yusuke1997/dblp-id-title huggingface dataset:
On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framework
Do You Really Follow Them? Automatic Detection of Credulous Twitter Users
On Stability of Ensemble Gene Selection
Multi-class Text Complexity Evaluation via Deep Neural Networks
Mobile Data Mining by Location Dependencies
Semi-supervised Learning with Ensemble Learning and Graph Sharpening
Time-Series in Hyper-parameter Initialization of Machine Learning Techniques
A Framework to Analyze Biclustering Results on Microarray Experiments
Learning to Classify Biomedical Terms Through Literature Mining and Genetic Algorithms.
Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning
Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks
Data Pre-processing to Apply Multiple Imputation Techniques: A Case Study on Real-World Census Data
Towards Spectral-Texture Approach to Hyperspectral Image Analysis for Plant Classification
Extracting Knowledge from Incompletely Known Models
The Applicability of Federated Learning to Official Statistics
Multi-Agent Systems over RT-Java for a Mobile Robot Control
An Evolution of Geometric Structures Algorithm for the Automatic Classification of HRR Radar Targets
Triaxial Accelerometer Located on the Wrist for Elderly People's Fall Detection
QoS Multicast Routing Based on Particle Swarm Optimization
On the Opportunities for Using Mobile Devices for Activity Monitoring and Understanding in Mining Applications
Evolutionary Search of Optimal Features
General Structure Preserving Network Embedding
Discovering Concept Mappings by Similarity Propagation among Substructures
The Use of Unified Activity Records to Predict Requests Made by Applications for External Services
Decision Making Association Rules for Recognition of Differential Gene Expression Profiles
A Fast Data Preprocessing Procedure for Support Vector Regression
Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism
Exploiting Heterogeneous Features for Classification Learning
Adaptive Machine Learning-Based Stock Prediction Using Financial Time Series Technical Indicators
Cross-Media Retrieval of Tourism Big Data Based on Deep Features and Topic Semantics
Data Ranking Based on Spatial Partitioning
Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network
A Collaborative Recommender System Based on Asymmetric User Similarity
Infeasibility Driven Evolutionary Algorithm with ARIMA-Based Prediction Mechanism
Applying Mutual Information to Adaptive Mixture Models
Giving Voice to the Internet by Means of Conversational Agents
New Applications for Object Recognition and Affine Motion Estimation by Independent Component Analysis
Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective
Finding Unsatisfiable Subformulas with Stochastic Method
Discovering Temporal Rules from Temporally Ordered Data
Evaluation of Decision Tree Pruning with Subadditive Penalties
Stateful Optimization in Federated Learning of Neural Networks
Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approach
Adaptive Dimensionality Adjustment for Online "Principal Component Analysis"
Generalized Low-Computational Cost Laplacian Eigenmaps
Heterogeneous Domain Ontology for Location Based Information System in a Multi-agent Framework
Neural Collaborative Filtering: Hybrid Recommendation Algorithm with Content Information and Implicit Feedback
NN-Based Detector for Known Targets in Coherent Weibull Clutter
Heterogeneous Answer Acquisition Methods in Encyclopedia QA
Audio and Video Feature Fusion for Activity Recognition in Unconstrained Videos
The Feasibility of Deep Learning Use for Adversarial Model Extraction in the Cybersecurity Domain
Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments
Evolvable Hardware Using Genetic Programming
Go-Around Prediction in Non-Stabilized Approach Scenarios Through a Regression Machine-Learning Model Trained from Pilots' Expertise
Stochastic and Non-Stochastic Feature Selection
Clustering of Serious Game Traces Using Formal Concept Analysis
Robotic Precision Fitness: Accurate Pose Training for Elderly Rehabilitation
Using Kullback-Leibler Divergence to Identify Prominent Sensor Data for Fault Diagnosis
PINCoC : A Co-clustering Based Approach to Analyze Protein-Protein Interaction Networks
Using Genetic Algorithm for Network Status Learning and Worm Virus Detection Scheme
An Organizing System to Perform and Enable Verification and Diagnosis Activities
A Proposal for an Optimal Mutation Probability in an Evolutionary Model Based on Turing Machines
Indoor Positioning System for Ubiquitous Computing Environments
Designing an Optimal Network Using the Cross-Entropy Method
Orchids Classification Using Spatial Transformer Network with Adaptive Scaling
Data Mining in Credit Card Approval: Feature Importance Testing Comparison
