yusuke1997/dblp-id-title huggingface dataset:
Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination
Parallel Processing for Movement Detection in Neural Networks with Nonlinear Functions
Expeditious XML Processing
Electricity Consumption Simulation Based on Multi-agent System
Solving the Bi-criteria Max-Cut Problem with Different Neighborhood Combination Strategies
Mining Large Engineering Data Sets on the Grid Using AURA
A Profile on Twitter Shadowban: An AI Ethics Position Paper on Free-Speech
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
Wind Turbine Modelling Based on Neural Networks: A First Approach
Interpreting Hidden Neurons in Boolean Constructive Neural Networks
Agent-Based Layered Intelligent Information Integration System Using Ontology and Metadata Registry
Multiresolution Analysis of Connectivity
The Impact of News Media and Affect in Financial Markets
Improved Architectural Redesign of MTree Clusterer in the Context of Image Segmentation
Electricity Demand Forecasting Using Neural Networks
Topic Modeling in Telegram Channels During the Russia-Ukraine Conflict
Fluctuation in Multi-agent System of Supermarket Chain Network
Neural Network with Classification Based on Multiple Association Rule for Classifying Mammographic Data
An Extended Version of the LVA-Index
On Random-Forest-Based Prediction Intervals
Soft Computing Decision Support for a Steel Sheet Incremental Cold Shaping Process
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality
Spam Mail Detection Using Artificial Neural Network and Bayesian Filter
An Artificial Bee Colony Algorithm for Optimizing the Design of Sensor Networks
Parameter Analysis for Differential Evolution with Pareto Tournaments in a Multiobjective Frequency Assignment Problem
Kernel Density Construction Using Orthogonal Forward Regression
Circular SOM for Temporal Characterisation of Modelled Gene Expressions
Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification
Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model
Differential Priors for Elastic Nets
LORE4GroupRS: Explaining Group Recommendations Supported by a Local Rule-Based Approach
A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection
Simulated Annealing Algorithm for Minimization of Bandwidth Fragmentation in Elastic Optical Networks with Multicast and Unicast Flows
Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations
GFS-Based Analysis of Vague Databases in High Performance Athletics
Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation
Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator
Stereo Correspondence Using GA-Based Segmentation
An Improved Discrete Immune Network for Multimodal Optimization
A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model
Dynamic EM in Neologism Evolution
K -Means Clustering Seeds Initialization Based on Centrality, Sparsity, and Isotropy
Segmentation and Classification of Time-Series: Real Case Studies
LBP and Machine Learning for Diabetic Retinopathy Detection
"Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network
Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms
Variable Transformation for Granularity Change in Hierarchical Databases in Actual Data Mining Solutions
Mining Weighted Frequent Patterns Using Adaptive Weights
Natural Language Processing for Expertise Modelling in E-mail Communication
Peak Alpha Based Neurofeedback Training Within Survival Shooter Game
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction
Detecting Credit Card Fraud by Using Questionnaire-Responded Transaction Model Based on Support Vector Machines
Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa María, California
2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI
Consensus-based Parallel Algorithm for Robust Convex Optimization with Scenario Approach in Colored Network
Recent Applications of Pre-aggregation Functions
Three-Part Genetic Algorithm to Optimize the Outbound Train Loading Process Using a Multiple Travelling Salesman Problem Approach
Clustering by Similarity in an Auxiliary Space
Multimodal Visio-Lingual Content Analysis to Detect Fake Content on Reddit
A New Methodology to Compare Clustering Algorithms
Object-Neighbourhood Clustering Ensemble Method
Measuring the Impact of the International Relationships of the Andalusian Universities Using Dimensions Database
Group Decision Making with Triangular Fuzzy Linguistic Variables
Knowledge Discovery in Lymphoma Cancer from Gene-Expression
Generation of Reducts and Threshold Functions and Its Networks for Classification
Concatenating or Averaging? Hybrid Sentences Representations for Sentiment Analysis
Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers
Swarm Intelligence in Big Data Analytics
Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters
Multiobjective Optimization of Indexes Obtained by Clustering for Feature Selection Methods Evaluation in Genes Expression Microarrays
Electroencephalogram Signals from Imagined Activities: A Novel Biometric Identifier for a Small Population
Neural Networks: A Replacement for Gaussian Processes?
