yusuke1997/dblp-id-title huggingface dataset:
Hybrid ensemble selection algorithm incorporating GRASP with path relinking
Reduction of the uncertainty in feature tracking
Entity alignment in noisy knowledge graph
Non-linear statistical image watermark detector
Parameter identification of permanent magnet synchronous motors using quasi-opposition-based particle swarm optimization and hybrid chaotic particle swarm optimization algorithms
Predicting drug-drug adverse reactions via multi-view graph contrastive representation model
An algorithm for influence maximization in competitive social networks with unwanted users
A real time traffic simulator utilizing an adaptive fuzzy inference mechanism by tuning fuzzy parameters
A hybrid framework for multivariate long-sequence time series forecasting
Team formation in social networks based on collective intelligence - an evolutionary approach
A novel mapreduce algorithm for distributed mining of sequential patterns using co-occurrence information
Multiple lesion segmentation in diabetic retinopathy with dual-input attentive RefineNet
Winding pathway understanding based on angle projections in a field environment
Graph structure prompt learning: A novel methodology to improve performance of graph neural networks
Using distributed ledger technology to democratize neural network training
TrajDiffRefine: refinement of spatio-temporal stochastic trajectory prediction via diffusion
A semi-hard voting combiner scheme to ensemble multi-class probabilistic classifiers
Artificial intelligence snapchat: Visual conversation agent
A self-interpretable module for deep image classification on small data
SEN-FCB: an unsupervised twinning neural network for image registration
A novel approach to generating high-resolution adversarial examples
DGMem: learning visual navigation policy without any labels by dynamic graph memory
The catallaxy approach for decentralized economic-based allocation in Grid resource and service markets
Path planning algorithm ensuring accurate localization of radiation sources
Advancing image super-resolution reconstruction: the efficacy of the composite downsampling model based on wavelet transform and bicubic interpolation (CDWB)
Residual deep attention mechanism and adaptive reconstruction network for single image super-resolution
RKHS reconstruction based on manifold learning for high-dimensional data
Knowledge graph-extended retrieval augmented generation for question answering
A hybrid machine learning model for multi-document summarization
A mathematical model for solving fully fuzzy linear programming problem with trapezoidal fuzzy numbers
Meta-transfer learning-based method for multi-fault analysis and assessment in power system
Non-intrusive load monitoring method with inception structured CNN
Bounded non-deterministic planning for multimedia adaptation
Incremental and sequence learning algorithms for weighted regularized extreme learning machines
REFD:recurrent encoder and fusion decoder for temporal knowledge graph reasoning
Deceptive opinion spam detection approaches: a literature survey
Self-aware circular response-guided attention for robust siamese tracking
Non-spike timing-dependent plasticity learning mechanism for memristive neural networks
Research on the model updating strategy about sex discrimination of silkworm pupae with new varieties based on semi-supervised learning
Novel coupled DP system for fuzzy C-means clustering and image segmentation
Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model
3D ME-Net: multi-scale and edge-guided enhancement network for intracranial aneurysm segmentation
Deep attribute graph clustering based on bisymmetric network information fusion and mutual influence
Transformer network with decoupled spatial-temporal embedding for traffic flow forecasting
Ensemble microbial classification based on space partitioning and data augmentation
HLNet: high-level attention mechanism U-Net + + for brain tumor segmentation in MRI
Three-way density peak clustering in incomplete information systems
Automated machine learning for positive-unlabelled learning
DRFP-tree: disk-resident frequent pattern tree
Short text clustering based on Pitman-Yor process mixture model
M2GCN: multi-modal graph convolutional network for modeling polypharmacy side effects
Transductive cost-sensitive lung cancer image classification
A multi-objective sequential three-way decision approach for real-time malware detection
HOPLP - MUL: link prediction in multiplex networks based on higher order paths and layer fusion
Attentive Q-matrix learning for knowledge tracing
Modeling analysis of ant system with multiple tasks and its application to spatially adjacent cell state estimate
A variable population size opposition-based learning for differential evolution algorithm and its applications on feature selection
Relationship constraint deep metric learning
Group decision support model based on sequential additive complementary pairwise comparisons
CRViT: Vision transformer advanced by causality and inductive bias for image recognition
Scoring the Data Using Association Rules
An improved evidence fusion algorithm in multi-sensor systems
Log-Gabor directional region entropy adaptive guided filtering for multispectral pansharpening
An improved ν-twin support vector machine
DAGCN: hybrid model for efficiently handling joint node and link prediction in cloud workflows
A color image encryption scheme based on chaotic mapping, chaotic system, and DNA coding
Robust and sparse label propagation for graph-based semi-supervised classification
Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation
Bi-level artificial intelligence model for risk classification of acute respiratory diseases based on Chinese clinical data
Mixed graph convolution and residual transformation network for skeleton-based action recognition
