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ORCIDElena Casiraghi
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2020 – today
- 2024
[j29]Lauren E. Chan
, Elena Casiraghi, Justin T. Reese, Quaker E. Harmon, Kevin Schaper, Harshad Hegde, Giorgio Valentini, Charles Schmitt, Alison A. Motsinger-Reif, Janet E. Hall, Christopher J. Mungall, Peter N. Robinson, Melissa A. Haendel:
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. Int. J. Medical Informatics 187: 105461 (2024)- [c38]Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini:
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. BIOSTEC (1) 2024: 561-568 - [c37]Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Christopher J. Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
Initial achievements in relation extraction from RNA-focused scientific papers. SEBD 2024: 61-69 - [c36]Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Chris Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. VLDB Workshops 2024 - 2023
- [j28]Guy Karlebach, Leigh Carmody, Jagadish Chandrabose Sundaramurthi, Elena Casiraghi, Peter Hansen, Justin T. Reese, Christopher J. Mungall, Giorgio Valentini, Peter N. Robinson:
An expectation-maximization framework for comprehensive prediction of isoform-specific functions. Bioinform. 39(4) (2023) - [j27]Giorgio Valentini, Dario Malchiodi, Jessica Gliozzo, Marco Mesiti, Mauricio Soto Gomez, Alberto Cabri, Justin T. Reese, Elena Casiraghi, Peter N. Robinson:
The promises of large language models for protein design and modeling. Frontiers Bioinform. 3 (2023) - [j26]Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins:
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics 139: 104295 (2023) - [j25]Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Carlos Cano, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini:
GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat. Comput. Sci. 3(6): 552-568 (2023) - [j24]Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023) - [c35]Jessica Gliozzo, Alex Patak, Antonio Puertas Gallardo, Elena Casiraghi, Giorgio Valentini:
Patient Similarity Networks Integration for Partial Multimodal Datasets. BIOINFORMATICS 2023: 228-234 - [c34]Valentina Guarino, Jessica Gliozzo, Ferdinando Clarelli, Béatrice Pignolet, Kaalindi Misra, Elisabetta Mascia, Giordano Antonino, Silvia Santoro, Laura Ferré, Miryam Cannizzaro, Melissa Sorosina, Roland Liblau, Massimo Filippi, Ettore Mosca, Federica Esposito, Giorgio Valentini, Elena Casiraghi:
Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data. BIOINFORMATICS 2023: 243-251 - [c33]Samira Maghool, Elena Casiraghi, Paolo Ceravolo:
Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks. CoopIS 2023: 3-20 - [c32]Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph. IWBBIO (1) 2023: 165-180 - [c31]Luca Cappelletti, Stefano Taverni, Tommaso Fontana, Marcin P. Joachimiak, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini:
Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. IWBBIO (2) 2023: 372-383 - [c30]Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
Towards the Construction of an RNA-centered Knowledge Graph. SEBD 2023: 173-180 - [i7]Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter:
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR abs/2307.05727 (2023) - [i6]Emanuele Cavalleri, Alberto Cabri, Mauricio Soto Gomez, Sara Bonfitto, Paolo Perlasca, Jessica Gliozzo, Tiffany J. Callahan, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. CoRR abs/2312.00183 (2023) - 2022
- [j23]Jessica Gliozzo, Marco Mesiti, Marco Notaro, Alessandro Petrini, Alex Patak, Antonio Puertas Gallardo, Alberto Paccanaro, Giorgio Valentini, Elena Casiraghi:
