yusuke1997/dblp-id-title huggingface dataset:
A dual transfer learning method based on 3D-CNN and vision transformer for emotion recognition
Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video
SWADA: slide-window-based active domain adaptation for cross-modality medical image segmentation
Debugging VHDL Designs: Introducing Multiple Models and First Empirical Results
An incremental rare association rule mining approach with a life cycle tree structure considering time-sensitive data
Enhancing feature information mining network for image super-resolution
Robust graph representation clustering based on adaptive data correction
SGAMTE-Net: A pedestrian trajectory prediction network based on spatiotemporal graph attention and multimodal trajectory endpoints
Incorporating emotion for response generation in multi-turn dialogues
A Path-Consistent Singleton Modeling (CSM) Algorithm for Arc-Constrained Networks
Maximum likelihood-based influence maximization in social networks
Towards accurate post-training quantization for reparameterized models
PAG-Unet: multi-task dense scene understanding with pixel-attention-guided Unet
Crowd behavior detection: leveraging video swin transformer for crowd size and violence level analysis
CAAC: An effective reinforcement learning algorithm for sparse reward in automatic control systems
Toward a paradigm for distributed intelligence
Modelling risk and return awareness for p2p lending recommendation with graph convolutional networks
Two novel deep multi-view support vector machines for multiclass classification
Theories, algorithms and applications in tensor learning
Bio-inspired metaheuristics: evolving and prioritizing software test data
A new clustering method for the diagnosis of CoVID19 using medical images
HiM: hierarchical multimodal network for document layout analysis
CI-Net: a joint depth estimation and semantic segmentation network using contextual information
A lightweight and efficient model for surface tiny defect detection
Learning discriminative features for multi-hop knowledge graph reasoning
Game-theoretic dynamic ensemble for oncogene diagnosis: integrating neighborhood and precision rough sets
An interactive network based on transformer for multimodal crowd counting
A novel locally guided genome reassembling technique using an artificial ant system
Multi-robot exploration in task allocation problem
Finding the most influential product under distribution constraints through dominance tests
Personalized recommendation with knowledge graph via dual-autoencoder
Type-adaptive graph Transformer for heterogeneous information networks
PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network
The deep fusion of topological structure and attribute information for anomaly detection in attributed networks
Imitation learning by state-only distribution matching
A new fuzzy network data envelopment analysis model for measuring efficiency and effectiveness: assessing the sustainability of railways
Mining sequential patterns with flexible constraints from MOOC data
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals
Hybrid static-sensory data modeling for prediction tasks in basic oxygen furnace process
Signature Verification by Neural Networks with Selective Attention
Principal relation component reasoning-enhanced social relation recognition
Latent feature reconstruction for unsupervised anomaly detection
A new adaptive fuzzy sliding mode control using fuzzy self-tuning for 3 DOF planar robot manipulators
Agreement/disagreement based crowd labeling
Special issue on the trends in applied intelligence systems
A template matching approach based on the behavior of swarms of locust
A local generation-mix cascade network for image translation with limited data
Multiscale dilated convolution and swin-transformer for small sample gearbox fault diagnosis
A non-parameter oversampling approach for imbalanced data classification based on hybrid natural neighbors
Lattice Structure of Temporal Interval Relations
Co-clustering based classification of multi-view data
A multigranulation rough set model based on variable precision neighborhood and its applications
A research on an intelligent multipurpose fuzzy semantic enhanced 3D virtual reality simulator for complex maritime missions
A-DBNF: adaptive deep belief network framework for regression and classification tasks
Beyond traditional steganography: enhancing security and performance with spread spectrum image steganography
FVAE: a regularized variational autoencoder using the Fisher criterion
Answers to modal and hypothetical questions in knowledge base systems
A Pareto front estimation-based constrained multi-objective evolutionary algorithm
Automatic circle detection on images using the Teaching Learning Based Optimization algorithm and gradient analysis
Exploring instance correlations with local discriminant model for multi-label feature selection
DermSegNet: smart IoT model for multi-class dermatological lesion diagnosis using adaptive segmentation and improved EfficientNetB3
Feature selection for semi-supervised multi-target regression using genetic algorithm
A day at the races
Learning with partial multi-labeled data by leveraging low-rank constraint and decomposition
Multiclass multiple kernel learning using hypersphere for pattern recognition
Building discriminative features of scene recognition using multi-stages of inception-ResNet-v2
H-BLS: a hierarchical broad learning system with deep and sparse feature learning
Computing contingency tables from sparse ADtrees
GenKP: generative knowledge prompts for enhancing large language models
Multidimensional local spatial autocorrelation measure for integrating spatial and spectral information in hyperspectral image band selection
Reasoning about networks of temporal relations and its applications to problem solving
Truss optimization with natural frequency constraints using generalized normal distribution optimization
