Knowledge and Information Systems

Article	Citations
Model complexity of deep learning: a survey	129
Pythagorean fuzzy MULTIMOORA method based on distance measure and score function: its application in multicriteria decision making process	121
From distributed machine learning to federated learning: a survey	86
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond	76
Causal inference for time series analysis: problems, methods and evaluation	40
EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data	38
Applications of deep learning for phishing detection: a systematic literature review	35
A POI recommendation approach integrating social spatio-temporal information into probabilistic matrix factorization	32
Multi-objective Bonobo Optimizer (MOBO): an intelligent heuristic for multi-criteria optimization	31
New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach	30
e-Recruitment recommender systems: a systematic review	29
Conversational question answering: a survey	29
Label similarity-based weighted soft majority voting and pairing for crowdsourcing	27
Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO	27
Deep end-to-end learning for price prediction of second-hand items	25
Sentiment lexicons and non-English languages: a survey	25
Collaborative filtering recommender systems taxonomy	24
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams	23
Imbalanced data preprocessing techniques for machine learning: a systematic mapping study	22
Auto-labelling entities in low-resource text: a geological case study	21
Fire now, fire later: alarm-based systems for prescriptive process monitoring	21
RELINE: point-of-interest recommendations using multiple network embeddings	21
Information extraction from electronic medical documents: state of the art and future research directions	20
Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set	20
Adapting k-means for graph clustering	19

A review on matrix completion for recommender systems	18
Adversarially regularized medication recommendation model with multi-hop memory network	18
Generalized maximal utility for mining high average-utility itemsets	18
A hybrid neural network approach to combine textual information and rating information for item recommendation	18
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks	18
Location selection by multi-criteria decision-making methods based on objective and subjective weightings	18
Modified marine predators algorithm for feature selection: case study metabolomics	18
Attentive multi-task learning for group itinerary recommendation	17
Hashtag recommendation for short social media texts using word-embeddings and external knowledge	17
An overview of cluster-based image search result organization: background, techniques, and ongoing challenges	16
Data stream classification with novel class detection: a review, comparison and challenges	16
CANE: community-aware network embedding via adversarial training	15
A descriptive framework for the field of knowledge management	15
Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search	15
A survey on extraction of causal relations from natural language text	15
Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt	14
A scalable and effective rough set theory-based approach for big data pre-processing	14
Rule extraction from neural network trained using deep belief network and back propagation	14
A study on using data clustering for feature extraction to improve the quality of classification	13
A relative position attention network for aspect-based sentiment analysis	13
Empirical comparison of supervised learning techniques for missing value imputation	13
BestNeighbor: efficient evaluation of kNN queries on large time series databases	13
A survey on context awareness in big data analytics for business applications	13
Named entity disambiguation in short texts over knowledge graphs	12
Determining maximum cliques for community detection in weighted sparse networks	12
Tell me something my friends do not know: diversity maximization in social networks	12
Learning to hash: a comprehensive survey of deep learning-based hashing methods	12
An improved item-based collaborative filtering using a modified Bhattacharyya coefficient and user–user similarity as weight	12
Large-scale underwater fish recognition via deep adversarial learning	12
Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification	11
Deep reinforcement learning-based resource allocation and seamless handover in multi-access edge computing based on SDN	11
How do I update my model? On the resilience of Predictive Process Monitoring models to change	11
A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances	11
Partial multi-label learning with noisy side information	11
Learning from crowds with decision trees	10
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect	10
Efficient itinerary recommendation via personalized POI selection and pruning	10
Saliency-based YOLO for single target detection	9
Partial-order-based process mining: a survey and outlook	9
Comment on “New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach”	9
A survey of automated data augmentation algorithms for deep learning-based image classification tasks	9
Performance evaluation of machine learning for fault selection in power transmission lines	9
An efficient projection-based method for high utility itemset mining using a novel pruning approach on the utility matrix	9
Feature extraction for chart pattern classification in financial time series	8
Advancing synthesis of decision tree-based multiple classifier systems: an approximate computing case study	8
Empower rumor events detection from Chinese microblogs with multi-type individual information	8
Modeling, learning, and simulating human activities of daily living with behavior trees	8
Improving security in NoSQL document databases through model-driven modernization	8
Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing	8
HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG	8

Bag of biterms modeling for short texts	8
Data pricing in machine learning pipelines	8
Deep learning-based question answering: a survey	8
Specifying and computing causes for query answers in databases via database repairs and repair-programs	8
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation	8
Distributed real-time ETL architecture for unstructured big data	7
