yusuke1997/dblp-id-title huggingface dataset:
Application of Chemoinformatics to the Structural Elucidation of Natural Compounds
Learning Users' Interests in a Market-Based Recommender System
An Intelligent Grading System Using Heterogeneous Linguistic Resources
Investigation of ART2-Based Audio-to-Visual Conversion for Multimedia Applications
Capturing Heuristics and Intelligent Methods for Improving Micro-array Data Classification
A Self-sovereign Identity Framework Using Blockchain for Privacy-Preserving Data Management
An Assessment of Feature Relevance in Predicting Protein Function from Sequence
Multi-Objective Genetic Algorithms for Sparse Least Square Support Vector Machines
CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning
A Neural System Prototype for Data Processing Using Modified Conjugate Directional Filtering (MCDF)
Emotion Extraction from Likert-Scale Questionnaires - - An Additional Dimension to Psychology Instruments -
Sim-EA: An Evolutionary Algorithm Based on Problem Similarity
Synonym-Based Essay Generation and Augmentation for Robust Automatic Essay Scoring
RSTIndex : Indexing and Retrieving Web Document Using Computational and Linguistic Techniques
Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detection
Design of Data-Mining Application Software Based on Object-Oriented Approach
Evolving Tree Algorithm Modifications
Schema Discovery of the Semi-structured and Hierarchical Data
AutoML Technologies for the Identification of Sparse Models
The Inductive Inverse Kinematics Algorithm for Manipulating the Posture of an Articulated Body
Intelligent Automated Design of Machine Components Using Antipatterns
Protein Fold Recognition Using Neural Networks and Support Vector Machines
Smart Sign Language Decoder
On Correlation Measures of Intuitionistic Fuzzy Sets
A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes
GPU Implementation of the Multiple Back-Propagation Algorithm
A Family of Novel Clustering Algorithms
Evidence-Based Systematic Literature Reviews in the Cloud
Dynamic Community Detection Algorithm Based on Automatic Parameter Adjustment
Multi-dimensional Bayesian Network Classifier Trees
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
Synthetic Data Augmentation for COD Prediction in WTTPs: A Comparative Study of Deep Learning Models with VARMA and TTS-GAN
Filter Methods for Feature Selection - A Comparative Study
Exploring Topology Preservation of SOMs with a Graph Based Visualization
Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics
Phase Load Balancing in the Secondary Distribution Network Using a Fuzzy Logic and a Combinatorial Optimization Based on the Newton Raphson
epsilon-Descending Support Vector Machines for Financial Time Series Forecasting
A Comparative Study of Machine Learning Models for Two-Tier Android Malware Classification with Dynamic Behavioral Analysis
Intraday FX Trading: An Evolutionary Reinforcement Learning Approach
Behavior Pattern Recognition in Electric Power Consumption Series Using Data Mining Tools
Asynchronous BCI Control of a Robot Simulator with Supervised Online Training
A Neural Architecture for Detecting Identifier Renaming from Diff
Dimension Reduction for Regression with Bottleneck Neural Networks
Visualization of Topology Representing Networks
Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering
Ensemble Stack Architecture for Lungs Segmentation from X-ray Images
Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders
Fatigue Detection in Strength Exercises for Older People
Global Q-Learning Approach for Power Allocation in Femtocell Networks
Multiagent Systems for Power System Topology Verification
Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization
On a Detection of Korean Prosody Phrases Boundaries
Improved Deep Learning-Based Optical Mark Recognition for Automated Correction
