yusuke1997/dblp-id-title huggingface dataset:
Classifying Polyphony Music Based on Markov Model
An Interactive Approach to Building Classification Models by Clustering and Cluster Validation
Evolving Neural Networks for the Classification of Malignancy Associated Changes
Wavelet Methods in PDE Valuation of Financial Derivatives
Machine Learning Lifecycle Management Using Dataspaces for Optimized Machine Parameterization in Recycled Plastic Packaging
Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees
A Simulation Model for Predicting the Spread of COVID-19 Virus
Comparison of Clustering Methods in Cotton Textile Industry
Fuzzy Rule-Based Framework for Medical Record Validation
Inferring Temporal Structure from Predictability in Bumblebee Learning Flight
Efficient Sensor Selection for Individualized Prediction Based on Biosignals
An FW-BF Based Approach on Elimination of Duplicated Web Pages
Biased Minimax Probability Machine Active Learning for Relevance Feedback in Content-Based Image Retrieval
Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods
A Fast Metropolis-Hastings Method for Generating Random Correlation Matrices
Emergent Specialization in Swarm Systems
Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis
Association Rules Mining for Reducing Items from Emotion Regulation Questionnaires
Combination of Linear and General Regression Neural Network for Robust Short Term Financial Prediction
Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist
FUCO: Fuzzy Counterfactuals Examples
Vector Quantization Segmentation for Head Pose Estimation
Implicit Fitness Sharing Speciation and Emergent Diversity in Tree Classifier Ensembles
Applying Independent Component Analysis to Factor Model in Finance
Semi-supervised Growing Neural Gas for Face Recognition
Query Expansion with an Automatically Generated Thesaurus
Multi-label Fuzzy Similarity-Based Nearest-Neighbour Classification Using Association Rule
Editing and Training for ALVOT, an Evolutionary Approach
One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition
Heuristic Methods for Portfolio Selection at the Mexican Stock Exchange
Using a Portable Device for Online Single-Trial MRCP Detection and Classification
Directed Figure Codes with Weak Equality
Classifying Market States with WARS
Alpha-Beta Search Revisited
AGILE: An Agent-Assisted Infrastructure to Support Learning Environments
Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal Classification
TMSA: Participatory Sensing Based on Mobile Phones in Urban Spaces
A Qualitative Discriminative Cohort Speakers Method to Reduce Learning Data for MLP-Based Speaker Verification Systems
Distribution-Wise Symbolic Aggregate ApproXimation (dwSAX)
A New Model Selection Method for SVM
MapReduce Model for Random Forest Algorithm: Experimental Studies
Combining Multiple Evolved Analog Circuits for Robust Evolvable Hardware
Ensemble-Distributed Approach in Classification Problem Solution for Intrusion Detection Systems
Multi Language Application of Previously Developed Transcripts Classifier
MLeNN: A First Approach to Heuristic Multilabel Undersampling
A Content-Based Image Retrieval Method Using Third-Order Color Feature Relations
A Novel Recommendation System for Next Feature in Software
An Up-Trend Detection Using an Auto-Associative Neural Network: KOSPI 200 Futures
Finding Essential Attributes in Binary Data
Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost
A Gneral Class of Neural Networks for Principal Component Analysis and Factor Analysis
Echo State Networks for Seasonal Streamflow Series Forecasting
Discrete Time Portfolio Selection with Lévy Processes
A Neighborhood-Based Clustering by Means of the Triangle Inequality
Auto-adaptation of Genetic Operators for Multi-objective Optimization in the Firefighter Problem
Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets
Focused Crawling Using Fictitious Play
Spherical Harmonics and Distance Transform for Image Representation and Retrieval
New Arabic Medical Dataset for Diseases Classification
Community Detection in Weighted Directed Networks Using Nature-Inspired Heuristics
Inheritance Transformation of XML Schemas to Object-Relational Databases
Handling Different Levels of Granularity within Naive Bayes Classifiers
Taking e-Assessment Quizzes - A Case Study with an SVD Based Recommender System
Generating a European Portuguese BERT Based Model Using Content from Arquivo.pt Archive
Building an Ontology for Financial Investment
Discovering alpha -Patterns from Gene Expression Data
Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode
A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier
Estimation of Aluminium Fluoride Concentration in Aluminium Reduction Cells through a Soft Sensors Approach
On the Use of Smooth-L1 Approximation in Echo State Networks for Sparse and Efficient Temporal Modeling
Hybrid Architecture to Predict Trends at Stock Exchange of São Paulo: Markowitz Model and a Multilayer Perceptron
A Novel Hybrid GA/SVM System for Protein Sequences Classification
FeedRank: A Semantic-Based Management System of Web Feeds
Time Series Display for Knowledge Discovery on Selective Laser Melting Machines
Robust Model Adaptation Using Mean and Variance Transformations in Linear Spectral Domain
Nearest Neighbor Classification by Relearning
Pipeline for Semantic Segmentation of Large Railway Point Clouds
Hierarchical Agglomerative Clustering for Agent-Based Dynamic Collaborative Filtering
Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection
Fast Filtering of Structural Similarity Search Using Discovery of Topological Patterns
Towards Integrating Monotonicity Constraints Into Hoeffding Trees for Binary Classification
Protein Structure Modeling Using a Spatial Model for Structure Comparison
Semi-supervised Ranking via List-Wise Approach
A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery
Efficient Service Deployment by Image-Aware VM Allocation Strategy
Freight Vehicle Travel Time Prediction Using Sparse Gaussian Processes Regression with Trajectory Data
CNY Realignment and USD Expectation: Empirical Study Based on RND Function of Currency Option
Graph-Based Data Clustering: Criteria and a Customizable Approach
Guiding Genetic Program Based Data Mining Using Fuzzy Rules
A Comparison of One-Class Classifiers for Novelty Detection in Forensic Case Data
Comparing Study for Detecting Microcalcifications in Digital Mammogram Using Wavelets
Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems
Single-Layer Neural Net Competes with Multi-layer Neural Net
Speeding Up Shape Classification by Means of a Cyclic Dynamic Time Warping Lower Bound
AI for Modelling the Laser Milling of Copper Components
Uncovering and Correcting XAI's Misconceptions Logic to the Rescue
A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm
Efficient Spatial Clustering Algorithm Using Binary Tree
Evolution Strategies with a Fourier Series Auxiliary Function for Difficult Function Optimization
Convolutional Neural Network Approach for Multiple Sclerosis Lesion Segmentation
A Machine Learning Approach to Forecast the Safest Period for Outdoor Sports
Personalized and Age-Appropriate Speech Synthesis for Nonverbal Children Using Diffusion-Based Voice Cloning and Parametric Vocoding
Towards Data Mart Building from Social Network for Opinion Analysis
The Artificial Ecosystem: A Multiagent Architecture
Automatic Classification and Clustering of Caenorhabditis Elegans Using a Computer Vision System
Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm
Indexing and Mining of the Local Patterns in Sequence Database
Similarity-Binning Averaging: A Generalisation of Binning Calibration
New AdaBoost Algorithm Based on Interval-Valued Fuzzy Sets
Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting
E.Coli Search: Self Replicating Agents for Web Based Information Retrieval
A Hybrid Model for Fraud Detection on Purchase Orders
Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
Intelligent Data Engineering and Automated Learning - IDEAL 2009, 10th International Conference, Burgos, Spain, September 23-26, 2009. Proceedings
Knowledge Reduction of Rough Set Based on Partition
Metaheuristic GRASP with Path-Relinking to the Solution of the Graph Partitioning Problem with Capacity and Connexity Constraints
On the Impact of Greyscale ImageNet Pre-training for Chest X-Ray Model Transferability
Annotation and Retrieval of Cell Images
Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection
Genetic and Ant Colony Algorithms to Solve the Multi-TSP
A New Semi-supervised Dimension Reduction Technique for Textual Data Analysis
Alternative Quality Measures for Time Series Shapelets
Heterogeneous Communication in Decentralized Federated Learning
The Covid-19 Influence on the Desire to Stay at Home: A Big Data Architecture
Development of New IFC-BRIDGE Data Model and a Concrete Bridge Design System Using Multi-agents
Correction of Medical Handwriting OCR Based on Semantic Similarity
