yusuke1997/dblp-id-title huggingface dataset:
An Interactive Model for Steering Behaviors of Groups of Characters
Recognition and Generation of word form for natural language understanding systems: Integrating two-level morphology and feature unification
Bi-Modal Bi-Task Emotion Recognition Based on Transformer Architecture
Research on Path Optimization Method for Warehouse Inspection Robot
Intelligent Extraction of Multi-style and Multi-template Title Block Information Based on Fuzzy Matching
Obituary For Leon S. Levy
Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison
State of Applications in AI Researches from AI*IA 2005
Assessing Alternative Technologies for the Cost-Effective Computation of Derivatives
Enhancing MIMO Antenna Isolation with Novel Electromagnetic Band Gap (EBG) Structure and Genetic Algorithm Optimization
Machine Learning Meets Human-Computer Interaction - Introduction to the Special Issue
Evaluating the Efficacy of Small Face Recognition by Convolutional Neural Networks with Interpolation Based on Auto-adjusted Parameters and Transfer Learning
An Overview of Data Mining for Combating Crime
Optimizing Fraudulent Firm Prediction Using Ensemble Machine Learning: A Case Study of an External Audit
A greenhouse modeling and control using deep neural networks
A New Approach for Predicting the Future Position of a Moving Object: Hurricanes' Case Study
Combining opinions form several experts
Future Challenges of Particulate Matters (PMs) Monitoring by Computing Associations Among Extracted Multimodal Features Applying Bayesian Network Approach
Egalitarian Negotiations in Agent Societies
A Recurrent Neural Network approach for whole genome bacteria identification
R-STDP Based Spiking Neural Network for Human Action Recognition
The Emerging Threat of Ai-driven Cyber Attacks: A Review
Intelligent Automatic Landing System Using Time Delay Neural Network Controller
A Web-Based Environment to Support Online and Collaborative Group Recommendation Scenarios
Anomaly Detection Using Siamese Network with Attention Mechanism for Few-Shot Learning
Image Thresholding Improved by Global Optimization Methods
The S-Ethos System: A Methodology for Systematic Flight Analysis Centered on Human Factors
Boosting One-Class Support Vector Machines for Multi-Class Classification
Comparison of Two Types of Event Bayesian Networks: A Case Study
Classification of Cabernet Sauvignon from Two Different Countries in South America by Chemical Compounds and Support Vector Machines
Segmentation of Tuta Absoluta's Damage on Tomato Plants: A Computer Vision Approach
Smart Control of Home Appliances Using Hand Gesture Recognition in an IoT-Enabled System
Special issue on artificial intelligence: Future, Impacts, Challenges - Part 3
A Combination of Support Vector Machine and k-Nearest Neighbors for Machine Fault Detection
Consistency checking along time
Abnormal driving behavior detection based on an improved ant colony algorithm
A Method to Plan the Path of a Robot Utilizing Deep Reinforcement Learning and Multi-Sensory Information Fusion
Intelligent Food Safety: A Prediction Model Based on Attention Mechanism and Reinforcement Learning
Lagrangian Duality with ELM for Word Sense Multiprototype Discovery
Proposed RCFS-CARS Framework with Noise Detection and Correction
Isrst: Generating Interesting Multimedia Stories on the Web
An Algorithmic Scheme for Statistical Thesaurus Construction in a Morphologically Rich Language
Innovative Intelligent Navigation System by Applying Fuzzy Logic and Cell Assemblies in Rescuing Robot
A Comparison of Algorithms for Handheld Wand Tracking
Innovative Development Measures of the Chinese Medicine Industry in Industrial Big Data with the Aid of AI in the Context of an Imperfectly Competitive Market Economy
Artificial Neural Networks and Advanced Fuzzy Techniques for Predicting Noise Level in the Industrial Embroidery Workrooms
Applying Semantic Technology to Business News Analysis
A Neural Network Based Approach for Measurement Dynamics Compensation
Machine Learning: A Tool to Support Usability?
