Dirac-based Reduction Techniques for Quantitative Analysis of Discrete-time Markov Models -- Combining Machine and Automata Learning for Network Traffic Classification -- On the complexity of the upper r-tolerant edge cover problem -- Margin-based Semi-supervised Learning Using Apollonius circle -- Computing Boundary Cycle of a Pseudo-Triangle Polygon from its Visibility Graph -- Improved Algorithms for Distributed Balanced Clustering -- Finite Interval-Time Transition System for Real-Time Actors -- Path Planning with Objectives Minimum Length and Maximum Clearance.