Abrupt Shot Change Detection Using Multiple Features and Classification Tree
Comparison Among Physiological Signals for Biometric Identification
The Vector Model of Artificial Physics Optimization Algorithm for Global Optimization Problems
SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains
Novelty Detection for Identifying Deterioration in Emergency Department Patients
An Intelligent Topic-Specific Crawler Using Degree of Relevance
Sequential Search for Decremental Edition
A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes
Multi-agent Integer Programming
Melt Index Predict by Radial Basis Function Network Based on Principal Component Analysis
Deep Learning Inference on Edge: A Preliminary Device Comparison
Non-negative Matrix Factorization Implementation Using Graphic Processing Units
A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection
Hybrid Weighted Distance Measures and Their Application to Pattern Recognition
Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem
Feature Selection for Natural Disaster Texts Classification Using Testors
A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-frame Analysis
Financial Risk Modeling with Markov Chains
Learning Discrete Probability Distributions with a Multi-resolution Binary Tree
ICA with Sparse Connections
An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes
Simple Deterministically Constructed Recurrent Neural Networks
Integrating Physical Laws and Deep Learning: A Comparative Study of CNN and LSTM PINNs for Wind Energy
Autonomous and Dependable Recovery Scheme in UPnP Network Settings
An Off-Line Recognizer for Hand-Written Chinese Characters
Data Analysis for Detecting a Temporary Breath Inability Episode
Advancing Robotics Education: Integrating Large Language Models for Natural Language Programming in VET
Incorporating Knowledge in Evolutionary Prototype Selection
Univariate Marginal Distribution Algorithm with Markov Chain Predictor in Continuous Dynamic Environments
Data-Driven Simulation Model Generation for ERP and DES Systems Integration
Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach
Applying Cost-Sensitive Classifiers with Reinforcement Learning to IDS
Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites
Thermal Prediction for Immersion Cooling Data Centers Based on Recurrent Neural Networks
Development of a Database for Convolutional Neural Networks Simulating CFD Analysis
Dynamics of Gradient-Based Learning and Applications to Hyperparameter Estimation
Quantization of Continuous Input Variables for Binary Classification
Co-clustering with Manifold and Double Sparse Representation
Use Case Prediction Using Product Reviews Text Classification
Understanding Matching Data Through Their Partial Components
Towards a Communication Specification Language for Heterogeneous Service Orchestration Based on Process Calculus and Holonic Multi-agent Systems
BP Neural Networks Combined with PLS Applied to Pattern Recognition of Vis/NIRs
Country and Political Risk Analysis of Spanish Multinational Enterprises Using Exploratory Projection Pursuit
A Fuzzy Multi-criteria Decision Model for Information System Security Investment
Knowledge Discovery in Enterprise Databases for Forecasting New Product Success
Strict Monotone of an Edge Intensity Profile and a New Edge Detection Algorithm
Towards Bitcoin Trend Prediction: A Machine Learning Approach Using Blockchain-Derived Data
Neural Networks Approach to the Detection of Weekly Seasonality in Stock Trading
A Comparative Study of Two Novel Predictor Set Scoring Methods
Threat Identification in Humanitarian Demining Using Machine Learning and Spectroscopic Metal Detection
A Multi-layer Trust and Privacy Architecture for Decentralized AI Systems
Multi-dependence Conditional Vector Boosting Categorical Fidelity in Tabular-Data GANs
Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model
An Approximation to Deep Learning Touristic-Related Time Series Forecasting
Throughput Analysis of Automatic Production Lines Based on Simulation Methods
Perceptron Models for Online Structured Prediction
Efficient Search of Winning Strategies in Multi-agent Systems on Random Network: Importance of Local Solidarity
Differential Evolution and Perceptron Decision Trees for Classification Tasks
Talking in Italian About AI with a Chatbot: A Prototype of a Question-Answering Agent
Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks
Kernel Based Manifold Learning for Complex Industry Fault Detection
Review of Trends in Automatic Human Activity Recognition in Vehicle Based in Synthetic Data
Voting-XCSc: A Consensus Clustering Method via Learning Classifier System
A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory
A Knowledge Discovery by Fuzzy Rule Based Hopfield Network
Boosting Orthogonal Least Squares Regression.
