yusuke1997/dblp-id-title huggingface dataset:
Multi-factor stock trading strategy based on DQN with multi-BiGRU and multi-head ProbSparse self-attention
Wasserstein distance based multi-scale adversarial domain adaptation method for remaining useful life prediction
Unsupervised deep learning for geometric feature detection and multilevel-multimodal image registration
Robust deep kernel-based fuzzy clustering with spatial information for image segmentation
The arithmetics of two dimensional belief functions
Learning the Dynamics of Embedded Clauses
Population affinity propagation approach for points of dispensing location allocation
Effective hate-speech detection in Twitter data using recurrent neural networks
An adaptive parallel algorithm for finite language decomposition
Nonlinear crossing strategy-based particle swarm optimizations with time-varying acceleration coefficients
Beyond intelligent interfaces: Exploring, analyzing, and creating success models of cooperative problem solving
Improved attribute reductions based on combined measures from dependency-roughness-entropy fusion and classification-class-level integration
A novel synthetic minority oversampling technique based on relative and absolute densities for imbalanced classification
Real-time 3D human pose recovery from a single depth image using principal direction analysis
Enhancing firefly algorithm with adaptive multi-group mechanism
Semi-supervised GAN with similarity constraint for mode diversity
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection
Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data
Bi-AFN++CA: Bi-directional adaptive fusion network combining context augmentation for small object detection
A faster stochastic alternating direction method for large scale convex composite problems
Rainfall-runoff modeling of flash floods in the absence of rainfall forecasts: the case of "Cévenol flash floods"
Example-based learning using heuristic orthogonal matching pursuit teaching mechanism with auxiliary coefficient representation for the problem of de-fencing and its affiliated applications
Retraction Note: Location algorithm of transfer stations based on density peak and outlier detection
Multi-label learning with Relief-based label-specific feature selection
Coverage hole detection in WSN with force-directed algorithm and transfer learning
SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentation
Steering the spread of influence adaptively in social networks via a discrete scheduled particle swarm optimization
Online SARIMA applied for short-term electricity load forecasting
An approach for combining MULTIMOORA method and Muirhead mean operators based on the complex Pythagorean fuzzy uncertain linguistic representation model
Multi-grained and multi-layered gradient boosting decision tree for credit scoring
Multiple graph fusion based on Riemannian geometry for motor imagery classification
OCR-RTPS: an OCR-based real-time positioning system for the valet parking
MAN: Main-auxiliary network with attentive interactions for review-based recommendation
Particle filter meets hybrid octrees: an octree-based ground vehicle localization approach without learning
Development of an adaptive reliability analysis framework for reinforced concrete frame structures using uncertainty quantification
Hybrid sentiment classification on twitter aspect-based sentiment analysis
Multi-parameter safe screening rule for hinge-optimal margin distribution machine
NkEL: nearest k-labelsets ensemble for multi-label learning
A space transformational invasive weed optimization for solving fixed-point problems
Bit-Close: a fast incremental concept calculation method
Multi-objective service composition model based on cost-effective optimization
Joint learning of graph and latent representation for unsupervised feature selection
Towards understanding the optimization mechanisms in deep learning
Supervised learning model for identifying illegal activities in Bitcoin
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks
Multi-label learning of missing labels using label-specific features: an embedded packaging method
Semantic Interpretation in Linear Time in the ATIS Domain
Prediction of circRNA-drug sensitivity using random auto-encoders and multi-layer heterogeneous graph transformers
Quasi-atomic relations based rough set model and convex geometry
Adversarial multi-task deep learning for signer-independent feature representation
Multi-view and multi-augmentation for self-supervised visual representation learning
Improved cat swarm optimization algorithm for solving global optimization problems and its application to clustering
Maximum mutual information for feature extraction from graph-structured data: Application to Alzheimer's disease classification
Some new operations on single-valued neutrosophic matrices and their applications in multi-criteria group decision making
Improving graph-based label propagation algorithm with group partition for fraud detection
Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection
Agent-based Cloud service composition
Bi-objective parameter setting problem of a genetic algorithm: an empirical study on traveling salesperson problem
Knowledge acquisition and decision making based on Bayes risk minimization method
SELF-EdiT: Structure-constrained molecular optimisation using SELFIES editing transformer
Multi-label feature selection via redundancy of the selected feature set
Routing optimization with Monte Carlo Tree Search-based multi-agent reinforcement learning
Multi-task recommendation based on dynamic knowledge graph
Cluster-based Kriging approximation algorithms for complexity reduction
Machine learning for automation usage prediction: identifying critical factors in driver decision-making
Enhancing intelligence in multimodal emotion assessments
AEP: An adaptive ensemble P300-BCI classifier based on user-feedback and knowledge-transfer
