Reproducing Evacuation Behaviors of Evacuees during the Great East Japan Earthquake using the Evacuation Decision Model with Realistic Settings
Smart Broker Agent Learning How to Reach Appropriate Goal by Making Appropriate Compromises
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
Simulation Framework to Train Intelligent Agents towards an Assisted Driving Power Wheelchair for People with Disability
Imperfect Oracles: The Effect of Strategic Information on Stock Markets
CAMP-IRL Agents: Extracting Multiple Behavior Profiles for Pedestrian Simulation
Adaptive Planning Method for Operations of a Multi-satellite Swarm for Earth Remote Sensing in Real Time
A City-aware Car Parks Marketplace for Smart Parking
Blockchain-based Task-centric Team Building
Network Topology Identification using Supervised Pattern Recognition Neural Networks
Strategising RoboCup in Real Time with Uppaal Stratego
Effective Area Partitioning in a Multi-Agent Patrolling Domain for Better Efficiency
Decentralized Multi-agent Formation Control via Deep Reinforcement Learning
An Artificial Hormone-based Algorithm for Production Scheduling from the Bottom-up
Information-theoretic Cost of Decision-making in Joint Action
Let’s Do the Time Warp Again: Human Action Assistance for Reinforcement Learning Agents
Mixed Reference Interpretation in Multi-turn Conversation
Improving Active Attitude for Interactive Decision-making with Multiple Agents by Increasing Personal Resource
Towards Verifying a Blocks World for Teams GOAL Agent
Towards Verifying GOAL Agents in Isabelle/HOL
A Self-adaptive Module for Cross-understanding in Heterogeneous MultiAgent Systems
Dynamic Lot Sizing in a Self-organizing Production
Cooperative Neighborhood Learning: Application to Robotic Inverse Model
Maintaining Organizational Multi-agent Systems: A Reorganization-based Preventive Approach
A Branch and Price Algorithm for Coalition Structure Generation over Graphs
Mixed Deep Reinforcement Learning-behavior Tree for Intelligent Agents Design
Distributed Serverless Chat Bot Networks using Mobile Agents: A Distributed Data Base Model for Social Networking and Data Analytics
A Local Active Learning Strategy by Cooperative Multi-Agent Systems
Heterogeneous Preferences and Patterns of Contribution in Cybersecurity as a Public Good
Exploring Narrative Economics: An Agent-based-modeling Platform that Integrates Automated Traders with Opinion Dynamics
Distributed Framework for Reversible Merging of Heterogeneous Robot Maps
Path Planning for Autonomous Vehicles with Dynamic Lane Mapping and Obstacle Avoidance
Towards a Model of Empathic Pedagogical Agent for Educating Children and Teenagers on Good Practices in the Use of Social Networks
A Study on Negotiation for Revealed Information with Decentralized Asymmetric Multi-objective Constraint Optimization
Integrating Shared Information into the Sensorial Mapping of Connected and Autonomous Vehicles
Investigation on Stochastic Local Search for Decentralized Asymmetric Multi-objective Constraint Optimization Considering Worst Case
Scene Detection in De Boer Historical Photo Collection
Balancing Performance and Effort in Deep Learning via the Fusion of Real and Synthetic Cultural Heritage Photogrammetry Training Sets
Automatic Annotations and Enrichments for Audiovisual Archives
Multi-modal Label Retrieval for the Visual Arts: The Case of Iconclass
Strengthening Low-resource Neural Machine Translation through Joint Learning: The Case of Farsi-Spanish
Augmented Spanish-Persian Neural Machine Translation
ArabiaNer: A System to Extract Named Entities from Arabic Content
CNN-LSTM-CRF for Aspect-Based Sentiment Analysis: A Joint Method Applied to French Reviews
Aspect Based Sentiment Analysis using French Pre-Trained Models
Neural Machine Translation for Amharic-English Translation
Memory State Tracker: A Memory Network based Dialogue State Tracker
Comprehensive Transcriptional Analysis Reveals Gene-specific Transcriptional Variations in a Seed Plant, Arabidopsis thaliana
Vector Quantization to Visualize the Detection Process
Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey
Trading Agent Competition with Autonomous Economic Agents
