42 results on '"ElShawi, Radwa"'
Search Results
2. AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks
3. AutoMLBench: A comprehensive experimental evaluation of automated machine learning frameworks
4. Automated Machine Learning: State-of-The-Art and Open Challenges
5. Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region
6. Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
7. Automated Machine Learning: Techniques and Frameworks
8. DLBench: a comprehensive experimental evaluation of deep learning frameworks
9. Centralized Automated Machine Learning
10. Distributed and Cloud-Based Automated Machine Learning
11. ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision
12. Empowering Machine Learning with Scalable Feature Engineering and Interpretable AutoML
13. Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
14. Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project)
15. The impact of digoxin on mortality in patients with chronic systolic heart failure: A propensity-matched cohort study
16. ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision
17. On Characterizing the Performance of Distributed Graph Computation Platforms
18. On the interpretability of machine learning-based model for predicting hypertension
19. BigFeat: Scalable and Interpretable Automated Feature Engineering Framework
20. TPE-AutoClust: A Tree-based Pipline Ensemble Framework for Automated Clustering
21. cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering
22. Big Data 2.0 Processing Systems: Taxonomy and Open Challenges
23. cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering
24. Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality.
25. Interpretability in healthcare: A comparative study of local machine learning interpretability techniques
26. D-SmartML: A Distributed Automated Machine Learning Framework
27. A Decision Support Framework for AutoML Systems: A Meta-Learning Approach
28. Interpretability in healthcare: A comparative study of local machine learning interpretability techniques.
29. Predictors of in-hospital length of stay among cardiac patients: A machine learning approach
30. DLBench: An Experimental Evaluation of Deep Learning Frameworks
31. Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project
32. Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project
33. USING MACHINE LEARNING TO DEFINE THE ASSOCIATION BETWEEN CARDIORESPIRATORY FITNESS AND ALL-CAUSE MORTALITY: THE FIT (HENRY FORD EXERCISE TESTING) PROJECT
34. A distributed query execution engine of big attributed graphs
35. On Analyzing the Impact of Authors and Their Collaboration Patterns in the Major Computer Algorithms Research Conferences
36. International conferences on computer system: Analysis of EuroSys, SOSP, and OSDI during 2006-2014
37. A Cloud-Based Platform for Democratizing and Socializing the Benchmarking Process
38. An Anti-Pattern-based Runtime Business Process Compliance Monitoring Framework
39. Runtime detection of business process compliance violations
40. Big Data Processing Systems: State-of-the-Art and Open Challenges
41. Big Graph Processing Systems: State-of-the-Art and Open Challenges
42. Shortest Path in Transportation Network and Weighted Subdivisions
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.