Diagnosis with a function-fault model
Exploring Healthcare and Public Health Implications via Temporal Analysis of Human-Virus Interactions Leveraging Adversarial Networks and Saliency Maps
Discovering Causal Rules in Relational Databases
Ststistical Analysis of Vehicles' Vibration Due to Road Roughness Using Radial Basis Artificial Neural Netword
Dynamic Resource Allocation Using Improved Firefly Optimization Algorithm in Cloud Environment
Can Artificial Intelligence Boost Employment in Service Industries? Empirical Analysis Based on China
Fuzzy Clustering-Based Formal Concept Analysis for Association Rules Mining
Natural Language Plurals in Logic Programming Queries
Automatic Type Detection of 311 Service Requests Based on Customer Provided Descriptions
Question Answering Using Question Classification and Document Tagging
Integrating Feature Extractors for the Estimation of Human Facial Age
Intelligent System for Robotic Navigation Using ANFIS and ACOr
Trust-Based Consensus and ABAC for Blockchain Using Deep Learning to Secure Internet of Things
Cyber Battle Management Systems (CBMS) is Considered as Systems of Systems (SoS) and Emergent Behavior is Present, where Viable System Model (VSM) only Controls System Variety
Construction of Real-time Dynamic Reversible Lane Safety Control Model in Intelligent Vehicle Infrastructure Cooperative System
Time Series Analysis of Land Surface Temperature and Drivers of Urban Heat Island Effect Based on Remotely Sensed Data to Develop a Prediction Model
Improving Naive Bayes for Regression with Optimized Artificial Surrogate Data
Asynchronous production system for control of an autonomous mobile robot in real-time environment
XML Dataspaces for the Coordination of Internet Agents
A Kst-Based System for Student Tutoring
Numeric Mapping and Learnability of Naive Bayes
Towards Automated Frequency Response Analysis of Power Transformers with Deep Learning
Above-ground Biomass Wheat Estimation: Deep Learning with UAV-based RGB Images
A New PSO-based Algorithm for Two-Dimensional Non-Guillotine Non-Oriented Cutting Stock Problem
Augmenting experience-based diagnosis with causal reasoning
A Comparative Study of Artificial Intelligence Models for Predicting Interior Illuminance
System Logs Anomaly Detection. Are we on the right path?
Semantic analysis and in-depth understanding of technical texts
Reinforcement learning with classifier systems: Adaptive default hierarchy formation
Petri-Net Modeling and Prototype of a Multimicrostrip Antennae Network Fuzzy Controlled System for Picosatellites
Characterizing knowledge depth in intelligent safety systems
Fact or Fake? How News Title, Sentiment and Writing Style help AI to detect COVID-19 Fake News?
A Data Mining Approach for Developing Online Streaming Recommendations
A Survey on the Evolution of the Notion of Context-Awareness
Turnover Prediction in a Call Center: Behavioral Evidence of Loss Aversion using Random Forest and Naïve Bayes Algorithms
Optimal Feature Set and parameter Selection for Power Quality Data Mining
The symbolic-numeric interface: a "Zosteric" approach
Pattern recognition of soldier uniforms with dilated convolutions and a modified encoder-decoder neural network architecture
Predicting Bank Failures: A neural network approach
A Human-In-One-Loop Active Domain Adaptation Framework for Digit Recognition
Multi-objective Optimization for Green Delivery Routing Problems with Flexible Time Windows
Fuzzy Interpretation of the Discharge Coefficient for the Orifice Plate of Automated Flow Rate Measuring Systems
The Computer's subconscious
Functional representation and reasoning for reflective systems
An Unsupervised Incremental Learning Algorithm for Domain-Specific Language Development
Integration of warrior artificial intelligence and leadership reflexivity to enhance decision-making
Recurrent Neural Network to Forecast Sprint Performance
Artificial Intelligence and Graph Theory Tools for Describing Switched Linear Control Systems
A Neural Basis Computational Model of Emotional Brain for Online Visual Object Recognition
Comparison of Performance of Data Imputation Methods for Numeric Dataset
Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model
Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector
Acoustic Emission-Based Prognostics of Slow Rotating Bearing Using Bayesian Techniques Under Dependent and Independent Samples
Autonomous Agents for Business Process Management
Learning Drifting Negotiations
Crystal Cube: Forecasting Disruptive Events
Neural Networks and Hausdorff Distance Applied to Number Recognition in Electrical Meters
From image sequences to natural language: a First step toward automatic perception and description of motions
Accurate Computation of Vocal Tract Filter Parameters Using a Hybrid Genetic Algorithm
Use of Socio-economic, Climatic, and Land use Land Cover Patterns in Solid Waste Forecasting with Integrated Gradient LSTNet Based Model in Lomé, Togo
Classification Similarity Learning Using Feature-Based and Distance-Based Representations: A Comparative Study
End-to-End Convolutional Neural Network Feature Extraction for Remote Sensed Images Classification
Close Encounters of the Virtual Kind: Agents Simulating Copresence
Intelligent Open Switch Fault Detection for Power Converter in Wind Energy System
Can machine learning solve my problem?
