yusuke1997/dblp-id-title huggingface dataset:
Large-Scale Targeted Marketing by Supervised PageRank with Seeds
Application of Bagging, Boosting and Stacking to Intrusion Detection
Discovering Latent Association Structure via Bayesian one-mode Projection of Temporal Bipartite Graphs
A New Measure of Outlier Detection Performance
Fast K-medoids Clustering Algorithm Using Triangle Inequality
Palmprint Recognition Based on Local Texture Features
A Pattern Discovery Model for Effective Text Mining
A Comparative Study to the Bank Market Prediction
A Hybrid Approach to Increase the Performance of Protein Folding Recognition Using Support Vector Machines
Generalized Fuzzy Aggregation Operators
Machine Learning and Data Mining in Pattern Recognition - 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings
Data Analysis for Courses Registration
A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores
The Nearest Centroid Based on Vector Norms: A New Classification Algorithm for a New Document Representation Model
Using Bayesian Networks to Analyze Medical Data
Adaptive Adjacency Kanerva Coding for Memory-Constrained Reinforcement Learning
A Closed Frequent Subgraph Mining Algorithm in Unique Edge Label Graphs
Support Vector Machine with Graphical Network Structures in Features
Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios
On Applying Dimension Reduction for Multi-labeled Problems
Mining Associations in Large Graphs for Dynamically Incremented Marked Nodes
The Best Combining of Classifiers with Prior Probabilities
ivhd: A Robust Linear-Time and Memory Efficient Method for Visual Exploratory Data Analysis
A Clustering Approach for Discovering Intrinsic Clusters in Multivariate Geostatistical Data
Integrating Fuzziness with OLAP Association Rules Mining
Ranked Modelling with Feature Selection Based on the CPL Criterion Functions
Interestingness Hotspot Discovery in Spatial Datasets Using a Graph-Based Approach
A Tag2Vec Approach for Questions Tag Suggestion on Community Question Answering Sites
Minimizing Cluster Errors in LP-Based Nonlinear Classification
Enumerating Maximal Isolated Cliques Based on Vertex-Dependent Connection Lower Bound
Evaluating Frequent-Set Mining Approaches in Machine-Learning Problems with Several Attributes: A Case Study in Healthcare
Discretization of Target Attributes for Subgroup Discovery
A Novel Approach to Iris Normalization using Non-Concentric Circles
Association Rule Mining in Fuzzy Political Donor Communities
Machine Learning and Data Mining in Pattern Recognition, 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings
Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine
Machine Learning and Data Mining in Pattern Recognition, Second International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, Proceedings
Personalized Visualization Based upon Wavelet Transform for Interactive Software Customization
Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning
A Comparison between Neural Networks and Decision Trees
Comparing State-of-the-Art Collaborative Filtering Systems
Machine Learning and Data Mining in Pattern Recognition, 7th International Conference, MLDM 2011, New York, USA, September/August 2011, Poster Proceedings
Clust-XPaths: Clustering of XML Paths
Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks
An Automatic Face Recognition System in the Near Infrared Spectrum
On Fixed Convex Combinations of No-Regret Learners
Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification
Towards Automated Transactions Based on the Offline Handwritten Signatures
A Large Margin Classifier with Additional Features
Optimization of the Weighting Exponent in the Fuzzy c-means Clustering
Reverse Engineering Gene Regulatory Networks Using Sampling and Boosting Techniques
Long Short-Term Memory-based Multi-Period Price Prediction for Portfolio Management
GENCCS: A Correlated Group Difference Approach to Contrast Set Mining
Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering
Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking
Learning Heuristics to Reduce the Overestimation of Bipartite Graph Edit Distance Approximation
Selecting Classification Algorithms with Active Testing
EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization
Visual Data Mining of Agriculture Data
Driving Style Identification with Unsupervised Learning
Supervised Evaluation of Dataset Partitions: Advantages and Practice
From Black-Box to White-Box: Interpretable Learning with Kernel Machines
Stochastic Optimization of Plain Convolutional Neural Networks with Simple Methods
Semantic Analysis of Association Rules via Item Response Theory
Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification
Relevance and Redundancy Analysis for Ensemble Classifiers
Spectrum Steganalysis of WAV Audio Streams
Comparative Analysis of Features Selection Techniques for Classification in Healthcare
Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining
Object Detection and Classi?cation in Low Resolution Underwater Imagery Using Deep Neural Network and Motion-Inspired Features
Hierarchical Partitions for Content Image Retrieval from Large-Scale Database
Shape Recovery from an Unorganized Image Sequence
A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells
Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval
Authoring Cases from Free-Text Maintenance Data
Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method
Pattern Mining Across Domain-Specific Text Collections
Social Media Sentiment Analysis Based on Domain Ontology and Semantic Mining
