Frontmatter.
- Published in:
- I-com, 2020, v. 19, n. 3, p. I, doi. 10.1515/icom-2020-frontmatter1
- Publication type:
- Article
Works matching IS 1618162X AND DT 2020 AND VI 19 AND IP 3
Results: 9
1
2
Editorial.
- Published in:
- I-com, 2020, v. 19, n. 3, p. 169, doi. 10.1515/icom-2020-0028
- By:
- Publication type:
- Article
3
Examining Autocompletion as a Basic Concept for Interaction with Generative AI.
- Published in:
- I-com, 2020, v. 19, n. 3, p. 251, doi. 10.1515/icom-2020-0025
- By:
- Publication type:
- Article
4
Explainable AI and Multi-Modal Causability in Medicine.
- Published in:
- I-com, 2020, v. 19, n. 3, p. 171, doi. 10.1515/icom-2020-0024
- By:
- Publication type:
- Article
5
Demystifying Deep Learning: Developing and Evaluating a User-Centered Learning App for Beginners to Gain Practical Experience.
- Published in:
- I-com, 2020, v. 19, n. 3, p. 201, doi. 10.1515/icom-2020-0023
- By:
- Publication type:
- Article
6
Intelligent Questionnaires Using Approximate Dynamic Programming.
- Published in:
- I-com, 2020, v. 19, n. 3, p. 227, doi. 10.1515/icom-2020-0022
- By:
- Publication type:
- Article
7
Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics.
- Published in:
- I-com, 2020, v. 19, n. 3, p. 181, doi. 10.1515/icom-2020-0021
- By:
- Publication type:
- Article
8
Reflecting on Social Media Behavior by Structuring and Exploring Posts and Comments.
- Published in:
- I-com, 2020, v. 19, n. 3, p. 239, doi. 10.1515/icom-2020-0019
- By:
- Publication type:
- Article
9
How to Handle Health-Related Small Imbalanced Data in Machine Learning?
- Published in:
- I-com, 2020, v. 19, n. 3, p. 215, doi. 10.1515/icom-2020-0018
- By:
- Publication type:
- Article