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-Wideband
The Gopher’s Gambit: Survival Advantages of Artifact-based Intention Perception
Evaluating Correlations in IoT Sensors for Smart Buildings
Organization as a Multi-level Design Pattern for Agent-based Simulation of Complex Systems
A Multi-Agent Negotiation Strategy for Reducing the Flowtime
Comparative Evaluation of Road Traffic Simulators based on Modeler’s Specifications: An Application to Intermodal Mobility Behaviors
A Systematic Review about Requirements Engineering Processes for Multi-Agent Systems
Multi-Agent Goal Reasoning with the CLIPS Executive in the RoboCup Logistics League
Bio-Inspired Protocols for Embodied Multi-Agent Systems
Distributed Service Area Control for Ride Sharing by using Multi-Agent Deep Reinforcement Learning
Automatic Definition of MOISE Organizations for Adaptive Workflows
On using Theorem Proving for Cognitive Agent-oriented Programming
Application of Multiagent System and Tabu Search for Truck Dispatching in Open-pit Mines
Efficient Secure Communication for Distributed Multi-Agent Systems
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving
A Lightweight Microservice-oriented Platform for Development of Intelligent Agent-based Enterprise Applications
Formal Validation for Natural Language Programming using Hierarchical Finite State Automata
Multi-class Motor Imagery EEG Classification using Convolution Neural Network
Comparing Elementary Cellular Automata Classifications with a Convolutional Neural Network
Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance
The Power Index at Infinity: Weighted Voting in Sequential Infinite Anonymous Games
Solving Maximal Stable Set Problem via Deep Reinforcement Learning
Inconsistency-tolerant Hierarchical Probabilistic Computation Tree Logic and Its Application to Model Checking
Forecasting Air Pollution in Munich: A Comparison of MLR, ANFIS, and SVM
Multi-scale Convolutional Neural Networks for the Prediction of Human-virus Protein Interactions
Bridging the Technology Gap between Industry and Semantic Web: Generating Databases and Server Code from RDF
Predicting the Progress of Vehicle Development Projects: An Approach for the Identification of Input Features
The Person Index Challenge: Extraction of Persons from Messy, Short Texts
Generating Commonsense Ontologies with Answer Set Programming
Quantum Control for Error Correction using Mother Tee Optimization
Probabilistic (k,l)-Context-Sensitive Grammar Inference with Gibbs Sampling Applied to Chord Sequences
Causal Campbell-Goodhart’s Law and Reinforcement Learning
Incremental Learning for Real-time Partitioning for FPGA Applications
Optimal Distribution of CNN Computations on Edge and Cloud
Why It is Hard to Find AI in SMEs: A Survey from the Practice and How to Promote It
Markov Logic Network for Metaphor Set Expansion
Using Game AI to Control a Simulated Economy
Twin-GAN for Neural Machine Translation
Smartphone Glass Inspection System
Using Deep Learning for Trajectory Classification
A Crowdsourcing Methodology for Improved Geographic Focus Identification of News-stories
Generating Reactive Robots’ Behaviors using Genetic Algorithms
An Improved Cuckoo Search Algorithm for Multiple Odor Sources Localization
A Framework of Hierarchical Deep Q-Network for Portfolio Management
Sensor Fusion Neural Networks for Gesture Recognition on Low-power Edge Devices
Micro-YOLO: Exploring Efficient Methods to Compress CNN based Object Detection Model
Modeling and Simulation of Associative Reasoning
ImpactCite: An XLNet-based Solution Enabling Qualitative Citation Impact Analysis Utilizing Sentiment and Intent
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts
Training an Agent to Find and Reach an Object in Different Environments using Visual Reinforcement Learning and Transfer Learning
Decoupling State Representation Methods from Reinforcement Learning in Car Racing
Compiling Possibilistic Networks to Compute Learning Indicators
Post-hoc Explanation using a Mimic Rule for Numerical Data
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors
Prediction of Cotton Field on Integrated Environmental Data