Face Anti-spoofing Algorithm Based on Gray Level Co-occurrence Matrix and Dual Tree Complex Wavelet Transform
Segmentation of Upwelling Regions in Sea Surface Temperature Images via Unsupervised Fuzzy Clustering
Comparing Multi-class Classifiers: On the Similarity of Confusion Matrices for Predictive Toxicology Applications
A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns
A Self-organizing Genetic Algorithm for UWB Microstrip Antenna Optimization Using a Machine Learning Technique
A Framework for Application of Tree-Structured Data Mining to Process Log Analysis
Machine Learning for Drugs Prescription
A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks
A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions
Exploiting Spatio-temporal Data for the Multiobjective Optimization of Cellular Automata Models
Improving Energy Efficiency in Buildings Using Machine Intelligence
Improving the Language Active Learning with Multiagent Systems
Unsupervised Segmentation on Image with JSEG Using Soft Class Map
Automatic Sound Classification for Improving Speech Intelligibility in Hearing Aids Using a Layered Structure
Fault Detection in Continuous Industrial Chemical Processes: A New Approach Using the Hidden Markov Modeling. Case Study: A Boiler from a Brazilian Cellulose Pulp Mill
Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System
Artificial Intelligence in Portfolio Management
Empirical Comparison of Resampling Methods Using Genetic Fuzzy Systems for a Regression Problem
Effectiveness of Considering State Similarity for Reinforcement Learning
Modified-DBSCAN Clustering for Identifying Traffic Accident Prone Locations
Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model
The Contribution of Social Sciences Driven User Studies to the Development of Human-Centered Artificial Intelligence
Neural Network Models for Language Acquisition: A Brief Survey
Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition
Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia
Hierarchical Discriminant Regression for Incremental and Real-Time Image Classification
Autoencoder Latent Space Influence on IoT MQTT Attack Classification
PC-OPT: A SfM Point Cloud Denoising Algorithm
Probability Model Type Sufficiency
Metasearch via Voting
Unsupervised Domain Adaptation for Human Activity Recognition
Bayesian Learning for Image Retrieval Using Multiple Features
Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection
Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency
Case-Based Reasoning: An Intelligent Approach Applied for Financial Crises Warning
Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems
Mean Multiclass Type I and II Errors for Training Multilayer Perceptron with Particle Swarm in Image Segmentation
Comparative Study of Federated Learning Algorithms Based on SPADE Agents
Document Clustering Using the 1 + 1 Dimensional Self-Organising Map
Feature Word Tracking in Time Series Documents.
A Complexity Measure for Binary Classification Problems Based on Lost Points
Predicting Recurring Telecommunications Customer Support Problems Using Deep Learning
A Neural Stochastic Optimization Framework for Oil Parameter Estimation
Learning-Guided Exploration in Airfoil Optimization
Automatic Ground Truth Dataset Creation for Fake News Detection in Social Media
An Image Retrieval Method Based on Collaborative Filtering
Qualified Predictions for Proteomics Pattern Diagnostics with Confidence Machines
Feature Importance in Association Rule-Based Explanations for Time Series Forecasting
Linear Time Heuristics for Topographic Mapping of Dissimilarity Data
A Collision Avoidance System for Autonomous Ship Using Fuzzy Relational Products and COLREGs
Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network
Semi-supervised Learning to Reduce Data Needs of Indoor Positioning Models
Self-adaptive Mutation Only Genetic Algorithm: An Application on the Optimization of Airport Capacity Utilization
PSO and ACO in Optimization Problems
Clustering with XCS and Agglomerative Rule Merging
A Community Detection Algorithm Based on Jaccard Similarity Label Propagation
Multi-layer Topology Preserving Mapping for K-Means Clustering
Locally Balanced Incremental Hierarchical Discriminant Regression
Trajectory Similarity-Based Prediction with Information Fusion for Remaining Useful Life
Atmospheric Pollution Analysis by Unsupervised Learning
Probabilistic Modelling for Delay Estimation in Gravitationally Lensed Photon Streams
