Knowledge and Information Systems

Article	Citations
Model complexity of deep learning: a survey	183
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond	143
From distributed machine learning to federated learning: a survey	126
Causal inference for time series analysis: problems, methods and evaluation	52
New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach	51
Conversational question answering: a survey	47
Applications of deep learning for phishing detection: a systematic literature review	43
Feature selection techniques for machine learning: a survey of more than two decades of research	42
Imbalanced data preprocessing techniques for machine learning: a systematic mapping study	41
e-Recruitment recommender systems: a systematic review	39
Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO	38
Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt	37
Collaborative filtering recommender systems taxonomy	35
Information extraction from electronic medical documents: state of the art and future research directions	34
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams	29
Location selection by multi-criteria decision-making methods based on objective and subjective weightings	27
Generalized maximal utility for mining high average-utility itemsets	25
RELINE: point-of-interest recommendations using multiple network embeddings	24
Data stream classification with novel class detection: a review, comparison and challenges	23
A survey on extraction of causal relations from natural language text	23
Fire now, fire later: alarm-based systems for prescriptive process monitoring	23
Auto-labelling entities in low-resource text: a geological case study	22
Adapting k-means for graph clustering	22
A review on matrix completion for recommender systems	21
Modified marine predators algorithm for feature selection: case study metabolomics	21

A hybrid neural network approach to combine textual information and rating information for item recommendation	21
Attentive multi-task learning for group itinerary recommendation	21
Large-scale underwater fish recognition via deep adversarial learning	20
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks	20
Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search	19
A study on using data clustering for feature extraction to improve the quality of classification	19
Data pricing in machine learning pipelines	18
Deep learning-based question answering: a survey	18
An overview of cluster-based image search result organization: background, techniques, and ongoing challenges	17
An improved item-based collaborative filtering using a modified Bhattacharyya coefficient and user–user similarity as weight	17
Cybersecurity knowledge graphs	16
Empirical comparison of supervised learning techniques for missing value imputation	16
A survey of automated data augmentation algorithms for deep learning-based image classification tasks	16
BestNeighbor: efficient evaluation of kNN queries on large time series databases	16
Learning to hash: a comprehensive survey of deep learning-based hashing methods	16
A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances	15
Data management in digital twins: a systematic literature review	14
Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification	14
Efficient itinerary recommendation via personalized POI selection and pruning	14
Named entity disambiguation in short texts over knowledge graphs	13
Deep reinforcement learning-based resource allocation and seamless handover in multi-access edge computing based on SDN	13
How do I update my model? On the resilience of Predictive Process Monitoring models to change	13
Knowledge distillation for BERT unsupervised domain adaptation	13
Partial multi-label learning with noisy side information	13
Text classification using embeddings: a survey	12
Feature extraction for chart pattern classification in financial time series	12
Determining maximum cliques for community detection in weighted sparse networks	12
Comment on “New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach”	12
Community detection combining topology and attribute information	11
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation	11
Partial-order-based process mining: a survey and outlook	11
Eight years of AutoML: categorisation, review and trends	11
HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG	11
An overview of high utility itemsets mining methods based on intelligent optimization algorithms	11
Performance evaluation of machine learning for fault selection in power transmission lines	11
Scholarly recommendation systems: a literature survey	11
Improving spectral clustering with deep embedding, cluster estimation and metric learning	11
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect	10
An EEG-based subject-independent emotion recognition model using a differential-evolution-based feature selection algorithm	10
Learning from crowds with decision trees	10
Elastic similarity and distance measures for multivariate time series	10
A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis	10
Distributed real-time ETL architecture for unstructured big data	10
Diagnostic captioning: a survey	10
Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing	10
NAG: neural feature aggregation framework for credit card fraud detection	9
A prediction model of student performance based on self-attention mechanism	9
Falcon: lightweight and accurate convolution based on depthwise separable convolution	9
Aspect and orientation-based sentiment analysis of customer feedback using mathematical optimization models	9
Expert-driven trace clustering with instance-level constraints	9

Semantic-driven multi-camera pedestrian detection	9
Saliency-based YOLO for single target detection	9
A survey of continuous subgraph matching for dynamic graphs	9
Information extraction pipelines for knowledge graphs	9
Logical design of multi-model data warehouses	9
Advancing synthesis of decision tree-based multiple classifier systems: an approximate computing case study	9
Specifying and computing causes for query answers in databases via database repairs and repair-programs	9
Word and graph attention networks for semi-supervised classification	8
Dynamic ensemble selection classification algorithm based on window over imbalanced drift data stream	8
Learning from evolving data streams through ensembles of random patches	8