Contract Metadata Identification in Czech Scanned Documents
Can We Detect Harmony in Artistic Compositions? A Machine Learning Approach
Improvements to Increase the Efficiency of the AlphaZero Algorithm: A Case Study in the Game ’Connect 4’
Sentence Boundary Detection in German Legal Documents
A New Parking Space Allocation System based on a Distributed Constraint Optimization Approach
Recipe Enrichment: Knowledge Required for a Cooking Assistant
Beneficial Effect of Combined Replay for Continual Learning
Receiving Messages in Their Correct Order: Analyzing Broadcast Protocols in Dynamic Epistemic Logics
Novelty Detection in Physical Activity
Explainable Reinforcement Learning for Longitudinal Control
Reinforcement Learning with Quantitative Verification for Assured Multi-Agent Policies
Dancing Guide: Near Realtime Audio Classification of Live Dance Music on Smartphones
GREE-COCO: Green Artificial Intelligence Powered Cost Pricing Models for Congestion Control
Understand Watchdogs: Discover How Game Bot Get Discovered
Domain Adaptation Multi-task Deep Neural Network for Mitigating Unintended Bias in Toxic Language Detection
Congestion-Aware Stochastic Path Planning and Its Applications in Real World Navigation
A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments
Web-Gorgias-B: Argumentation for All
VICA: A Vicarious Cognitive Architecture Environment Model for Navigation Among Movable Obstacles
On the Prediction of a Nonstationary Bernoulli Distribution based on Bayes Decision Theory
Non-alternative Artificial and Natural Intelligences Partnership for Put up Shoot in and Return to Rational Co-evolution with Noosphere
ML-based Decision Support for CSP Modelling with Regular Membership and Table Constraints
A Best-first Backward-chaining Search Strategy based on Learned Predicate Representations
Autoencoder Watchdog Outlier Detection for Classifiers
Adaptive Semantic Routing in Dynamic Environments
Temporal Transfer Learning for Ozone Prediction based on CNN-LSTM Model
On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter?
LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control
Emotion Recognition through Voting on Expressions in Multiple Facial Regions
How Are the Members of a Parliament Arguing? Analysis of an Argument Corpus
A Comparison of Bayesian and Frequentist Approaches for the Case of Accident and Safety Analysis, as a Precept for All AI Expert Models
A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset
Planning with Hierarchical Temporal Memory for Deterministic Markov Decision Problem
Cycle4Value: A Blockchain-based Reward System to Promote Cycling and Reduce CO2 Footprint
On Explanation of Propositional Logic-based Argumentation System
Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation
An Effective Driver Intention and Trajectory Prediction for Autonomous Vehicle based on LSTM
Improving Decision-Making-Process for Robot Navigation Under Uncertainty
Analyzing Adversarial Attacks against Deep Learning for Robot Navigation
Dynamic and Scalable Deep Neural Network Verification Algorithm
Mathematical Programming Approach for Adversarial Attack Modelling
TWIN-GRU: Twin Stream GRU Network for Action Recognition from RGB Video
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance
Secrecy-preserving Reasoning in Acyclic DL-LiteR Knowledge Bases in the Presence of BCQs
Word Reordering and Comma Insertion Integrated with Shift-Reduce Dependency Parsing
The Determinants of Social Media Engagement for Fashion Industry in Oman: A Descriptive Analysis
Multi-feature and Modular Pedestrian Intention Prediction using a Monocular Camera
Neurosymbolic Spike Concept Learner towards Neuromorphic General Intelligence
Masked Hard Coverage Mechanism on Pointer-generator Network for Natural Language Generation
A Secure Integrated Fog Cloud-IoT Architecture based on Multi-Agents System and Blockchain
Bet-based Evolutionary Algorithms: Self-improving Dynamics in Offspring Generation
A Novel Deep Learning Power Quality Disturbance Classification Method using Autoencoders
Informer, an Information Organization Transformer Architecture
