Laura Palagi - RankMe

54 papers Journal 49Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benders decomposition for congested partial set covering location with uncertain demand. Eur. J. Oper. Res. Alice Calamita, Ivana Ljubic, Laura Palagi
2025	J	`jnl`	A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1. Comput. Medical Imaging Graph. Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi
2025	J	`jnl`	Convergence of ease-controlled random reshuffling gradient algorithms under Lipschitz smoothness. Comput. Optim. Appl. Ruggiero Seccia, Corrado Coppola, Giampaolo Liuzzi, Laura Palagi
2025	J	`jnl`	Multi-criteria Optimization Scheduling of Surgical Units: A Case Study at Policlinico Umberto I of Rome. Oper. Res. Forum Anna Livia Croella, Edoardo Maria Tronci, Alberto Nastasi, Laura Palagi, Federico Petitti, Ferdinando Romano
2025	J	`jnl`	Speeding Up the Solution of the Site and Power Assignment Problem in Wireless Networks. Networks Pasquale Avella, Alice Calamita, Laura Palagi
2024	J	`jnl`	Benders decomposition for congested partial set covering location with uncertain demand. CoRR Alice Calamita, Ivana Ljubic, Laura Palagi
2024	J	`jnl`	Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization. CoRR Corrado Coppola, Lorenzo Papa, Irene Amerini, Laura Palagi
2024	J	`jnl`	Feature selection in linear SVMs via hard cardinality constraint: a scalable SDP decomposition approach. CoRR Immanuel M. Bomze, Federico D'Onofrio, Laura Palagi, Bo Peng
2024	J	`jnl`	Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1. Bioinform. Giulia Di Teodoro, Martin Pirkl, Francesca Incardona, Ilaria Vicenti, Anders Sönnerborg, Rolf Kaiser, Laura Palagi, Maurizio Zazzi, Thomas Lengauer
2024	J	`jnl`	Margin optimal classification trees. Comput. Oper. Res. Federico D'Onofrio, Giorgio Grani, Marta Monaci, Laura Palagi
2024	J	`jnl`	Modern optimization approaches to classification - Special issue editorial. EURO J. Comput. Optim. António Pedro Duarte Silva, Laura Palagi, Veronica Piccialli
2024	J	`jnl`	Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree. EURO J. Comput. Optim. Giulia Di Teodoro, Marta Monaci, Laura Palagi
2023	J	`jnl`	A compact formulation for the base station deployment problem in wireless networks. Networks Pasquale Avella, Alice Calamita, Laura Palagi
2023	J	`jnl`	A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. CoRR Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi
2023	J	`jnl`	Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1. CoRR Giulia Di Teodoro, Martin Pirkl, Francesca Incardona, Ilaria Vicenti, Anders Sönnerborg, Rolf Kaiser, Laura Palagi, Maurizio Zazzi, Thomas Lengauer
2023	J	`jnl`	Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree. CoRR Giulia Di Teodoro, Marta Monaci, Laura Palagi
2022	J	`jnl`	A Computational Study on the Site and Power Assignment Problem in Wireless Networks. CoRR Pasquale Avella, Alice Calamita, Laura Palagi
2022	J	`jnl`	AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes. CoRR Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci, Ioannis Chatzigiannakis, Federico Croce, Giulia Di Teodoro, Michele Gentili, Giorgio Grani, Maurizio Lenzerini, Stefano Leonardi, Andrea Mastropietro, Laura Palagi, Massimiliano Pappa, Riccardo Rosati, Riccardo Valentini, Paola Velardi
2022	J	`jnl`	Convergence under Lipschitz smoothness of ease-controlled Random Reshuffling gradient Algorithms. CoRR Giampaolo Liuzzi, Laura Palagi, Ruggiero Seccia
2022	J	`jnl`	Margin Optimal Classification Trees. CoRR Federico D'Onofrio, Giorgio Grani, Marta Monaci, Laura Palagi
2022	J	`jnl`	Solving the vehicle routing problem with deep reinforcement learning. CoRR Simone Foa, Corrado Coppola, Giorgio Grani, Laura Palagi
2021	J	`jnl`	An Integer Black-Box Optimization Model for Repairable Spare Parts Management. Int. J. Inf. Syst. Supply Chain Manag. Giuseppe Bernabei, Francesco Costantino, Laura Palagi, Riccardo Patriarca, Francesco Romito
2021	J	`jnl`	On the convergence of a Block-Coordinate Incremental Gradient method. Soft Comput. Laura Palagi, Ruggiero Seccia
2020	J	`jnl`	Block Layer Decomposition schemes for training Deep Neural Networks. CoRR Laura Palagi, Ruggiero Seccia
2020	J	`jnl`	Block layer decomposition schemes for training deep neural networks. J. Glob. Optim. Laura Palagi, Ruggiero Seccia
2020	J	`jnl`	Branching with hyperplanes in the criterion space: The frontier partitioner algorithm for biobjective integer programming. Eur. J. Oper. Res. Marianna De Santis, Giorgio Grani, Laura Palagi