Modeling Data Driven Interactions on Property Graph
Spatiotemporal Restoration of Regions Occluded by Text in Video Sequences
An Integrated Approach to Automatic Indoor Outdoor Scene Classification in Digital Images
Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis
Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora
New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques
Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks
Round-Table Architecture for Communication in Multi-agent Softbot Systems
Extensions for Continuous Pattern Mining
A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph
On Some of the Neural Mechanisms Underlying Adaptive Behavior
Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution
Nearest Neighbor Interaction PSO Based on Small-World Model
Variance-Penalized Reinforcement Learning for Risk-Averse Asset Allocation
Using Rules Discovery for the Continuous Improvement of e-Learning Courses
Multivariate Crosstalk Models
Faster Decision Tree Induction with Impurity-Based Heuristic Schema
A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Networks
Taxonomy and Evaluation of XAI Tools for Explainable Machine Learning
Object Detection with Proposals in High-Resolution Optical Remote Sensing Images
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I
Modified Reducts and Their Processing for Nearest Neighbor Classification
Hybrid Evolutionary Algorithm with a Composite Fitness Function for Protein Structure Prediction
Privacy Preserving Technique for Euclidean Distance Based Mining Algorithms Using a Wavelet Related Transform
Very Deep Neural Network for Handwritten Digit Recognition
Calculating Aggregates with Range-Encoded Bit-Sliced Index
Uniform Design of Experiments for Equality Constraints
Neural Network-Based User-Independent Physical Activity Recognition for Mobile Devices
Overlap-Based Undersampling for Improving Imbalanced Data Classification
Load Forecasting with Support Vector Machines and Semi-parametric Method
Qualitative and Quantitative Sentiment Proxies: Interaction Between Markets
Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery
A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments
MASIVE: A Case Study in Multiagent Systems
A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing
A Virtual Join Algorithm for Fast Association Rule Mining
A Construction of the Adapted Ontology Server in EC
Exploring Data Symbion EI Deep Learning and Model Sharing Modules
The Possibility of an Epidemic Meme Analogy for Web Community Population Analysis
An Initialized ACO for the VRPTW
Sparse Prototype Representation by Core Sets
Application of Artificial Neural Network to Building Compartment Design for Fire Safety
Preference Learning from Interval Pairwise Data. A Distance-Based Approach
Sparse Representation Based on Discriminant Locality Preserving Dictionary Learning for Face Recognition
Nonconvex Functions Optimization Using an Estimation of Distribution Algorithm Based on a Multivariate Extension of the Clayton Copula
Combining Ordinal Financial Predictions with Genetic Programming
A New Neural Implementation of Exploratory Projection Pursuit
Random Relevant and Non-redundant Feature Subspaces for Co-training
Development of a Global and Integral Model of Business Management Using an Unsupervised Model
Mining Frequent Trajectory Patterns in Road Network Based on Similar Trajectory
Fast and Frugal Transfer Learning via Precomputed Features and Adaptive Normalization
ACHC: Associative Classifier Based on Hierarchical Clustering
Emotional Sequential Influence Modeling on False Information
Initialising Self-Organising Maps
Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian
Stent Graft Change Detection After Endovascular Abdominal Aortic Aneurysm Repair
Video-Based Conjoint Analysis and Agent Based Simulation for Estimating Customer's Behavior
Quality of Adaptation of Fusion ViSOM
Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning
Effect of the Number of Users and Bias of Users' Preference on Recommender Systems
A Robust Object Tracking Method Based on CamShift for UAV Videos
Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications
Instance Selection Techniques for Large Volumes of Data
Efficient Goal Selection in Automated Planning: A Case Study on Tourist Route Optimization