Evolving a Low Price Recovery Strategy for Distressed Securities
Mining Frequent Trajectories of Moving Objects for Location Prediction
Predicting Target Events in Industrial Domains
A Filter-Refinement Scheme for 3D Model Retrieval Based on Sorted Extended Gaussian Image Histogram
Adaptive Multiple-Resolution Stream Clustering
A Streaming Analytics Language for Processing Cyber Data
Automated Contradiction Detection in Biomedical Literature
Clustering Data Stream by a Sub-window Approach Using DCA
A Cost-Sensitive Based Approach for Improving Associative Classification on Imbalanced Datasets
Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings
DAGSVM vs. DAGKNN: An Experimental Case Study with Benthic Macroinvertebrate Dataset
A Deep Learning Based Automatic Severity Detector for Diabetic Retinopathy
Global Flow and Temporal-Shape Descriptors for Human Action Recognition from 3D Reconstruction Data
Concepts Learning with Fuzzy Clustering and Relevance Feedback
A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage
Computer Recognition of Facial Expressions of Emotion
Hybrid Approach for Inductive Semi Supervised Learning Using Label Propagation and Support Vector Machine
A Review on Artificial Intelligence Based Parameter Forecasting for Soil-Water Content
RNN Based Sampling Technique for Effective Active Learning
Principles of Multi-kernel Data Mining
A Pattern Recognition System for Malicious PDF Files Detection
A New Minimum Spanning Tree Algorithm Constructed in A Backward Fashion
Determining Regularization Parameters for Derivative Free Neural Learning
A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation
High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry
Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis
A Bounded Index for Cluster Validity
A Mixture of Personalized Experts for Human Affect Estimation
Machine Learning Applied to Point-of-Sale Fraud Detection
On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples
A New Global Foreground Modeling and Local Background Modeling Method for Video Analysis
Tuning Decision Tree Models by Imposing Visual Constraints
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees
How much Testing is Enough? A Learning Approach
Estimating a Quality of Decision Function by Empirical Risk
Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification
PE-PUC: A Graph Based PU-Learning Approach for Text Classification
Tree Kernel and Feature Vector Methods for Formal Semantic Requests Classification
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
An Unsupervised Statistical Moving Shadow Detection Method for Video Analysis
Analysis of growth in Students Intake and Degree Awarding Contribution: A Comparison of Stanford and MIT
Community detection in networks with fuzzy boundaries
Selection of Subsets of Ordered Features in Machine Learning
Approximation of the Parameters of a Readability Formula by Robust Regression
A Time Series Model of the Writing Process
Discovering K Web User Groups with Specific Aspect Interests
SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms
Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation
Simplification Methods for Model Trees with Regression and Splitting Nodes
Hierarchical Clustering with High Order Dissimilarities
A Fast AEMST Algorithm for High-Dimensional Datasets by Removing Redundant Distance Computation
Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration
The Needles-in-Haystack Problem
Audio-Based Emotion Recognition in Judicial Domain: A Multilayer Support Vector Machines Approach
A New Learning Structure Heuristic of Bayesian Networks from Data
Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network
Automatic Cell Tracking and Kinetic Feature Description of Cell Paths for Image Mining
Adaptive Query Shifting for Content-Based Image Retrieval
Predicting Drug Target Interactions Based on GBDT
Introspective Learning to Build Case-Based Reasoning (CBR) Knowledge Containers
Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia
Critical Scale for Unsupervised Cluster Discovery
Coevolutionary Feature Learning for Object Recognition
A Hybrid Tool for Data Mining in Picture Archiving System
Storytelling with Signal Injection: Focusing Stories with Domain Knowledge
A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection
Summarization-Guided Greedy Optimization of Machine Learning Model
A Machine Learning Model for Information Retrieval with Structured Documents
Learning Multi-label Alternating Decision Trees from Texts and Data
Mining Ranking Models from Dynamic Network Data
Techniques for Improving Filters in Power Grid Contingency Analysis
Offline Writer Identification in Tamil Using Bagged Classification Trees
Boosting Support Vector Machines
Transductive Learning from Relational Data
Machine Learning and Data Mining in Pattern Recognition - 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings
Semi-Supervised Stream Clustering Using Labeled Data Points
Query Click and Text Similarity Graph for Query Suggestions
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
Parallel Framework for Unsupervised Classification of Seismic Facies
Concept Mining for Indexing Medical Literature
Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies
Understanding Customers and Their Grouping via WiFi Sensing for Business Revenue Forecasting
A Hybrid Neural Machine Translation Technique for Translating Low Resource Languages
Fuzzy Networks Model, a Reliable Adoption in Corporations
How Much True Structure Has Been Discovered?
