yusuke1997/dblp-id-title huggingface dataset:
A synthetic over-sampling method with minority and majority classes for imbalance problems
Entity integrity management under data volume, variety and veracity
Emotions in recommender systems for discrepant-users
SFP-Rank: significant frequent pattern analysis for effective ranking
Supporting virtual enterprise systems using agent coordination
HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG
PPR-partitioning: a distributed graph partitioning algorithm based on the personalized PageRank vectors in vertex-centric systems
Structured query construction via knowledge graph embedding
Fake review detection techniques, issues, and future research directions: a literature review
Distributional constraint discovery for intelligent auditing
Knowledge management in image-based analysis of blood vessel structures
PPNW: personalized pairwise novelty loss weighting for novel recommendation
Fuzzy Conditional Probability Relations and their Applications in Fuzzy Information Systems
Transfer learning for class imbalance problems with inadequate data
Multi-perspective patient representation learning for disease prediction on electronic health records
A modified content-based evolutionary approach to identify unsolicited emails
Distributed Clustering Using Collective Principal Component Analysis
Cost Complexity-Based Pruning of Ensemble Classifiers
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model
Beyond one billion time series: indexing and mining very large time series collections with i SAX2+
Knowledge distillation for BERT unsupervised domain adaptation
Challenges for adaptation in agent societies
Diffusion pattern mining
EDU-Capsule: aspect-based sentiment analysis at clause level
Improving NCD accuracy by combining document segmentation and document distortion
Crowdsourcing for data management
Learning from evolving data streams through ensembles of random patches
A knowledge-based approach for pseudo-relevance feedback by exploiting semantic relevance
A comprehensive survey of manual and dynamic approaches for cybersecurity taxonomy generation
Community-level competitive influence payoff maximization
Aggregate keyword search on large relational databases
FedDive: escaping local minima through divergence-rewarded exploration in federated learning: a robust approach with gated divergence rewards
The examination of the effect of the criterion for neural network's learning on the effectiveness of the qualitative analysis of multidimensional data
Supervised tensor learning
A linear primal-dual multi-instance SVM for big data classifications
A Heuristic Genetic Algorithm for Solving Resource Allocation Problems
A consensus reaching process with hesitant fuzzy elements considers the individuals best and worst consensus levels
Conditional adjacency anonymity in social graphs under active attacks
The State of the Art in Agent Communication Languages
Extended symbolic approximate reasoning based on linguistic modifiers
Decision model change patterns for dynamic system evolution
Incremental mining of temporal patterns in interval-based database
GAC-GEO: a generic agglomerative clustering framework for geo-referenced datasets
Online log parsing using evolving research tree
Generalizing the notion of confidence
Local low-rank Hawkes processes for modeling temporal user-item interactions
Machine learning and deep learning models for human activity recognition in security and surveillance: a review
Pythagorean fuzzy mathematical programming method for multi-attribute group decision making with Pythagorean fuzzy truth degrees
Aspect and orientation-based sentiment analysis of customer feedback using mathematical optimization models
Micro- and macro-level churn analysis of large-scale mobile games
Finding events in temporal networks: segmentation meets densest subgraph discovery
Symbolic data analysis tools for recommendation systems
Attentive multi-task learning for group itinerary recommendation
A word embedding-based approach to cross-lingual topic modeling
MILDE: multiple instance learning by discriminative embedding
A segment-based approach to clustering multi-topic documents
Mining top-k frequent patterns without minimum support threshold
Scalable models for computing hierarchies in information networks
Generating synthetic positive and negative business process traces through abduction
Efficient federated recommender system based on Slimify Module and Feature Sharpening Module
Tracking recurring contexts using ensemble classifiers: an application to email filtering
Evaluating link prediction methods
Security-aware intermediate data placement strategy in scientific cloud workflows
SVDD-based outlier detection on uncertain data
An efficient path computing model for measuring semantic similarity using edge and density
Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM)
WCM-GCN: identifying influential spreaders using graph convolutional networks on weighted directed networks based on spreading properties
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory
RateNet: a deep neural framework for inferring ratings from textual features
MEBC: social network immunization via motif-based edge-betweenness centrality
A new neighbourhood-based diffusion algorithm for personalized recommendation
Maintaining Views in Object-Relational Databases
Exploring interest community-based and interesage-powered recommendation scenarios
Towards metrics-driven ontology engineering
Frequent pattern mining in attributed trees: algorithms and applications
A non-parametric semi-supervised discretization method
An entropy-based clustering ensemble method to support resource allocation in business process management
Knowledge-Based System Explanation: The Ripple-Down Rules Alternative
Incorporating Background Knowledge for Better Prediction of Cycle Phases
A survey of queries over uncertain data
Autonomous graph mining algorithm search with best performance trade-off
Improving the efficiency of traditional DTW accelerators
Time prediction on multi-perspective declarative business processes
Tracking clusters in evolving data streams over sliding windows
Integration of artificial intelligence with information security: a systematic literature review
Short text similarity based on probabilistic topics
The Unified Problem-Solving Method Development Language UPML
Discovering dependencies with reliable mutual information
Composition pattern oriented tag extraction from short documents using a structural learning method
Securing healthcare data in mobile edge computing: a hybrid deep learning framework for privacy and anomaly detection
Efficient planning for top-K Web service composition
A hybrid clustering approach for link prediction in heterogeneous information networks
Email mining: tasks, common techniques, and tools
Graph clustering-based discretization approach to microarray data
Application of rough set classifiers for determining hemodialysis adequacy in ESRD patients
Reference Ontology and (ONTO) 2 Agent: The Ontology Yellow Pages
Compressed and queryable self-indexes for RDF archives
Attributed community search considering community focusing and latent relationship
Estimation of incomplete values in heterogeneous attribute large datasets using discretized Bayesian max-min ant colony optimization
Knowledge-aware user multi-interest modeling method for news recommendation
An ontology-based procedure for generating object model from text description
Analyzing topics and authors in chat logs for crime investigation
Latent mutual feature extraction for cross-domain recommendation
Finding peculiar compositions of two frequent strings with background texts
BicFinder: a biclustering algorithm for microarray data analysis
Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs
An Intelligent Decision Support System for Investment Analysis
Owner name entity recognition in websites based on heterogeneous and dynamic graph transformer
Crowd labeling latent Dirichlet allocation
Dynamic sampling of text streams and its application in text analysis
Who dominates generative AI? Analyzing user feedback to identify common use cases and areas for improvement in ChatGPT, Copilot and Gemini
Defining quality in peer review reports: a scoping review
A survey on ensemble classification methods from the dual perspectives of sampling and learning
Ontology alignment design patterns
Discovery of "comet" communities in temporal and labeled graphs Com ^2
POI recommendation through cross-region collaborative filtering
A distributed EM algorithm to estimate the parameters of a finite mixture of components
Synergy of two mutations based immune multi-objective automatic fuzzy clustering algorithm
Ad hoc retrieval via entity linking and semantic similarity
Sequential data classification by dynamic state warping
An efficient graph-mining method for complicated and noisy data with real-world applications
The impact of social media on the cryptocurrency markets during the COVID-19 pandemic and the Russia-Ukraine conflict
Robust time-series retrieval using probabilistic adaptive segmental alignment
Using Markov chain Monte Carlo and dynamic programming for event sequence data
Knowledge-empowered automated negotiation system for e-Commerce
Multilayer Louvain: a modularity-based community detection algorithm for multilayer networks
Classifier-based acronym extraction for business documents
Trustworthy federated learning: privacy, security, and beyond
Graph mining for discovering infrastructure patterns in configuration management databases
Efficient processing of optimal meeting point queries in Euclidean space and road networks
Geometric consistency of triangular fuzzy multiplicative preference relation and its application to group decision making
Dynamic time-aware collaborative sequential recommendation with attention-based network
A formal characterization of the outcomes of rule-based argumentation systems
Introducing time series chains: a new primitive for time series data mining
Active instance matching with pairwise constraints and its application to Chinese knowledge base construction
Learn to unlearn: meta-learning-based knowledge graph embedding unlearning
Estimating global opinions by keeping users from fraud in online review systems
DIDES: a fast and effective sampling for clustering algorithm
Efficiently processing deterministic approximate aggregation query on massive data
Application-independent feature construction based on almost-closedness properties
Encoding and decoding the knowledge of association rules over SVM classification trees
Closed form word embedding alignment
Parallel and Sequential Algorithms for Data Mining Using Inductive Logic
Higher order feature selection for text classification
Recurrent-optimized user association representation for multi-target cross-domain sequential recommendation
Unifying community detection and network embedding in attributed networks
Enhancing the performance of deep learning models with fuzzy c-means clustering
Fisher-regularized supervised and semi-supervised extreme learning machine
A relational model for XML structural joins and their size estimations
Alternative strategies for Performing Spatial Joins on Web Sources
Exploring the potential of deep regression model for next-location prediction
Mining frequent generators and closures in data streams with FGC-Stream
Mining evolutions of complex spatial objects using a single-attributed Directed Acyclic Graph
Feature disentanglement, selection, and reaggregation method for multi-task learning
Scalable force-directed graph representation learning and visualization
Multiknowledge for decision making
