People


Diego Kiedanski

Diego Kiedanski
Institution: 
Office: 
50
Groups: 
Former PhD student

Books And Theses

Articles

Seasonal Average Temperature Forecast with the AutoGluonTS Modern AutoML Tool,
Diego Kiedanski, Pablo Rodriguez Bocca, Gerardo Rubino,
PKDD/ECML Workshops 2023, Torino, Italy
Fog Computing for Deep Learning with Pipelines,
Antero Vainio, Akrit Mudvari, Diego Kiedanski, Sasu Tarkoma, Leandros Tassiulas,
ICFEC 2023
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
Efficient distributed solutions for sharing energy resources at local level: a cooperative game approach,
Diego Kiedanski , Ana Bušić , Daniel Kofman , Ariel Orda,
CDC 2020 - 59th IEEE Conference on Decision and Control 2020, Jeju Island / Virtual, Korea, Republic of
Benchmarks for Grid Flexibility Prediction: Enabling Progress and Machine Learning Applications,
Diego Kiedanski , Lauren Kuntz, Daniel Kofman ,
International Conference on Learning Representations Workshop: "Tackling Climate Change with Machine Learning" 2020, Addis Ababaa, Ethiopia

Journal articles

Bias in Deep Neural Networks in Land Use Characterization for International Development,
Do Hyung Kim, Guzman López, Diego Kiedanski, Iyke Maduako, Braulio Rios, Alan Descoins, Naroa Zurutuza, Shilpa Arora, Christopher Fabian,
Remote. Sens. 2021
Generated using minifold and minifold-lincs at 2025-03-31 17:01.