E-LIB Suche - Ergebnisse für: Gualandi, Stefano

1

Learning Sparse-Lets for Interpretable Classification of Ev..:

, In: Metaheuristics; Lecture Notes in Computer Science,

Bonasera, Lorenzo ; Duma, Davide ; Gualandi, Stefano - p. 3-18 , 2024

Link: https://doi.org/10.1007/..

2

Optimal shapelets tree for time series interpretable classi..:

Bonasera, Lorenzo ; Gualandi, Stefano
EURO Journal on Computational Optimization. 12 (2024) - p. 100091 , 2024

Link: https://doi.org/10.1016/..

3

On the generation of metric TSP instances with a large inte..:

Vercesi, Eleonora ; Gualandi, Stefano ; Mastrolilli, Monaldo.
Mathematical Programming Computation. 15 (2023) 2 - p. 389-416 , 2023

Link: https://doi.org/10.1007/..

4

Predicting the Empirical Hardness of Metric TSP Instances:

, In: AIRO Springer Series; Operations Research and Data Science in Public Services,

Gambardella, Luca Maria ; Gualandi, Stefano ; Mastrolilli, Monaldo. - p. 1-16 , 2023

Link: https://doi.org/10.1007/..

5

The BeMi Stardust: A Structured Ensemble of Binarized Neura..:

, In: Lecture Notes in Computer Science; Learning and Intelligent Optimization,

Bernardelli, Ambrogio Maria ; Gualandi, Stefano ; Lau, Hoong Chuin. - p. 443-458 , 2023

Link: https://doi.org/10.1007/..

6

A SAT Encoding to Compute Aperiodic Tiling Rhythmic Canons:

, In: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; Lecture Notes in Computer Science,

Auricchio, Gennaro ; Ferrarini, Luca ; Gualandi, Stefano.. - p. 14-23 , 2022

Link: https://doi.org/10.1007/..

7

Optimizing over the Closure of Rank Inequalities with a Sma..:

Coniglio, Stefano ; Gualandi, Stefano
INFORMS Journal on Computing. 34 (2022) 2 - p. 1006-1023 , 2022

Link: https://doi.org/10.1287/..

8

Total Coloring and Total Matching: Polyhedra and Facets:

Ferrarini, Luca ; Gualandi, Stefano
European Journal of Operational Research. 303 (2022) 1 - p. 129-142 , 2022

Link: https://doi.org/10.1016/..

9

Primal Heuristics for Wasserstein Barycenters:

, In: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; Lecture Notes in Computer Science,

Bouchet, Pierre-Yves ; Gualandi, Stefano ; Rousseau, Louis-Martin - p. 239-255 , 2020

Link: https://doi.org/10.1007/..

10

On the Computation of Kantorovich--Wasserstein Distances Be..:

Bassetti, Federico ; Gualandi, Stefano ; Veneroni, Marco
SIAM Journal on Optimization. 30 (2020) 3 - p. 2441-2469 , 2020

Link: https://doi.org/10.1137/..

11

The equivalence of Fourier-based and Wasserstein metrics on..:

Auricchio, Gennaro ; Codegoni, Andrea ; Gualandi, Stefano..
Rendiconti Lincei, Matematica e Applicazioni. 31 (2020) 3 - p. 627-649 , 2020

Link: https://doi.org/10.4171/..

12

Computing Wasserstein Barycenters via Linear Programming:

, In: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; Lecture Notes in Computer Science,

Auricchio, Gennaro ; Bassetti, Federico ; Gualandi, Stefano. - p. 355-363 , 2019

Link: https://doi.org/10.1007/..

13

Size distribution of cities: A kinetic explanation:

Gualandi, Stefano ; Toscani, Giuseppe
Physica A: Statistical Mechanics and its Applications. 524 (2019) - p. 221-234 , 2019

Link: https://doi.org/10.1016/..

14

The Maximum Nearby Flow Problem:

, In: AIRO Springer Series; Advances in Optimization and Decision Science for Society, Services and Enterprises,

Auricchio, Gennaro ; Gualandi, Stefano ; Veneroni, Marco - p. 23-33 , 2019

Link: https://doi.org/10.1007/..

15

Pareto tails in socio-economic phenomena: a kinetic descrip..:

Gualandi, Stefano ; Toscani, Giuseppe
Economics. 12 (2018) 1 - p. , 2018

Link: https://doi.org/10.5018/..