yusuke1997/dblp-id-title huggingface dataset:
An automatic segmentation framework of quasi-periodic time series through graph structure
An adaptive GP-based memetic algorithm for symbolic regression
Automatic segmentation of thyroid with the assistance of the devised boundary improvement based on multicomponent small dataset
An ensemble learning model for preference-geographical aware point-of interest recommendation
Anchor Free remote sensing detector based on solving discrete polar coordinate equation
Adaptive sparse graph learning for multi-view spectral clustering
Gradient-based elephant herding optimization for cluster analysis
Dynamic planning approach to automated web service composition
A new truncated non-convex loss based support vector machine for robust binary classification
SSGait: enhancing gait recognition via semi-supervised self-supervised learning
Adversarial domain adaptation with CLIP for few-shot image classification
Social network alignment: a bi-layer graph attention neural networks based method
SimGNN: simplified graph neural networks for session-based recommendation
WRGAT-PTBERT: weighted relational graph attention network over post-trained BERT for aspect based sentiment analysis
A GRASP-based metaheuristic for the Berth Allocation Problem and the Quay Crane Assignment Problem by managing vessel cargo holds
Particle Swarm Optimization and Hill Climbing for the bandwidth minimization problem
Pyramid-dilated deep convolutional neural network for crowd counting
Breaking barriers in hotspot mining: a novel approach to reflecting domain characteristics and correlations
An effective method for classification with missing values
TDG4MSF: A temporal decomposition enhanced graph neural network for multivariate time series forecasting
Graph contrastive learning with cross-encoder for community discovery
Joint label-specific features and label correlation for multi-label learning with missing label
Multi-attribute group decision-making model for selecting the most suitable construction company using the linguistic interval-valued T-spherical fuzzy TOPSIS method
A self-supervised anomalous machine sound detection model based on spectrogram decomposition and parallel sub-network
A framework for formal modeling and analysis of organizations
Agent-Based Simulation of Animal Behaviour
Influence maximization based on community structure and second-hop neighborhoods
Multi-population co-genetic algorithm with double chain-like agents structure for parallel global numerical optimization
LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning
Harmful data enhanced anomaly detection for quasi-periodic multivariate time series
Feature selections based on uncertainty measurements from dual-quantitative improvement and double-hierarchical fusion
A QoS-Tunable Scheme for ATM Cell Scheduling Using Evolutionary Fuzzy System
SimRMKGC: Simple relational contrastive learning on multilingual knowledge graph completion
Multi-view pre-trained transformer via hierarchical capsule network for answer sentence selection
Programming model-based method for ranking objects from group decision making with interval-valued hesitant fuzzy preference relations
On solving the SPL problem using the concept of probability flux
Quantum-inspired cuckoo co-search algorithm for no-wait flow shop scheduling
DyGCN-LSTM: A dynamic GCN-LSTM based encoder-decoder framework for multistep traffic prediction
Semantic-consistent learning for one-shot joint entity and relation extraction
Optimal economic dispatch with valve loading effect using self-adaptive firefly algorithm
Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics
Dual channel group-aware graph convolutional networks for collaborative filtering
SparseGraphX: exponentially regularized optimal sparse graph for enhanced label propagation
Single image dehazing using gradient channel prior
Enhanced generative adversarial networks for bearing imbalanced fault diagnosis of rotating machinery
HyperLips: hyper control lips with high resolution decoder for talking face generation
Clinical data analysis based on iterative subgroup discovery: experiments in brain ischaemia data analysis
Calibrating TabTransformer for financial misstatement detection
Modeling knowledge proficiency using multi-hierarchical capsule graph neural network
Swin transformer-based supervised hashing
Contradiction neutralization for interpreting multi-layered neural networks
The design of error-correcting output codes algorithm for the open-set recognition
A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors
Multi-GPU approach to global induction of classification trees for large-scale data mining
Speeding up global optimization with the help of intelligent supervisors
Multi-step spatio-temporal passenger flow prediction based on a dual-layer convolutional long short-term memory model with residual correction
Mapless autonomous navigation for UGV in cluttered off-road environment with the guidance of wayshowers using deep reinforcement learning
Majority-to-minority resampling for boosting-based classification under imbalanced data
Fuzzy particle swarm optimization algorithms for the open shortest path first weight setting problem
Large-area damage inpainting of ancient paintings based on spatial Fourier convolution
The graph-based behavior-aware recommendation for interactive news
Principled Modeling and Automatic Classification for Enhancing the Reusability of Problem Solving Methods of Expert Systems
Triangular coil pattern of local radius of gyration face for heterogeneous face recognition
