yusuke1997/dblp-id-title huggingface dataset:
Software-Technologien und -Prozesse: IT-Sicherheit und mobile Systeme ; Tagungsband zur 3. Konferenz STeP 2012, Hochschule Furtwangen, 10. Mai 2012
Improving Face Recognition Methods based on POEM Features
Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning
A Review of AutoML Software Tools for Time Series Forecasting and Anomaly Detection
Monitoring Agents in Complex Products - Enhancing a Discovery Robot with an Agent for Monitoring, Maintenance and Disaster Prevention
Improving Social Emotion Prediction with Reader Comments Integration
Detection of Distributed Attacks in Mobile Ad-hoc Networks using Self-organizing Temporal Neural Networks
A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy
Multi-Agent AI System for Adaptive Cognitive Training in Elderly Care
Segmented Glioma Classification Using Radiomics-Based Machine Learning: A Comparative Analysis of Feature Selection Techniques
Trading Bias for Expressivity in Artificial Learning
Hyperparameter Optimization for Deep Reinforcement Learning in Vehicle Energy Management
Simple Temporal Networks with Partially Shrinkable Uncertainty
An Extensive Comparison of Metrics for Automatic Extraction of Key Terms
A Global Path Planning Strategy for a UGV from Aerial Elevation Maps for Disaster Response
Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks
Plateau in a Polar Variable Complex-valued Neuron
Key Points for Realistic Agent-based Financial Market Simulations
Cargo Transportation Models Analysis using Multi-Agent Adaptive Real-Time Truck Scheduling System
Deep Reinforcement Learning for Pellet Eating in Agar.io
Bees Swarm Optimization Metaheuristic Guided by Decomposition for Solving MAX-SAT
Local Feature based Image Similarity Functions for kNN Classification
Convergence Analysis of a Multiagent Cooperation Model
Hierarchical Plan-Based Control in Open-Ended Environments: Considering Knowledge Acquisition Opportunities
Intercultural-role Plays for e-Learning using Emotive Agents
New Research Lines for Max-SAT - Exploiting the Recent Resolution Rule for Max-Sat
Comparing Beta-VAE to WGAN-GP for Time Series Augmentation to Improve Classification Performance
Gated Graph Convolutional Network for Aspect-Based Sentiment Analysis Emphasizing on Relational Reasoning
Applying Q-Learning to Non-Markovian Environments
SICAEN: A New Method to Determine the Impact of Severe Network Faults on Basic Telecommunication Services
Traffic Sign Orientation Estimation from Images Using Deep Learning
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, ICAART 2021, Volume 2, Online Streaming, February 4-6, 2021
ML-Based Virtual Sensing for Groundwater Monitoring in the Netherlands
Variance Reduction of Resampling with Medians for Sequential Monte Carlo
Efficiency in Persuasion Dialogues
Effects of Agents' Embodiment and Robot Anxiety Scale on Social Priming
Integrating Reasoning about Actions and Bayesian Networks
Evidencing the "Robot Phase Transition" in Human-agent Experimental Financial Markets
D-Rank: A Framework for Score Aggregation in Specialized Search
An ABM of the Development of Shared Meaning in a Social Group
Capture of Multi Intruders by Cooperative Multiple Robots using Mobile Agents
Service Selection for Service-Oriented Architecture using Off-line Reinforcement Learning in Dynamic Environments
All about Microtext - A Working Definition and a Survey of Current Microtext Research within Artificial Intelligence and Natural Language Processing
mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection
Consent Understanding and Verification for Personalized Assistive Systems
Efficient and Flexible Topic Modeling Using Pretrained Embeddings and Bag of Sentences
A Study of Decision-making Model Considering Priorities based on Two Kinds of Evaluation - Decision Making Methodology Applying Risk Evaluation based on Prospect Theory
Perception of Masculinity and Femininity of Agent's Appearance and Self-adaptors
