yusuke1997/dblp-id-title huggingface dataset:
Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases
A Robust One-Class Classification Model with Interval-Valued Data Based on Belief Functions and Minimax Strategy
Aligning Bayesian Network Classifiers with Medical Contexts
A comparison of linear and machine learning models for the simulation of soil moisture
Separability of Split Value Criterion with Weighted Separation Gains
A Crowd Sensing Approach to Video Classification of Traffic Accident Hotspots
Blog Mining for the Fortune 500
Annotating Biodiversity Spreadsheets through 5W1H based on Machine Learning
Mixture Random Effect Model Based Meta-analysis for Medical Data Mining
Optimising the Choice of Colours of an Image Database for Dichromats
A Pattern Based Two-Stage Text Classifier
Optimal Time Segments for Stress Detection
Mining your way to a solid survey
Dictionary Learning Based on Laplacian Score in Sparse Coding
Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels
Efficient Subsequence Matching Using the Longest Common Subsequence with a Dual Match Index
Hierarchical Bayesian Classifier Combination
LiveDoc: Showing Contextual Information Using Topic Modeling Techniques
Energy Disaggregation Based on Semi-Binary NMF
Using Glocal Event Alignment for Comparing Sequences of Significantly Different Lengths
Transductive Relational Classification in the Co-training Paradigm
Efficient Locally Linear Embeddings of Imperfect Manifolds
SSC: Statistical Subspace Clustering
Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution
Authorship Similarity Detection from Email Messages
Machine Learning and Data Mining in Pattern Recognition, 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Post Proceedings
Reinforcement Learning for Computer Vision and Robot Navigation
Top-N Minimization Approach for Indicative Correlation Change Mining
Manifold Learning in Data Mining Tasks
Similarity-Based Clustering of Sequences Using Hidden Markov Models
3D Geovisualisation Techniques Applied in Spatial Data Mining
Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods
Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier
On the Vapnik-Chervonenkis Dimension of Binary Tables
Mobile Robot Localization via Machine Learning
Independent Feature Analysis for Image Retrieval
PATENet: Pairwise Alignment of Time Evolving Networks
Semantic similarity estimation for domain speci?c data using BERT and other techniques
Smart Meter Data Analysis for Power Theft Detection
Clonal Selection Algorithm Applied to Object Recognition in Mobile Robots
The Computing Algorithm of Barrier Tree Based on the Basin Hopping Graph in RNA Structure
Graph-based Sparse Representation for Hyperspectral Image Classification
An Approach to Mining Picture Objects Based on Textual Cues
Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function
Monitoring Distributed Data Streams through Node Clustering
Fusing Dimension Reduction and Classification for Mining Interesting Frequent Patterns in Patients Data
Flow Prediction Versus Flow Simulation Using Machine Learning Algorithms
Statistical Identification of Key Phrases for Text Classification
Author Attribution of Email Messages Using Parse-Tree Features
Similarity-Based Attribute Selection with n-Grams
Handbags Classication Model via Deep Learning
A New Approach to Human Motion Sequence Recognition with Application to Diving Actions
List Price Optimization Using Customized Decision Trees
Compact Representation of Documents Using Terms and Termsets
AdaMS: Adaptive Mountain Silhouette Extraction from Images
Multi-source Data Modelling: Integrating Related Data to Improve Model Performance
Semi-supervised Time Series Modeling for Real-Time Flux Domain Detection on Passive DNS Traffic
A Model for Diagnosis of Alzheimer's Disease Using Haralick Texture Features and Meta Feature Selection