Function-based reasoning: An introduction
A Visual Navigation System for UAV under Diverse Illumination Conditions
Control of Dead-Time Systems Using Hybrid Ant Colony Optimization
What Does AI Contribute to Hydrology? Aerial Photos and Flood Levels
Machine Learning Techniques Applied to Data Analysis and Anomaly Detection in ECG Signals
Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option
An implementation architecture of knowledge-based system for engine diagnosis
The SAGE Framework for Explaining Context in Explainable Artificial Intelligence
English Translation proofreading System based on Information Technology: Construction of semantic Ontology Translation Model
Fuzzy Prediction for Failed Back Surgery Syndrome
Simultaneous State estimation and Learning in repeated Cournot Games
The Grid-E-Card: Architecture to Share Collective Intelligence on the Grid
Performance Comparison of Recent Imputation Methods for Classification Tasks over Binary Data
Selection of discrete Wavelets for Fault Diagnosis of monoblock centrifugal Pump using the J48 Algorithm
A New Hybrid Under-sampling Approach to Imbalanced Classification Problems
A Classification Model for Predicting Fetus with down Syndrome - A Study from Turkey
Dance Video Motion Recognition Based on Computer Vision and Image Processing
Using Specification and Description Language to Formalize Multiagent Systems
Indoor and Outdoor Classification Using Light Measurements and Machine Learning
Adaptive Neuro-Fuzzy Inference System for Automatic Sleep Multistage Level Scoring Employing EEG, EOG, and EMG Extracted Features
Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review
Anomaly Detection for Cyber Internet of Things Attacks: A Systematic Review
A Proposal of an Animal Detection System Using Machine Learning
Modeling Incomplete Knowledge of Semantic Web Using Bayesian Networks
Investigation on the Evolution of an Indoor robotic Localization System Based on Wireless Networks
An Adapted Ant Colony Optimization for Feature Selection
A Novel Approach to Efficient Resource Allocation in NOMA Heterogeneous Networks: Multi-Criteria Green Resource Management
Quality Parameter Adaptive Optimization for Spinning Process Using Dynamic Non-Dominated Sorting Algorithm
Machined Surface roughness Prediction using Adaptive Neurofuzzy Inference System
Exploring an Innovative Moral Education Cultivation Model in Higher Education through Neural Network Perspective: A Preliminary Study
Supervised Learning Algorithms for Famine Prediction
Software and Performance Measures for Evaluating Multi-Agent Frameworks
Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models
Evolving Recurrent Neural Network using Cartesian Genetic Programming to Predict The Trend in Foreign Currency Exchange Rates
In situ Efficiency Determination of Induction Motor: a Comparative Study of Evolutionary Techniques
An Unsupervised Detection Method for Multiple Abnormal Wi-Fi Access Points in Large-Scale Wireless Network
Violence Detection in Videos by Combining 3D Convolutional Neural Networks and Support Vector Machines
Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks
Towards Explainable Machine Learning for Prediction of Disease Progression
Advancing Bridge Construction Monitoring: AI-Based Building Information Modeling for Intelligent Structural Damage Recognition
Complex Interval-Valued q-Rung Orthopair 2-Tuple Linguistic Aggregation Operators and Their Application in Multi-Attribute Decision-Making
Cooperative seismic data interpretation for nuclear test ban treaty verification
Machine learning in transportation engineering: A feasibility study
Immunological Algorithm-based Neural Network Learning for Sales Forecasting
Modeling the Production of Coverbal Iconic Gestures by Learning Bayesian Decision Networks
Horse Herd Optimization Algorithm for Fuel Constrained Day-ahead Scheduling of Isolated Nanogrid
Prediction of stock return by LSTM neural network
A Genetic Algorithm Approach To Minimize Transmission Error Of Automotive Spur Gear Sets
Enhancing Intent Classifier Training with Large Language Model-generated Data
Predicting the Contribution of Mining Sector to the Gross Domestic Product (GDP) Index Utilizing Heuristic Approaches
An AI Electrical Ground Support Equipment for Controlling and Testing a Space Instrument
Pragmatic attachment devices for conversations with tutors
Scheduling of Virtual Cellular Manufacturing Systems: A Biogeography-Based Optimization Algorithm
Religion, Robots and Rectitude: Communicative Affordances for Spiritual Knowledge and Community
Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms
A Multicriteria Collaborative Filtering Approach Using the Indifference Relation and its Application to Initiator Recommendation for Group-Buying