Zero-Latency Data Warehouse System Based on Parallel Processing and Cache Module
Minimal BSDT Abstract Selectional Machines and Their Selectional and Computational Performance
Improving the Relational Evaluation of XML Queries by Means of Path Summaries
A Study on Human Gaze Estimation Using Screen Reflection
Multilayer Perceptrons as Classifiers Guided by Mutual Information and Trained with Genetic Algorithms
Intelligent Data Engineering and Automated Learning - IDEAL 2015 - 16th International Conference Wroclaw, Poland, October 14-16, 2015, Proceedings
Multiple Classifier Fusion Using k -Nearest Localized Templates
Active Dataset Generation for Meta-learning System Quality Improvement
Spectral Non-gaussianity for Blind Image Deblurring
User Behavior Modeling in a Cellular Network Using Latent Dirichlet Allocation
Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps
Language Models for Automatic Distribution of Review Notes in Movie Production
Unsupervised Defect Detection for Infrastructure Inspection
An Experimental Study on Asymmetric Self-Organizing Map
A Heuristic Optimal Reduct Algorithm
Supervised Isometric Mapping Based Classification Algorithm
Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification
Ontology-Based Classifier for Audio Scenes in Telemedicine
A New Approach to Neural Network Based Stock Trading Strategy
An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes
A Data-Driven Fuzzy Approach to Robot Navigation Among Moving Obstacles
ATM Fraud Detection Using Outlier Detection
Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners
Usage of New Information Estimations for Induction of Fuzzy Decision Trees
A Probabilistic Approach: Querying Web Resources in the Presence of Uncertainty
On the Relations of Theoretical Foundations of Different Causal Inference Algorithms
An Approach to Authenticity Speech Validation Through Facial Recognition and Artificial Intelligence Techniques
Performance Evaluation of Intelligent Prediction Models on Smokers' Quitting Behaviour
Interestingness Measures for Fixed Consequent Rules
Intelligent Data Engineering and Automated Learning, 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003, Revised Papers
Fuzzy Ridge Regression with Non Symmetric Membership Functions and Quadratic Models
Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces
Defect Segmentation in OCT Scans of Ceramic Parts for Non-destructive Inspection Using Deep Learning
On the Choices of the Parameters in General Constrained Learning Algorithms
SVM Based Prediction of Bacterial Transcription Start Sites
Automatic News Video Caption Extraction and Recognition
Research of Dengue Fever Prediction in San Juan, Puerto Rico Based on a KNN Regression Model
Local Search Based on a Local Utopia Point for the Multiobjective Travelling Salesman Problem
Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach
Automatic Categorization of Patent Applications Using Classifier Combinations
Plant Disease Detection and Classification Using a Deep Learning-Based Framework
Adapting Machine Learning Technique for Periodicity Detection in Nucleosomal Locations in Sequences
The Theory of Modified Rings Game
Fuzzy Logic for Layer-Wise Explainability in Deep Neural Networks: A First Approach
A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation
Automatic Multispectral Image Classification of Plant Virus from Leaf Samples
Photovoltaic Power Plant Output Estimation by Neural Networks and Fuzzy Inference
Fuzzy Tool for Proposal of Suitable Products in Online Store and CRM System
Classification of Email Queries by Topic: Approach Based on Hierarchically Structured Subject Domain
Pixel Classification and Heuristics for Facial Feature Localization
Privacy-Preserving Scalar Product Computation in Cloud Environments Under Multiple Keys
SVM Approach to Classifying Lesions in USG Images with the Use of the Gabor Decomposition
Intellectual Properties of Artificial Creativity: Dismantling Originality in European's Legal Framework
Guided and Federated RAG: Architectural Models for Trustworthy AI in Data Spaces
Detecting Performance Anomalies in the Multi-component Software a Collaborative Robot
Learning to Detect the Subway Station Arrival for Mobile Users
Non Parametric Local Density-Based Clustering for Multimodal Overlapping Distributions
