Search Results - "Verri, Alessandro"

La figura di T.Pomponio Attico nelle Notti Romane di Alessandro Verri.

Authors: Santini, Carlo

Source: International Journal of the Classical Tradition. Winter2001, Vol. 7 Issue 3, p325. 19p.

Author Index.

Authors: Meijer, Gerrit

Source: Cellular Oncology. 2008, Vol. 30 Issue 2, p195-202. 8p.

Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning.

Authors: Trucco, Andrea Barla, Annalisa Bozzano, Roberto et al.

Source: IEEE Journal of Oceanic Engineering; Oct2022, Vol. 47 Issue 4, p1172-1187, 16p

A Supervised Learning Approach for Rainfall Detection From Underwater Noise Analysis.

Authors: Trucco, Andrea Bozzano, Roberto Fava, Emanuele et al.

Source: IEEE Journal of Oceanic Engineering; Jan2022, Vol. 47 Issue 1, p213-225, 13p

The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach.

Authors: Brichetto, Giampaolo Monti Bragadin, Margherita Fiorini, Samuele et al.

Source: Neurological Sciences. Feb2020, Vol. 41 Issue 2, p459-462. 4p. 1 Chart.

Subjects: Concept learning, Multiple sclerosis, Machine learning, Proof of concept

Computing size functions from edge maps.

Authors: Uras, Claudio Verri, Alessandro

Source: International Journal of Computer Vision; June 1997, Vol. 23 Issue 2, p169-183, 15p

A hybrid unsupervised machine learning model with spectral clustering and semi-supervised support vector machine for credit risk assessment.

Authors: Yu, Tao Huang, Wei Tang, Xin et al.

Source: PLoS ONE. 1/10/2025, Vol. 20 Issue 1, p1-25. 25p.

Building Kernels From Binary Strings for Image Matching.

Authors: Odone, Francesca Barla, Annalisa Verri, Alessandro

Source: IEEE Transactions on Image Processing; February 2005, Vol. 14 Issue 2, p169-180, 12p

Proximal methods for the latent group lasso penalty.

Authors: Villa, Silvia Rosasco, Lorenzo Mosci, Sofia et al.

Source: Computational Optimization & Applications; Jun2014, Vol. 58 Issue 2, p381-407, 27p

Multi-output learning via spectral filtering.

Authors: Baldassarre, Luca Rosasco, Lorenzo Barla, Annalisa et al.

Source: Machine Learning; Jun2012, Vol. 87 Issue 3, p259-301, 43p

Enhancing Interpretability of Gene Signatures with Prior Biological Knowledge.

Authors: Squillario, Margherita Barbieri, Matteo Verri, Alessandro et al.

Source: Microarrays (2076-3905). Jun2016, Vol. 5 Issue 2, p15. 11p.

Nation(s) and Translation in Italian Cultural and Literary History.

Authors: BOUCHARD, NORMA FERME, VALERIO

Source: Annali d'Italianistica; 2020, Vol. 38, p1-17, 17p

Physics informed machine learning for wind speed prediction.

Authors: Lagomarsino-Oneto, Daniele Meanti, Giacomo Pagliana, Nicolò et al.

Source: Energy; Apr2023, Vol. 268, pN.PAG-N.PAG, 1p

2013

Authors: Author Unknown

Resource Type: eBook.

Subjects: Festschriften--Bibliography, Festschriften--Indexes

Categories: REFERENCE / Bibliographies & Indexes, REFERENCE / General

Transplantation Induces Profound Changes in the Transcriptional Asset of Hematopoietic Stem Cells: Identification of Specific Signatures Using Machine Learning Techniques.

Authors: Cilloni, Daniela Petiti, Jessica Campia, Valentina et al.

Source: Journal of Clinical Medicine. Jun2020, Vol. 9 Issue 6, p1670. 1p.

Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm.

Authors: Masecchia, Salvatore Coco, Simona Barla, Annalisa et al.

Source: BMC Medical Genomics. 9/11/2015, Vol. 8 Issue 1, p1-11. 11p.

Linguistic Universals and Language Variation

Authors: Peter Siemund

Resource Type: eBook.

Subjects: Linguistic universals, Language and languages--Variation

Categories: LANGUAGE ARTS & DISCIPLINES / Linguistics / General, LANGUAGE ARTS & DISCIPLINES / Linguistics / Historical & Comparative, LANGUAGE ARTS & DISCIPLINES / Linguistics / Sociolinguistics

Molecular fingerprinting reflects different histotypes and brain region in low grade gliomas.

Authors: Mascelli, Samantha Barla, Annalisa Raso, Alessandro et al.

Source: BMC Cancer. 2013, Vol. 13 Issue 1, p1-15. 15p. 2 Color Photographs, 1 Diagram, 5 Charts, 1 Graph.

Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data.

Authors: Zycinski, Grzegorz Barla, Annalisa Squillario, Margherita et al.

Source: Source Code for Biology & Medicine. 2013, Vol. 8 Issue 1, p1-14. 14p. 5 Diagrams, 2 Charts.

PARAMETER SPACE EXPLORATION WITHIN DYNAMIC SIMULATIONS OF SIGNALING NETWORKS.

Authors: DE AMBROSI, CRISTINA BARLA, ANNALISA TORTOLINA, LORENZO et al.

Source: Mathematical Biosciences & Engineering. Feb2013, Vol. 10 Issue 1, p103-120. 18p.