• Sensor Fusion and Decision-making in the Cooperative Search by Mobile Robots
  • Validation of Evacuation Decision Model: An Attempt to Reproduce Human Evacuation Behaviors during the Great East Japan Earthquake
  • Ontology-based Open Multi-agent Systems for Adaptive Resource Management
  • An Evaluation Framework for Future Privacy Protection Systems: A Dynamic Identity Ecosystem Approach
  • Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information
  • Multiagent System for Community Energy Management
  • DMTF: A Distributed Algorithm for Multi-team Formation
  • Balancing Selfishness and Efficiency in Mobile Ad-hoc Networks: An Agent-based Simulation
  • Peer-to-peer Energy Trading for Smart Energy Communities
  • Multi-agent Modeling Simulation of In-vitro T-cells for Immunologic Alternatives to Cancer Treatment
  • Multi-model Adaptive Learning for Robots Under Uncertainty
  • Agents and Multi-agent Systems as Actor-networks
  • Modeling the Willingness to Interact in Cooperative Multi-robot Systems
  • Pooling of Heterogeneous Computing Resources: A Novel Approach based on Multi-Edge-Agent Concept
  • Quorum Sensing Re-evaluation Algorithm for N-Site Selection in Autonomous Swarms
  • An Agent-based System for Truck Dispatching in Open-pit Mines
  • An Extended Multi-agent Coalitions Mechanism with Constraints
  • Real-time Sign Detection and Recognition for Self-driving Mini Rovers based on Template Matching and Hierarchical Decision Structure
  • An OAuth-based Authentication Mechanism for Open Messaging Interface Standard
  • Pursuit-evasion with Decentralized Robotic Swarm in Continuous State Space and Action Space via Deep Reinforcement Learning
  • Fools Rush In: Competitive Effects of Reaction Time in Automated Trading
  • Taking Inventory Changes into Account While Negotiating in Supply Chain Management
  • The Effect of Well-informed Minorities and Meritocratic Learning in Social Networks
  • Nash Equilibria in Multi-Agent Swarms
  • Agent-Based Model Application for Resource Management Analysis
  • What Does Multi-agent Path-finding Tell Us About Intelligent Intersections
  • Management of Intelligent Vehicles: Comparison and Analysis
  • Effects of Agents’ Embodiment and Robot Anxiety Scale on Social Priming
  • Affordable Remote Terminal for Sensor Observation Service
  • Learning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning
  • Reaching Agreement in an Interactive Group Recommender System
  • Perception and Acceptance of an Autonomous Refactoring Bot
  • Towards a Generic Framework for a Health Behaviour Change Support Agent
  • Quality Evaluation of the Occupancy Grids without Ground Truth Maps
  • Reinforcement Learning Considering Worst Case and Equality within Episodes
  • Q-Credit Card Fraud Detector for Imbalanced Classification using Reinforcement Learning
  • Towards a Cyber-physical Systems Resilience Approach based on Artificial Emotions and Multi-agent Systems
  • Machine Learning to Geographically Enrich Understudied Sources: A Conceptual Approach
  • A Multiagent Framework for Querying Distributed Digital Collections
  • Page Boundary Extraction of Bound Historical Herbaria
  • Transfer Learning for Digital Heritage Collections: Comparing Neural Machine Translation at the Subword-level and Character-level
  • Assessing the Impact of OCR Quality on Downstream NLP Tasks
  • An Ontology-based Approach for Building and Querying ICH Video Datasets
  • Content Adaptation, Personalisation and Fine-grained Retrieval: Applying AI to Support Engagement with and Reuse of Archival Content at Scale
  • Human-agents Interactions in Multi-Agent Systems: A Case Study of Human-UAVs Team for Forest Fire Lookouts
  • A User Independent Method for Identifying Hand Gestures with sEMG
  • Development of Agents that Create Melodies based on Estimating Gaussian Functions in the Pitch Space of Consonance
  • Capture of Multi Intruders by Cooperative Multiple Robots using Mobile Agents
  • Human-agent Explainability: An Experimental Case Study on the Filtering of Explanations
  • Mitigating Vocabulary Mismatch on Multi-domain Corpus using Word Embeddings and Thesaurus
  • Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
  • Integrating Special Rules Rooted in Natural Language Semantics into the System of Natural Deduction
  • Learning Domain-specific Grammars from a Small Number of Examples
  • Disambiguating Confusion Sets in a Language with Rich Morphology
  • Text Processing Procedures for Analysing a Corpus with Medieval Marian Miracle Tales in Old Swedish
  • Keyword Extraction in German: Information-theory vs. Deep Learning
  • Unsupervised Statistical Learning of Context-free Grammar
  • Learning to Determine the Quality of News Headlines
