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2020 – today
- 2024
[j12]Antonio Macaluso
, Luca Clissa, Stefano Lodi, Claudio Sartori:
An efficient quantum algorithm for ensemble classification using bagging. IET Quantum Commun. 5(3): 253-268 (2024)- [j11]Filippo Orazi, Simone Gasperini, Stefano Lodi, Claudio Sartori:
Hybrid Quantum Technologies for Quantum Support Vector Machines. Inf. 15(2): 72 (2024) - 2023
- [j10]Antonio Macaluso, Matthias Klusch, Stefano Lodi, Claudio Sartori:
MAQA: a quantum framework for supervised learning. Quantum Inf. Process. 22(3): 159 (2023) - [c39]Matteo Antonio Inajetovic, Filippo Orazi, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Enabling Non-linear Quantum Operations Through Variational Quantum Splines. ICCS (5) 2023: 177-192 - [c38]Domenico Beneventano, Sonia Bergamaschi, Stefano Lodi, Claudio Sartori:
Reasoning with Constraints in Database Models. SEBD 2023: 11-12 - [i8]Matteo Antonio Inajetovic, Filippo Orazi, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Enabling Non-Linear Quantum Operations through Variational Quantum Splines. CoRR abs/2303.04788 (2023) - [i7]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum Splines for Non-Linear Approximations. CoRR abs/2303.05428 (2023) - [i6]Antonio Macaluso, Matthias Klusch, Stefano Lodi, Claudio Sartori:
MAQA: A Quantum Framework for Supervised Learning. CoRR abs/2303.11028 (2023) - 2022
- [c37]Antonio Macaluso, Filippo Orazi, Matthias Klusch, Stefano Lodi, Claudio Sartori:
A Variational Algorithm for Quantum Single Layer Perceptron. LOD (2) 2022: 341-356 - 2021
- [c36]Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing. CIARP 2021: 258-268 - [i5]Paolo Tirotta, Stefano Lodi:
OptAGAN: Entropy-based finetuning on text VAE-GAN. CoRR abs/2109.00239 (2021) - 2020
- [j9]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
Reducing distance computations for distance-based outliers. Expert Syst. Appl. 147: 113215 (2020) - [c35]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum splines for non-linear approximations. CF 2020: 249-252 - [c34]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
A Variational Algorithm for Quantum Neural Networks. ICCS (6) 2020: 591-604 - [c33]Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Quantum Algorithm for Ensemble Learning. ICTCS 2020: 149-154 - [i4]Antonio Macaluso, Luca Clissa, Stefano Lodi, Claudio Sartori:
Quantum Ensemble for Classification. CoRR abs/2007.01028 (2020) - [i3]Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori:
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing. CoRR abs/2007.08799 (2020)
2010 – 2019
- 2018
- [c32]Cesare Bandirali, Stefano Lodi, Gianluca Moro, Andrea Pagliarani, Claudio Sartori:
Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms. AINA Workshops 2018: 396-401 - 2017
- [c31]Josenildo Costa da Silva, Gustavo H. B. S. Oliveira, Stefano Lodi, Matthias Klusch:
Clustering Distributed Short Time Series with Dense Patterns. ICMLA 2017: 34-41 - 2016
- [j8]Emanuele Frandi, Ricardo Ñanculef, Stefano Lodi, Claudio Sartori, Johan A. K. Suykens:
Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee. Mach. Learn. 104(2-3): 195-221 (2016) - [j7]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
