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1. Coupling simulation and machine learning for predictive analytics in supply chain management.

2. An efficient and adaptive design of reinforcement learning environment to solve job shop scheduling problem with soft actor-critic algorithm.

3. A Topic-Based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews.

4. Machine learning algorithms for optimization of magnetocaloric effect in all-d-metal Heusler alloys.

5. Selecting relevant structural features for glassy dynamics by information imbalance.

6. Rate coefficients for C and O2 reactive collisions relevant to interstellar clouds from QCT and machine learning.

7. Inferring the existence of hydrogen bonds directly from statistical analysis of molecular dynamics trajectories.

8. Neural network-assisted model of interfacial fluids with explicit coarse-grained molecular structures.

9. Combining graph deep learning and London dispersion interatomic potentials: A case study on pnictogen chalcohalides.

10. A simple approach to rotationally invariant machine learning of a vector quantity.

11. Machine learning based methods for ratemaking health care insurance.

12. Machine Learning for Continuous-Time Finance.

13. Machine learning for thermal transport.

14. Double Mpemba effect in the cooling of trapped colloids.

15. Machine learning force field for thermal oxidation of silicon.

16. Toward a realistic theoretical electronic spectra of metal aqua ions in solution: The case of Ce(H2O)n3+ using statistical methods and quantum chemistry calculations.

17. Determining the chemical ordering in nanoalloys by considering atomic coordination types.

18. Band alignment of CoO(100)–water and CoO(111)–water interfaces accelerated by machine learning potentials.

19. Density isobar of water and melting temperature of ice: Assessing common density functionals.

20. Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning.

21. Machine learning for zombie hunting: predicting distress from firms' accounts and missing values.

22. Buying Future Endorsements from Prospective Influencers on User-Generated Content Platforms.

23. Multi-source AdaBoost with cross-weight method for virtual metrology in semiconductor manufacturing.

24. Few-shot learning for defect detection in manufacturing.

26. Empower Diversity in AI Development.

27. Belt and Braces: When Federated Learning Meets Differential Privacy.

28. Between the Booms: AI in Winter.

29. The Paradigm Shifts in Artificial Intelligence.

30. Pitfalls in Machine Learning for Computer Security.

31. Water quality polluted by total suspended solids classified within an Artificial Neural Network approach

32. Revealing the molecular structures of α-Al2O3(0001)–water interface by machine learning based computational vibrational spectroscopy.

33. A configuration sampling study of reaction intermediates constituting catalytic cycles for CO oxidation with Pt1/TiO2.

34. A configuration sampling study of reaction intermediates constituting catalytic cycles for CO oxidation with Pt1/TiO2.

35. Unraveling impacts of polycrystalline microstructures on ionic conductivity of ceramic electrolytes by computational homogenization and machine learning.

36. Magnetic tunnel junctions with superlattice barriers.

37. A machine-learning interatomic potential to study dry/wet oxidation process of silicon.

38. Machine learning assisted sorting of active microswimmers.

39. Adapting Machine Translation Engines to the Needs of Cultural Heritage Metadata.

40. Activating Our Intelligence: A Common-Sense Approach to Artificial Intelligence.

41. AI misinformation detectors can't save us from tyranny—at least not yet.

42. DISINFORMATION SPILLOVER: UNCOVERING THE RIPPLE EFFECT OF BOT-ASSISTED FAKE SOCIAL ENGAGEMENT ON PUBLIC ATTENTION.

43. Measuring Firm Complexity.

44. Not seeing the wood for the trees: Influences on random forest accuracy.

45. Multi-source adaptive thresholding adaboost with application to virtual metrology.

46. Performance of deep reinforcement learning algorithms in two-echelon inventory control systems.

47. Efficient low-carbon manufacturing for CFRP composite machining based on deep networks.

48. A hybrid LSTM method for forecasting demands of medical items in humanitarian operations.

49. A Change-Point Method to Detect Meaningful Change in Return-to-Sport Progression in Athletes.

50. Football Movement Profile–Based Creatine-Kinase Prediction Performs Similarly to Global Positioning System–Derived Machine Learning Models in National-Team Soccer Players.

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