Airline Disruption Management - Dynamic Aircraft Scheduling with Ant Colony Optimization
Resource Bounded Decision-theoretic Bargaining with Finite Interactive Epistemologies
Non-alternative Artificial and Natural Intelligences Partnership for Put up Shoot in and Return to Rational Co-evolution with Noosphere
PNEPs for Shallow Parsing - NEPs Extended for Parsing Applied to Shallow Parsing
A Hierarchical Clustering Based Heuristic for Automatic Clustering
The Power Index at Infinity: Weighted Voting in Sequential Infinite Anonymous Games
SIFT-ResNet Synergy for Accurate Scene Word Detection in Complex Scenarios
Conditions for Long Lasting Sustainable Innovation in an Agent-based Model
Agent-based Modeling of Indoor Evacuation Behavior under Stressful Psychological State
A Simple and Effective Convolutional Filter Pruning based on Filter Dissimilarity Analysis
Using Possibilistic Networks to Compute Learning Course Indicators
The Provider Rating Agreement Pattern for Solving the Provider Selection Problem
Feature Vector Approximation based on Wavelet Network
Allophone Group Selection Factors for Polish Speech Synthesis
Meta-learning of Exploration/Exploitation Strategies: The Multi-armed Bandit Case
Headway and Following Distance Estimation using a Monocular Camera and Deep Learning
Right-based Coordination for Environments with Changing Complexity - Results in Traffic Simulation
Responsible Agency
Social Laws for Multi-Agent Pathfinding
Formal Specification and Verification of Multi-Agent Robotics Software Systems - A Case Study
Tracking Assembly Processes and Providing Assistance in Smart Factories
ICAART 2015 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 2, Lisbon, Portugal, 10-12 January, 2015
Using Agents to Confront Some of the Challenges of Knowledge Management Systems
Narrative Economics of the Racetrack: An Agent-Based Model of Opinion Dynamics in In-play Betting on a Sports Betting Exchange
Explainability Insights to Cellular Simultaneous Recurrent Neural Networks for Classical Planning
Evaluating Reranking Methods based on Link Co-occurrence and Category in Wikipedia
F T E: A Fuzzy Timed Action Language
An Implemented System for Cognitive Planning
A Discrete Non-Additive Integral Based Interval-Valued Neural Network for Enhanced Prediction Reliability
Computational Creativity - Progress and Prospects
Detecting Misleading Information with LLMs and Explainable ASP
A New Parking Space Allocation System based on a Distributed Constraint Optimization Approach
Probabilistic Multi-Agent Plan Recognition as Planning (P-Maprap): Recognizing Teams, Goals, and Plans from Action Sequences
Assessing Routing Decisions of Search and Rescue Teams in Service of an Artificial Social Intelligence Agent
pdi-Bagging: A Proposal of Bagging-Type Ensemble Method Generating Virtual Data
Arabic Word Sense Disambiguation
Blending Dependency Parsers With Language Models
A Hybrid POMDP-BDI Agent Architecture with Online Stochastic Planning and Desires with Changing Intensity Levels
A Knowledge Based Framework for Case-specific Diagnosis
Enhancing Time Series Classification with Self-Supervised Learning
Privacy-Preserving Self-Organization in Distributed Energy Scheduling
Interactive Narration Requires Interaction and Emotion
SDfR - Service Discovery for Robots
An Audit Framework for Technical Assessment of Binary Classifiers
Voicemail Urgency Detection Using Context Dependent and Independent NLP Techniques
Bet-based Evolutionary Algorithms: Self-improving Dynamics in Offspring Generation
Cooperatively Transporting Unknown Objects using Mobile Agents
Complete Distributed Consequence Finding with Message Passing
Deep Reinforcement Learning Framework with Representation Learning for Concurrent Negotiation
Data Mining Tool for Decision Support in Stock Market
Uncertainty Guided Pseudo-Labeling: Estimating Uncertainty on Ambiguous Data for Escalating Image Recognition Performance
Rule-based Behavioral Reasoning on Semantic Business Processes