A new boundary-degree-based oversampling method for imbalanced data
BDLA: Bi-directional local alignment for few-shot learning
Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network
Existence and simulation of multiple solutions to an optimization model for completing incomplete fuzzy preference relations
Missing multi-label learning with non-equilibrium based on two-level autoencoder
Missing information in imbalanced data stream: fuzzy adaptive imputation approach
Practical Handling of Exception-Tainted Rules and Independence Information in Possibilistic Logic
Graph neural networks with selective attention and path reasoning for document-level relation extraction
Graph-based dynamic ensemble pruning for facial expression recognition
Lightweight and efficient asymmetric network design for real-time semantic segmentation
Federated trajectory clustering based on multi-feature similarity calculation
An optical flow estimation method based on multiscale anisotropic convolution
Shape-aware fine-grained classification of erythroid cells
Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering
Information gain-based semi-supervised feature selection for hybrid data
Bayesian nonnegative matrix factorization in an incremental manner for data representation
A novel sub-model selection algorithm considering model interactions in combination forecasting for carbon price forecasting
Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering
Deep reinforcement learning for UAV attitude control via adaptive gain optimization
A novel hybrid neural network approach incorporating convolution and LSTM with a self-attention mechanism for web attack detection
A view-invariant gait recognition algorithm based on a joint-direct linear discriminant analysis
Semi-supervised regression with label-guided adaptive graph optimization
FuCWO: a novel fuzzy-based approach of contention window optimization for IEEE-802.15.6 WBANs
Deep integration of conditional gan, attention mechanism, and image clustering for automated color separation and correction in textile screen printing
RI-PCGrad: Optimizing multi-task learning with rescaling and impartial projecting conflict gradients
Improved KD-tree based imbalanced big data classification and oversampling for MapReduce platforms
Improved integrate-and-fire neuron models for inference acceleration of spiking neural networks
SAAGs: Biased stochastic variance reduction methods for large-scale learning
An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems
Temporal Contexts for Discourse Representation: An Extension of the Conceptual Graph Approach
Rule-based aggregation driven by similar images for visual saliency detection
Constrained feature weighting for semi-supervised learning
Insulator defect detection from aerial images in adverse weather conditions
Introduction to Financial Forecasting
A cognitive scheme for gateway protection in wireless sensor network
On the complex domain deep machine learning for face recognition
Applying social media in emergency response: an attention-based bidirectional deep learning system for location reference recognition in disaster tweets
Applying inverse stereographic projection to manifold learning and clustering
Multi-objective evolutionary algorithm based on decision space partition and its application in hybrid power system optimisation
Adaptive disentangled learning recommendation via similarity popularity
A migratory behavior and emotional preference clustering algorithm based on learning vector quantization and gaussian mixture model
Real-time prediction of gas flow dynamics in diesel engines using a deep neural operator framework
Oversampling technique based on fuzzy representativeness difference for classifying imbalanced data
Cospeech body motion generation using a transformer
Forecasting patient arrivals at emergency department using calendar and meteorological information
Efficient knowledge distillation using a shift window target-aware transformer
A BERT-based multi-semantic learning model with aspect-aware enhancement for aspect polarity classification
Frequent itemset hiding revisited: pushing hiding constraints into mining
A two-generation based method for few-shot learning with few-shot instance-level privileged information
Boiler furnace temperature and oxygen content prediction based on hybrid CNN, biLSTM, and SE-Net models
Unsupervised feature learning using locality-preserved auto-encoder with complexity-invariant distance for intelligent fault diagnosis of machinery
Solving multi-objective optimization problem using cuckoo search algorithm based on decomposition
D-Brane: a diplomacy playing agent for automated negotiations research
CrowdFPN: crowd counting via scale-enhanced and location-aware feature pyramid network
A semantic and intelligent focused crawler based on semantic vector space model and membrane computing optimization algorithm
Sensor dynamic reliability evaluation based on evidence theory and intuitionistic fuzzy sets
Boosting-SVM: effective learning with reduced data dimension
A new twin SVM method with dictionary learning
Representation learning based on hybrid polynomial approximated extreme learning machine
Online education satisfaction assessment based on cloud model and fuzzy TOPSIS
Whether and how is a surveillance camera jittering? A ROR perception based framework and method
DRHGNN: a dynamic residual hypergraph neural network for aspect sentiment triplet extraction
A non-adaptive segmentation algorithm for particle images in controlled environments with uniform backgrounds based on two-round superpixel segmentation and ensemble learning
A large-scale dataset for korean document-level relation extraction from encyclopedia texts
MBNR: Case-Based Reasoning with Local Feature Weighting by Neural Network
Robust classification for spam filtering by back-propagation neural networks using behavior-based features