A Hybrid Intelligent Multiagent System for the Remote Control of Solar Farms
Resource Management In Wideband CDMA Systems Using Genetic Algorithms
A Spatiotemporal Model of Human Circadian Rhythm in Smart Homes
Choice of words in the generation process of a natural language interface
Automatic Extraction of Go Game Positions from Images: a Multi-Strategical Approach to Constrained Multi-Object Recognition
From Roles to Teamwork: A Framework and Architecture
Inference Procedures for Fuzzy Knowledge Representation Scheme
Guest Editorial: First-Order Knowledge Discovery in Databases
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems
Application of Immunological and Swarm Intelligence Learning-Based Algorithm for Industrial Grade Computer Sales Prediction
Artificial intelligence: Perspectives and Predictions
Hybrid Attention-based Approach for Arabic Paraphrase Detection
Spatial-temporal Offshore Current Field Forecasting Using Residual-learning Based Purely CNN Methodology with Attention Mechanism
IHML: Incremental Heuristic Meta-Learner
An Empirical Job Matching Model based on Expert Human Knowledge: A Mixed-Methods Approach
Knowledge-based system for assessment of potential entrepreneurs
Designing of a Risk Assessment Model for Issuing Credit Card Using Parallel Social Spider Algorithm
Requirements for a classification expert system shell and their realization in Med 2
Localizing the Iris through Memetic Algorithms
Toward Socially Intelligent Service Robots
Adaptive sliding mode control for trajectory tracking of nonholonomic mobile robot with uncertain kinematics and dynamics
A Personalized Tourist Trip Design Algorithm for Mobile Tourist Guides
Reasoning for automated model integration
Fuzzy Spatiotemporal Data Modeling and Operations in XML
An open system approach to integration of expert systems
Spectrogram Features-Based Automatic Speaker Identification For Smart Services
Performance Comparison of Optimization Techniques on Robust Digital-Image Watermarking, against Attacks
DAG Scheduling in Heterogeneous Computing and Grid Environments Using Variable Neighborhood Search Algorithm
An Intelligent Human Age and Gender Forecasting Framework Using Deep Learning Algorithms
Lane Detection Based on Instance Segmentation of BiSeNet V2 Backbone Network
A Multiagents System to Create Control Agents
Knowledge-Based Validation for Hydrological Information Systems
Dormitory Assignment Using a Genetic Algorithm
Quasi-experimental quality evaluation of educational-purposed user-generated contents under a stochastic multi-criteria environment
Multi-Agent Systems For Decision Support: A Case Study In The Transportation Management Domain
Fifteen Years of Recommender Systems Research in Higher Education: Current Trends and Future Direction
A Keyhole Plan Recognition Model for Alzheimer's Patients: First Results
Semi-supervised Classification of Fraud Data in Commercial Auctions
A knowledge-based system for course scheduling
That what, the how, and the shy in design
Qualitative modeling photosynthesis
Machining Process Planning of Prismatic Parts Using Case-Based Reasoning and Past Process Knowledge
A Multiobjective Discrete Grey Wolf Optimization Approach for Transactional and QoS-driven Web Services Composition
Inferring and revising theories with confidence: analyzing bilingualism in the 1901 canadian census
Agent-Based Approach for Manufacturing Integration: The Ciimplex Experience
A new Method for Generating Fuzzy Rules from Numerical Data for Handling Classification Problems
BreastCNN: A Novel Layer-based Convolutional Neural Network for Breast Cancer Diagnosis in DMR-Thermogram Images
On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods
Species-Based Chaotic Hybrid Optimizing Algorithm and its Application in Image Detection
Cooling Load Prediction in a District Heating and Cooling System through Simplified Robust Filter and Multilayered Neural Network
Eva: an Evolutionary Approach to Mutual Monitoring of Learning Information Agents
Intelligent Grasping with the Robotic Opposable Thumb
Support Vector Machines (SVMs) with Universal Kernels
An Analysis of multiobjective Evolutionary Algorithms for Optimization Problems with Time Constraints
Automatic Detection of Learner's Affect from Gross Body Language
An improved PSO algorithm with genetic and neighborhood-based diversity operators for the job shop scheduling problem
Common-Sense Spatial Reasoning for Information Correlation in Pervasive Computing
Mechanism Type Synthesis Based On Self-Assembling Agents
Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude
A Prolog Approach to image segmentation
Robust Boosted Parameter Based Combined Classifier for Rotation Invariant Texture Classification
XML for Libraries, Archives, and Museums: The Project Covax