Multi-label Image Annotation Based on Neighbor Pair Correlation Chain
Lung Nodules Classification in CT Images Using Simpson's Index, Geometrical Measures and One-Class SVM
Data Selection Using SASH Trees for Support Vector Machines
Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM
Partial Discharge Analysis and Inspection Alert Generation in High Power Transformers: A Case Study of an Autotransformer Bank at Eletrobrás-ELETRONORTE Vila do Conde Station
KDBuss Framework: Knowledge Discovery with Association Rules in the Business Context
Development of an Agreement Metric Based Upon the RAND Index for the Evaluation of Dimensionality Reduction Techniques, with Applications to Mapping Customer Data
Learning Betting Tips from Users' Bet Selections
Multi-document Text Summarization Using Topic Model and Fuzzy Logic
Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson's Disease
Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks
An Efficient and Scalable Algorithm for Mining Maximal - High Confidence Rules from Microarray Dataset
Dynamic Distance-Based Active Learning with SVM
Enhancing Outlier Detection by an Outlier Indicator
Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce
Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation
Mining Frequent Closed Set Distinguishing One Dataset from Another from a Viewpoint of Structural Index
A Generalized Relationship Mining Method for Social Media Text Data
Decisions: Algebra and Implementation
Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network
Discovering Relations Among Entities from XML Documents
Social Activism Analysis: An Application of Machine Learning in the World Values Survey
On the Temporal Behavior of EEG Recorded during Real Finger Movement
New Semantic Similarity Based Model for Text Clustering Using Extended Gloss Overlaps
Two-Sample Tests for High Dimensional Distributions Using One-Dimensional Random Projections
Quadratically Constrained Maximum a Posteriori Estimation for Binary Classifier
Generalized Nonlinear Classification Model Based on Cross-Oriented Choquet Integral
Modeling and Simulation of UEFA Champions League
Data Mining Application in Goldbach Conjecture
Spammer Detection via Combined Neural Network
On the Size of a Classification Tree
Anomaly Detection from Kepler Satellite Time-Series Data
Inferring Censored Geo-Information with Non-Representative Data
Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons
CSBIterKmeans: A New Clustering Algorithm Based on Quantitative Assessment of the Clustering Quality
Finding Multi-dimensional Patterns in Healthcare
Investigating Long Short-Term Memory Networks for Various Pattern Recognition Problems
A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases
Support Vector Machine Experiments for Road Recognition in High Resolution Images
Creation of Bi-lingual Social Network Dataset Using Classifiers
Automatic Design of Multiple Classifier Systems by Unsupervised Learning
An Efficient Two-Layer Classification Approach for Hyperspectral Images
Optimizing Support Vector Regression with Swarm Intelligence for Estimating the Concrete Compression Strength
Relevance as a Metric for Evaluating Machine Learning Algorithms
Granular Instances Selection for Fuzzy Modeling
A Neural Approach for SME's Credit Risk Analysis in Turkey
Regularized Extreme Learning Machine with Adaptive Regularization Parameter
Prediction of Telephone User Attributes Based on Network Neighborhood Information
Hybrid Learning of Ontology Classes
Applications of Statistical and Machine Learning Time-Series Methods for Predicting Internet Usage
On Learning and Exploiting Time Domain Traffic Patterns in Cellular Radio Access Networks
Understanding Patterns with Different Subspace Classification
Equivalence Learning in Protein Classification
Acquisition of Concept Descriptions by Conceptual Clustering
Lung Nodules Classification in CT Images Using Shannon and Simpson Diversity Indices and SVM
Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish
Semi-supervised Clustering: A Case Study
A General Framework of Feature Selection for Text Categorization
Mining Data Stream to Detect Behavior Change in a Real-Time Strategy Game
Machine Learning and Data Mining in Pattern Recognition, 9th International Conference, MLDM 2013, New York, USA, July 2013, Poster Proceedings
On Genetic Algorithms for Detecting Frequent Item Sets And Large Bite Sets
Ensemble Learning for Concept Drift Handling - the Role of New Expert
Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I
Can Software Project Maturity Be Accurately Predicted Using Internal Source Code Metrics?
