yusuke1997/dblp-id-title huggingface dataset:
Adaptive semi-supervised dimensionality reduction based on pairwise constraints weighting and graph optimizing
Affinity-based elastic net intuitionistic fuzzy twin support vector machines
Network design of a multi-period collaborative distribution system
User-centered recommendation using US-ELM based on dynamic graph model in E-commerce
Effective genetic algorithm for resource-constrained project scheduling with limited preemptions
Accurate neural network classification model for schizophrenia disease based on electroencephalogram data
An adaptive path tracking with obstacle avoidance scheme for UUVs under complex underwater conditions
Double quantitative fuzzy rough set-based improved AHP method and application to supplier selection decision making
Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion
Online rule fusion model based on formal concept analysis
Feature selections based on fuzzy probability dominance rough sets in interval-valued ordered decision systems
A multi-view multi-label learning with incomplete data and self-adaptive correlations
Dynamic dominance-based multigranulation rough sets approaches with evolving ordered data
Incremental approaches to knowledge reduction based on characteristic matrices
Deep learning methods for LSTM-based personalized search: a comparative analysis
Feature correlation fusion and feature selection under adaptive neighborhood group approximation space
Optimizing traffic efficiency via a reinforcement learning approach based on time allocation
Hierarchical few-shot learning based on top-down correction mechanism with stop strategy
Clustering data with the presence of attribute noise: a study of noise completely at random and ensemble of multiple k-means clusterings
ELM-MC: multi-label classification framework based on extreme learning machine
Hesitant interval-valued fuzzy sets: some new results
Universum based kernelized weighted extreme learning machine for imbalanced datasets
Hybrid deep graph convolutional networks
A step towards the integration of machine learning and classic model-based survey methods
A novel method for head pose estimation based on the "Vitruvian Man"
Shilling attack based on item popularity and rated item correlation against collaborative filtering
Study on neutral complex systems with Markovian switching and partly unknown transition rates
Correction to: A novel adaptive clustering ensemble method
Multi-order attribute network representation learning via constructing hierarchical graphs
RHGNN: imposing relational inductive bias for heterogeneous graph neural network
An adversarial non-volume preserving flow model with Boltzmann priors
DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network
Automatic electroencephalographic information classifier based on recurrent neural networks
A new neural network method for solving Bratu type equations with rational polynomials
Knowledge reasoning approach with linguistic-valued intuitionistic fuzzy credibility
Minimizing data consumption with sequential online feature selection
Quasi-uniform stability of Caputo-type fractional-order neural networks with mixed delay
A study on the discriminating characteristics of Gabor phase-face and an improved method for face recognition
User preference representation and dual contrastive learning for knowledge-aware recommendation
Hybrid CNN-SVM classifier for human biometric recognition using feature fusion
Generalized intuitionistic fuzzy multiplicative interactive geometric operators and their application to multiple criteria decision making
Knowledge graph completion model based on hyperbolic hierarchical attention network
Augmenting web-based tourist support system with microblog analyzed data
Skin feature point tracking using deep feature encodings
A rough set based reasoning approach for criminal identification
Open-ti: open traffic intelligence with augmented language model
Closed-set lattice and modular matroid induced by covering-based rough sets
Biomedical event trigger extraction based on multi-layer residual BiLSTM and contextualized word representations
Global sliding-mode dynamic surface control for MDF continuous hot-pressing slab thickness via LESO
Flat random forest: a new ensemble learning method towards better training efficiency and adaptive model size to deep forest
ARA-DRL: robot skill deep reinforcement learning based on analogical reasoning and self-attention
Towards organizing smart collaboration and enhancing teamwork performance: a GA-supported system oriented to mobile learning through cloud-based online course
A matrix factorization approach to graph compression with partial information
Performance evaluations of large language models for customer service
Laplacian smooth twin support vector machine for semi-supervised classification
Unsupervised image-to-image translation using intra-domain reconstruction loss
Event-triggered consensus control for DC microgrids based on MKELM and state observer against false data injection attacks
An experimental study on stability and generalization of extreme learning machines
An actor-critic reinforcement learning-based resource management in mobile edge computing systems
Emotion-enhanced classification based on fuzzy reasoning
MetaCL: a semi-supervised meta learning architecture via contrastive learning
Correction to: robust two-phase registration method for three-dimensional point set under the bayesian mixture framework
Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis
A global and local feature weighted method for ancient murals inpainting
Outlier detection based on approximation accuracy entropy
A novel message passing neural network based on neighborhood expansion
Axiomatic approaches to three types of L-valued rough sets
Multiview nonnegative matrix factorization with dual HSIC constraints for clustering
Dynamic analysis of discrete-time BAM neural networks with stochastic perturbations and impulses
