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Reinforcement Learning for the occupant-centric operation of building energy systems: Theoretical and experimental investigations

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Reinforcement Learning for the occupant-centric operation of building energy systems: Theoretical and experimental investigations

Chat with Graph Search

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Optimizing Dynamic Aperture Studies with Active Learning

Predicting the long-term collective behaviour of fish pairs with deep learning

Incorporating Projective Geometry into Deep Learning

Social Opinion Formation and Decision Making Under Communication Trends

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Network time series forecasting in photovoltaics power production

An explorative method to support design decisions based on carbon constraints and daylight sufficiency needs

Involvement of prelimbic cortex neurons and related circuits in the acquisition of a cooperative learning by pairs of rats

Flash Melting Amorphous Ice

Unveiling the complexity of learning and decision-making

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

How to support students to develop coaching and peer teaching skills

Solar-assisted clean steam generator, a cleaner production approach for sustainable healthcare facilities

Topics in statistical physics of high-dimensional machine learning

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Decomposition method to evaluate district heating/cooling network potential at urban scale