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Stefano Lodi

Professore associato confermato

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

Macaluso, Antonio; Clissa, Luca; Lodi, Stefano; Sartori, Claudio, An efficient quantum algorithm for ensemble classification using bagging, «IET QUANTUM COMMUNICATION», 2024, -, pp. 1 - 16 [articolo]

Paolo Tirotta; Stefano Lodi, OptAGAN: Entropy-based finetuning on text VAE-GAN, in: 10th International Conference on Natural Language Processing (NLP 2021), Chennai, Tamil Nadu, AIRCC Publishing Corporation, 2021, 11, pp. 31 - 44 (atti di: 10th International Conference on Natural Language Processing (NLP 2021), Sydney, Australia, December 23 - 24, 2021) [Contributo in Atti di convegno]

Ricardo Ñanculef, Francisco Alejandro Mena, Antonio Macaluso, Stefano Lodi, Claudio Sartori, Self-supervised Bernoulli Autoencoders for Semi-supervised Hashing, in: Progress in Pattern Recognition, Image Analysis, Computer Vision,and Applications - 25th Iberoamerican Congress, {CIARP} 2021, Porto,Portugal, May 10-13, 2021, Revised Selected Papers, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2021, 12702, pp. 258 - 268 (atti di: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Porto, Portugal, May 10–13, 2021) [Contributo in Atti di convegno]

Macaluso, Antonio; Clissa, Luca; Lodi, Stefano; Sartori, Claudio, A Variational Algorithm for Quantum Neural Networks, in: Lecture Notes in Computer Science, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2020, 12142, pp. 591 - 604 (atti di: International Conference on Computational Science 2020, Amsterdam, The Netherlands, 3-5 June, 2020) [Contributo in Atti di convegno]

Macaluso A.; Lodi S.; Sartori C., Quantum algorithm for ensemble learning, in: ICTCS 2020 21st Italian Conference on Theoretical Computer Science, CEUR Workshop Proceedings (CEUR-WS.org), «CEUR WORKSHOP PROCEEDINGS», 2020, 2756, pp. 149 - 154 (atti di: ICTCS 2020 21st Italian Conference on Theoretical Computer Science, Ischia, Italy, 14-16 settembre 2020) [Contributo in Atti di convegno]

Macaluso, Antonio; Clissa, Luca; Lodi, Stefano; Sartori, Claudio, Quantum splines for non-linear approximations, in: Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020, pp. 249 - 252 (atti di: 17th ACM International Conference on Computing Frontiers, Catania, 9-11 May 2020) [Contributo in Atti di convegno]Open Access

Angiulli, Fabrizio; Basta, Stefano; Lodi, Stefano; Sartori, Claudio, Reducing distance computations for distance-based outliers, «EXPERT SYSTEMS WITH APPLICATIONS», 2020, 147, Article number: 113215, pp. 1 - 11 [articolo]Open Access

Cesare Bandirali ; Stefano Lodi ; Gianluca Moro ; Andrea Pagliarani ; Claudio Sartori, Parallel Primitives for Vendor-Agnostic Implementation of Big Data Mining Algorithms, in: Proceedings 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops IEEE WAINA 2018, Los Alamitos, CA, IEEE Computer Society, 2018, pp. 396 - 401 (atti di: 32nd IEEE International Conference on Advanced Information Networking and Applications Workshops IEEE WAINA 2018, Krakow, Poland, 16–18 May 2018) [Contributo in Atti di convegno]

Josenildo Costa da Silva, ; Oliveira, Gustavo H. B. S.; Stefano, Lodi; Matthias, Klusch, Clustering Distributed Short Time Series with Dense Patterns, in: Proceedings 16th IEEE International Conference on Machine Learning and Applications ICMLA 2017, IEEE Computer Society, 2017, pp. 34 - 41 (atti di: 16th IEEE International Conference on Machine Learning and Applications ICMLA 2017, Cancun, Mexico, 18–21 December 2017) [Contributo in Atti di convegno]

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, «MACHINE LEARNING», 2016, 104, pp. 195 - 221 [articolo]Open Access

Fabrizio, Angiulli; Stefano, Basta; Stefano, Lodi; Claudio, Sartori, GPU Strategies for Distance-Based Outlier Detection, «IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS», 2016, 27, pp. 3256 - 3268 [articolo]

Da Silva, Josenildo C; Klusch, Matthias; Lodi, Stefano, Privacy-awareness of distributed data clustering algorithms revisited, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Cham, Springer Verlag, 2016, pp. 261 - 272 (LECTURE NOTES IN COMPUTER SCIENCE) [capitolo di libro]

Lodi, Stefano; Angiulli, Fabrizio; Basta, Stefano; Luiselli, Donata; Pagani, Luca; Sartori, Claudio, First Application of a Distance-Based Outlier Approach to Detect Highly Differentiated Genomic Regions Across Human Populations, in: Mathematical Models in Biology - Bringing Mathematics to Life, Cham, Springer International Publishing Switzerland, 2015, pp. 133 - 144 [capitolo di libro]

F. Angiulli;S. Basta;S. Lodi;C. Sartori, Accelerating outlier detection with intra- and inter-node parallelism., in: HPCS, IEEE Computer Society, 2014, pp. 476 - 483 (atti di: High Performance Computing & Simulation (HPCS), 2014 International Conference on, Bologna, Italy, 2014) [Contributo in Atti di convegno]

F. Angiulli; S. Basta; S. Lodi; C. Sartori, Distributed Strategies for Mining Outliers in Large Data Sets, «IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING», 2013, 25, pp. 1520 - 1532 [articolo]

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