yusuke1997/dblp-id-title huggingface dataset:
Interactive Lungs Auscultation with Reinforcement Learning Agent
Bipartite Split-Merge Evolutionary Clustering
A MAS Model Approach to a Wind Farm Maintenance Strategy
Stability in Matching Problems with Weighted Preferences
Toward Crowdsourced Knowledge Graph Construction: Interleaving Collection and Verification of Triples
Constraint-Based Filtering and Evaluation of CSP Search Trees
Recommendation System for Student Academic Progress
Enhancing Manufacturing Quality Prediction Models Through the Integration of Explainability Methods
Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length
Object Detection for Autonomous Driving: Motion-aid Feature Calibration Network
A Prospect on How to Find the Polarity of a Financial News by Keeping an Objective Standpoint - Position Paper
Garment Returns Prediction for AI-Based Processing and Waste Reduction in E-Commerce
Using Mobile Devices for Topological Inference of Indoor Environments
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks
A Novel RL Framework for Early Configuration Space Exploration
Combining Uniform and Heuristic Search: Solving DSSSP with Restricted Knowledge of Graph Topology
A Lexicon-based Collaborative Filtering Approach for Recommendation Systems
Multi-Label Network Classification via Weighted Personalized Factorizations
Advances in Hybrid Evolutionary Algorithms for Fuzzy Flexible Job-shop Scheduling: State-of-the-Art Survey
Spatial Kernel Discriminant Analysis: Applied for Hyperspectral Image Classification
Operationalization of the Blending and the Levels of Abstraction Theories with the Timed Observations Theory
Fault Tolerance through Interaction and Mutual Cooperation in Hierarchical Multi-Agent Systems
Constraint-Handling with Support Vector Decoders
ASPERA: Exploring Multimodal Action Recognition in Football Through Video, Audio, and Commentary
PERSEUS: A Personalization Framework for Sentiment Categorization with Recurrent Neural Network
Transition of Model Performance in Dependence of the Amount of Data Corruption with Respect to Network Sizes
A Network Model for Price Stabilization
Confidence Measure for Experimental Automatic Face Recognition System
Towards Analysing the Sentiments in the Field of Automobile with Specific Focus on Arabic Language Text
Evolutionary Systems Agents' Mathematical Models
Using Blockchains for Agent-based Auctions
Hijacked Smart Devices - Methodical Foundations for Autonomous Theft Awareness based on Activity Recognition and Novelty Detection
Upside-Down Reinforcement Learning for More Interpretable Optimal Control
Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest
Improving Proceeding Test Case Prioritization with Learning Software Agents
Data Type Management in a Data Mining Application Framework
Towards a Resource-based Model of Strategy to Help Designing Opponent AI in RTS Games
Knowledge Modelling, Strategy Designing, and Agent Engineering for Reconnaissance Blind Chess
Reconstruction of Everyday Life Behaviour based on Noisy Sensor Data
Integrated Syntactic and Semantic Data Structuring - An Abstraction of Intelligent Man-machine Communication
Quorum Sensing Re-evaluation Algorithm for N-Site Selection in Autonomous Swarms
Maximum Tolerance and Maximum Greatest Tolerance - Weights and Threshold of Strict Separating Systems
Concepts in Action: Performance Study of Agents Learning Ontology Concepts from Peer Agents
Agents and Artificial Intelligence - 16th International Conference, ICAART 2024, Rome, Italy, February 24-26, 2024, Revised Selected Papers, Part II
Partially-controlled Markov Decision Processes for Collision Avoidance Systems
Negotiation Dialogue System Using a Deep Learning-Based Parser
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
The Characterisation and Optimisation of TLC NAND Flash Memory using Machine Learning - A Position Paper
A Search-based Approach to Annexation and Merging in Weighted Voting Games
A Pattern based Modelling for Self-organizing Multi-agent Systems with Event-B
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols
AGAGD - An Adaptive Genetic Algorithm Guided by Decomposition for Solving PCSPs
Logical Structure-based Pretrained Models for Legal Text Processing
Playstyle Generation for Geister With Genetic Algorithm and Clustering
