Elena Casiraghi

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 43

Top Topics

Machine Learning

Convolutional Neural Networks

Scientific Papers

Intrinsic Dimensionality

Top Venues

Publications

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 (2024)
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)
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)
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)
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)
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) (2023)
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)
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 (2023)
Jessica Gliozzo, Alex Patak, Antonio Puertas Gallardo, Elena Casiraghi, Giorgio Valentini
Patient Similarity Networks Integration for Partial Multimodal Datasets. BIOINFORMATICS (2023)
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)
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 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 (2023)
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)
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)
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)
Samira Maghool, Elena Casiraghi, Paolo Ceravolo
Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks. CoopIS (2023)
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 (2023)
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 Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR (2022)
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)
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 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 (2022)
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. (2) (2022)
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)
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) (2021)
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 (2021)
Sara Bonfitto, Elena Casiraghi, Marco Mesiti
Table understanding approaches for extracting knowledge from heterogeneous tables. WIREs Data Mining Knowl. Discov. 11 (4) (2021)
Alice Plutino, Barbara Rita Barricelli, Elena Casiraghi, Alessandro Rizzi
Scoping review on automatic color equalization algorithm. J. Electronic Imaging 30 (2) (2021)
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) (2021)
Alice Scarabelli, Massimo Zilocchi, Elena Casiraghi, Pierangelo Fasani, Guido Giovanni Plensich, Alessandro Andrea Esposito, Elvira Stellato, Alessandro Petrini, Justin 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) (2021)
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)
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 (2021)
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 (2021)
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)
Barbara Rita Barricelli, Elena Casiraghi, Jessica Gliozzo, Alessandro Petrini, Stefano Valtolina
Human Digital Twin for Fitness Management. IEEE Access 8 (2020)
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) (2020)
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 (2020)
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 (2020)
Barbara Rita Barricelli, Elena Casiraghi, Daniela Fogli
A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications. IEEE Access 7 (2019)
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) (2019)
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) (2019)
Barbara Rita Barricelli, Elena Casiraghi, Stefano Valtolina
Virtual Assistants for End-User Development in the Internet of Things. IS-EUD (2019)
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. (10) (2018)
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)
Claudio Ceruti, Paola Campadelli, Elena Casiraghi
Linear Regularized Compression of Deep Convolutional Neural Networks. ICIAP (1) (2017)
Paola Campadelli, Elena Casiraghi, Claudio Ceruti
Neighborhood Selection for Dimensionality Reduction. ICIAP (1) (2015)
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) (2014)
Paola Campadelli, Elena Casiraghi, Claudio Ceruti, Gabriele Lombardi, Alessandro Rozza
Local Intrinsic Dimensionality Based Features for Clustering. ICIAP (1) (2013)
Alessandro Rozza, Gabriele Lombardi, Elena Casiraghi, Paola Campadelli
Novel Fisher discriminant classifiers. Pattern Recognit. 45 (10) (2012)
Alessandro Rozza, Gabriele Lombardi, Claudio Ceruti, Elena Casiraghi, Paola Campadelli
Novel high intrinsic dimensionality estimators. Mach. Learn. 89 (1-2) (2012)
Simone Bassis, Alessandro Rozza, Claudio Ceruti, Gabriele Lombardi, Elena Casiraghi, Paola Campadelli
A Novel Intrinsic Dimensionality Estimator Based on Rank-Order Statistics. CHDD (2012)
Claudio Ceruti, Simone Bassis, Alessandro Rozza, Gabriele Lombardi, Elena Casiraghi, Paola Campadelli
DANCo: Dimensionality from Angle and Norm Concentration CoRR (2012)
Gabriele Lombardi, Alessandro Rozza, Elena Casiraghi, Paola Campadelli
A Novel Approach for Geometric Clustering based on Tensor Voting Framework. WIRN (2011)
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, Elena Casiraghi, Paola Campadelli
IDEA: Intrinsic Dimension Estimation Algorithm. ICIAP (1) (2011)
Alessandro Rozza, Stefano Arca, Elena Casiraghi, Paola Campadelli, Massimo Natale, Enrico M. Bucci, Paolo Consoli
Automatic Alignment of Gel 2D Images. WIRN (2011)
Gabriele Lombardi, Alessandro Rozza, Claudio Ceruti, Elena Casiraghi, Paola Campadelli
Minimum Neighbor Distance Estimators of Intrinsic Dimension. ECML/PKDD (2) (2011)
Alessandro Rozza, Gabriele Lombardi, Marco Rosa, Elena Casiraghi
O-IPCAC and its Application to EEG Classification. WAPA (2010)
Paola Campadelli, Elena Casiraghi, Stella Pratissoli
A segmentation framework for abdominal organs from CT scans. Artif. Intell. Medicine 50 (1) (2010)
Paola Campadelli, Elena Casiraghi, Andrea Esposito
Liver segmentation from computed tomography scans: A survey and a new algorithm. Artif. Intell. Medicine 45 (2-3) (2009)
Alessandro Rozza, Gabriele Lombardi, Elena Casiraghi
Novel IPCA-Based Classifiers and Their Application to Spam Filtering. ISDA (2009)
Paola Campadelli, Elena Casiraghi, Gabriele Lombardi, Graziano Serrao
3D Volume Reconstruction and Biometric Analysis of Fetal Brain from MR Images. CIBB (2008)
Gabriele Lombardi, Elena Casiraghi, Paola Campadelli
Curvature Estimation and Curve Inference with Tensor Voting: A New Approach. ACIVS (2008)
Paola Campadelli, Elena Casiraghi, Stella Pratissoli
Fully Automatic Segmentation of Abdominal Organs from CT Images Using Fast Marching Methods. CBMS (2008)
Elena Casiraghi, Gabriele Lombardi, Stella Pratissoli, Simone Rizzi
-Expansion and Graph Cut Algorithms for Automatic Liver Segmentation from CT Images. KES (1) (2007)
Paola Campadelli, Elena Casiraghi
Liver Segmentation from CT Scans: A Survey. WILF (2007)
Paola Campadelli, Elena Casiraghi, Stella Pratissoli
Automatic Segmentation of Abdominal Organs from CT Scans. ICTAI (1) (2007)
Paola Campadelli, Elena Casiraghi, Gabriele Lombardi
Automatic liver segmentation from abdominal CT scans. ICIAP (2007)
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) (2006)
Stefano Arca, Paola Campadelli, Elena Casiraghi, Raffaella Lanzarotti
An Automatic Feature Based Face Authentication System, . WIRN/NAIS (2005)
Paola Campadelli, Elena Casiraghi, Giorgio Valentini
Lung nodules detection and classification. ICIP (1) (2005)
Paola Campadelli, Elena Casiraghi, Giorgio Valentini
Support vector machines for candidate nodules classification. Neurocomputing 68 (2005)
Paola Campadelli, Elena Casiraghi
Lung Field Segmentation in Digital Postero-Anterior Chest Radiographs. ICAPR (2) (2005)
Paola Campadelli, Elena Casiraghi
Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs. WIRN (2004)
Paola Campadelli, Elena Casiraghi
Nodule Detection in Postero Anterior Chest Radiographs. MICCAI (2) (2004)
Elena Casiraghi, Raffaella Lanzarotti, Giuseppe Lipori
A Face Detection System Based on Color and Support Vector Machines. WIRN (2003)
Paola Campadelli, Elena Casiraghi, Raffaella Lanzarotti
Detection of Facial Features. WIRN (2002)