An Evolutionary Multi-objective Optimization of Market Structures Using PBIL
Feedback Linearization with a Neural Network Based Compensation Scheme
Discovering the Rules of a Elementary One-Dimensional Automaton
Automated Bone Age Assessment Using Feature Extraction
Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimization
Automatic Webpage Classification Enhanced by Unlabeled Data
A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems
Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction
Stop Wasting Time: On Predicting the Success or Failure of Learning for Industrial Applications
Functional Networks and the Lagrange Polynomial Interpolation
Deterministic Propagation of Blood Pressure Waveform from Human Wrists to Fingertips
GELAB - A Matlab Toolbox for Grammatical Evolution
Neural Network-Based Receiver for Uplink Multiuser Code Division Multiple Access Communication System
Bayesian Radial Basis Function Neural Network
A Clustering Model for Mining Evolving Web User Patterns in Data Stream Environment
Cloud Type Identification Using Data Fusion and Ensemble Learning
Face Segmentation Using Projection Pursuit for Texture Classification
Heterogeneous Context-aware Recommendation Algorithm with Semi-supervised Tensor Factorization
Automatic Motion Segmentation via a Cumulative Kernel Representation and Spectral Clustering
Knowledge-Based Solution Construction for Evolutionary Minimization of Systemic Risk
Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings
Transfer Knowledge Between Sub-regions for Traffic Prediction Using Deep Learning Method
SVM-Based Classification of Distant Proteins Using Hierarchical Motifs
A Principled Approach to the Analysis of Process Mining Algorithms
Improving the Efficiency of Frequent Pattern Mining by Compact Data Structure Design
A One-by-One Method for Community Detection in Attributed Networks
A Sparse Bayesian Position Weighted Bio-Kernel Network
LeakG3PD: A Python Generator and Simulated Water Distribution System Dataset
An Intelligent Decision Support System for Road Freight Transport
Description of Combined Spatial Relations Between Broad Boundary Regions Based on Rough Set
Automatic PDF Document Classification with Machine Learning
RGB-Based Olive Variety Classification Using Deep Learning
The Outer Impartation Information Content of Rules and Rule Sets
Using Fuzzy Patterns for Gene Selection and Data Reduction on Microarray Data
Nonlinear Dimension Reduction via Local Tangent Space Alignment
An Improved Outlier Detection Algorithm to Medical Insurance
Multilevel Bee Swarm Optimization for Large Satisfiability Problem Instances
Reputation: Generative Bootstrapping
Key Course Selection for Academic Early Warning Based on Gaussian Processes
When Is Inconsistency Considered Harmful: Temporal Characterization of Knowledge Base Inconsistency
Information Retrieval and Data Forecasting via Probabilistic Nodes Combination
A Class of Novel Kernel Functions
Elastic Non-contiguous Sequence Pattern Detection for Data Stream Monitoring
A Hybrid Approach for Predicting Bitcoin Price Using Bi-LSTM and Bi-RNN Based Neural Network
Effective Realizations of Biorthogonal Wavelet Transforms of Lengths 2K + 1/2K - 1 with Lattice Structures on GPU and CPU
Application of Mixture Models to Detect Differentially Expressed Genes
Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD
Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning
Modeling the Behavior of Unskilled Users in a Multi-UAV Simulation Environment
Peculiarity Oriented Mining in Multiple Human Brain Data
Merging ELMs with Satellite Data and Clear-Sky Models for Effective Solar Radiation Estimation
Indexing and Mining of Graph Database Based on Interconnected Subgraph
A Comparative Analysis of FSS with CMA-ES and S-PSO in Ill-Conditioned Problems
Free-Floating Carsharing in SimFleet
Extensions of Ant-Miner Algorithm to Deal with Class Imbalance Problem
Safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages
Exploring Memory Access Regularity in Pointer-Intensive Application Programs
Generating Wildfire Heat Maps with Twitter and BERT
Time-Series Prediction Using Self-Organising Mixture Autoregressive Network
Statistical-Fuzzy Hybrid Framework for Handling Uncertainty in Medical Data Processing
Benchmarking Out of the Box Open-Source LLMs for Malware Detection Based on API Calls Sequences
On Studying the Effect of Data Quality on Classification Performances
Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines
Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data