Modeling and predicting students’ engagement behaviors using mixture Markov models	7
Improving spectral clustering with deep embedding, cluster estimation and metric learning	7
Diagnostic captioning: a survey	7
Multiscale Laplacian graph kernel combined with lexico-syntactic patterns for biomedical event extraction from literature	7
NAG: neural feature aggregation framework for credit card fraud detection	7
Community detection combining topology and attribute information	7
Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis	7
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging	7
Expert-driven trace clustering with instance-level constraints	7
Word and graph attention networks for semi-supervised classification	7
Efficient unsupervised drift detector for fast and high-dimensional data streams	7
Incremental communication patterns in online social groups	7
A fuzzy-AHP-based approach to select software architecture based on quality attributes (FASSA)	7
Decision model change patterns for dynamic system evolution	7
Knowledge distillation for BERT unsupervised domain adaptation	7
Information extraction pipelines for knowledge graphs	7
Cybersecurity knowledge graphs	7
Transfer learning for fine-grained entity typing	6
An evidence-based credit evaluation ensemble framework for online retail SMEs	6
Trusting deep learning natural-language models via local and global explanations	6
Short isometric shapelet transform for binary time series classification	6
Efficient discovery of co-location patterns from massive spatial datasets with or without rare features	6
Learning credible DNNs via incorporating prior knowledge and model local explanation	6
Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media	6
Elastic similarity and distance measures for multivariate time series	6
Learning from evolving data streams through ensembles of random patches	6
Attributed community search considering community focusing and latent relationship	6
Random pairwise shapelets forest: an effective classifier for time series	6
FoodRecNet: a comprehensively personalized food recommender system using deep neural networks	6
Dynamic ensemble selection classification algorithm based on window over imbalanced drift data stream	6
Survival neural networks for time-to-event prediction in longitudinal study	6
An EEG-based subject-independent emotion recognition model using a differential-evolution-based feature selection algorithm	6
A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis	6
A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification	6
Distributed processing of regular path queries in RDF graphs	6
Scholarly recommendation systems: a literature survey	6
Visionary: a framework for analysis and visualization of provenance data	6
Mining discriminative itemsets in data streams using the tilted-time window model	6
Service cost-based resource optimization and load balancing for edge and cloud environment	5
DSIM: dynamic and static interest mining for sequential recommendation	5
Transferring trading strategy knowledge to deep learning models	5
An integrated approach using IF-TOPSIS, fuzzy DEMATEL, and enhanced CSA optimized ANFIS for software risk prediction	5
An overview of high utility itemsets mining methods based on intelligent optimization algorithms	5
Data management in digital twins: a systematic literature review	5
Aspect and orientation-based sentiment analysis of customer feedback using mathematical optimization models	5
Discovery of evolving companion from trajectory data streams	5
Complex Attributed Network Embedding for medical complication prediction	5
Big high-dimension data cube designs for hybrid memory systems	5
On entropy-based term weighting schemes for text categorization	5
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering	5
A novel scheme to detect the best cloud service provider using logarithmic operational law in generalized spherical fuzzy environment	5
Context mining and graph queries on giant biomedical knowledge graphs	5
PGT: news recommendation coalescing personal and global temporal preferences	5
Closed form word embedding alignment	5
Robust multi-label feature selection with shared label enhancement	5
Efficient computation of the convex hull on sets of points stored in a k-tree compact data structure	5
Semantic-driven multi-camera pedestrian detection	5
Logical design of multi-model data warehouses	5
A prediction model of student performance based on self-attention mechanism	5
A systematic survey on collaborator finding systems in scientific social networks	5
Enhancing unsupervised domain adaptation by discriminative relevance regularization	5
Multi-layer linear embedding with feature subset selection	5
Dealing with heterogeneity in the context of distributed feature selection for classification	4
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification	4
RDF-Gen: generating RDF triples from big data sources	4
Eight years of AutoML: categorisation, review and trends	4
A framework for personalized recommendation with conditional generative adversarial networks	4
Falcon: lightweight and accurate convolution based on depthwise separable convolution	4
A repairing missing activities approach with succession relation for event logs	4
Coverage-based query subtopic diversification leveraging semantic relevance	4
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks	4
Fisher-regularized supervised and semi-supervised extreme learning machine	4
Group decision-making with interval multiplicative preference relations	4
Kernel-based regression via a novel robust loss function and iteratively reweighted least squares	4

Text classification using embeddings: a survey	4
Disentangling interest and conformity for eliminating popularity bias in session-based recommendation	4
3-3FS: ensemble method for semi-supervised multi-label feature selection	4
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model	4
Missing value estimation of microarray data using Sim-GAN	4
A streaming edge sampling method for network visualization	4
An experimental study of graph-based semi-supervised classification with additional node information	4
Collaboration prediction in heterogeneous academic network with dynamic structure and topic	4
A review of clique-based overlapping community detection algorithms	4
A survey of continuous subgraph matching for dynamic graphs	4