A backtracking differential evolution with multi-mutation strategies autonomy and collaboration
Formal approach for reengineering fuzzy XML in fuzzy object-oriented databases
Multi-objective Genetic Algorithms for grouping problems
A novel quantum inspired algorithm for sparse fuzzy cognitive maps learning
GCHGAT: pedestrian trajectory prediction using group constrained hierarchical graph attention networks
A new parameter reduction algorithm for soft sets based on chi-square test
Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition
A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows
Amplitude transformed quantum convolutional neural network
Dual-view co-contrastive learning for multi-behavior recommendation
Prototypes guided model transformations between personalization and generalization in federated learning
Enhancing cooperation by cognition differences and consistent representation in multi-agent reinforcement learning
Graphs get personal: learning representation with contextual pretraining for collaborative filtering
Towards efficient local search for the minimum total dominating set problem
ENG-Face: cross-domain heterogeneous face synthesis with enhanced asymmetric CycleGAN
Transformer models used for text-based question answering systems
CMA-ES hyperparameter optimization of the densenet model for biometric retina identification
Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification
A deep learning system that generates quantitative CT reports for diagnosing pulmonary Tuberculosis
A novel cooperative path planning method based on UCR-FCE and behavior regulation for large-scale multi-robot system
Vision-based real-time traffic flow monitoring system for road intersections in Dhaka city
Confidence interval for micro-averaged F 1 and macro-averaged F 1 scores
Tensor completion via hybrid shallow-and-deep priors
Automated parameter tuning as a bilevel optimization problem solved by a surrogate-assisted population-based approach
Multi-view multi-label learning for label-specific features via GLocal Shared Subspace Learning
MSR-GAN: multi-scales decomposition representations for unsupervised anomaly detection
Modeling essay grading with pre-trained BERT features
A new collaborate neuro-dynamic framework for solving convex second order cone programming problems with an application in multi-fingered robotic hands
Dual-stream GNN fusion network for hyperspectral classification
A modified genetic algorithm for forecasting fuzzy time series
NeuroMoCo: a neuromorphic momentum contrast learning method for spiking neural networks
An effective dynamical evaluation and optimization mechanism for accurate motion primitives learning
Application of Kernel-Based Feature Space Transformations and Learning Methods to Phoneme Classification
Augmenting the Discrimination Power of HMM by NN for On-Line Cursive Script Recognition
A two-stage approach for identifying and interpreting self-admitted technical debt
Three-way selection random forest algorithm based on decision boundary entropy
Response index: quantitative evaluation index of translational equivariance
Self-attention based convolutional-LSTM for android malware detection using network traffics grayscale image
PTLO: A model-agnostic training strategy based on progressive training and label optimization for fine-grained image classification
Aspect based sentiment analysis with instruction tuning and external knowledge enhanced dependency graph
Measuring the outcome of movement-based three-way decision using proportional utility functions
MSTD: A multimodal vehicle trajectory prediction method based on multi-level spatiotemporal decoupling
A link prediction method based on compressed sensing for social networks
One-class naïve Bayes with duration feature ranking for accurate user authentication using keystroke dynamics
MHRE: Multivariate link prediction method for medical hyper-relational facts
Recognition of Handwritten ZIP Codes in a Real-World Non-Standard-Letter Sorting System
Mining sequential rules with itemset constraints
sEMG-based upper limb motion recognition using improved sparrow search algorithm
Discrete gbest-guided artificial bee colony algorithm for cloud service composition
Vehicle re-identification based on keypoint segmentation of original image
Gesture recognition with a 2D low-resolution embedded camera to minimise intrusion in robot-led training of children with autism spectrum disorder
A brain storm optimization algorithm with feature information knowledge and learning mechanism
Experiments in Active Vision with Real and Virtual Robot Heads
Topic relevance and temporal activity-aware influence maximization in social network
Multi-optimization scheme for in-situ training of memristor neural network based on contrastive learning
Uniform distribution driven adaptive differential evolution
Decomposed-distance weighted optimal transport for unsupervised domain adaptation
Identifying dominant emotional state using handwriting and drawing samples by fusing features
Enhancing multi-objective evolutionary neural architecture search with training-free Pareto local search
Incorporating a new perspective of Z-number into ELECTRE II with group consensus involving reliance degree and prospect theory
Improving knowledge graph completion via increasing embedding interactions
Towards Incremental Parsing of Natural Language Using Recursive Neural Networks
The impact of time windows constraints on metaheuristics implementation: a study for the Discrete and Dynamic Berth Allocation Problem