An Efficient Auction Mechanism Toward Heterogeneous Spectrum Allocation
Mapping a Clinical Case Description to an Argumentation Framework: A Preliminary Assessment
Solving Multi-class Imbalance Problems Using Improved Tabular GANs
An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins
Pre-pruning Decision Trees by Local Association Rules
Comparing and Combining Spatial Dimension Reduction Methods in Face Verification
Developing a Directory of Search Engines for Meta-searching
Simplification of Image Segmentation and Object Detection Teaching Materials
Support Vector Machine Based Method for High Impedance Fault Diagnosis in Power Distribution Networks
Predicting Learning Effect by Learner's Behavior in MOOCs
Evaluative Customized Naïve Associative Classifier: Promoting Equity in AI for the Selection and Promotion of Human Resources
Clustering by Integrating Multi-objective Optimization with Weighted K-Means and Validity Analysis
Extraction of Hidden Semantics from Web Pages
Protein Data Condensation for Effective Quaternary Structure Classification
Customer Unification in E-Commerce
A Combination-of-Tools Method for Learning Interpretable Fuzzy Rule-Based Classifiers from Support Vector Machines
A Fast Classification Algorithm Based on Local Models
Prediction of Maintenance Equipment Failures Using Automated Machine Learning
The Impact of Contexts in Contextual Matrix Factorization Models
GMM Based on Local Fuzzy PCA for Speaker Identification
Building Genetic Networks for Gene Expression Patterns
Genetic Algorithm Based-On the Quantum Probability Representation
Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data
Weight Update Sequence in MLP Networks
Fair Regret Minimization Queries
Super-Resolution from One Single Low-Resolution Image Based on R-KSVD and Example-Based Algorithm
Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings
Fuzzy Quantification-Based Linguistic Summaries in Data Cubes with Hierarchical Fuzzy Partition of Time Dimension
SOMiMS - Topographic Mapping in the Model Space
Dynamic Symbolization of Streaming Time Series
A MapReduce-Based ELM for Regression in Big Data
A Graph Transformation System Model of Dynamic Reorganization in Multi-agent Systems
Specifics Analysis of Medical Communities in Social Network Services
When to Use Discriminator Ensembles? Cross-Domain Evidence of Multi-Adversarial Learning
Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient
Process State and Progress Visualization Using Self-Organizing Map
Power Control and Evolutionary Computation in CDMA Cellular Radio Networks
Intelligent Data Engineering and Automated Learning - IDEAL 2005, 6th International Conference, Brisbane, Australia, July 6-8, 2005, Proceedings
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
Neural Controller of UAVs with Inertia Variations
Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing
Skill Combination for Reinforcement Learning
Fast Frequent Pattern Detection Using Prime Numbers
Business and Government Organizations' Adoption of Cloud Computing
On the Effects of Outliers on Evolutionary Optimization
A Non-parametric Image Segmentation Algorithm Using an Orthogonal Experimental Design Based Hill-Climbing
IoT Cyberattack Detection in Microcontrollers
On Detecting Online Radicalization Using Natural Language Processing
A Hybrid Multi-layered Speaker Independent Arabic Phoneme Identification System
An Empirical Evaluation of Robust Gaussian Process Models for System Identification
A Grid-Based Approach for Ambulance Dispatch in Critical Emergencies Within Static Systems
Improving Support Vector Solutions by Selecting a Sequence of Training Subsets
Entity Examples for Explainable Query Target Type Identification with LLMs
Iranian Cancer Patient Detection Using a New Method for Learning at Imbalanced Datasets
Fusing Partially Inconsistent Expert and Learnt Knowledge in Uncertain Hierarchies
Gradient Descent Decomposition for Multi-objective Learning
New Internal Clustering Evaluation Index Based on Line Segments
Association Rules Mining with Auto-encoders
Regression Analisys of Segmented Parametric Software Cost Estimation Models Using Recursive Clustering Tool
A Hybrid Agent Architecture for Modeling Autonomous Agents in SAGE
Segmentation of Abdominal Aortic Aneurysms in CT Images Using a Radial Model Approach
Automatic Exploration of Domain Knowledge in Healthcare
Clusterization of Indices and Assets in the Stock Market
Research on the Method of Splitting Large Class Diagram Based on Multilevel Partitioning
Automating Co-evolutionary Data Mining
A New Dataset for Analyzing Battery Failures in Wheelchairs
PCA Fuzzy Mixture Model for Speaker Identification
Ink Retrieval from Handwritten Documents
A Direction based Multi-Objective Agent Genetic Algorithm
LDA Pre-processing for Classification: Class-Dependent Single Objective GA and Multi-objective GA Approaches
Automatic Video Shot Boundary Detection Using Machine Learning.
Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study
Error Concealment by Means of Motion Refinement and Regularized Bregman Divergence
Belief Revision for Adaptive Recommender Agents in E-commerce
Supervised Feature Extraction Using Hilbert-Schmidt Norms
A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets
Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks
Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System
Different Bayesian Network Models in the Classification of Remote Sensing Images
Optimizing Meta-heuristics for the Time-Dependent TSP Applied to Air Travels
Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm
CPSO Applied in the Optimization of a Speech Recognition System
Control of a Wheelchair by Motor Imagery in Real Time
Illumination Invariant Shot Boundary Detection
An Autonomous Learning Algorithm of Resource Allocating Network
A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects
A Text Mining Agents Based Architecture for Personal E-mail Filtering and Management
Computer Interface Using Eye Tracking for Handicapped People
Support Function Machines
A Data Perturbation Method by Field Rotation and Binning by Averages Strategy for Privacy Preservation
Early Alzheimer's Disease Prediction in Machine Learning Setup: Empirical Analysis with Missing Value Computation
Online Labelling Strategies for Growing Neural Gas
A Compendium of Heuristic Methods for Scheduling in Computational Grids
Fuzzy Query Model for XML Documents
Student Modeling for Adaptive Teachable Agent to Enhance Interest and Comprehension
Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis
Web Genre Classification via Hierarchical Multi-label Classification
Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components
A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions
Deep Learning-Based Approach for the Semantic Segmentation of Bright Retinal Damage
Decision Tree Based Clustering
Gradient Boosting-Based Negative Correlation Learning
Global Convergence of Steepest Descent for Quadratic Functions
Optimizing Vehicle Coordination at Multi-lane Intersections Using Traffic Control Algorithms
Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification
Improving Ensembles with Classificational Cellular Automata
Arbitrage-Free Asset Pricing in General State Space
Bootstrap Prediction Intervals for Nonlinear Time-Series
Structural and Semantic Data Layers in Time Series Analyses
Categorization of Large Text Collections: Feature Selection for Training Neural Networks
On Analysing Similarity Knowledge Transfer by Ensembles
Detection of False Information in Spanish Using Machine Learning Techniques
Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation
Topological Tree Clustering of Social Network Search Results
A Novel Anomaly Detection Using Small Training Sets
The Topographic Neural Gas
An Improved Density Peak Clustering Algorithm
Cost Sensitive Matrix Factorization for Face Recognition
Effective Centralized Trust Management Model for Internet of Things
Intelligent Data Engineering and Automated Learning - IDEAL 2014 - 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings
Feature Discovery by Enhancement and Relaxation of Competitive Units
The Effect of Image Compression on Classification and Storage Requirements in a High-Throughput Crystallization System
A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation
Tracking Position and Status of Electric Control Switches Based on YOLO Detector
Hybrid Crossover Based Clonal Selection Algorithm and Its Applications
Protecting Agent from Attack in Grid Computing II
Assessing Olive Tree Detection Performance in UAV Images
Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering
Integrating a Data Mining Engine into Recommender Systems
Face ReID Method via Deep Learning
An Improved ABC Algorithm Approach Using SURF for Face Identification
UK - Means Clustering for Uncertain Time Series Based on ULDTW Distance
Exploring Coclustering for Serendipity Improvement in Content-Based Recommendation
Quantitative Association Rules Applied to Climatological Time Series Forecasting
Using the Clustering Coefficient to Guide a Genetic-Based Communities Finding Algorithm
Finding Uninformative Features in Binary Data
Wavelet-Based Feature Extraction from Character Images
Intelligent Multicriteria Classification of ETFs
End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images
Strangeness Minimisation Feature Selection with Confidence Machines
Compound Local Binary Pattern and Enhanced Jaya Optimized Extreme Learning Machine for Digital Mammogram Classification
Design and Implementation of Alert Analyzer with Data Mining Engine
Transactional Multiple Agents
A New Nonhierarchical Clustering Procedure for Symbolic Objects
Cost Optimization of a Localized Irrigation System Using Genetic Algorithms
Quaternion Neural Networks: State-of-the-Art and Research Challenges
A Computational Framework for Convergent Agents
Multilayered Asynchronous Consensus-Based Federated Learning (MACoFL)
Grid-Based Method for Ranking Images with Multiple Objects
Color Image Segmentation by Multilevel Thresholding Based on Harmony Search Algorithm
Recursive Self-organizing Map as a Contractive Iterative Function System
Cosine Transform Priors for Enhanced Decoding of Compressed Images
Pre-pruning Classification Trees to Reduce Overfitting in Noisy Domains
A Framework for Pattern-Based Global Models
EVIDIST: A Similarity Measure for Uncertain Data Streams
Comparison of Binary Optimization Techniques for Real-Time Management of Sustainable Autonomous Microgrid
Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning
Towards a Terabyte Digital Library System
System for Intelligent Processing and Recognition of Auditory Brainstem Response (ABR ) Signals
Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network
Texture-Based Text Location for Video Indexing
Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning
Loss Function Role in Processing Sequences with Heavy-Tailed Distributions
Meta-learning Based Evolutionary Clustering Algorithm
Deep Learning Based Predictive Analytics for Decentralized Content Caching in Hierarchical Edge Networks
Constructing Bibliometric Networks from Spanish Doctoral Theses
Improving Adversarial Learning with Image Quality Measures for Image Deblurring
Event Causality Identification via Prompt Learning with Knowledge and Memory
Chatbot Theory - A Naïve and Elementary Theory for Dialogue Management
A New Approach to Link Prediction in Gene Regulatory Networks
PRICES: An Efficient Algorithm for Mining Association Rules
A Hybrid Approach Based on DCT-Genetic-Fuzzy Inference System for Speech Recognition
Ensemble Methods for Prediction of Parkinson Disease
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
A Comparison of Market Structures with Near-Zero-Intelligence Traders
Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART
Modeling the Ink Tuning Process Using Machine Learning
A Simulated Annealing Heuristic for a Branch and Price-Based Routing and Spectrum Allocation Algorithm in Elastic Optical Networks
Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer
Parameter Dependence in Cumulative Selection
Intelligent Web Service Discovery in Large Distributed System
A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI
Optimizing the Extreme Learning Machine Using Harmony Search for Hydrologic Time Series Forecasting
Intelligent Data Engineering and Automated Learning - IDEAL 2007, 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings
Adaptive Particle Swarm Optimizer for Feature Selection
Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks
Temporal Data Mining Using Multilevel-Local Polynominal Models
A CBR-Based Game Recommender for Rehabilitation Videogames in Social Networks
Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations
Trading Futures with the Largest Equity Drawdown Method
Data Streams Fusion by Frequent Correlations Mining
Analysing Satellite Image Time Series by Means of Pattern Mining
A Simulated Annealing Based Approach to the High School Timetabling Problem
Constraints in Particle Swarm Optimization of Hidden Markov Models
Grid-Based Indexing for Large Time Series Databases