Heterogeneous data integration methods for patient similarity networks. Briefings Bioinform. 23(4) (2022) - [j22]Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini:
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinform. 23-S(2): 154 (2022) - [c29]Alessandro Petrini, Marco Notaro, Jessica Gliozzo, Tiziana Castrignanò, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini:
ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data. AIAI Workshops 2022: 424-435 - [i5]Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins:
Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. CoRR abs/2206.06444 (2022) - [i4]Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner Jr., Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Melissa A. Haendel, Asiyah Y. Lin, Blake Martin, Nicolas Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn:
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR abs/2209.04732 (2022) - 2021
- [j21]Marco Notaro, Marco Frasca, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Peter N. Robinson, Giorgio Valentini:
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. Bioinform. 37(23): 4526-4533 (2021) - [j20]Alessio Tugnolo, Valentina Giovenzana, Roberto Beghi, S. Grassi, C. Alamprese, Andrea Casson, Elena Casiraghi, Riccardo Guidetti:
A diagnostic visible/near infrared tool for a fully automated olive ripeness evaluation in a view of a simplified optical system. Comput. Electron. Agric. 180: 105887 (2021) - [j19]Alice Plutino, Barbara Rita Barricelli, Elena Casiraghi, Alessandro Rizzi:
Scoping review on automatic color equalization algorithm. J. Electronic Imaging 30(2): 020901 (2021) - [j18]Alice Scarabelli, Massimo Zilocchi, Elena Casiraghi, Pierangelo Fasani, Guido Giovanni Plensich, Alessandro Andrea Esposito, Elvira Stellato, Alessandro Petrini, Justin T. Reese, Peter N. Robinson, Giorgio Valentini, Gianpaolo Carrafiello:
Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. J. Imaging 7(12): 258 (2021) - [j17]Barbara Rita Barricelli, Elena Casiraghi, Antonina Dattolo, Alessandro Rizzi:
15 Years of Stanca Act: Are Italian Public universities websites accessible? Univers. Access Inf. Soc. 20(1): 185-200 (2021) - [j16]Sara Bonfitto, Elena Casiraghi, Marco Mesiti:
Table understanding approaches for extracting knowledge from heterogeneous tables. WIREs Data Mining Knowl. Discov. 11(4) (2021) - [c28]Sara Bonfitto, Luca Cappelletti, Elena Casiraghi, Paolo Perlasca, Fabrizio Trovato, Giorgio Valentini, Marco Mesiti:
A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables. SEBD 2021: 116-127 - [i3]Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson:
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. CoRR abs/2101.01425 (2021) - [i2]Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini:
GraPE: fast and scalable Graph Processing and Embedding. CoRR abs/2110.06196 (2021) - 2020
- [j15]Barbara Rita Barricelli, Elena Casiraghi, Jessica Gliozzo, Alessandro Petrini, Stefano Valtolina:
Human Digital Twin for Fitness Management. IEEE Access 8: 26637-26664 (2020) - [j14]Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti, Tommaso Fontana, Alessandro Andrea Esposito, Emanuele Avola, Alessandro Jachetti, Justin T. Reese, Alessandro Rizzi, Peter N. Robinson, Giorgio Valentini:
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 8: 196299-196325 (2020) - [j13]Luca Cappelletti, Tommaso Fontana, Guido Walter Di Donato, Lorenzo Di Tucci, Elena Casiraghi, Giorgio Valentini:
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling. Comput. 9(2): 37 (2020) - [j12]Barbara Rita Barricelli, Elena Casiraghi, Michela Lecca, Alice Plutino, Alessandro Rizzi:
A cockpit of multiple measures for assessing film restoration quality. Pattern Recognit. Lett. 131: 178-184 (2020) - [c27]Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini:
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. IWBBIO 2020: 600-612
2010 – 2019
- 2019
- [j11]Barbara Rita Barricelli, Elena Casiraghi, Daniela Fogli:
A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications. IEEE Access 7: 167653-167671 (2019) - [j10]Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Marco Notaro, Alessandro Petrini, Elena Casiraghi, Giuliano Grossi, Jessica Gliozzo, Giorgio Valentini, Marco Mesiti:
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. BMC Bioinform. 20(1): 422:1-422:19 (2019) - [j9]Barbara Rita Barricelli, Elena Casiraghi, Jessica Gliozzo, Veronica Huber, Biagio Eugenio Leone, Alessandro Rizzi, Barbara Vergani:
ki67 nuclei detection and ki67-index estimation: a novel automatic approach based on human vision modeling. BMC Bioinform. 20(1): 733 (2019) - [c26]Barbara Rita Barricelli, Elena Casiraghi, Stefano Valtolina:
Virtual Assistants for End-User Development in the Internet of Things. IS-EUD 2019: 209-216 - 2018
- [j8]Elena Casiraghi, Veronica Huber, Marco Frasca, Mara Cossa, Matteo Tozzi, Licia Rivoltini, Biagio Eugenio Leone, Antonello Villa, Barbara Vergani:
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections. BMC Bioinform. 19-S(10): 281-297 (2018) - [c25]Cheick Tidiane Ba, Elena Casiraghi, Marco Frasca, Jessica Gliozzo, Giuliano Grossi, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Matteo Re, Giorgio Valentini:
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. CIBB 2018: 88-98 - 2017
- [c24]Claudio Ceruti, Paola Campadelli, Elena Casiraghi:
Linear Regularized Compression of Deep Convolutional Neural Networks. ICIAP (1) 2017: 244-253 - 2015
- [c23]Paola Campadelli, Elena Casiraghi, Claudio Ceruti:
Neighborhood Selection for Dimensionality Reduction. ICIAP (1) 2015: 183-191 - 2014
- [j7]Claudio Ceruti, Simone Bassis, Alessandro Rozza, Gabriele Lombardi, Elena Casiraghi, Paola Campadelli:
DANCo: An intrinsic dimensionality estimator exploiting angle and norm concentration. Pattern Recognit. 47(8): 2569-2581 (2014) - 2013
- [c22]Paola Campadelli, Elena Casiraghi, Claudio Ceruti, Gabriele Lombardi, Alessandro Rozza:
Local Intrinsic Dimensionality Based Features for Clustering. ICIAP (1) 2013: 41-50 - 2012
- [j6]Alessandro Rozza, Gabriele Lombardi, Claudio Ceruti, Elena Casiraghi, Paola Campadelli:
Novel high intrinsic dimensionality estimators. Mach. Learn. 89(1-2): 37-65 (2012) - [j5]Alessandro Rozza, Gabriele Lombardi, Elena Casiraghi, Paola Campadelli:
Novel Fisher discriminant classifiers. Pattern Recognit. 45(10): 3725-3737 (2012) - [c21]Simone Bassis, Alessandro Rozza, Claudio Ceruti, Gabriele Lombardi, Elena Casiraghi, Paola Campadelli:
A Novel Intrinsic Dimensionality Estimator Based on Rank-Order Statistics. CHDD 2012: 102-117 - [i1]Claudio Ceruti, Simone Bassis, Alessandro Rozza, Gabriele Lombardi, Elena Casiraghi, Paola Campadelli:
DANCo: Dimensionality from Angle and Norm Concentration. CoRR abs/1206.3881 (2012) - 2011
- [c20]Alessandro Rozza, Gabriele Lombardi, Marco Rosa, Elena Casiraghi, Paola Campadelli:
IDEA: Intrinsic Dimension Estimation Algorithm. ICIAP (1) 2011: 433-442 - [c19]Gabriele Lombardi, Alessandro Rozza, Claudio Ceruti, Elena Casiraghi, Paola Campadelli:
Minimum Neighbor Distance Estimators of Intrinsic Dimension. ECML/PKDD (2) 2011: 374-389 - [c18]Alessandro Rozza, Stefano Arca, Elena Casiraghi, Paola Campadelli, Massimo Natale, Enrico M. Bucci, Paolo Consoli:
Automatic Alignment of Gel 2D Images. WIRN 2011: 3-10 - [c17]Gabriele Lombardi, Alessandro Rozza, Elena Casiraghi, Paola Campadelli:
A Novel Approach for Geometric Clustering based on Tensor Voting Framework. WIRN 2011: 129-138 - [p2]Alessandro Rozza, Gabriele Lombardi, Matteo Re, Elena Casiraghi, Giorgio Valentini, Paola Campadelli:
A Novel Ensemble Technique for Protein Subcellular Location Prediction. Ensembles in Machine Learning Applications 2011: 151-167 - 2010
- [j4]Paola Campadelli, Elena Casiraghi, Stella Pratissoli:
A segmentation framework for abdominal organs from CT scans. Artif. Intell. Medicine 50(1): 3-11 (2010) - [c16]Alessandro Rozza, Gabriele Lombardi, Marco Rosa, Elena Casiraghi:
O-IPCAC and its Application to EEG Classification. WAPA 2010: 4-11
2000 – 2009
- 2009
- [j3]Paola Campadelli, Elena Casiraghi, Andrea Esposito:
Liver segmentation from computed tomography scans: A survey and a new algorithm. Artif. Intell. Medicine 45(2-3): 185-196 (2009) - [c15]Alessandro Rozza, Gabriele Lombardi, Elena Casiraghi:
Novel IPCA-Based Classifiers and Their Application to Spam Filtering. ISDA 2009: 797-802 - [p1]Gabriele Lombardi, Elena Casiraghi, Paola Campadelli:
The Neighbors Voting Algorithm and Its Applications. Applications of Supervised and Unsupervised Ensemble Methods 2009: 151-173 - 2008
- [c14]Gabriele Lombardi, Elena Casiraghi, Paola Campadelli:
Curvature Estimation and Curve Inference with Tensor Voting: A New Approach. ACIVS 2008: 613-624 - [c13]Paola Campadelli, Elena Casiraghi, Stella Pratissoli:
Fully Automatic Segmentation of Abdominal Organs from CT Images Using Fast Marching Methods. CBMS 2008: 554-559 - [c12]Paola Campadelli, Elena Casiraghi, Gabriele Lombardi, Graziano Serrao:
3D Volume Reconstruction and Biometric Analysis of Fetal Brain from MR Images. CIBB 2008: 188-197 - 2007
- [c11]Paola Campadelli, Elena Casiraghi, Gabriele Lombardi:
Automatic liver segmentation from abdominal CT scans. ICIAP 2007: 731-736 - [c10]Paola Campadelli, Elena Casiraghi, Stella Pratissoli:
Automatic Segmentation of Abdominal Organs from CT Scans. ICTAI (1) 2007: 513-516 - [c9]Elena Casiraghi, Gabriele Lombardi, Stella Pratissoli, Simone Rizzi:
3D alpha -Expansion and Graph Cut Algorithms for Automatic Liver Segmentation from CT Images. KES (1) 2007: 421-428 - [c8]Paola Campadelli, Elena Casiraghi:
Liver Segmentation from CT Scans: A Survey. WILF 2007: 520-528 - 2006
- [j2]Paola Campadelli, Elena Casiraghi, Diana Artioli:
A Fully Automated Method for Lung Nodule Detection From Postero-Anterior Chest Radiographs. IEEE Trans. Medical Imaging 25(12): 1588-1603 (2006) - 2005
- [j1]Paola Campadelli, Elena Casiraghi, Giorgio Valentini:
Support vector machines for candidate nodules classification. Neurocomputing 68: 281-288 (2005) - [c7]Paola Campadelli, Elena Casiraghi:
Lung Field Segmentation in Digital Postero-Anterior Chest Radiographs. ICAPR (2) 2005: 736-745 - [c6]Paola Campadelli, Elena Casiraghi, Giorgio Valentini:
Lung nodules detection and classification. ICIP (1) 2005: 1117-1120 - [c5]Stefano Arca, Paola Campadelli, Elena Casiraghi, Raffaella Lanzarotti:
An Automatic Feature Based Face Authentication System, . WIRN/NAIS 2005: 120-126 - 2004
- [c4]Paola Campadelli, Elena Casiraghi:
Nodule Detection in Postero Anterior Chest Radiographs. MICCAI (2) 2004: 1048-1049 - [c3]Paola Campadelli, Elena Casiraghi:
Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs. WIRN 2004: 37-43 - 2003
- [c2]Elena Casiraghi, Raffaella Lanzarotti, Giuseppe Lipori:
A Face Detection System Based on Color and Support Vector Machines. WIRN 2003: 113-120 - 2002
- [c1]Paola Campadelli, Elena Casiraghi, Raffaella Lanzarotti:
Detection of Facial Features. WIRN 2002: 124-131
Coauthor Index
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