Robust Vessel Segmentation Based on Multi-resolution Fuzzy Clustering
Abnormal Event Detection via Multi-Instance Dictionary Learning
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis
Multi Criteria Wrapper Improvements to Naive Bayes Learning
PT-PT Synthetic Speech Detection
Intrusion Detection at Packet Level by Unsupervised Architectures
Improved Fuzzy C-Means Clustering Algorithm Based on Particle Swarm Optimization Algorithm
Generating Adaptive Presentations of Hydrologic Behavior
Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings
A Data Mining Based Intrusion Detection Model
Topological Tree for Web Organisation, Discovery and Exploration
Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks
Comparison between MLP and LVQ Neural Networks for Virtual Upper Limb Prosthesis Control
Genetic Algorithms for Estimating Longest Path from Inherently Fuzzy Data Acquired with GPS
An Optimal Approach to Mining Boolean Functions from Noisy Data
Extending Independent Component Analysis for Event Detection on Online Social Media
Interpretation of the Richardson Plot in Time Series Representation
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings
Thinking Capability of Saplings Growing Up Algorithm
MLPCA Based Logistical Regression Analysis for Pattern Clustering in Manufacturing Processes
SEMIR: Semantic Indexing and Retrieving Web Document Using Rhetorical Structure Theory
The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces
Towards Automatic Classification of Wikipedia Content
Logic Synthesis for FSMs Using Quantum Inspired Evolution
Sparse Non-negative Matrix Factorization with Generalized Kullback-Leibler Divergence
Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles
A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems
Imbalanced Data Classification Based on Feature Selection Techniques
Improving Evolutionary Algorithms by a New Smoothing Technique
An Approach to Design Growing Echo State Networks
Cloud Computing Environments for Biomedical Data Services
CGLAD: Using GLAD in Crowdsourced Large Datasets
A Comparison of Evolutionary Multi-objective Optimization Algorithms Applied to Antenna Design
Evaluating Open-Source Language Models for Sensitive Content Detection in Social Media
Making Class Bias Useful: A Strategy of Learning from Imbalanced Data
Diversified Random Forests Using Random Subspaces
An Algorithm to Mine General Association Rules from Tabular Data
An Adaptive Uniform Fractional Guard Channel Algorithm: A Learning Automata Approach
Modular Bayesian Network Learning for Mobile Life Understanding
A Shopping Agent That Automatically Constructs Wrappers for Semi-Structured Online Vendors
A Soft Discretization Technique for Fuzzy Decision Trees Using Resampling
Intelligent Promotions Recommendation System for Instaprom Platform
Feature-Importance Aware Deep Neural Network Model for Explainable Recommender Systems
An Efficient Mining Algorithm for Maximal Weighted Frequent Patterns Based on WIdT-Trees
Evolutionary Product-Unit Neural Networks for Classification
GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations
A First Approach to Face Dimensionality Reduction Through Denoising Autoencoders
Multi-Objective Evolutionary Algorithm Based on Decomposition for Air Traffic Flow Network Rerouting Problem
Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition
Reusable Big Data System for Industrial Data Mining - A Case Study on Anomaly Detection in Chemical Plants
Learning Convolutional Ranking-Score Function by Query Preference Regularization
Fast Algorithms for Computing Corporate Default Probabilities
Multi-agent Based Manifold Denoising
A Comparison of Texture Teatures for the Classification of Rock Images
Hybrid Quantum Solvers in Production: How to Succeed in the NISQ Era?
