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IDSI
Israel Data Science Initiative

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    • “Micro Masters” in AI
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        • Helmholtz’ data science Projects
          • 1. Machine learning based attribution of flood risk trends 
          • 2. Quantum machine learning for remote sensing
          • 3. Validation of earth observation data product
          • 4. Curvature based segmentation in microscopic images of the human brain
          • 5. Multi-source data fusion for rapid flood mapping
          • 6. Optimization of data distribution
          • 7. Automatic Meta Data Generation
          • 8. Software vulnerability detection using deep learning
          • 9. Repository Mining of Models
          • 10. Tell-me-what-they-liked
          • 11. Quality Prediction for Welding
          • 12. Large Scale Transfer Learning applied to X-Ray based COVID-19 diagnostics
            • Blog post – Jenia Jitsev, Mehdi Cherti
          • 13. Multiple Instance Learning-based MHC-I Epitope Prediction
          • 14. Magma production of terrestrial planets
          • 15. Predicting cognitive performance from brain images
          • 16. Image processing & segmentation for machine learning evaluation
          • 17. Explainable AI (XAI) Approach to Support Explainability of Complex Classifiers
          • 18. Using data science to extract submesoscale features from high-resolution aerial remote sensing data
          • 19. Ontology Characterization
          • 20. Automated detection of multi-class membrane proteins in cryo-ET
          • 21. Predicting temperature dependent solar-module performance
            • Blog post – Klaus Jäger
          • 22. Machine learning for railway vehicle and track monitoring
          • 23. Development of a Surrogate Model for Matter under Extreme Conditions
          • 24. Brain structure-function association and complexity
          • 25. Neural network approach to the reverse transformation of spin-wave theory
          • 26. Data preparation und analysis of greenhouse telemetry data
            • Blog post – Julia Niebling
          • 27. Adhoc MAP uncertainties for normalizing flows
          • 28. Requirements for a training set to achieve the desired level of performance in detection of anomalous railway switch condition
          • 29. Statistical compositional data science for microbiome data
          • 30. Deep learning and mathematical modelling in hematopathology
          • 31. ML for the identification of Lagrangian flow features
          • 32. Open-source R Package for modelling data with continuous piecewise linear functions
          • 33. Wait, What? Discovering Surprising Commonsense Aspects of a Knowledge Graph
  • Events
    • IDSI Events and Seminars
      • IDSI 2022 – The First International IDSI Conference
      • NLP Workshop – 24.6.21
        • NLP Workshop – Registration
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Homepage > International Collaboration

International Collaboration

 

Open Science

Hemholtz Information & Data Science Academy

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Upcoming Events

Helmholtz Data Science Career Day – 22/9/21

Annual meeting of the Israeli Seminar on Computational Linguistics (ISCOL), (DSRC@BGU)  – 7/10/21

Representation of Datasets and Machine Learning Pipelines for Metalearning and AutoML Optimization – 19/10/21

Defining and Evaluating Explainable Artificial Intelligence (XAI) – 2/11/21

AI for Software Quality Assurance – 9/11/21

Generating Tips from Product Reviews – 23/11/21

Automatic features engineering from external information sources – 30/11/21

The First International IDSI Conference – 3-6/1/2022


Complete List of Seminars

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