MALCHIODI, DARIO
 Distribuzione geografica
Continente #
EU - Europa 1844
NA - Nord America 1316
AS - Asia 427
AF - Africa 33
SA - Sud America 28
Continente sconosciuto - Info sul continente non disponibili 5
OC - Oceania 5
Totale 3658
Nazione #
IT - Italia 1399
US - Stati Uniti d'America 1293
CN - Cina 178
GB - Regno Unito 104
IN - India 92
DE - Germania 91
FR - Francia 78
KR - Corea 34
RU - Federazione Russa 29
JP - Giappone 24
CA - Canada 18
FI - Finlandia 18
CZ - Repubblica Ceca 17
EG - Egitto 16
PH - Filippine 14
IR - Iran 13
ZA - Sudafrica 13
A1 - ???statistics.table.value.countryCode.A1??? 12
HK - Hong Kong 12
NL - Olanda 12
BR - Brasile 11
CH - Svizzera 11
ES - Italia 11
CL - Cile 10
GR - Grecia 10
ID - Indonesia 10
VN - Vietnam 10
EU - Europa 9
BE - Belgio 8
AT - Austria 7
TW - Taiwan 7
UA - Ucraina 7
TH - Thailandia 6
DK - Danimarca 5
HR - Croazia 5
IL - Israele 5
MX - Messico 5
PL - Polonia 5
SI - Slovenia 5
AU - Australia 4
PE - Perù 4
PT - Portogallo 4
TR - Turchia 4
IQ - Iraq 3
LK - Sri Lanka 3
MY - Malesia 3
NG - Nigeria 3
NO - Norvegia 3
SA - Arabia Saudita 3
SG - Singapore 3
CO - Colombia 2
IE - Irlanda 2
LT - Lituania 2
LV - Lettonia 2
PK - Pakistan 2
RO - Romania 2
SE - Svezia 2
BA - Bosnia-Erzegovina 1
BG - Bulgaria 1
BO - Bolivia 1
EE - Estonia 1
KH - Cambogia 1
NZ - Nuova Zelanda 1
SK - Slovacchia (Repubblica Slovacca) 1
SM - San Marino 1
TN - Tunisia 1
Totale 3674
Città #
Milan 181
Houston 168
Fairfield 157
Modena 142
Ann Arbor 106
Seattle 88
Santa Cruz 70
Woodbridge 68
Buffalo 65
Ashburn 62
Cambridge 58
Wilmington 52
Rome 43
Southend 43
Mountain View 39
Piacenza 38
Beijing 31
Napoli 23
San Diego 20
Guangzhou 19
Bengaluru 16
University Park 16
Changsha 14
Clearwater 14
Wuhan 14
Chicago 12
Dallas 12
Shenyang 12
Helsinki 11
Muizenberg 11
New Delhi 11
Madras 10
Torino 10
Hangzhou 9
Palermo 9
Hefei 8
Hyderabad 8
Las Vegas 8
Phoenix 8
Redmond 8
Carugate 7
Dearborn 7
Florence 7
Ottawa 7
Shanghai 7
Taipei 7
Taranto 7
Birmingham 6
Bologna 6
Milpitas 6
Mumbai 6
Munich 6
Nanchang 6
Rende 6
Verona 6
Belluno 5
Durham 5
Ferrara 5
La Mancha 5
Nanjing 5
Nürnberg 5
Olching 5
Rho 5
Tilburg 5
Toronto 5
Avezzano 4
Bangalore 4
Bari 4
Berlin 4
Caserta 4
Central District 4
Crotone 4
Dong Ket 4
Duncan 4
Fuzhou 4
Genoa 4
Genova 4
Hanoi 4
Jacksonville 4
Kunming 4
Lincoln 4
Lincolnshire 4
Manila 4
Mexico 4
Naples 4
Padova 4
Paris 4
Provo 4
Scranton 4
Tehran 4
Tokyo 4
Trieste 4
Venezia 4
Abano Terme 3
Assisi 3
Bhilai 3
Brescia 3
Catania 3
Catanzaro 3
Centreville 3
Totale 1974
Nome #
La formazione degli insegnanti della classe 42/A – Informatica: l'esperienza dell'Università degli Studi di Milano, file dfa8b993-9b6e-748b-e053-3a05fe0a3a96 905
Fuzzy methods for simplifying a boolean formula inferred from examples, file dfa8b98f-75e6-748b-e053-3a05fe0a3a96 426
Tight Bounds for SVM Classification Error, file dfa8b98e-994d-748b-e053-3a05fe0a3a96 330
Informatica e pensiero computazionale : una proposta costruttivista per gli insegnanti, file dfa8b99b-544b-748b-e053-3a05fe0a3a96 290
How Challenging are Bebras Tasks? : An IRT Analysis Based on the Performance of Italian Students, file dfa8b992-a052-748b-e053-3a05fe0a3a96 289
BICA: a Boolean Independent Component Analysis Algorithm, file dfa8b98e-9946-748b-e053-3a05fe0a3a96 244
Simultaneous Learning of Fuzzy Sets, file dfa8b99f-bf9c-748b-e053-3a05fe0a3a96 196
Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness, file dfa8b99d-7dcd-748b-e053-3a05fe0a3a96 153
Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh, file dfa8b99d-c1fb-748b-e053-3a05fe0a3a96 148
Constructionist Attempts at Supporting the Learning of Computer Programming: A Survey, file dfa8b99e-e134-748b-e053-3a05fe0a3a96 124
Evaluating the impact of topological protein features on the negative examples selection, file dfa8b99f-2c10-748b-e053-3a05fe0a3a96 108
Fostering Computational Thinking in Primary School through a LEGO®-based Music Notation, file dfa8b999-354f-748b-e053-3a05fe0a3a96 104
Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System, file dfa8b9a5-c8fe-748b-e053-3a05fe0a3a96 91
Classifying Candidate Axioms via Dimensionality Reduction Techniques, file dfa8b9a3-3b1e-748b-e053-3a05fe0a3a96 86
Uso di Mathematica per la classificazione di dati di qualità variabile, file dfa8b98f-74e4-748b-e053-3a05fe0a3a96 73
Constructionist Attempts at Supporting the Learning of Computer Programming: A Survey, file dfa8b99f-1ff6-748b-e053-3a05fe0a3a96 47
null, file dfa8b9a7-81a8-748b-e053-3a05fe0a3a96 47
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments, file dfa8b9a4-5aa6-748b-e053-3a05fe0a3a96 45
Factors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease, file dfa8b9a5-79d0-748b-e053-3a05fe0a3a96 40
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments, file dfa8b9a4-47de-748b-e053-3a05fe0a3a96 37
Is coding the way to go?, file dfa8b993-4005-748b-e053-3a05fe0a3a96 14
Multiple retrospective analysis of survival and evaluation of cardiac death predictors in a population of dogs affected by degenerative mitral valve disease in ACVIM class C treated with different therapeutic protocols, file dfa8b9a9-f2fc-748b-e053-3a05fe0a3a96 12
Evaluating the impact of topological protein features on the negative examples selection, file dfa8b99f-2c11-748b-e053-3a05fe0a3a96 11
Informatics education in italian secondary schools, file dfa8b994-3208-748b-e053-3a05fe0a3a96 6
Functional bootstrap: a hardware constrained implementation of on-line bootstrap, file dfa8b9a4-5cea-748b-e053-3a05fe0a3a96 5
null, file dfa8b9a7-b62a-748b-e053-3a05fe0a3a96 5
Informatics education in italian secondary schools, file dfa8b994-b127-748b-e053-3a05fe0a3a96 4
Informatics and Computational Thinking: A Teacher Professional Development Proposal Based on Social-Constructivism, file dfa8b99c-3c60-748b-e053-3a05fe0a3a96 4
A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles, file dfa8b9a8-83d0-748b-e053-3a05fe0a3a96 4
Avoiding the cluster hypothesis in SV Classification of partially labeled data, file dfa8b994-1167-748b-e053-3a05fe0a3a96 3
Selection of negative examples for node label prediction through fuzzy clustering techniques, file dfa8b995-7792-748b-e053-3a05fe0a3a96 3
Bebras as a Teaching Resource, file dfa8b999-44f3-748b-e053-3a05fe0a3a96 3
A multimodal LEGO®-based learning activity mixing musical notation and computer programming, file dfa8b999-7f16-748b-e053-3a05fe0a3a96 3
A Platform for the Italian Bebras, file dfa8b99a-e0bc-748b-e053-3a05fe0a3a96 3
Algomotricità: manipolare i fondamenti dell’informatica, file dfa8b9a3-8cbd-748b-e053-3a05fe0a3a96 3
Learning membership functions for fuzzy sets through modified support vector clustering, file dfa8b994-078b-748b-e053-3a05fe0a3a96 2
A playful tool to introduce lower secondary school pupils to recursive thinking, file dfa8b996-5d99-748b-e053-3a05fe0a3a96 2
