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Laura Palagi
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2020 – today
- 2024
- [j30]Federico D'Onofrio, Giorgio Grani, Marta Monaci, Laura Palagi:
Margin optimal classification trees. Comput. Oper. Res. 161: 106441 (2024) - [j29]Giulia Di Teodoro, Marta Monaci, Laura Palagi:
Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree. EURO J. Comput. Optim. 12: 100084 (2024) - [i11]Alice Calamita, Ivana Ljubic, Laura Palagi:
Benders decomposition for congested partial set covering location with uncertain demand. CoRR abs/2401.12625 (2024) - [i10]Immanuel M. Bomze, Federico D'Onofrio, Laura Palagi, Bo Peng:
Feature selection in linear SVMs via hard cardinality constraint: a scalable SDP decomposition approach. CoRR abs/2404.10099 (2024) - 2023
- [j28]Pasquale Avella, Alice Calamita, Laura Palagi:
A compact formulation for the base station deployment problem in wireless networks. Networks 82(1): 52-67 (2023) - [i9]Giulia Di Teodoro, Marta Monaci, Laura Palagi:
Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree. CoRR abs/2302.07580 (2023) - [i8]Giulia Di Teodoro, Martin Pirkl, Francesca Incardona, Ilaria Vicenti, Anders Sönnerborg, Rolf Kaiser, Laura Palagi, Maurizio Zazzi, Thomas Lengauer:
Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1. CoRR abs/2311.04846 (2023) - [i7]Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi:
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. CoRR abs/2312.17506 (2023) - 2022
- [i6]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:
AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes. CoRR abs/2206.06182 (2022) - [i5]Simone Foa, Corrado Coppola, Giorgio Grani, Laura Palagi:
Solving the vehicle routing problem with deep reinforcement learning. CoRR abs/2208.00202 (2022) - [i4]Pasquale Avella, Alice Calamita, Laura Palagi:
A Computational Study on the Site and Power Assignment Problem in Wireless Networks. CoRR abs/2210.04022 (2022) - [i3]Federico D'Onofrio, Giorgio Grani, Marta Monaci, Laura Palagi:
Margin Optimal Classification Trees. CoRR abs/2210.10567 (2022) - [i2]Giampaolo Liuzzi, Laura Palagi, Ruggiero Seccia:
Convergence under Lipschitz smoothness of ease-controlled Random Reshuffling gradient Algorithms. CoRR abs/2212.01848 (2022) - 2021
- [j27]Giuseppe Bernabei, Francesco Costantino, Laura Palagi, Riccardo Patriarca, Francesco Romito:
An Integer Black-Box Optimization Model for Repairable Spare Parts Management. Int. J. Inf. Syst. Supply Chain Manag. 14(2): 46-68 (2021) - [j26]Laura Palagi, Ruggiero Seccia:
On the convergence of a Block-Coordinate Incremental Gradient method. Soft Comput. 25(19): 12615-12626 (2021) - 2020
- [j25]Marianna De Santis, Giorgio Grani, Laura Palagi:
Branching with hyperplanes in the criterion space: The frontier partitioner algorithm for biobjective integer programming. Eur. J. Oper. Res. 283(1): 57-69 (2020) - [j24]Laura Palagi, Ruggiero Seccia:
Block layer decomposition schemes for training deep neural networks. J. Glob. Optim. 77(1): 97-124 (2020) - [i1]Laura Palagi, Ruggiero Seccia:
Block Layer Decomposition schemes for training Deep Neural Networks. CoRR abs/2003.08123 (2020)
2010 – 2019
- 2019
- [j23]Andrea Manno, Laura Palagi, Simone Sagratella:
Case Article - Production and Distribution Optimization of Beach Equipment for the Marinero Company. INFORMS Trans. Educ. 19(3): 152-154 (2019) - [j22]Andrea Manno, Laura Palagi, Simone Sagratella:
Case - Production and Distribution Optimization of Beach Equipment for the Marinero Company. INFORMS Trans. Educ. 19(3): 155-159 (2019) - [j21]Laura Palagi:
Global optimization issues in deep network regression: an overview. J. Glob. Optim. 73(2): 239-277 (2019) - [c4]Emma Colamarino, Tommaso Colombo, Floriana Pichiorri, Donatella Mattia, Laura Palagi, Febo Cincotti:
Swlda Offers a Valuable Trade-off between interpretability and accuracy for rehabilitative BCIs. GBCIC 2019 - 2018
- [j20]Andrea Manno, Laura Palagi, Simone Sagratella:
Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training. Comput. Optim. Appl. 71(1): 115-145 (2018) - 2017
- [c3]Yuri M. Chianese, Alessandro Avenali, Raffaele Gambuti, Laura Palagi:
