd9e0c63-96a6-1e9c-e053-3a05fe0a45ef 1
Recent advances in mining patterns from complex data, file dd9e0c63-9894-1e9c-e053-3a05fe0a45ef 1
Dealing with spatial autocorrelation in gene flow modeling, file dd9e0c63-9922-1e9c-e053-3a05fe0a45ef 1
Dealing with Spatial Autocorrelation when Learning Predictive Clustering Trees, file dd9e0c63-9fdd-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c64-9fd2-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c65-2e19-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c65-f08e-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c66-9f9d-1e9c-e053-3a05fe0a45ef 1
Exploiting causality in gene network reconstruction based on graph embedding, file dd9e0c68-6c9e-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c69-9d8e-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c69-b4e1-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c69-e4b0-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c69-f6e1-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c69-f6e2-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c69-f6e4-1e9c-e053-3a05fe0a45ef 1
Semi-supervised classification trees, file dd9e0c6a-07d3-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c6a-16b6-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c6a-3ee0-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c6a-4c3a-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c6a-5080-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c6a-5081-1e9c-e053-3a05fe0a45ef 1
null, file dd9e0c6a-5085-1e9c-e053-3a05fe0a45ef 1
Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering, file dd9e0c6a-56c5-1e9c-e053-3a05fe0a45ef 1
Totale 528
Categoria #
all - tutte 877
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 877


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2017/20187 0003 10 00 2100
2019/20205 1001 11 10 0000
2020/2021114 0000 633 69 16121319
2021/2022277 6532 518 810 72515839
2022/2023115 3630490 00 00 0000
Totale 528