ICCS Main Track.- Synthesizing quantum circuits via numerical optimization.- Application of continuous time quantum walks to image segmentation.- Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning.- Multi-Source Manifold Outlier Detection.- A Fast kNN-based Approach for Time Sensitive Anomaly Detection over Data Streams.- n-gram Cache Performance in Statistical Extraction of Relevant Terms in Large Corpora.- Lung Nodule Diagnosis via Deep Learning and Swarm Intelligence.- Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection.- Machine learning for performance enhancement of molecular dynamics Simulations.- 2D-Convolution based Feature Fusion for Cross-Modal Correlation Learning.- DunDi: Improving Robustness of Neural Networks using Distance Metric Learning.- Autism Screening using Deep Embedding Representation.- Function and pattern extrapolation with product-unit networks.- Fast and Scalable Outlier Detection with Metric Access Methods.- Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India.- Data Analysis for Atomic Shapes in Nuclear Science.- A Novel Partition Method for Busy Urban Area Based on Spatial-Temporal Information.- Mention Recommendation with Context-aware Probabilistic Matrix Factorization.- Synchronization under control in complex networks for a panic model.- Personalized Ranking in Dynamic Graphs Using Nonbacktracking Walks.- An Agent-Based Model for Emergent Opponent Behavior.- Fine-Grained Label Learning via Siamese Network for Cross-modal Information Retrieval.- MeshTrust: A CDN-centric Trust Model for Reputation Management on Video Traffic.- Optimizing spatial accessibility of company branches network with Constraints.- Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks.- A Fast 3D Finite-element Solver for Large-scale Seismic Soil Liquefaction Analysis.- Performance Evaluation of Tsunami Inundation Simulation on SX-Aurora TSUBASA.- Parallel Computing for Module-Based Computational Experiment.- Heuristic Optimization with CPU-GPU Heterogeneous Wave Computing for Estimating Three-dimensional Inner Structure.- A Generic Interface for Godunov-type Finite Volume Methods on Adaptive Triangular Meshes.- Track of Agent-Based Simulations, Adaptive Algorithms and Solvers.- Distributed Memory Parallel Implementation of Agent Based Economic Models.- Augmenting Multi-Agent Negotiation in Interconnected Freight Transport Using Complex Networks Analysis.- Security-Aware Distributed Job Scheduling in Cloud Computing Systems: A Game-Theoretic Cellular Automata-based Approach.- Residual minimization for isogeometric analysis in reduced and mixed Forms.- CTCmodeler: an agent-based framework to simulate pathogen transmission along an inter-individual contact network in a hospital.- Socio-cognitive ACO in Multi-criteria Optimization.- Reconfiguration of the multi-channel communication system with hierarchical structure and distributed passive switching.- Multi-agent environment for decision support in production system using machine learning methods.- Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning.- Biclustering via Mixtures of Regression Models.- An Evaluation Metric for Content Providing Models, Recommender Systems and Online Campaigns.- Tolerance Near Sets and tNM Application in City Images.- Meta-Graph based Attention-aware Recommendation over Heterogeneous Information Networks.- Determining Adaptive Loss Functions and Algorithms for Predictive Models.- Adaptive Objective Functions and Distance Metrics for Recommendation Systems.- An Early Warning Method for Agricultural Products Price Spike Based on Artificial Neural Networks Prediction.- Predicting Heart Attack through Explainable Artificial Intelligence.- Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Syst