yusuke1997/dblp-id-title huggingface dataset:
Scalable clustering methods for the name disambiguation problem
Kingfisher: an efficient algorithm for searching for both positive and negative dependency rules with statistical significance measures
e-Recruitment recommender systems: a systematic review
A comprehensive bibliometric analysis of Big Data and Cyber Security: intellectual structure, trends, and global collaborations
A survey on review summarization and sentiment classification
Image annotation techniques based on feature selection for class-pairs
Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression
DQN-PACG: load regulation method based on DQN and multivariate prediction model
A spatial relation-based framework to perform visual information extraction
Visual information extraction
A time-interval sequence classification method
Mining parallel sentences from internet with multi-view knowledge distillation for low-resource language pairs
Graph data augmentation using multi-label mixup
Mining Navigation Patterns Using a Sequence Alignment Method
"Just-in-time" generation of datasets by considering structured representations of given consent for GDPR compliance
Multiresolution-based bilinear recurrent neural network
Learning sequential features for cascade outbreak prediction
Mining indirect antagonistic communities from social interactions
A binary neural k -nearest neighbour technique
Identifying significant textual features in titles of Google play store applications and their influence on user review rating
Robust projected clustering
Gated information bottleneck for generalization in sequential environments
MiSPOT: dynamic product placement for digital TV through MPEG-4 processing and semantic reasoning
On classification and segmentation of massive audio data streams
Latent semantic analysis for vector space expansion and fuzzy logic-based genetic clustering
Enhancing multimedia document modeling through extended orbit-based rhetorical structure: an approach to media weighting for importance determination
From distributed machine learning to federated learning: a survey
Stabilized sparse ordinal regression for medical risk stratification
A GPU-oriented online recommendation algorithm for efficient processing of time-varying continuous data streams
MOSubdue: a Pareto dominance-based multiobjective Subdue algorithm for frequent subgraph mining
Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems
Nesting and Defoliation of Index Expressions for Information Retrieval
Multi-agent system architecture for winter road maintenance: a real Spanish case study
Query-dependent cross-domain ranking in heterogeneous network
Comprehensive review of deep learning-based tiny object detection: challenges, strategies, and future directions
Random walk-based entity representation learning and re-ranking for entity search
Enhancing sentiment analysis via fusion of multiple embeddings using attention encoder with LSTM
English-Arabic collocation extraction to enhance Arabic collocation identification
Toward value difference metric with attribute weighting
A generic framework for mining sequences with various interestingness measures in dynamic attributed graphs
Diffusion archeology for diffusion progression history reconstruction
DASC: data aware algorithm for scalable clustering
Real-time classification of variable length multi-attribute motions
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
Multi-grained feature gating fusion network for multimodal sentiment analysis
Survival neural networks for time-to-event prediction in longitudinal study
Leveraging BERT for extractive text summarization on federal police documents
Compressed k d -tree for temporal graphs
A graph grammar and K 4 -type tournament-based approach to detect conflicts of interest in a social network
Discovering fortress-like cohesive subgraphs
Comparative Evaluation of Two Neural Network Based Techniques for Classification of Microcalcifications in Digital Mammograms
Extended MDL principle for feature-based inductive transfer learning
Visionary: a framework for analysis and visualization of provenance data
Eight years of AutoML: categorisation, review and trends
Multiresolution hierarchical support vector machine for classification of large datasets
A learned index for approximate kNN queries in high-dimensional spaces
Resolution-based outlier factor: detecting the top- n most outlying data points in engineering data
Dynamic evaluation of the development process of knowledge-based information systems
Trilingual conversational intent decoding for response retrieval
An efficient rumor detection model based on deep learning and flower pollination algorithm
Two improved attribute weighting schemes for value difference metric
A dynamic attribute-based data filtering and recovery scheme for web information processing
Elastic distances for time-series classification: Itakura versus Sakoe-Chiba constraints
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering
A review and evaluation of elastic distance functions for time series clustering
A survey of the dendritic cell algorithm
Long-term fairness in sequential group recommendations
Dynamic skyline computation on massive data
GSBC-SNet: a novel graph-aware bidirectional contrastive semantic network for multilabel text classification
A compact firefly algorithm for matching biomedical ontologies
A new way of search query like knowledge graph and its interpretability
A search space optimization method for fuzzy access control auditing
Multi-layer topic interaction propagation model and simulation considering opinion interaction
Multi-objective optimization-based task offloading with OFDM in large-scale industrial internet of things
Building actions from classification rules
Temporal relation co-clustering on directional social network and author-topic evolution
