PATTERNS 2027 - The Nineteenth International Conference on Pervasive Patterns and Machine Learning
March 07, 2027 - March 11, 2027
PATTERNS 2027
ISSN: 2308-3557
ISBN: 978-1-68558-489-4
PATTERNS 2027 is colocated with the following events as part of ComputationWorld 2027 Congress:
- SERVICE COMPUTATION 2027, The Nineteenth International Conference on Advanced Service Computing
- CLOUD COMPUTING 2027, The Eighteenth International Conference on Services, Tools, and Architectures for Cloud Computing
- FUTURE COMPUTING 2027, The Nineteenth International Conference on Future Computational Technologies and Applications
- COGNITIVE 2027, The Nineteenth International Conference on Advanced Cognitive Technologies and Applications
- ADAPTIVE 2027, The Nineteenth International Conference on Adaptive and Self-Adaptive Systems and Applications
- CONTENT 2027, The Nineteenth International Conference on Creative Content Technologies
- PATTERNS 2027, The Nineteenth International Conference on Pervasive Patterns and Machine Learning
- COMPUTATION TOOLS 2027, The Eighteenth International Conference on Computational Logics, Algebras, Programming, Tools, and Benchmarking
- BUSTECH 2027, The Seventeenth International Conference on Business Intelligence and Technology
- AIVR 2027, The Fourth International Conference on Artificial Intelligence and Immersive Virtual Reality
- CROSS-SEC 2027, The Second International Conference on Cross-Domain Security in Distributed, Intelligent and Critical Systems
PATTERNS 2027 Steering Committee
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Herwig Manaert
University of Antwerp
Belgium
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Srinath Perera
WSO2 Inc.
USA
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Herwig Manaert
University of Antwerp
Belgium
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Srinath Perera
WSO2 Inc.
USA
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PATTERNS 2027 conference tracks:
Foundations of knowledge and patterned intelligence
Knowledge representation paradigms; Formal ontologies and knowledge graphs; Pattern abstraction in symbolic systems; Cognitive models of structured reasoning; Data-to-knowledge transformation frameworks; Logic-based and probabilistic reasoning; Semantic modeling and pattern hierarchies; Explainable knowledge structures; Hybrid symbolic–statistical systems; Knowledge compression and abstraction; Learning structured representations; Theoretical foundations of pattern generalization
Patterns for combining LLM's with symbolic AI and other techniques
Discovering pattern languages with neuro-symbolic AI; LLMs as Pattern miners; Extracting design knowledge from text corpora; Tacit knowledge and formal patterns: Symbolic structuring with LLMs'; Pattern detection in visual systems: CNNs and pattern languages; Generative AI for evolving and refactoring pattern catalogs; Knowledge graphs as living pattern repositories; Explainable pattern discovery and neuro-symbolic systems; Retrieval-augmented pattern mining across heterogeneous sources; Constraint-based pattern validation with LLM assistance; Cross-domain pattern transfer by multimodal models; Human-in-the-Loop pattern discovery with hybrid AI; Statistical signals and design intent
Cognitive architectures and intelligent systems
Computational models of cognition; Cognitive pattern recognition; Memory architectures in AI systems; Attention mechanisms and cognitive filtering; Concept formation in machine learning; Human–AI cognitive interaction; Knowledge-driven learning; Cognitive bias in data-driven systems; Adaptive reasoning frameworks; Neurosymbolic architectures; Cognitive-inspired learning algorithms; AI systems modeling human reasoning
Patterns computation at work
Pattern logic and algebras; Pattern recognition; Pattern matching; Pattern languages; Patterns languages/models pitfalls; Pattern specification/modeling; Pattern validation; Pattern composition; Pattern reuse; Testing in pattern-based designed systems; Manageability and maintenance of pattern-based designed systems; Architecture, architectural design and the built environment; Discovering images ROI (Regions of Interest); Patterns of discovery; Predicting patterns - behavioral, structure, environment - ; Software patterns; Security patterns; Search patterns; Data mining for patterns; Query patterns; Knowledge patterns; Behavioral patterns; Reasoning patterns; Decision patterns; Communications patterns; Antipatterns and lessons learned
Data-centric intelligence and pattern discovery