Nested Rollout Policy Adaptation for Multiagent System Optimization in Manufacturing
DM-UAV: Dexterous Manipulation Unmanned Aerial Vehicle
Evolution of Cooperation in Packet Forwarding with the Random Waypoint Model
Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis
Keyword Extraction in German: Information-theory vs. Deep Learning
Scheduling Solution for Grid Meta-Brokering using the Pliant System
Why Robots Failed - Demonstrating the Superiority of Multiple-order Trading Agents in Experimental Human-agent Financial Markets
Evaluation of Database Technologies for Usage in Dynamic Data Models - A Comparison of Relational, Document Oriented and Graph Oriented Data Models
Mathematical Programming Approach for Adversarial Attack Modelling
Chop-SAT: A New Approach to Solving SAT and Probabilistic SAT for Agent Knowledge Bases
Functional Semantics for Non-prenex QBF
From Probabilistic Circuits to Probabilistic Programs and Back
Applied Deep Learning Architectures for Breast Cancer Screening Classification
Prediction of Cotton Field on Integrated Environmental Data
A Multi-modal Audience Engagement Measurement System
Decoupling State Representation Methods from Reinforcement Learning in Car Racing
Unravelling Bueno De Mesquita's Group Decision Model
Categorization of Similar Objects using Bag of Visual Words and Support Vector Machines
Heimatkunde: Dataset for Multi-Modal Historical Document Analysis
Impact of Error-making Peer Agent Behaviours in a Multi-agent Shared Learning Interaction for Self-Regulated Learning
Building TALAA, a Free General and Categorized Arabic Corpus
Design of an Intelligent Interface for the Software Mobile Agents using Augmented Reality
Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs
Winventor: A Machine-driven Approach for the Development of Winograd Schemas
Predicting Evacuation Capacity for Public Buildings
Aspectual Classifications: Use of Raters' Associations and Co-occurrences of Verbs for Aspectual Classification in German
The Life of Concepts: An ABM of Conceptual Drift in Social Groups
From Information Assistance to Cognitive Automation: A Smart Assembly Use Case
Autonomous Timed Movement based on Attractor Dynamics in a Ball Hitting Task
Sequential Hamiltonian Assembly: Enhancing the Training of Combinatorial Optimization Problems on Quantum Computers
Explainable Machine Learning for Trustworthy AI
Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson's Disease Detection
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization
Predicting Traffic Flow in Road Networks - Using Bayesian Networks with Data from an Optimal Plate Scanning Device Location
Automatic Political Profiling in Heterogeneous Corpora
Medical-treatment Recommendation and the Integration of Process Models into Knowledge-based Systems
Topological Visualization Method for Understanding the Landscape of Value Functions and Structure of the State Space in Reinforcement Learning
Towards Computational Models for a Long-term Interaction with an Artificial Conversational Companion
The Art of Balance - Problem-Solving vs. Pattern-Recognition
ICAART 2015 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, Lisbon, Portugal, 10-12 January, 2015
Bagged Ensembles for Blood Glucose Prediction: A Comparative Study
Filtering Relevant Facebook Status Updates for Users of Mobile Devices
Unified Framework for Implementing Inaccurate Knowledge in Quantum Symbolic Artificial Intelligence Models
Causal Campbell-Goodhart's Law and Reinforcement Learning
The Role of Stop-Loss Orders in Market Efficiency and Stability: An Agent-Based Study
Networks of Evolutionary Processors as Natural Parsers
Offline Evolution of Normative Systems
Management of Intelligent Vehicles: Comparison and Analysis
Disruption Management of ASAE's Inspection Routes
An Agent-based Information Customization System using CBR and Ontology
An Automatic Approach for Generation of Fuzzy Membership Functions
Modeling the Willingness to Interact in Cooperative Multi-robot Systems
Climbing the Ladder: How Agents Reach Counterfactual Thinking
Jason Agents for Knowledge-aware Information Retrieval Filters
Using Proof Failures to Help Debugging MAS
An Approach to Personalisation in e-Learning Social Environments
Language-based Games
Using Genetic Algorithms with Lexical Chains for Automatic Text Summarization
Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings
Agent-based Interdisciplinary Framework for Decision Making in Complex Systems
Decentralized Multi-agent Formation Control via Deep Reinforcement Learning
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, Volume 2, Lisbon, Portugal, February 22-24, 2023
Wall Climbing Emergent Behavior in a Swarm of Real-World Miniature Autonomous Blimps
Vessel Rotation Planning - A Layered Distributed Constraint Optimization Approach
Multi-agent Modeling Simulation of In-vitro T-cells for Immunologic Alternatives to Cancer Treatment
Enhancing Products by Embedding Agents: Adding an Agent to a Robot for Monitoring, Maintenance and Disaster Prevention
Consistency at the Core of Commonsense
Gait-based Recognition for Human Identification using Fuzzy Local Binary Patterns
Improved Predictive Fundamental Period Formula for Reinforced Concrete Structures through the Use of Machine Learning Algorithms
Meta-Ensemble Learning for Multi-Trait Optimization in Maize Breeding: Combining Gradient Boosting, Random Forests, and Deep Learning with SVM Integration
An Agent-based Approach to Decentralized Global Optimization - Adapting COHDA to Coordinate Descent
Paraconsistent Logic with Multiple Fuzzy Linguistic Truth-values
Emotion Contagion among Affective Agents - Issues and Discussion
Swapping Physical Resources at Runtime in Embedded MultiAgent Systems
Information Dissemination in Social Networks
An Artificial Dendritic Neuron Model Using Radial Basis Functions
Towards the Identification of Outliers in Satellite Telemetry Data by Using Fourier Coefficients
On Combining Domain Modeling and Organizational Modeling for Developing Adaptive Cyber-Physical Systems
A Survey of Socio-Emotional Strategies for Generation-Based Conversational Agents
Integrating golog++ and ROS for Practical and Portable High-level Control
Unsupervised Adaptation of the user Interests
Automatic Multilingual Lexicon Generation using Wikipedia as a Resource
Spatial-Temporal Graph Neural Network for the Detection of Container Escape Events
An Argumentation System with Indirect Attacks
Exposing Design Mistakes During Requirements Engineering by Solving Constraint Satisfaction Problems to Obtain Minimum Correction Subsets
Context-Aware Agents - The 6Ws Architecture
Possibilistic Morphological Disambiguation of Structured Hadiths Arabic Texts using Semantic Knowledge
Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures
Using Chatbot Technologies to Understand Natural Language Arguments
Construction of Football Agents by Inverse Reinforcement Learning Using Relative Positional Information Among Players
Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition
A Hybrid CNN-LSTM Model for Opinion Mining and Classification of Course Reviews
A Collaborative Approach to Multimodal Machine Translation: VLM and LLM
A Recommendation Algorithm for Personalized Online News based on Collective Intelligence and Content
Uncertainty Theories, Degrees of Truth and Epistemic States
FOREAL: RoBERTa Model for Fake News Detection based on Emotions
Toward Gamified Knowledge Contents Refinement - Case Study of a Conversation Partner Agent
Hand Gesture Recognition for Human Computer Interaction: A Comparative Study of Different Image Features
Adversarial Examples by Perturbing High-level Features in Intermediate Decoder Layers
A Top-down Approach to Combining Logics
LogAnswer in Question Answering Forums
Automatic Arabic Poem Generation with GPT-2
Using Chatbot Technologies to Support Argumentation
Ambiguous Lexical Resources for Computational Humor Generation
A Machine Learning Approach Using Interpretable Models for Predicting Success of NCAA Basketball Players to Reach NBA
Optimizing Sensor Redundancy in Sequential Decision-Making Problems
Rules for AI, Governanbility and the Common Interest of States to Create an International Artificial Intelligence Agency
Evolving Evaluation Functions for Collectible Card Game AI
Exploring Contextualized Tag-based Embeddings for Neural Collaborative Filtering
Negotiation Policies for Provisioning of Cloud Resources
An Evolutionary View of Collective Intelligence
Reinforcement Learning Explained via Reinforcement Learning: Towards Explainable Policies through Predictive Explanation
See Emergence as a Metaknowledge - A Way to Reify Emergent Phenomena in Multiagent Simulations?
