yusuke1997/dblp-id-title huggingface dataset:
Minimum-adjustment-based sequential optimization frameworks for consistency improvement and consensus-reaching in group decision making with additive reciprocal preference relations
Chatbot development strategies: a review of current studies and applications
Recipe analysis for knowledge discovery of gastronomic dishes
Privacy-preserving kernel k-means clustering outsourcing with random transformation
Improving density peak clustering on multi-dimensional time series: rediscover and subdivide
Collective warming versus strategic alliances: Which emerges more readily? A networked evolutionary game analysis in status-equal populations
A history-driven approach at evolving views under meta data changes
A Bayesian hierarchical model for orthogonal Tucker decomposition with oblivious tensor compression
Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction
AI-driven road traffic management: a comprehensive review of outlier detection techniques and challenges
Deep learning and embeddings-based approaches for keyphrase extraction: a literature review
Semisupervised learning from different information sources
Dynamic resource orchestration in edge computing environments using multi-agent reinforcement learning
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels
HIME: discovering variable-length motifs in large-scale time series
What is the difference? A cognitive dissimilarity measure for information retrieval result sets
Travel route recommendation using geotagged photos
Integration of multiple network views in Wikipedia
Crop health assessment through hierarchical fuzzy rule-based status maps
PRS: efficient range skyline computation on massive data via presorting
Special issue on selected papers from IEEE DMF 2008
Distributed ReliefF-based feature selection in Spark
Neural TV program recommendation with heterogeneous attention
Integrated anchor and social link predictions across multiple social networks
Tracking the evolution of social emotions with topic models
Generalized maximal utility for mining high average-utility itemsets
Measuring the diversity of recommendations: a preference-aware approach for evaluating and adjusting diversity
Linguistic entity masking to improve cross-lingual representation of multilingual language models for low-resource languages
A heuristic method for learning Bayesian networks using discrete particle swarm optimization
Learning from automatically labeled data: case study on click fraud prediction
FDHUP: Fast algorithm for mining discriminative high utility patterns
Temporal Defeasible Reasoning
A survey of the state of the art in learning the kernels
Continuous similarity search for evolving queries
Mentor-spotting: recommending expert mentors to mentees for live trouble-shooting in Codementor
Advancing synthesis of decision tree-based multiple classifier systems: an approximate computing case study
Robust multi-label feature selection with shared label enhancement
Conversation and recommendation: knowledge-enhanced personalized dialog system
Few-shot anomaly detection and classification through reinforced data selection with a combinatorial reward
Prompt templates for argument relation classification using frame semantic parsing
Imputing missing value through ensemble concept based on statistical measures
Effective classification of noisy data streams with attribute-oriented dynamic classifier selection
Joint knowledge graph approach for event participant prediction with social media retweeting
A compression method of double-array structures using linear functions
Efficient greedy feature selection for unsupervised learning
Domain-agnostic discovery of similarities and concepts at scale
Comparison of different weighting schemes for the kNN classifier on time-series data
Generative model-based document clustering: a comparative study
Bayesian network based business information retrieval model
A segment-based approach for large-scale ontology matching
Context mining and graph queries on giant biomedical knowledge graphs
Schema-based Web wrapping
Improving inference via rich path information and logic rules for document-level relation extraction
Book recommendation using sentiment analysis and ensembling hybrid deep learning models
Incremental community discovery via latent network representation and probabilistic inference
Exploiting patterns to explain individual predictions
Gender, writing and ranking in review forums: a case study of the IMDb
SPARQL graph pattern rewriting for OWL-DL inference queries
Improvements on approximation algorithms for clustering probabilistic data
Verifying the manipulation of data objects according to business process and data models
Extreme pivots: a pivot selection strategy for faster metric search
An efficient orientation distance-based discriminative feature extraction method for multi-classification
Feature-selection-based dynamic transfer ensemble model for customer churn prediction
Cost-effective data fusion in information retrieval
Information retrieval with concept-based pseudo-relevance feedback in MEDLINE
Cybersecurity in the AI era: analyzing the impact of machine learning on intrusion detection
An automatic keyphrase extraction system for scientific documents
Prompting visual dialog with implicit logical knowledge
Social computing in currency exchange
The Mask of ZoRRo: preventing information leakage from documents
A relational hierarchical model for decision-theoretic assistance
Spectral clustering in multi-agent systems
A high-performance distributed algorithm for mining association rules