Data modeling and representation learning; Pattern mining in large-scale datasets; Data quality and knowledge extraction; Causal discovery from data; Multimodal data fusion; Streaming data pattern analysis; Semantic enrichment of data; Data-driven hypothesis generation; Self-supervised learning; Data compression and structural patterns; Statistical pattern validation; Data governance for intelligent systems
Machine learning and patterns generalization
Deep learning architectures; Foundation models and large-scale learning; Pattern generalization theory; Transfer and meta-learning; Representation learning; Graph neural networks and relational patterns; Generative modeling; Reinforcement learning and decision patterns; Few-shot and zero-shot learning; Continual learning; Uncertainty quantification in ML; Learning under distribution shift
Knowledge-augmented and hybrid AI systems
Integrating symbolic and ML; Retrieval-augmented systems patterns; Knowledge-guided machine learning; Structured prompting and contextual learning; Ontology-enhanced neural models; Pattern reasoning in foundation models; Symbolic constraints in ML pipelines; Neuro-symbolic integration frameworks; Knowledge distillation; Explainable hybrid architectures; Knowledge transfer mechanisms; Pattern-grounded LLM systems; Trustworthy knowledge-aware AI patterns
Patterned decision and intelligent control
Actions and adaptation patterns; Decision patterns in AI systems; Cognitive control models; Adaptive learning systems; Knowledge-driven policy learning; Pattern-based optimization; Reinforcement learning patterns; Model-based vs data-driven control; Autonomous decision systems patterns; Context-aware decision frameworks; Uncertainty-aware control; Learning structured policies; Cognitive feedback loops
Distributed intelligence and Cloud-based learning
Scale and infrastructure patterns; Distributed machine learning; Federated knowledge systems; Data-centric cloud intelligence; Pattern processing in distributed systems; Foundation models in cloud infrastructures; Edge - cloud cognitive systems; Scalable knowledge graphs; Semantic orchestration in distributed environments; Model lifecycle management; Knowledge synchronization across nodes; AI-native cloud architectures; Energy-efficient distributed learning
Pattern recognition in complex systems
Systems complexity and ML; Pattern dynamics in complex networks; Cognitive modeling of complex behavior; Graph-based pattern discovery; Temporal pattern analysis; Anomaly detection in dynamic systems; Causal pattern inference; Knowledge extraction in biological systems; Emergent behavior modeling; Multi-scale pattern analysis; Complex adaptive systems; Pattern evolution modeling; Interdisciplinary pattern science
Human-centered knowledge and intelligent interaction patterns
Interaction and cognition; Cognitive UX in intelligent systems; Human-in-the-loop learning; Knowledge visualization; Explainability in AI; Interactive pattern discovery; Conversational knowledge systems; Cognitive load modeling; Trust and interpretability; Pattern-aware decision support; Social knowledge systems; Collaborative intelligence; AI for knowledge augmentation
System behavior patterns in intelligent and distributed systems
Behavioral Patterns in Distributed Systems; Emergent Patterns in Complex Adaptive Systems; Runtime Pattern Evolution and Drift; Feedback Loops in Learning Systems; Pattern Stability and Instability in Large-Scale Architectures; Self-Organizing System Behaviors; Temporal and Sequential Behavior Modeling; Behavioral Pattern Mining from System Logs; Control Patterns in Autonomous Systems; Cognitive Behavior Patterns in AI Systems; Pattern Formation in Multi-Layer Architectures; Resilience and Failure Patterns in Cloud and AI Systems
Application-oriented patterns
Medical and facial image patterns; Learning patterns of disabled/elderly; Malignancy-oriented pattern; User mobility patterns; Tracking human patterns; Pattern-based localization; Appearance-based gaze tracking patterns; Action/activity recognition patterns; Color and texture patterns; Social networking patterns; Behavioral autonomy patterns; Software reuse patterns; Intrusion attempt patterns; System management patterns; Visualization patterns; System abnormal behavior patterns
Domain-oriented patterns
Forensic patterns; Genomic patterns; Image patterns; Voice patterns; Speech patterns; Hand writing patterns; Text-embedded sentiment patterns; Emotion recognition patterns; Site access patterns; Service orchestration; Keyboard typing patterns; Financial/stock patterns; Shopping patterns; Dietary patterns; Global warming patterns; Job market patterns; Stock movement patterns; Investing patterns
Deadlines:
Submission | Nov 16, 2026 |
Notification | Jan 03, 2027 |
Registration | Jan 17, 2027 |
Camera ready | Jan 31, 2027 |
Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).