Knowledge and Information Systems

Papers
(The TQCC of Knowledge and Information Systems is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-02-01 to 2025-02-01.)
ArticleCitations
Fast computation of distance-generalized cores using sampling212
Latent mutual feature extraction for cross-domain recommendation166
AMAdam: adaptive modifier of Adam method134
An incremental clustering algorithm based on semantic concepts62
Approximate posterior inference for Bayesian models: black-box expectation propagation62
Enhanced multimodal recommendation systems through reviews integration57
Feature selection using game Shapley improved grey wolf optimizer for optimizing cancer classification48
PPDU: dynamic graph publication with local differential privacy47
Improving inference via rich path information and logic rules for document-level relation extraction47
A novel fuzzy twin support vector machine using mass-based dissimilarity measure47
Fairness in graph-based semi-supervised learning43
Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings38
Bypassing combinatorial explosions in equivalence structure extraction34
Smart COVIDNet: designing an IoT-based COVID-19 disease prediction framework using attentive and adaptive-derived ensemble deep learning29
Distributional constraint discovery for intelligent auditing27
Learning to hash: a comprehensive survey of deep learning-based hashing methods27
SVM-based subspace optimization domain transfer method for unsupervised cross-domain time series classification25
KRL_Match: knowledge graph objects matching for knowledge representation learning24
Sharp characterization of optimal minibatch size for stochastic finite sum convex optimization23
Understanding stance classification of BERT models: an attention-based framework23
PGT: news recommendation coalescing personal and global temporal preferences22
NeuCrowd: neural sampling network for representation learning with crowdsourced labels21
RDF-Gen: generating RDF triples from big data sources21
Aspect and orientation-based sentiment analysis of customer feedback using mathematical optimization models20
Quality of interaction-based predictive model for support of online learning in pandemic situations20
Scalable force-directed graph representation learning and visualization19
Cutting to the chase with warm-start contextual bandits19
Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length18
Structure-aware attributed heterogeneous network embedding18
An online ensemble classification algorithm for multi-class imbalanced data stream17
Disease outbreak prediction using natural language processing: a review17
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems16
Random walk on node cliques for high-quality samples to estimate large graphs with high accuracies and low costs16
An adaptive and late multifusion framework in contextual representation based on evidential deep learning and Dempster–Shafer theory16
A multi-view mask contrastive learning graph convolutional neural network for age estimation16
Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning16
Truth validation with evidence15
Iterative sliding window aggregation for generating length-scale-specific fractal features15
Few-shot partial multi-label learning via prototype rectification14
Hybrid Henry gas solubility optimization and the equilibrium optimizer for feature selection: real cases with Twitter spam detection14
Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media14
DAuCNet: deep autoregressive framework for temporal link prediction combining copy mechanism network13
Learning diffusion model-free and efficient influence function for influence maximization from information cascades13
Similarity enhancement of heterogeneous networks by weighted incorporation of information13
Mining discriminative itemsets in data streams using the tilted-time window model13
Unifying community detection and network embedding in attributed networks13
Tracking social provenance in chains of retweets12
Federated search techniques: an overview of the trends and state of the art12
A novel cluster-based approach for keyphrase extraction from MOOC video lectures12
Utilizing the influence of multiple potential factors for social recommendation12
DQN-PACG: load regulation method based on DQN and multivariate prediction model11
MoRGH: movie recommender system using GNNs on heterogeneous graphs11
On the use of the descriptive variable for enhancing the aggregation of crowdsourced labels11
Truss community search in uncertain graphs11
A robust adaptive linear regression method for severe noise11
Complementary incomplete weighted concept factorization methods for multi-view clustering11
GoSum: extractive summarization of long documents by reinforcement learning and graph-organized discourse state11
Concept drift detection and accelerated convergence of online learning11
A two-way dense feature pyramid networks for object detection of remote sensing images10
A combined approach for improving humanoid robots autonomous cognitive capabilities10
An efficient joint framework for interacting knowledge graph and item recommendation10
A novel image denoising algorithm combining attention mechanism and residual UNet network10
Large-scale underwater fish recognition via deep adversarial learning10
Enhancing classification accuracy through feature extraction: a comparative study of discretization and clustering approaches on sensor-based datasets10
DyFT: a dynamic similarity search method on integer sketches10
MG2Vec+: A multi-headed graph attention network for multigraph embedding10
Empirical comparison of supervised learning techniques for missing value imputation10
Range control-based class imbalance and optimized granular elastic net regression feature selection for credit risk assessment10
Graph relation embedding network for click-through rate prediction10
A representation learning model based on stochastic perturbation and homophily constraint9
Determining maximum cliques for community detection in weighted sparse networks9