A novel ensemble label propagation with hierarchical weighting for semi-supervised learning
A survey on mining and analysis of uncertain graphs
Estimating time series averages from latent space of multi-tasking neural networks
Normalisation of imprecise temporal expressions extracted from text
Phoneme sequence recognition via DTW-based classification
Clustering spatial data with a geographic constraint: exploring local search
Structured feature selection and task relationship inference for multi-task learning
A hybrid memory built by SSD and DRAM to support in-memory Big Data analytics
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets
Building Minority Language Corpora by Learning to Generate Web Search Queries
Physics-guided machine learning from simulated data with different physical parameters
A probabilistic model to resolve diversity-accuracy challenge of recommendation systems
A black-box model for predicting difficulty of word puzzle games: a case study of Wordle
Locally and globally explainable time series tweaking
Expert-driven trace clustering with instance-level constraints
TKAP: Efficiently processing top-k query on massive data by adaptive pruning
A dissimilarity function for geospatial polygons
Soft causal learning for generalized molecule property prediction: An environment modeling perspective
A scalable approach for detecting plagiarized mobile applications
Predicting learning performance using NLP: an exploratory study using two semantic textual similarity methods
GK index: bridging Gf and K indices for comprehensive author evaluation
A general framework for designing a fuzzy rule-based classifier
A survey on influence maximization in a social network
An algorithmic framework for frequent intraday pattern recognition and exploitation in forex market
A novel semi-supervised learning framework with simultaneous text representing
Bounded matrix factorization for recommender system
Toward intrusion detection using belief decision trees for big data
Immune algorithm with orthogonal design based initialization, cloning, and selection for global optimization
A multi-breakpoints approach for symbolic discretization of time series
Sentiment analysis framework for entropy-based product recommendation system
S-Club: an overlay-based efficient service discovery mechanism in CROWN Grid
On Modeling and Verification of Temporal Constraints in Production Workflows
Random walk with restart: fast solutions and applications
Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm
Learning user credibility for product ranking
PPDU: dynamic graph publication with local differential privacy
A novel scheme to detect the best cloud service provider using logarithmic operational law in generalized spherical fuzzy environment
Data stream clustering with concept drift using fractal dimension
Learned index for non-key queries
Expansion and decentralized search in complex networks
Clustering semantically heterogeneous distributed aggregate databases
DNETC: dynamic network embedding preserving both triadic closure evolution and community structures
Ternary reversible extreme learning machines: the incremental tri-training method for semi-supervised classification
Situational Data Integration in Question Answering systems: a survey over two decades
DANCer: dynamic attributed networks with community structure generation
Parallel multiple kernel learning: a hybrid alternating direction method of multipliers
CanTree: a canonical-order tree for incremental frequent-pattern mining
Attribute reduction in ordered information systems based on evidence theory
A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks
Cross-domain recommender system using generalized canonical correlation analysis
Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization
Visualizing temporal cluster changes using Relative Density Self-Organizing Maps
Density-based weighting multi-surface least squares classification with its applications
LLM examiner: automating assessment in informal self-directed e-learning using ChatGPT
IFM-RCNN: a hybrid text classifier with enhanced performance of binary drug classification from tweets using improved faster mask-recurrent convolutional neural network
New activation weight calculation and parameter optimization for extended belief rule-based system based on sensitivity analysis
A generative model for time evolving networks
A novel fuzzy rule extraction approach using Gaussian kernel-based granular computing
Data-based adaptive online prediction model for plant-wide production indices
A framework for simulating real-time multi-agent systems
Euler common spatial pattern modulated with cross-frequency coupling
Efficient string matching with wildcards and length constraints
Measuring gene similarity by means of the classification distance
A two-way dense feature pyramid networks for object detection of remote sensing images
Generational analysis of tension and entropy in data structures: impact on automatic data integration and on the semantic web
Selection of browsers for smartphones: a fuzzy hybrid approach and machine learning technique
Disease outbreak prediction using natural language processing: a review
An efficient joint framework for interacting knowledge graph and item recommendation
Algorithms for unimodal segmentation with applications to unimodality detection
wiqiRBERT: lightweight relation prediction via confidence-aware focused retraining
Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection
Data Mining: How Research Meets Practical Development?
