The 7th International Conference on Information Science and Systems (ICISS 2024)

The 7th International Conference on Information Science and Systems (ICISS 2024) covers topics such as:

• Data Science and Analytics
  • Data Mining
  • Big Data Analytics
  • Statistical Methods
  • Data Warehousing
  • Machine Learning for Analytics
  • Optimization Techniques
• Machine Learning and Artificial Intelligence
  • Reinforcement Learning
  • Deep Learning
  • Neural Networks
  • Transfer Learning
  • Decision Trees
  • Bayesian Learning
  • Evolutionary Computation
• Natural Language Processing and Text Mining
  • Text Classification
  • Machine Translation
  • Named Entity Recognition
  • Sentiment Analysis
  • Language Generation
  • Text Summarization
• Information Retrieval and Knowledge Management
  • Web Search Engines
  • Information Retrieval Models
  • Semantic Web
  • Recommendation Systems
  • Knowledge Representation and Reasoning
  • Ontology Engineering
• Human-Computer Interaction and Usability
  • User Interfaces and Interaction Design
  • User Modeling and Personalization
  • Accessibility
  • Human Factors and Ergonomics
  • Augmented Reality and Virtual Reality
• Computer Vision and Image Processing
  • Image Segmentation
  • Object Recognition
  • Video Analysis
  • 3D Imaging
  • Pattern Recognition
  • Image and Video Retrieval
• Cloud Computing and Distributed Systems
  • Cloud Storage
  • Cloud Computing Architecture
  • Grid Computing
  • Cloud Security
  • Mobile Computing
  • Peer-to-peer Systems
• Internet of Things and Cyber-Physical Systems
  • Wireless Sensor Networks
  • Sensor Networks
  • Smart Homes
  • Smart Grids
  • Industrial IoT
  • Cybersecurity and Privacy
• Emerging Topics and Applications
  • Quantum Information Science
  • Blockchain for Information Management
  • Smart Cities and Urban Analytics
  • Computational Social Science
  • Financial Analytics
  • Healthcare Informatics
• Explainable Artificial Intelligence and
  • Model Interpretability
  • Interpretable Machine Learning
  • Fairness and Accountability
  • Explainability Metrics
  • Human-AI Collaboration
  • Visual Explanations