yusuke1997/dblp-id-title huggingface dataset:
CT to MRI Image Translation Using CycleGAN: A Deep Learning Approach for Cross-Modality Medical Imaging
Momentum Iterative Gradient Sign Method Outperforms PGD Attacks
Towards Epistemic Planning Agents
Deep and Shallow Machine Learning for Predicting Major Donors
Optimal Sample Selection for Batch-mode Reinforcement Learning
A User Independent Method for Identifying Hand Gestures with sEMG
Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies
Using Machine Learning to Distinguish Human-Written from Machine-Generated Creative Fiction
Explainable AI in Labor Market Applications
Dispersion Effect on Generalisation Error in Classification - Experimental Proof and Practical Algorithm
An Evaluation Framework for Future Privacy Protection Systems: A Dynamic Identity Ecosystem Approach
Federated Machine Learning Framework for Soil Classification in Smart Agriculture
NC4OMAS: A Norms-based Approach for Open Multi-Agent Systems Controllability
Towards Multi-agent Reinforcement Learning using Quantum Boltzmann Machines
Multiparty Argumentation Game for Consensual Expansion
Multiagent Resource Planning System for Utility Provision
Interactive Evolving Recurrent Neural Networks Are Super-turing
Acoustic Leak Detection in Water Networks
Constrained Minimum-Variance PID Control using Hybrid Nelder-Mead Simplex and Swarm Intelligence
Single Conspiracy Number Analysis in Checkers
Adaptation Schemes for Question's Level to be Proposed by Intelligent Tutoring Systems
The Application of Keirsey's Temperament Model to Twitter Data in Portuguese
Cognitive Planning in Motivational Interviewing
Comparing Dependency-based Compositional Models with Contextualized Word Embeddings
Study of Human Activity Related to Residential Energy Consumption Using Multi-level Simulations
Dealing with Permanent Agent Failure in Dynamic Agents Organisations
Efficient Selection of Consistent Plans Using Patterns and Constraint Satisfaction for Beliefs-Desires-Intentions Agents
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 2, Online Streaming, February 3-5, 2022
Why It is Hard to Find AI in SMEs: A Survey from the Practice and How to Promote It
Sound Summarizations for Alchi Ontologies - How to Speedup Instance Checking and Instance Retrieval
Improvement of Bias and Rising Threshold Algorithm based on Local Information Sharing
A Modular Framework for Knowledge-Based Servoing: Plugging Symbolic Theories into Robotic Controllers
Reinforcement Learning Guided by Provable Normative Compliance
A Sampling Approximation for Large-scale K-means
Snakes in Trees: An Explainable Artificial Intelligence Approach for Automatic Object Detection and Recognition
MarIA: Spanish Language Models
Minimalistic Vision-based Cognitive SLAM
UTP: A Unified Term Presentation Tool for Clinical Textual Data Using Pattern-Matching Rules and Dictionary-Based Ontologies
An Efficient Genetic Algorithm for Service Placement in Fog Computing
A Novel Bagged Ensemble Approach for Accurate Histopathological Breast Cancer Classification Using Transfer Learning and Convolutional Neural Networks
Air Quality Forecast through Integrated Data Assimilation and Machine Learning
Climate-Friendly Online Shopping Within the Green eCommerce Project: A Fitting Tool to Determine T-Shirt Sizes Using Active Depth Sensing
On a Priced Resource-bounded Alternating μ-Calculus
TraxBot - Assembling and Programming of a Mobile Robotic Platform
On the Replaceability of Computational Agents in an Ethical Theory
Autonomous Pareto Front Scanning using an Adaptive Multi-Agent System for Multidisciplinary Optimization
A Framework for High-throughput Gene Signatures with Microarray-based Brain Cancer Gene Expression Profiling Data
A Bi-Level Genetic Algorithm to Solve the Dynamic Flexible Job Shop Scheduling Problem
Multi-Agent Monocular SLAM
Explainable Reinforcement Learning for Longitudinal Control
Multi-agent based Modeling of the Tunisian Pastoral Dynamic - Multi-level Organization
Interpreting Structures in Man-made Scenes - Combining Low-Level and High-Level Structure Sources
Coalition Alternating-Time Temporal Logic: A Logic to Find Good Coalitions to Achieve Strategic Objectives
Safe Policy Improvement Approaches on Discrete Markov Decision Processes
Explaining Mammographic Texture: The Role of View and Abnormality Type in Early Cancer Diagnosis
Basics of Intersubjectivity Dynamics: Model of Synchrony Emergence When Dialogue Partners Understand Each Other
On the Relationship between a Computational Natural Logic and Natural Language
Scalable Stochastic Path Planning under Congestion
Perception and Acceptance of an Autonomous Refactoring Bot