Gait Recognition by Applying Multiple Projections and Kernel PCA
Comparison of FLDA, MLP and SVM in Diagnosis of Lung Nodule
Feature Selection for Handling Concept Drift in the Data Stream Classification
Mining Player Ranking Dynamics in Team Sports
Proximity-Graph Instance-Based Learning, Support Vector Machines, and High Dimensionality: An Empirical Comparison
Detection of Computer-Generated Papers Using One-Class SVM and Cluster Approaches
Mining Lung Shape from X-Ray Images
Server Failure Prediction Framework for IT Infrastructure Supporting Critical Applications
Machine Learning and Data Mining in Pattern Recognition - 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013. Proceedings
An Information Retrieval Approach for Finding Dependent Subspaces of Multiple Views
A Semi-supervised Approach to Discover Bivariate Causality in Large Biological Data
Explainable Artificial Intelligence for Match Analysis in Association Football
Hyperspectral Remote Temperature Estimation Robust to Atmospheric Variation with Fourier Transform Infrared and Deep Learning
Using Support Vector Machines for Intelligent Service Agents Decision Making
Text Classification Using Small Number of Features
A Comparison Framework of Similarity Metrics Used for Web Access Log Analysis
Validation of Click Fraud Detection Models
Data Clustering: User's Dilemma
A Method of Crowd-Sourced Information Extraction From Large Data Files
MapReduce-Based Growing Neural Gas for Scalable Cluster Environments
Technology of Text Mining
Neural-Attention Multi-Instance Learning for Predicting User Demographics from Highly Noisy Tweets
Discovering Association Patterns Based on Mutual Information
A New Approach for Tuned Clustering Analysis
Applying Data Mining to Healthcare: A Study of Social Network of Physicians and Patient Journeys
Is the Distance Compression Effect Overstated? Some Theory and Experimentation
Hot Deck Methods for Imputing Missing Data - The Effects of Limiting Donor Usage
K-Means over Incomplete Datasets Using Mean Euclidean Distance
A Bayesian Approach to Sparse Learning-to-Rank for Search Engine Optimization
Application of Fractal Theory for On-Line and Off-Line Farsi Digit Recognition
Learning the Relationship Between Corporate Governance and Company Performance Using Data Mining
Accuracy-Based Classification EM: Combining Clustering with Prediction
A Dynamics of the Hough Transform and Artifical Neural Networks
Greedy Graph Edit Distance
Attention Region Based Approach for Tracking Individuals in a Small School of Fish for Water Quality Monitoring
A Geometric Model of Cytoskeletal Tension in Adherent Cells
Mirror Image Learning for Handwritten Numeral Recognition
Sparse Dynamic Time Warping
Incremental Web-Site Boundary Detection Using Random Walks
Customized use of Expectation Maximization for Glioma Identication from Brain MRIs
Optimal Double-Kernel Combination for Classification
Over-Fitting in Model Selection with Gaussian Process Regression
Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders
Document Clustering Using Local and Universal Knowledge
Improving the Algorithm for Mapping of OWL to Relational Database Schema
Learning of Natural Trading Strategies on Foreign Exchange High-Frequency Market Data Using Dynamic Bayesian Networks
Pattern Mining with Natural Language Processing: An Exploratory Approach
Towards an Efficient Method of Modeling "Next Best Action" for Digital Buyer's Journey in B2B
An Efficient Approximate EMST Algorithm for Color Image Segmentation
Optimization for Large-Scale Machine Learning with Distributed Features and Observations
Mining Bridge and Brick Network Motifs
Long Tail Attributes of Knowledge Worker Intranet Interactions
Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise
Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images
An Integrated Approach for Mining Meta-rules
Tree Based Clustering On Large, High Dimensional Datasets?