Updating a Logistic Discrimination Rule - Comparing Some Logistic Submodels in Credit-scoring
Agents and Artificial Intelligence - 16th International Conference, ICAART 2024, Rome, Italy, February 24-26, 2024, Revised Selected Papers, Part I
Improved Binary Elk Herd Optimizer with Fitness Balance Distance for Feature Selection Using Gene Expression Data
Materializing Distributed Skyline Queries
Multi-Agent Base Evacuation Support System Considering Altitude
Using NLP to Enrich Scientific Knowledge Graphs: A Case Study to Find Similar Papers
Model-free Learning from Demonstration
Hierarchical Constraint Logic Programming for Multi-Agent Systems
Handling Dynamic Multiobjective Problems with Particle Swarm Optimization
Analysing Customer Behaviour Using Simulated Transactional Data
Dynamic Service Reconfiguration and Enactment using an Open Matching Architecture
Adjusting Doctor's Reliance on AI Through Labeling for Training Data and Modification of AI Output in a Muscle Tissue Detection Task
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, ICAART 2024, Volume 3, Rome, Italy, February 24-26, 2024
Splitting-merging Clustering Algorithm for Collaborative Filtering Recommendation System
The Evolution of Criticality in Deep Reinforcement Learning
Whole Day Mobility Planning with Electric Vehicles
An AI using Construction Grammar: Automatic Acquisition of Knowledge about Words
Peer-to-Peer MapReduce Platform
Emergent Intelligence: A Novel Computational Intelligence Technique to Solve Problems
An Integrated System for School Timetabling
The Re-Use of Experience through the use of CBR in Information Systems Modelling
To Calibrate & Validate an Agent-based Simulation Model - An Application of the Combination Framework of BI Solution & Multi-agent Platform
Towards Adaptive Deep Reinforcement Game Balancing
Skin Cancer Classification using Deep Learning Models
Belief Revision on Modal Accessibility Relations
Classifier Aggregation using Local Classification Confidence
Brainstorming - Agent based Meta-learning Approach
Distributed Planning through Graph Merging
Searching the Optimal Combination of Fire Risks Reducing Measures at Oil and Gas Processing Facilities with the use of Genetic Algorithm
System for Intrusion Detection with Artificial Neural Network
Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images
Accountability, Responsibility, Transparency - The ART of AI
Overview of Interactive Genetic Programming Approaches for Conversational Agents
Simulating Human Activities to Investigate Household Energy Consumption
Evacuation Simulation through Formal Emotional Agent based Modelling
Task Management and Itenerary Planning - An Integrated View based on Multi-Agent Systems
Cohesion as a Tool for Maintaining the Functional Integrity of a Multi-agent System
Quantum-Efficient Kernel Target Alignment
Knowledge Representation & Reasoning in CRAM: A Cognitive Architecture for Robot Agents Accomplishing Everyday Manipulation Tasks
An Aggressive Feature Selection Technique for Rule-based Text Categorization
Optimizing Super-resolution Reconstruction using a Genetic Algorithm
Development of Agents for Creating Melodies and Investigation of Interaction between the Agents
Multi-Label Learning for Aspect Category Detection of Arabic Hotel Reviews Using AraBERT
Content Adaptation, Personalisation and Fine-grained Retrieval: Applying AI to Support Engagement with and Reuse of Archival Content at Scale
Efficient Spatial Reasoning with Rectangular Cardinal Relations and Metric Constraints
Machine-learned Behaviour Models for a Distributed Behaviour Repository
Machine-checked Verification of Cognitive Agents
On the Impact of Grounding on HTN Plan Verification via Parsing
An Automatic Approach to Feature Extraction
Towards a Robust, Distributed and Decentralised Smart Energy Management of Microgrids
Conceptual Approaches to Identify the Hazardous Scenarios in Safety Analysis for Automated Driving Systems
Hierarchical Roadmap Approach to Rough Terrain Motion Planning
