Novel linear programming approach for building a piecewise nonlinear binary classifier with a priori accuracy. - Ubaldo M. García-Palomares; Orestes Manzanilla-Salazar (Decis. Support Syst., 2012)

Minimizing Cluster Errors in LP-Based Nonlinear Classification. - Orestes Manzanilla-Salazar; Jesús Espinal-Kohler; Ubaldo M. García-Palomares (MLDM, 2014)

Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect data. - Orestes Manzanilla-Salazar; Brunilde Sansò (CoRR, 2018)

eNodeB Failure Detection from Aggregated Performance KPIs in Smart-city LTE Infrastructures. - Orestes Manzanilla-Salazar; Filippo Malandra; Brunilde Sansò (DRCN, 2019)

A Machine Learning Framework for Sleeping Cell Detection in a Smart-City IoT Telecommunications Infrastructure. - Orestes Manzanilla-Salazar; Filippo Malandra; Hakim Mellah; Constant Wette Tchouati; Brunilde Sansò (IEEE Access, 2020)

An algorithm for threading assignment in large-scale wireless network mobile simulations. - Orestes Manzanilla-Salazar; Hakim Mellah; Filippo Malandra; Brunilde Sansò (DS-RT, 2021)

Framework for Vertical Performance Assessment in Very Large-Scale Cellular Networks. - Orestes Manzanilla-Salazar; Victor Boutin; Hakim Mellah; Constant Wette; Brunilde Sansò (IEEE Internet Things J., 2022)

PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment. - Abbas Dehghani Firouzabadi; Hakim Mellah; Orestes Manzanilla-Salazar; Reza Khalvandi; Vincent Therrien; Victor Boutin; Brunilde Sansò (IEEE Access, 2023)

Recognizing Emergencies and Multi-User Behavior Patterns Using Imperfect Data From Distributed Access Points. A Non-Intrusive Proof of Concept. - Orestes Manzanilla-Salazar; Hakim Mellah; Brunilde Sansò (IEEE Access, 2023)