yusuke1997/dblp-id-title huggingface dataset:
Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches
Linear separability in spatial databases
Improved affinity propagation clustering algorithms: a PSO-based approach
CustRE: a rule based system for family relations extraction from english text
Random indexing of multidimensional data
Deconfounding representation learning for mitigating latent confounding effects in recommendation
Explaining deep multi-class time series classifiers
Improving keyword based web image search with visual feature distribution and term expansion
Knowledge-based discovery of multi-level co-location patterns using ontology
Active inference for dynamic Bayesian networks with an application to tissue engineering
Human activity recognition using fuzzy proximal support vector machine for multicategory classification
Two collaborative filtering recommender systems based on sparse dictionary coding
Generalising combinatorial discriminant analysis through conditioning truncated Rayleigh flow
SVM based adaptive learning method for text classification from positive and unlabeled documents
Learning robust discriminant features via correntropy-induced functions: from supervised to unsupervised learning
Knowledge enhancement and scene understanding for knowledge-based visual question answering
Distributed Web Log Mining Using Maximal Large Itemsets
Variational data generative model for intrusion detection
StatApriori: an efficient algorithm for searching statistically significant association rules
Parallel matrix factorization for recommender systems
Models of distributed data clustering in peer-to-peer environments
Bayesian network classifiers using ensembles and smoothing
Correction: A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems
Iterative column subset selection
Decision trees for uplift modeling with single and multiple treatments
Dealing with heterogeneity in the context of distributed feature selection for classification
On formalizing social commitments in dialogue and argumentation models using temporal defeasible logic
Cybertron: task-adaptive intent attention graph neural networks for few-shot recommendation
Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets
Discovery of evolving companion from trajectory data streams
AMORE: design and implementation of a commercial-strength parallel hybrid movie recommendation engine
Managing Multiuser Database Buffers Using Data Mining Techniques
Pseudo support vector domain description to train large-size and continuously growing datasets
Bidirectional network-based relational triple extraction with prior relation mechanism
Efficient stable community search in temporal signed graphs
Event stream-based process discovery using abstract representations
Cloud resource allocation schemes: review, taxonomy, and opportunities
A storytree-based model for inter-document causal relation extraction from news articles
Recommending items in pervasive scenarios: models and experimental analysis
Cross-lingual document similarity estimation and dictionary generation with comparable corpora
Multimodal aspect-based sentiment analysis based on a dual syntactic graph network and joint contrastive learning
An adjustable fuzzy classification algorithm using an improved multi-objective genetic strategy based on decomposition for imbalance dataset
A review of meta-heuristic high utility patterns mining methods
Selective AnDE for large data learning: a low-bias memory constrained approach
Asymmetric kernel-based robust classification by ADMM
CoRBS: a dynamic storytelling algorithm using a novel contextualization approach for documents utilizing BERT features
A survey of continuous subgraph matching for dynamic graphs
A conceptual schema-based temporal meta database schemas generation technique for 3D objects
Fairmod: making predictions fair in multiple protected attributes
Survey on legal information extraction: current status and open challenges
Mutual clustering on comparative texts via heterogeneous information networks
Detection of abnormal transaction using spatial ontology-based deep learning approach
Autonomic workload performance tuning in large-scale data repositories
Detecting emerging and evolving novelties with locally adaptive density ratio estimation
Drug-CoV: a drug-origin knowledge graph discovering drug repurposing targeting COVID-19
Constrained-meta-path-based ranking in heterogeneous information network
Core techniques of question answering systems over knowledge bases: a survey
Deep learning-empowered intrusion detection framework for the Internet of Medical Things environment
QUERY2TREE: a reasoning model for answering logical queries based on knowledge graph embedding and large language model
A scalable algorithm for mining maximal frequent sequences using a sample
Characterizing and Mining the Citation Graph of the Computer Science Literature
GIL-DDI: multi-view graph invariant learning for unknown drug-drug interaction prediction
Privacy preservation for data cubes
Decoupled graph neural architecture search with explainable variable propagation operation
Expertise-based peer selection in Peer-to-Peer networks
Properties of information sets and information processing with an application to face recognition
Mining partial periodic correlations in time series
From location to location pattern privacy in location-based services
Learning diffusion model-free and efficient influence function for influence maximization from information cascades
A lossless graph summarization method for hierarchical and overlapping relational patterns mining
REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers' emotion detection
Trust in networks of ontologies and alignments
A dual-phase strategy for clustering: integrating genetic algorithms with tabu search
Exploring the collective human behavior in cascading systems: a comprehensive framework