Document Similarity Using a Phrase Indexing Graph Model
Dynamically updating approximations based on multi-threshold tolerance relation in incomplete interval-valued decision information systems
Counting triangles in real-world networks using projections
An evidence-based approach for open-domain question answering
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks
Agent Models and Different User Ontologies for an Electronic Market Place
A method based on interval-valued fuzzy soft set for multi-attribute group decision-making problems under uncertain environment
Rule extraction from neural network trained using deep belief network and back propagation
The importance of generalizability for anomaly detection
Boosting text segmentation via progressive classification
Toward structural sparsity: an explicit ℓ 2 /ℓ 0 approach
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation
PEGASUS: mining peta-scale graphs
Efficient spatiotemporal index for geostreaming data on road networks based on graph hierarchical partition
Non-negative matrix factorization for semi-supervised data clustering
Community detection in social networks using user frequent pattern mining
Scalable recovery of missing blocks in time series with high and low cross-correlations
A novel cluster-based approach for keyphrase extraction from MOOC video lectures
SimClus: an effective algorithm for clustering with a lower bound on similarity
Finding centroid clusterings with entropy-based criteria
SABeDM: a sliding adaptive beta distribution model for concept drift detection in a dynamic environment
Is my model any good: differentially private regression diagnostics
Improved score aggregation for authorship verification
Binarized spiking neural networks optimized with Nomadic People Optimization-based sentiment analysis for social product recommendation
A review on preprocessing algorithm selection with meta-learning
Layer imbalance-aware multiplex network embedding
Enumeration of time series motifs of all lengths
Sleeved co-clustering of lagged data
Multi-document summarization via Archetypal Analysis of the content-graph joint model
Evaluating Interface Esthetics
Run Placement Policies for Concurrent Mergesorts Using Parallel Prefetching
False data separation for data security in smart grids
Securing the collective intelligence: a comprehensive review of federated learning security attacks and defensive strategies
Community detection using multilayer edge mixture model
Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction
Enhanced bipolar disorder assessment using novel similarity measures for possibility fuzzy bipolar soft information
A computational model of labor market participation with health shocks and bounded rationality
Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins
Deceptive reviewer group detection using self-adversarial variational autoencoder: a heterogeneous graph-based approach
A jointly non-cooperative game-based offloading and dynamic service migration approach in mobile edge computing
Tour recommendation and trip planning using location-based social media: a survey
Improving stock trend prediction with pretrain multi-granularity denoising contrastive learning
Distributed probabilistic top-k dominating queries over uncertain databases
Computing top-k temporal closeness in temporal networks
OGAS-DDS: an organized group attack strategy driven by human intelligence in dynamic data streams
Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions
Hybrid label propagation based on motifs and similarity measures for community detection
Discovering High-Order Periodic Patterns
GLEAM: a graph clustering framework based on potential game optimization for large-scale social networks
SLA-driven resource re-allocation for SQL-like queries in the cloud
Large-scale analysis of self-disclosure patterns among online social networks users: a Russian context
Chromosome segmentation and classification: an updated review
Decision-making and opinion formation in simple networks
A quantitative analysis of the robustness of knowledge-based systems through degradation studies
Weight masking in image classification networks: class-specific machine unlearning
Graph OLAP: a multi-dimensional framework for graph data analysis
Query-Sensitive Similarity Measures for Information Retrieval
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment
Graph-based PU learning for binary and multiclass classification without class prior
Revisiting of peer-to-peer traffic: taxonomy, applications, identification techniques, new trends and challenges
Feature refinement for cross-domain aspect-based sentiment analysis: a contrastive learning and domain alignment perspective
Data warehousing and knowledge discovery from sensors and streams
CAMAR: a broad learning based context-aware recommender for mobile applications
Collaborative online ranking algorithms for multitask learning
Exponential family tensor factorization: an online extension and applications
Bag of biterms modeling for short texts
Structuring persistent chat conversations: experimental results of the chatsistance tool
RP-Miner: a relaxed prune algorithm for frequent similar pattern mining
Design of viral marketing strategies for product cross-sell through social networks
A geometrical solution to time series searching invariant to shifting and scaling
An efficient deep learning framework for occlusion face prediction system
POTMiner: mining ordered, unordered, and partially-ordered trees
From decision knowledge to e-government expert systems: the case of income taxation for foreign artists in Belgium
Parameter investigation of support vector machine classifier with kernel functions
Fuzzy User Modeling for Information Retrieval on the World Wide Web
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs
Efficient breadth-first mining of frequent pattern with monotone constraints
Evaluation and comparison of various indexing schemes in single-channel broadcast communication environment
Multi-resolution boosting for classification and regression problems
