Recent Trends and Future Technology in Applied Intelligence Malek Mouhoub

A Method for the Online Construction of the Set of States of a Markov Decision Process Using Answer Set Programming

Hardware/Software Co-design for Template Matching Using Cuckoo Search Optimization

Optimziation Methods for Beacon Based Foraging Algorithms

On Using “Stochastic Learning on the Line” to Design Novel Distance Estimation Methods

Data Mining and Knowledge Discovery

Person Re-identification Using Masked Keypoints

Knowledge Discovery Process for Detection of Spatial Outliers

Text Modeling Using Multinomial Scaled Dirichlet Distributions

A Comparison of Knee Strategies for Hierarchical Spatial Clustering

Credit Card Default Prediction as a Classification Problem

Interactive Discovery of Statistically Significant Itemsets

Sampling Community Structure in Dynamic Social Networks

Predicting Success of a Mobile Game: A Proposed Data Analytics-Based Prediction Model

Online Anomaly Detection Using Random Forest

Investigating Effectiveness of Linguistic Features Based on Speech Recognition for Storytelling Skill Assessment

Visual Analytics Based Authorship Discrimination Using Gaussian Mixture Models and Self Organising Maps: Application on Quran and Hadith

An Optimization Approach Based on Collective Correlation Coefficient for Biomarker Extraction in the Classification of Alzheimer’s Disease

Evolutionary Computation

Lazy Conflict Detection with Genetic Algorithms

An Algorithm for Combinatorial Double Auctions Based on Cooperative Coevolution of Particle Swarms

Partition Crossover Evolutionary Algorithm for the Team Orienteering Problem with Time Windows

A High Winning Opportunities Intraday Volatility Trading Method Using Artificial Immune Systems

Expert Systems and Robotics

Joint Angle Error Reduction for Humanoid Robots Using Dynamics Learning Tree

Closed-Loop Push Recovery for an Inexpensive Humanoid Robot

Robot Magic: A Robust Interactive Humanoid Entertainment Robot

A Probabilistic Model for Automobile Diagnosis System: Combi

Knowledge Representation

Socially-Aware Recommendation for Over-Constrained Problems

Formalizing Arguments From Cause-Effect Rules

Merging Guaranteed Possibilistic Bases to Rank IDS Alerts

Transformation Between CP-net and CPC-net

Machine Learning

Online Detection of Shill Bidding Fraud Based on Machine Learning Techniques

Efficient Examination of Soil Bacteria Using Probabilistic Graphical Models

Object Detection in Images Based on Homogeneous Region Segmentation

Optimization of Just-in-Time Adaptive Interventions Using Reinforcement Learning

EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection

Bayesian Learning of Finite Asymmetric Gaussian Mixtures

Multiple Water-Level Seawater Temperature Prediction Method for Marine Aquaculture

Substation Signal Matching with a Bagged Token Classifier

Meta-Heuristics

Cuckoo Search via Lévy Flight Applied to Optimal Water Supply System Design

Performance Evaluation of Particles Coding in Particle Swarm Optimization with Self-adaptive Parameters for Flexible Job Shop Scheduling Problem

Simulation-Based Comparison of P-Metaheuristics for FJSP with and Without Fuzzy Processing Time

Resolving the Manufacturing Cell Design Problem via Hunting Search

Improved Exploration and Exploitation in Particle Swarm Optimization

Optimizing Scale-Free Network Robustness with the Great Deluge Algorithm

Solving the MCDP Using a League Championship Algorithm

ACO-Based Measure for SYN Flooding Over Mobile Data Connectivity

Multi-Agent Systems

On Commitments Creation, Compliance and Violation

Online Learning for Patrolling Robots Against Active Adversarial Attackers

Perception of Fairness in Culturally Dependent Behavior: Comparison of Social Communication in Simulated Crowds Between Thai and Japanese Cultures

Simultaneous Exploration and Harvesting in Multi-robot Foraging

Natural Language Processing

Auto-detection of Safety Issues in Baby Products

Conversation Envisioning Framework for Situated Conversation

A Graph Based Approach to Sentiment Lexicon Expansion

Solving Simple Arithmetic Word Problems Precisely with Schemas

Neural Networks

The Effect of Sentiment on Stock Price Prediction

RFedRNN: An End-to-End Recurrent Neural Network for Radio Frequency Path Fingerprinting

A Quantitative Analysis Decision System Based on Deep Learning and NSGA-II for FX Portfolio Prediction

Towards Machine Learning Based IoT Intrusion Detection Service

Planning, Scheduling and Spatial Reasoning

A Spatio-Semantic Model for Agricultural Environments and Machines

Chromosome Mutation vs. Gene Mutation in Evolutive Approaches for Solving the Resource-Constrained Project Scheduling Problem (RCPSP)

Energy-Conserving Risk-Aware Data Collection Using Ensemble Navigation Network

Automatically Generating and Solving Eternity II Style Puzzles

Rough Sets

A Game-Theoretic Rough Set Approach for Handling Missing Data in Clustering

Scalable Implementations of Rough Set Algorithms: A Survey

Fuzzy Clustering Ensemble for Prioritized Sampling Based on Average and Rough Patterns

Detecting Overlapping Communities in Social Networks with Voronoi and Tolerance Rough Sets

Internet of Things (IoT), Ubiquitous Computing and Big Data

Multi-objective Optimization at the Conceptual Design Phase of an Office Room Through Evolutionary Computation

Data Analytics and Visualization for Connected Objects: A Case Study for Sleep and Physical Activity Trackers

Reliability-Aware Routing of AVB Streams in TSN Networks

Data Science, Privacy, and Security

A Comparative Study on Chrominance Based Methods in Dorsal Hand Recognition: Single Image Case

Frequency and Time Localization in Biometrics: STFT vs. CWT

An Evaluation of User Movement Data

Classifying Political Tweets Using Naïve Bayes and Support Vector Machines

Anti-spoofing Approach Using Deep Convolutional Neural Network

Sentiment Classification of Short Texts

Study on Data Anonymization for Deep Learning

Information Disclosure, Security, and Data Quality

Intelligent Systems Approaches in Information Extraction

Adapting Named Entity Types to New Ontologies in a Microblogging Environment

A Rough Set Approach to Events Prediction in Multiple Time Series

Efficient Versus Accurate Algorithms for Computing a Semantic Logic-Based Similarity Measure

Semantic Question Answering System Using Dbpedia

Identifying Similar Sentences by Using N-Grams of Characters

Performance Comparison of Intelligent Techniques Based Image Watermarking

Artificial Intelligence, Law and Justice

Case Law Analysis with Machine Learning in Brazilian Court

Meticulous Transparency—An Evaluation Process for an Agile AI Regulatory Scheme

Towards a New Approach to Legal Indexing Using Facets

Artificial Intelligence and Predictive Justice: Limitations and Perspectives

Identification of Sensitive Content in Data Repositories to Support Personal Information Protection

Erratum to: Recent Trends and Future Technology in Applied Int