Intro
Preface
Contents
Training and Diagnosis of Retinal OCT Images with Auxiliary Data Using TripleGAN When Imbalanced Class Occurs
1 Introduction
2 Background
3 Related Works
4 Materials and Method
5 Results
6 Conclusion
References
A Context-Aware Street Light System Based on Multi-variate Forecast and Fuzzy Logic
1 Introduction
2 System Description
3 Solar Irradiation Prediction
3.1 Solar Irradiation Data and Metrics
3.2 Forecast Models
3.3 Forecast Results
4 System Assessment
5 Conclusion
References

Using Smartphone Sensing for Recognition of Game Player Attributes During Gameplay
1 Introduction
1.1 Major Contributions
1.2 Paper Organization
2 Proposed Methodology
2.1 Data Acquisition and Pre-processing
2.2 Feature Extraction and Selection
2.3 Attribute Classification
3 Analysis of Results
3.1 Analysis of Expertise Level Classification
3.2 Analysis of Gender Classification
3.3 Analysis of Game Player Classification
3.4 Discussions
4 Conclusions
References
ESSL-Polyp: A Robust Framework of Ensemble Semi-supervised Learning in Polyp Segmentation

1 Introduction
2 Related Work
2.1 Polyp Segmentation
2.2 Semi Supervised Learning for Semantic Segmentation
2.3 Ensemble Learning
2.4 Encoder-Decoder Architecture
3 Proposed Method
3.1 Data Separation
3.2 Training k Semi-Supervised Models
3.3 Ensemble Semi-supervised Models
4 Dataset and Experiments Setup
4.1 Dataset
4.2 Evaluation Metrics
4.3 Implementation Details
5 Result of Experiments
5.1 Ablation Studies
5.2 Comparison with State-of-the-Art Methods
6 Conclusion and Future Works
References

Data-Driven Design of an Active Wake Steering Control for a Wind Farm Benchmark
1 Introduction
2 Hybrid Model- and Learning-Based Control Method
3 Wind Farm Simulator
4 Simulation Results
4.1 Hardware-in-the-Loop Validation
5 Conclusion
References
Design Principles for Interactive and Reflective Journaling with AI
1 Introduction
2 Background
2.1 Journaling and Interaction Design
2.2 Designing for Reflection
2.3 Conversational Agents
2.4 Design Guidelines and Principles
3 Methodology
4 Results
4.1 The Whys of Journaling

4.2 The Aesthetics of Journaling
4.3 The Act of Writing
4.4 Supporting Reflective Practice
4.5 Journaling to Remember and to Forget
4.6 Journaling and Conversations
4.7 Ubiquitous, Interactive Journaling
5 Human-AI Interaction Design Principles for Interactive Journaling
6 Concluding Discussions
6.1 Supporting Collaborations and Reflections
6.2 Encouraging Personal Expressions and Aesthetics
6.3 Acting as a Patient Confidant
6.4 Conversational Cultures and Journaling
6.5 Ethical Aspects of Journaling with AI
7 Conclusions
References