Detecting Large Concept Extensions for Conceptual Analysis
Neural Networks in MR Image Estimation from Sparsely Sampled Scans
Adversarial Machine Learning: A Literature Review
Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding
Outlier Detection with Explanation Facility
A Neuro-Genetic System for Cardiac Arrhythmia Classification
Content Based Identification of Talk Show Videos Using Audio Visual Features
Relation Decomposition: The Theory
A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set
Contrasting Correlations by an Efficient Double-Clique Condition
Birds of a Feather Surf Together: Using Clustering Methods to Improve Navigation Prediction from Internet Log Files
Learning to Rank and Discover for E-Commerce Search
Lifetime reward optimization for online ads experiment
A Clustering Algorithm Based on Generalized Stars
Machine Learning and Data Mining in Pattern Recognition - 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings
Personalized Blended E-learning System Using Knowledge Base Approach Based on Information Processing Speed Cognitive
An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data
CCIC: Consistent Common Itemsets Classifier
Disjunctive Sequential Patterns on Single Data Sequence and Its Anti-monotonicity
Some Improvements of the ILP System HYPER Used in the Context of Robotic Learning
Accurate On-Road Vehicle Detection with Deep Fully Convolutional Networks
Handwritten Text Line Segmentation using Connectivity Strength between Connected Components
A New Combined Fractal Scale Descriptor for Gait Sequence
Multi Model Transfer Learning with RULES Family
Rule Induction Partitioning Estimator - A New Deterministic Algorithm for Data Dependent Partitioning Estimate
Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 2009, Poster Proceedings
Assisting Data Mining through Automated Planning
Tweet Classification Using Sentiment Analysis Features and TF-IDF Weighting for Improved Flu Trend Detection
Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition
Symbolic Learning Techniques in Paper Document Processing
A Comparative Study of Outlier Detection Algorithms
Vehicle Classication in Video Using Deep Learning
Machine Learning and Data Mining in Pattern Recognition, Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, Proceedings
A Wavelet-Based Method for Detecting Seismic Anomalies in Remote Sensing Satellite Data
Outlier Detection with Kernel Density Functions
Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications
Machine Learning-Based Classification of Encrypted Internet Traffic
Fast Detection of Block Boundaries in Block-Wise Constant Matrices
An Empirical Study of Reducing Multiclass Classification Methodologies
Analytic Feature Selection for Support Vector Machines
Building of Classifiers Based on Conjugation Indices
Detecting Programming Language from Source Code Using Bayesian Learning Techniques
Preceding Rule Induction with Instance Reduction Methods
IncMSTS-PP: An Algorithm to the Incremental Extraction of Significant Sequences from Environmental Sensor Data
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity Using Convolutional Neural Networks
Signature-Based Approach for Intrusion Detection
Prefix and Suffix Sequential Pattern Mining
On the Combination of Locally Optimal Pairwise Classifiers
Spam Review Detection Using Ensemble Machine Learning
Classifier Fusion Using Discounted Dempster-Shafer Combination
Learning in Pattern Recognition
Robust Supervised Classifiers for Nondegenerate Generalized Gaussian Pattern Distributions with a Bounded Variance
Efficient Error Setting for Subspace Miners
A New Approach for Association Rule Mining and Bi-clustering Using Formal Concept Analysis
How Many Trees in a Random Forest?
A Comparison between Haralick's Texture Descriptor and the Texture Descriptor Based on Random Sets for Biological Images
Mining Educational Data to Predict Students' Academic Performance
FIDS: Monitoring Frequent Items over Distributed Data Streams
Finding Active Expert Users for Question Routing in Community Question Answering Sites
Genetic-Based Thresholds for Multi Histogram Equalization Image Enhancement
A ROC-Based Reject Rule for Support Vector Machines
Rule Learning with Negation for Text Classification
Autonomous Vehicle Steering Based on Evaluative Feedback by Reinforcement Learning
Categorizing Evolved CoreWar Warriors Using EM and Attribute Evaluation
Improved Comprehensibility and Reliability of Explanations via Restricted Halfspace Discretization
Agent-Based Non-distributed and Distributed Clustering
Arabic Rule-based Named Entity Recognition System Using GATE
Reducing the Dimensionality of Vector Space Embeddings of Graphs
Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform
A Novel Phonetic Algorithm for Predicting Chinese Names using Chinese Pin Yin
Multiple Consensuses Clustering by Iterative Merging/Splitting of Clustering Patterns
Unsupervised Learning of Visual Feature Hierarchies
An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity
Ten Years of Relevance Score for Content Based Image Retrieval
Constrained Regularized Regression Model Search in Large Sets of Regressors
Mining Maximal Frequent Itemsets in Data Streams Based on FP-Tree
EEG Feature Selection Based on Time Series Classification
Modeling the Organoleptic Properties of Matured Wine Distillates
Clustering Large Dynamic Datasets Using Exemplar Points
A CNN Based Transfer Learning Model for Automatic Activity Recognition from Accelerometer Sensors
On Bicluster Aggregation and its Benefits for Enumerative Solutions
On the Abstraction of a Categorical Clustering Algorithm
Detecting Relative Anomaly
The Representation of Wave Trend Direction in Stock Price Time Series via RNN
SumOpinions: Automatic Summarization of Reviews about Tourist Places
Predictions with Confidence in Applications
Neural Self-Organization Using Graphs
A Learning Framework to Improve Unsupervised Gene Network Inference
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds