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2. Machine Learning Methods to Forecast Public Transport Demand Based on Smart Card Validations

3. Exploiting History Data for Nonstationary Multi-armed Bandit

4. Characterizing Air-Quality Data Through Unsupervised Analytics Methods

5. Towards Automated Visualisation of Scientific Literature

7. Discovering High-Utility Itemsets at Multiple Abstraction Levels

8. New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops

9. New Trends in Databases and Information Systems: Contributions from ADBIS 2013

10. Repeat Sequences in the Tomato Genome

11. Analysis of Twitter Data Using a Multiple-level Clustering Strategy

12. DCE-MRI Analysis Using Sparse Adaptive Representations

13. An Efficient Itemset Mining Approach for Data Streams

14. Learning Adaptive and Sparse Representations of Medical Images

15. Solanum sect. Lycopersicon

16. Analysis of Medical Pathways by Means of Frequent Closed Sequences

21. Sift and Sort: Climbing the Semantic Pyramid

22. Hypothesis Corroboration in Semantic Spaces with Swarming Agents

23. LSiX: A Scheme for Efficient Multiple Continuous Window Aggregation Over Streams

24. Using a Spatial Grid Model to Interpret Players Movement in Field Sports

25. NADA: NMF-Based Anomaly Detection in Adjacency-Matrices for Industrial Machine Log-Files

26. 'The Absence of Evidence is Not the Evidence of Absence': Fact Verification via Information Retrieval-Based In-Context Learning

27. Discovering Relationships Among Properties in Wikidata Knowledge Graph

28. Visual Transformers Meet Convolutional Neural Networks: Providing Context for Convolution Layers in Semantic Segmentation of Remote Sensing Photovoltaic Imaging

29. Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques

30. A Study on Database Intrusion Detection Based on Query Execution Plans

31. Open-Source Drift Detection Tools in Action: Insights from Two Use Cases

32. A Novel Technique for Query Plan Representation Based on Graph Neural Nets

33. QPAVE: A Multi-task Question Answering Approach for Fine-Grained Product Attribute Value Extraction

34. FairMC Fair–Markov Chain Rank Aggregation Methods

35. Effective Reward Schemes for Tardiness Optimization

36. Creating and Querying Data Cubes in Python Using PyCube

37. Dynamic Time Warping for Phase Recognition in Tribological Sensor Data

38. An E-Commerce Benchmark for Evaluating Performance Trade-Offs in Document Stores

39. Anomaly Detection from Time Series Under Uncertainty

40. Putting Co-Design-Supporting Data Lakes to the Test: An Evaluation on AEC Case Studies

41. Ada2vec: Adaptive Representation Learning for Large-Scale Dynamic Heterogeneous Networks

42. Comparison of Measures for Characterizing the Difficulty of Time Series Classification

43. Differentially-Private Neural Network Training with Private Features and Public Labels

44. Series2Graph++: Distributed Detection of Correlation Anomalies in Multivariate Time Series

45. Improving Serendipity for Collaborative Metric Learning Based on Mutual Proximity

46. Analyzing a Decade of Evolution: Trends in Natural Language Processing

47. Incremental SMOTE with Control Coefficient for Classifiers in Data Starved Medical Applications

48. Towards Regional Explanations with Validity Domains for Local Explanations

49. Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF

50. Exploring Causal Chain Identification: Comprehensive Insights from Text and Knowledge Graphs

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