2019	J	`jnl`	Case - Production and Distribution Optimization of Beach Equipment for the Marinero Company. INFORMS Trans. Educ. Andrea Manno, Laura Palagi, Simone Sagratella
2019	J	`jnl`	Case Article - Production and Distribution Optimization of Beach Equipment for the Marinero Company. INFORMS Trans. Educ. Andrea Manno, Laura Palagi, Simone Sagratella
2019	J	`jnl`	Global optimization issues in deep network regression: an overview. J. Glob. Optim. Laura Palagi
2019	—	`conf`	Swlda Offers a Valuable Trade-off between interpretability and accuracy for rehabilitative BCIs. GBCIC Emma Colamarino, Tommaso Colombo, Floriana Pichiorri, Donatella Mattia, Laura Palagi, Febo Cincotti
2018	J	`jnl`	Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training. Comput. Optim. Appl. Andrea Manno, Laura Palagi, Simone Sagratella
2017	—	`conf`	One-Way Free Floating Car-Sharing: Applying Vehicle-Generated Data to Assess the Market Demand Potential of Urban Zones. COMPSAC (2) Yuri M. Chianese, Alessandro Avenali, Raffaele Gambuti, Laura Palagi
2015	—	`conf`	A QoE-aware dynamic bandwidth allocation algorithm based on game theory. MED Guido Oddi, Antonio Pietrabissa, Francesco Delli Priscoli, Francisco Facchinei, Laura Palagi, Andrea Lanna
2015	J	`jnl`	A fast branch-and-bound algorithm for non-convex quadratic integer optimization subject to linear constraints using ellipsoidal relaxations. Oper. Res. Lett. Christoph Buchheim, Marianna De Santis, Laura Palagi
2015	J	`jnl`	Foreword. Optim. Methods Softw. Laura Palagi, Fabio Schoen
2015	—	`conf`	Profiled QoE based network controller. MED Silvia Canale, Federico Cimorelli, Francisco Facchinei, Raffaele Gambuti, Laura Palagi, Vincenzo Suraci
2015	J	`jnl`	Using SVM to combine global heuristics for the Standard Quadratic Problem. Eur. J. Oper. Res. Umberto Dellepiane, Laura Palagi
2013	J	`jnl`	An Exact Algorithm for Nonconvex Quadratic Integer Minimization Using Ellipsoidal Relaxations. SIAM J. Optim. Christoph Buchheim, Marianna De Santis, Laura Palagi, Mauro Piacentini
2012	J	`jnl`	SpeeDP: an algorithm to compute SDP bounds for very large Max-Cut instances. Math. Program. Luigi Grippo, Laura Palagi, Mauro Piacentini, Veronica Piccialli, Giovanni Rinaldi
2011	J	`jnl`	An unconstrained minimization method for solving low-rank SDP relaxations of the maxcut problem. Math. Program. Luigi Grippo, Laura Palagi, Veronica Piccialli
2011	J	`jnl`	On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds. Optim. Lett. Giampaolo Liuzzi, Laura Palagi, Mauro Piacentini
2010	J	`jnl`	A truncated Newton method in an augmented Lagrangian framework for nonlinear programming. Comput. Optim. Appl. Gianni Di Pillo, Giampaolo Liuzzi, Stefano Lucidi, Laura Palagi
2009	J	`jnl`	A Convergent Hybrid Decomposition Algorithm Model for SVM Training. IEEE Trans. Neural Networks Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone
2009	—	`ch.`	Large Scale Trust Region Problems. Encyclopedia of Optimization Laura Palagi
2009	J	`jnl`	Necessary and sufficient global optimality conditions for NLP reformulations of linear SDP problems. J. Glob. Optim. Luigi Grippo, Laura Palagi, Veronica Piccialli
2007	J	`jnl`	A convergent decomposition algorithm for support vector machines. Comput. Optim. Appl. Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone
2005	J	`jnl`	Convergence to Second-Order Stationary Points of a Primal-Dual Algorithm Model for Nonlinear Programming. Math. Oper. Res. Gianni Di Pillo, Stefano Lucidi, Laura Palagi
2005	J	`jnl`	On the convergence of a modified version of SVM Optim. Methods Softw. Laura Palagi, Marco Sciandrone
2005	J	`jnl`	Quartic Formulation of Standard Quadratic Optimization Problems. J. Glob. Optim. Immanuel M. Bomze, Laura Palagi
2003	J	`jnl`	An Exact Augmented Lagrangian Function for Nonlinear Programming with Two-Sided Constraints. Comput. Optim. Appl. Gianni Di Pillo, Giampaolo Liuzzi, Stefano Lucidi, Laura Palagi
2002	J	`jnl`	A Truncated Newton Algorithm for Large Scale Box Constrained Optimization. SIAM J. Optim. Francisco Facchinei, Stefano Lucidi, Laura Palagi
1999	J	`jnl`	A Mathematical Programming Approach for the Solution of the Railway Yield Management Problem. Transp. Sci. A. Ciancimino, G. Inzerillo, Stefano Lucidi, Laura Palagi
1999	J	`jnl`	A Shifted-Barrier Primal-Dual Algorithm Model for Linearly Constrained Optimization Problems. Comput. Optim. Appl. Gianni Di Pillo, Stefano Lucidi, Laura Palagi
1998	J	`jnl`	On Some Properties of Quadratic Programs with a Convex Quadratic Constraint. SIAM J. Optim. Stefano Lucidi, Laura Palagi, Massimo Roma