The Nineteenth International Conference on Pervasive Patterns and Machine Learning

PATTERNS 2027

March 07, 2027 to March 11, 2027 - Barcelona, Spain

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).

Publication

Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

Affiliated Journals

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

Herwig Manaert
University of Antwerp
Belgium


Srinath Perera
WSO2 Inc.
USA


Herwig Manaert
University of Antwerp
Belgium


Srinath Perera
WSO2 Inc.
USA


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).

Technical Co-Sponsors and Logistic Supporters