W-net and inception residual network for skin lesion segmentation and classification
Random forest with differential privacy in federated learning framework for network attack detection and classification
Incomplete multiview clustering with bipartite tensors
A grouping particle swarm optimizer
Point-attention Net: a graph attention convolution network for point cloudsegmentation
Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification
Effective node selection technique towards sparse learning
Research on K-medoids Algorithm with Probabilistic-based Expressions and Its Applications
Experiments of Fast Learning with High Order Boltzmann Machines
Neural attention model for recommendation based on factorization machines
Anchoring actions using conditional behavior trees and genetic programming
EmNet: a deep integrated convolutional neural network for facial emotion recognition in the wild
Integration of AHP and fuzzy inference systems for empowering transformative journeys in organizations: Assessing the implementation of Industry 4.0 in SMEs
Training primal twin support vector regression via unconstrained convex minimization
Global relationship memory network for retinal capillary segmentation on optical coherence tomography angiography images
Qualitative Modelling and Analysis of Animal Behaviour
Dual-channel and multi-granularity gated graph attention network for aspect-based sentiment analysis
Time-aware hybrid expertise retrieval system in community question answering services
Probabilistic linguistic evolutionary game with risk perception in applications to carbon emission reduction decision making
A feature aggregation network for multispectral pedestrian detection
Fine-tuning more stable neural text classifiers for defending word level adversarial attacks
Privacy preservation through a greedy, distortion-based rule-hiding method
From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization
An anchor-free instance segmentation method for cells based on mask contour
Morphing aircraft acceleration and deceleration task morphing strategy using a reinforcement learning method
Multi-view co-clustering with multi-similarity
A Case-Based Model that Integrates Specific and General Knowledge in Reasoning
A time-dependent attention convolutional LSTM method for traffic flow prediction
Mathematical foundation, discussion and suggestion on penalty parameter setting of penalty-based boundary intersection method for many-objective optimization problems
Application of incremental support vector regression based on optimal training subset and improved particle swarm optimization algorithm in real-time sensor fault diagnosis
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
Porn streamer audio recognition based on deep learning and random Forest
DCADE: divide and conquer alignment with dynamic encoding for full page data extraction
NVS-Former: A more efficient medical image segmentation model
Multi-view clustering via adversarial view embedding and adaptive view fusion
Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks
Unsupervised medical images denoising via graph attention dual adversarial network
Multi-view key information representation and multi-modal fusion for single-subject routine action recognition
Solving Japanese nonograms by Taguchi-based genetic algorithm
Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm
A novel hybrid particle swarm optimization for multi-UAV cooperate path planning
Increment and decrement consistency for semi-supervised endoscopic surgical instrument segmentation
Dynamic task allocation for multi-robot search and retrieval tasks
End-to-end multidimensional interpretable tourism demand combined forecasting model based on feature fusion
Deep Learning Architecture for Computer Vision-based Structural Defect Detection
Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator
Improved versions of crow search algorithm for solving global numerical optimization problems
Neural Networks Approach to the Random Walk Dilemma of Financial Time Series
Label sparse self-representation for multi-label learning with missing labels
Few-shot defect detection using feature enhancement and image generation for manufacturing quality inspection
A wave time-varying neural network for solving the time-varying shortest path problem
Improved binary pigeon-inspired optimization and its application for feature selection
Accurate use of label dependency in multi-label text classification through the lens of causality
Cluster-infused low-rank subspace learning for robust multi-label classification
An improved MLTSVM using label-specific features with missing labels
A method of credit evaluation modeling based on block-wise missing data
A multi-feature fusion-based evolutionary algorithm for large-scale sparse multi-objective optimization problems
Application of Fuzzy Logic Controlled Cathodic Protection on Iraq-Turkey Crude Oil Pipeline
A novel multi-classifier based on a density-dependent quantized binary tree LSSVM and the logistic global whale optimization algorithm
A combined multiple action recognition and summarization for surveillance video sequences
How to learn new knowledge: a multimodal contrastive learning framework for open-world knowledge graph completion
Expanding a machine learning class towards its application to the stock market forecast
Multi-head multi-order graph attention networks
Accuracy and generalization improvement for image quality assessment of authentic distortion by semi-supervised learning
Three-way reductions of conflict analysis based on relation matrices and integration measures
Cloud robot: semantic map building for intelligent service task
Correction to: Personality-based and trust-aware products recommendation in social networks
A belief Rényi divergence for multi-source information fusion and its application in pattern recognition
Multilayer feature fusion with parallel convolutional block for fine-grained image classification