On combining multiple clusterings: an overview and a new perspective
HGAT-BR: Hyperedge-based graph attention network for basket recommendation
ISL-Net: dual-stream interaction network with task-optimized modules for more accurate, complete iris segmentation and localization
An Interactive Visualisation Tool for Case-Based Reasoners
NASA's Telerobotics research program
A systematic comparison of different machine learning models for the spatial estimation of air pollution
Exploring object reduction approaches for optimizing decision-making in linguistic concept formal context
Transformer-based networks over tree structures for code classification
Multiple graph reasoning network for joint optic disc and cup segmentation
Asymmetric response aggregation heuristics for rating prediction and recommendation
Conformal prediction for out-of-distribution time-series classification
Multiple stocks recommendation: a spatio-temporal hypergraph learning approach
A load prediction model for cloud computing using PSO-based weighted wavelet support vector machine
A novel approach to task assignment in a cooperative multi-agent design system
A local linear radial basis function neural network for financial time-series forecasting
A Learning to rank framework based on cross-lingual loss function for cross-lingual information retrieval
An industrial portrait background removal solution based on knowledge infusion
An imbalanced ensemble learning method based on dual clustering and stage-wise hybrid sampling
Human-object interaction detection based on adaptive contrastive learning and class-specific feature enhancement
Bio-inspired interactive feedback neural networks for edge detection
PUA-Net: end-to-end information hiding network based on structural re-parameterization
Research on natural computing method of multi-spatially cooperative game based on clustering
Towards automated choreography of Web services using planning in large scale service repositories
Optimizing association rule hiding using combination of border and heuristic approaches
Partial information basis for agent-based collaborative dialogue
The Method of Assigning Incidences
A dynamic graph-based multiscale spatio-temporal feature enhancement network applied to ENSO prediction
A machine learning approach for package size estimation using UHF RFID interrogation signature
Unsupervised diffusion based anomaly detection for time series
Remote sensing image change detection method based on dual-branch multi-level feature difference interactive learning
Trajectory similarity clustering based on multi-feature distance measurement
EM-FGS: Graph sparsification via faster semi-metric edges pruning
A novel chinese relation extraction method using polysemy rethinking mechanism
HELViT: highly efficient lightweight vision transformer for remote sensing image scene classification
Using rough set to support investment strategies of real-time trading in futures market
A general multi-factor norm based low-rank tensor completion framework
Fast privacy-preserving utility mining algorithm based on utility-list dictionary
A multi-objective artificial bee colony algorithm based on division of the searching space
A deep learning strategy for automatic congestive heart failure detection using novel bottleneck attention module
Rough Self Organizing Map
Multi objective programming problem in the hesitant fuzzy environment
Weakly-supervised video anomaly detection via temporal resolution feature learning
Salient object detection using biogeography-based optimization to combine features
Image classification based on quaternion-valued capsule network
Reducing vehicle emissions and fuel consumption in the city by using particle swarm optimization
A multi-head adaptive actor-critic algorithm for solving vehicle routing problems
Crowd density estimation based on multi scale features fusion network with reverse attention mechanism
TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation
Guidance-solution based ant colony optimization for satellite control resource scheduling problem
Knowledge Modeling of Program Supervision Task and its Application to Knowledge Base Verification
Benchmarks for machine learning in depression discrimination using electroencephalography signals
A transformer framework for generating context-aware knowledge graph paths
A constrained growing grid neural clustering model
A novel quasi-oppositional chaotic antlion optimizer for global optimization
Investigating the multi-objective optimization of quality and efficiency using deep reinforcement learning
STaTRL: Spatial-temporal and text representation learning for POI recommendation
Long-term traffic forecasting based on adaptive graph cross strided convolution network
Re-weighting regression and sparsity regularization for multi-view classification
Bayesian regularization restoration algorithm for photon counting images
A hybrid offline-online method for sound event localization and detection
An immune optimization based deterministic dendritic cell algorithm
Quality prediction of multi-stage batch process based on integrated ConvBiGRU with attention mechanism
Formal Verification of Some Potential Contradictions in Knowledge Base Using a High Level Net Approach
Intra-graph and Inter-graph joint information propagation network with third-order text graph tensor for fake news detection
Forecasting and simulation of cutting force in virtual surgery based on particle filtering
A spatial interpolation based on neighbor cluster adaptive model with spatial color block clustering algorithm
Erratum to: An approach to conversational agent design using semantic sentence similarity
Efficient data distribution and results merging for parallel data clustering in mapreduce environment
A Hierarchical Neural Network Document Classifier with Linguistic Feature Selection