  • On Satisfisfiability Modulo Theories in Continuous Multi-Agent Path Finding: Compilation-based and Search-based Approaches Compared
  • Leveraging Clustering and Natural Language Processing to Overcome Variety Issues in Log Management
  • An AI using Construction Grammar: Automatic Acquisition of Knowledge about Words
  • Approximate Conditional Independence Test using Residuals
  • Implementation of a Memetic Algorithm to Optimize the Loading of Kilns for the Sanitary Ware Production
  • An Extended Description Logic for Inconsistency-tolerant Ontological Reasoning with Sequential Information
  • Discrete Focus Group Optimization Algorithm for Solving Constraint Satisfaction Problems
  • Exploring Properties of the Instant Insanity Puzzle with Constraint Satisfaction Approach
  • Sentiment Analysis of Serious Suicide References in Twitter Social Network
  • Detecting Bidding Fraud using a Few Labeled Data
  • Scaling up Probabilistic Inference in Linear and Non-linear Hybrid Domains by Leveraging Knowledge Compilation
  • Winventor: A Machine-driven Approach for the Development of Winograd Schemas
  • AI 3D Printing Process Parameters Optimization
  • Evaluation of Reinforcement Learning Methods for a Self-learning System
  • Classification, Localization and Captioning of Dangerous Situations using Inception-v3 Network and CAM
  • Topological Visualization Method for Understanding the Landscape of Value Functions and Structure of the State Space in Reinforcement Learning
  • Intelligent Roundabout Insertion using Deep Reinforcement Learning
  • Subjective Markov Process with Fuzzy Aggregations
  • Inferring Underlying Manifold of Low Density Data using Adaptive Interpolation
  • Towards Analysing the Sentiments in the Field of Automobile with Specific Focus on Arabic Language Text
  • VMRFANet: View-specific Multi-Receptive Field Attention Network for Person Re-identification
  • Search for Robust Policies in Reinforcement Learning
  • Adaptive Enhancement of Swipe Manipulations on Touch Screens with Content-awareness
  • Stable Feature Selection for Gene Expression using Enhanced Binary Particle Swarm Optimization
  • Cohesion as a Tool for Maintaining the Functional Integrity of a Multi-agent System
  • Bayesian Networks based Policy Making in the Renewable Energy Sector
  • Transgenic Genetic Algorithm to Minimize the Makespan in the Job Shop Scheduling Problem
  • Temporal Cognitive Maps
  • Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application
  • Predicting a Song Title from Audio Embeddings on a Pretrained Image-captioning Network
  • Conversational Scaffolding: An Analogy-based Approach to Response Prioritization in Open-domain Dialogs
  • MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network
  • Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification
  • Two-streams Fully Convolutional Networks for Abnormal Event Detection in Videos
  • Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning
  • Mitigate Catastrophic Forgetting by Varying Goals
  • Improving Face Recognition Methods based on POEM Features
  • Deep Learning of Heuristics for Domain-independent Planning
  • Exploration and Exploitation of Sensorimotor Contingencies for a Cognitive Embodied Agent
  • Progressive Training in Recurrent Neural Networks for Chord Progression Modeling
  • An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management
  • Improving Semantic Similarity of Words by Retrofitting Word Vectors in Sense Level
  • Design of Scenario-based Application-optimized Data Replication Strategies through Genetic Programming
  • High-performance Algorithms using Deep Learning in Turn-based Strategy Games
  • Measuring Student Emotions in an Online Learning Environment
  • Sentence Compression on Domains with Restricted Labeled Data Availability
  • Model Smoothing using Virtual Adversarial Training for Speech Emotion Estimation using Spontaneity
  • The Bias-Expressivity Trade-off
  • Recognition of Online Handwritten Gurmukhi Strokes using Convolutional Neural Networks
  • Hair Shading Style Transfer for Manga with cGAN
  • Combining Video and Wireless Signals for Enhanced Audience Analysis
  • GETS: Grammatical Evolution based Optimization of Smoothing Parameters in Univariate Time Series Forecasting
  • Bee2Fire: A Deep Learning Powered Forest Fire Detection System
  • Effects of Region Features on the Accuracy of Cross-database Facial Expression Recognition
  • Information Preserving Discriminant Projections
  • Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance
  • A Markerless Joint Detection through a Hand Geometric Representation
  • Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled
  • Comparing Business Process Ontologies for Task Monitoring
  • Improving RNN-based Answer Selection for Morphologically Rich Languages
