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- Anomaly Detection in Time Series Data Using Generative Models (2 revisions)
- Evolving Kolmogorov-Arnold Networks (2 revisions)
- Smart Alarm (2 revisions)
- Optimisation Algorithm for Feature enginnering (2 revisions)
- Self-adaptive Recommender System In Conditional Context (2 revisions)
- Fair Conformal Prediction (2 revisions)
- Protein Language Models for drug discovery (2 revisions)
- FMC (2 revisions)
- Safety Assurance in Critical Automotive Control Systems: A Human-Centric and Standards-Compliant Approach (2 revisions)
- Explainable AI and poverty prediction (2 revisions)
- AI Enabled Service Market Logistics (2 revisions)
- Empowering Adult Learners and Educators through AI (2 revisions)
- Data Mining (7.5 credits) (2 revisions)
- SimpleText: Automatic Simplification of Scientific Texts (2 revisions)
- Improved networks for cloud-car communication (2 revisions)
- Mapping SFO mitigation/Linearization algorithms, trade-off between memory and computation on GPU (2 revisions)
- Collaboration with Bankomat 4 (2 revisions)
- Data Mining In a Warehouse Inventory (2 revisions)
- Meta-learning for Multivariate Signals (2 revisions)
- Analysis of multi-machine/multi-sensor data (2 revisions)
- XAI for time series data - collaboration with the mathematics and statistics dept. of the University of West Florida (2 revisions)
- Clock Glitch Attacks on Embedded IoT Devices: An FPGA-Based Exploration (2 revisions)
- Collaboration with Bankomat 2 (2 revisions)
- Road user behavior prediction (2 revisions)
- Learning Systems (7.5 credits) (2 revisions)
- Reinforcement learning for End-to-End autonomous driving (2 revisions)
- Deep Networks for Semantic Scene Understanding (2 revisions)
- Anomaly detection in district heating data - with the Elvaco company (2 revisions)
- Comprehending low-dimensional manifolds of temporal data from the home (2 revisions)
- Mining For Meanings In Robot Maps (2 revisions)
- Piglets Detection and Counting using Deep Neural Networks (2 revisions)
- Transfer Learning by Selection of Invariant Features (2 revisions)
- Constrained dynamic path planning for truck and trailer (2 revisions)
- Resolving Class Imbalance using Generative Adversarial Networks (2 revisions)
- Mooc Example Lecture (2 revisions)
- Digital Twin - AFRY (2 revisions)
- Lightweight foundation model for time series classification (2 revisions)
- Real-time bladder scanner (2 revisions)
- New postdoc position (2 revisions)
- Ideology and Power Identification in Parliamentary Debates (2 revisions)
- Conditional GAN for better embedding and generation of medical codes (2 revisions)
- Machine Unlearning Faithfulness with XAI (2 revisions)
- Two open positions (2 revisions)
- Machine Learning and LeadTime Prediction (2 revisions)
- Internal/Teaching AoOS (2 revisions)
- Stefan Karlsson/PersonalPage/Education/Matlab With ApplicationsV2 (2 revisions)
- The effect of contextual information on fuel consumption using Explainable AI! (2 revisions)
- Embedding DNN models on mobile robots for object detection (2 revisions)
- Christopher Nugent (2 revisions)
- Human Motion Analysis using Inertial Sensors (2 revisions)