Fuzzy C-means for english sentiment classification in a distributed system
A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19
A general framework for secure biometric hashing against reconstruction attacks
A hybrid modelling method for time series forecasting based on a linear regression model and deep learning
Simple yet effective joint guidance learning for few-shot semantic segmentation
Occlusion tolerant object recognition using visual memory selection model
Adaptive patch selection to improve Vision Transformers through Reinforcement Learning
A social recommender system using deep architecture and network embedding
DOR: a novel dual-observation-based approach for recommendation systems
An event-based automatic annotation method for datasets of interpersonal relation extraction
Soft adaptive loss based Laplacian eigenmaps
LPPSLF: a lightweight privacy-preserving split learning framework for smart surveillance systems
A novel hierarchical attention-based triplet network with unsupervised domain adaptation for network intrusion detection
STemGAN: spatio-temporal generative adversarial network for video anomaly detection
Correction to: Pose pattern mining using transformer for motion classification
FasterMDE: A real-time monocular depth estimation search method that balances accuracy and speed on the edge
Robust fingerprint reconstruction using attention mechanism based autoencoders and multi-kernel autoencoders
Granularity and disaggregation in compositional modelling with applications to ecological systems
A robust missing value imputation method for noisy data
Joint neighborhood entropy-based gene selection method with fisher score for tumor classification
DCFA-iTimeNet: Dynamic cross-fusion attention network for interpretable time series prediction
QDG: A unified model for automatic question-distractor pairs generation
An Advanced Case-Knowledge Architecture Based on Fuzzy Objects
Sample separation and domain alignment complementary learning mechanism for open set domain adaptation
Attention-Based Behavioral Cloning for algorithmic trading
LSTM-SVM-Weibull modeling for decommissioning amount prediction of power batteries based on attention mechanism and ISPBO algorithm
OGM: Online gaussian graphical models on the fly
Learning facial expression-aware global-to-local representation for robust action unit detection
Inferring threats in urban environments with uncertain and approximate data: an agent-based approach
Topological enhanced graph neural networks for semi-supervised node classification
Data imputation via conditional generative adversarial network with fuzzy c mean membership based loss term
A comparative study of stochastic optimization methods in electric motor design
Multi-view contrastive learning with Static attributes and Dynamic interests for Sequential Recommendation
Linguistic Pythagorean hesitant fuzzy matrix game and its application in multi-criteria decision making
Enhanced decomposition-based hybrid evolutionary and gradient-based algorithm for many-objective optimization
On the Use of an Enhanced Hopfield Neural Model to Solve FMS Performance Optimization Problem
Joint spectral-spatial hyperspectral image classification based on hierarchical subspace switch ensemble learning algorithm
High-speed, low-power, and configurable on-chip training acceleration platform for spiking neural networks
Multi-skill resource constrained project scheduling using a multi-objective discrete Jaya algorithm
Investigating potential causes of Sepsis with Bayesian network structure learning
Design of an intelligent prediction-based neural network controller for multi-scroll chaotic systems
Multi-view dimensionality reduction learning with hierarchical sparse feature selection
Evaluating cruise user satisfaction through online reviews: a method based on sentiment analysis and large-scale group decision-making
Enhancing keyphrase extraction from long scientific documents using graph embeddings
Detection of JPEG double compression and identification of smartphone image source and post-capture manipulation
A lightweight diagnosis method for gear fault based on multi-path convolutional neural networks with attention mechanism
Bi-level decision making in techno-economic planning and probabilistic analysis of community based sector-coupled energy system
Model selection and application to high-dimensional count data clustering - via finite EDCM mixture models
Improving fashion captioning via attribute-based alignment and multi-level language model
Safe optimal robust control of nonlinear systems with asymmetric input constraints using reinforcement learning
Lung cancer classification and identification framework with automatic nodule segmentation screening using machine learning
Learning to rank through graph-based feature fusion using fuzzy integral operators
Contrastive label assignment in vehicle detection
Probability density prediction of peak load based on mixed frequency noise-assisted multivariate empirical mode decomposition
LMA: lightweight mixed-domain attention for efficient network design
Kolmogrov Anorld carbon informed network orchestration
SSRepVM-UNet: a lightweight hybrid model for medical image segmentation based on channel parallelism
Secure relay selection scheme for Traffic Congested Zone in VANET using grasshopper optimization and modified authentication key agreement algorithms
A new approach to the design of acyclic chemical compounds using skeleton trees and integer linear programming
Overview of indoor scene recognition and representation methods based on multimodal knowledge graphs
Crowd counting method based on the self-attention residual network
Rotating machinery fault diagnosis based on feature extraction via an unsupervised graph neural network
Multi-criteria expertness based cooperative Q-learning
A dynamic scheme for scheduling complex tasks in manufacturing systems based on collaboration of agents
A novel combination of second-order statistical features and segmentation using multi-layer superpixels for salient object detection
