Call for Papers
2024 the 7th International
Conference on Information Science and
Systems encourages the community of
multinational researchers to share their
common experiences and discussions. In the
history of the ICISS series, it has been
held six editions.
With the
support and acknowledgment from the
delegates of the past series, we wish to
pioneer a way to another outstanding event.
We invite high-quality submissions
describing significant, original, and
unpublished results related to but not
limited to any of the following topics:
CFP Flyer Download
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Track 1:
Machine Learning and Artificial
Intelligence - Deep Learning - Reinforcement Learning - Transfer Learning - Neural Networks - Bayesian Learning - Decision Trees - Evolutionary Computation |
Track 2: Data
Science and Analytics - Big Data Analytics - Data Mining - Data Warehousing - Statistical Methods - Optimization Techniques - Machine Learning for Analytics |
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Track 3:
Information Retrieval and
Knowledge Management - Information Retrieval Models - Web Search Engines - Recommendation Systems - Semantic Web - Ontology Engineering - Knowledge Representation and Reasoning |
Track 4:
Natural Language Processing and
Text Mining - Machine Translation - Text Classification - Sentiment Analysis - Named Entity Recognition - Text Summarization - Language Generation |
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Track 5:
Computer Vision and Image
Processing - Object Recognition - Image Segmentation - 3D Imaging - Video Analysis - Image and Video Retrieval - Pattern Recognition |
Track 6:
Human-Computer Interaction and
Usability - User Modeling and Personalization - User Interfaces and Interaction Design - Human Factors and Ergonomics - Accessibility - Augmented Reality and Virtual Reality |
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Track 7:
Internet of Things and
Cyber-Physical Systems - Sensor Networks - Wireless Sensor Networks - Smart Grids - Smart Homes - Cybersecurity and Privacy - Industrial IoT |
Track 8: Cloud
Computing and Distributed
Systems - Cloud Computing Architecture - Cloud Storage - Cloud Security - Grid Computing - Peer-to-peer Systems - Mobile Computing |
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Track 9:
Explainable Artificial
Intelligence and Interpretable Machine Learning - Model Interpretability - Explainability Metrics - Fairness and Accountability - Visual Explanations - Human-AI Collaboration |
Track 10:
Emerging Topics and Applications - Blockchain for Information Management - Quantum Information Science - Computational Social Science - Smart Cities and Urban Analytics - Healthcare Informatics - Financial Analytics |