Predicting Performance in Team Games - The Automatic Coach
Multiagent Coordination in Ad-hoc Networks based on Coalition Formation
Machine Learning for Predicting Traffic and Determining Road Capacity
Building a Time Series Action Network for Earthquake Disaster
Ontology-Based Solution for Building an Intelligent Searching System on Traffic Law Documents
Measures of Lexical Diversity and Detection of Alzheimer's Using Speech
Dynamic Repairing A*: a Plan-Repairing Algorithm for Dynamic Domains
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, Volume 3, Lisbon, Portugal, February 22-24, 2023
Unsupervised Learning of State Representation using Balanced View Spatial Deep InfoMax: Evaluation on Atari Games
Compression of GPS Trajectories Using Autoencoders
Mitigate Catastrophic Forgetting by Varying Goals
Dynamic Task Graphs for Teams in Collaborative Assembly Processes
Authorship Attribution using Variable Length Part-of-Speech Patterns
InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset
A Study on Negotiation for Revealed Information with Decentralized Asymmetric Multi-objective Constraint Optimization
Traffic Classification of Home Network Devices using Supervised Learning
Too Fast Too Furious - Faster Financial-market Trading Agents Can Give Less Efficient Markets
Behavior Clustering and Explicitation for the Study of Agents' Credibility: Application to a Virtual Driver Simulation
A Feature Engineering Focused System for Acoustic UAV Payload Detection
Agents for Serious Gaming - Challenges and Opportunities
Reptile Search Algorithm Based Feature Selection Approach for Intrusion Detection
Handling Preferences in Argumentation Frameworks with Necessities
Enhancing Personalized Decision-Making with the Balanced SPOTIS Algorithm
Evaluation of Dishonest Argumentation based on an Opponent Model: A Preliminary Report
A Delay-Aware DRL-Based Environment for Cooperative Multi-UAV Systems in Multi-Purpose Scenarios
Semantic Objective Functions: A Distribution-Aware Method for Adding Logical Constraints in Deep Learning
Neural Multi-agent-based Approach for Preventing Blackouts in Power Systems
Naive Bayesian Network for Automated, Fashion Personal Stylist
Dealing with "Very Large" Datasets - An Overview of a Promising Research Line: Distributed Learning
On Reducing Dimensionality of Dissimilarity Matrices for Optimizing DBC - An Experimental Comparison
Integrative System of Deep Classifiers Certification: Case of Convolutional Attacks
Blending NLP and Machine Learning for the Development of Winograd Schemas
Novel Lie Speech Classification by using Voice Stress
Mechanisms for Temporal Logic Implementation in Rule-based Systems
The Effects of Market Demand on Truthfulness in a Computing Resource Options Market
Tractable Generative Modelling of Cosmological Numerical Simulations
Convolutional Networks Versus Transformers: A Comparison in Prostate Segmentation
A Mechanism for Multi-unit Multi-item Commodity Allocation in Economic Networks
Reducing QUBO Density by Factoring out Semi-Symmetries
Combining Behavioral Experiments and Agent-based Social Simulation to Support Trust-aware Decision-making in Supply Chains
AdaBoost based Door Detection for Mobile Robots
A Declarative Model for Reasoning about Form Security
Blocking Underhand Attacks by Hidden Coalitions
A Multi-level Model for Multi-agent based Simulation
Evolving Art
Integrating Adaptation Patterns into Agent Methodologies to Build Self-adaptive Systems
Investigating Markov Logic Networks for Collective Classification
Sensorless Coil Temperature Measurements using Neural Networks for Voltage Control
Integration of Aggregated Information and Subjective Experience Through Sequential Information Presentation
NBDI: An Architecture for Goal-oriented Normative Agents
Trendspotter Detection System for Twitter
Probabilistic Connection between Cross-Validation and Vapnik Bounds
4-valued Logic for Agent Communication with Private/Public Information Passing