Portfolio management system in equity market neutral using reinforcement learning
Multimodal data fusion framework based on autoencoders for top-N recommender systems
Multi-ant colony optimization algorithm based on hybrid recommendation mechanism
End-to-end multitask Siamese network with residual hierarchical attention for real-time object tracking
Nonlocal-guided enhanced interaction spatial-temporal network for compressed video super-resolution
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification
Novel approaches for parameter estimation of local linear models for dynamical system identification
Privacy-preserving visual analysis: training video obfuscation models without sensitive labels
Adaptive weighted noise constraint-based low-rank representation learning for robust multi-view subspace clustering
Change Detection in Overhead Imagery Using Neural Networks
Automatic coarse-to-refinement-based ultrasound prostate segmentation using optimal polyline segment tracking method and deep learning
Semi-supervised symmetric non-negative matrix factorization with graph quality improvement and constraints
Cross-project defect prediction based on autoencoder with dynamic adversarial adaptation
UEFN: Efficient uncertainty estimation fusion network for reliable multimodal sentiment analysis
Stochastic optimization for bayesian network classifiers
Exploiting skeleton-based gait events with attention-guided residual deep learning model for human identification
Swin transformer-based traffic video text tracking
Research on flight training prediction based on incremental online learning
Memory network with hierarchical multi-head attention for aspect-based sentiment analysis
A new hybrid feature selection based on multi-filter weights and multi-feature weights
Performance metrics for multi-step forecasting measuring win-loss, seasonal variance and forecast stability: an empirical study
The Evolution of Concurrent Programs
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF
Highway spillage detection using an improved STPM anomaly detection network from a surveillance perspective
Discrete selfish herd optimizer for solving graph coloring problem
HATFNet: Hierarchical adaptive trident fusion network for RGBT tracking
Enhancing explainability in medical image classification and analyzing osteonecrosis X-ray images using shadow learner system
CCR-GSVM: A boundary data generation algorithm for support vector machine in imbalanced majority noise problem
Improvement of robust tensor principal component analysis based on generalized nonconvex approach
A novel method for coevolving PS-optimizing negotiation strategies using improved diversity controlling EDAs
Deep CNN-based local dimming technology
Annotated Logic Applications for Imperfect Information
Fine-grained multi-view clustering with robust multi-prototypes representation
Deep convolutional transfer learning-based structural damage detection with domain adaptation
Joint ordinal regression and multiclass classification for diabetic retinopathy grading with transformers and CNNs fusion network
Skewed normal cloud modified whale optimization algorithm for degree reduction of S-λ curves
An accelerated PSO for query expansion in web information retrieval: application to medical dataset
A multi-modal genomic knowledge distillation framework for drug response prediction
TFFC: time-frequency fusion consistency for semi-supervised time series classification
A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization
DTGA: an in-situ training scheme for memristor neural networks with high performance
SentATN: learning sentence transferable embeddings for cross-domain sentiment classification
Unsupervised few-shot image classification via one-vs-all contrastive learning
A cross-domain intelligent fault diagnosis method based on deep subdomain adaptation for few-shot fault diagnosis
An adaptive convolution with label embedding for text classification
Conflict-based pruning of a solution space within a constructive geometric constraint solver
Collaborative fuzzy clustering of distributed concept-drifting dynamic data using a gossip-based approach
Inferencing transportation mode using unsupervised deep learning approach exploiting GPS point-level characteristics
Compressed neural architecture utilizing dimensionality reduction and quantization
An efficient pruning and fine-tuning method for deep spiking neural network
ICMA: a new efficient algorithm for process model discovery
A user preference knowledge graph incorporating spatio-temporal transfer features for next POI recommendation
A dynamic queuing model based distributed task offloading algorithm using deep reinforcement learning in mobile edge computing
A distributionally robust risk-aware approach to chance constrained sustainable development model under unknown distribution
Random neighborhood ensemble-based one-class classification algorithm for anomaly detection
Multimodal correlation deep belief networks for multi-view classification
Generality-aware self-supervised transformer for multivariate time series anomaly detection
HCT-net: hybrid CNN-transformer model based on a neural architecture search network for medical image segmentation
Enhanced context-aware citation recommendation with auxiliary textual information based on an auto-encoding mechanism
Discriminative training via minimization of risk estimates based on Parzen smoothing
A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning
All-in-one multicategory Ramp loss maximum margin of twin spheres support vector machine
Batch-mode active ordinal classification based on expected model output change and leadership tree
Bottom-up improved multistage temporal convolutional network for action segmentation
Tracking-removed neural network with graph information for classification of incomplete data
Uncover the reasons for performance differences between measurement functions (Provably)
