yusuke1997/dblp-id-title huggingface dataset:
Discovering generalized association rules from Twitter
Shifted split-merge segmentation and fuzzy-guided generative adversarial network underwater object detection
Efficient heuristics for learning Bayesian network from labeled and unlabeled data
Robust multi-class feature selection via l2, 0-norm regularization minimization
ARCADE: A Prediction Method for Nominal Variables
Sparse non-negative matrix factorization for uncertain data clustering
cd-MBRec: Enhancing multi-behavior recommendation by explicitly modeling commonality and diversity
Collaborative filtering recommendation system based on trust-aware and domain experts
Churn prediction via support vector classification: An empirical comparison
An improved OPTICS clustering algorithm for discovering clusters with uneven densities
TSPS: A Topic based Shortest Path Set algorithm for influence maximization
Parameter Estimation in Bayesian Networks from Incomplete Databases
Evolving networks: Eras and turning points
Identifying violin performers by their expressive trends
Mining periodic patterns in spatio-temporal sequences at different time granularities
The multiple imputation quantitative noise corrector
A multi-core computing approach for large-scale multi-label classification
Stock price prediction through sentiment analysis of corporate disclosures using distributed representation
Multi-objective association rule mining with binary bat algorithm
Exploiting the implicit independence assumption for learning directed graphical models
Maintenance of generalized association rules with multiple minimum supports
Energy modeling of Hoeffding tree ensembles
Multivariate dynamic time warping in automotive applications: A review
ITeM: Independent temporal motifs to summarize and compare temporal networks
Instantiated First Order Qualitative Choice Logic for an efficient handling of alerts correlation
Machine learning and deep learning methods in brain tumor classification: A decade: Systematic literature review
A cross-lingual sentiment topic model evolution over time
Anomaly repair-based approach to improve time series forecasting
Obtaining accurate and comprehensible classifiers using oracle coaching
A new class of attacks on time series data mining\m{1}
A lazy feature selection method for multi-label classification
Generate custom travel magazine layouts
Effective social content-based collaborative filtering for music recommendation
Effect of merging order on performance of fuzzy induction
Multimodal fake news detection model using improved heuristic approach with optimal weighted integration and dilated adaptive deep learning
Hybrid data stream clustering by controlling decision error
Deep hierarchical spectral-spatial feature fusion for hyperspectral image classification based on convolutional neural network
Building knowledge graphs from technical documents using named entity recognition and edge weight updating neural network with triplet loss for entity normalization
Temporal link prediction in directed networks based on self-attention mechanism
Instance reduction for time series classification using MDL principle
Data set preprocessing and transformation in a database system
Robust classification of imbalanced data using one-class and two-class SVM-based multiclassifiers
Counting by Statistics on Search Trees: Application to Constraint Satisfaction Problems
A novel concept drift detection method in data streams using ensemble classifiers
A novel fuzzy linear discriminant analysis for face recognition
Feature ranking fusion for text classifier
Statistical supports for mining sequential patterns and improving the incremental update process on data streams
Integrating rough set theory and fuzzy neural network to discover fuzzy rules
Clustering based on adaptive local density with evidential assigning strategy
An on-demand service aggregation and service recommendation method based on RGPS
VLinear: Enhanced linear complexity time series forecasting model
A lightweight method of pose estimation for indoor object
Iterative cross-training: An algorithm for web page categorization
Mining multiplex interaction relationships from usage records in social networks
An efficient intrusion detection method using federated transfer learning and support vector machine with privacy-preserving
A framework for detecting deviations in complex event logs
An attention-gated convolutional neural network for sentence classification
Algorithms for clustering high dimensional and distributed data
Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers
An efficient algorithm for hiding sensitive-high utility itemsets
Approximate mining of frequent patterns on streams
NPClu: An approach for clustering spatially extended objects
Evaluating a clustering solution: An application in the tourism market
Identification of informational and probabilistic independence by adaptive thresholding
On the relationships between user profiles and navigation sessions in virtual communities: A data-mining approach
Probabilistic clustering of interval data
Reducing redundancy in characteristic rule discovery by using integer programming techniques
Image texture classification using wavelet packet transform and probabilistic neural network
Guidelines for enhancing data locality in selected machine learning algorithms
EigenEvent: An algorithm for event detection from complex data streams in syndromic surveillance
Detecting and identifying ambiguities in regression problems: An approach using a modified mountain method
An algebra for OLAP
Tensor clustering via adaptive subspace iteration
Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data
Knowledge graph embedding in a uniform space
Boosting meta-learning with simulated data complexity measures
Balanced training/test set sampling for proper evaluation of classification models
Monotonicity of Entropy Computations in Belief Functions
Smooth support vector learning for fuzzy rule-based classification systems
Context-aware adaptive data stream mining
Closed world specialisation inside the induction process
Personalized news recommendation using graph-based approach
Empirical study of symbolic aggregate approximation for time series classification
A new clustering approach using similarity of patterns texture
Aggregating knowledge and collaborative information for sequential recommendation
A discretization method for rough sets theory
A piecewise regression analysis with automatic change-point detection
A review of intelligent data analysis: Machine learning approaches for addressing class imbalance in healthcare - challenges and perspectives
ComIM: A community-based algorithm for influence maximization under the weighted cascade model on social networks
Sharpened graph ensemble for semi-supervised learning
Compact classification of optimized Boolean reasoning with Particle Swarm Optimization
Efficient and interpretable fuzzy classifiers from data with support vector learning
Could spatial features help the matching of textual data?
