Pubblicazioni di Palagi Laura

2024

Calamita Alice, Ljubić Ivana, Palagi Laura

Benders decomposition for congested partial set covering location with uncertain demand. 2024: -

Bomze Immanuel, D'Onofrio Federico, Palagi Laura, Peng Bo

Feature selection in linear SVMs via hard cardinality constraint: a scalable SDP decomposition approach. 2024: -

2023

Avella Pasquale, Calamita Alice, Palagi Laura

A compact formulation for the base station deployment problem in wireless networks. NETWORKS 2023: -

DI TEODORO Giulia, Siciliano Federico, Guarrasi Valerio, Vandamme Anne-Mieke, Ghisetti Valeria, Sönnerborg Anders, Zazzi Maurizio, Silvestri Fabrizio, Palagi Laura

A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. 2023: -

Raparelli Valeria, Romiti Giulio Francesco, Di Teodoro Giulia, Seccia Ruggiero, Tanzilli Gaetano, Viceconte Nicola, Marrapodi Ramona, Flego Davide, Corica Bernadette, Cangemi Roberto, Pilote Louise, Basili Stefania, Proietti Marco, Palagi Laura, Stefanini Lucia

A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease. CLINICAL RESEARCH IN CARDIOLOGY 2023: -

Baldisseri Federico, Wrona Andrea, Menegatti Danilo, Pietrabissa Antonio, Battilotti Stefano, Califano Claudia, Cristofaro Andrea, Di Giamberardino Paolo, Facchinei Francisco, Palagi Laura, Giuseppi Alessandro, Delli Priscoli Francesco

Deep Neural Network Regression to Assist Non-Invasive Diagnosis of Portal Hypertension. HEALTHCARE 2023: -

DI TEODORO Giulia, Pirkl Martin, Incardona Francesca, Vicenti Ilaria, Sönnerborg Anders, Kaiser Rolf, Palagi Laura, Zazzi Maurizio, Lengauer Thomas

Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1. 2023: -

Avella Pasquale, Calamita Alice, Palagi Laura

Off-the-shelf solvers for mixed-integer conic programming: insights from a computational study on congested capacitated facility location instances. 2023: -

D'Onofrio Federico, Monaci Marta, Palagi Laura

Optimization-based approaches for learning Optimal Classification Trees. IFORS News 2023: 5-7

Santilli Valter, Mangone Massimiliano, Diko Anxhelo, Alviti Federica, Bernetti Andrea, Agostini Francesco, Palagi Laura, Servidio Marila, Paoloni Marco, Goffredo Michela, Infarinato Francesco, Pournajaf Sanaz, Franceschini Marco, Fini Massimo, Damiani Carlo

The use of machine learning for inferencing the effectiveness of a rehabilitation program for orthopedic and neurological patients. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023: 1-16

Di Teodoro Giulia, Monaci Marta, Palagi Laura

Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree. 2023: -

2022

D'Onofrio Federico, Grani Giorgio, Monaci Marta, Palagi Laura

Margin Optimal Classification Trees. 2022: -

Croella Anna Livia, Tronci Edoardo Maria, Petitti Federico, Nastasi Alberto, Palagi Laura, Romano Ferdinando

Multi-criteria optimization scheduling of surgical units: a case study at AOU-Policlinico Umberto I. 2022: -

Lamedica Regina, Ruvio Alessandro, Tanzi Enrico, Palagi Laura

O.Si.Si: Optimal SIzing and SIting of stationary storage systems in railway electrical lines using a blackbox integer model. JOURNAL OF ENERGY STORAGE 2022: 1-12

Avella Pasquale, Calamita Alice, Palagi Laura

Speeding up the solution of the site and power assignment problem in wireless networks. 2022: -

2021

Raparelli V, Proietti M, Romiti G. F., Seccia R, Di Teodoro G., Tanzilli G, Marrapodi R, Flego D, Corica B, Cangemi R, Palagi L, Basili S, Stefanini L, Group Eva

