k-Hyperplane Clustering Problem: Column Generation and a Metaheuristic. - Edoardo Amaldi; Stefano Coniglio; Kanika Dhyani (CTW, 2009)

Improving Cutting Plane Generation with 0-1 Inequalities by Bi-criteria Separation. - Edoardo Amaldi; Stefano Coniglio; Stefano Gualandi (SEA, 2010)

Formulations and heuristics for the k-Piecewise Affine Model Fitting problem. - Edoardo Amaldi; Stefano Coniglio; Leonardo Taccari (CTW, 2011)

The impact of the norm on the k-Hyperplane Clustering problem: relaxations, restrictions, approximation factors, and exact formulations. - Stefano Coniglio (CTW, 2011)

k-Piecewise Affine Model Fitting: Heuristics Based on Multiway Linear Classification. - Edoardo Amaldi; Stefano Coniglio; Leonardo Taccari (CTW, 2012)

Energy-aware traffic engineering with elastic demands and MMF bandwidth allocation. - Edoardo Amaldi; Antonio Capone; Stefano Coniglio; Luca Giovanni Gianoli (CAMAD, 2013)

Bound-optimal cutting planes. - Stefano Coniglio (CTW, 2013)

On coordinated cutting plane generation and mixed integer programs with nonconvex 2-norm constraints. - Stefano Coniglio (4OR, 2013)

On single-path network routing subject to max-min fair flow allocation. - Edoardo Amaldi; Stefano Coniglio; Luca Giovanni Gianoli; Can Umut Ileri (Electron. Notes Discret. Math., 2013)

A distance-based point-reassignment heuristic for the k-hyperplane clustering problem. - Edoardo Amaldi; Stefano Coniglio (Eur. J. Oper. Res., 2013)

Network Optimization Problems Subject to Max-Min Fair Flow Allocation. - Edoardo Amaldi; Antonio Capone; Stefano Coniglio; Luca Giovanni Gianoli (IEEE Commun. Lett., 2013)

Maximum Throughput Network Routing Subject to Fair Flow Allocation. - Edoardo Amaldi; Stefano Coniglio; Leonardo Taccari (ISCO, 2014)

Coordinated cutting plane generation via multi-objective separation. - Edoardo Amaldi; Stefano Coniglio; Stefano Gualandi (Math. Program., 2014)

Virtual network embedding under uncertainty: Exact and heuristic approaches. - Stefano Coniglio; Arie M. C. A. Koster; Martin Tieves (DRCN, 2015)

On the Generation of Cutting Planes which Maximize the Bound Improvement. - Stefano Coniglio; Martin Tieves (SEA, 2015)

Optimal offline virtual network embedding with rent-at-bulk aspects. - Stefano Coniglio; Boris Grimm; Arie M. C. A. Koster; Martin Tieves; Axel Werner (CoRR, 2015)

Methods for Finding Leader-Follower Equilibria with Multiple Followers: (Extended Abstract). - Nicola Basilico; Stefano Coniglio; Nicola Gatti 001 (AAMAS, 2016)

On Robust Lot Sizing Problems with Storage Deterioration, with Applications to Heat and Power Cogeneration. - Stefano Coniglio; Arie Koster; Nils Spiekermann (ISCO, 2016)

Discrete optimization methods to fit piecewise affine models to data points. - Edoardo Amaldi; Stefano Coniglio; Leonardo Taccari (Comput. Oper. Res., 2016)

On the computational complexity of the virtual network embedding problem. - Edoardo Amaldi; Stefano Coniglio; Arie M. C. A. Koster; Martin Tieves (Electron. Notes Discret. Math., 2016)

Data Uncertainty in Virtual Network Embedding: Robust Optimization and Protection Levels. - Stefano Coniglio; Arie Koster; Martin Tieves (J. Netw. Syst. Manag., 2016)

Pessimistic Leader-Follower Equilibria with Multiple Followers. - Stefano Coniglio; Nicola Gatti 001; Alberto Marchesi 001 (IJCAI, 2017)

Bilevel Programming Approaches to the Computation of Optimistic and Pessimistic Single-Leader-Multi-Follower Equilibria. - Nicola Basilico; Stefano Coniglio; Nicola Gatti 001; Alberto Marchesi 001 (SEA, 2017)

On the Separation of Topology-Free Rank Inequalities for the Max Stable Set Problem. - Stefano Coniglio; Stefano Gualandi (SEA, 2017)

Methods for finding leader-follower equilibria with multiple followers. - Nicola Basilico; Stefano Coniglio; Nicola Gatti 001 (CoRR, 2017)

A workload-dependent task assignment policy for crowdsourcing. - Ilio Catallo; Stefano Coniglio; Piero Fraternali; Davide Martinenghi (World Wide Web, 2017)

Leadership in Singleton Congestion Games. - Alberto Marchesi 001; Stefano Coniglio; Nicola Gatti 001 (IJCAI, 2018)

Computing a Pessimistic Leader-Follower Equilibrium with Multiple Followers: the Mixed-Pure Case. - Stefano Coniglio; Nicola Gatti 001; Alberto Marchesi 001 (CoRR, 2018)

Lot sizing with storage losses under demand uncertainty. - Stefano Coniglio; Arie M. C. A. Koster; Nils Spiekermann (J. Comb. Optim., 2018)

Computing Optimal Ex Ante Correlated Equilibria in Two-Player Sequential Games. - Andrea Celli; Stefano Coniglio; Nicola Gatti 001 (AAMAS, 2019)

