An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures (Accepted in IJCNN'2025, Wokshop: AI for a Cooler Planet: Tackling Environmental Challenges with Neural Networks): Published in the Workshop "AI for a Cooler Planet:
An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures (Accepted in IJCNN'2025, Wokshop: AI for a Cooler Planet: Tackling Environmental Challenges with Neural Networks): Published in the Workshop "AI for a Cooler Planet:
Gerardo Rubino, Diego Kiedanski, Pablo Rodríguez‐Bocca, Sebastián Basterrech et al.
Journal
SPIRE - Sciences Po Institutional REpository
Topics
Hydrological Forecasting Using AI
article
An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures (Accepted in IJCNN'2025, Wokshop: AI for a Cooler Planet: Tackling Environmental Challenges with Neural Networks): Published in the Workshop "AI for a Cooler Planet:
Gerardo Rubino, Diego Kiedanski, Pablo Rodríguez‐Bocca, Sebastián Basterrech, Soledad Collazo, Guillermo Pereira
Ask Laika to Summarize, Analyze, and Connect papers live on the map.
Summarize Papers & Methodologies
Extract key findings, datasets, and comparative methods across publications.
Benchmark Rankings & Visual Analytics
Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.
Connect Distant Disciplines
Bridge topological clusters on the map to find hidden collaborative intersections.
An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures (Accepted in IJCNN'2025, Wokshop: AI for a Cooler Planet: Tackling Environmental Challenges with Neural Networks): Published in the Workshop "AI for a Cooler Planet: — Gerardo Rubino, Diego Kiedanski, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS