Knowledge and Information Systems

Papers
(The TQCC of Knowledge and Information Systems is 4. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Model complexity of deep learning: a survey183
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond143
From distributed machine learning to federated learning: a survey126
Causal inference for time series analysis: problems, methods and evaluation52
New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach51
Conversational question answering: a survey47
Applications of deep learning for phishing detection: a systematic literature review43
Feature selection techniques for machine learning: a survey of more than two decades of research42
Imbalanced data preprocessing techniques for machine learning: a systematic mapping study41
e-Recruitment recommender systems: a systematic review39
Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO38
Hepatitis C Virus prediction based on machine learning framework: a real-world case study in Egypt37
Collaborative filtering recommender systems taxonomy35
Information extraction from electronic medical documents: state of the art and future research directions34
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams29
Location selection by multi-criteria decision-making methods based on objective and subjective weightings27
Generalized maximal utility for mining high average-utility itemsets25
RELINE: point-of-interest recommendations using multiple network embeddings24
A survey on extraction of causal relations from natural language text23
Fire now, fire later: alarm-based systems for prescriptive process monitoring23
Data stream classification with novel class detection: a review, comparison and challenges23
Adapting k-means for graph clustering22
Auto-labelling entities in low-resource text: a geological case study22
Modified marine predators algorithm for feature selection: case study metabolomics21
A hybrid neural network approach to combine textual information and rating information for item recommendation21
Attentive multi-task learning for group itinerary recommendation21
A review on matrix completion for recommender systems21
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks20
Large-scale underwater fish recognition via deep adversarial learning20
A study on using data clustering for feature extraction to improve the quality of classification19
Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search19
Data pricing in machine learning pipelines18
Deep learning-based question answering: a survey18
An overview of cluster-based image search result organization: background, techniques, and ongoing challenges17
An improved item-based collaborative filtering using a modified Bhattacharyya coefficient and user–user similarity as weight17
Cybersecurity knowledge graphs16
Empirical comparison of supervised learning techniques for missing value imputation16
A survey of automated data augmentation algorithms for deep learning-based image classification tasks16
BestNeighbor: efficient evaluation of kNN queries on large time series databases16
Learning to hash: a comprehensive survey of deep learning-based hashing methods16
A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances15
Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification14
Efficient itinerary recommendation via personalized POI selection and pruning14
Data management in digital twins: a systematic literature review14
How do I update my model? On the resilience of Predictive Process Monitoring models to change13
Knowledge distillation for BERT unsupervised domain adaptation13
Partial multi-label learning with noisy side information13
Named entity disambiguation in short texts over knowledge graphs13
Deep reinforcement learning-based resource allocation and seamless handover in multi-access edge computing based on SDN13
Feature extraction for chart pattern classification in financial time series12
Determining maximum cliques for community detection in weighted sparse networks12
Comment on “New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach”12
Text classification using embeddings: a survey12
Eight years of AutoML: categorisation, review and trends11
HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG11
An overview of high utility itemsets mining methods based on intelligent optimization algorithms11
Performance evaluation of machine learning for fault selection in power transmission lines11
Scholarly recommendation systems: a literature survey11
Improving spectral clustering with deep embedding, cluster estimation and metric learning11
Community detection combining topology and attribute information11
Mining dynamic preferences from geographical and interactive correlations for next POI recommendation11
Partial-order-based process mining: a survey and outlook11
An EEG-based subject-independent emotion recognition model using a differential-evolution-based feature selection algorithm10
Learning from crowds with decision trees10
Elastic similarity and distance measures for multivariate time series10
A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis10
Distributed real-time ETL architecture for unstructured big data10
Diagnostic captioning: a survey10
Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing10
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect10
Aspect and orientation-based sentiment analysis of customer feedback using mathematical optimization models9
Expert-driven trace clustering with instance-level constraints9
Semantic-driven multi-camera pedestrian detection9
Saliency-based YOLO for single target detection9
A survey of continuous subgraph matching for dynamic graphs9
Information extraction pipelines for knowledge graphs9
Logical design of multi-model data warehouses9
Advancing synthesis of decision tree-based multiple classifier systems: an approximate computing case study9
Specifying and computing causes for query answers in databases via database repairs and repair-programs9
NAG: neural feature aggregation framework for credit card fraud detection9
A prediction model of student performance based on self-attention mechanism9
Falcon: lightweight and accurate convolution based on depthwise separable convolution9
The impact of prior knowledge on causal structure learning8
Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis8
Improving security in NoSQL document databases through model-driven modernization8
A review and evaluation of elastic distance functions for time series clustering8
Incremental communication patterns in online social groups8
Modeling and predicting students’ engagement behaviors using mixture Markov models8
FoodRecNet: a comprehensively personalized food recommender system using deep neural networks8
Word and graph attention networks for semi-supervised classification8
Learning from evolving data streams through ensembles of random patches8
An integrated approach using IF-TOPSIS, fuzzy DEMATEL, and enhanced CSA optimized ANFIS for software risk prediction8
Dynamic ensemble selection classification algorithm based on window over imbalanced drift data stream8
Analysis and price prediction of cryptocurrencies for historical and live data using ensemble-based neural networks8
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification8
Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches8
Efficient unsupervised drift detector for fast and high-dimensional data streams8
Transfer learning for fine-grained entity typing7
A review of clique-based overlapping community detection algorithms7
Random pairwise shapelets forest: an effective classifier for time series7
Efficient discovery of co-location patterns from massive spatial datasets with or without rare features7
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging7
COOT optimization algorithm on training artificial neural networks7
Short isometric shapelet transform for binary time series classification7
Context mining and graph queries on giant biomedical knowledge graphs7
Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings7
Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media7
EDU-Capsule: aspect-based sentiment analysis at clause level7
An evidence-based credit evaluation ensemble framework for online retail SMEs7
A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification7
Ensemble of classifier chains and decision templates for multi-label classification7
Disentangling interest and conformity for eliminating popularity bias in session-based recommendation7
A novel scheme to detect the best cloud service provider using logarithmic operational law in generalized spherical fuzzy environment6
Mining discriminative itemsets in data streams using the tilted-time window model6
Matching heterogeneous ontologies based on multi-strategy adaptive co-firefly algorithm6
GradeAid: a framework for automatic short answers grading in educational contexts—design, implementation and evaluation6
Collaboration prediction in heterogeneous academic network with dynamic structure and topic6
Attributed community search considering community focusing and latent relationship6
Distributed processing of regular path queries in RDF graphs6
Kernel-based regression via a novel robust loss function and iteratively reweighted least squares6
A new method of ensemble learning: case of cryptocurrency price prediction6
Robust multi-label feature selection with shared label enhancement6
Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques6
A survey on rumor detection and prevention in social media using deep learning6
On entropy-based term weighting schemes for text categorization6
Anomaly detection in the context of long-term cloud resource usage planning6
Visionary: a framework for analysis and visualization of provenance data6
Trusting deep learning natural-language models via local and global explanations6
Climate modeling with neural advection–diffusion equation6
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations6
Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization6
A new approach to neutrosophic soft rough sets5
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering5
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection5
Group decision-making with interval multiplicative preference relations5
RDF-Gen: generating RDF triples from big data sources5
Interpretable tabular data generation5
A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach5
OpenWGL: open-world graph learning for unseen class node classification5
Improved incremental local outlier detection for data streams based on the landmark window model5
A streaming edge sampling method for network visualization5
Isomorphic encryption and coupled ANN with Mealy machine: a cutting edge data security model for cloud computing environment5
A word embedding-based approach to cross-lingual topic modeling5
Collaboratively weighted naive Bayes5
Statistical model for reproducibility in ranking-based feature selection5
PGT: news recommendation coalescing personal and global temporal preferences5
Multi-layer linear embedding with feature subset selection5
Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning5
Missing value estimation of microarray data using Sim-GAN5
A framework for personalized recommendation with conditional generative adversarial networks5
3-3FS: ensemble method for semi-supervised multi-label feature selection5
A repairing missing activities approach with succession relation for event logs5
Microaneurysms detection in fundus images using local Fourier transform and neighbourhood analysis5
Privacy protection of user profiles in online search via semantic randomization5
Growth patterns and models of real-world hypergraphs5
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model5
Closed form word embedding alignment5
Conversation and recommendation: knowledge-enhanced personalized dialog system5
Unsupervised model for aspect categorization and implicit aspect extraction5
DSIM: dynamic and static interest mining for sequential recommendation5
Complex Attributed Network Embedding for medical complication prediction5
Relational metric learning with high-order neighborhood interactions for social recommendation4
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs4
Garden: a real-time processing framework for continuous top-k trajectory similarity search4
Federated search techniques: an overview of the trends and state of the art4
Chinese adversarial examples generation approach with multi-strategy based on semantic4
A systematic construction of non-i.i.d. data sets from a single data set: non-identically distributed data4
Fuzzy modified cuckoo search for biomedical image segmentation4
A novel cluster-based approach for keyphrase extraction from MOOC video lectures4
Dealing with heterogeneity in the context of distributed feature selection for classification4
Efficient multi-attribute precedence-based task scheduling for edge computing in geo-distributed cloud environment4
S-RAP: relevance-aware QoS prediction in web-services and user contexts4
Improvements on approximation algorithms for clustering probabilistic data4
Structure-aware attributed heterogeneous network embedding4
Neural TV program recommendation with heterogeneous attention4
An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer4
A study into patient similarity through representation learning from medical records4
Fairness in graph-based semi-supervised learning4
Advanced ambient air quality prediction through weighted feature selection and improved reptile search ensemble learning4
Metro passengers counting and density estimation via dilated-transposed fully convolutional neural network4
Toward data-driven solutions to interactive dynamic influence diagrams4
Concept drift detection and accelerated convergence of online learning4
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting4
An efficient joint framework for interacting knowledge graph and item recommendation4
A study of approaches to answering complex questions over knowledge bases4
Scalable force-directed graph representation learning and visualization4
Physics-guided machine learning from simulated data with different physical parameters4
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