Control of traffic network signals based on deep deterministic policy gradients
A systematic review of semantic segmentation methods for histopathology images: a focused survey on breast, colon, and prostate cancers
Graph-based induction as a unified learning framework
Deep neural network for beam hardening artifacts removal in image reconstruction
A masked autoencoder network for spatiotemporal predictive learning
EDOA: An Elastic Deformation Optimization Algorithm
Blockchain based Chaotic Deep GAN Encryption scheme for securing medical images in a cloud environment
HSTforU: anomaly detection in aerial and ground-based videos with hierarchical spatio-temporal transformer for U-net
Syntactic and semantic analysis network for aspect-level sentiment classification
Integrating multi-objective genetic algorithm based clustering and data partitioning for skyline computation
A new multi-task learning method with universum data
Two-stage graph attention networks and Q-learning based maintenance tasks scheduling
The aLS-SVM based multi-task learning classifiers
Fuzzy reinforced hyperbox neural network: analysis and design
On-Line Shape Recognition with Incremental Training Using Binary Synaptic Weights Algorithm
An automatic hyperparameter optimization DNN model for precipitation prediction
Unsupervised RGB-T saliency detection by node classification distance and sparse constrained graph learning
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform
EGNet: explainable graph neural network with similarity explanation for medication recommendation
Diverse dialogue generation by fusing mutual persona-aware and self-transferrer
D-ANP: a multiple criteria decision making method for supplier selection
XCS-based reinforcement learning algorithm for motion planning of a spherical mobile robot
Improving recommender system via knowledge graph based exploring user preference
Three-way conflict analysis: Relative alliance, neutrality, and conflict reducts in a three-valued decision situation table
Case learning for CBR-based collision avoidance systems
FPANet: Feature pyramid aggregation network for real-time semantic segmentation
A supervised machine learning framework with combined blocking for detecting serial crimes
A local multi-granularity fuzzy rough set method for multi-attribute decision making based on MOSSO-LSTM and its application in stock market
SPPC: a new tree structure for mining erasable patterns in data streams
Engineering Intelligent Systems, Introduction
A classification method of marine mammal calls based on two-channel fusion network
A multiagent framework for coordinated parallel problem solving
Fuzzy mathematical morphology for biological image segmentation
Hardware-Software Partitioning at the Knowledge Level
Design and analysis of distributed load management: Mobile agent based probabilistic model and fuzzy integrated model
Cross attention fusion for knowledge graph optimized recommendation
Knowledge Integration in a Multiple Classifier System
DF 2 Net: deformable fourier filter network for hyperspectral image classification
Correction to: a network method to identify the dynamic changes of the data flow with spatio-temporal feature
Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification
Improving exchange rate forecasting via a new deep multimodal fusion model
BiNext-Cervix: A novel hybrid model combining BiFormer and ConvNext for Pap smear classification
PhraseTransformer: an incorporation of local context information into sequence-to-sequence semantic parsing
Cornerstone network with feature extractor: a metric-based few-shot model for chinese natural sign language
Cross-scale condition aggregation and iterative refinement for copy-move forgery detection
LDN-RC: a lightweight denoising network with residual connection to improve adversarial robustness
Distractor-aware visual tracking using hierarchical correlation filters adaptive selection
Multi-view visual Bayesian personalized ranking for restaurant recommendation
An optimized classification algorithm by BP neural network based on PLS and HCA
Classifier Architectures for Single Chamber Arrhythmia Recognition
Knowledge graph relation prediction based on graph transformation
AFSRNet: learning local descriptors with adaptive multi-scale feature fusion and symmetric regularization
An efficient algorithm for mining periodic high-utility sequential patterns
A self-organizing map based hybrid chemical reaction optimization algorithm for multiobjective optimization
Feature selection based on multi-perspective dynamic neighbourhood entropy measures in a dynamic neighbourhood rough set
Momentum memory contrastive learning for transfer-based few-shot classification
Intuitionistic fuzzy hybrid arithmetic and geometric aggregation operators for the decision-making of mechanical design schemes
The consistency and consensus analysis for group decision-making with incomplete linguistic interval-valued intuitionistic fuzzy preference relations
Locality kernels for sequential data and their applications to parse ranking
Tensor completion via leverage sampling and tensor QR decomposition for network latency estimation
Learning promotion policies with attention-based deep Q-networks
Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment
Joint discriminative subspace and distribution adaptation for unsupervised domain adaptation
Knowledge graph network-driven process reasoning for laser metal additive manufacturing based on relation mining
UCRT: a two-stage noisy label learning framework with uniform consistency selection and robust training