Analysis of Informative Features for Negative Selection in Protein Function Prediction, file dfa8b997-daf7-748b-e053-3a05fe0a3a96 2
Bebras as a Teaching Resource, file dfa8b999-4e66-748b-e053-3a05fe0a3a96 2
Nothing to fear but fear itself: introducing recursion in lower secondary schools, file dfa8b999-7667-748b-e053-3a05fe0a3a96 2
Promoting Computational Thinking Skills: Would You Use this Bebras Task?, file dfa8b999-77b1-748b-e053-3a05fe0a3a96 2
How presentation affects the difficulty of computational thinking tasks, file dfa8b999-8c20-748b-e053-3a05fe0a3a96 2
Learning Greedy Strategies at Secondary Schools: An Active Approach, file dfa8b999-b567-748b-e053-3a05fe0a3a96 2
Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression, file dfa8b99c-3cae-748b-e053-3a05fe0a3a96 2
Disease–Genes Must Guide Data Source Integration in the Gene Prioritization Process, file dfa8b99d-6ee7-748b-e053-3a05fe0a3a96 2
Disease–Genes Must Guide Data Source Integration in the Gene Prioritization Process, file dfa8b99d-9c6c-748b-e053-3a05fe0a3a96 2
null, file dfa8b9a7-9923-748b-e053-3a05fe0a3a96 2
Compression strategies and space-conscious representations for deep neural networks, file dfa8b9a8-59e1-748b-e053-3a05fe0a3a96 2
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters, file dfa8b9a9-a494-748b-e053-3a05fe0a3a96 2
Experience of an International Collaborative Project with First Year Programming Students, file dfa8b993-9b6f-748b-e053-3a05fe0a3a96 1
An interpretation of the boundary movement method for imbalanced dataset classification based on data quality, file dfa8b994-0e86-748b-e053-3a05fe0a3a96 1
Learning by gossip: a principled information exchange model in social networks, file dfa8b994-2be5-748b-e053-3a05fe0a3a96 1
Exploring the processing of formatted texts by a kynesthetic approach, file dfa8b994-747f-748b-e053-3a05fe0a3a96 1
Extracurricular activities for improving the perception of informatics in secondary schools, file dfa8b994-8e5b-748b-e053-3a05fe0a3a96 1
What you see is what you have in mind : constructing mental models for formatted text processing, file dfa8b994-ab53-748b-e053-3a05fe0a3a96 1
Learning membership functions for fuzzy sets through modified support vector clustering, file dfa8b994-b134-748b-e053-3a05fe0a3a96 1
Turing : la nascita dell'intelligenza artificiale, file dfa8b997-aa47-748b-e053-3a05fe0a3a96 1
Fostering Computational Thinking in Secondary School through Music : An Educational Experience based on Google Blockly, file dfa8b999-5bad-748b-e053-3a05fe0a3a96 1
Learning to Program in a Constructionist Way, file dfa8b99c-083d-748b-e053-3a05fe0a3a96 1
Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness, file dfa8b99d-c7ab-748b-e053-3a05fe0a3a96 1
Promoting Computational Thinking Skills: Would You Use this Bebras Task?, file dfa8b99f-7c90-748b-e053-3a05fe0a3a96 1
Twisting features with properties, file dfa8b9a4-4bfc-748b-e053-3a05fe0a3a96 1
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks, file dfa8b9a8-7b96-748b-e053-3a05fe0a3a96 1
Totale 3908
Categoria #
all - tutte 4196
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 4196


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2017/2018105 03122 125 108 724310
2018/2019255 9101216 1022 1519 23274547
2019/2020612 31223454 5852 6957 68694949
2020/20211064 707983141 5963 44137 6012372133
2021/20221187 15948115166 11764 8268 577516472
2022/2023103 762700 00 00 0000
Totale 3908