HKGAT: heterogeneous knowledge graph attention network for explainable recommendation system
Addressing robustness in time-critical, distributed, task allocation algorithms
Topology-preserving and structure-aware (hyper)graph contrastive learning for node classification
An Intelligent Lexicon for Contextual Word Sense Discrimination
Neural TV program recommendation with label and user dual attention
Cluster-based information retrieval using pattern mining
Deformable image registration with attention-guided fusion of multi-scale deformation fields
M-FFN: multi-scale feature fusion network for image captioning
A novel prediction approach based on three-way decision for cloud datacenters
DGMI: A diffusion-based generative adversarial framework for multivariate air quality imputation
Text Retrieval from Document Images Based on Word Shape Analysis
ICDN: integrating consistency and difference networks by transformer for multimodal sentiment analysis
Front-end deep learning web apps development and deployment: a review
Human-object interaction detection based on cascade multi-scale transformer
Multiview learning of homogeneous neighborhood of nodes for the node representation of heterogeneous graph
Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels
Faster horn diagnosis - a performance comparison of abductive reasoning algorithms
A Q-based policy gradient optimization approach for Doudizhu
Multi-view deep subspace clustering via level-by-level guided multi-level features learning
Low-time complexity and low-cost binary particle swarm optimization algorithm for task scheduling and load balancing in cloud computing
Time series prediction evolving Voronoi regions
A set of novel continuous action-set reinforcement learning automata models to optimize continuous functions
A brick-up model for recombining metaheuristic optimisation algorithm using analytic hierarchy process
MCDMSR: multicriteria decision making selection/replacement based on agility strategy for real optimization problems
GRU-based capsule network with an improved loss for personnel performance prediction
A novel parallel accelerated CRPF algorithm
IBMvSVM: An instance-based multi-view SVM algorithm for classification
Simultaneously construct IRT-based parallel tests based on an adapted CLONALG algorithm
Modeling multi-scale sub-group context for group activity recognition
Detecting signs of model change with continuous model selection based on descriptive dimensionality
Semantic segmentation in medical images through transfused convolution and transformer networks
Defect detection on new samples with siamese defect-aware attention network
A human-like decision intelligence for obstacle avoidance in autonomous vehicle parking
Geometrically modeled derivative feature descriptor aiding supervised shape retrieval
Joint extraction of entities and overlapping relations by improved graph convolutional networks
SSGCRTN: a space-specific graph convolutional recurrent transformer network for traffic prediction
Coarse-to-fine tuning knowledgeable system for boundary delineation in medical images
Generalized robust linear discriminant analysis for jointly sparse learning
Generalized interaction aggregation operators in intuitionistic fuzzy multiplicative preference environment and their application to multicriteria decision-making
Application of intelligence-based predictive scheme to load-frequency control in a two-area interconnected power system
Inner-imaging 3D attention module for residual network
Semi-supervised pedestrian re-identification via a teacher-student model with similarity-preserving generative adversarial networks
Computing all minimal hitting sets by subset recombination
A multi-constraint transfer approach with additional auxiliary domains for IoT intrusion detection under unbalanced samples distribution
A sentiment analysis driven method based on public and personal preferences with correlated attributes to select online doctors
Local-global methods for generalised solar irradiance forecasting
A multi-view convolutional neural network based on cross-connection and residual-wider
Distributed few-shot learning with prototype distribution correction
Inference of isA commonsense knowledge with lexical taxonomy
Infrared small target detection via region super resolution generative adversarial network
A hybrid quantum feature selection algorithm using a quantum inspired graph theoretic approach
A hybrid ant colony system algorithm for solving the ring star problem
Analysis of coordinated behavior structures with multi-agent deep reinforcement learning
Spatial Relations in Technical Domains
Signal separation and super-resolution DOA estimation based on multi-objective joint learning
Deep collaborative filtering with social promoter score-based user-item interaction: a new perspective in recommendation
PSigmoid: Improving squeeze-and-excitation block with parametric sigmoid
Wise-local response convolutional neural network based on Naïve Bayes theorem for rotating machinery fault classification
VARGAN: variance enforcing network enhanced GAN
Grey wolf optimization algorithm for facial image super-resolution
Biased sampling from facebook multilayer activity network using learning automata
An online self-organizing radial basis function neural network based on Gaussian Membership
Rethinking the framework constructed by counterfactual functional model
WaveCNNs-AT: Wavelet-based deep CNNs of adaptive threshold for signal recognition
DIPE: a diagnosis-assisted inquiry point extractor towards medical dialogues
Anomaly detection for image data based on data distribution and reconstruction
An experimental study of objective pain measurement using pupillary response based on genetic algorithm and artificial neural network
A robust projection twin support vector machine with a generalized correntropy-based loss
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