Brain-Computer Interfaces (BCI) and Human Signals
EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems
– Expert Systems with Applications
– Involves EEG-based interaction, core to HCI.
Multiclass EEG data classification using fuzzy systems
– IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
– Directly related to user-centered neurotechnology interfaces.
Motor imagery data classification for BCI application using wavelet packet feature extraction
– International Conference on Neural Information Processing (ICONIP)
– HCI through brain signal processing.
A fresh look at functional link neural network for motor imagery-based brain-computer interface
– Journal of Neuroscience Methods
– User-interfacing via BCI, within HCC.
Multivariate adaptive autoregressive modeling and Kalman filtering for motor imagery BCI
– IEEE Conference on Systems, Man, and Cybernetics (SMC)
– Cognitive interaction via EEG.
EEG signal analysis for BCI application using fuzzy system
– IEEE International Joint Conference on Neural Networks (IJCNN)
– Interfaces brain activity for interaction.
Emotion Recognition and Human Emotion-Centric AI
Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition
– IEEE Transactions on Multimedia
– Multimodal emotion recognition is HCC-oriented.
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition
– Expert Systems with Applications
– Voice interaction and user emotion understanding.
Meta-transfer learning for emotion recognition
– Neural Computing and Applications
– Human-centered affective computing.
Explainability, Safety, and Abuse Detection
Fine-tuning Llama 2 large language models for detecting online sexual predatory chats and abusive texts
– European Symposium on Artificial Neural Networks (ESANN )
– Sensitive human-AI interaction (HCI safety).
Large Language Models for Detection of Life-Threatening Texts
– Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
– AI for social impact, safety in human interaction.
Example-based explanations for streaming fraud detection on graphs
– Information Sciences
– Model explainability, a critical aspect of HCI trust.
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents
– arXiv Preprint
– Explainability ties into human interpretability.
Social and Interactive Systems
JUDO: Just-in-time rumour detection in streaming social platforms
– Information Sciences
– Social computing/HCI for trust in platforms.
Covid19-twitter: A Twitter-based Dataset for Discourse Analysis in Sentence-level Sentiment Classification
– ACM International Conference on Information and Knowledge Management (CIKM)
– Human-centered social media analytics.
Detecting rumours with latency guarantees using massive streaming data
– VLDB Journal
– Interactive and real-time systems with users.
Manipulating recommender systems: A survey of poisoning attacks and countermeasures
– ACM Computing Surveys
– Recommender systems are classic HCI research areas.
Vision Systems for HCI
Sensitive image classification by vision transformers
– IEEE International Conference on Systems, Man, and Cybernetics (SMC)
– Focus on sensitive content, demonstrating HCI/social impact.
Adaptive knowledge distillation for classification of hand images using explainable vision transformers
– European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
– Interaction with visual input, plus explainability.
Object detection approaches to identifying hand images with high forensic values
– IEEE International Conference on Systems, Man, and Cybernetics (SMC)
– Human hand detection connects to user interfaces/biometrics.