RELINE: point-of-interest recommendations using multiple network embeddings
Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search
Transfer learning for fine-grained entity typing
Towards metrics-driven ontology engineering
AQUA+: Query Optimization for Hybrid Database-MapReduce System
Tracking triadic cardinality distributions for burst detection in high-speed graph streams
Selectivity estimation with density-model-based multidimensional histogram
Distributed processing of regular path queries in RDF graphs
Multi-layer linear embedding with feature subset selection
Location selection by multi-criteria decision-making methods based on objective and subjective weightings
Short isometric shapelet transform for binary time series classification
Collaboration prediction in heterogeneous academic network with dynamic structure and topic
Recipe analysis for knowledge discovery of gastronomic dishes
A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification
Improved incremental local outlier detection for data streams based on the landmark window model
Cross- and multiple-domains visual transfer learning via iterative Fischer linear discriminant analysis
Generalising combinatorial discriminant analysis through conditioning truncated Rayleigh flow
Improving security in NoSQL document databases through model-driven modernization
Causal inference for time series analysis: problems, methods and evaluation
ProAID: path-based reasoning for self-attentional disease prediction
Neural networks for model-free and scale-free automated planning
PGT: news recommendation coalescing personal and global temporal preferences
Collaboratively weighted naive Bayes
Pruning strategies for the efficient traversal of the search space in PILP environments
Discovering fortress-like cohesive subgraphs
A differentially private algorithm for range queries on trajectories
Learning credible DNNs via incorporating prior knowledge and model local explanation
A relative position attention network for aspect-based sentiment analysis
BestNeighbor: efficient evaluation of kNN queries on large time series databases
Statistical model for reproducibility in ranking-based feature selection
CANE: community-aware network embedding via adversarial training
Anytime mining of sequential discriminative patterns in labeled sequences
A repairing missing activities approach with succession relation for event logs
A graph grammar and \(K_{4}\)-type tournament-based approach to detect conflicts of interest in a social network
Partial multi-label learning with noisy side information
e-Recruitment recommender systems: a systematic review
Geometric consistency of triangular fuzzy multiplicative preference relation and its application to group decision making
Learning cell embeddings for understanding table layouts
A POI recommendation approach integrating social spatio-temporal information into probabilistic matrix factorization
Transferring trading strategy knowledge to deep learning models
Incremental one-class collaborative filtering with co-evolving side networks
Adversarially regularized medication recommendation model with multi-hop memory network
Multiscale Laplacian graph kernel combined with lexico-syntactic patterns for biomedical event extraction from literature
Hashtag recommendation for short social media texts using word-embeddings and external knowledge
Specifying and computing causes for query answers in databases via database repairs and repair-programs
Dealing with heterogeneity in the context of distributed feature selection for classification
Learning from evolving data streams through ensembles of random patches
A Nested Two-Stage Clustering Method for Structured Temporal Sequence Data
A novel cluster-based approach for keyphrase extraction from MOOC video lectures
Attentive multi-task learning for group itinerary recommendation
A streaming edge sampling method for network visualization
A meta-algorithm for finding large k-plexes
A study on using data clustering for feature extraction to improve the quality of classification
Feature extraction for chart pattern classification in financial time series
Anonymous location sharing in urban area mobility
GrAFCI+ A fast generator-based algorithm for mining frequent closed itemsets
An integrated approach using IF-TOPSIS, fuzzy DEMATEL, and enhanced CSA optimized ANFIS for software risk prediction
Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect
Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing
Deep graph transformation for attributed, directed, and signed networks
Incremental communication patterns in online social groups
Efficient discovery of co-location patterns from massive spatial datasets with or without rare features
Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams
Progressive approaches to flexible group skyline queries
Efficient unsupervised drift detector for fast and high-dimensional data streams
A word embedding-based approach to cross-lingual topic modeling
Metro passengers counting and density estimation via dilated-transposed fully convolutional neural network
Advancing synthesis of decision tree-based multiple classifier systems: an approximate computing case study
Closed form word embedding alignment
Warped softmax regression for time series classification
A hybrid neural network approach to combine textual information and rating information for item recommendation
L-ideals and rough sets based on L-ideals
Improving spectral clustering with deep embedding, cluster estimation and metric learning
Auto-labelling entities in low-resource text: a geological case study
Saliency-based YOLO for single target detection
Deep dynamic neural networks for temporal language modeling in author communities
Efficient computation of deletion-robust k-coverage queries
PE-MSC: partial entailment-based minimum set cover for text summarization
Cost-sensitive selection of variables by ensemble of model sequences
A scalable framework for large time series prediction
PPNW: personalized pairwise novelty loss weighting for novel recommendation
Kernel-based regression via a novel robust loss function and iteratively reweighted least squares
Learning diffusion model-free and efficient influence function for influence maximization from information cascades
Expert-driven trace clustering with instance-level constraints
Unifying community detection and network embedding in attributed networks
Mining discriminative itemsets in data streams using the tilted-time window model
DyFT: a dynamic similarity search method on integer sketches
Word and graph attention networks for semi-supervised classification
Transfer alignment network for blind unsupervised domain adaptation
Adaptive weighted least squares regression for subspace clustering
Data-driven valued dominance relation in incomplete ordered decision system
An experimental analysis on evolutionary ontology meta-matching
Generalized maximal utility for mining high average-utility itemsets
3-3FS: ensemble method for semi-supervised multi-label feature selection
Semantic enrichment of documents: a classification perspective for ontology-based imbalanced semantic descriptions
Model complexity of deep learning: a survey
Bypassing combinatorial explosions in equivalence structure extraction
DORIC: discovering topological relations based on spatial link composition
Pseudo support vector domain description to train large-size and continuously growing datasets
A turning point prediction method of stock price based on RVFL-GMDH and chaotic time series analysis
Improvements on approximation algorithms for clustering probabilistic data
Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification
Extensible ontology-based views for business process models
HAR-sEMG: A Dataset for Human Activity Recognition on Lower-Limb sEMG
Data stream classification with novel class detection: a review, comparison and challenges
On augmenting database schemas by latent visual attributes
On entropy-based term weighting schemes for text categorization
A generative model for time evolving networks
Tweet-scan-post: a system for analysis of sensitive private data disclosure in online social media
OpenWGL: open-world graph learning for unseen class node classification
Toward data-driven solutions to interactive dynamic influence diagrams
Privacy protection of user profiles in online search via semantic randomization
Deep reinforcement learning-based resource allocation and seamless handover in multi-access edge computing based on SDN
Sharp characterization of optimal minibatch size for stochastic finite sum convex optimization
Imputing sentiment intensity for SaaS service quality aspects using T-nearest neighbors with correlation-weighted Euclidean distance