Large scale mining of molecular fragments with wildcards
Topic mining of tourist attractions based on a seasonal context aware LDA model
Active learning and subspace clustering for anomaly detection
Diagnosis of liver disease by computer- assisted imaging techniques: A literature review
TSDNet: A two-stage decomposition-based hybrid deep neural network for long-term time series forecasting
A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction
Storyline extraction from news articles with dynamic dependency
Region-based association measures for ranking mined news relations
Linear tree
Extended clustering algorithm based on cluster shape boundary
Social media user geolocation based on geographically compact subgraphs
Livernet based segmentation of lesions from computed tomography scan for liver tumor detection
Measure based metrics for aggregated data
Component-based decision trees for classification
Leukemia identification from bone marrow cells images using a machine vision and data mining strategy
Knowledge Discovery Via Multiple Models
ORBoost: An Orthogonal AdaBoost
A comparative assessment of data standardization on support vector machine for classification problems
Measuring the interestingness of discovered knowledge: A principled approach
The application of non-parametric techniques to solve classification problems in complex data sets in veterinary epidemiology - An example
The class imbalance problem: A systematic study
A new generic basis of "factual" and "implicative" association rules
Leveraging spark-based machine learning algorithm for audience sentiment analysis in youtube content
Employing Kullback-Leibler divergence and Latent Dirichlet Allocation for fraud detection in telecommunications
Intelligent document classification
Mining a large database with a parallel database server
Solving inverse problems using Particle Swarm Optimization: An application to aircraft fuel measurement considering sensor failure
Welcome to Volume 3(2) of Intelligent Data Analysis
Efficiently mining high utility sequential patterns in static and streaming data
HELD: Hierarchical entity-label disambiguation in named entity recognition task using deep learning
Mammogram content-based image retrieval based on malignancy classification
Performance analysis of deep transfer learning approaches in detecting and classifying brain tumor from magnetic resonance images
Mining scientific literature to predict new relationships
Measuring the accuracy and interest of association rules: A new framework
Two stages data mining analytics for food intentional and behavioral recommendations
Emotional privacy-preserving of speech based on generative adversarial networks
Dimensionality optimization by heuristic greedy learning vs. genetic algorithms in knowledge discovery and data mining
Improving the accuracy of multiclass classification in machine learning: A case study in a cell signaling dataset
Improving multi-view semi-supervised learning with agreement-based sampling
Mining Classification Rules in Multistrategy Learning Approach
Density-based graph model summarization: Attaining better performance and efficiency
EuDiC SVM: A novel support vector machine classification algorithm
Mining consequence events in temporal health data
Drug-target interaction data cluster analysis based on improving the density peaks clustering algorithm
Prediction of solar conditions by emotional learning
Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set
Towards semi-automatic human performance evaluation: The case study of a contact center
Feature clustering dimensionality reduction based on affinity propagation
Multi-label classification of documents using fine-grained weights and modified co-training
A robust anomaly detection algorithm based on principal component analysis
Indexing time series using signatures
Using artificial intelligence planning to automate science image data analysis
Feature selection based on inference correlation
Improving multi-view facial expression recognition through two novel texture-based feature representations
Impact of noise on credit risk prediction: Does data quality really matter?