A machine-learning-based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease. EUROPEAN HEART JOURNAL 2021: -

Bernabei Giuseppe, Costantino Francesco, Palagi Laura, Patriarca Riccardo, Romito Francesco

An integer black-box optimization model for repairable spare parts management. INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT 2021: -

Coppola Corrado, Grani Giorgio, Monaci Marta, Palagi Laura

Heuristics for the Traveling Salesperson Problem based on Reinforcement Learning. 2021: -

Seccia Ruggiero, Romano Silvia, Salvetti Marco, Crisanti Andrea, Palagi Laura, Grassi Francesca

Machine Learning use for prognostic purposes in Multiple Sclerosis. LIFE 2021: -

Petti M., Farina L., Francone F., Lucidi S., Macali Amalia, Palagi L., De Santis M.

Moses: A new approach to integrate interactome topology and functional features for disease gene prediction. GENES 2021: 1-16

Palagi Laura, Seccia Ruggiero

On the convergence of a Block-Coordinate Incremental Gradient method. SOFT COMPUTING 2021: 1-12

Colombo T., Mangone M., Agostini F., Bernetti A., Paoloni M., Santilli V., Palagi L.

Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis. PLOS ONE 2021: 1-24

2020

Palagi L., Seccia R.

Block layer decomposition schemes for training deep neural networks. JOURNAL OF GLOBAL OPTIMIZATION 2020: 97-124

De Santis M., Grani G., Palagi L.

Branching with hyperplanes in the criterion space: The frontier partitioner algorithm for biobjective integer programming. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2020: 57-69

Seccia R., Gammelli D., Dominici F., Romano S., Landi A. C., Salvetti M., Tacchella A., Zaccaria A., Crisanti A., Grassi F., Palagi L.

Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis. PLOS ONE 2020: -

Seccia Ruggiero, Boresta Marco, Fusco Federico, Tronci Edoardo, Di Gemma Emanuele, Palagi Laura, Mangone Massimiliano, Agostini Francesco, Bernetti Andrea, Santilli Valter, Damiani Carlo, Goffredo Michela, Franceschini Marco

Data of patients undergoing rehabilitation programs. DATA IN BRIEF 2020: -

Lamedica R., Ruvio A., Palagi L., Mortelliti N.

Optimal siting and sizing of wayside energy storage systems in a D.C. railway line. ENERGIES 2020: 1-22

2019

Palagi Laura, Sciubba Enrico, Tocci Lorenzo

A neural network approach to the combined multi-objective optimization of the thermodynamic cycle and the radial inflow turbine for Organic Rankine cycle applications. APPLIED ENERGY 2019: 210-226

Manno Andrea, Sagratella Simone, Palagi Laura

Case Article—Production and Distribution Optimization of Beach Equipment for the Marinero Company. TRANSACTIONS ON EDUCATION 2019: 152-154

Palagi Laura

Global optimization issues in deep network regression: an overview. JOURNAL OF GLOBAL OPTIMIZATION 2019: 239-277

Palagi Laura, Pesyridis Apostolos, Sciubba Enrico, Tocci Lorenzo

Machine Learning for the prediction of the dynamic behavior of a small scale ORC system. ENERGY 2019: 72-82

Colamarino Emma, Colombo Tommaso, Pichiorri Floriana, Mattia Donatella, Palagi Laura, Cincotti Febo

SWLDA offers a valuable trade-off between interpretability and accuracy for rehabilitative BCIs. Proceedings of the 8th Graz Brain-Computer Interface Conference 2019 - Bridging Science and Application 2019: 285-290

2018

Lamedica Regina, Santini Ezio, Ruvio Alessandro, Palagi Laura, Rossetta Irene

A MILP methodology to optimize sizing of PV - Wind renewable energy systems. ENERGY 2018: 385-398

2017

Grani Giorgio, Leo Gianmaria, Palagi Laura, Piacentini Mauro, Toyoglu Hunkar

A heuristic method to solve the Sales Based Integer Program for Airlines Network Revenue Management. 2017: 1-60

Chianese Y. M., Avenali A., Gambuti R., Palagi L.

One-Way Free Floating Car-Sharing: Applying Vehicle-Generated Data to Assess the Market Demand Potential of Urban Zones. 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC 2017) 2017: 777-782

2016

Capasso Alfonso, Cervone A., Lamedica Regina, Palagi Laura

A LP and MILP methodology to support the planning of transmission power systems. ELECTRIC POWER SYSTEMS RESEARCH 2016: 699-707

2015

Buchheim Christoph, DE SANTIS Marianna, Palagi Laura

A fast branch-and-bound algorithm for non-convex quadratic integer optimization subject to linear constraints using ellipsoidal relaxations. OPERATIONS RESEARCH LETTERS 2015: 384-388

Capasso Alfonso, Cervone A, Lamedica Regina, Palagi Laura

A new deterministic approach for transmission system planning in deregulated electricity markets. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2015: 1070-1078

Dellepiane Umberto, Palagi Laura

Using SVM to combine global heuristics for the Standard Quadratic Problem. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2015: 596-605

2014

Massimiliano Barletta, GISARIO ANNAMARIA, PALAGI Laura, Luigi Silvestri

Modelling the Electrostatic Fluidised Bed (EFB) coating process using Support Vector Machines (SVMs). POWDER TECHNOLOGY 2014: 85-93

2013

C. Buchheim, DE SANTIS Marianna, Palagi Laura, Piacentini Mauro

An exact algorithm for nonconvex quadratic integer minimization using ellipsoidal relaxations. SIAM JOURNAL ON OPTIMIZATION 2013: 1867-1889

2012

Lucidi Stefano, Palagi Laura, A. Risi, M. Sciandrone

A convergent hybrid decomposition algorithm model using second order information for SVM training. Recent Advances in Nonlinear Optimization and Equilibrium Problems: A Tribute to Marco D'Apuzzo 2012: 295-312

Palagi Laura, Piccialli Veronica, Franz Rendl, Giovanni Rinaldi, Angelika Wiegele

Computational Approaches to Max-Cut. Handbook on Semidefinite, Conic and Polynomial Optimization 2012: 821-847

Grippo Luigi, Piacentini Mauro, Palagi Laura, Piccialli Veronica, Giovanni Rinaldi

SpeeDP: an algorithm to compute SDP bounds for very large Max-Cut instances. MATHEMATICAL PROGRAMMING 2012: 353-373

Immanuel M. Bomze, GRIPPO Luigi, PALAGI Laura

Unconstrained formulation of standard quadratic optimization problems. TOP 2012: 35-51

2011

Grippo Luigi, Palagi Laura, Piccialli Veronica

An unconstrained minimization method for solving low-rank SDP relaxations of the maxcut problem. MATHEMATICAL PROGRAMMING 2011: 119-146

Liuzzi Giampaolo, Palagi Laura, Piacentini Mauro

On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds. OPTIMIZATION LETTERS 2011: 347-362

2010

DI PILLO Gianni, Liuzzi Giampaolo, Lucidi Stefano, Palagi Laura

A truncated Newton method in an augmented Lagrangian framework for nonlinear programming. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 2010: 311-352

2009

Lucidi Stefano, Palagi Laura, Risi Arnaldo, M. Sciandrone

A Convergent Hybrid Decomposition Algorithm Model for SVM Training. IEEE TRANSACTIONS ON NEURAL NETWORKS 2009: 1055-1060

C. J. Lin, Lucidi Stefano, Palagi Laura, Risi Arnaldo, M. Sciandrone

Decomposition Algorithm Model for Singly Linearly-Constrained Problems Subject to Lower and Upper Bounds. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 2009: 107-126