On relationship between generalized rough multisets and multiset topologies
Granular ball-based feature subset selection for incomplete generalized double multi-scale decision tables
Pornographic video detection with MapReduce
Representation learning from noisy user-tagged data for sentiment classification
Relaxed passivity conditions for discrete-time stochastic delayed neural networks
Towards learning line descriptors from patches: a new paradigm and large-scale dataset
Quantification of side-channel information leaks based on data complexity measures for web browsing
OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition
Feature selection for label distribution learning using fuzzy evidence theory
Implication operators on the set of ∨-irreducible element in the linguistic truth-valued intuitionistic fuzzy lattice
Investigation of relationship between object-oriented metrics and change proneness
A new formulation for second-order cone programming support vector machine
An intra-class distribution-focused generative adversarial network approach for imbalanced tabular data learning
Self-paced and Bayes-decision-rule linear KNN prediction
Control the population of free viruses in nonlinear uncertain HIV system using Q-learning
A survey on application of machine learning for Internet of Things
Legal public opinion news abstractive summarization by incorporating topic information
Stability analysis of stochastic reaction-diffusion neural networks with Markovian switching and time delays in the leakage terms
Sparse multi-label feature selection via dynamic graph manifold regularization
Prototype equilibrium network with group emotional contagion for few-shot emotion recognition in conversation
A vision-based intelligent inspector for wine production
Reinforcement learning for multi-agent with asynchronous missing information fusion method
Self-stacking random weight neural network with multi-layer features fusion
L-fuzzifying approximation operators derived from general L-fuzzifying neighborhood systems
Advanced image segmentation and severity prediction for COVID-19 using nnU-Net and optimized FRCNN-GJS algorithm
Selecting park locations using a genetic algorithm and comprehensive satisfaction
5G-SIID: an intelligent hybrid DDoS intrusion detector for 5G IoT networks
Chinese Question Classification Based on Question Property Kernel
Sequence tagging with a rethinking structure for joint entity and relation extraction
Multi-receptive field spatiotemporal network for action recognition
Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses
Global exponential synchronization of delayed fuzzy cellular neural networks with discontinuous activations
Iterative sampling based frequent itemset mining for big data
A deep learning model for the punching shear strength of prestressed concrete slabs
Fuzzy c-means clustering-based mating restriction for multiobjective optimization
Self-supervised progressive graph neural network for enhanced multi-behavior recommendation
Social web video clustering based on multi-view clustering via nonnegative matrix factorization
On generalization reducts in incomplete multi-scale decision tables
Decision space information driven algorithm for dynamic multiobjective optimization with a changing number of objectives
Event detection based on the label attention mechanism
Clustering mixed type data: a space structure-based approach
Attentive multi-view reinforcement learning
Stability of stochastic fuzzy BAM neural networks with discrete and distributed time-varying delays
Projection models for multiple attribute decision making with picture fuzzy information
A multi-attribute decision-making method with prioritization relationship and dual hesitant fuzzy decision information
Investigations of butterfly species identification from images in natural environments
A multilevel learning automata for MAX-SAT
Cost-sensitive sparse subset selection
Tuning of a PID controller using evolutionary multi objective optimization methodologies and application to the pulp and paper industry
Reciprocal interlayer-temporal discriminative target model for robust visual tracking
AANet: adaptive attention network for rolling bearing fault diagnosis under varying loads
Software defect prediction ensemble learning algorithm based on adaptive variable sparrow search algorithm
A bilingual word alignment algorithm of Vietnamese-Chinese based on feature constraint
Mining frequent itemsets using the N-list and subsume concepts
Knowledge granularity reduction for decision tables
A three-way decision method with probability dominance relation in interval-valued hesitant fuzzy environment for marine steam turbine fault diagnosis
Multi-strategy boosted dung beetle optimizer and its applications for photovoltaic models and engineering applications
Linguistic-valued layered concept lattice and its rule extraction
Fragile watermarking schemes for image authentication: a survey
A survey on federated learning: challenges and applications
Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation
VESC: a new variational autoencoder based model for anomaly detection
Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk
Cross-domain sentiment aware word embeddings for review sentiment analysis
Image change detection based on an improved rough fuzzy c-means clustering algorithm
Improving text classification via a soft dynamical label strategy
Click-through rate prediction based on feature interaction and behavioral sequence
Simultaneous feature and parameter selection using multiobjective optimization: application to named entity recognition
TinySiamese network for biometric analysis
Content based approach to find the credibility of user in social networks: an application of cyberbullying
Fine-tuning pretrained transformer encoders for sequence-to-sequence learning
Multipath feature recalibration DenseNet for image classification
