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- ARISE (5 revisions)
- Fair representation learning of electronic health records (5 revisions)
- Data Heterogeneity in Federated Learning (5 revisions)
- On detecting deviations by autonomously discovering district heating control strategy used by buildings (5 revisions)
- Internal/DivaUsernames (5 revisions)
- Peter Mühlfellner (5 revisions)
- Halmstad University ranked 1st in the BTAS Cross-Spectrum Periocular Competition (5 revisions)
- Investigating Robustness of DNNs (4 revisions)
- Value of BIG DATA for Large Building Owners (4 revisions)
- Cargo ANTs (4 revisions)
- Modelling vehicles'/drivers' behaviour using LVD (4 revisions)
- Deep Decision Forest (4 revisions)
- Predicting Energy Consumption for Heavy-Duty Vehicles via Time Series Embeddings (in collaboration with Volvo) (4 revisions)
- CAISR Annual report 2014 (4 revisions)
- VBPM (4 revisions)
- Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance (4 revisions)
- Collaboration with Bankomat (4 revisions)
- Meta-learning for evaluation and implementation of predictive maintenance solution (4 revisions)
- Anita Sant'Anna (4 revisions)
- Four PhD student positions (4 revisions)
- Music style transfer (4 revisions)
- Forecast energy consumption in buildings to help Mestro customers save energy (4 revisions)
- Anomaly Detection for Predictive Maintenance with Elvaco (4 revisions)
- Behaviour modeling and classification of vehicles at a roundabout (4 revisions)
- Supervised/Unsupervised Electricity Customer Classification (4 revisions)
- Deep stacked ensemble (4 revisions)
- Object Tracking and Anticipation (4 revisions)
- Taha Khan (4 revisions)
- Research project iMedA in SVT news (4 revisions)
- Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment (4 revisions)
- Traffic Estimation From Vehicle Data (4 revisions)
- Understanding usage of Volvo trucks (4 revisions)
- Convolutional Neural Network (CNN) features behaviour in the context of textures (4 revisions)
- Application areas (4 revisions)
- Detecting changes in causal relations (4 revisions)
- Positioning of the user at the HINT (4 revisions)
- Leveraging LLMs for Clinical Note Annotation and Uncertainty Estimation (4 revisions)
- Labeling by spiral codes for invariant recognition of garbage bags (4 revisions)
- Thermal Detection of Subtle Human Cues for a Robot Magic Performance (4 revisions)
- Research (4 revisions)
- Gait analysis using wearable sensors in Parkinson's disease (4 revisions)
- Automatic Machine Learning (AUTO-AUTO-ENCODER!) (4 revisions)
- Surface normal estimation by Spiral Codes (4 revisions)
- Project with chargefinder.com (4 revisions)
- Smart City Monitoring Using Ontology-based Machine Learning (4 revisions)
- Effecient implementation of DL models on embedded platforms (4 revisions)
- Uncertainty-based fault detection (4 revisions)
- Thermal Profiling of Residential Energy Consumption for Heat Pump and District Heating Customers (4 revisions)
- Blockchain for polls and elections (4 revisions)
- PhD student position healthcare (4 revisions)