Pruning a Random Forest by Learning a Learning Algorithm
Topic Sentiment Change Analysis
Data Driven Geometry for Learning
Comprehensible Enzyme Function Classification Using Reactive Motifs with Negative Patterns
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Temporal Approach to Association Rule Mining Using T-Tree and P-Tree
Ensemble-based Feature Selection Criteria
SentiSAIL: Sentiment Analysis in English, German and Russian
Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines
Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction
SOStream: Self Organizing Density-Based Clustering over Data Stream
Machine Learning and Data Mining in Pattern Recognition, 15th International Conference on Machine Learning and Data Mining, MLDM 2019, New York, NY, USA, July 20-25, 2019, Proceedings, Volume I
A Semantic Framework for Mining Novel Knowledge from Multimedia Data
Long Short-Term Memory Recurrent Neural Network for Stroke Prediction
Measuring the Dynamic Relatedness between Chinese Entities Orienting to News Corpus
A Grouping Method for Categorical Attributes Having Very Large Number of Values
A Hybrid Algorithm Based on Evolution Strategies and Instance-Based Learning, Used in Two-Dimensional Fitting of Brightness Profiles in Galaxy Images
Multi-agent System Approach to React to Sudden Environmental Changes
Feature Reduction for Multi Label Classification of Discrete Data
Modified Bootstrap Approach with State Number Optimization for Hidden Markov Model Estimation in Small-Size Printed Arabic Text Line Recognition
Bagging Random Trees for Estimation of Tissue Softness
A General Learning Method for Automatic Title Extraction from HTML Pages
FAM-Based Fuzzy Inference for Detecting Shot Transitions
Boosting Inspired Process for Improving AUC
Semi Supervised Clustering: A Pareto Approach
A Comprehensible SOM-Based Scoring System
On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers
You Are What You Tweet: A New Hybrid Model for Sentiment Analysis
Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification
Image Segmentation of Brainbow Images by Using Dirichlet Mixture Models
A Fast Parallel Optimization for Training Support Vector Machine
Automatic Identification of Diatoms Using Decision Forests
FSMS: A Frequent Subgraph Mining Algorithm Using Mapping Sets
Nonlinear Feature Selection by Relevance Feature Vector Machine
CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm
Novel approach for Label Disambiguation via Deep Learning
Rule-Based Ensemble Solutions for Regression
A Multi-path Strategy for Hierarchical Ensemble Classification
Learning from Imbalanced Datasets using a Distance-based Over-sampling Method
Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification
The Gapped Spectrum Kernel for Support Vector Machines
Machine Learning and Data Mining in Pattern Recognition, First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, Proceedings
Automatic Vehicle Number Plate Recognition by Mathematical Morphology and Data Mining
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization
Efficient AdaBoost Region Classification
Improving a Bayesian Decision Model for Supporting Diagnosis of Alzheimer's Disease and Related Disorders
Using Machine Learning Algorithms to Predict the Likelihood of Recurrent Falls in Older Adults
DSCo: A Language Modeling Approach for Time Series Classification
Selection of Experts for the Design of Multiple Biometric Systems
Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering
A Tabu-based Approach for Topic Extraction
Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification
Large Scale Visual Classification with Many Classes
Sensitivity Analysis for Weak Constraint Generation
Inference on Distributed Data Clustering
Applications of Concurrent Sequential Patterns in Protein Data Mining
Unsupervised Learning of Local Mean Gray Values for Image Pre-processing
Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns
A Lightweight Combinatorial Approach for Inferring the Ground Truth from Multiple Annotators
Linear Manifold Clustering
Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle
Removal of Non-Stationary See-Through Interferences from Recto-Verso Documents
Cost Integration in Multi-step Viewpoint Selection for Object Recognition
Discovery of Hidden Correlations in a Local Transaction Database Based on Differences of Correlations
Drift-Aware Ensemble Regression
Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine
Statistical Supports for Frequent Itemsets on Data Streams
An Improved Tabu Search (ITS) Algorithm Based on Open Cover Theory for Global Extremums
A "Sentimental Analysis" of Computer-Generated Papers
One Lead ECG Based Personal Identification with Feature Subspace Ensembles
Failure Analysis on Multivariate Time-series Data given Uncertain Labels
Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss
Machine Learning-as-a-Service and Its Application to Medical Informatics
Seizure Prediction by Graph Mining, Transfer Learning, and Transformation Learning
Open Issues on Codebook Generation in Image Classification Tasks
Analysis of Linear and Non-Linear Classiers in Imbalanced Data to Predict Diabetes Induced Complications
Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization
Remembering Similitude Terms in CBR
3D Head Model Classification based on Cluster Ensemble
Evolving Committees of Support Vector Machines
An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams
Machine Learning and Data Mining in Pattern Recognition, 15th International Conference on Machine Learning and Data Mining, MLDM 2019, New York, NY, USA, July 20-25, 2019, Proceedings, Volume II
Educational Data Mining: An Application of Regressors in Predicting School Dropout
Automatic Keyphrase Extraction Using Recurrent Neural Networks
Binary Sparse Dynamic Time Warping
Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation
A Bayesian Approach to Sparse Cox Regression in High-Dimentional Survival Analysis
Feature Selection Method Using Preferences Aggregation
ODDboost: Incorporating Posterior Estimates into AdaBoost
A Sequential Hybrid Forecasting System for Demand Prediction
Generalized Hand Gesture Recognition for Wearable Devices in IoT: Application and Implementation Challenges
MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection
Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes
Exploration Strategies for Learned Probabilities in Smart Terrain
Dynamic Facial Expression Recognition Based on Visual Rhythms and Motion History Images
The Wild Bootstrap Resampling in Regression Imputation Algorithm with a Gaussian Mixture Model
A Unified View of Objective Interestingness Measures
Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA
A Novel Rule Ordering Approach in Classification Association Rule Mining
On combining dynamic selection, sampling, and pool generators for credit scoring
EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets
Fast Pattern Recognition and Deep Learning Using Multi-Rooted Binary Decision Diagrams
Enhancing Image Retrieval by an Exploration-Exploitation Approach
SVM Based Action Scene Detection
Smoothing Multinomial Naïve Bayes in the Presence of Imbalance
Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model
Towards the Efficient Recovery of General Multi-Dimensional Bayesian Network Classifier
Decremental Learning of Evolving Fuzzy Inference Systems: Application to Handwritten Gesture Recognition
Kernel MDL to Determine the Number of Clusters
MOGACAR: A Method for Filtering Interesting Classification Association Rules
Mining Spatial Trajectories Using Non-parametric Density Functions
Lazy Overfitting Control
A Visualized Data Analysis Framework for Online-Shopping Products
Parametric Representation of Objects in Color Space Using One-Class Classifiers
Clustering and Separating of a Set of Members in Terms of Mutual Distances and Proximities
A General Lp-norm Support Vector Machine via Mixed 0-1 Programming
Distributed Evolutionary Optimization of Neural Network Topologies
Importance of Recommendation Policy Space in Addressing Click Sparsity in Personalized Advertisement Display
Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?
Data Mining on Crash Simulation Data
Detecting Customer Churn Signals for Telecommunication Industry Through Analyzing Phone Call Transcripts with Recurrent Neural Networks
Face Detection by Aggregated Bayesian Network Classifiers
Aggregation-Aware Compression of Probabilistic Streaming Time Series
Improved MRI Mining by Integrating Support Vector Machine Priors in the Bayesian Restoration
Predicting Classification Decisions with Data Point Based Meta-learning
Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach
Robust Principal Component Analysis of Data with Missing Values
Towards SISI - a Self Adaptive Insert Strategy for the Intelligent Cluster Index (ICIx)
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps
Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields
Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases
Machine Learning and Data Mining in Pattern Recognition - 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
Assessing the Eligibility of Kidney Transplant Donors
A Spectral Clustering Based Outlier Detection Technique
Detection of Communities and Bridges in Weighted Networks
When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency
Pre-release Box-Office Success Prediction for Motion Pictures
A New Multidimensional Feature Transformation for Linear Classifiers and Its Applications
