Understanding Latin America IPv6 connectivity: A preliminary exploration. - Diego Kiedanski; Eduardo Grampín (SCCC, 2017)

The Atlas Vision of IPv6 in Latin America: Topology and Latency. - Diego Kiedanski; Eduardo Grampín; J. Ignacio Alvarez-Hamelin (LANC, 2018)

Discovering Interconnections between Uruguay and the World Using Popular Internet Traffic. - Mateo Nogueira; Diego Kiedanski; Eduardo Grampín (SSN, 2018)

The effect of ramp constraints on coalitional storage games. - Diego Kiedanski; Ariel Orda; Daniel Kofman (e-Energy, 2019)

Youtube traffic from the perspective of a developing country: the case of Uruguay. - Diego Kiedanski; Mateo Nogueira; Eduardo Grampín (INFOCOM Workshops, 2019)

Strategy-proof local energy market with sequential stochastic decision process for battery control. - Diego Kiedanski; Daniel Kofman; José Horta; David Menga (ISGT, 2019)

Optimal Storage Arbitrage under Net Metering using Linear Programming. - Md Umar Hashmi; Arpan Mukhopadhyay; Ana Busic; Jocelyne Elias; Diego Kiedanski (SmartGridComm, 2019)

Sensitivity to Forecast Errors in Energy Storage Arbitrage for Residential Consumers. - Diego Kiedanski; Md Umar Hashmi; Ana Busic; Daniel Kofman (SmartGridComm, 2019)

Exploiting Flexibility in Irrigation While Maintaining Optimal Crop Productivity. - Diego Kiedanski; Daniel Kofman; Ariel Orda; José Horta; Alvaro Otero (SmartGridComm, 2019)

Efficient distributed solutions for sharing energy resources at the local level: a cooperative game approach. - Diego Kiedanski; Ana Busic; Daniel Kofman; Ariel Orda (CDC, 2020)

Discrete and stochastic coalitional storage games. - Diego Kiedanski; Ariel Orda; Daniel Kofman (e-Energy, 2020)

Design of a Combinatorial Double Auction for Local Energy Markets. - Diego Kiedanski; Daniel Kofman; Ariel Orda (NetGCooP, 2020)

Misalignments of objectives in demand response programs: a look at local energy markets. - Diego Kiedanski; Daniel Kofman; Patrick Maillé; José Horta (SmartGridComm, 2020)

Combflex: a linear combinatorial auction for local energy markets. - Diego Kiedanski; Ariel Orda; Daniel Kofman (SmartGridComm, 2020)

Energy storage applications for low voltage consumers in Uruguay. - Md Umar Hashmi; José Horta; Diego Kiedanski; Ana Busic; Daniel Kofman (CoRR, 2020)

PyMarket - A simple library for simulating markets in Python. - Diego Kiedanski; Daniel Kofman; José Horta (J. Open Source Softw., 2020)

Mechanisms and architectures to encourage the massive and efficient use of local renewable energy. (Mécanismes et architectures pour encourager l'usage massif et efficace d'énergies renouvelables générées localement). - Diego Kiedanski (2020)

Instability of clustering metrics in overlapping community detection algorithms. - Diego Kiedanski; Pablo Rodríguez-Bocca (CLEI, 2021)

Bias in Deep Neural Networks in Land Use Characterization for International Development. - Do-Hyung Kim; Guzmán López; Diego Kiedanski; Iyke Maduako; Braulio Ríos; Alan Descoins; Naroa Zurutuza; Shilpa Arora; Christopher Fabian (Remote. Sens., 2021)

Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. - Yuang Jiang; Konstantinos Poularakis; Diego Kiedanski; Sastry Kompella; Leandros Tassiulas (IEEE Big Data, 2022)

Identification of medical devices using machine learning on distribution feeder data for informing power outage response. - Paraskevi Kourtza; Maitreyee Marathe; Anuj Shetty; Diego Kiedanski (CoRR, 2022)

Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing. - Rosario Patanè; Andrea Araldo; Tijani Chahed; Diego Kiedanski; Daniel Kofman (CCNC, 2023)

Fog Computing for Deep Learning with Pipelines. - Antero Vainio; Akrit Mudvari; Diego Kiedanski; Sasu Tarkoma; Leandros Tassiulas (ICFEC, 2023)

Seasonal Average Temperature Forecast with the AutoGluonTS Modern AutoML Tool. - Diego Kiedanski; Pablo Rodríguez-Bocca; Gerardo Rubino (PKDD/ECML Workshops (3), 2023)

An Overview of the Data-Loader Landscape: Comparative Performance Analysis. - Iason Ofeidis; Diego Kiedanski; Leandros Tassiulas (IEEE Big Data, 2024)