Document skew Estimation and Correction: Analysis of Techniques, Common Problems and Possible solutions
Conditional causal modeling
Anfis and Neural Networks Systems for Multiplicity Distributions in proton-proton Interactions
A Decentralized Approach for Detecting Dynamically Changing Diffuse Event Sources in noisy WSN Environments
Food Constituent Estimation for Lifestyle Disease Prevention by Multi-Task CNN
Decode to Channel Binary Block Codes Based on Neural Networks and Genetic Algorithm
Stereo Image Processing Procedure for Vision Rehabilitation
Unified approach to learning for complex real-world domains
A Methodological Approach for Designing and Evaluating Intelligent Applications for Digital Collections
Assessing the Performance of a Waste Characterization Expert System
A Novel Machine Learning Based Framework for Detection of Autism Spectrum Disorder (ASD)
Effectiveness of Support Vector Machine for Crime Hot-Spots Prediction
Endomorphic modeling concepts for high-autonomy architectures
Homicide and Its Social Context: Analysis Using the Self-Organizing Map
Natural language generation and hypertext access
Optimal Input Variables Disposition of Artificial Neural Networks Models for Enhancing Time Series Forecasting Accuracy
Software Agent Foundation for Dynamic Interactive Electronic Catalogs
Reuse Machining Knowledge for Generating Process Plans or Axisymmetric Parts Based in Case-Based Reasoning
An intelligent tuning control technique
multistrategy learning for document recognition
Semantic Metrics: Metrics Based on Semantic Aspects of Software
Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks
Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks
Holonic Transport Scheduling with Teletruck
Predicting education building occupants' thermal sensation through CatBoost-DF algorithm
AMACOIA: A Multiagent System for Designing Flexible Assembly Lines
Experimental Implementation of an Artificial Immune System on a Robotic Manipulator
Algorithms Analysis in Adjusting the SVM Parameters: An Approach in the Prediction of Protein Function
Toward a Language-independent generator of sentences
Bayesian Convolutional Neural Network-based Models for Diagnosis of Blood Cancer
Stereo Camera Calibration using Particle Swarm Optimization
Enhancing the Human Health Status Prediction: The ATHLOS Project
Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset
Defining Topic Boundaries in Search Engine Transaction Logs Using Genetic Algorithms
Affect In Tutoring Dialogues
Derivation of Priorities and Weights for Set-Valued Matrices Using the Geometric Mean Approach
Combined Method of Genetic Programming and Association Rule Algorithm
Tradares: A Tool for the Automatic Evaluation of Human Translation Quality within a MOOC Environment
Development and Evaluation of an Attendance Tracking System Using Smartphones with GPS and NFC
Clustering with Pairs of Prototypes to Support Automated Assessment of the Fetal State
Improving the Accuracy of Decision Tree Induction by Feature Presentation
STRATUM: A Methodology for Designing Heuristic Agent Negotiation Strategies
Analysis of Vision Based Systems to Detect Real Time Goal Events in Soccer Videos
A Comprehensive Literature Review of Application of Artificial Intelligence in Functional Magnetic Resonance Imaging for Disease Diagnosis
Ensembling Regression Models to Improve their Predictivity: a Case Study in QSAR (Quantitative Structure Activity Relationships) with Computational Chemometrics
Investigation of the K2 Algorithm in Learning Bayesian Network Classifiers
Multirobot Motion Planning using Hybrid Mnhs and Genetic Algorithms
A novel RNN architecture to improve the precision of ship trajectory predictions
Building Tools for software engineering with artificial intelligence techniques
A Reassuring Mechanism Design for Traders in Electronic Group Buying
Robust Feature Selection Technique Using Rank Aggregation
Knowledgeable learning using MOBAL: A medical case study
GAN-BElectra: Enhanced Multi-class Sentiment Analysis with Limited Labeled Data
Investigation on Mammographic Image Compression and Microcalcification Analysis using multiwavelets and Neural Networks
Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams
An Alternative Approach to FCM Activation for Modeling Dynamic Systems
Cardiac Diagnosis with Machine Learning: A Paradigm Shift in Cardiac Care
Zernike Moments-Based Gurumukhi Character Recognition
Bank CRM Optimization Using Predictive Classification Based on the Support Vector Machine Method
A Novel Augmentative Backward Reward Function with Deep Reinforcement Learning for Autonomous UAV Navigation
A Comparative Study Of Ann For Predicting Nitrate Concentration In Groundwater Wells In The Southern Area Of Gaza Strip