| Nome |
# |
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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 |