A New Semantic Approach for CBIR Based on Beta Wavelet Network Modeling Shape Refined by Texture and Color Features
Integrating KPCA with an Improved Evolutionary Algorithm for Knowledge Discovery in Fault Diagnosis
Efficient Model for Probabilistic Web Resources Under Uncertainty
Clustering and Visualizing SOM Results
A Variable Metric Probabilistic k-Nearest-Neighbours Classifier
Spell Checker Application Based on Levenshtein Automaton
Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks' Energy-Efficient Coverage Optimization
A Bacterial Colony Algorithm for Association Rule Mining
Efficient Face Extraction Using Skin-Color Model and a Neural Network
Genetic Algorithms and Sensitivity Analysis Applied to Select Inputs of a Multi-Layer Perceptron for the Prediction of Air Pollutant Time-Series
Position-Aware String Kernels with Weighted Shifts and a General Framework to Apply String Kernels to Other Structured Data
Efficient Radar Scheduling Using Genetic Algorithms and Stochastic Heuristic Initialization
Ubiquitous Robot: A New Paradigm for Intelligence
A Discriminative Model Corresponding to Hierarchical HMMs
A Perception Evaluation Scheme for Steganography
Pruning Adaptive Boosting Ensembles by Means of a Genetic Algorithm
Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering
A Novel GA-Taguchi-Based Feature Selection Method
Adjusting the Generalized Pareto Distribution with Evolution Strategies - An application to a Spanish Motor Liability Insurance Database
A Comparative Study of Use of Shannon, Rényi and Tsallis Entropy for Attribute Selecting in Network Intrusion Detection
A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks
Support Kernel Machine-Based Active Learning to Find Labels and a Proper Kernel Simultaneously
Modeling of Bicomponent Mixing System Used in the Manufacture of Wind Generator Blades
A Method of Filtering Protein Surface Motifs Based on Similarity Among Local Surfaces
SMas: A Shopping Mall Multiagent Systems
Exploring the Perceived Usefulness and Attitude Towards Using Tesys e-Learning Platform
GREX: A Platform for Supporting Explanations in Group Recommender Systems
Reproducing Kernel Hilbert Space Methods to Reduce Pulse Compression Sidelobes
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Fast Pattern Selection Algorithm for Support Vector Classifiers: Time Complexity Analysis
Intelligent Agents in a Blockchain-Based Electronic Voting System
Empirical Comparison between Two Computational Strategies for Topological Self-Organization
On a Lip Print Recognition by the Pattern Kernel with Multi-resolution Architecture
Generation of Reducts Based on Nearest Neighbor Relation
Imperfect Pattern Recognition Using the Fuzzy Measure Theory
Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric
SOM-Based Novelty Detection Using Novel Data
Compressed Disjunction-Free Pattern Representation versus Essential Pattern Representation
Quantifying Flow Field Distances Based on a Compact Streamline Representation
Fusion of Domain Knowledge for Dynamic Learning in Transcriptional Networks
TweetSemMiner: A Meta-Topic Identification Model for Twitter Using Semantic Analysis
Hybrid Cross-Entropy Method/Hopfield Neural Network for Combinatorial Optimization Problems
A Fuzzy Approach for Studying Combinatorial Regulatory Actions of Transcription Factors in Yeast
An Analysis of Protein Patterns Present in the Saliva of Diabetic Patients Using Pairwise Relationship and Hierarchical Clustering
Data Mining for Fuzzy Decision Tree Structure with a Genetic Program
Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool
A Linear Learning Method for Multilayer Perceptrons Using Least-Squares
A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization
Self-Organizing Polynomial Neural Networks Based on Matrix Inversion and Differential Evolution
Adaptive Filtering for GARCH Models
Discussion of Graph Reachability Query with Keyword and Distance Constraint
Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory
A Fast Algorithm for Relevance Vector Machine
Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches
A Framework to Mine High-Level Emerging Patterns by Attribute-Oriented Induction
FPGA-Based Architecture for Computing Testors
Trading Cryptocurrency with Deep Deterministic Policy Gradients