ROCIP: robust continuous inertial position tracking for complex actions emerging from the interaction of human actors and environment
Pre-classification based hidden Markov model for quick and accurate gesture recognition using a finger-worn device
Adaptive federated deep reinforcement learning for edge offloading in heterogeneous AGI-MEC networks
Modeling adaptation of breast cancer treatment decision protocols in the Kasimir project
A rehearsal framework for computational efficiency in online continual learning
A hybrid algorithm for the university course timetabling problem using the improved parallel genetic algorithm and local search
Single image deraining via nonlocal squeeze-and-excitation enhancing network
FSPTwigFast: Holistic twig query on fuzzy spatiotemporal XML data
An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model
A non-revisiting framework for evolutionary multi-task optimization
MapReduce based parallel gene selection method
Almost periodic solutions of quaternion-valued neutral type high-order Hopfield neural networks with state-dependent delays and leakage delays
Residual-ChebNet: A residual connection graph convolutional network for mild cognitive impairment classification based on multimodal imaging data
An efficient deep neural model for detecting crowd anomalies in videos
Decision tree ensembles based on kernel features
Evaluation of small and medium-sized enterprises' sustainable development with hesitant fuzzy linguistic group decision-making method
Integrating deep learning with first order logic for solving kinematic problems
Aspect-gated graph convolutional networks for aspect-based sentiment analysis
A deep reinforcement learning hyper-heuristic to solve order batching problem with mobile robots
Physical-layer secret key generation based on domain-adversarial training of autoencoder for spatial correlated channels
Exploring new roles for case-based reasoning in heterogeneous AI systems for medical decision support
A novel multi-module integrated intrusion detection system for high-dimensional imbalanced data
Formulation of a hybrid expertise retrieval system in community question answering services
Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM
Combining task scheduling and data replication for SLA compliance and enhancement of provider profit in clouds
Swarm intelligence approaches for multidepot salesmen problems with load balancing
MGA-YOLOv4: a multi-scale pedestrian detection method based on mask-guided attention
The six elements to block-building approaches for the single container loading problem
Subgraph retrieval and link scoring model for multi-hop question answering in knowledge graphs
Geometric algebra-based multiscale encoder-decoder networks for 3D motion prediction
A cross-database micro-expression recognition framework based on meta-learning
A group decision making method with intuitionistic triangular fuzzy preference relations and its application
Interval-valued dual hesitant fuzzy linguistic group recommendation method by considering the double relevance
A scalable parallel preconditioned conjugate gradient method for bundle adjustment
Reward modeling for mitigating toxicity in transformer-based language models
Reinforcement learning for multi-agent formation navigation with scalability
A novel community detection method based on whale optimization algorithm with evolutionary population
IrisST-Net for iris segmentation and contour parameters extraction
A novel feature selection method based on normalized mutual information
Coresets based asynchronous network slimming
An ant colony-based algorithm for integrated scheduling on batch machines with non-identical capacities
Uncertainty modified policy for multi-agent reinforcement learning
Autonomous flight cycles and extreme landings of airliners beyond the current limits and capabilities using artificial neural networks
STViT+: improving self-supervised multi-camera depth estimation with spatial-temporal context and adversarial geometry regularization
A cooperative coevolutionary biogeography-based optimizer
Extended distributed learning automata - An automata-based framework for solving stochastic graph optimization problems
Bearing fault diagnosis based on combined multi-scale weighted entropy morphological filtering and bi-LSTM
Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification
On the effect of calibration in classifier combination
Diffusion-augmented nematode dataset improves few-shot classification of nematodes
Two new heuristics for the dominating tree problem
Enhanced sooty tern optimization algorithm using multiple search guidance strategies and multiple position update modes for solving optimization problems
Target-class guided sample length reduction and training set selection of univariate time-series
mPadal: a joint local-and-global multi-view feature selection method for activity recognition
Credit assignment in heterogeneous multi-agent reinforcement learning for fully cooperative tasks
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning
Application of Cascade Correlation Networks for Structures to Chemistry
Iterative local search for preserving data privacy
A 3D-CNN and multi-loss video prediction architecture
An enhanced hybrid adaptive physics-informed neural network for forward and inverse PDE problems
Variable ordering and constraint propagation for constrained CP-nets
Hierarchical attention based long short-term memory for Chinese lyric generation
Evaluation of synthetic data generation for intelligent climate control in greenhouses
Regularized Gaussian Mixture Model based discretization for gene expression data association mining
Enhancing computational efficiency in digital twins: a survey of techniques and challenges for fast inference
An efficient attention module for 3d convolutional neural networks in action recognition