GPU Strategies for Distance-Based Outlier Detection. IEEE Trans. Parallel Distributed Syst. 27(11): 3256-3268 (2016) - [c30]Josenildo Costa da Silva, Matthias Klusch, Stefano Lodi:
Privacy-Awareness of Distributed Data Clustering Algorithms Revisited. IDA 2016: 261-272 - 2015
- [i2]Emanuele Frandi, Ricardo Ñanculef, Stefano Lodi, Claudio Sartori, Johan A. K. Suykens:
Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee. CoRR abs/1510.07169 (2015) - 2014
- [c29]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
Accelerating outlier detection with intra- and inter-node parallelism. HPCS 2014: 476-483 - 2013
- [j6]Emanuele Frandi, Ricardo Ñanculef, Maria Grazia Gasparo, Stefano Lodi, Claudio Sartori:
Training Support Vector Machines using Frank-Wolfe Optimization Methods. Int. J. Pattern Recognit. Artif. Intell. 27(3) (2013) - [j5]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
Distributed Strategies for Mining Outliers in Large Data Sets. IEEE Trans. Knowl. Data Eng. 25(7): 1520-1532 (2013) - [c28]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
Fast outlier detection using a GPU. HPCS 2013: 143-150 - 2012
- [i1]Emanuele Frandi, Ricardo Ñanculef, Maria Grazia Gasparo, Stefano Lodi, Claudio Sartori:
Training Support Vector Machines Using Frank-Wolfe Optimization Methods. CoRR abs/1212.0695 (2012) - 2011
- [c27]Ricardo Ñanculef, Héctor Allende, Stefano Lodi, Claudio Sartori:
Two One-Pass Algorithms for Data Stream Classification Using Approximate MEBs. ICANNGA (2) 2011: 363-372 - 2010
- [c26]Stefano Lodi, Gianluca Moro, Claudio Sartori:
Distributed data clustering in multi-dimensional peer-to-peer networks. ADC 2010: 171-178 - [c25]Emanuele Frandi, Maria Grazia Gasparo, Stefano Lodi, Ricardo Ñanculef, Claudio Sartori:
A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls. CIARP 2010: 87-95 - [c24]Fabrizio Angiulli, Stefano Basta, Stefano Lodi, Claudio Sartori:
A Distributed Approach to Detect Outliers in Very Large Data Sets. Euro-Par (1) 2010: 329-340 - [c23]Stefano Lodi, Ricardo Ñanculef, Claudio Sartori:
Single-Pass Distributed Learning of Multi-class SVMs Using Core-Sets. SDM 2010: 257-268 - [c22]Stefano Lodi, Ricardo Ñanculef, Claudio Sartori:
Learning Multi-Class Support Vector Models from Distributed Data using Core-Sets (Extended Abstract). SEBD 2010: 150-157 - [e1]Sonia Bergamaschi, Stefano Lodi, Riccardo Martoglia, Claudio Sartori:
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, SEBD 2010, Rimini, Italy, June 20-23, 2010. Esculapio Editore 2010, ISBN 978-88-7488-369-1 [contents]
2000 – 2009
- 2009
- [c21]Stefano Lodi, Ricardo Ñanculef, Claudio Sartori:
L2-SVM Training with Distributed Data. MATES 2009: 208-213 - 2008
- [c20]Wilma Penzo, Stefano Lodi, Federica Mandreoli, Riccardo Martoglia, Simona Sassatelli:
Semantic peer, here are the neighbors you want! EDBT 2008: 26-37 - [c19]Stefano Lodi, Federica Mandreoli, Riccardo Martoglia, Wilma Penzo, Simona Sassatelli:
Boosting a Network of Semantic Peers. SEBD 2008: 318-325 - 2007
- [c18]Gabriele Monti, Gianluca Moro, Stefano Lodi:
W*-Grid: A Robust Decentralized Cross-layer Infrastructure for Routing and Multi-Dimensional Data Management in Wireless Ad-Hoc Sensor Networks. Peer-to-Peer Computing 2007: 159-166 - 2006
- [j4]Josenildo Costa da Silva, Matthias Klusch, Stefano Lodi, Gianluca Moro:
Privacy-preserving agent-based distributed data clustering. Web Intell. Agent Syst. 4(2): 221-238 (2006) - [c17]Stefano Lodi, Gianluca Moro, Claudio Sartori:
Stream Clustering Based on Kernel Density Estimation. ECAI 2006: 799-800 - [c16]Stefania Bellavia, Stefano Lodi, Benedetta Morini:
Inferences on Kernel Density Estimates by Solving Nonlinear Systems. SSDBM 2006: 389-397 - 2004
- [j3]Stephen Kimani, Stefano Lodi, Tiziana Catarci, Giuseppe Santucci, Claudio Sartori:
VidaMine: a visual data mining environment. J. Vis. Lang. Comput. 15(1): 37-67 (2004) - [c15]Josenildo Costa da Silva, Matthias Klusch, Stefano Lodi, Gianluca Moro:
Inference Attacks in Peer-to-Peer Homogeneous Distributed Data Mining. ECAI 2004: 450-454 - 2003
- [c14]Matthias Klusch, Stefano Lodi, Gianluca Moro:
Agent-Based Distributed Data Mining: The KDEC Scheme. AgentLink 2003: 104-122 - [c13]Matthias Klusch, Stefano Lodi, Gianluca Moro:
Issues of agent-based distributed data mining. AAMAS 2003: 1034-1035 - [c12]Matthias Klusch, Stefano Lodi, Gianluca Moro:
The Role of Agents in Distributed Data Mining: Issues and Benefits. IAT 2003: 211-217 - [c11]Matthias Klusch, Stefano Lodi, Gianluca Moro:
Distributed Clustering Based on Sampling Local Density Estimates. IJCAI 2003: 485-490 - [c10]Stephen Kimani, Stefano Lodi, Tiziana Catarci, Giuseppe Santucci, Claudio Sartori:
Visual Data Mining with VidaMine. SEBD 2003: 301-312 - 2002
- [c9]Stefano Lodi:
Fully Dynamic Clustering of Metric Data Sets. BNCOD 2002: 73-76 - [c8]Gianfranco Cellarosi, Stefano Lodi, Claudio Sartori:
Detecting Outbreaks by Time Series Analysis. CBMS 2002: 159-164
1990 – 1999
- 1999
- [c7]Stefano Lodi, Luisella Reami, Claudio Sartori:
Efficient Shared Near Neighbours Clustering of Large Metric Data Sets. PKDD 1999: 424-429 - 1998
- [j2]Domenico Beneventano, Sonia Bergamaschi, Stefano Lodi, Claudio Sartori:
Consistency Checking in Complex Object Database Schemata with Integrity Constraints. IEEE Trans. Knowl. Data Eng. 10(4): 576-598 (1998) - 1997
- [c6]Domenico Beneventano, Alberto Corni, Stefano Lodi, Maurizio Vincini:
ODB-Tool: Validazione di Schemi e Ottimizzazione Semantica On-line per Basi di Dati Object oriented. SEBD 1997: 208-225 - 1995
- [c5]Domenico Beneventano, Sonia Bergamaschi, Stefano Lodi, Claudio Sartori:
Consistency Checking in Complex Object Database Schemata with Integrity Constraints. DBPL 1995: 4 - 1994
- [j1]Sonia Bergamaschi, Stefano Lodi, Claudio Sartori:
The E/S Knowledge Representation System. Data Knowl. Eng. 14(2): 81-115 (1994) - [c4]Domenico Beneventano, Sonia Bergamaschi, Stefano Lodi, Claudio Sartori:
Terminological Logics for Schema Design and Query Processing in OODBs. KRDB 1994 - [c3]Domenico Beneventano, Sonia Bergamaschi, Stefano Lodi, Claudio Sartori:
Reasoning with Constraints in Database Models. SEBD 1994: 23-38 - 1993
- [c2]Domenico Beneventano, Sonia Bergamaschi, Stefano Lodi, Claudio Sartori:
Uso della Subsumption per l'Ottimizzazione Semantica di Queries. SEBD 1993: 75-89 - 1992
- [c1]Sonia Bergamaschi, Stefano Lodi, Claudio Sartori:
Representational Extensions of DLs. Description Logics 1992: 11-13
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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