Advancing Sustainable Tourism Recommendations Through Innovative Hierarchical Evaluation and Data Acquisition Methods
Interaction Detection in Aerodynamic Design Data
Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering
Physics-Informed Neural Networks for Modelling Rheumatoid Arthritis Progression - A Novel Approach Integrating Pathophysiological Laws with Machine Learning
Planning Under Uncertainty with Abstraction Hierarchies
Simplified Self-Adapting Skip Lists
Talking Agents Design on the ICARO Framework
Evaluating Text Classification in the Legal Domain Using BERT Embeddings
Multivariate Cauchy EDA Optimisation
Towards Efficient Similar Sentences Extraction
Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning
Atmospheric Tomography Using Convolutional Neural Networks
Active Sketch for Finding Primary Structures in Images
Validating the Behavior of Self-Interested Agents in an Information Market Scenario
Optimizing UCO Container Placement in Urban Environments: A Genetic Algorithm Approach
Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models
Two Methods for Automatic 3D Reconstruction from Long Un-calibrated Sequences
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification
A Probabilistic Agent Approach to the Traffic Jam Problem
Human Activity Recognition in Videos: A Systematic Approach
An Interactive Hybrid System for Identifying and Filtering Unsolicited E-mail
Automatic Extraction and Classification of Footwear Patterns
Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query
Towards a Low-Cost Companion Robot for Helping Elderly Well-Being
Wind Turbine Pitch Control First Approach Based on Reinforcement Learning
Control-Flow Business Process Summarization via Activity Contraction
A Hybrid GMM Speaker Verification System for Mobile Devices in Variable Environments
Prediction Error Context-Based Lossless Compression of Medical Images
Automatic Extraction of Moving Objects Using Distributed Genetic Algorithms
A Deterministic Model to Infer Gene Networks from Microarray Data
Optimizing Pedestrian Paths to Minimize Exposure to Urban Pollution Through Traffic Data Analysis
A Graph Partitioning Approach to SOM Clustering
Is a Reputation Time Series White Noise?
On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations
Semi-supervised Regularized Discriminant Analysis for EEG-Based BCI System
Knowledge Extraction from Unstructured Surface Meshes
Monte Carlo-Based Interval TOPSIS for Navigating Decision Support Under Uncertainty
Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment
Governing Data Lakehouses - An Alternative Model
Classifying Flies Based on Reconstructed Audio Signals
Skin Pores Detection for Image-Based Skin Analysis
Measuring the Relationship Between the Use of Typical Manosphere Discourse and the Engagement of a User with the Pick-Up Artist Community
A Genetic Graph-Based Clustering Algorithm
Hybrid Bacterial Foraging Algorithm for Data Clustering
Cascade-Connected ANN Structures for Indoor WLAN Positioning
Classification Based on the Trace of Variables over Time
Boosting the Tree Augmented Naïve Bayes Classifier
Analyzing Urban Green Space Perception Through Predictive Classification of Google Maps Reviews: The Case of Casa de Campo Park
A Diversity-Adaptive Hybrid Evolutionary Algorithm to Solve a Project Scheduling Problem
Connected Replicator Dynamics and Their Control in a Learning Multi-agent System
A Comparative Analysis Between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms
Recursive Form of the Discrete Fourier Transform for Two-Dimensional Signals
Fuzzy Clustering with Grouping Genetic Algorithms
EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data
Exponential and Quadratic State Discretizations for Wind Turbine Collective Pitch Control Based on Q-Learning
Inheritances of Orthogonality in the Bio-inspired Layered Networks
Monitoring Equipment Operation Through Model and Event Discovery
DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring
Age-Unbiased Facial Emotion Recognition with Regularizing Self-Attention Value Vector