A Knowledge Management Framework for the Support of Decision Making in Humanitarian Assistance/Disaster Relief
Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy
Review of English literature on figurative language applied to social networks
Electronic Roads: Intelligent Navigation Through Multi-Contextual Information
GoGP: scalable geometric-based Gaussian process for online regression
Diversity-enhanced conversational recommendation via multi-agent reinforcement learning
On Similarity Measures for Multimedia Database Applications
A study of approaches to answering complex questions over knowledge bases
Diverse dimension decomposition for itemset spaces
A study on semi-supervised FCM algorithm
Agent-Based Systems for Intelligent Manufacturing: A State-of-the-Art Survey
Toward understanding the importance of gesture in distributed scientific collaboration
An innovative linear unsupervised space adjustment by keeping low-level spatial data structure
A survey on rumor detection and prevention in social media using deep learning
Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search
Evolutionary isotonic separation for classification: theory and experiments
Forecasting PGR of the financial industry using a rough sets classifier based on attribute-granularity
F2ConText: how to extract holistic contexts of persons of interest for enhancing exploratory analysis
An overview of cluster-based image search result organization: background, techniques, and ongoing challenges
Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach
Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review
SVM-RFE with optimization-based feature selection and parallel convolutional stacked autoencoder for detecting minority-class sample attacks
Knowledge filter contrastive learning for recommendation
Sentiment analysis of tweets using text and graph multi-views learning
caSPiTa: mining statistically significant paths in time series data from an unknown network
Data pricing in machine learning pipelines
NAG: neural feature aggregation framework for credit card fraud detection
Enhancing supervised bug localization with metadata and stack-trace
BestNeighbor: efficient evaluation of kNN queries on large time series databases
Scalability and sparsity issues in recommender datasets: a survey
Applications of deep learning for phishing detection: a systematic literature review
Learning the Search Range for Evolutionary Optimization in Dynamic Environments
TensorCast: forecasting and mining with coupled tensors
DFuzzy: a deep learning-based fuzzy clustering model for large graphs
Analyzing large-scale human mobility data: a survey of machine learning methods and applications
A high-performing comprehensive learning algorithm for text classification without pre-labeled training set
Exploiting highly qualified pattern with frequency and weight occupancy
Role updating in information systems using model checking
CVA file: an index structure for high-dimensional datasets
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach
An integrated framework for diagnosing process faults with incomplete features
Data preprocessing techniques for classification without discrimination
Leveraging path information to generate predictions for parallel business processes
Fed3C: federated clustering-based centralized classification
High utility itemset mining in data stream using elephant herding optimization
Multi-graph-view subgraph mining for graph classification
Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning
Anomaly detection of event sequences using multiple temporal resolutions and Markov chains
Category-aware dual channel graph neural networks for session-based recommendation
A markov prediction model for data-driven semi-structured business processes
Graph-based local concept coordinate factorization
Automatic regex synthesis methods for english: a comparative analysis
Recommender systems in the digital age: a comprehensive review of methods, challenges, and applications
CP-nets-based user preference learning in automated negotiation through completion and correction
Exploiting maximal redundancy to optimize SQL queries
Deep graph clustering via mutual information maximization and mixture model
On condensed representations of constrained frequent patterns
An experimental analysis on evolutionary ontology meta-matching
Effective and efficient location influence mining in location-based social networks
A weakest link-driven global QoS adjustment approach for optimizing the execution of a composite web service
An adaptive cold-start recommendation method based on iterative attention mechanism
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting
Efficient monitoring of skyline queries over distributed data streams
Combining compound and single terms under language model framework
Navigation leads for exploratory search and navigation in digital libraries
A multi-phase correlation search framework for mining non-taxonomic relations from unstructured text
Maritime abnormality detection using Gaussian processes
On the scalability of feature selection methods on high-dimensional data
Robust-GBDT: leveraging robust loss for noisy and imbalanced classification with GBDT
Best terms: an efficient feature-selection algorithm for text categorization
XML and Industrial Standards for Electronic Commerce
Efficient location-based search of trajectories with location importance
Hypergraph querying using structural indexing and layer-related-closure verification
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
On big wisdom
CPU load shedding for binary stream joins
A heterogeneous hidden Markov model for mobile app recommendation
Unleashing the power of indirect attacks against trust prediction via preferential path
Knowledge graph incremental embedding for unseen modalities