Intraday Analysis of Portfolios on the ASX Using ICA
Modeling Design and Flow Feature Interactions for Automotive Synthesis
A Guided Monte Carlo Approach to Optimization Problems
EventStory: Event Detection Using Twitter Stream Based on Locality
On Hadamard-Type Output Coding in Multiclass Learning
Multi-output LSSVM-Based Forecasting Model for Mid-Term Interval Load Optimized by SOA and Fresh Degree Function
Flexible Decision Trees in a General Data-Mining Environment
Dynamic Subspace Clustering for Very Large High-Dimensional Databases
A General Framework for a Principled Hierarchical Visualization of Multivariate Data
Predicting Personality Traits of Users in Social Networks
Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing
A Weightless Neural Network-Based Approach for Stream Data Clustering
Predicting the Household Power Consumption Using CNN-LSTM Hybrid Networks
An Adaptive Anomaly Detection Algorithm for Periodic Data Streams
Methods to Bicluster Validation and Comparison in Microarray Data
Sentence Ordering in Extractive MDS
Hybrid Machine VisionDigital Twin Approach for Quality Control
Comparing Measures of Agreement for Agent Attitudes
Personal Knowledge Network Reconfiguration Based on Brain Like Function Using Self Type Matching Strategy
Evidence Relationship Matrix and Its Application to D-S Evidence Theory for Information Fusion
Reverse Engineering an Agent-Based Hidden Markov Model for Complex Social Systems
Least Squares Approach for Multivariate Split Selection in Regression Trees
Analyzing the Influence of Overconfident Investors on Financial Markets Through Agent-Based Model
Comparative Study of Methods for Segmentation of Digital Images of Birds
Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering
Genetic Program Based Data Mining for Fuzzy Decision Trees
Ensemble Selection Based on Discriminant Functions in Binary Classification Task
Description of Visual Content in Dermoscopy Images Using Joint Histogram of Multiresolution Local Binary Patterns and Local Contrast
PromSearch: A Hybrid Approach to Human Core-Promoter Prediction
An Edit Distance Approach to Shallow Semantic Labeling
Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant
A New Dissimilarity Measure Between Trees by Decomposition of Unit-Cost Edit Distance
Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification
Advances in Home Care and Real-Time Vital Signs Monitoring
Intrusion Detection in Sensor Networks Using Clustering and Immune Systems
DeCoL-DSS: Integrating Decentralised Collaborative Machine Learning Into Decision Support System
Noise Correction in Genomic Data
Existance of Minority in Multi-agent Systems Using Voronoi Tesselation
News Mining Using Evolving Fuzzy Systems
Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder
Nonlinear Multidimensional Data Projection and Visualisation
Drift Detection in Text Data with Document Embeddings
Deterministic Extraction of Compact Sets of Rules for Subgroup Discovery
Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression
System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication
Constructing Accurate Fuzzy Rule-Based Classification Systems Using Apriori Principles and Rule-Weighting
Globular Cluster Detection in M33 Using Multiple Views Representation Learning
Threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts
A Self-Organizing Channel Assignment Algorithm: A Cellular Learning Automata Approach
News Content Highlight via Fast Caption Text Detection on Compressed Video
Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts
Optimal Filtering for Time Series Classification
Soft Sensor for Fluoridated Alumina Inference in Gas Treatment Centers
Anomaly Detection in Wind Turbine Gearbox Vibrations Using Actor-Critic Reinforcement Learning and Bayesian Optimization
A Potential-Based Density Estimation Method for Clustering Using Decision Graph
Face Detection under Illumination Variance Using Combined AdaBoost and Gradientfaces
A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem
Prototype Based Modelling for Ordinal Classification
Weight-Vector Based Approach for Product Recommendation in E-commerce
Intelligent Data Engineering and Automated Learning - IDEAL 2025 - 26th International Conference, Jaén, Spain, November 13-15, 2025, Proceedings, Part II
Personalized Counterfactual Explanations via Cluster-Based Fine-Tuning of GANs
Exploring Online Novelty Detection Using First Story Detection Models
Res-GAN: Residual Generative Adversarial Network for Coronary Artery Segmentation
A Novel Link Prediction Algorithm Based on Spatial Mapping in PPI Network
A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation
Application of an Hybrid Bio-inspired Meta-heuristic in the Optimization of Two-Dimensional Guillotine Cutting in an Glass Industry
Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection
Intrusion Detection Using Transfer Learning in Machine Learning Classifiers Between Non-cloud and Cloud Datasets
Engineering Knowledge Discovery in Network Intrusion Detection
Stylized Facts of Linguistic Corpora: Exploring the Lexical Properties of Affect in News
Filtering of Text Blocks in Web Images
A Subjective and Objective Integrated Method for MAGDM Problems with Multiple Types of Exact Preference Formats
Interface Agents' Design for a DRT Transportation System Using PASSI
The Effect of Missing Wind Speed Data on Wind Power Estimation
Generating Explicit Self-Organizing Maps by Information Maximization
Functional Networks and Analysis of Variance for Feature Selection
A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data
Signal Reconstruction Using Evolvable Recurrent Neural Networks
Tabu Search Algorithm for Routing and Spectrum Allocation of Multicast Demands in Elastic Optical Networks
Comparing Particle Swarm Optimization Approaches for Training Multi-Layer Perceptron Neural Networks for Forecasting
Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I
Evolving Fuzzy Classifier Based on the Modified ECM Algorithm for Pattern Classification
Range Facial Recognition with the Aid of Eigenface and Morphological Neural Networks
Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus
A New Artificial Immune System Algorithm for Clustering
Statistical Baselines from Random Matrix Theory
Histogram Distance for Similarity Search in Large Time Series Database
Evolving Fuzzy Systems Based on the eTS Learning Algorithm for the Valuation of Residential Premises
Identification of Areas for Improvement in Digital Pedagogical Competencies through Information Technologies, Communication, and Artificial Intelligence: An Innovative Approach in Teacher Training
Using a Genetic Algorithm for Editing k-Nearest Neighbor Classifiers
Improved PCA-BP Face Recognition Based on Construction of Virtual Sample
Parallel Wavelet Transform for Spatio-temporal Outlier Detection in Large Meteorological Data
Randomized K-FACs: Speeding Up K-FAC with Randomized Numerical Linear Algebra
Universal Clustering with Family of Power Loss Functions in Probabilistic Space
Local Negative Correlation with Resampling
Strategic Software Agents in Continuous Double Auction Under Dynamic Environments
Web Service Evaluation Method Based on Time-aware Collaborative Filtering
A New Efficient Approach in Clustering Ensembles
Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds
Stave Extraction for Printed Music Scores
Intelligent Data Engineering and Automated Learning - IDEAL 2024 - 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part II
Coordinating Learning Agents via Utility Assignment
Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters
Discovering Process Models from Execution History by Graph Matching
Credit Risks of Interest Rate Swaps: A Comparative Study of CIR and Monte Carlo Simulation Approach
Global Optimization Using Evolutionary Algorithm Based on Level Set Evolution and Latin Square
A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights
Branching to Find Feasible Solutions in Unmanned Air Vehicle Mission Planning
A Non-parametric Method for Data Clustering with Optimal Variable Weighting
A Ring-Based Architectural Model for Middle Agents in Agent-Based System
A Survey on Benchmarks for Big Data and Some More Considerations
A Route Planning Method for Underwater Terrain Aided Positioning Based on Gray Wolf Optimization Algorithm
A Multi-agent System to Learn from Oceanic Satellite Image Data
Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles
Generating the Reduced Set by Systematic Sampling
On the Structural Robustness of Evolutionary Models of Cooperation
An Ant Colony Random Walk Algorithm for Overlapping Community Detection
Gaussian Process for Transfer Learning through Minimum Encoding
Dynamic Feature Filtering for Robust Monocular Visual SLAM
Association Rule Mining Algorithms for Set-Valued Data
Extracting Meaningful Contexts from Mobile Life Log
Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model
Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression
Creation of an Event Log from a Low-Level Machinery Monitoring System for Process Mining Purposes
Efficient Classification Method for Complex Biological Literature Using Text and Data Mining Combination
3D Markerless Motion Tracking in Real-Time Using a Single Camera
Hand Localization and Fingers Features Extraction: Application to Digit Recognition in Sign Language
Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data
Mining the K-Most Interesting Frequent Patterns Sequentially
Two Phase Semi-supervised Clustering Using Background Knowledge
A Case-Based Transformation from HTML to XML
A Tabu Search Based Algorithm for Clustering Categorical Data Sets
Knowledge-Based Risk Assessment Under Uncertainty in Engineering Projects
A Unified, Adjustable, and Extractable Biological Data Mining-Broker