Learning sequence-to-sequence affinity metric for near-online multi-object tracking	4
Privacy protection of user profiles in online search via semantic randomization	4
Metro passengers counting and density estimation via dilated-transposed fully convolutional neural network	4
Efficient multi-attribute precedence-based task scheduling for edge computing in geo-distributed cloud environment	4
Growth patterns and models of real-world hypergraphs	4
A novel cluster-based approach for keyphrase extraction from MOOC video lectures	4
Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques	4
Improved incremental local outlier detection for data streams based on the landmark window model	4
A survey on rumor detection and prevention in social media using deep learning	4
A word embedding-based approach to cross-lingual topic modeling	4
SNOWL model: social networks unification-based semantic data integration	4
OpenWGL: open-world graph learning for unseen class node classification	4
“Just-in-time” generation of datasets by considering structured representations of given consent for GDPR compliance	4
Collaboratively weighted naive Bayes	4
Statistical model for reproducibility in ranking-based feature selection	4
Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization	3
Fast LSTM by dynamic decomposition on cloud and distributed systems	3
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs	3
Ensemble of classifier chains and decision templates for multi-label classification	3
AKUPP: attention-enhanced joint propagation of knowledge and user preference for recommendation systems	3
An efficient joint framework for interacting knowledge graph and item recommendation	3
Matching heterogeneous ontologies based on multi-strategy adaptive co-firefly algorithm	3
Fairness in graph-based semi-supervised learning	3
Deep graph transformation for attributed, directed, and signed networks	3
Unifying community detection and network embedding in attributed networks	3
Tracking triadic cardinality distributions for burst detection in high-speed graph streams	3
GradeAid: a framework for automatic short answers grading in educational contexts—design, implementation and evaluation	3
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting	3
Multi-objective covering salesman problem: a decomposition approach using grey wolf optimization	3
Warped softmax regression for time series classification	3
Physics-guided machine learning from simulated data with different physical parameters	3
PPNW: personalized pairwise novelty loss weighting for novel recommendation	3
Exploring the collective human behavior in cascading systems: a comprehensive framework	3
Computing top-k temporal closeness in temporal networks	3
Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings	3
Toward data-driven solutions to interactive dynamic influence diagrams	3
Concept drift detection and accelerated convergence of online learning	3
S-RAP: relevance-aware QoS prediction in web-services and user contexts	3
Cross-domain recommender system using generalized canonical correlation analysis	3
A review and evaluation of elastic distance functions for time series clustering	3
Improvements on approximation algorithms for clustering probabilistic data	3
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection	3
The impact of prior knowledge on causal structure learning	3
A joint optimization framework for better community detection based on link prediction in social networks	3
Self-supervised role learning for graph neural networks	3
Conversation and recommendation: knowledge-enhanced personalized dialog system	3
A survey on mining and analysis of uncertain graphs	3
Unsupervised model for aspect categorization and implicit aspect extraction	3
Interpretable tabular data generation	3
Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization	3
Learning diffusion model-free and efficient influence function for influence maximization from information cascades	3
A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach	3
Risk-aware temporal cascade reconstruction to detect asymptomatic cases	3
A new approach to neutrosophic soft rough sets	3
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations	3
An experimental analysis on evolutionary ontology meta-matching	2
An integrated framework for diagnosing process faults with incomplete features	2
An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer	2
Scalable force-directed graph representation learning and visualization	2
User view dynamic graph-driven sequential recommendation	2
Fuzzy modified cuckoo search for biomedical image segmentation	2
Enhanced U-Net segmentation with ensemble convolutional neural network for automated skin disease classification	2
Open dataset discovery using context-enhanced similarity search	2
Autonomous graph mining algorithm search with best performance trade-off	2
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning	2
Extensible ontology-based views for business process models	2
Structure-aware attributed heterogeneous network embedding	2
Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages	2
Learning cell embeddings for understanding table layouts	2
Precise temporal slot filling via truth finding with data-driven commonsense	2
Deep dynamic neural networks for temporal language modeling in author communities	2
Recommender Systems in Cybersecurity	2
Geometric consistency of triangular fuzzy multiplicative preference relation and its application to group decision making	2
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem	2
Adaptive weighted least squares regression for subspace clustering	2
Incremental one-class collaborative filtering with co-evolving side networks	2
Anomaly detection in the context of long-term cloud resource usage planning	2
Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys	2
Feature-blind fairness in collaborative filtering recommender systems	2
Bold driver and static restart fused adaptive momentum for visual question answering	2
Neural TV program recommendation with heterogeneous attention	2
Discovering dependencies with reliable mutual information	2
A study of approaches to answering complex questions over knowledge bases	2
A scalable framework for large time series prediction	2
Selectivity estimation with density-model-based multidimensional histogram	2