Similarity reasoning in formal concept analysis: from one- to many-valued contexts
Attention-based semi-supervised active learning for multi-class tweet classification
Architecturing large integrated complex information systems: an application to healthcare
Atom search optimization: a systematic review of current variants and applications
A novel image denoising algorithm combining attention mechanism and residual UNet network
Compressed double-array tries for string dictionaries supporting fast lookup
A robust one-class transfer learning method with uncertain data
SNOWL model: social networks unification-based semantic data integration
Improved algorithms for extrinsic author verification
Adaptive curvature exploration geometric graph neural network
Beyond topical similarity: a structural similarity measure for retrieving highly similar documents
Explainable prediction for business process activity with transformer neural networks
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information
Remodeling the network for microgroup detection on microblog
Using proximity and tag weights for focused retrieval in structured documents
Deep collaborative filtering recommender systems in smart cities: a systematic review
On the calculation of the strength of threats
Automatic clustering using an improved artificial bee colony optimization for customer segmentation
Information extraction pipelines for knowledge graphs
Neural Network Learning Using Entropy Cycle
The correctness problem: evaluating the ordering of binary features in rankings
Efficient computation of deletion-robust k-coverage queries
A safe region based approach to moving KNN queries in obstructed space
Efficient and scalable labeled subgraph matching using SGMatch
AGraP: an algorithm for mining frequent patterns in a single graph using inexact matching
Tracking dynamic community evolution based on Social Relevance and Strong Events
Unsupervised outlier detection for time series by entropy and dynamic time warping
SecPPAccess: secured privacy protection access control on big data in cloud computing paradigm
Stream mining: a novel architecture for ensemble-based classification
Normalizing flows for conditional independence testing
Secure support vector machines outsourcing with random linear transformation
Auditing black-box models for indirect influence
Feature-blind fairness in collaborative filtering recommender systems
User view dynamic graph-driven sequential recommendation
KRL_Match: knowledge graph objects matching for knowledge representation learning
Algorithms for mining the evolution of conserved relational states in dynamic networks
Named entity disambiguation in short texts over knowledge graphs
Related families-based methods for updating reducts under dynamic object sets
Multiple-camera people localization in an indoor environment
Iterative feature exclusion ranking for deep tabular learning
Random pairwise shapelets forest: an effective classifier for time series
Structure-aware attributed heterogeneous network embedding
Patterns and anomalies in k-cores of real-world graphs with applications
Learning credible DNNs via incorporating prior knowledge and model local explanation
GMMDA: Gaussian mixture modeling of graph in latent space for graph data augmentation
Pronouncibility index (Π): a distance-based and confusion-based speech quality measure for dysarthric speakers
Light spectral-based graph convolutional networks: optimizing ranking and longtail awareness for e-commerce recommendation systems
Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments
Context-based information analysis for the Web environment
Fast and effective clustering of XML data using structural information
Two approaches for clustering algorithms with relational-based data
Concept Hierarchy-Based Text Database Categorization
A new fuzzy time series forecasting model based on clustering technique and normal fuzzy function
An efficient algorithm for mining top-k on-shelf high utility itemsets
Query intent inference via search engine log
Numerical dependency analysis (NDA): a new method for estimating the statistical dependence (not correlation) of two variables
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
Detecting software design defects using relational association rule mining
Predicting high-risk students using Internet access logs
A new concise representation of frequent itemsets using generators and a positive border
Threshold conditions for arbitrary cascade models on arbitrary networks
Semi-supervised classification based on subspace sparse representation
An interaction model between human and system for intuitive graphical search interface
Matching news articles and wikipedia tables for news augmentation
Editorial: Ontology Challenges: A Thumbnail Historical Perspective
Mining collective knowledge: inferring functional labels from online review for business
Overlapping community detection in social networks using coalitional games
Evaluating the impact of drift detection mechanisms on stock market forecasting
Label similarity-based weighted soft majority voting and pairing for crowdsourcing
A unified statistical framework for crowd labeling
Process monitoring using maximum sequence divergence
Modeling recurring concepts in data streams: a graph-based framework
A decomposition hybrid structure learning algorithm for Bayesian network using expert knowledge
Multi-domain anomaly detection in spatial datasets
Node reactivation model to intensify influence on network targets
A keyword extraction model study in the movie domain with synopsis and reviews
Collaborative filtering recommender systems taxonomy
Text classification using embeddings: a survey
Mining sequential patterns from probabilistic databases
Model complexity of deep learning: a survey
Climate modeling with neural advection-diffusion equation
A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation
Trusting deep learning natural-language models via local and global explanations
Kernel conditional clustering and kernel conditional semi-supervised learning
Fused modality-enhanced graph convolutional network for multimodal recommendation
Bulk construction of dynamic clustered metric trees
Fuzzy modified cuckoo search for biomedical image segmentation
Harnessing heterogeneity in space with statistically guided meta-learning
Efficient Join Processing Using Partial Precomputation
Detecting duplicate biological entities using Markov random field-based edit distance
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers
Multi-label feature selection based on logistic regression and random walk strategy
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules
A new multiattribute decision making method based on interval-valued intuitionistic fuzzy values
Navigating complexity: a comprehensive review of heterogeneous information networks and embedding techniques
Out-of-core detection of periodicity from sequence databases
Microaneurysms detection in fundus images using local Fourier transform and neighbourhood analysis
A decentralized search engine for dynamic Web communities
Three iteratively reweighted least squares algorithms for L 1 -norm principal component analysis
Spatial and semantical label inference for social media - A cross-network data fusion approach
An effective few-shot learning approach via location-dependent partial differential equation
Vector knowledge transfer-driven representation learning for heterogeneous hypernetworks
IKARUS-Onto: a methodology to develop fuzzy ontologies from crisp ones
Expert deduction rules in data mining with association rules: a case study
A parameter-free text classification method based on dual compressors
EFIM: a fast and memory efficient algorithm for high-utility itemset mining
Learning and clustering of fuzzy cognitive maps for travel behaviour analysis
Instance weighting versus threshold adjusting for cost-sensitive classification
The 10 million follower fallacy: audience size does not prove domain-influence on Twitter
Correction: Meta-heuristic endured deep learning model for big data classification: image analytics
Leveraging external information in topic modelling
Towards a graph-based user profile modeling for a session-based personalized search
Unifying Faceted Search and Analytics over RDF Knowledge Graphs
Balancing exploration and exploitation in moth-flame optimization for global optimization and feature selection
Convex non-negative matrix factorization for massive datasets
A Pattern Decomposition Algorithm for Data Mining of Frequent Patterns
An overview of aggregation methods for social networks analysis
Computing compatibility in dynamic service composition
Unlocking wisdom: enhancing biomedical question answering with domain knowledge
Centrality measures-based algorithm to visualize a maximal common induced subgraph in large communication networks
Lightly supervised acquisition of named entities and linguistic patterns for multilingual text mining
An integrated trust establishment model for the internet of agents
Review on novelty detection in the non-stationary environment
Multiple feature-anisotropic regularization for out-of-domain intent detection
Conflict-aware influence maximization on hostile-labeled social networks
Dynamic token pruning for LLMs: leveraging task-specific attention and adaptive thresholds
Exploiting block co-occurrence to control block sizes for entity resolution
Consistent collective evaluation of multiple continuous queries for filtering heterogeneous data streams
Integrating researchers' scientific production information through Ogmios
TriFMatch: a flash subgraph matching algorithm with effective filtering techniques
Finding multiple stable clusterings
Estimating robustness in large social graphs
A survey on ordering of text at different granular levels
Exploiting semantic annotations for open information extraction: an experience in the biomedical domain
MG2Vec+: A multi-headed graph attention network for multigraph embedding
A typology of course of motion in simulated environments based on Bézier curve analysis
Context-dependent combination of sensor information in Dempster-Shafer theory for BDI
Load forecasting through functional clustering and ensemble learning
Efficient and flexible anonymization of transaction data
A Methodology for Structural Conflict Resolution in the Integration of Entity-Relationship Schemas
LmGa: Combining label mapping method with graph attention network for agricultural recognition
Correcting evaluation bias of relational classifiers with network cross validation
Partial spatio-temporal co-occurrence pattern mining
Graph representation learning method using diffusion sampling for dynamic graph anomaly detection
Stability of feature selection algorithms: a study on high-dimensional spaces
Ensemble of classifier chains and decision templates for multi-label classification
Splitting anonymization: a novel privacy-preserving approach of social network
Improving security in NoSQL document databases through model-driven modernization
Evaluation metrics on text summarization: comprehensive survey
Cutting to the chase with warm-start contextual bandits
Dynamic windowing mechanism to combine sentiment and N-gram analysis in detecting events from social media
DORIC: discovering topological relations based on spatial link composition
Transfer dimensionality reduction by Gaussian process in parallel
GradeAid: a framework for automatic short answers grading in educational contexts - design, implementation and evaluation
Recurrent concepts in data streams classification
Learning concept embeddings for dataless classification via efficient bag-of-concepts densification
An FPA and GA-based hybrid evolutionary algorithm for analyzing clusters
An aviation accidents prediction method based on MTCNN and Bayesian optimization
A collaborative filtering framework based on fuzzy association rules and multiple-level similarity