  • Revisiting End-to-end Deep Learning for Obstacle Avoidance: Replication and Open Issues
  • Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures
  • Adaptive Modelling of Fed-batch Processes with Extreme Learning Machine and Recursive Least Square Technique
  • NARMA-L2-based Antiviral Therapy for Infected CD4+ T Cells in a Nonlinear Model for HIV Dynamics: Protease Inhibitors-based Approach
  • Generative Locomotion Model of Snake Robot with Hierarchical Networks for Topological Representation
  • A Flexible Semantic Integration Framework for Fully-integrated EHR based on FHIR Standard
  • A Fast Algorithm for Unsupervised Feature Value Selection
  • Integrating golog++ and ROS for Practical and Portable High-level Control
  • Adapting the Markov Chain based Algorithm M-DBScan to Detect Opponents’ Strategy Changes in the Dynamic Scenario of a StarCraft Player Agent
  • Secrecy-preserving Reasoning in ELH Knowledge Bases using MapReduce Algorithm
  • First Steps for Determining Agent Intention in Dynamic Epistemic Logic
  • Using Convolutional Neural Networks and Raw Data to Model Intraday Trading Market Behaviour
  • Artificial Neural Networks and Reinforcement Learning for Model-based Design of an Automated Vehicle Guidance System
  • Reinforcement Learning in the Load Balancing Problem for the iFDAQ of the COMPASS Experiment at CERN
  • Novel Lie Speech Classification by using Voice Stress
  • Tactile Tile Detection Integrated with Ground Detection using an RGB-Depth Sensor
  • From 3-valued Semantics to Supported Model Computation for Logic Programs in Vector Spaces
  • Production Scheduling based on Deep Reinforcement Learning using Graph Convolutional Neural Network
  • Ontology based Information Management for Industrial Applications
  • Comparative Machine Learning Approach in Dementia Patient Classification using Principal Component Analysis
  • Decomposable Probability-of-Success Metrics in Algorithmic Search
  • An Efficient Approach based on BERT and Recurrent Neural Network for Multi-turn Spoken Dialogue Understanding
  • Knowledge-based Analysis of Residential Air Quality
  • Cognitive Modeling in Computational Rhetoric: Litotes, Containment and the Unexcluded Middle
  • Object Detection for Autonomous Driving: Motion-aid Feature Calibration Network
  • Naive Bayesian Network for Automated, Fashion Personal Stylist
  • Arguments in Parliamentary Negotiation: A Study of Verbatim Records
  • Investigation of Day-ahead Price Forecasting Models in the Finnish Electricity Market
  • Self-organized Cognitive Algebraic Neural Network
  • An Autonomous Resiliency Toolkit for Cyber Defense Platforms
  • Conflicts Resolution and Situation Awareness in Heterogeneous Multi-agent Missions using Publish-subscribe Technique and Inferential Reasoning
  • Secure Multi-agent Planning via Sharemind
  • Supervised Hardware/Software Partitioning Algorithms for FPGA-based Applications
  • Digital Cryptography Implementation using Neurocomputational Model with Autoencoder Architecture
  • The k Closest Resemblance Classifier for Amazon Products Recommender System
  • Handling Uncertainties in Distributed Constraint Optimization Problems using Bayesian Inferential Reasoning
  • Perceiving the Focal Point of a Painting with AI: Case Studies on Works of Luc Tuymans
  • On Nonintrusive Monitoring of Electrical Appliance Load Via Restricted Boltzmann Machine with Temporal Reservoir
  • A Weak-supervision Method for Automating Training Set Creation in Multi-domain Aspect Sentiment Classification
  • SCHEMATA: 3D Classification and Categorization of Ancient Terracotta Figurines
  • The Complexity of Social Media Response: Statistical Evidence for One-dimensional Engagement Signal in Twitter
  • New Anomaly Detection in Semiconductor Manufacturing Process using Oversampling Method
  • A Design of the ViaBots Model for Industrial Assembly Line Application
  • Classification of Visual Strategies in Physics Vector Field Problem-solving
  • Towards an Effective Decision-making System based on Cow Profitability using Deep Learning
  • Automated Acquisition of Control Knowledge for Classical Planners
  • Mixed Pattern Recognition Methodology on Wafer Maps with Pre-trained Convolutional Neural Networks
  • The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity
  • Adaptive Classifiers: Applied to Radio Waveforms
  • Generation and Optimization of Inspection Routes for Economic and Food Safety
  • Credible Interval Prediction of a Nonstationary Poisson Distribution based on Bayes Decision Theory
  • Algorithmic Eta-reduction in Type-theory of Acyclic Recursion
  • Model-centered Ensemble for Anomaly Detection in Time Series
  • CATE: An Embodied Conversational Agent for the Elderly