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification	8
An integrated approach using IF-TOPSIS, fuzzy DEMATEL, and enhanced CSA optimized ANFIS for software risk prediction	8
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks	8
The impact of prior knowledge on causal structure learning	8
Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches	8
Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis	8
Efficient unsupervised drift detector for fast and high-dimensional data streams	8
Improving security in NoSQL document databases through model-driven modernization	8
Modeling and predicting students’ engagement behaviors using mixture Markov models	8
A review and evaluation of elastic distance functions for time series clustering	8
FoodRecNet: a comprehensively personalized food recommender system using deep neural networks	8
Incremental communication patterns in online social groups	8
Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings	7
Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media	7
EDU-Capsule: aspect-based sentiment analysis at clause level	7
An evidence-based credit evaluation ensemble framework for online retail SMEs	7
A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification	7
Ensemble of classifier chains and decision templates for multi-label classification	7
Disentangling interest and conformity for eliminating popularity bias in session-based recommendation	7
Transfer learning for fine-grained entity typing	7
A review of clique-based overlapping community detection algorithms	7
Random pairwise shapelets forest: an effective classifier for time series	7
Efficient discovery of co-location patterns from massive spatial datasets with or without rare features	7
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging	7
COOT optimization algorithm on training artificial neural networks	7
Short isometric shapelet transform for binary time series classification	7
Context mining and graph queries on giant biomedical knowledge graphs	7
Robust multi-label feature selection with shared label enhancement	6
Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques	6
A survey on rumor detection and prevention in social media using deep learning	6
On entropy-based term weighting schemes for text categorization	6
Anomaly detection in the context of long-term cloud resource usage planning	6
Visionary: a framework for analysis and visualization of provenance data	6
Trusting deep learning natural-language models via local and global explanations	6
Climate modeling with neural advection–diffusion equation	6
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations	6
Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization	6
A novel scheme to detect the best cloud service provider using logarithmic operational law in generalized spherical fuzzy environment	6
Mining discriminative itemsets in data streams using the tilted-time window model	6
Matching heterogeneous ontologies based on multi-strategy adaptive co-firefly algorithm	6
GradeAid: a framework for automatic short answers grading in educational contexts—design, implementation and evaluation	6
Collaboration prediction in heterogeneous academic network with dynamic structure and topic	6
Attributed community search considering community focusing and latent relationship	6
Distributed processing of regular path queries in RDF graphs	6
Kernel-based regression via a novel robust loss function and iteratively reweighted least squares	6
A new method of ensemble learning: case of cryptocurrency price prediction	6
Multi-layer linear embedding with feature subset selection	5
Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning	5
Missing value estimation of microarray data using Sim-GAN	5
A framework for personalized recommendation with conditional generative adversarial networks	5
3-3FS: ensemble method for semi-supervised multi-label feature selection	5
A repairing missing activities approach with succession relation for event logs	5
Microaneurysms detection in fundus images using local Fourier transform and neighbourhood analysis	5
Privacy protection of user profiles in online search via semantic randomization	5
Growth patterns and models of real-world hypergraphs	5
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model	5
Closed form word embedding alignment	5
Conversation and recommendation: knowledge-enhanced personalized dialog system	5
Unsupervised model for aspect categorization and implicit aspect extraction	5
DSIM: dynamic and static interest mining for sequential recommendation	5
Complex Attributed Network Embedding for medical complication prediction	5
A new approach to neutrosophic soft rough sets	5
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering	5
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection	5
Group decision-making with interval multiplicative preference relations	5
RDF-Gen: generating RDF triples from big data sources	5
Interpretable tabular data generation	5
A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach	5
OpenWGL: open-world graph learning for unseen class node classification	5
Improved incremental local outlier detection for data streams based on the landmark window model	5

A streaming edge sampling method for network visualization	5
Isomorphic encryption and coupled ANN with Mealy machine: a cutting edge data security model for cloud computing environment	5
A word embedding-based approach to cross-lingual topic modeling	5
Collaboratively weighted naive Bayes	5
Statistical model for reproducibility in ranking-based feature selection	5
PGT: news recommendation coalescing personal and global temporal preferences	5
An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer	4
Fairness in graph-based semi-supervised learning	4
S-RAP: relevance-aware QoS prediction in web-services and user contexts	4
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning	4
Improvements on approximation algorithms for clustering probabilistic data	4
Metro passengers counting and density estimation via dilated-transposed fully convolutional neural network	4
Neural TV program recommendation with heterogeneous attention	4
Concept drift detection and accelerated convergence of online learning	4
A study into patient similarity through representation learning from medical records	4
An efficient joint framework for interacting knowledge graph and item recommendation	4
Scalable force-directed graph representation learning and visualization	4
Toward data-driven solutions to interactive dynamic influence diagrams	4
Relational metric learning with high-order neighborhood interactions for social recommendation	4
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting	4
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs	4
A study of approaches to answering complex questions over knowledge bases	4
Federated search techniques: an overview of the trends and state of the art	4
Physics-guided machine learning from simulated data with different physical parameters	4
A systematic construction of non-i.i.d. data sets from a single data set: non-identically distributed data	4
A novel cluster-based approach for keyphrase extraction from MOOC video lectures	4
Garden: a real-time processing framework for continuous top-k trajectory similarity search	4
Dealing with heterogeneity in the context of distributed feature selection for classification	4
Chinese adversarial examples generation approach with multi-strategy based on semantic	4
Efficient multi-attribute precedence-based task scheduling for edge computing in geo-distributed cloud environment	4
Fuzzy modified cuckoo search for biomedical image segmentation	4
Structure-aware attributed heterogeneous network embedding	4
Adaptive weighted least squares regression for subspace clustering	3
Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization	3
Self-supervised role learning for graph neural networks	3
EcoLight+: a novel multi-modal data fusion for enhanced eco-friendly traffic signal control driven by urban traffic noise prediction	3
Smart COVIDNet: designing an IoT-based COVID-19 disease prediction framework using attentive and adaptive-derived ensemble deep learning	3
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation	3
Quality of interaction-based predictive model for support of online learning in pandemic situations	3
Tracking triadic cardinality distributions for burst detection in high-speed graph streams	3
A survey on mining and analysis of uncertain graphs	3
A graph-based solution for writer identification from handwritten text	3
Anytime mining of sequential discriminative patterns in labeled sequences	3
Meta-heuristic endured deep learning model for big data classification: image analytics	3
Bold driver and static restart fused adaptive momentum for visual question answering	3
Using topic-noise models to generate domain-specific topics across data sources	3
Enhancing multiple-choice question answering through sequential fine-tuning and Curriculum Learning strategies	3
Fast spatial autocorrelation	3
Computing top-k temporal closeness in temporal networks	3
An integrated framework for diagnosing process faults with incomplete features	3
An experimental analysis on evolutionary ontology meta-matching	3
Fairness with censorship and group constraints	3
A jointly non-cooperative game-based offloading and dynamic service migration approach in mobile edge computing	3
Toward fair graph neural networks via real counterfactual samples	3
AdaCC: cumulative cost-sensitive boosting for imbalanced classification	3
Bridging the gap between expressivity and efficiency in stream reasoning: a structural caching approach for IoT streams	3
Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys	3
Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study	3
A new fuzzy time series forecasting model based on clustering technique and normal fuzzy function	3
Ontology extension with NLP-based concept extraction for domain experts in catalytic sciences	3
DNETC: dynamic network embedding preserving both triadic closure evolution and community structures	3
Learning diffusion model-free and efficient influence function for influence maximization from information cascades	3
Temporal hypergraph motifs	3
SEHP: stacking-based ensemble learning on novel features for review helpfulness prediction	3
A survey on review summarization and sentiment classification	3
Feature importance measure of a multilayer perceptron based on the presingle-connection layer	3
Multi-objective covering salesman problem: a decomposition approach using grey wolf optimization	3
Matching news articles and wikipedia tables for news augmentation	3
Human activity recognition using fuzzy proximal support vector machine for multicategory classification	3
Selectivity estimation with density-model-based multidimensional histogram	3
AKUPP: attention-enhanced joint propagation of knowledge and user preference for recommendation systems	3
PPNW: personalized pairwise novelty loss weighting for novel recommendation	3
Identifying significant textual features in titles of Google play store applications and their influence on user review rating	3
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach	3
An improved confusion matrix for fusing multiple K-SVD classifiers	3
Exploiting bilingual lexicons to improve multilingual embedding-based document and sentence alignment for low-resource languages	3
Risk-aware temporal cascade reconstruction to detect asymptomatic cases	3
A hybrid clustering approach for link prediction in heterogeneous information networks	3
PPDU: dynamic graph publication with local differential privacy	3
GrAFCI+ A fast generator-based algorithm for mining frequent closed itemsets	3
Unifying community detection and network embedding in attributed networks	3
User view dynamic graph-driven sequential recommendation	3
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem	3
Enhanced U-Net segmentation with ensemble convolutional neural network for automated skin disease classification	3
Deep graph transformation for attributed, directed, and signed networks	3
Warped softmax regression for time series classification	3
Sentiment analysis of tweets using text and graph multi-views learning	2
Extensible ontology-based views for business process models	2
Feature-blind fairness in collaborative filtering recommender systems	2
Mining parallel sentences from internet with multi-view knowledge distillation for low-resource language pairs	2
On-grid and off-grid photovoltaic systems forecasting using a hybrid meta-learning method	2
Identifying influential nodes based on new layer metrics and layer weighting in multiplex networks	2
Span-based relational graph transformer network for aspect–opinion pair extraction	2
Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning	2
Parity-based cumulative fairness-aware boosting	2