A geometry-aware multi-coordinate transformation fusion network for optic disc and cup segmentation
A novel approach for multi-cue feature fusion for robust object tracking
Reversible data hiding: A contemporary survey of state-of-the-art, opportunities and challenges
Designing convolutional neural networks with constrained evolutionary piecemeal training
A novel clustering algorithm based on the gravity-mass-square ratio and density core with a dynamic denoising radius
Using TF-IDF to hide sensitive itemsets
Group equivariant learning for few-shot image classification
Multi-stage attention and center triplet loss for person re-identication
BoB: an online coverage approach for multi-robot systems
GCDR: Graph Contrastive learning adversarial Defense algorithm for Recommendation
An automated fault detection system for communication networks and distributed systems
A Local context focus learning model for joint multi-task using syntactic dependency relative distance
Combined probability tests for multivariate skew normality
Semantic2Graph: graph-based multi-modal feature fusion for action segmentation in videos
Lane mark segmentation from sparse event image via lightweight large kernel network
Visual semantic navigation with real robots
An integrated framework for accurate trajectory prediction based on deep learning
TsAFN: A two-stage adaptive fusion network for multimodal sentiment analysis
Online Markov Blanket Learning for High-Dimensional Data
Comparing computational algorithms for team formation in the classroom: a classroom experience
Mind the naive forecast! a rigorous evaluation of forecasting models for time series with low predictability
An improved DPOP algorithm based on breadth first search pseudo-tree for distributed constraint optimization
Batch-normalized Mlpconv-wise supervised pre-training network in network
Collaborative attention neural network for multi-domain sentiment classification
A novel spatiotemporal attention enhanced discriminative network for video salient object detection
A hybrid short-term traffic flow forecasting model based on time series multifractal characteristics
An incomplete probabilistic linguistic multi-attribute group decision making method based on a three-dimensional trust network
Causal discovery on high dimensional data
Scene text detection by adaptive feature selection with text scale-aware loss
A novel multi-step reinforcement learning method for solving reward hacking
Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection
Population based Local Search for university course timetabling problems
A spatio-temporal grammar graph attention network with adaptive edge information for traffic flow prediction
Differential evolution with infeasible-guiding mutation operators for constrained multi-objective optimization
ReLMKG: reasoning with pre-trained language models and knowledge graphs for complex question answering
Wasserstein GAN-based architecture to generate collaborative filtering synthetic datasets
Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification
A review on collective behavior modeling and simulation: building a link between cognitive psychology and physical action
Low-contrast lesion segmentation in advanced MRI experiments by time-domain Ricker-type wavelets and fuzzy 2-means
Institution-governed cross-domain agent service cooperation: a model for trusted and autonomic service cooperation
AI-crafted narratives: an empirical study on generating interactive stories using generative pre-training transformers
Optimization of printed circuit board component placement using an efficient hybrid genetic algorithm
Chaos embedded opposition based learning for gravitational search algorithm
A link prediction algorithm based on low-rank matrix completion
Consensus guided incomplete multi-view clustering via geometric consistency learning
A sealed bid auction-based two-stage approach for a decentralized multiproject scheduling problem with resource transfers
Arithmetic optimization algorithm based on elementary function disturbance for solving economic load dispatch problem in power system
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation
ARFP: A novel adaptive recursive feature pyramid for object detection in aerial images
Efficient extraction of spatial relations for extended objects vis-à-vis human activity recognition in video
Facial StO2-based personal identification: dataset construction, feasibility study, and recognition framework
Multifidelity surrogates-assisted multi-objective particle swarm algorithm for offline data-driven optimization
AdaGuiDE: An adaptive and guided differential evolution for continuous optimization problems
An intelligent, uncertainty driven aggregation scheme for streams of ordered sets
Fine segmentation and difference-aware shape adjustment for category-level 6DoF object pose estimation
Spatial-temporal fuzzy cognitive maps based on adaptive graph learning for multivariate time series interpretable prediction
Achieving dynamic, multi-commander, multi-mission planning and execution
Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning
Clustering-based multi-featured self-supervised learning for human activities and video retrieval
Self-knowledge distillation enhanced binary neural networks derived from underutilized information
Knowledge Discovery in an Oceanographic Database
A comparative study of Chinese named entity recognition with different segment representations
Data obsolescence detection in the light of newly acquired valid observations
MMKRL: A robust embedding approach for multi-modal knowledge graph representation learning
Feature extraction of multimodal medical image fusion using novel deep learning and contrast enhancement method
Multiple attentional path aggregation network for marine object detection
Cross-lingual knowledge graph entity alignment based on relation awareness and attribute involvement