AdaCC: cumulative cost-sensitive boosting for imbalanced classification
Recommending packages with validity constraints to groups of users
Necessary and Sufficient Pre-processing in Numerical Range Discretization
Towards Automated Case Knowledge Discovery in the M 2 Case-Based Reasoning System
Property graph representation learning for node classification
Self-labeling techniques for semi-supervised time series classification: an empirical study
ChatGPT struggles to recognize reproducible science
Reliable yet flexible software through formal model transformation (rule definition)
AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images
Clustering Web services to facilitate service discovery
Scalable approximations to k-cycle transversal problems on dynamic networks
Online anomaly search in time series: significant online discords
Context-aware query expansion method using Language Models and Latent Semantic Analyses
On the adaptability of G3PARM to the extraction of rare association rules
Mining interesting imperfectly sporadic rules
MMUIL: enhancing multi-platform user identity linkage with multi-information
Optimized intrusion detection and secure data management in IoT networks using GAO-Xgboost and ECC-integrated blockchain framework
LINDAS: a learned approach to index algorithm selection
An effective feature selection and classification technique for palmprint biometric identification systems
Analysis for Online Product Recommendation with recalling enhanced recurrent neural network-based sentiment
The BigGrams: the semi-supervised information extraction system from HTML: an improvement in the wrapper induction
A domain adaptation method by incorporating belief function in twin quarter-sphere SVM
Node classification across networks via category-level domain adaptive network embedding
Sharp characterization of optimal minibatch size for stochastic finite sum convex optimization
Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems
A differentially private algorithm for location data release
Supervised feature selection using principal component analysis
Measuring time-sensitive user influence in Twitter
Selectivity estimation with density-model-based multidimensional histogram
Two privacy-preserving approaches for data publishing with identity reservation
GUISE: a uniform sampler for constructing frequency histogram of graphlets
Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings
Correction: Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review
A prediction model of student performance based on self-attention mechanism
PGT: news recommendation coalescing personal and global temporal preferences
Mapping sentences to concept transferred space for semantic textual similarity
Probabilistic joint models incorporating logic and learning via structured variational approximation for information extraction
Enhancing link prediction through node embedding and ensemble learning
A graph-based approach for extracting terminological properties from information sources with heterogeneous formats
Community-aware graph embedding via multi-level attribute integration
Review selection based on content quality
Effective and lightweight lossy compression of tensors: techniques and applications
Automated database design for document stores with multicriteria optimization
A general framework for scalable transductive transfer learning
Iterative missing value imputation based on feature importance
Node and edge dual-masked self-supervised graph representation
A hybrid multi-group approach for privacy-preserving data mining
Growth patterns and models of real-world hypergraphs
An online ensemble classification algorithm for multi-class imbalanced data stream
VCGAE++: variational collective graph autoEncoder for multi-behavior recommendation
Mining Top-K constrained cross-level high-utility itemsets over data streams
Online influence maximization under continuous independent cascade model with node-edge-level feedback
A deep reinforcement learning agent for geometry online tutoring
Deep ensembled multi-criteria recommendation system for enhancing and personalizing the user experience on e-commerce platforms
Special issue on behavior computing
Differentially private counting of users' spatial regions
CAERS-CF: enhancing convolutional autoencoder recommendations through collaborative filtering
Special issue on big data research in China
A template-based approach for question answering over knowledge bases
Asymmetric information distances for automated taxonomy construction
Efficient discovery of contrast subspaces for object explanation and characterization
A general framework for relation graph clustering
Multi-step density-based clustering
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization
A hybrid ontology-based feature selection framework for enhancing predictive accuracy in regression models
A survey on indexing techniques for big data: taxonomy and performance evaluation
Parallel construction of wavelet trees on multicore architectures
Graph neural architecture prediction
Distributed Mining of Classification Rules
Bypassing combinatorial explosions in equivalence structure extraction
Efficient query filtering for streaming time series with applications to semisupervised learning of time series classifiers
Norm negotiation in online multi-player games
Sequential pattern mining in databases with temporal uncertainty
Conscience online learning: an efficient approach for robust kernel-based clustering
Transferring trading strategy knowledge to deep learning models
Optimal feature tuning model by variants of convolutional neural network with LSTM for driver distract detection in IoT platform
Prediction of places of visit using tweets
A study of the model and algorithms for handling location-dependent continuous queries
Content-Based Retrieval of Video Data with Flexibly Managed Attributes