An Ensemble-based Approach by Fine-Tuning the Deep Transfer Learning Models to Classify Pneumonia from Chest X-Ray Images
Unsupervised Word Sense Disambiguation based on Word Embedding and Collocation
Interpretability in Word Sense Disambiguation using Tsetlin Machine
Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites
Computer Modeling of the Dynamics of Interregional Freight Transport Depending on Macroeconomic Indicators
Market Impact in Trader-agents: Adding Multi-level Order-flow Imbalance-sensitivity to Automated Trading Systems
Multiple Pursuers TrailMax Algorithm for Dynamic Environments
On Informative Tweet Identification for Tracking Mass Events
Measuring Inflation within Virtual Economies using Deep Reinforcement Learning
AutoGE: A Tool for Estimation of Grammatical Evolution Models
Scalable Stochastic Path Planning under Congestion
A Measurement for Essential Conflict in Dempster-Shafer Theory
A Landscape Photograph Localisation Method with a Genetic Algorithm using Image Features
Comparing Privacy Policies of Government Agencies and Companies: A Study using Machine-learning-based Privacy Policy Analysis Tools
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
Design and Implementation of German Legal Decision Corpora
CogToM: A Cognitive Architecture Implementation of the Theory of Mind
A Probabilistic Theory of Abductive Reasoning
A History-based Framework for Online Continuous Action Ensembles in Deep Reinforcement Learning
Manufacturing Control in Job Shop Environments with Reinforcement Learning
Online Learning of non-Markovian Reward Models
A Quality Framework for Automated Planning Knowledge Models
A Diagnosis Support System for Veterinary Necropsy based on Bayesian Networks
Analysis of Feature Representations for Anomalous Sound Detection
An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning
In-car Damage Dirt and Stain Estimation with RGB Images
Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization
Discrete and Continuous Deep Residual Learning over Graphs
Real-time Active Vision for a Humanoid Soccer Robot using Deep Reinforcement Learning
Drivable Area Extraction based on Shadow Corrected Images
Traffic Sign Recognition System based on Belief Functions Theory
Sensorless Coil Temperature Measurements using Neural Networks for Voltage Control
A Two Step Fine-tuning Approach for Text Recognition on Identity Documents
Headway and Following Distance Estimation using a Monocular Camera and Deep Learning
Portable High-level Agent Programming with golog++
A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses
Novel Radar-based Gesture Recognition System using Optimized CNN-LSTM Deep Neural Network for Low-power Microcomputer Platform
A QUBO Model to the Tail Assignment Problem
HNAS: Hyper Neural Architecture Search for Image Segmentation
On-demand Robotic Fleet Routing in Capacitated Networks with Time-varying Transportation Demand
WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets
Pairwise Cosine Similarity of Emission Probability Matrix as an Indicator of Prediction Accuracy of the Viterbi Algorithm
Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis
Acoustic Leak Detection in Water Networks
Introducing the Hidden Neural Markov Chain Framework
ChronSeg: Novel Dataset for Segmentation of Handwritten Historical Chronicles
Tourism Forecast with Weather, Event, and Cross-industry Data
Identifying Depression Clues using Emotions and AI
On the Limits to Multi-modal Popularity Prediction on Instagram: A New Robust, Efficient and Explainable Baseline
Using Machine Learning to Forecast Air and Water Quality
Is Your Chatbot Perplexing?: Confident Personalized Conversational Agent for Consistent Chit-Chat Dialogue
SLPRNet: A 6D Object Pose Regression Network by Sample Learning
LSTM-based System for Multiple Obstacle Detection using Ultra-wide Band Radar
Comparing Dependency-based Compositional Models with Contextualized Word Embeddings
Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
Obsolescence Prediction based on Joint Feature Selection and Machine Learning Techniques
Explaining Inaccurate Predictions of Models through k-Nearest Neighbors
Robustness-driven Exploration with Probabilistic Metric Temporal Logic