IFM-RCNN: a hybrid text classifier with enhanced performance of binary drug classification from tweets using improved faster mask-recurrent convolutional neural network9
Node classification across networks via category-level domain adaptive network embedding9
Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection9
AQUA+: Query Optimization for Hybrid Database-MapReduce System9
Graph theory-based mathematical modeling and analysis to predict a football dream team9
Identifying influential nodes based on new layer metrics and layer weighting in multiplex networks8
Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys8
Enhancing Multi-Attribute Similarity Join using Reduced and Adaptive Index Trees8
A new method of ensemble learning: case of cryptocurrency price prediction8
A survey on mining and analysis of uncertain graphs8
Partial-order-based process mining: a survey and outlook8
Mixed membership distribution-free model8
A Rényi-type quasimetric with random interference detection8
Ontology extension with NLP-based concept extraction for domain experts in catalytic sciences8
On measuring network robustness for weighted networks8
Joint knowledge graph approach for event participant prediction with social media retweeting8
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging8
Relational multi-scale metric learning for few-shot knowledge graph completion8
Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages7
Knowledge-aware user multi-interest modeling method for news recommendation7
An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer7
Information extraction from electronic medical documents: state of the art and future research directions7
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach7
Parity-based cumulative fairness-aware boosting7
An efficient rumor detection model based on deep learning and flower pollination algorithm7
Data stream classification with novel class detection: a review, comparison and challenges7
Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information7
Feature-blind fairness in collaborative filtering recommender systems7
Review on novelty detection in the non-stationary environment7
Knowledge-graph-driven environmental monitoring with cross-regions knowledge transfer7
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model7
Interpretable tabular data generation7
BertHANK: hierarchical attention networks with enhanced knowledge and pre-trained model for answer selection7
Location selection by multi-criteria decision-making methods based on objective and subjective weightings7
Disentangling interest and conformity for eliminating popularity bias in session-based recommendation6
Collaborative filtering recommender systems taxonomy6
Fast data-free model compression via dictionary-pair reconstruction6
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets6
From distributed machine learning to federated learning: a survey6
High utility itemset mining in data stream using elephant herding optimization6
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification6
Large-scale knowledge graph representation learning6
Near-optimal Steiner tree computation powered by node embeddings6
Probabilistic graph model and neural network perspective of click models for web search6
An efficient approach for incremental erasable utility pattern mining from non-binary data6
Correction: Estimating time series averages from latent space of multi-tasking neural networks6
LightCapsGNN: light capsule graph neural network for graph classification6
A systematic construction of non-i.i.d. data sets from a single data set: non-identically distributed data6
GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition6
Federated cross-domain recommendation system based on bias eliminator and personalized extractor6
Partially ordered stochastic conformance checking6
AdaCC: cumulative cost-sensitive boosting for imbalanced classification6
Deep reinforcement learning for community architectural layout generation6
Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model5
Compact lossy compression of tensors via neural tensor-train decomposition5
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams5
Optimal online time-series segmentation5
Top-k approximate selection for typicality query results over spatio-textual data5
A graph partitioning-based hybrid feature selection method in microarray datasets5
CETra: online cluster tracking for clustering of streaming data sources5
Emerging skycube5
An introduction to collaborative filtering through the lens of the Netflix Prize5
CP-nets-based user preference learning in automated negotiation through completion and correction5
Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis5
Text classification using embeddings: a survey5
Grier: graph repairing based on iterative embedding and rules5
Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification5
LmGa: Combining label mapping method with graph attention network for agricultural recognition5
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering5
Meta-heuristic endured deep learning model for big data classification: image analytics5
Bidirectional network-based relational triple extraction with prior relation mechanism5
Emotions in recommender systems for discrepant-users5
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning5
Neural networks for model-free and scale-free automated planning5
Supervised kernel-based multi-modal Bhattacharya distance learning for imbalanced data classification5
Self-supervised re-identification for online joint multi-object tracking5
HGSMAP: a novel heterogeneous graph-based associative percept framework for scenario-based optimal model assignment5
Machine learning and metaheuristic optimization algorithms for feature selection and botnet attack detection5
Separation axioms in fuzzy multiset topological spaces5
ProAID: path-based reasoning for self-attentional disease prediction4
Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions4
Weight masking in image classification networks: class-specific machine unlearning4