Sentiment lexicons and non-English languages: a survey
RDF-Gen: generating RDF triples from big data sources
Multi-type clustering in heterogeneous information networks
Automatic single table storage structure selection for hybrid workload
Robust personalizable spam filtering via local and global discrimination modeling
Emergence of Cooperative Internet Server Sharing Among Internet Search Agents Caught in the <i>n</i>-Person Prisoner's Dilemma Game
A novel algorithm for mining closed temporal patterns from interval-based data
A survey and taxonomy of performance improvement of canonical genetic programming
Efficient entity resolution based on subgraph cohesion
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach
Discriminative boundary generation for effective outlier detection
Improving SVM classification on imbalanced time series data sets with ghost points
A smart intelligent approach based on hybrid group search and pelican optimization algorithm for data stream clustering
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation
A hybrid approach for content extraction with text density and visual importance of DOM nodes
An automatic human chromosome metaspread image selection technique
Preferences-based learning of multinomial logit model
Approximating behavioral equivalence for scaling solutions of I-DIDs
Common understanding in a multi-agent system using ontology-guided learning
Mining border descriptions of emerging patterns from dataset pairs
Categorizing relational facts from the web with fuzzy rough sets
Telling cause from effect by local and global regression
Spatial co-location pattern discovery without thresholds
Demand-driven frequent itemset mining using pattern structures
Mining frequent arrangements of temporal intervals
Methods for concept analysis and multi-relational data mining: a systematic literature review
Are the statistical tests the best way to deal with the biomarker selection problem?
Tlsam: multi-scale long-short trend fusion model for long-term multi-variable time series prediction
Privacy-preserving topic model for tagging recommender systems
Joint entropy minimization-based statistical dependency for deep multi-view clustering
Improving class probability estimates for imbalanced data
A novel hybrid DCNN-SVM method for 3D object classification
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19
Dropout non-negative matrix factorization
Modeling and solving the distributed flexible job shop scheduling problem with transportation time
Aspect-based sentiment analysis: approaches, applications, challenges and trends
Collective entity linking: a random walk-based perspective
Prequential AUC: properties of the area under the ROC curve for data streams with concept drift
A local expansion propagation algorithm for social link identification
A user parameter-free approach for mining robust sequential classification rules
Metro passengers counting and density estimation via dilated-transposed fully convolutional neural network
A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances
Manipulation of qualitative degrees to handle uncertainty: formal models and applications
Twain-GCN: twain-syntax graph convolutional networks for aspect-based sentiment analysis
Non-negative Tri-factor tensor decomposition with applications
Combining supervised term-weighting metrics for SVM text classification with extended term representation
Secret sharing scheme based on binary trees and Boolean operation
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach
Delving deep: DDoS attack resilience through deep learning approaches
Multiple criteria optimization-based data mining methods and applications: a systematic survey
MoRGH: movie recommender system using GNNs on heterogeneous graphs
Multi-agent system application for music features extraction, meta-classification and context analysis
A new approach for training Lagrangian support vector regression
Ranking the big sky: efficient top-k skyline computation on massive data
MFS-SubSC: an efficient algorithm for mining frequent sequences with sub-sequence constraint
Composite kernels for semi-supervised clustering
A fuzzy-AHP-based approach to select software architecture based on quality attributes (FASSA)
Visualizations for universal deep-feature representations: survey and taxonomy
Personalized similarity regression models based on maximum correntropy criterion for stock series prediction
A data- and ontology-driven text mining-based construction of reliability model to analyze and predict component failures
Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt
Enhancing large language models: alleviating knowledge deficiency with external knowledge and semantically aware reasoning (SAR)
A systematic review of advancements in context-aware recommendation systems
An improved item-based collaborative filtering using a modified Bhattacharyya coefficient and user-user similarity as weight
TDEP: efficiently processing top- k dominating query on massive data
Regression with small data sets: a case study using code surrogates in additive manufacturing
CRAS: cross-domain recommendation via aspect-level sentiment extraction
Efficient algorithms for influence maximization in social networks
Peer-to-peer information retrieval using shared-content clustering
Integration of artificial immune network and K-means for cluster analysis
Multiplicative distance: a method to alleviate distance instability for high-dimensional data
Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization
From global to local and viceversa: uses of associative rule learning for classification in imprecise environments
Markov logic networks for adverse drug event extraction from text
Understanding stance classification of BERT models: an attention-based framework
Efficient federated learning with timely update dissemination