Automatic Detection of Latent Common Clusters of Groups in MultiGroup Regression
PCA-Based Model Selection and Fitting for Linear Manifolds
An Iimproved GEP-Cluster Algorithm
Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures
Reverse Engineering Gene Regulatory Networks Using Graph Mining
An Automatic Matching Procedure of Ultrasonic Railway Defectograms
Unsupervised Grammar Inference Using the Minimum Description Length Principle
Visualizing Sequences of Texts Using Collocational Networks
Spherical Nearest Neighbor Classification: Application to Hyperspectral Data
DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines
Data Reduction Effects on Classification Accuracy and Training Time
Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks
Sensing Attacks in Computers Networks with Hidden Markov Models
Record Linkage Using Graph Consistency
ACCD: Associative Classification over Concept-Drifting Data Streams
A Probabilistic Approach for Constrained Clustering with Topological Map
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow
The K29* Algorithm for Linear Prediction
Pacc - A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results
Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA
Following the Common Thread Through Word Hierarchies
Rank Aggregation Algorithm Selection Meets Feature Selection
GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions
Multiple Regression Method Based on Unexpandable and Irreducible Convex Combinations
Linear complexity algorithms for high dimensional SVM and regression problems with smart sparse regularization
Combination of Vector Quantization and Visualization
A Data Mining Application for Monitoring Environmental Risks
Applications of Celluar Neural Networks for Shape from Shading Problem
Learning with a Quadruped Chopstick Robot
Fast Spectral Clustering with Random Projection and Sampling
Efficient Clustering of Web-Derived Data Sets
Classification and Outlier Detection Based on Topic Based Pattern Synthesis
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
Fraud Detection Using Explainable Machine Learning Algorithms
NOV-mRSI: A Novel Algorithm for Minimal Rare Singnificance Itemsets Mining NOT Satisfy the Downward Closure Property in Transactional Databases
Towards B-Coloring of SOM
Optimized Similarity Measure Over Trie
Neural Expert Model Applied to Phonemes Recognition
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
Low-Level Cursive Word Representation Based on Geometric Decomposition
Comparing Clustering and Metaclustering Algorithms
Machine Learning and Data Mining in Pattern Recognition - 7th International Conference, MLDM 2011, New York, NY, USA, August 30 - September 3, 2011. Proceedings
Unsupervised Discovery of Motifs under Amplitude Scaling and Shifting in Time Series Databases
Machine Learning and Data Mining in Pattern Recognition, 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Prediction of Insurance Claim Severity Loss Using Regression Models
A Spectral Clustering Method for Large-Scale Geostatistical Datasets
Detecting the Boundary Curve of Planar Random Point Set
An Agent-Based Approach to the Multiple-Objective Selection of Reference Vectors
Fast-Maneuvering Target Seeking Based on Double-Action Q-Learning
Towards Self-Exploring Discriminating Features
Simulator Prototyping Through Graphical Dependency Modeling
Shifting Concepts to Their Associative Concepts via Bridges
Restricted Sequential Floating Search Applied to Object Selection
Performance Gain of Different Parallelization Approaches for Growing Neural Gas
DeepSeed: A Deep Learning Methodology for Automated Soybean Seed Damage Classification
Combination of Physiological and Behavioral Biometric for Human Identification
Predicting Social Unrest Using GDELT
Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming
A Novelty Detection Method Based on Frequent Itemsets
A Probabilistic Matrix Factorization Method for Link Sign Prediction in Social Networks
Reduction of Distance Computations in Selection of Pivot Elements for Balanced GHT Structure
A Machine Learning Approach to Test Data Generation: A Case Study in Evaluation of Gene Finders
Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix
On a Splitting Criterion for Decision Trees in Data Streams
GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms
Statistical Learning on Manifold-Valued Data
The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets
Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words
Semantic Annotation of Satellite Images
A Learning Autonomous Driver System on the Basis of Image Classification and Evolutional Learning
Simple Mimetic Classifiers
An Evidence Accumulation Approach to Constrained Clustering Combination
A Dirichlet Process Mixture Model for Clustering of Household Electricity Load Profiles