DeepAM: a heterogeneous deep learning framework for intelligent malware detection
Mining gene-sample-time microarray data: a coherent gene cluster discovery approach
Supervised term weighting centroid-based classifiers for text categorization
Approximate data instance matching: a survey
Adaptation and user modeling in hypermedia learning environments using the SEM-HP model and the JSEM-HP tool
KLECA: knowledge-level-evolution and category-aware personalized knowledge recommendation
A repairing missing activities approach with succession relation for event logs
Feature selection for semi-supervised sentiment analysis of e-commerce reviews using CNN and neutrosophic fuzzy parameters
A highly scalable parallel algorithm for maximally informative k-itemset mining
Improving Alzheimer's classification using a modified Borda count voting method on dynamic ensemble classifiers
A Probe-Based Technique to Optimize Join Queries in Distributed Internet Databases
Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification
SEPT: an efficient skyline join algorithm on massive data
A graph-based solution for writer identification from handwritten text
FND-EKA: hierarchical conditional multimodal fake news detection with external knowledge augmentation
Weighted-object ensemble clustering: methods and analysis
Incremental reinforcement learning for multi-objective robotic tasks
Range control-based class imbalance and optimized granular elastic net regression feature selection for credit risk assessment
Virus propagation: threshold conditions for multiple profile networks
Enterprise knowledge management model: a knowledge tower
Privacy-preserving SVM classification
A general streaming algorithm for pattern discovery
Integrating multiple document features in language models for expert finding
Feature selection techniques for machine learning: a survey of more than two decades of research
Adapting k-means for graph clustering
Fast affinity propagation clustering based on incomplete similarity matrix
Actions and social interactions in multi-agent systems
ChatBot for student service based on RASA framework
A smoothed monotonic regression via L2 regularization
Improving knowledge graphs via data-based causal structures
Cross-modal associated learning with spatial-temporal attention for hot topic detection
Deep reinforcement learning-based resource allocation and seamless handover in multi-access edge computing based on SDN
A segment-based framework for modeling and mining data streams
Evolving trees for the retrieval of mass spectrometry-based bacteria fingerprints
A multimodal virtual reality interface for 3D interaction with VTK
Fast PageRank approximation by adaptive sampling
OntoILPER: an ontology- and inductive logic programming-based system to extract entities and relations from text
SUM-optimal histograms for approximate query processing
Cross-space topological contrastive learning for knowledge graph-aware issue recommendation
Analyzing collective behavior from blogs using swarm intelligence
Extension of TOPSIS method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information
Characterizing pattern preserving clustering
Convex Hull Ensemble Machine for Regression and Classification
Group decision-making with interval multiplicative preference relations
Tackling representation, annotation and classification challenges for temporal knowledge base population
Cross-language document summarization via extraction and ranking of multiple summaries
Deep learning for precision agriculture: a systematic review of methods, challenges, and future directions
The phantom steering effect in Q&A websites
ProAID: path-based reasoning for self-attentional disease prediction
Heterogeneous representation learning with separable structured sparsity regularization
Probabilistic opposition-based particle swarm optimization with velocity clamping
A new truth discovery method for resolving object conflicts over Linked Data with scale-free property
S-RAP: relevance-aware QoS prediction in web-services and user contexts
Additive consistency analysis for nested probabilistic linguistic preference relations and its application in decision making
An efficient algorithm for mining closed high utility itemsets over data streams with one dataset scan
A configurable mining approach for enhancing the business processes' performance
CPB: a classification-based approach for burst time prediction in cascades
An efficient pruning strategy for approximate string matching over suffix tree
Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages
Evidential positive opinion influence measures for viral marketing
High-Dimensional Nearest Neighbor Search with Remote Data Centers
Fuzzy entropy based optimization of clusters for the segmentation of lungs in CT scanned images
Query indexing with containment-encoded intervals for efficient stream processing
Boosting for graph classification with universum
Searchable encryption approaches: attacks and challenges
Generalized few-shot node classification: toward an uncertainty-based solution
E2EET: from pipeline to end-to-end entity typing via transformer-based embeddings
MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks
Discovery of time series k-motifs based on multidimensional index
A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer
Data-driven efficient network and surveillance-based immunization
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data
Securing SIP-based VoIP infrastructure against flooding attacks and Spam Over IP Telephony
Compressed hierarchical binary histograms for summarizing multi-dimensional data
Modified algorithms for synthesizing high-frequency rules from different data sources
The k -anonymity and l -diversity approaches for privacy preservation in social networks against neighborhood attacks
