211 results on '"Andrzej Janusz"'
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2. Predicting Frags in Tactic Games at KnowledgePit.ai: ICME 2023 Grand Challenge Report.
3. Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations.
4. Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction.
5. On Several New Dempster-Shafer-Inspired Uncertainty Measures Applicable for Active Learning.
6. IEEE BigData Cup 2023 Report: Object Recognition with Muon Tomography Using Cosmic Rays.
7. Cybersecurity Threat Detection in the Behavior of IoT Devices: Analysis of Data Mining Competition Results.
8. Prescriptive Analytics for Optimization of FMCG Delivery Plans.
9. Data-Driven Resilient Supply Management Supported by Demand Forecasting.
10. IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images.
11. EVEAL - Expected Variance Estimation for Active Learning.
12. KnowledgePit Meets BrightBox: A Step Toward Insightful Investigation of the Results of Data Science Competitions.
13. Predicting the Costs of Forwarding Contracts: Analysis of Data Mining Competition Results.
14. Diagnostic Explainability by BrightBox.
15. Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players.
16. Predicting Victories in Video Games - IEEE BigData 2021 Cup Report.
17. Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial - Extended Abstract).
18. On Positive-Correlation-Promoting Reducts.
19. Predicting Escalations in Customer Support: Analysis of Data Mining Challenge Results.
20. Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit.
21. A practical study of methods for deriving insightful attribute importance rankings using decision bireducts.
22. BrightBox - A rough set based technology for diagnosing mistakes of machine learning models.
23. IEEE BigData 2019 Cup: Suspicious Network Event Recognition.
24. Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction.
25. How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics.
26. SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players.
27. Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images.
28. Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games.
29. Investigating Similarity between Hearthstone Cards: Text Embeddings and Interchangeability Approaches.
30. Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition.
31. Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms.
32. Schema matching using Gaussian mixture models with Wasserstein distance.
33. Method for leak detection and location for gas networks
34. Toward Interactive Attribute Selection with Infolattices - A Position Paper.
35. On the role of feature space granulation in feature selection processes.
36. ISMIS 2017 Data Mining Competition: Trading Based on Recommendations.
37. Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge.
38. A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines.
39. Predicting seismic events in coal mines based on underground sensor measurements.
40. Decision bireducts and decision reducts - a comparison.
41. The influence of HIP process on critical parameters of MgB2/Fe wires with big boron grains and without barriers
42. Knowledge Pit - A Data Challenge Platform.
43. Mining Data from Coal Mines: IJCRS'15 Data Challenge.
44. Rough Set Tools for Practical Data Exploration.
45. Computation of Approximate Reducts with Dynamically Adjusted Approximation Threshold.
46. Tagging Firefighter Activities at the emergency scene: Summary of AAIA'15 data mining competition at knowledge pit.
47. Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning.
48. Assessment of data granulations in context of feature extraction problem.
49. A Resemblance Based Approach for Recognition of Risks at a Fire Ground.
50. Adaptive Learning for Improving Semantic Tagging of Scientific Articles.
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