Diego Kiedanski

According to our database, Diego Kiedanski authored at least 25 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Seasonal Average Temperature Forecast with the AutoGluonTS Modern AutoML Tool.

Diego Kiedanski, Pablo Rodríguez-Bocca, Gerardo Rubino

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Fog Computing for Deep Learning with Pipelines.

Antero Vainio, Akrit Mudvari, Diego Kiedanski, Sasu Tarkoma, Leandros Tassiulas

Proceedings of the 7th IEEE International Conference on Fog and Edge Computing, 2023

Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing.

Rosario Patanè, Andrea Araldo, Tijani Chahed, Diego Kiedanski, Daniel Kofman

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

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

An Overview of the Data-Loader Landscape: Comparative Performance Analysis.

Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas

CoRR, 2022

Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality.

Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas

Proceedings of the IEEE International Conference on Big Data, 2022

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

Instability of clustering metrics in overlapping community detection algorithms.

Diego Kiedanski, Pablo Rodríguez-Bocca

Proceedings of the XLVII Latin American Computing Conference, 2021

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

PhD thesis, 2020

PyMarket - A simple library for simulating markets in Python.

Diego Kiedanski, Daniel Kofman, José Horta

J. Open Source Softw., 2020

Energy storage applications for low voltage consumers in Uruguay.

Md Umar Hashmi, José Horta, Diego Kiedanski, Ana Busic, Daniel Kofman

CoRR, 2020

Combflex: a linear combinatorial auction for local energy markets.

Diego Kiedanski, Ariel Orda, Daniel Kofman

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Misalignments of objectives in demand response programs: a look at local energy markets.

Diego Kiedanski, Daniel Kofman, Patrick Maillé, José Horta

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Design of a Combinatorial Double Auction for Local Energy Markets.

Diego Kiedanski, Daniel Kofman, Ariel Orda

Proceedings of the Network Games, Control and Optimization - 10th International Conference, 2020

Discrete and stochastic coalitional storage games.

Diego Kiedanski, Ariel Orda, Daniel Kofman

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Efficient distributed solutions for sharing energy resources at the local level: a cooperative game approach.

Diego Kiedanski, Ana Busic, Daniel Kofman, Ariel Orda

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Exploiting Flexibility in Irrigation While Maintaining Optimal Crop Productivity.

Diego Kiedanski, Daniel Kofman, Ariel Orda, José Horta, Alvaro Otero

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Sensitivity to Forecast Errors in Energy Storage Arbitrage for Residential Consumers.

Diego Kiedanski, Md Umar Hashmi, Ana Busic, Daniel Kofman

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Optimal Storage Arbitrage under Net Metering using Linear Programming.

Md Umar Hashmi, Arpan Mukhopadhyay, Ana Busic, Jocelyne Elias, Diego Kiedanski

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Strategy-proof local energy market with sequential stochastic decision process for battery control.

Diego Kiedanski, Daniel Kofman, José Horta, David Menga

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Youtube traffic from the perspective of a developing country: the case of Uruguay.

Diego Kiedanski, Mateo Nogueira, Eduardo Grampín

Proceedings of the IEEE INFOCOM 2019, 2019

The effect of ramp constraints on coalitional storage games.

Diego Kiedanski, Ariel Orda, Daniel Kofman

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

Discovering Interconnections between Uruguay and the World Using Popular Internet Traffic.

Mateo Nogueira, Diego Kiedanski, Eduardo Grampín

Proceedings of the IV School on Systems and Networks, 2018

The Atlas Vision of IPv6 in Latin America: Topology and Latency.

Diego Kiedanski, Eduardo Grampín, J. Ignacio Alvarez-Hamelin

Proceedings of the 10th Latin America Networking Conference, 2018

2017

Understanding Latin America IPv6 connectivity: A preliminary exploration.

Diego Kiedanski, Eduardo Grampín

Proceedings of the 36th International Conference of the Chilean Computer Science Society, 2017