Detection of Facial Features. - Paola Campadelli; Elena Casiraghi; Raffaella Lanzarotti (WIRN, 2002)

A Face Detection System Based on Color and Support Vector Machines. - Elena Casiraghi; Raffaella Lanzarotti; Giuseppe Lipori (WIRN, 2003)

Nodule Detection in Postero Anterior Chest Radiographs. - Paola Campadelli; Elena Casiraghi (MICCAI (2), 2004)

Pruning the Nodule Candidate Set in Postero Anterior Chest Radiographs. - Paola Campadelli; Elena Casiraghi (WIRN, 2004)

Lung Field Segmentation in Digital Postero-Anterior Chest Radiographs. - Paola Campadelli; Elena Casiraghi (ICAPR (2), 2005)

Lung nodules detection and classification. - Paola Campadelli; Elena Casiraghi; Giorgio Valentini (ICIP (1), 2005)

An Automatic Feature Based Face Authentication System, . - Stefano Arca; Paola Campadelli; Elena Casiraghi; Raffaella Lanzarotti (WIRN/NAIS, 2005)

Support vector machines for candidate nodules classification. - Paola Campadelli; Elena Casiraghi; Giorgio Valentini (Neurocomputing, 2005)

A Fully Automated Method for Lung Nodule Detection From Postero-Anterior Chest Radiographs. - Paola Campadelli; Elena Casiraghi; Diana Artioli (IEEE Trans. Medical Imaging, 2006)

Automatic liver segmentation from abdominal CT scans. - Paola Campadelli; Elena Casiraghi; Gabriele Lombardi (ICIAP, 2007)

Automatic Segmentation of Abdominal Organs from CT Scans. - Paola Campadelli; Elena Casiraghi; Stella Pratissoli (ICTAI (1), 2007)

3D alpha -Expansion and Graph Cut Algorithms for Automatic Liver Segmentation from CT Images. - Elena Casiraghi; Gabriele Lombardi; Stella Pratissoli; Simone Rizzi (KES (1), 2007)

Liver Segmentation from CT Scans: A Survey. - Paola Campadelli; Elena Casiraghi (WILF, 2007)

Curvature Estimation and Curve Inference with Tensor Voting: A New Approach. - Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (ACIVS, 2008)

Fully Automatic Segmentation of Abdominal Organs from CT Images Using Fast Marching Methods. - Paola Campadelli; Elena Casiraghi; Stella Pratissoli (CBMS, 2008)

3D Volume Reconstruction and Biometric Analysis of Fetal Brain from MR Images. - Paola Campadelli; Elena Casiraghi; Gabriele Lombardi; Graziano Serrao (CIBB, 2008)

Novel IPCA-Based Classifiers and Their Application to Spam Filtering. - Alessandro Rozza; Gabriele Lombardi; Elena Casiraghi (ISDA, 2009)

Liver segmentation from computed tomography scans: A survey and a new algorithm. - Paola Campadelli; Elena Casiraghi; Andrea Esposito 003 (Artif. Intell. Medicine, 2009)

The Neighbors Voting Algorithm and Its Applications. - Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

A segmentation framework for abdominal organs from CT scans. - Paola Campadelli; Elena Casiraghi; Stella Pratissoli (Artif. Intell. Medicine, 2010)

O-IPCAC and its Application to EEG Classification. - Alessandro Rozza; Gabriele Lombardi; Marco Rosa; Elena Casiraghi (WAPA, 2010)

IDEA: Intrinsic Dimension Estimation Algorithm. - Alessandro Rozza; Gabriele Lombardi; Marco Rosa; Elena Casiraghi; Paola Campadelli (ICIAP (1), 2011)

Minimum Neighbor Distance Estimators of Intrinsic Dimension. - Gabriele Lombardi; Alessandro Rozza; Claudio Ceruti; Elena Casiraghi; Paola Campadelli (ECML/PKDD (2), 2011)

A Novel Approach for Geometric Clustering based on Tensor Voting Framework. - Gabriele Lombardi; Alessandro Rozza; Elena Casiraghi; Paola Campadelli (WIRN, 2011)

Automatic Alignment of Gel 2D Images. - Alessandro Rozza; Stefano Arca; Elena Casiraghi; Paola Campadelli; Massimo Natale; Enrico M. Bucci; Paolo Consoli (WIRN, 2011)

A Novel Ensemble Technique for Protein Subcellular Location Prediction. - Alessandro Rozza; Gabriele Lombardi; Matteo Re; Elena Casiraghi; Giorgio Valentini; Paola Campadelli (Ensembles in Machine Learning Applications, 2011)

A Novel Intrinsic Dimensionality Estimator Based on Rank-Order Statistics. - Simone Bassis; Alessandro Rozza; Claudio Ceruti; Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (CHDD, 2012)

DANCo: Dimensionality from Angle and Norm Concentration - Claudio Ceruti; Simone Bassis; Alessandro Rozza; Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (CoRR, 2012)