Polish Texts Topic Classification Evaluation
Mining Substitution Rules: A Knowledge-based Approach using Dynamic Ontologies
On Enhancing Code-Mixed Sentiment and Emotion Classification Using FNet and FastFormer
Learning from Demonstration - Automatic Generation of Extended Behavior Networks for Autonomous Robots from an Expert's Demonstration
Agent Approach to Situation Assessment
Map Exploration using a Line-based Formation of Mobile Robots
Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems
Analysis of Gaze Behavior for Constructing Learning Support Systems of Pass Behavior in First Person Perspective
Evolving Robust Robot Controllers for Corridor Following using Genetic Programming
On the Combination of Game-Theoretic Learning and Multi Model Adaptive Filters
Predicting Emotion Before an Utterance: Replacing Contextual Information with Knowledge-Based Prediction
A PSO based Approach to Assign Segments for Reducing Excavated Soil in Shield Tunneling
Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches
A Proposal for Selecting the Most Value-Aligned Preferences in Decision-Making Using Agreement Solutions
Beyond Discrete Environments: Benchmarking Regret-Based Automatic Curriculum Learning in MuJoCo
A Multitier Approach for Dynamic and Partially Observable Multiagent Path-Finding
Agents and Semantics for Human Decision-Making
A Comparison between Asynchronous Backtracking Pseudocode and its JADEL Implementation
Wildlife Species Classification on the Edge: A Deep Learning Perspective
Prediction for Control Delay on Reinforcement Learning
Intentional Mobile Agents in Ubiquitous Systems
A Supervised Learning Approach to Robust Reinforcement Learning for Job Shop Scheduling
Design of Automatically Adaptable Web Wrappers
Detecting Narcissist Dark Triad Psychological Traits from Twitter
Classifying Words with 3-sort Automata
Developing a Formal Model of Argumentation-based Dialogue
A Time-Varying Model to Simulate a Collective Decisional Problem
A Survey of Deep Learning: From Activations to Transformers
Agent-based MapReduce Processing in IoT
Three Differential Emotion Classification by Machine Learning Algorithms using Physiological Signals - Discriminantion of Emotions by Machine Learning Algorithms
An Enhanced Ant Colony Optimization for Routing Area Mobility Prediction over Cellular Communications Network
Exploration Methods for Connectionist Q-learning in Bomberman
Automatic Configuration of Service Directories in Multiagent Systems
Constraint-handling for Optimization with Support Vector Surrogate Models - A Novel Decoder Approach
Affordable Remote Terminal for Sensor Observation Service
Ensemble of Neural Networks to Forecast Stock Price by Analysis of Three Short Timeframes
DriveToGæther: A Turnkey Collaborative Robotic Event Platform
On the Prediction of a Nonstationary Bernoulli Distribution based on Bayes Decision Theory
Quantum Annealing for Constraint Satisfaction and Constrained Optimization
Addressing the Ethical Implications of AI Models Developed: A Case Study of Master's Degree Dissertations in Data Science for Industry and Society
Improving Transfer Learning Performance: An Application in the Classification of Remote Sensing Data
The Genoa Artificial Power-Exchange
Visibility Forecast for Airport Operations by LSTM Neural Network
Programming Reactive Agent-based Mobile Robots using ICARO-T Framework
Predictive Learning from Demonstration
Organization as a Multi-level Design Pattern for Agent-based Simulation of Complex Systems
MP-ABT: A Minimal Perturbation Approach for Complex Local Problems
Dimensionality Reduction on the SPD Manifold: A Comparative Study of Linear and Non-Linear Methods
An Efficient Compilation-Based Approach to Explaining Random Forests Through Decision Trees
Human-agent Explainability: An Experimental Case Study on the Filtering of Explanations
Unfolding Ensemble Training Sets for Improved Support Vector Decoders in Energy Management
Tuniset: The Tunisian Dataset for Emotion Analysis on Online Social Networks
Dealing with the Unpredictability of Physical Resources in Real-World Multi-agent Systems
Probabilistic Cognitive Maps - Semantics of a Cognitive Map when the Values are Assumed to be Probabilities
A Heuristic for Constrained Set Partitioning in the Light of Heterogeneous Objectives
Price-setting based Combinatorial Auction Approach for Carriers' Collaboration in Less than Truckload Transportation
Digital Analysis of Beautiful Facial Expressions
Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-sided Label Shifts
Models with Verbally Enunciated Explanations: Towards Safe, Accountable, and Trustworthy Artificial Intelligence
Duality in Some Intuitionistic Paraconsistent Logics
Normative Approach for Socio-physical Computing - An Application to Distributed Tangible Interaction
Transformers for Low-resource Neural Machine Translation
Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming
Time Series Prediction Models for Diabetes: A Systematic Literature Review
Perceiving the Focal Point of a Painting with AI: Case Studies on Works of Luc Tuymans
Web Page Summarization by using Concept Hierarchies
Supervised Learning for Untangling Braids
Monte Carlo Tree Search in The Octagon Theory
