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2. Machine Learning and Social Robotics for Detecting Early Signs of Dementia

3. Nonstandard Errors

4. Non-Standard Errors

5. Nonstandard Errors

6. Non-Standard Errors

7. Anomia in left hemisphere stroke, multiple sclerosis and Parkinson's disease – a comparative study.

9. The Compensatory Effect of Text-to-Speech Technology on Reading Comprehension and Reading Rate in Swedish Schoolchildren with Reading Disability: The Moderating Effect of Inattention and Hyperactivity Symptoms Differs by Grade Groups

15. COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum

16. Formal models for the energy-aware cloud-edge computing continuum : analysis and challenges

17. COGNIT: challenges and vision for a serverless and multi-provider cognitive cloud-edge continuum

18. Difference-in-differences with Economic Factors and the Case of Housing Returns

21. Non-Standard Errors

22. Longitudinal changes in functional connectivity in speech motor networks in apraxia of speech after stroke

23. Eye movements during reading and their relationship to reading assessment outcomes in Swedish elementary school children

24. The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges

25. Self-reported changes in everyday life and health of significant others of people with aphasia : a quantitative approach

26. The ASSISTANT project: AI for high level decisions in manufacturing

27. Domain Models and Data Modeling as Drivers for Data Management : The ASSISTANT Data Fabric Approach

28. Lessons learn on responsible AI implementation : the ASSISTANT use case

29. The Sovereign Debt Crisis: Flights or Freezes?

42. Assistant: Learning and robust decision support system for agile manufacturing environments

43. Non-Standard Errors

44. Multivariate Time Series Synthesis Using Generative Adversarial Networks

45. Non-standard errors

47. Evaluation of treatment effects of semantic feature analysis on mild anomia in multiple sclerosis.

50. Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke

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