Dynamic Scenario Adaptation Balancing Control, Coherence and Emergence
Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases
Proposal of a Framework to Share Knowledge on Consumer's Impressions
How Does AI Play Football? An Analysis of RL and Real-world Football Strategies
Language Independent Extraction of Key Terms: An Extensive Comparison of Metrics
Multi-agent Transfer Learning in Reinforcement Learning-based Ride-sharing Systems
A Personalized Recommender System for Telecom Products and Services
Generating Incomplete Data with DataZapper
Strategic Reorganization in Geographically Dispersed Multi-Agent Systems - A Case Study using Cow Herding Scenario
What We Do: Challenges in Individual Rationality and Its Collective Consequences
Using Agents and Unsupervised Learning for Counting Objects in Images with Spatial Organization
Identification of Flaming and Its Applications in CGM - Case Studies toward Ultimate Prevention
SIMSEA: A Multiagent Architecture for Fishing Activity in a Simulated Environment
From Formal Modelling to Agent Simulation Execution and Testing
Automated Planning for Pick-and-Place Robot
AI 3D Printing Process Parameters Optimization
A Trust-based Decision-making Approach Applied to Agents in Collaborative Environments
Evolving Behavioural Level Sequence Detectors in SystemVerilog Using Grammatical Evolution
Towards a Model of Empathic Pedagogical Agent for Educating Children and Teenagers on Good Practices in the Use of Social Networks
Supporting Distant Human Collaboration under Tangible Environments - A Normative Multiagent Approach
Nature-Inspired Algorithms for Solving Weighted Constraint Satisfaction Problems
Multi-Agent Plan Recognition as Planning (MAPRAP)
Personalized Sentiment Analysis and a Framework with Attention-Based Hawkes Process Model
A Method for Binarization of Document Images from a Live Camera Stream
On Nonintrusive Monitoring of Electrical Appliance Load Via Restricted Boltzmann Machine with Temporal Reservoir
A Description Logic Based Knowledge Representation Model for Concept Understanding
Towards Robust Hybrid Central/Self-organizing Multi-agent Systems
SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, Volume 1, Lisbon, Portugal, February 22-24, 2023
An Agent-Based Architecture for Personalized Recommendations
An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management
Coalition Formation for Simulating and Analyzing Iterative Prisoner's Dilemma
Prediction of Surface Roughness in Turning using Orthogonal Matrix Experiment and Neural Networks
Automatic Annotations and Enrichments for Audiovisual Archives
Study on Applying Decentralized Evolutionary Algorithm to Asymmetric Multi-objective DCOPs with Fairness and Worst Case
Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness
Modeling Hierarchical Resources Within a Unified Ontology - A Position Paper
Seeing Through the Smoke: An Agent Architecture for Representing Health Protection Motivation Under Social Pressure
Adaptative Multimodal Architectures Managing Software Qualities
Adaptive Semantic Routing in Dynamic Environments
Multi-agent based Synchronous Communication for Dynamic Rescheduling in Railway Network
FEAT: A Fast, Effective, and Feasible Model for Molecular Property Prediction Based on Graph Neural Network
Toward a New Hybrid Intelligent Sentiment Analysis using CNN- LSTM and Cultural Algorithms
Partial Tensorized Transformers for Natural Language Processing
The Role of Communication in Coordination Protocols for Cooperative Robot Teams
Development of Culture-specific Gaze Behaviours of Virtual Agents
A Scalable and Automated Machine Learning Framework to Support Risk Management
A Framework for Cognitive Defense in Blockchain: A Case Study on AI-Based Protection Against Selfish Mining Attacks
An Off-line Evaluation of Usersr Ranking Metrics in Group Recommendation
Identifying Visitor's Paintings Appreciation for AI Audio Guide in Museums
Linguistic Applications of Finite Automata with Translucent Letters
Emotion-Cause Pair Extraction as Question Answering
Completion of User Preference based on CP-nets in Automated Negotiation
Q-Defense: When Q-Learning Comes to Help Proof-of-Work Against the Selfish Mining Attack
Text Processing Procedures for Analysing a Corpus with Medieval Marian Miracle Tales in Old Swedish
Innovations and Emerging Technologies: A Study of the Italian Intellectual Property Knowledge Database
VICA: A Vicarious Cognitive Architecture Environment Model for Navigation Among Movable Obstacles
An Interface Agent for the Management of COTS-based User Interfaces
Distributed Serverless Chat Bot Networks using Mobile Agents: A Distributed Data Base Model for Social Networking and Data Analytics
