From distributed machine learning to federated learning: a survey
Fast spatial autocorrelation
Feature-blind fairness in collaborative filtering recommender systems
Efficient itinerary recommendation via personalized POI selection and pruning
NeuCrowd: neural sampling network for representation learning with crowdsourced labels
Omen: discovering sequential patterns with reliable prediction delays
Empirical comparison of supervised learning techniques for missing value imputation
Preventing active re-identification attacks on social graphs via sybil subgraph obfuscation
Chinese adversarial examples generation approach with multi-strategy based on semantic
Fuzzy modified cuckoo search for biomedical image segmentation
A review of clique-based overlapping community detection algorithms
Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization
Self-supervised role learning for graph neural networks
Learning from crowds with decision trees
Graph-based PU learning for binary and multiclass classification without class prior
Theoretical backgrounds of Boolean reasoning-based binary n-clustering
BertHANK: hierarchical attention networks with enhanced knowledge and pre-trained model for answer selection
A comprehensive analysis of the diverse aspects inherent to image data stream classification
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations
DSIM: dynamic and static interest mining for sequential recommendation
Conversational question answering: a survey
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
Self-paced annotations of crowd workers
Open dataset discovery using context-enhanced similarity search
A study into patient similarity through representation learning from medical records
A learned index for approximate kNN queries in high-dimensional spaces
Robust multi-label feature selection with shared label enhancement
Risk-aware temporal cascade reconstruction to detect asymptomatic cases
Euler common spatial pattern modulated with cross-frequency coupling
Distributed real-time ETL architecture for unstructured big data
Multiresolution hierarchical support vector machine for classification of large datasets
Iterative sliding window aggregation for generating length-scale-specific fractal features
Determining maximum cliques for community detection in weighted sparse networks
Named entity disambiguation in short texts over knowledge graphs
Large-scale underwater fish recognition via deep adversarial learning
Visionary: a framework for analysis and visualization of provenance data
An efficient lightweight coordination model to multi-agent planning
A hybrid quantum approach to leveraging data from HTML tables
The phantom steering effect in Q&A websites
Computing top-k temporal closeness in temporal networks
Community detection combining topology and attribute information
Fire now, fire later: alarm-based systems for prescriptive process monitoring
A review on matrix completion for recommender systems
Collaborative filtering recommender systems taxonomy
An integrated framework for diagnosing process faults with incomplete features
E2EET: from pipeline to end-to-end entity typing via transformer-based embeddings
Adapting k-means for graph clustering
Random pairwise shapelets forest: an effective classifier for time series
Efficient multi-attribute precedence-based task scheduling for edge computing in geo-distributed cloud environment
Scalable force-directed graph representation learning and visualization
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs
Modified marine predators algorithm for feature selection: case study metabolomics
A survey on mining and analysis of uncertain graphs
Diagnostic captioning: a survey
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting
Neural TV program recommendation with heterogeneous attention
Bridging the gap between expressivity and efficiency in stream reasoning: a structural caching approach for IoT streams
CustRE: a rule based system for family relations extraction from english text
Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings
Trusting deep learning natural-language models via local and global explanations
Random walk on node cliques for high-quality samples to estimate large graphs with high accuracies and low costs
Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification
On measuring network robustness for weighted networks
S-RAP: relevance-aware QoS prediction in web-services and user contexts
Data pricing in machine learning pipelines
Applications of deep learning for phishing detection: a systematic literature review
A graph-based solution for writer identification from handwritten text
Relational metric learning with high-order neighborhood interactions for social recommendation
Are the statistical tests the best way to deal with the biomarker selection problem?
Autonomous graph mining algorithm search with best performance trade-off
An evidence-based credit evaluation ensemble framework for online retail SMEs
Unsupervised model for aspect categorization and implicit aspect extraction
An overview of cluster-based image search result organization: background, techniques, and ongoing challenges
Ensemble of classifier chains and decision templates for multi-label classification
An improved item-based collaborative filtering using a modified Bhattacharyya coefficient and user–user similarity as weight
An improved confusion matrix for fusing multiple K-SVD classifiers
Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering
A hidden challenge of link prediction: which pairs to check?
Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO
Attributed community search considering community focusing and latent relationship
NAG: neural feature aggregation framework for credit card fraud detection
Performance evaluation of machine learning for fault selection in power transmission lines
A survey on extraction of causal relations from natural language text
Truth validation with evidence
Semantic-driven multi-camera pedestrian detection
Context mining and graph queries on giant biomedical knowledge graphs
MEBC: social network immunization via motif-based edge-betweenness centrality
Multimedia ontology population through semantic analysis and hierarchical deep features extraction techniques
Span-based relational graph transformer network for aspect–opinion pair extraction
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation
Modeling and predicting students’ engagement behaviors using mixture Markov models
How do I update my model? On the resilience of Predictive Process Monitoring models to change
A study of approaches to answering complex questions over knowledge bases
Growth patterns and models of real-world hypergraphs
Powered Dirichlet–Hawkes process: challenging textual clustering using a flexible temporal prior
An overview of high utility itemsets mining methods based on intelligent optimization algorithms
RDF-Gen: generating RDF triples from big data sources
MICAR: nonlinear association rule mining based on maximal information coefficient
Which is better? A modularized evaluation for topic popularity prediction
Topic modeling and intuitionistic fuzzy set-based approach for efficient software bug triaging
Knowledge distillation for BERT unsupervised domain adaptation
Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem
Learning to hash: a comprehensive survey of deep learning-based hashing methods
Learning dataset representation for automatic machine learning algorithm selection
A framework for personalized recommendation with conditional generative adversarial networks
Missing value estimation of microarray data using Sim-GAN
Anomaly detection in the context of long-term cloud resource usage planning
A multi-objective optimization approach to package delivery by the crowd of occupied taxis
Parity-based cumulative fairness-aware boosting
NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups
Elastic distances for time-series classification: Itakura versus Sakoe-Chiba constraints
Hybrid online–offline learning to rank using simulated annealing strategy based on dependent click model
A survey on review summarization and sentiment classification
gRosSo: mining statistically robust patterns from a sequence of datasets
Approximate posterior inference for Bayesian models: black-box expectation propagation
Fuzzy entropy functions based on perceived uncertainty
A novel approach for optimization of convolution neural network with hybrid particle swarm and grey wolf algorithm for classification of Indian classical dances
Complex Attributed Network Embedding for medical complication prediction
Graph attention-based collaborative filtering for user-specific recommender system using knowledge graph and deep neural networks
A cooperative treatment of the plethoric answers problem in RDF
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach
Graph relation embedding network for click-through rate prediction