Video Game Agents with Human-like Behavior using the Deep Q-Network and Biological Constraints
Detecting 2D NMR Signals Using Mask RCNN
A Stochastic Model of Diffusion in Opinion Dynamics
Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem
A Flexible Semantic Integration Framework for Fully-integrated EHR based on FHIR Standard
Bridging the Semantic Gap in vGOAL for Verifiable Autonomous Decision-Making
Towards e-Conviviality in Web-based Systems
Team Distribution between Foraging Tasks with Environmental Aids to Increase Autonomy
Driving Towards a Sustainable Future: A Multi-Layered Agent-Based Digital Twin Approach for Rural Areas
Scalable Collaborative Filtering Based on Splitting-Merging Clustering Algorithm
Vectorization of Bias in Machine Learning Algorithms
Self-organized Cognitive Algebraic Neural Network
A Framework for Developing Robust Machine Learning Models in Harsh Environments: A Review of CNN Design Choices
A Probabilistic Approach to Represent Emotions Intensity into BDI Agents
Action Knowledge Acquisition with Opmaker2
Agents and Artificial Intelligence - 9th International Conference, ICAART 2017, Porto, Portugal, February 24-26, 2017, Revised Selected Papers
Cooperative Transportation Using Pheromone Agents
Comparative Analysis of CNNs and Vision Transformer Models for Brain Tumor Detection
Adapted Conflict Detection for Conflict Based Search
Real-time Active Vision for a Humanoid Soccer Robot using Deep Reinforcement Learning
Distributed Framework for Reversible Merging of Heterogeneous Robot Maps
Bioplausible Multiscale Filtering in Retinal to Cortical Processing as a Model of Computer Vision
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, ICAART 2025 - Volume 3, Porto, Portugal, February 23-25, 2025
RLAR: A Reinforcement Learning Abductive Reasoner
Hybridizing Ant Colony Systems and Tabu Search for a Vehicle Routing Problem with Time Windows
Post-hoc Explanation using a Mimic Rule for Numerical Data
Hierarchically Gated Experts for Efficient Online Continual Learning
An Artificial Hormone-based Algorithm for Production Scheduling from the Bottom-up
Multimodal Stock Price Prediction
Towards Low-Budget Real-Time Active Learning for Text Classification via Proxy-Based Data Selection
Implementation of a Realtime Event-location Analyzer
An Approach on Merging Agents' Trust Distributions in a Possibilitic Domain
Sentiment-Enriched AI for Toxic Speech Detection: A Case Study of Political Discourses in the Valencian Parliament
Optimizing Elevator Performance with SARL Multi-Agent Systems: A Distributed Approach for Enhanced Responsiveness and Efficiency
InsectDSOT: A Neural Network for Insect Detection in Olive Trees
Smart Home for Seniors: Opportunities and Challenges for AI
Time for a Good Argument
An Extended Paradefinte Belnap-Dunn Logic that is Embeddable into Classical Logic and Vice Versa
Nudging Automated Planners with Learned User Preferences
Development of Agents that Create Melodies based on Estimating Gaussian Functions in the Pitch Space of Consonance
Component & Service-based Agent Systems: Self-OSGi
Improving Controlled Text Generation via Neuron-Level Control Codes
Keeping Secrets in Modalized DL Knowledge Bases
Two-population Genetic Algorithm - An Approach to Improve the Population Diversity
Development of a New Fundamental Period Formula for Steel Structures Considering the Soil-structure Interaction with the Use of Machine Learning Algorithms
Investigation into the Training Dynamics of Learned Optimizers
Deep Reinforcement Learning and Transfer Learning Methods Used in Autonomous Financial Trading Agents
Latent Code Disentanglement Using Orthogonal Latent Codes and Inter-Domain Signal Transformation
Multimodal Web Agents for Automated (Dark) Web Navigation
Controlled Synthesis of Fibre-reinforced Plastics Images from Segmentation Maps using Generative Adversarial Neural Networks
Cooperation Mechanism for a Network Game
Contextual Online Imitation Learning (COIL): Using Guide Policies in Reinforcement Learning