An Electricity Market Game using Agent-based Gaming Technique for Understanding Energy Transition
Knowledge Representation - An Ontology for Managing a Virtual Environment
Joining LDA and Word Embeddings for Covid-19 Topic Modeling on English and Arabic Data
Algorithmic Eta-reduction in Type-theory of Acyclic Recursion
A Two-Phase Safe Reinforcement Learning Framework for Finding the Safe Policy Space
Towards a Principled Computational System of Syntactic Ambiguity Detection and Representation
Learning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning
Secrecy-preserving Reasoning in Acyclic DL-LiteR Knowledge Bases in the Presence of BCQs
Multi-Agent Approach for Controlling Robots Marching in a File - A Simulation
Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping
Strategising RoboCup in Real Time with Uppaal Stratego
AgeGen Bio Track: Continuous Mouse Behavioral Biometrics-Based Age and Gender Profiling in Online Education Platforms
Using Lightweight Knowledge Modelling to Improve Proactive Information Delivery
Mitigating Algorithmic Bias in Prostate Cancer Risk Stratification with Responsible Artificial Intelligence and Machine Learning
Measuring Emotion Velocity for Resemblance in Neural Network Facial Animation Controllers and Their Emotion Corpora
Post-hoc Global Explanation using Hypersphere Sets
Comparing RNN and Transformer Context Representations in the Czech Answer Selection Task
A Fine-Tuning Aggregation Convolutional Neural Network Surrogate Model of Strategy Selecting Mechanism for Repeated-Encounter Bilateral Automated Negotiation
Solving Maximal Stable Set Problem via Deep Reinforcement Learning
Extracting Primary Objects and Spatial Relations from Sentences
YOLOv3: Traffic Signs & Lights Detection and Recognition for Autonomous Driving
Spiralling Human-Inspired Exploration Algorithm with Doorway Detection
VP-DARTS: Validated Pruning Differentiable Architecture Search
Metaheuristics-based Exploration Strategies for Multi-Objective Reinforcement Learning
A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain
An Observation of Behavioral Changes of Indoor Dogs in Response to Caring Behavior by Humanoid Robots - Can Dogs and Robots Be Companions?
A Challenging Data Set for Evaluating Part-of-Speech Taggers
Be Persuasive! Automatic Transformation of Virtual Agent's Head and Facial Behavior
Obligatory Hybrid Networks of Evolutionary Processors
An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles
Text Segmentation using Named Entity Recognition and Co-reference Resolution
Significance of Training Images and Feature Extraction in Lesion Classification
Actor-Critic Reinforcement Learning with Neural Networks in Continuous Games
Proposal of an Automated Testing Method for GraphQL APIs Using Reinforcement Learning
A Hierarchical Playscript Representation of Distributed Words for Effective Semantic Clustering and Search
Adaptive State Representations for Multi-agent Reinforcement Learning
Improvements to Increase the Efficiency of the AlphaZero Algorithm: A Case Study in the Game 'Connect 4'
Autonomous Braking and Throttle System: A Deep Reinforcement Learning Approach for Naturalistic Driving
Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks
Distributed Envy Minimization for Resource Allocation
Development of a System to Generate Artificial Ambiance based on Entropy
GWNet: A Lightweight Model for Low-Light Image Enhancement Using Gamma Correction and Wavelet Transform
Neural Network for Fretting Wear Modeling
Stopwords Identification by Means of Characteristic and Discriminant Analysis
A Game Theoretic Approach to Attack Graphs
Leveraging Causal Relations to Provide Counterfactual Explanations and Feasible Recommendations to End Users
Operations on Conversational Mind-graphs
Production Scheduling based on Deep Reinforcement Learning using Graph Convolutional Neural Network
Gamma-star Reduction in the Type-theory of Acyclic Algorithms
Medical Decision Support Tool from a Fuzzy-Rules Driven Bayesian Network
Understand Watchdogs: Discover How Game Bot Get Discovered
Recognizing Emotions in Short Texts
Explainable Recommendations of Drugs for Diabetic Patients
Synthetic Data Generation for Emergency Medical Systems: A Systematic Comparison of Tabular GAN Extensions
Attributed-based Label Propagation Method for Balanced Modularity and Homogeneity Community Detection
An Analysis of Virtual Loss in Parallel MCTS
Semantics-Provided Environment Views for Normality Analysis-based Intelligent Surveillance
The Observability Problem in Traffic Models - An Algebraic Step by Step Method
Case Representation and Adaptation in SmartLP - A Web-based Lesson Planning System
Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments
Agent-based Simulation of Socially-inspired Model of Resistance against Unpopular Norms
Analysis and Classification of Voice Pathologies using Glottal Signal Parameters with Recurrent Neural Networks and SVM
A Study of Joint Policies Considering Bottlenecks and Fairness
Effective Adaptive Strategy Selection Using Extended Fine-Tuning and CNN-Based Surrogate Model in Repeated-Encounter Bilateral Automated Negotiation
Uncertain Formal Concept Analysis for the Analyze of a Course Satisfaction Questionnaire
Integrating Logical and Sub-symbolic Contexts of Reasoning
Speeding up Online POMDP Planning - Unification of Observation Branches by Belief-state Compression Via Expected Feature Values
Region-based Heuristics for an Iterative Partitioning Problem in Multiagent Systems
CAMMA: A Deep Learning-Based Approach for Cascaded Multi-Task Medical Vision Question Answering
Autonomous Methods in Multisensor Architecture for Smart Surveillance
Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit
Complex Exponent Moments FFT Algorithm and its Application
Generation of Facial Images Reflecting Speaker Attributes and Emotions Based on Voice Input
Dynamic Selection of Learning Situations in Virtual Environment
Scalability Analysis of mRMR for Microarray Data
Catch Me if You Can: Improving Adversaries in Cyber-Security with Q-Learning Algorithms
Soft Adversarial Training Can Retain Natural Accuracy
ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 2 - Agents, Vilamoura, Algarve, Portugal, 6-8 February, 2012
How to Decrease and Resolve Inconsistency of a Knowledge Base?
Automating Opinion Extraction from Semi-Structured Webpages: Leveraging Language Models and Instruction Finetuning on Synthetic Data
A Multi-agent Model for Simulating the Impact of Social Structure in Linguistic Convergence
Research on the Bayesian Learning Model for Selecting Arguments on Argumentation-based Negotiation of Agent
CPNT-Jade Framework - Developing Agent-based Control of Discrete Event Systems
Chest X-Ray Image Analysis - A Vision of Logic Programming
ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 2 - Agents, Valencia, Spain, January 22-24, 2010
Integrated Simulation Approach for Dynamic Distributed Evacuation Guidance Under Fire Spread and Rare but Catastrophic Events
A Hybrid Intuitionistic MCDM Model for Supplier Selection
Coordination of Self-Optimizing Mechatronic Systems - A New Application for Multi-Agent Planning
Hazard Avoidance Auto Control System for a Robotic Vehicle
iXGB: Improving the Interpretability of XGBoost Using Decision Rules and Counterfactuals
A Federated Approach to Enhance Calibration of Distributed ML-Based Intrusion Detection Systems
Proposing a Similarity Measure in Case based Reasoning for Products Selection - An Experimental Evidence
A Quantitative Assessment Framework for Modelling and Evaluation Using Representation Learning in Smart Agriculture Ontology
Transfer and Extraction of the Style of Handwritten Letters using Deep Learning
Upper Confident Bound Fuzzy Q-learning and Its Application to a Video Game
An Architecture for Autonomous Normative BDI Agents based on Personality Traits to Solve Normative Conflicts
Map Matching for SLAM with Multiple Robots in Different Moments
Using Machine Learning and Finite Element Modelling to Develop a Formula to Determine the Deflection of Horizontally Curved Steel I-beams
OCASP OWL Class Axiom Score Predictor with Active Learning
The New Era of High-Functionality Computing
Towards More Reliable Text Classification on Edge Devices via a Human-in-the-Loop
Exploring Properties of the Instant Insanity Puzzle with Constraint Satisfaction Approach
Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning
Computing Maxmin Strategies in Extensive-form Zero-sum Games with Imperfect Recall
The Intelligence of Agents in Games
Advances in Learning with Bayesian Networks
Facility Layout Generation Using Hierarchical Reinforcement Learning
Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting
Natural Language-Based Reinforcement Learning for Acquiring Commonsense Knowledge from Partial Scenarios
CAMP-IRL Agents: Extracting Multiple Behavior Profiles for Pedestrian Simulation
Transforming the Emotion in Speech using a Generative Adversarial Network
Duplicate Detection in a Knowledge Base with PIKA
Improving File Sharing Experience with Incentive Based Coalitions
Rapid Behaviour Modelling for an Agent-based Simulation
AGENTFORGE: A Flexible Low-Code Platform for Reinforcement Learning Agent Design
Concept and Realization of a Diagnostic System for Smart Environments
Detecting Colluding Attackers in Distributed Grid Systems
Is Artificial Consciousness the Missing Ingredient for Ethical AI?