Topology and intelligent data analysis
A comparative study of novel robust clustering algorithms
Email answering assistance by semi-supervised text classification
Decision Combination Based on the Characterisation of Predictive Accuracy
A framework for generating condensed co-location sets from spatial databases
A procedure for the detection of anomalous input-output patterns
A new approach for the generation of fuzzy summaries based on fuzzy multidimensional databases
Towards combating rumors in social networks: Models and metrics
A novel information fusion method based on Dempster-Shafer evidence theory for conflict resolution
Two-dimensional dynamic time warping algorithm for matrices similarity
EEG-based tonic cold pain assessment using extreme learning machine
Privacy preserving defect prediction using generalization and entropy-based data reduction
A novel data reduction method based on information theory and the Eclectic Genetic Algorithm
An eye detection method based on convolutional neural networks and support vector machines
Data management scheme for building internet of things based on blockchain sharding
Efficient updating of sequential patterns with transaction insertion
Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines
In search of deterministic methods for initializing K-means and Gaussian mixture clustering
Genetic programming as strategy for learning image descriptor operators
Graph dependency construction based on interval-event dependencies detection in data streams
Enhancing link prediction efficiency with shortest path and structural attributes
Round robin ensembles
Collusive anomalies detection based on collaborative markov random field
Setting attribute weights for k-NN based binary classification via quadratic programming
Probabilistic maximal frequent itemset mining methods over uncertain databases
Unsupervised hierarchical probabilistic segmentation of discrete events
Optimization of SMOTE for imbalanced data based on AdaRBFNN and hybrid metaheuristics
Predicting the number of nearest neighbors for the k-NN classification algorithm
Induction of decision trees in numeric domains using set-valued attributes
VyAnG-Net: A novel multi-modal sarcasm recognition model by uncovering visual, acoustic and glossary features
Implied volatility parameterization based on a machine learning polynomial approach
Prototype/topic based clustering method for weblogs
Detecting groups of anomalously similar objects in large data sets
An extension to association rules using a similarity-based approach in semantic vector spaces
Spatio-temporal patterns assisted deep learning model for PM 2.5 prediction (STEEP)
Web site keywords: A methodology for improving gradually the web site text content
Towards robust log parsing using self-supervised learning for system security analysis
Mapping atmospheric pollutants emissions in European countries
A review on network representation learning with multi-granularity perspective
On the dangers of default implementations: The case of radial basis function networks
Multiphase vs. single-phase variational level set approach for video data association
A linear wrapper for sample subset selection in atypical detection
Mutual information evaluation: A way to predict the performance of feature weighting on clustering
Learning bayesian multinets from labeled and unlabeled data for knowledge representation
On the window size for classification in changing environments
An efficient incremental mining algorithm-QSD
Ultrasound breast images denoising using generative adversarial networks (GANs)
Ordination-based verification of feature selection in pattern evolution research
Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data
Automatically evolving rule induction algorithms tailored to the prediction of postsynaptic activity in proteins
Topic factor models: Uncovering thematic structure in equity market data
Incremental learning and concept drift: Editor's introduction
Mining association rules using clustering
Understanding time use via data mining: A clustering-based framework
HAGCN: A relation extraction model based on heterogeneous graph convolutional neural network and graph attention
Exploration strategies in n-Person general-sum multiagent reinforcement learning with sequential action selection
A resistance outlier sampling algorithm for imbalanced data prediction
Bayesian recommender system for social information sharing: Incorporating tag-based personalized interest and social relationships
An application of a practical neural network model for solving support vector regression problems
GIAMS: A generic approach for mining indirect association rules in data streams 1
Neighborhood relevant outlier detection approach based on information entropy
Iterative Bayes
A fast method for discovering suitable number of clusters for fuzzy clustering
A noise-resilient online learning algorithm with ramp loss for ordinal regression
Interpolative self-training approach for link prediction
A crowdsourcing approach for personalization in human activities recognition
A dual-ways feature fusion mechanism enhancing active learning based on TextCNN
Pruning extensions to stacking
A fast method for frequent pattern discovery with secondary memory
Mining sequential patterns with extensible knowledge representation
Learning binary codes for fast image retrieval with sparse discriminant analysis and deep autoencoders
Incorporating emoji sentiment information into a pre-trained language model for Chinese and English sentiment analysis
Voting experts: An unsupervised algorithm for segmenting sequences
ROC analysis of classifiers in machine learning: A survey
Unsupervised multi-source domain adaptation for person re-identification via sample weighting
A multi-domain adaptive neural machine translation method based on domain data balancer
Relation-based aggregation: finding objects in large spatial datasets
Models for association rules based on clustering and correlation
RBSP-Boosting: A Shapley value-based resampling approach for imbalanced data classification
Incorporating frequency, recency and profit in sequential pattern based recommender systems
Autonomous self-evolving forecasting models for price movement in high frequency trading: Evidence from Taiwan
An intelligent data pre-processing of complex datasets
WWW traffic measure and its properties
