Diego Kiedanski

30 papers B 3C 2Journal 8Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures. IJCNN Pablo Rodríguez-Bocca, Guillermo Pereira, Diego Kiedanski, Soledad Collazo, Sebastián Basterrech, Gerardo Rubino
2025	J	`jnl`	An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures. CoRR Pablo Rodríguez-Bocca, Guillermo Pereira, Diego Kiedanski, Soledad Collazo, Sebastián Basterrech, Gerardo Rubino
2024	B	`conf`	An Overview of the Data-Loader Landscape: Comparative Performance Analysis. IEEE Big Data Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas
2023	—	`conf`	Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing. CCNC Rosario Patanè, Andrea Araldo, Tijani Chahed, Diego Kiedanski, Daniel Kofman
2023	C	`conf`	Fog Computing for Deep Learning with Pipelines. ICFEC Antero Vainio, Akrit Mudvari, Diego Kiedanski, Sasu Tarkoma, Leandros Tassiulas
2023	—	`conf`	Seasonal Average Temperature Forecast with the AutoGluonTS Modern AutoML Tool. PKDD/ECML Workshops (3) Diego Kiedanski, Pablo Rodríguez-Bocca, Gerardo Rubino
2022	J	`jnl`	An Overview of the Data-Loader Landscape: Comparative Performance Analysis. CoRR Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas
2022	J	`jnl`	Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing. CoRR Rosario Patanè, Andrea Araldo, Tijani Chahed, Diego Kiedanski, Daniel Kofman
2022	J	`jnl`	Identification of medical devices using machine learning on distribution feeder data for informing power outage response. CoRR Paraskevi Kourtza, Maitreyee Marathe, Anuj Shetty, Diego Kiedanski
2022	B	`conf`	Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. IEEE Big Data Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas
2022	J	`jnl`	Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. CoRR Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas
2021	J	`jnl`	Bias in Deep Neural Networks in Land Use Characterization for International Development. Remote. Sens. Do-Hyung Kim, Guzmán López, Diego Kiedanski, Iyke Maduako, Braulio Ríos, Alan Descoins, Naroa Zurutuza, Shilpa Arora, Christopher Fabian
2021	C	`conf`	Instability of clustering metrics in overlapping community detection algorithms. CLEI Diego Kiedanski, Pablo Rodríguez-Bocca
2020	—	`conf`	Combflex: a linear combinatorial auction for local energy markets. SmartGridComm Diego Kiedanski, Ariel Orda, Daniel Kofman
2020	—	`conf`	Design of a Combinatorial Double Auction for Local Energy Markets. NetGCooP Diego Kiedanski, Daniel Kofman, Ariel Orda
2020	—	`conf`	Discrete and stochastic coalitional storage games. e-Energy Diego Kiedanski, Ariel Orda, Daniel Kofman
2020	—	`conf`	Efficient distributed solutions for sharing energy resources at the local level: a cooperative game approach. CDC Diego Kiedanski, Ana Busic, Daniel Kofman, Ariel Orda
2020	J	`jnl`	Energy storage applications for low voltage consumers in Uruguay. CoRR Md Umar Hashmi, José Horta, Diego Kiedanski, Ana Busic, Daniel Kofman
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	—	`conf`	Misalignments of objectives in demand response programs: a look at local energy markets. SmartGridComm Diego Kiedanski, Daniel Kofman, Patrick Maillé, José Horta
2020	J	`jnl`	PyMarket - A simple library for simulating markets in Python. J. Open Source Softw. Diego Kiedanski, Daniel Kofman, José Horta
2019	—	`conf`	Exploiting Flexibility in Irrigation While Maintaining Optimal Crop Productivity. SmartGridComm Diego Kiedanski, Daniel Kofman, Ariel Orda, José Horta, Alvaro Otero
2019	—	`conf`	Optimal Storage Arbitrage under Net Metering using Linear Programming. SmartGridComm Md Umar Hashmi, Arpan Mukhopadhyay, Ana Busic, Jocelyne Elias, Diego Kiedanski
2019	—	`conf`	Sensitivity to Forecast Errors in Energy Storage Arbitrage for Residential Consumers. SmartGridComm Diego Kiedanski, Md Umar Hashmi, Ana Busic, Daniel Kofman
2019	—	`conf`	Strategy-proof local energy market with sequential stochastic decision process for battery control. ISGT Diego Kiedanski, Daniel Kofman, José Horta, David Menga
2019	—	`conf`	The effect of ramp constraints on coalitional storage games. e-Energy Diego Kiedanski, Ariel Orda, Daniel Kofman
2019	—	`conf`	Youtube traffic from the perspective of a developing country: the case of Uruguay. INFOCOM Workshops Diego Kiedanski, Mateo Nogueira, Eduardo Grampín
2018	—	`conf`	Discovering Interconnections between Uruguay and the World Using Popular Internet Traffic. SSN Mateo Nogueira, Diego Kiedanski, Eduardo Grampín
2018	—	`conf`	The Atlas Vision of IPv6 in Latin America: Topology and Latency. LANC Diego Kiedanski, Eduardo Grampín, J. Ignacio Alvarez-Hamelin
2017	—	`conf`	Understanding Latin America IPv6 connectivity: A preliminary exploration. SCCC Diego Kiedanski, Eduardo Grampín