Novel high intrinsic dimensionality estimators. - Alessandro Rozza; Gabriele Lombardi; Claudio Ceruti; Elena Casiraghi; Paola Campadelli (Mach. Learn., 2012)

Novel Fisher discriminant classifiers. - Alessandro Rozza; Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (Pattern Recognit., 2012)

Local Intrinsic Dimensionality Based Features for Clustering. - Paola Campadelli; Elena Casiraghi; Claudio Ceruti; Gabriele Lombardi; Alessandro Rozza (ICIAP (1), 2013)

DANCo: An intrinsic dimensionality estimator exploiting angle and norm concentration. - Claudio Ceruti; Simone Bassis; Alessandro Rozza; Gabriele Lombardi; Elena Casiraghi; Paola Campadelli (Pattern Recognit., 2014)

Neighborhood Selection for Dimensionality Reduction. - Paola Campadelli; Elena Casiraghi; Claudio Ceruti (ICIAP (1), 2015)

Linear Regularized Compression of Deep Convolutional Neural Networks. - Claudio Ceruti; Paola Campadelli; Elena Casiraghi (ICIAP (1), 2017)

A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. - Cheick Tidiane Ba; Elena Casiraghi; Marco Frasca 001; Jessica Gliozzo; Giuliano Grossi; Marco Mesiti; Marco Notaro; Paolo Perlasca; Alessandro Petrini; Matteo Re; Giorgio Valentini (CIBB, 2018)

A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections. - Elena Casiraghi; Veronica Huber; Marco Frasca 001; Mara Cossa; Matteo Tozzi; Licia Rivoltini; Biagio Eugenio Leone; Antonello Villa; Barbara Vergani (BMC Bioinform., 2018)

Virtual Assistants for End-User Development in the Internet of Things. - Barbara Rita Barricelli; Elena Casiraghi; Stefano Valtolina (IS-EUD, 2019)

A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications. - Barbara Rita Barricelli; Elena Casiraghi; Daniela Fogli (IEEE Access, 2019)

ki67 nuclei detection and ki67-index estimation: a novel automatic approach based on human vision modeling. - Barbara Rita Barricelli; Elena Casiraghi; Jessica Gliozzo; Veronica Huber; Biagio Eugenio Leone; Alessandro Rizzi; Barbara Vergani (BMC Bioinform., 2019)

UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. - Paolo Perlasca; Marco Frasca 001; Cheick Tidiane Ba; Marco Notaro; Alessandro Petrini; Elena Casiraghi; Giuliano Grossi; Jessica Gliozzo; Giorgio Valentini; Marco Mesiti (BMC Bioinform., 2019)

Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. - Luca Cappelletti; Alessandro Petrini; Jessica Gliozzo; Elena Casiraghi; Max Schubach; Martin Kircher; Giorgio Valentini (IWBBIO, 2020)

Human Digital Twin for Fitness Management. - Barbara Rita Barricelli; Elena Casiraghi; Jessica Gliozzo; Alessandro Petrini; Stefano Valtolina (IEEE Access, 2020)

Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. - Elena Casiraghi; Dario Malchiodi; Gabriella Trucco; Marco Frasca 001; Luca Cappelletti; Tommaso Fontana; Alessandro Andrea Esposito; Emanuele Avola; Alessandro Jachetti; Justin T. Reese; Alessandro Rizzi; Peter N. Robinson; et al. (IEEE Access, 2020)

Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling. - Luca Cappelletti; Tommaso Fontana; Guido Walter Di Donato; Lorenzo Di Tucci; Elena Casiraghi; Giorgio Valentini (Comput., 2020)

A cockpit of multiple measures for assessing film restoration quality. - Barbara Rita Barricelli; Elena Casiraghi; Michela Lecca; Alice Plutino; Alessandro Rizzi (Pattern Recognit. Lett., 2020)

A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables. - Sara Bonfitto; Luca Cappelletti; Elena Casiraghi; Paolo Perlasca; Fabrizio Trovato; Giorgio Valentini; Marco Mesiti (SEBD, 2021)

HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. - Marco Notaro; Marco Frasca 001; Alessandro Petrini; Jessica Gliozzo; Elena Casiraghi; Peter N. Robinson; Giorgio Valentini (Bioinform., 2021)

A diagnostic visible/near infrared tool for a fully automated olive ripeness evaluation in a view of a simplified optical system. - Alessio Tugnolo; Valentina Giovenzana; Roberto Beghi; S. Grassi; C. Alamprese; Andrea Casson; Elena Casiraghi; Riccardo Guidetti (Comput. Electron. Agric., 2021)

Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. - Giorgio Valentini; Elena Casiraghi; Luca Cappelletti; Vida Ravanmehr; Tommaso Fontana; Justin T. Reese; Peter N. Robinson (CoRR, 2021)

GraPE: fast and scalable Graph Processing and Embedding. - 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 (CoRR, 2021)

Scoping review on automatic color equalization algorithm. - Alice Plutino; Barbara Rita Barricelli; Elena Casiraghi; Alessandro Rizzi (J. Electronic Imaging, 2021)

Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. - 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 (J. Imaging, 2021)

15 Years of Stanca Act: Are Italian Public universities websites accessible? - Barbara Rita Barricelli; Elena Casiraghi; Antonina Dattolo; Alessandro Rizzi (Univers. Access Inf. Soc., 2021)

Table understanding approaches for extracting knowledge from heterogeneous tables. - Sara Bonfitto; Elena Casiraghi; Marco Mesiti (WIREs Data Mining Knowl. Discov., 2021)

ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data. - Alessandro Petrini; Marco Notaro; Jessica Gliozzo; Tiziana Castrignanò; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini (AIAI (Workshops), 2022)

Heterogeneous data integration methods for patient similarity networks. - Jessica Gliozzo; Marco Mesiti; Marco Notaro; Alessandro Petrini; Alex Patak; Antonio Puertas Gallardo; Alberto Paccanaro; Giorgio Valentini; Elena Casiraghi (Briefings Bioinform., 2022)

Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. - Luca Cappelletti; Alessandro Petrini; Jessica Gliozzo; Elena Casiraghi; Max Schubach; Martin Kircher; Giorgio Valentini (BMC Bioinform., 2022)

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. - 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; et al. (CoRR, 2022)

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. - 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; et al. (CoRR, 2022)

Patient Similarity Networks Integration for Partial Multimodal Datasets. - Jessica Gliozzo; Alex Patak; Antonio Puertas Gallardo; Elena Casiraghi; Giorgio Valentini (BIOINFORMATICS, 2023)

Intrinsic-Dimension Analysis for Guiding Dimensionality Reduction in Multi-Omics Data. - Valentina Guarino; Jessica Gliozzo; Ferdinando Clarelli; Béatrice Pignolet; Kaalindi Misra; Elisabetta Mascia; Giordano Antonino; Silvia Santoro; Laura Ferré; Miryam Cannizzaro; Melissa Sorosina; Roland Liblau; et al. (BIOINFORMATICS, 2023)

Enhancing Fairness and Accuracy in Machine Learning Through Similarity Networks. - Samira Maghool; Elena Casiraghi; Paolo Ceravolo (CoopIS, 2023)

Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. - Luca Cappelletti; Stefano Taverni; Tommaso Fontana; Marcin P. Joachimiak; Justin T. Reese; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini (IWBBIO (2), 2023)

A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph. - Emanuele Cavalleri; Sara Bonfitto; Alberto Cabri; Jessica Gliozzo; Paolo Perlasca; Mauricio Soto Gomez; Gabriella Trucco; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (IWBBIO (1), 2023)

Towards the Construction of an RNA-centered Knowledge Graph. - Emanuele Cavalleri; Sara Bonfitto; Alberto Cabri; Jessica Gliozzo; Paolo Perlasca; Mauricio Soto Gomez; Gabriella Trucco; Elena Casiraghi; Giorgio Valentini; Marco Mesiti (SEBD, 2023)

An Open-Source Knowledge Graph Ecosystem for the Life Sciences. - 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; et al. (CoRR, 2023)

RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. - 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 (CoRR, 2023)

GRAPE for fast and scalable graph processing and random-walk-based embedding. - 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 (Nat. Comput. Sci., 2023)

Ontologizing health systems data at scale: making translational discovery a reality. - 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; et al. (npj Digit. Medicine, 2023)

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. - 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; et al. (J. Biomed. Informatics, 2023)

An expectation-maximization framework for comprehensive prediction of isoform-specific functions. - Guy Karlebach; Leigh Carmody; Jagadish Chandrabose Sundaramurthi; Elena Casiraghi; Peter Hansen; Justin T. Reese; Christopher J. Mungall; Giorgio Valentini; Peter N. Robinson (Bioinform., 2023)

The promises of large language models for protein design and modeling. - Giorgio Valentini; Dario Malchiodi; Jessica Gliozzo; Marco Mesiti; Mauricio Soto Gomez; Alberto Cabri; Justin T. Reese; Elena Casiraghi; Peter N. Robinson (Frontiers Bioinform., 2023)

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. - Marco Nicolini; Dario Malchiodi; Alberto Cabri; Emanuele Cavalleri; Marco Mesiti; Alberto Paccanaro; Peter N. Robinson; Justin T. Reese; Elena Casiraghi; Giorgio Valentini (BIOSTEC (1), 2024)

Initial achievements in relation extraction from RNA-focused scientific papers. - 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 (SEBD, 2024)

SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. - 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 (VLDB Workshops, 2024)

Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. - 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; et al. (Int. J. Medical Informatics, 2024)

Intrinsic-dimension analysis for guiding dimensionality reduction and data fusion in multi-omics data processing. - Jessica Gliozzo; Mauricio Soto Gomez; Valentina Guarino; Arturo Bonometti; Alberto Cabri; Emanuele Cavalleri; Justin T. Reese; Peter N. Robinson; Marco Mesiti; Giorgio Valentini; Elena Casiraghi (Artif. Intell. Medicine, 2025)