Input Selection and Rule Generation in Adaptive Neuro-fuzzy Inference System for Protein Structure Prediction
A Comparative Fairness Study in News Recommendation Systems
Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains
Distributed Mobile Communication Base Station Diagnosis and Monitoring Using Multi-agents
Intelligent Data Engineering and Automated Learning - IDEAL 2008, 9th International Conference, Daejeon, South Korea, November 2-5, 2008, Proceedings
A New Regression Based Software Cost Estimation Model Using Power Values
An Information Theoretic Optimal Classifier for Semi-supervised Learning
Enhanced Credit Prediction Using Artificial Data
Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering
Detecting Computer Intrusions with Bayesian Networks
Wrapper for Ranking Feature Selection
On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent
Fuzzy Regression with Quadratic Programming: An Application to Financial Data
Multi-class Contour Preserving Classification
T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning
A Design of Dynamic Network Management System
Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks
A Learning Web Platform Based on a Fuzzy Linguistic Recommender System to Help Students to Learn Recommendation Techniques
Iris Segmentation and Recognition Using 2D Log-Gabor Filters
Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery
A Hierarchical Model to Support Kansei Mining Process
An Investment Defined Transaction Processing Towards Temporal and Spatial Optimization with Collaborative Storage and Computation Adaptation
A Constructive Particle Swarm Algorithm for Fuzzy Clustering
Benchmarking Data Augmentation Techniques for Tabular Data
Indecision-Aware Deep Active Anomaly Detection
A Compatible Model of Unstructured Data for Cross-Media Retrieval in the Field of Tourism
Prediction of Chaotic Time Series Based on Multi-scale Gaussian Processes
Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems
Speed-Up LOO-CV with SVM Classifier
Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features
Identification of Variables of a Floating Wind Turbine Prototype
Learning Inter-Lingual Document Representations via Concept Compression
Orthogonal Least Square with Boosting for Regression
Towards Intelligent and Immersive Healthcare: Edge-AI, IoMT, and Digital Twins in the Metaverse
Improving Decision Tree Performance Through Induction- and Cluster-Based Stratified Sampling
Evolutionary Optimization of Regression Model Ensembles in Steel-Making Process
A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks
Codebook Quantization for Image Classification Using Incremental Neural Learning and Subgraph Extraction
High against Low Quantile Comparison for Biomarker and Classifier Evaluation
Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information
Learning Multi-agent Strategies in Multi-stage Collaborative Games
Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation
Machine Learning for Time Series Forecasting Using State Space Models
Real-Time Web Data Mining and Visualisation
Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods
Visualization of Numerical Association Rules by Hill Slopes
Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings
Unsupervised Online Event Ranking for IT Operations
Credit Scoring for SME Using a Manifold Supervised Learning Algorithm
A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting
An ANN Speed Observer Applied to Three-Phase Induction Motor
Gray-Coded Clonal Selection Algorithm for Optimization Problem
Design of Directory Facilitator for Agent-Based Service Discovery in Ubiquitous Computing Environments
ICU Mortality Prediction Using Long Short-Term Memory Networks
Design of Simple Structure Neural Voltage Regulator for Power Systems
Linguistic Truth-Valued Multi-Attribute Decision Making Approach Based on TOPSIS
A More Effective Constructive Algorithm for Permutation Flowshop Problem
Psychometric Functions Within the Framework of Binary Signal Detection Theory: Coding the Face Identity
Mining Disjunctive Sequential Patterns from News Stream
Improving SeNA-CNN by Automating Task Recognition
A Hybrid Approach to Time Series Classification with Shapelets
Co-training from an Incremental EM Perspective.
Exploring Dependencies Between Yeast Stress Genes and Their Regulators
Sparse Kernel Modelling: A Unified Approach
Reducing Subjectivity in the System Dynamics Modeling Process: An Interdisciplinary Approach