A general conflict analysis model based on three-way decision
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval
A social immunity based approach to suppress rumors in online social networks
Feature selection based L1alm-DT and MHT-LSTM for human activity recogition via sensor
Multi-view subspace enhanced representation of manifold regularization and low-rank tensor constraint
Efficient mining frequent itemsets algorithms
Special issue on Machine learning approaches and challenges of missing data in the era of big data
Multi-view reinforcement learning for sequential decision-making with insufficient state information
UUGAN: a GAN-based approach towards underwater image enhancement using non-pairwise supervision
Learning cluster-wise label distribution for label enhancement
An incomplete multi-view clustering approach using subspace alignment constraint
Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems
Seasonal decomposition and combination model for short-term forecasting of subway ridership
Research on boundary-aware waters segmentation network for unmanned surface vehicles in complex inland waters
A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction
A graph optimization method for dimensionality reduction with pairwise constraints
Symmetrical filters in convolutional neural networks
A fast template matching-based algorithm for railway bolts detection
Towards high-utility sequential rules with repetitive items
TTL: transformer-based two-phase transfer learning for cross-lingual news event detection
A novel machine learning framework: cross transformer based optimization model for the detection and classification of brain tumor using clinical decision analysis
Emotion recognition using multimodal deep learning in multiple psychophysiological signals and video
A novel overlapping community detection strategy based on Core-Bridge seeds
Weakly-supervised learning for community detection based on graph convolution in attributed networks
Granular-ball computing guided anomaly detection for hybrid attribute data
Trust consistency in public data games on complex networks
Local rough set-based feature selection for label distribution learning with incomplete labels
A novel Q-learning-inspired Mountain Gazelle Optimizer for solving global optimization problems
Multiple sparse spaces network pruning via a joint similarity criterion
Rough set interpretation to RBF neural network
Antenna optimization based on master-apprentice broad learning system
Rough soft lattice implication algebras and corresponding decision making methods
Constructing lattice based on irreducible concepts
Association rule mining using treap
Recent advances of statistics in computational intelligence (RASCI)
Label distribution learning by utilizing common and label-specific feature fusion space
Metric learning with multi-relational data
PTEKC: pre-training with event knowledge of ConceptNet for cross-lingual event causality identification
Towards an improved label noise proportion estimation in small data: a Bayesian approach
A study on the uncertainty of convolutional layers in deep neural networks
On knowledge acquisition in multi-scale decision systems
Inclined planes system optimization algorithm for IIR system identification
Learning enhancing modality-invariant features for visible-infrared person re-identification
Colour image segmentation with histogram and homogeneity histogram difference using evolutionary algorithms
Intuitionistic fuzzy multi-stage multi-objective fixed-charge solid transportation problem in a green supply chain
Cervical cancerous cell classification: opposition-based harmony search for deep feature selection
Automatic playlist generation by applying tabu search
Integration of data fusion and reinforcement learning techniques for the rank-aggregation problem
Cross channel aggregation similarity network for salient object detection
Cardiac arrhythmia classification using multi-granulation rough set approaches
Relation granulation and algebraic structure based on concept lattice in complex information systems
Hesitant fuzzy linguistic multi-criteria decision making based on possibility theory
Interval-valued intuitionistic ( T , S )-fuzzy filters theory on residuated lattices
Higher-order link prediction via light hypergraph neural network and hybrid aggregator
Dual-stage hash-aware distillation for unsupervised cross-modal hashing retrieval
Joint learning of author and citation contexts for computing drift in scholarly documents
Symmetric uncertainty class-feature association map for feature selection in microarray dataset
A multiclass boosting algorithm to labeled and unlabeled data
Combining data augmentation and model fine-tuning for learning from limited data
Improved dense residual network with the coordinate and pixel attention mechanisms for helmet detection
Optimal pricing decision for supply chains with risk sensitivity and human estimation
Multi-objective uncertain project selection considering synergy
Reconstruction of missing color-channel data using a three-step back propagation neural network
Clustering analysis through artificial algae algorithm
Vulnerable point detection and repair against adversarial attacks for convolutional neural networks
Clustering data in stationary environments with a local network neighborhood artificial immune system
Adam energy valley optimization-based routing and RF-Spinalnet enabled medical data classification in IoT
Label distribution learning via second-order self-representation
Improving cross-lingual language understanding with consistency regularization-based fine-tuning
A hierarchical multilevel thresholding method for edge information extraction using fuzzy entropy
RNON: image inpainting via repair network and optimization network
D2TS: a dual diversity tree selection approach to pruning of random forests
Robust \({H_\infty }\) synchronization of chaotic systems with unmatched disturbance and time-delay