One-Way Free Floating Car-Sharing: Applying Vehicle-Generated Data to Assess the Market Demand Potential of Urban Zones. COMPSAC (2) 2017: 777-782 - 2015
- [j19]Umberto Dellepiane, Laura Palagi:
Using SVM to combine global heuristics for the Standard Quadratic Problem. Eur. J. Oper. Res. 241(3): 596-605 (2015) - [j18]Laura Palagi, Fabio Schoen:
Foreword. Optim. Methods Softw. 30(2): 251-252 (2015) - [j17]Christoph Buchheim, Marianna De Santis, Laura Palagi:
A fast branch-and-bound algorithm for non-convex quadratic integer optimization subject to linear constraints using ellipsoidal relaxations. Oper. Res. Lett. 43(4): 384-388 (2015) - [c2]Guido Oddi, Antonio Pietrabissa, Francesco Delli Priscoli, Francisco Facchinei, Laura Palagi, Andrea Lanna:
A QoE-aware dynamic bandwidth allocation algorithm based on game theory. MED 2015: 979-985 - [c1]Silvia Canale, Federico Cimorelli, Francisco Facchinei, Raffaele Gambuti, Laura Palagi, Vincenzo Suraci:
Profiled QoE based network controller. MED 2015: 1085-1091 - 2013
- [j16]Christoph Buchheim, Marianna De Santis, Laura Palagi, Mauro Piacentini:
An Exact Algorithm for Nonconvex Quadratic Integer Minimization Using Ellipsoidal Relaxations. SIAM J. Optim. 23(3): 1867-1889 (2013) - 2012
- [j15]Luigi Grippo, Laura Palagi, Mauro Piacentini, Veronica Piccialli, Giovanni Rinaldi:
SpeeDP: an algorithm to compute SDP bounds for very large Max-Cut instances. Math. Program. 136(2): 353-373 (2012) - 2011
- [j14]Luigi Grippo, Laura Palagi, Veronica Piccialli:
An unconstrained minimization method for solving low-rank SDP relaxations of the maxcut problem. Math. Program. 126(1): 119-146 (2011) - [j13]Giampaolo Liuzzi, Laura Palagi, Mauro Piacentini:
On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds. Optim. Lett. 5(2): 347-362 (2011) - 2010
- [j12]Gianni Di Pillo, Giampaolo Liuzzi, Stefano Lucidi, Laura Palagi:
A truncated Newton method in an augmented Lagrangian framework for nonlinear programming. Comput. Optim. Appl. 45(2): 311-352 (2010)
2000 – 2009
- 2009
- [j11]Luigi Grippo, Laura Palagi, Veronica Piccialli:
Necessary and sufficient global optimality conditions for NLP reformulations of linear SDP problems. J. Glob. Optim. 44(3): 339-348 (2009) - [j10]Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone:
A Convergent Hybrid Decomposition Algorithm Model for SVM Training. IEEE Trans. Neural Networks 20(6): 1055-1060 (2009) - [r1]Laura Palagi:
Large Scale Trust Region Problems. Encyclopedia of Optimization 2009: 1822-1831 - 2007
- [j9]Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone:
A convergent decomposition algorithm for support vector machines. Comput. Optim. Appl. 38(2): 217-234 (2007) - 2005
- [j8]Immanuel M. Bomze, Laura Palagi:
Quartic Formulation of Standard Quadratic Optimization Problems. J. Glob. Optim. 32(2): 181-205 (2005) - [j7]Gianni Di Pillo, Stefano Lucidi, Laura Palagi:
Convergence to Second-Order Stationary Points of a Primal-Dual Algorithm Model for Nonlinear Programming. Math. Oper. Res. 30(4): 897-915 (2005) - [j6]Laura Palagi, Marco Sciandrone:
On the convergence of a modified version of SVMlight algorithm. Optim. Methods Softw. 20(2-3): 317-334 (2005) - 2003
- [j5]Gianni Di Pillo, Giampaolo Liuzzi, Stefano Lucidi, Laura Palagi:
An Exact Augmented Lagrangian Function for Nonlinear Programming with Two-Sided Constraints. Comput. Optim. Appl. 25(1-3): 57-83 (2003) - 2002
- [j4]Francisco Facchinei, Stefano Lucidi, Laura Palagi:
A Truncated Newton Algorithm for Large Scale Box Constrained Optimization. SIAM J. Optim. 12(4): 1100-1125 (2002)
1990 – 1999
- 1999
- [j3]Gianni Di Pillo, Stefano Lucidi, Laura Palagi:
A Shifted-Barrier Primal-Dual Algorithm Model for Linearly Constrained Optimization Problems. Comput. Optim. Appl. 12(1-3): 157-188 (1999) - [j2]A. Ciancimino, G. Inzerillo, Stefano Lucidi, Laura Palagi:
A Mathematical Programming Approach for the Solution of the Railway Yield Management Problem. Transp. Sci. 33(2): 168-181 (1999) - 1998
- [j1]Stefano Lucidi, Laura Palagi, Massimo Roma:
On Some Properties of Quadratic Programs with a Convex Quadratic Constraint. SIAM J. Optim. 8(1): 105-122 (1998)
Coauthor Index
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