Entity integrity management under data volume, variety and veracity4
PPNW: personalized pairwise novelty loss weighting for novel recommendation4
Feature selection techniques for machine learning: a survey of more than two decades of research4
Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning4
Discovering fortress-like cohesive subgraphs4
Density of states for fast embedding node-attributed graphs4
Extensible ontology-based views for business process models4
DORIC: discovering topological relations based on spatial link composition4
Advanced agronomics model with species classification, minimum support price prediction, and profit suggestion using enhanced deep learning strategy4
Provably accurate and scalable linear classifiers in hyperbolic spaces4
Paired k-NN learners with dynamically adjusted number of neighbors for classification of drifting data streams4
Causal inference for time series analysis: problems, methods and evaluation4
Growth patterns and models of real-world hypergraphs4
Few-shot partial multi-label learning with synthetic features network4
FoodRecNet: a comprehensively personalized food recommender system using deep neural networks4
A visual programming tool for mobile web augmentation4
Robust and fast low-rank deep convolutional feature recovery: toward information retention and accelerated convergence4
Evaluation of information diffusion path based on a multi-topic relationship strength network4
SABeDM: a sliding adaptive beta distribution model for concept drift detection in a dynamic environment4
Powered Dirichlet–Hawkes process: challenging textual clustering using a flexible temporal prior4
Interactive reinforced feature selection with traverse strategy4
Visionary: a framework for analysis and visualization of provenance data4
A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data4
An overview of high utility itemsets mining methods based on intelligent optimization algorithms3
Group decision-making with interval multiplicative preference relations3
Cross- and multiple-domains visual transfer learning via iterative Fischer linear discriminant analysis3
Adaptive weighted least squares regression for subspace clustering3
FLGT: label-flipping-robust federated learning via guiding trust3
Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios3
Data management in digital twins: a systematic literature review3
Metro passengers counting and density estimation via dilated-transposed fully convolutional neural network3
A hash-based index for processing frequent updates and continuous location-based range queries3
Efficient multi-attribute precedence-based task scheduling for edge computing in geo-distributed cloud environment3
An experimental analysis on evolutionary ontology meta-matching3
A black-box model for predicting difficulty of word puzzle games: a case study of Wordle3
Influential users identification under the non-progressive LTIRS model3
A dynamic density-based clustering method based on K-nearest neighbor3
Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels3
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs3
Kernel-based iVAT with adaptive cluster extraction3
Read to grow: exploring metadata of books to make intriguing book recommendations for teenage readers3
A jointly non-cooperative game-based offloading and dynamic service migration approach in mobile edge computing3
Sentiment analysis of tweets using text and graph multi-views learning3
MIN: multi-dimensional interest network for click-through rate prediction3
On-grid and off-grid photovoltaic systems forecasting using a hybrid meta-learning method3
An adversarial-example generation method for Chinese sentiment tendency classification based on audiovisual confusion and contextual association3
Towards a taxonomy for business capabilities determining data value3
A novel scheme to detect the best cloud service provider using logarithmic operational law in generalized spherical fuzzy environment3
Novelets: a new primitive that allows online detection of emerging behaviors in time series3
CHEKG: a collaborative and hybrid methodology for engineering modular and fair domain-specific knowledge graphs3
An efficient deep learning framework for occlusion face prediction system3
Noise-free sampling with majority framework for an imbalanced classification problem3
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments3
Selectivity estimation with density-model-based multidimensional histogram3
Artificial intelligence in the battle against disinformation and misinformation: a systematic review of challenges and approaches3
Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks3
Community-aware graph embedding via multi-level attribute integration3
Deep reinforcement learning-based resource allocation and seamless handover in multi-access edge computing based on SDN3
Self-supervised role learning for graph neural networks3
Efficient discovery of co-location patterns from massive spatial datasets with or without rare features3
Evaluating the impact of drift detection mechanisms on stock market forecasting3
Multi-behavior-based graph contrastive learning recommendation3
Optimized neural attention mechanism for aspect-based sentiment analysis framework with optimal polarity-based weighted features3
Exploiting spatial relations for grammar-based specification of multidimensional languages3
Kernel-based regression via a novel robust loss function and iteratively reweighted least squares3
Self-paced annotations of crowd workers3
Framework for scoring the scientific reputation of researchers3
Unifying Faceted Search and Analytics over RDF Knowledge Graphs3
Tri-XGBoost model improved by BLSmote-ENN: an interpretable semi-supervised approach for addressing bankruptcy prediction3
JMFEEL-Net: a joint multi-scale feature enhancement and lightweight transformer network for crowd counting3
A novel ensemble label propagation with hierarchical weighting for semi-supervised learning3
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