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ROBERTO ESPOSITO
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Name
Affiliation
Papers
ROBERTO ESPOSITO
Dipartimento di Informatica, Università di Torino, Torino, Italy
26
Collaborators
Citations
PageRank
25
64
10.87
Referers
Referees
References
115
378
302
Search Limit
100
378
Publications (26 rows)
Collaborators (25 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering
0
0.34
2022
ESA☆: A generic framework for semi-supervised inductive learning
0
0.34
2021
NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks
0
0.34
2021
Constraining deep representations with a noise module for fair classification
1
0.35
2020
Fair pairwise learning to rank
0
0.34
2020
Prediction and interpretation of the lipophilicity of small peptides.
0
0.34
2015
CDoT: Optimizing MAP Queries on Trees.
0
0.34
2013
Tackling the DREAM challenge for gene regulatory networks reverse engineering
0
0.34
2011
OpenCDLig: a free web application for sharing resources about cyclodextrin/ligand complexes.
2
0.63
2009
Empirical Assessment of Two Strategies for Optimizing the Viterbi Algorithm
0
0.34
2009
CarpeDiem: an algorithm for the fast evaluation of SSL classifiers
6
0.47
2007
Tonal Harmony Analysis: A Supervised Sequential Learning Approach
2
0.39
2007
Trip Around the HMPerceptron Algorithm: Empirical Findings and Theoretical Tenets
1
0.36
2007
INCREMENTAL EXTRACTION OF ASSOCIATION RULES IN APPLICATIVE DOMAINS
2
0.38
2007
Answering constraint-based mining queries on itemsets using previous materialized results
3
0.40
2006
A conditional model for tonal analysis
3
0.40
2006
Experimental comparison between bagging and Monte Carlo ensemble classification
3
0.46
2005
Optimization of association rules extraction through exploitation of context dependent constraints
1
0.35
2005
Integrating web conceptual modeling and web usage mining
11
0.61
2004
Employing inductive databases in concrete applications
0
0.34
2004
A Monte Carlo analysis of ensemble classification
5
0.66
2004
Query Rewriting in Itemset Mining
6
0.41
2004
A novel incremental approach to association rules mining in inductive databases
1
0.36
2004
Explaining Bagging with Monte Carlo Theory
1
0.42
2003
Monte Carlo theory as an explanation of bagging and boosting
16
0.85
2003
Is a Greedy Covering Strategy an Extreme Boosting?
0
0.34
2002
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