Link prediction in directed complex networks: combining similarity-popularity and path patterns mining
A brain information decomposition mechanism inspired evolutionary algorithm for large-scale multi-objective optimization
Dynamic training for handling textual label noise
Adaptive collaborative optimization of traffic network signal timing based on immune-fireworks algorithm and hierarchical strategy
Shooting review spam with a weakly supervised approach and a sentiment-distribution-oriented method
Unsupervised nested Dirichlet finite mixture model for clustering
A filter attribute selection method based on local reliable information
A novel approach to multi-attribute predictive analysis based on rough fuzzy sets
A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Aerial service vehicles for industrial inspection: task decomposition and plan execution
Long-tail session-based recommendation from calibration
A visualized fire detection method based on convolutional neural network beyond anchor
Multifactorial teaching-learning-based optimization with the diversity and triangle cooperation mechanism
Solving uncapacitated P-Median problem with reinforcement learning assisted by graph attention networks
Hierarchical framework integrating rapidly-exploring random tree with deep reinforcement learning for autonomous vehicle
An improved deep belief neural network based civil unrest event forecasting in twitter
Temporal knowledge graph reasoning based on evolutional representation and contrastive learning
A specification language for organisational performance indicators
An effective multi-level synchronization clustering method based on a linear weighted Vicsek model
RFM: response-aware feedback mechanism for background based conversation
HDML: hybrid data-driven multi-task learning for China's stock price forecast
Feature engineering of EEG applied to mental disorders: a systematic mapping study
An intelligent multiple models based predictive control scheme with its application to industrial tubular heat exchanger system
Daily power generation forecasting for a grid-connected solar power plant using transfer learning technique
Self-supervised method for 3D human pose estimation with consistent shape and viewpoint factorization
Efficient meta-heuristic approaches in solving minimal exposure path problem for heterogeneous wireless multimedia sensor networks in internet of things
A new filled function method based on adaptive search direction and valley widening for global optimization
Mining non-redundant sequential rules with dynamic bit vectors and pruning techniques
A Scalable Model of Cerebellar Adaptive Timing and Sequencing: The Recurrent Slide and Latch (RSL) Model
Neural-fuzzy with representative sets for prediction of student performance
Spatial adaptive graph convolutional network for skeleton-based action recognition
DedustNet: a frequency-dominated Swin Transformer-based wavelet network for agricultural dust removal
Prediction of MHC II-binding peptides using rough set-based rule sets ensemble
HFNF: learning a hybrid Fourier neural filter with a heterogeneous loss for sequential recommendation
A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection
Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization
Incremental trust-aware matrix factorization for recommender systems: towards Green AI
Co-clustering with augmented matrix
MKDFusion: modality knowledge decoupled for infrared and visible image fusion
Clustering via multiple kernel k-means coupled graph and enhanced tensor learning
Classifier subset selection for biomedical named entity recognition
segWCD: A new segmentation-based weak supervision neural network for building change detection
Three-way clustering ensemble based on shadowed sets with five approximation regions
LA-RCNN: Luong attention-recurrent- convolutional neural network for EV charging load prediction
Semi-supervised feature selection based on discernibility matrix and mutual information
Data-guided multi-granularity selector for attribute reduction
WSMOTER: a novel approach for imbalanced regression
Where do university graduates live? - A computer vision approach using satellite images
Forecasting PPI components using a hybrid hierarchical prediction framework with parameter adaptive transfer algorithm
PromptGNN: a prompt-enhanced graph neural network for continual learning on temporal graphs
Evolutionary many-objective algorithm with improved growing neural gas and angle-penalized distance for irregular problems
A new clustering algorithm based on connectivity
Fine-scale deep learning model for time series forecasting
SDLK-Net: Enhanced squeezed directional large kernel multi-scale multi-modal fusion network for salient object detection
From unaltered raw waveform to emotion: Synergizing convolutional and gated recurrent networks for holistic speech emotion analysis
Self-supervised deep clustering for spammer group detection
Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model
Formal transformation from fuzzy object-oriented databases to fuzzy XML
Dynamic dual attention iterative network for image super-resolution
Quantitative prediction of MHC-II peptide binding affinity using relevance vector machine
Micro-dynamics prediction of well water level based on GRU and attention mechanism
Multidirectional short-term traffic volume prediction based on spatiotemporal networks
High-order attentive graph neural network for session-based recommendation
Utilizing enhanced membership functions to improve the accuracy of a multi-inputs and single-output fuzzy system
Correction to: Coresets based asynchronous network slimming
Correlation filter tracking algorithm based on spatial-temporal regularization and context awareness
Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning
Towards a Knowledge-Level Model of Context and Context Use in Diagnostic Problems