Multiscale Laplacian graph kernel combined with lexico-syntactic patterns for biomedical event extraction from literature
Representing and Reasoning on Database Conceptual Schemas
Mining fuzzy association rules from uncertain data
A representation learning model based on stochastic perturbation and homophily constraint
An evidence-based credit evaluation ensemble framework for online retail SMEs
On measuring network robustness for weighted networks
Big data analytics enabled deep convolutional neural network for the diagnosis of cancer
A new and improved version of particle swarm optimization algorithm with global-local best parameters
Distributed processing of regular path queries in RDF graphs
MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels
Discovering frequent chain episodes
A masking index for quantifying hidden glitches
DFSP: a Depth-First SPelling algorithm for sequential pattern mining of biological sequences
Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions
Integrating learned and explicit document features for reputation monitoring in social media
On mining approximate and exact fault-tolerant frequent itemsets
Auto-labelling entities in low-resource text: a geological case study
Aspect term extraction and snake driving training-based optimization-enabled deep learning for Facebook sentiment analysis
Discovering disjoint object property pairs in knowledge graphs using Probabilistic Soft Logic
Finding top- k, r -cliques for keyword search from graphs in polynomial delay
A new method of ensemble learning: case of cryptocurrency price prediction
Collaborative Filtering Using a Regression-Based Approach
Compact and efficient representation of general graph databases
Sliding windows over uncertain data streams
Eliminating false positive results to effectively analyze anomaly changes in violent videos
Chinese adversarial examples generation approach with multi-strategy based on semantic
Bootstrapping trust of Web services based on trust patterns and Hidden Markov Models
Cell Histograms Versus Color Histograms for Image Representation and Retrieval
Handling non-canonical software requirements based on Annotated Predicate Calculus
A knowledge-based approach to multiplayer games in peer-to-peer networks
Efficient processing of streaming updates with archived master data in near-real-time data warehousing
On processing continuous frequent K-N-match queries for dynamic data over networked data sources
Chatting with organisational data: a generative AI approach applied to scientific reports for information seeking
A comprehensive empirical comparison of hubness reduction in high-dimensional spaces
A new ant colony optimization based algorithm for data allocation problem in distributed databases
On weighted lower and upper possibilistic means and variances of fuzzy numbers and its application in decision
A Meteorological Fuzzy Expert System Incorporating Subjective User Input
Uncovering and predicting the dynamic process of information cascades with survival model
Complex-valued encoding symbiotic organisms search algorithm for global optimization
A Fuzzy Petri Net for Pattern Recognition: Application to Dynamic Classes
An integer linear programming model to improve the dependency graph discovery step of heuristics miner methods
Compact lossy compression of tensors via neural tensor-train decomposition
EDMIX: an entropy-based dissimilarity measure to cluster mixed data comprising of numerical-nominal-ordinal attributes
FCHM-stream: fast closed high utility itemsets mining over data streams
Subspace sums for extracting non-random data from massive noise
Mining high utility contrast patterns in sequences
Origo: causal inference by compression
On measuring the performance of binary classifiers
Clustering multidimensional sequences in spatial and temporal databases
Multi-label classification with label clusters
Reconstructing individual mobility from smart card transactions: a collaborative space alignment approach
Reinvestigating Dempster's Idea on Evidence Combination
Learning sequence-to-sequence affinity metric for near-online multi-object tracking
Short isometric shapelet transform for binary time series classification
Position-category-aware attention network for next-item recommendation
Enumerating all multi-constrained s-t paths on temporal graph
Inference in the SOOKAT object-oriented knowledge acquisition tool
Bounds on the moments for an ensemble of random decision trees
Using discriminant analysis for multi-class classification: an experimental investigation
Anonymous location sharing in urban area mobility
Optimizing RAG-based LLMs for healthcare question answering tasks
A probabilistic model for semantic advertising
Modeling adoptions and the stages of the diffusion of innovations
Answering why-not questions on SPARQL queries
A nonnegative matrix factorization framework for semi-supervised document clustering with dual constraints
Next process-activity prediction using Switch-Transformer: approach, visualization, and performance evaluation
Discovery of interactive graphs for understanding and searching time-indexed corpora
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
TeMAS-a multi-agent system for temporally rich domains
A systematic literature review on the application of process mining to Industry 4.0
Transfer learning for activity recognition: a survey
COID: A cluster-outlier iterative detection approach to multi-dimensional data analysis
From sets of good redescriptions to good sets of redescriptions
Online active learning method for multi-class imbalanced data stream
Automatic outlier detection for time series: an application to sensor data
Greedy column subset selection for large-scale data sets
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks
Cost-sensitive selection of variables by ensemble of model sequences