A Multi-context Framework for Modeling an Agent-based Recommender System
Dynamic and Scalable Deep Neural Network Verification Algorithm
Model Driven Design of Multiagent Systems
Identifying Problematic Gamblers using Multiclass and Two-stage Binary Neural Network Approaches
A Study on Vulnerability Explanation Using Large Language Models
Manipulating Recommendation Lists by Global Considerations
Fair-Net: A Network Architecture for Reducing Performance Disparity between Identifiable Sub-populations
A Branch and Price Algorithm for Coalition Structure Generation over Graphs
Surprising Recipe Extraction based on Rarity and Generality of Ingredients
Model Driven Design of Agents and Multiagent Systems - DSML4MAS a Domain Specific Modelling Language for Multiagent Systems
Studying the Impact of Transportation During Lockdown on the Spread of COVID-19 Using Agent-Based Modeling
Pre-Trained Models and Fine-Tuning for Negotiation Strategies with End-to-End Reinforcement Learning
Data Mining and ANFIS Application to Particulate Matter Air Pollutant Prediction. A Comparative Study
Conversational Scaffolding: An Analogy-based Approach to Response Prioritization in Open-domain Dialogs
Adaptive Enhancement of Swipe Manipulations on Touch Screens with Content-awareness
Requirements Engineering Challenges and Techniques in Building Chatbots
Towards Cognitive Steering Behaviours for Two-wheeled Robots
Water Consumption Demand Pattern Analysis using Uncertain Smart Water Meter Data
On the Relationship with Toulmin Method to Logic-Based Argumentation
A Multiagent Framework for Querying Distributed Digital Collections
Social Utilities and Personality Traits for Group Recommendation: A Pilot User Study
Capturing User's Preferences using a Genetic Algorithm - Determining Essential and Dispensable Item Attributes
Lexical and Morpho-syntactic Features in Word Embeddings - A Case Study of Nouns in Swedish
Design of Scenario-based Application-optimized Data Replication Strategies through Genetic Programming
Smoothed Hex-grid Trajectory Planning using Helicopter Dynamics
Revisiting End-to-end Deep Learning for Obstacle Avoidance: Replication and Open Issues
Practical City Scale Stochastic Path Planning with Pre-computation
Coalition Structure Formation using Parallel Dynamic Programming
Sentiment-Aware Machine Translation for Indic Languages
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
On the Feasibility of Learning Bipolar Gradual Argumentation Semantics Using Neural Architectures
SMOTE: Are We Learning to Classify or to Detect Synthetic Data?
Relevant Facial Key Parts and Feature Points for Emotion Recognition
Diversifying Knowledge Enhancement of Biomedical Language Models Using Adapter Modules and Knowledge Graphs
An Adaptive Multi-Agent System for Ontology Co-evolution
Identification of Opinion and Ground in Customer Review Using Heterogeneous Datasets
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
RPI.Social: Simple Enactment and Execution of First-Class Agent Interaction Protocols
Balancing Exploitation and Exploration via Fully Probabilistic Design of Decision Policies
Modified Krill Herd Optimization Algorithm using Focus Group Idea
Japanese Text Classification by Character-level Deep ConvNets and Transfer Learning
Manipulation of Weighted Voting Games via Annexation and Merging
SAT: Segment and Track Anything for Microscopy
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
Bridging the Technology Gap between Industry and Semantic Web: Generating Databases and Server Code from RDF
Collision Avoidance Using Partially Controlled Markov Decision Processes
A Multi-agent System for Intelligent Building Control - Norm Approach
Approximate Conditional Independence Test using Residuals
Old English Universal Dependencies: Categories, Functions and Specific Fields
Model Smoothing using Virtual Adversarial Training for Speech Emotion Estimation using Spontaneity
Operational Semantic of an AgentSpeak(L) Interpreter Using Late Bindings