Image concept detection in imbalanced datasets with ensemble of convolutional neural networks
Mining frequent closed trees in evolving data streams
Fast and space-efficient shapelets-based time-series classification
A probabilistic methodology for multilabel classification
Multidimensional indexing technique for medical images retrieval
Bayesian optimization of support vector machine for regression prediction of short-term traffic flow
A new algorithm for mining frequent connected subgraphs based on adjacency matrices
Multi-dimensional data construction method with its application to learning from small-sample-sets
Multimodal emotion recognition with hierarchical memory networks
A prototype selection technique based on relative density and density peaks clustering for k nearest neighbor classification
Session-based recommendation with quaternion-enhanced attention calculation
Facing the full model selection problem in high volume datasets employing intelligent proxy models
Bias reduction through conditional conformal prediction
Extraction of Experts' Decision Rules from Clinical Databases Using Rough Set Model
Clustering multi-typed objects in extended star-structured heterogeneous data
Contiguous item sequential pattern mining using UpDown Tree
Fault diagnosis method based on supervised particle swarm optimization classification algorithm
Dynamic mutual information-based feature selection for multi-label learning
Feature selection using forest optimization algorithm based on contribution degree
An active learning ensemble method for regression tasks
Dependency-based feature selection for clustering symbolic data
Knowledge acquisition from batch semiconductor manufacturing data
I 2 R: Intra and inter-modal representation learning for code search
Comparative study on credit card fraud detection based on different support vector machines
Decomposition of a fuzzy controller based on the inference break-up method
On clustering large number of data streams
Content-aware data distribution over cluster nodes
Discovering context specific causal relationships
Active ordinal classification by querying relative information
Incremental SVM-based classification in dynamic streaming networks
Prototype selection based on sequential search
Layered dynamic probabilistic networks for spatio-temporal modelling
An attention network based on feature sequences for cross-domain sentiment classification
A novel dual-granularity lightweight transformer for vision tasks
Association rule hiding based on evolutionary multi-objective optimization
Comprehensive concept description based on association rules: A meta-learning approach
A New Singly Connected Network Classifier based on Mutual Information
A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classification
Incrementally updating the discovered sequential patterns based on pre-large concept
Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems
Biogc: A novel framework for biological network classification via machine learning
Independent component analysis algorithms for microarray data analysis
Generalization of Rough sets and its applications in information system
Secured finance handling for supply chain integrated business intelligence using blockchain application scenarios
Modeling the combined influence of complexity and quality in supervised learning
FairAW - Additive weighting without discrimination
A novel density-based ensemble learning algorithm with application to protein structural classification
Data-based revision of probability distributions in qualitative multi-attribute decision models
A dynamic clustering algorithm for building overlapping clusters
WAGRank: A word ranking model based on word attention graph for keyphrase extraction
A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization
Multi-head attention based candidate segment selection in QA over hybrid data
Discovery of distinctive patterns in music
Reducing decision tree fragmentation through attribute value grouping: A comparative study
Frequent positive and negative (FPN) itemset approach for outlier detection
Community detection in dynamic networks using constraint non-negative matrix factorization
Piecewise nonlinear model for financial time series forecasting with artificial neural networks
Semi-supervised contrastive learning with decomposition-based data augmentation for time series classification
Mining spatio-temporal chaining patterns in non-identity event databases
Sentiment analysis via dually-born-again network and sample selection
Discovery of temporal neighborhoods through discretization methods
A GPS location data clustering approach based on a niche genetic algorithm and hybrid K-means
An efficient and robust bat algorithm with fusion of opposition-based learning and whale optimization algorithm
Regression Using Classification Algorithms
Consensus clustering
Multiple correspondence analysis for "tall" data sets
Inferring student social link from spatiotemporal behavior data via entropy-based analyzing model
A bitemporal RDF index based on skip list
Dielectric composite multimodal optimization using a multipopulation cultural algorithm
Feature bundling in decision tree algorithm
Quadratic hyper-surface kernel-free least squares support vector regression
Adjusted estimation for the combination of classifiers
Dynamic sparsity control in Deep Belief Networks
Tree based Ensemble for Enhanced Prediction (TEEP) of epileptic seizures
Optimization of solar and wind power plants production through a parallel fusion approach with modified hybrid machine and deep learning models
Improving pattern classification of DNA microarray data by using PCA and logistic regression
Oversampling method based on GAN for tabular binary classification problems
Instance-based data reduction for improved identification of difficult small classes
A Responsible AI approach for designing resilient classifier to handle incomplete data
A privacy preserving clustering technique for horizontally and vertically distributed datasets
Generate qualified adversarial attacks and foster enhanced models based on generative adversarial networks
Learning from ambiguously labeled examples
Online course evaluation model based on graph auto-encoder
Maintenance of informative ruler sets for predictions
Classification of symbolic objects: A lazy learning approach
Entity resolution in disjoint graphs: An application on genealogical data