Robust metric learning based on the rescaled hinge loss
Federated domain generalization for intelligent fault diagnosis based on pseudo-siamese network and robust global model aggregation
A two stages sparse SVM training
Online regularity learning-based evolutionary multiobjective optimization and its application in aircraft trajectory planning
Pooled shrinkage estimator for quadratic discriminant classifier: an analysis for small sample sizes in face recognition
A new projection neural network for convex nonlinear second-order cone programming with an application in force optimization problems
Multi-criteria group decision making method based on generalized intuitionistic trapezoidal fuzzy prioritized aggregation operators
Balance-driven automatic clustering for probability density functions using metaheuristic optimization
MSSL: a memetic-based sparse subspace learning algorithm for multi-label classification
A path planner based on multivariant optimization algorithm with absorption
Pricing electric power options by maximizing the utility of investment wealth with fuzzy measures
Learning label-specific features via neural network for multi-label classification
An improved fingerprint orientation field extraction method based on quality grading scheme
Automatic non-interactive matting of dynamic targets in complex video using Graph Cuts
Non-stationary fuzzy time series modeling and forecasting using deep learning with swarm optimization
A dual-encoder network based on multi-layer feature fusion for infrared and visible image fusion
Semi-supervised correntropy-based non-negative matrix factorization with hypergraph regularization
Multigranulation double-quantitative decision-theoretic rough sets based on logical operations
Unsupervised image categorization based on deep generative models with disentangled representations and von Mises-Fisher distributions
DLSA: dual-learning based on self-attention for rating prediction
Handwritten character recognition using wavelet energy and extreme learning machine
PRF-RW: a progressive random forest-based random walk approach for interactive semi-automated pulmonary lobes segmentation
Bipolar fuzzy Petri nets for knowledge representation and acquisition considering non-cooperative behaviors
A matching model of mathematical expressions with FDS based index
A collaboration-based particle swarm optimizer for global optimization problems
Adte: defect detection and location based on adaptive multi-branch residual denosing and triple SE
Adaptive exploration policy for exploration-exploitation tradeoff in continuous action control optimization
A multi-scale temporal-frequency fusion network based on MLP for long-term time series forecasting
DT-GCNN: dynamic triplet network with GRU-CNN for enhanced text classification
Yaw-guided end-to-end imitation learning for autonomous driving in urban environments
Dissipativity-based asynchronous control for time-varying delay T-S fuzzy Markov jump systems with multisource disturbances and input saturation
Patchlinear for single-step forecasting and anomaly detection
Experimental study on generalization capability of extended naive Bayesian classifier
Personalized Lao language synthesis via disentangled neural codec language model
Visible-infrared person re-identification with complementary feature fusion and identity consistency learning
A multiple criteria ensemble pruning method for binary classification based on D-S theory of evidence
Manifold-based denoising, outlier detection, and dimension reduction algorithm for high-dimensional data
Tabular reasoning via two-stage knowledge injection
Feature selection for label distribution learning under feature weight view
HFCCW: A Novel Hybrid Filter-Clustering-Coevolutionary Wrapper Feature Selection Approach for Network Anomaly Detection
Segmentation-based multi-scale attention model for KRAS mutation prediction in rectal cancer
REMFLOW: RAG-enhanced multi-factor rainfall flooding warning in sponge airports via large language model
Editorial: deep learning for 5G IoT systems
Evolutionary neural networks for deep learning: a review
An iterative recommendation model of supporting personalized learning based on schematic patterns mining from schema-enhanced contexts of problem-solving
Multigranulation decision-theoretic rough sets in incomplete information systems
Multi-agent cooperation policy gradient method based on enhanced exploration for cooperative tasks
Comparative analysis of open-source federated learning frameworks - a literature-based survey and review
Deep data representation with feature propagation for semi-supervised learning
Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm
Adaptive control of direct-drive wave power generation system based on RBF neural network
A model integrating fuzzy AHP with QFD for assessing technical factors in aviation safety
Image set face recognition based on extended low rank recovery and collaborative representation
Reinforced feature selection using Q-learning based on collaborative agents
Correction: A writing style-based multi-task model with the hierarchical attention for rumor detection
An uncertain workforce planning problem with job satisfaction
Condensed-gradient boosting
Enhance the recognition ability to occlusions and small objects with Robust Faster R-CNN
Adversarial self-attack defense and spatial-temporal relation mining for visible-infrared video person re-identification
A deep clustering by multi-level feature fusion
An ensemble multiscale wavelet-GARCH hybrid SVR algorithm for mobile cloud computing workload prediction
Synchronization of competitive neural networks with different time scales and time-varying delay based on delay partitioning approach
Towards platform profit-aware fairness in personalized recommendation
Separation of dynamic data and recovery of P-abnormal data
Discovering the discovery of Linguistic Geometry
Confidence estimation for t-SNE embeddings using random forest