Robust 1-Norm Soft Margin Smooth Support Vector Machine
Prostate Gland Segmentation in Histology Images via Residual and Multi-resolution U-NET
A Real-Time Traceability System Based on Blockchain and IoT Technologies
A Deep Learning-Based Surface Defect Inspection System for Smartphone Glass
Conceptual Classification to Improve a Web Site Content
Machine Learning Methods Based Preprocessing to Improve Categorical Data Classification
Improving the NSGA-II Performance with an External Population
A Hybrid LSTM-Attention Approach for Missing Data Imputation in IoT Time Series
Detecting Image Forgery Using Support Vector Machine and Texture Features
Ordinal Equivalence Classes for Parallel Coordinates
A Dilation-Erosion-Linear Perceptron for Bovespa Index Prediction
Complexity Pursuit for Financial Prediction
Starting Point in the Introduction of AI in VET: Analysis and Proposals in Spain
Classification by Instance-Based Learning Algorithm
Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference
Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data
Lazy Classification Using an Optimized Instance-Based Learner
Evidential Integration of Semantically Heterogeneous Aggregates in Distributed Databases with Imprecision
Image Quality Constrained GAN for Super-Resolution
Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules
Applying Tree Ensemble to Detect Anomalies in Real-World Water Composition Dataset
State Aggregation in Higher Order Markov Chains for Finding Online Communities
Refractory Effects of Chaotic Neurodynamics for Finding Motifs from DNA Sequences
Tracking Healthy Organs in Medical Scans to Improve Cancer Treatment by Using UW-Madison GI Tract Image Segmentation
Soft Computing in Context-Sensitive Multidimensional Ranking
K Nearest Sequence Method and Its Application to Churn Prediction
Global B+ Tree Indexing in Parallel Database Systems
Managing Monotonicity in Classification by a Pruned Random Forest
Exploration of a Text Collection and Identification of Topics by Clustering
Learning Neural Network Ensemble for Practical Text Classification
Adaptive K-Means for Clustering Air Mass Trajectories
Influence of External Dependency Retrieval and Prompt Engineering in Test Case Generation Using LLMs
Multimodal Semi-supervised Bipolar Disorder Classification
Fast Tree-Based Classification via Homogeneous Clustering
Extended K-means with an Efficient Estimation of the Number of Clusters
A Particle Swarm Clustering Algorithm with Fuzzy Weighted Step Sizes
Partial Discharge Classification Through Wavelet Packets of Their Modulated Ultrasonic Emission
Combining Encoplot and NLP Based Deep Learning for Plagiarism Detection
A Deep-Learning Approach for the Identification of New Subtypes of Lung Cancer
On Intelligent Interface Agents for Human Based Computation
Block Clustering for Web Pages Categorization
Selection of Structures with Grid Optimization, in Multiagent Data Warehouse
Text Similarity Between Concepts Extracted from Source Code and Documentation
Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification
Combining Gaussian Mixture Models
Wave and Viscous Resistance Estimation by NN
Combined Classifier Based on Quantized Subspace Class Distribution
Optimally Selected Minimal Learning Machine
MetaLIRS: Meta-learning for Imputation and Regression Selection
On the Extraction and Classification of Hand Outlines
Deep Neural Networks with Markov Random Field Models for Image Classification
Multi Density DBSCAN
A Data-Driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés
Learning from a Smarter Teacher
Segmentation and Annotation of Audiovisual Recordings Based on Automated Speech Recognition
Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes
Detecting Phishing E-mails by Heterogeneous Classification
Hybrid Evolutionary Algorithm with Adaptive Crossover, Mutation and Simulated Annealing Processes to Project Scheduling
Multi-Agent Architecture with Support to Quality of Service and Quality of Control
Discriminant Independent Component Analysis
A Rule-Based Multi-agent System for Local Traffic Management
Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition
Face Attributes Retrieval by Multi-Label Contractive Hashing
Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units - Dealing with Imbalanced and High-Dimensional Data
The Prevalence of Errors in Machine Learning Experiments
A Neural Network Based Approach for GPCR Protein Prediction Using Pattern Discovery
Self-Organising Maps for Hierarchical Tree View Document Clustering Using Contextual Information
List Representation Applied to Sparse Datacubes for Data Warehousing and Data Mining
A Practical Framework for Auditing Fairness in Medical AI
Knowledge Inference Through Analysis of Human Activities
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics
Classification by Multiple Reducts-kNN with Confidence