Machine Learning Group at University of Amsterdam
GPTKB entity
Properties (64)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Research_Institute
|
| gptkbp:affiliatedWith |
gptkb:University_of_Amsterdam
|
| gptkbp:collaboratesWith |
Industry Partners
|
| gptkbp:conductsResearchOn |
Artificial Intelligence
|
| gptkbp:contributedTo |
Open Source Projects
|
| gptkbp:developer |
Data Analysis
|
| gptkbp:engagesIn |
Interdisciplinary_Research
|
| gptkbp:focusesOn |
Machine Learning
|
| gptkbp:hasCollaborationsWith |
Other Universities
|
| gptkbp:hasMember |
Researchers
Students |
| gptkbp:hasPublications |
Machine Learning
|
| gptkbp:hasResearchInterest |
gptkb:Multi-Agent_Systems
gptkb:Quantum_Machine_Learning Anomaly Detection Bioinformatics Computational Neuroscience Data Mining Data Visualization Dimensionality Reduction Game Theory Image Processing Neural Networks Reinforcement Learning Robotics Speech Recognition Supervised Learning Unsupervised Learning Causal Inference Predictive Modeling Transfer Learning Optimization Techniques AI in Education Generative Models Ethics in AI Explainable AI Graphical Models Feature Selection Statistical Learning Clustering Techniques AI for Social Good Adversarial Learning AI in Art Federated Learning Big_Data Human-Computer_Interaction Time_Series_Analysis Recommender_Systems Social_Network_Analysis |
| gptkbp:hostsEvents |
Workshops
|
| https://www.w3.org/2000/01/rdf-schema#label |
Machine Learning Group at University of Amsterdam
|
| gptkbp:isLocatedIn |
gptkb:Amsterdam
|
| gptkbp:isPartOf |
Faculty_of_Science
|
| gptkbp:offersCoursesIn |
Machine Learning
|
| gptkbp:offersDegree |
Machine Learning
|
| gptkbp:offersWorkshopsOn |
Machine Learning Techniques
|
| gptkbp:participatesIn |
Conferences
|
| gptkbp:publishes |
Academic_Journals
|
| gptkbp:receivesFundingFrom |
Grants
|
| gptkbp:researchInterest |
Finance
Healthcare Natural Language Processing Computer_Vision |
| gptkbp:utilizes |
Deep_Learning_Techniques
|