Call for Papers

The organizers solicit previously unpublished papers offering novel research contributions in any aspect of machine learning, metaheuristics and their applications to dependable distributed systems.

The major areas of interest include, but are not limited to, the following topics:

Track 1: Machine Learning and Metaheuristics Techniques

  • Ant Colony Optimization
  • Bacterial Foraging Algorithm
  • Bat Algorithm
  • Bayesian Models and Methods
  • Case-Based Reasoning and Associative Memory
  • Cellular Automata & Artificial Immune Systems
  • Cognitive Modeling
  • Conceptional Learning and Clustering
  • Cooperative Machine Learning
  • Cuckoo Search
  • Decision Trees
  • Deep Learning
  • Distributed Machine Learning
  • Embedded Machine Learning
  • Ensemble Algorithms
  • Explanation-Based Learning
  • Feature Extraction and Classification
  • Firefly Algorithm
  • Genetic Programming
  • Greedy Randomized Adaptive Search Procedure
  • Guided Local Search & Fast Local Search
  • Harmony Search
  • Hybrid Metaheuristics
  • Indefinite Proximity Learning
  • Inductive Learning
  • Intelligent Water Drops Algorithm
  • Iterated Local Search
  • Kernel Machines
  • Learning through Fuzzy Logic
  • Linear/Logistic Regression
  • Memetic Algorithms
  • Memory-Based Optimization
  • Multi-Agent Learning
  • Multiobjective Optimization
  • Nearest Neighbours
  • Neural Network Learning
  • Online and Incremental Learning
  • Organisational Learning and Evolutional Learning
  • Parallel and Cooperative Metaheuristics
  • Photosynthetic and Enzyme Algorithm
  • Privacy-Aware Machine Learning
  • Random Forests
  • Reinforcement Learning
  • Rough Sets Theory
  • Secure Machine Learning Algorithms
  • Self-Organizing Maps
  • Simulated Annealing
  • Statistical and Evolutionary Learning
  • Stochastic Search
  • Support Vector Machines
  • Swarm Intelligence
  • Tabu Search
  • Time Series and Sequential Pattern Mining
  • Variable Neighborhood Search & Scatter Search

Track 2: Applications of Machine Learning and Metaheuristics Techniques in Dependable Distributed Systems

  • Autonomic Network Computing
  • Blockchain for Dependable Distributed Systems
  • Data Dissemination Schemes
  • Dependability and Adaptivity in Component-Based Systems
  • Dependability Benchmarking
  • Dependability in Cyber-Physical Systems and Internet-of-Things
  • Dependability in Distributed Embedded Systems
  • Dependability in Group Communication and Group Membership Services
  • Dependability in Serverless Computing
  • Dependability in Service-Oriented Architectures
  • Dependability Issues of Multi- and Manycore Systems
  • Dependability of Distributed Multimedia Systems
  • Dependability of Social Network Groups
  • Dependable Biocomputing
  • Dependable Communication Networks
  • Dependable Computing for Critical Applications
  • Dependable Digital Identity
  • Dependable Grid and Cloud Computing
  • Dependable High-Speed Wide, Local, and System Area Networks
  • Dependable Internet Servers
  • Dependable Mobile Computing
  • Dependable Peer-to-Peer Systems
  • Dependable Wireless Sensor Networks
  • Dependable Protocols for Distributed Systems
  • Dependable Quantum Computing
  • Dependable Routing
  • Distributed Data Management and Analytics
  • Distributed Green Computing and Energy Management
  • Distributed Measurement, Monitoring, and Predictions
  • Distributed Operating Systems and Middleware
  • Edge and Fog Computing
  • Energy Management and Green Distributed Computing
  • Experimental or Analytical Evaluations of Dependable Distributed Systems
  • Fault Tolerance, Reliability and Availability in Distributed Systems
  • Formal Methods and Foundations for Dependable Distributed Computing
  • High-Confidence and Safety-Critical Systems
  • Large-Scale Distributed Systems for Big Data
  • Mobile Sensing and Data Analysis
  • QoS Control and Assessment
  • Replication Models and Protocols
  • Resilience in Distributed Infrastructures
  • Secure and Dependable Web Services
  • Security, Privacy, Trust in Distributed Systems
  • Software-Defined Data Communications