Adaptive weighted least squares regression for subspace clustering
An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams
Short text topic modeling by exploring original documents
Coupled intrinsic and extrinsic human language resource-based query expansion
An approach of support approximation to discover frequent patterns from concept-drifting data streams based on concept learning
Continuous prediction of a time intervals-related pattern's completion
Minimizing conservativity violations in ontology alignments: algorithms and evaluation
NE 2 : named event extraction engine
Location determination of mobile devices for an indoor WLAN application using a neural network
Comparative analysis of sentence similarity detection using machine and deep learning with vectorization techniques
SNOD: a fast sampling method of exploring node orbit degrees for large graphs
Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data
Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning
A new hybrid reasoning model based on rules, cases and processes: application to care of individuals facing autism spectrum disorders
Qualitative Reasoning Under Ignorance and Information-Relevant Extraction
Focal Sampling: SGD biased towards early important samples for efficient image classification with augmentation selection
ASRec: adaptive sequential recommendation with dynamic and periodic preferences capturing
Restless reachability problems in temporal graphs
Privacy-preserving hybrid collaborative filtering on cross distributed data
Using topic-noise models to generate domain-specific topics across data sources
Co-clustering of fuzzy lagged data
Designing Triggers with Trigger-By-Example
Clustering XML documents by patterns
Enhancing knowledge graph embeddings for improved link prediction using graph neural networks
Handling of Alternatives and Events in Temporal Databases
Hyper-structure mining of frequent patterns in uncertain data streams
Hybrid reasoning technique for improving context-aware applications
Temporal hypergraph motifs
Editorial: Special issue on mining low-quality data
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification
Fake news detection: comparative evaluation of BERT-like models and large language models with generative AI-annotated data
Zipf's Law for Web Surfers
WAR: Weighted Association Rules for Item Intensities
Enhanced U-Net segmentation with ensemble convolutional neural network for automated skin disease classification
XML Indexing and Retrieval with a Hybrid Storage Model
Document-level sentiment classification using hybrid machine learning approach
An approach for fuzzy group decision making and consensus measure with hesitant judgments of experts
GDDRec: graph neural diffusion model for diversified recommendation
CANE: community-aware network embedding via adversarial training
A hypergraph embedded entropy approach to gene selection
Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series
Graph-based review spammer group detection
Dual neighborhood thresholding patterns based on directional sampling
A dual-layer deep learning model for parallel analysis of URL and HTML features in phishing website detection
Joint Schatten p-norm and ℓ p -norm robust matrix completion for missing value recovery
New possibilistic method for discovering linear local behavior using hyper-Gaussian distributed membership function
EigenRec: generalizing PureSVD for effective and efficient top-N recommendations
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training
Dynamic clustering of interval data based on hybrid \(L_q\) distance
Semantic-driven multi-camera pedestrian detection
Word network topic model: a simple but general solution for short and imbalanced texts
Semi-supervised multi-label feature learning via label enlarged discriminant analysis
Pairwise ranking component analysis
Shall I post this now? Optimized, delay-based privacy protection in social networks
Towards efficient top-k reliability search on uncertain graphs
Correction to: Virus propagation: threshold conditions for multiple profile networks
Precise temporal slot filling via truth finding with data-driven commonsense
A novel page clipping search engine based on page discussion topics
Interactive reinforced feature selection with traverse strategy
A hierarchical approach for the redesign of chemical processes
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems
Matching heterogeneous ontologies based on multi-strategy adaptive co-firefly algorithm
Multi-modal sarcasm detection using ensemble net model
Learning dataset representation for automatic machine learning algorithm selection
Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques
HyperMatch: long-form text matching via hypergraph convolutional networks
Effectiveness of NAQ-tree as index structure for similarity search in high-dimensional metric space
A new approach to radial basis function-based polynomial neural networks: analysis and design
Recent advances in document summarization
A systematic literature review on sentiment analysis techniques, challenges, and future trends
Exploiting edge semantics in citation graphs using efficient, vertical ARM
Binary classifier calibration using an ensemble of piecewise linear regression models
Artificial intelligence methodologies for agile refining: an overview
How do I update my model? On the resilience of Predictive Process Monitoring models to change
Online active multi-field learning for efficient email spam filtering
Enhancing deep reinforcement learning for stock trading: a reward shaping approach via expert feedback
Building a comprehensive and multi-dimensional information security ontology: elicitation process and OWL implementation
Defining the notion of 'Information Content' and reasoning about it in a database
All is attention for multi-label text classification
Scaling cut criterion-based discriminant analysis for supervised dimension reduction
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques
Struct-KGS2S: a structural context-based sequence-to-sequence model for link prediction in knowledge graphs