• 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