Effective Evaluation of Autonomous Taxi Fleets
ECA-CE: An Evolutionary Clustering Algorithm with Initial Population by Clustering Ensemble
A Knowledge-based System for the Validation of the Deployment of Software Units
Multi-agents System on Epileptic Network
Player Profiling using Hidden Markov Models Supported with the Sliding Window Method
Application of Multiagent System and Tabu Search for Truck Dispatching in Open-pit Mines
Comparison of Power Consumption Reduce Effect of Intelligent Lighting System and Lighting Control System Using Motion Sensors
The Determinants of Social Media Engagement for Fashion Industry in Oman: A Descriptive Analysis
Application of Sequential Neural Networks to Predict the Approximation Degree of Decision-making Systems
Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling
Word Reordering and Comma Insertion Integrated with Shift-Reduce Dependency Parsing
Do Artificial General Intelligent Systems Really Need to Be Conscious?
Who Knows Who: A Context-Based Approach to Network Generation for Social Simulations
A Refined Multilingual Scene Text Detector Based on YOLOv7
Formal Analysis of Deontic Logic Model for Ethical Decisions
Semantic Resource Discovery in Grid and Multi-agent Environment
AnimaChaotic: AI-based Automatic Conversion of Children's Stories to Animated 3D Videos
Deep Learning of Heuristics for Domain-independent Planning
Supporting Human Recollection of the Impressive Events using the Number of Photos
SyRoTek - On an e-Learning System for Mobile Robotics and Artificial Intelligence
Merging Successive Possibility Distributions for Trust Estimation under Uncertainty in Multi-agent Systems
Oral Diseases Recognition Based on Photographic Images
Parsing with Partially Known Grammar
Flattening Based Cuckoo Search Optimization Algorithm for Community Detection in Multiplex Networks
Revisiting Classical Dynamic Controllability: A Tighter Complexity Analysis
A Landscape Photograph Localisation Method with a Genetic Algorithm using Image Features
Simulating Knowledge and Information in Pedestrian Egress
A Three-Valued Semantics for Negotiated Situation of Multi-Agent System Based on BATNA and WATNA
Towards Holistic Approach to Robust Execution of MAPF Plans
SAPG: Semantically-Aware Paraphrase Generation with AMR Graphs
Where is that Button Again?! - Towards a Universal GUI Search Engine
Diverse Planning for UAV Trajectories
Intelligent Local Energy Communities: A Multiagent System Approach
SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning
On the Role of Central Individuals in Influence Propagation
Optimized Non-visual Information for Deep Neural Network in Fighting Game
Mapping Data Sets to Concepts using Machine Learning and a Knowledge based Approach
Comparison of Online Exploration and Coverage Algorithms in Continuous Space
Rough Terrain Motion Planning for Actuated, Tracked Robots
Planning Graph Heuristics for Solving Contingent Planning Problems
A Knowledge Driven Policy Framework for Internet of Things
SACAM - A Model for Describing and Classifying Sentiment Analysis Methods
Shrinking the Inductive Programming Search Space with Instruction Subsets
Identifying Emotion in Organizational Settings - Towards Dealing with Morality
Towards a Digital Personal Trainer for Health Clubs - Sport Exercise Recognition Using Personalized Models and Deep Learning
Operations for Shape Transformations based on Angles
A General Approach to Distributed and Privacy-Preserving Heuristic Computation
Hierarchical Reinforcement Learning for Real-Time Strategy Games
Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application
Automatic Detection and Classification of Atmospherical Fronts
What do Objects Feel Like? - Active Perception for a Humanoid Robot
Abnormal Predicates: Learning Categorical Defaults from Probabilistic Rules
Tourism Forecast with Weather, Event, and Cross-industry Data
Multi-model Adaptive Learning for Robots Under Uncertainty
Enhanced Guided Local Search for Addressing the Graph Burning Problem
Rethinking our Defensive Strategy
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
"Majorly Adapted Translator": Towards Major Adaptation in ITS
Implementation of Quantum Machine Learning on Educational Data
Using Distributed CSPs to Model Business Processes Agreement in Software Multiprocess
Modeling Syntactic Knowledge With Neuro-Symbolic Computation
Full-Reference Predictive Modeling of Subjective Image Quality Assessment with ANFIS
Requisite Social Influence in Self-Regulated Systems
Multiple Agents Dispatch via Batch Synchronous Actor Critic in Autonomous Mobility on Demand Systems
Image Quality Assessment using ANFIS Approach
Recognition of Online Handwritten Gurmukhi Strokes using Convolutional Neural Networks