Shared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion
An energy-conserving approach for data formatting and trusted document exchange in resource-constrained networks
Community detection combining topology and attribute information
Instance reduction for one-class classification
Enhancing recommender systems with LLM-extracted explicit features
Approximate posterior inference for Bayesian models: black-box expectation propagation
Local search and pseudoinversion: an hybrid approach to neural network training
Extraction of independent discriminant features for data with asymmetric distribution
RTCRelief-F: an effective clustering and ordering-based ensemble pruning algorithm for facial expression recognition
Enhancing knowledge discovery and management through intelligent computing methods: a decisive investigation
Contrastive multi-view clustering based on multi-head attention mechanisms and three-way decision
An accuracy analysis of classical and quantum-enhanced K-nearest neighbor algorithm using Canberra distance metric
A survey of automated data augmentation algorithms for deep learning-based image classification tasks
A framework for personalized recommendation with conditional generative adversarial networks
Kernel-based iVAT with adaptive cluster extraction
Mining contentious documents
Adapting ADtrees for improved performance on large datasets with high-arity features
Data discretization unification
Ontology Evolution: Not the Same as Schema Evolution
A fuzzy ontology-based approach for tool-supported decision making in architectural design
Sharing beliefs among agents with different degrees of credibility
Revolutionising anomaly detection: a hybrid framework for anomaly detection integrating isolation forest, autoencoder, and Conv. LSTM
Restrictive partially blind signature for resource-constrained information systems
E-learning app selection multi-criteria group decision-making problem using Einstein operator in linguistic trapezoidal neutrosophic environment
Transfer learning for fine-grained entity typing
Anonymizing graphs: measuring quality for clustering
Heterogeneous graph neural network with semantic-aware differential privacy guarantees
Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation
A hybrid quantum approach to leveraging data from HTML tables
Keyword search in relational databases
Action rule discovery from incomplete data
Automatic ranking of retrieval models using retrievability measure
Obtaining scalable and accurate classification in large-scale spatio-temporal domains
Feature importance measure of a multilayer perceptron based on the presingle-connection layer
Influential users identification under the non-progressive LTIRS model
Synergizing linguistic features and transformer networks for detecting AI-generated text
A Temporal Logic for Supporting Historical Databases
A hash-based index for processing frequent updates and continuous location-based range queries
Agent-based tool to reduce the maintenance cost of energy distribution networks
Detecting anomalies in cross-classified streams: a Bayesian approach
Exploiting rich user information for one-class collaborative filtering
Discovering Text Databases with Neural Nets
A machine reading comprehension model with counterfactual contrastive learning for emotion-cause pair extraction
Fast detection of community structures using graph traversal in social networks
Transformer-based advances in sarcasm detection: a study of contextual models and methodologies
A unified framework for backpropagation-free soft and hard gated graph neural networks
Integrating semantic similarity with Dirichlet multinomial mixture model for enhanced web service clustering
Fast network discovery on sequence data via time-aware hashing
Handicapping attacker's confidence: an alternative to k -anonymization
A clustering algorithm for detecting differential deviations in the multivariate time-series IoT data based on sensor relationship
A Linguistic Approach to Extracting Acronym Expansions from Text
Deep multi-semantic fuzzy K-means with adaptive weight adjustment
Handling failing RDF queries: from diagnosis to relaxation
UCAD: commUnity disCovery method in Attribute-based multicoloreD networks
A systematic construction of non-i.i.d. data sets from a single data set: non-identically distributed data
Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments
Similarity assessment for removal of noisy end user license agreements
PADS: a simple yet effective pattern-aware dynamic search method for fast maximal frequent pattern mining
Imputing sentiment intensity for SaaS service quality aspects using T-nearest neighbors with correlation-weighted Euclidean distance
Attribute Generation Based on Association Rules
Joint prediction of time series data in inventory management
A three-stage holistic risk assessment approach proposal based on KEMIRA-M and DEMATEL integration
Soft-constrained Laplacian score for semi-supervised multi-label feature selection
Ontologies for Knowledge Management: An Information Systems Perspective
The analysis and management of non-canonical requirement specifications through a belief integration game
An overview of high utility itemsets mining methods based on intelligent optimization algorithms
Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data
A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data
Outlier detection in classification based on feature-selection-based regression
Exceptionally monotone models - the rank correlation model class for Exceptional Model Mining
Techniques, datasets, evaluation metrics and future directions of a question answering system
The multi-walker chain and its application in local community detection
A knowledge extrapolation model for attack inference based on graph attention networks and relation mapping
A General Approach to Clustering in Large Databases with Noise