Leadership in singleton congestion games: What is hard and what is easy. - Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Stefano Coniglio (Artif. Intell., 2019)

Computing Optimal Coarse Correlated Equilibria in Sequential Games. - Andrea Celli; Stefano Coniglio; Nicola Gatti 001 (CoRR, 2019)

Bayesian Persuasion with Sequential Games. - Andrea Celli; Stefano Coniglio; Nicola Gatti 001 (CoRR, 2019)

A new branch-and-bound algorithm for the maximum edge-weighted clique problem. - Pablo San Segundo; Stefano Coniglio; Fabio Furini; Ivana Ljubic (Eur. J. Oper. Res., 2019)

A lexicographic pricer for the fractional bin packing problem. - Stefano Coniglio; Fabio D'Andreagiovanni; Fabio Furini (Oper. Res. Lett., 2019)

Private Bayesian Persuasion with Sequential Games. - Andrea Celli; Stefano Coniglio; Nicola Gatti 001 (AAAI, 2020)

Computing a Pessimistic Stackelberg Equilibrium with Multiple Followers: The Mixed-Pure Case. - Stefano Coniglio; Nicola Gatti 001; Alberto Marchesi 001 (Algorithmica, 2020)

Infrequent adverse event prediction in low carbon energy production using machine learning. - Stefano Coniglio; Anthony J. Dunn; Alain B. Zemkoho (CoRR, 2020)

Bilevel programming methods for computing single-leader-multi-follower equilibria in normal-form and polymatrix games. - Nicola Basilico; Stefano Coniglio; Nicola Gatti 001; Alberto Marchesi 001 (EURO J. Comput. Optim., 2020)

Elastic Traffic Engineering Subject to a Fair Bandwidth Allocation via Bilevel Programming. - Stefano Coniglio; Luca Giovanni Gianoli; Edoardo Amaldi; Antonio Capone (IEEE/ACM Trans. Netw., 2020)

Deep learning methods for screening patients' S-ICD implantation eligibility. - Anthony J. Dunn; Mohamed H. ElRefai; Paul R. Roberts; Stefano Coniglio; Benedict M. Wiles; Alain B. Zemkoho (Artif. Intell. Medicine, 2021)

A Unified Framework for Multistage and Multilevel Mixed Integer Linear Optimization. - Suresh Bolusani; Stefano Coniglio; Ted K. Ralphs; Sahar Tahernejad (CoRR, 2021)

A new combinatorial branch-and-bound algorithm for the Knapsack Problem with Conflicts. - Stefano Coniglio; Fabio Furini; Pablo San Segundo (Eur. J. Oper. Res., 2021)

Airport capacity extension, fleet investment, and optimal aircraft scheduling in a multilevel market model: quantifying the costs of imperfect markets. - Stefano Coniglio; Mathias Sirvent; Martin Weibelzahl (OR Spectr., 2021)

Optimizing over the Closure of Rank Inequalities with a Small Right-Hand Side for the Maximum Stable Set Problem via Bilevel Programming. - Stefano Coniglio; Stefano Gualandi (INFORMS J. Comput., 2022)

Submodular maximization of concave utility functions composed with a set-union operator with applications to maximal covering location problems. - Stefano Coniglio; Fabio Furini; Ivana Ljubic (Math. Program., 2022)

On the exact separation of cover inequalities of maximum-depth. - Daniele Catanzaro; Stefano Coniglio; Fabio Furini (Optim. Lett., 2022)

SigMaNet: One Laplacian to Rule Them All. - Stefano Fiorini; Stefano Coniglio; Michele Ciavotta; Enza Messina (AAAI, 2023)

Energy storage operation and electricity market design: On the market power of monopolistic storage operators. - Endre Bjørndal; Mette Bjørndal; Stefano Coniglio; Marc-Fabian Körner; Christina Leinauer; Martin Weibelzahl (Eur. J. Oper. Res., 2023)

Deep learning and hyperparameter optimization for assessing one's eligibility for a subcutaneous implantable cardioverter-defibrillator. - Anthony J. Dunn; Stefano Coniglio; Mohamed H. ElRefai; Paul R. Roberts; Benedict M. Wiles; Alain B. Zemkoho (Ann. Oper. Res., 2023)

Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs. - Stefano Fiorini; Stefano Coniglio; Michele Ciavotta; Enza Messina (AAAI, 2024)

DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions. - Stefano Fiorini; Giulia M. Bovolenta; Stefano Coniglio; Michele Ciavotta; Pietro Morerio; Michele Parrinello; Alessio Del Bue (CoRR, 2024)

Classification under strategic adversary manipulation using pessimistic bilevel optimisation. - David Benfield; Stefano Coniglio; Martin Kunc 001; Phan Tu Vuong; Alain B. Zemkoho (CoRR, 2024)

A Numerically Exact Algorithm for the Bin-Packing Problem. - Roberto Baldacci; Stefano Coniglio; Jean-François Cordeau; Fabio Furini (INFORMS J. Comput., 2024)

Let There be Direction in Hypergraph Neural Networks. - Stefano Fiorini; Stefano Coniglio; Michele Ciavotta; Alessio Del Bue (Trans. Mach. Learn. Res., 2024)

Sheaves Reloaded: A Directional Awakening. - Stefano Fiorini; Hakan Aktas; Iulia Duta; Stefano Coniglio; Pietro Morerio; Alessio Del Bue; Pietro Liò (CoRR, 2025)