Reinforcement Learning in the Load Balancing Problem for the iFDAQ of the COMPASS Experiment at CERN
Receiving Messages in Their Correct Order: Analyzing Broadcast Protocols in Dynamic Epistemic Logics
Comparison of Surveillance Strategies to Identify Undesirable Behaviour in Multi-Agent Systems
Reducing Sample Complexity in Reinforcement Learning by Transferring Transition and Reward Probabilities
Embryo Development Stage Onset Detection by Time Lapse Monitoring Based on Deep Learning
Balancing the Trinity of Feature Selection
GREE-COCO: Green Artificial Intelligence Powered Cost Pricing Models for Congestion Control
Towards Hierarchical Probabilistic CTL Model Checking: Theoretical Foundations
Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data
GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning
Predicting Cognitive Impairments with a Mobile Application
The Bochica Framework for Model-Driven Agent-Oriented Software Engineering
Unsupervised Word Sense Disambiguation based on Word Embedding and Collocation
Training AI to Recognize Realizable Gauss Diagrams: The Same Instances Confound AI and Human Mathematicians
DLVGen: A Dual Latent Variable Approach to Personalized Dialogue Generation
Reasoning on Data: Challenges and Application
Online Learning of non-Markovian Reward Models
Using Word Sense as a Latent Variable in LDA Can Improve Topic Modeling
Learning from Monte Carlo Rollouts with Opponent Models for Playing Tron
Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures
Cooperative Self-organization of Agents for Optimization - The Electrical Wiring Example
Concepts Extraction based on HTML Documents Structure
Nearest Neighbours and XAI Based Approach for Soft Labelling
Combining Petri Nets and AI Techniques to Improve Dynamic Production Scheduling Optimization
Detecting Influence in Wisdom of the Crowds
A Many-valued Semantics for Multi-agent System
Inconsistency-tolerant Hierarchical Probabilistic Computation Tree Logic and Its Application to Model Checking
P2Ag: Perception Pipeline in Agriculture for Robotic Harvesting of Tomatoes
Coordination, Synchronization and Localization Investigations in a Parallel Intelligent Robot Cellular Automata Model that Performs Foraging Task
Ontology of Offers According to Ingarden's Theory of Individual Objects
Statistical Language Identification of Short Texts
Testing and Training Theory of Mind for Hybrid Human-agent Environments
An Ontology-based Web Crawling Approach for the Retrieval of Materials in the Educational Domain
Coordination in Open and Unstructured Intelligent Agent Societies - Using Distributed Planners on Top of a Semantic Overlay Network
Exploring the Context of Recurrent Neural Network based Conversational Agents
Contour-Net - A Model for Tactile Contour-tracing and Shape-recognition
The Complexity of Manipulating k-Approval Elections
Sentiment Analysis of Serious Suicide References in Twitter Social Network
Parsing Tree Adjoining Grammars using Evolutionary Algorithms
Tackling Train Routing via Multi-agent Pathfinding and Constraint-based Scheduling
Improving Decision-Making-Process for Robot Navigation Under Uncertainty
Knowledge Gradient Exploration in Online Least Squares Policy Iteration
Towards Formal and Deduction-based Analysis of Business Models for SOA Processes
Bottom-up Japanese Word Ordering Using BERT
Lazy Agents for Large Scale Global Optimization
Knowledge-driven Harmonization Model for Tonal Music
A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification
Adaptive Classifiers: Applied to Radio Waveforms
Multiple Pursuers TrailMax Algorithm for Dynamic Environments
A Robot Waiter that Predicts Events by High-level Scene Interpretation
MOTIF: A Framework for Enhancing the Profiling Module of Generative Agents that Simulate Human Behavior
The Role of Architectures and Information Availability for Anomaly Detection in Cyber-Physical Energy Systems
A Planning and Scheduling Perspective for Designing Business Processes from Declarative Specifications
How to Box Your Cells: An Introduction to Box Supervision for 2.5D Cell Instance Segmentation and a Study of Applications
CONEMAF: A Modular Multi Agent Framework for Autonomic Network Management
Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing
Task Handover Negotiation Protocol for Planned Suspension based on Estimated Chances of Negotiations in Multi-agent Patrolling
Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis
Optimizing Automotive Inventory Management: Harnessing Drones and AI for Precision Solutions
Distributed Theory of Mind in Multi-Agent Systems
Towards an Effective Decision-making System based on Cow Profitability using Deep Learning
Logics and Translations for Inconsistency-tolerant Model Checking
Approximate Probabilistic Inference for Time-Series Data: A Robust Latent Gaussian Model with Temporal Awareness
Bringing NL Back with P: Defending Linguistic Methods in NLP for Future AI Applications
Bilinear Multi-Head Attention Graph Neural Network for Traffic Prediction
Strategy Tree Construction and Optimization with Genetic Programming
Towards a Foundation for Intelligent Contracts
Combining Self-motivation with Logical Planning and Inference in a Reward-seeking Agent
Feature Selection Applied to Human Tear Film Classification