Probabilistic autoencoder with multi-scale feature extraction for multivariate time series anomaly detection
A robust zero-watermarking algorithm for lossless copyright protection of medical images
Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks
A modified brain storm optimization algorithm with a special operator to solve constrained optimization problems
Causal inference and Bayesian network structure learning from nominal data
A process-centric performance management in a call center
Ensemble OS-ELM based on combination weight for data stream classification
Self-triggered adjustable prescribed performance control for stochastic multiagent systems with communication faults
SCL-IKD: intermediate knowledge distillation via supervised contrastive representation learning
Nonlinear quantization on Hebbian-type associative memories
Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering
Intention-aware neural networks with session disentanglement for noise filtering in session-based recommendation
New and used temporal models: An issue of time
Key attribute generation from review texts based on in-context learning for recommender systems
An efficient EEG signal fading processing framework based on the cognitive limbic system and deep learning
RGB-T salient object detection via excavating and enhancing CNN features
Multi-layer ontology based information fusion for situation awareness
A general multi-scale image classification based on shared conversion matrix routing
A visual design-based intervention model for reducing mind wandering in online learning
Fast, small and robust hyperspectral 3DGS based on spectral compression
A novel approach to discover frequent weighted subgraphs using the average measure
Multiple allocation p-hub location problem for content placement in VoD services: a differential evolution based approach
Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function
A least squares support vector machine model optimized by moth-flame optimization algorithm for annual power load forecasting
A relative labeling importance estimation algorithm based on global-local label correlations for multi-label learning
Salient and consensus representation learning based incomplete multiview clustering
Learning quadrupedal locomotion on tough terrain using an asymmetric terrain feature mining network
Correction to: Detection and localization of splicing on remote sensing images using image-to-image transformation
Graph-optimized coupled discriminant projections for cross-view gait recognition
Hierarchical attention and feature projection for click-through rate prediction
Hybrid cost and time path planning for multiple autonomous guided vehicles
Attention-based spatial-temporal synchronous graph convolution networks for traffic flow forecasting
Integrated BWM-Entropy weighting and MULTIMOORA method with probabilistic linguistic information for the evaluation of Waste Recycling Apps
Self-supervised variational autoencoder towards recommendation by nested contrastive learning
DGT: Depth-guided RGB-D occluded target detection with transformers
Sparse and robust SVM classifier for large scale classification
Efficient and adaptive incentive selection for crowdsourcing contests
Multi-instance iris remote authentication using private multi-class perceptron on malicious cloud server
ULDC: uncertainty-based learning for deep clustering
Fraud detection for job placement using hierarchical clusters-based deep neural networks
HM-DRL: Enhancing multi-agent pathfinding with a heatmap-based heuristic for distributed deep reinforcement learning
Hierarchical interactive multi-granularity co-attention embedding to improve the small infrared target detection
Data Mining and Machine Oriented Modeling: A Granular Computing Approach
One-bit distributed compressed sensing with partial gaussian circulant matrices
Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems
Generating relation-specific weights for ConvKB using a HyperNetwork architecture
GEAMAS: A Generic Architecture for Agent-Oriented Simulations of Complex Processes
Adversarial training with Wasserstein distance for learning cross-lingual word embeddings
A synthetic neighborhood generation based ensemble learning for the imbalanced data classification
DIResUNet: Architecture for multiclass semantic segmentation of high resolution remote sensing imagery data
A new asynchronous reinforcement learning algorithm based on improved parallel PSO
Continual meta-learning algorithm
A Model-Based Diagnosis System for Identifying Faulty Components in Digital Circuits
ABUSDet: A Novel 2.5D deep learning model for automated breast ultrasound tumor detection
Multi-target regression via self-parameterized Lasso and refactored target space
A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification
A novel feature selection approach with Pareto optimality for multi-label data
MuseFlow: music accompaniment generation based on flow
External information-augmented contrastive learning framework for fake news detection
Clustering documents in evolving languages by image texture analysis
KnowGNN: a knowledge-aware and structure-sensitive model-level explainer for graph neural networks
A filter-based bare-bone particle swarm optimization algorithm for unsupervised feature selection
Document-level relation extraction via commonsense knowledge enhanced graph representation learning
A new co-evolutionary decomposition-based algorithm for bi-level combinatorial optimization
Boosting learning and inference in Markov logic through metaheuristics
Scribble-attention hierarchical network for weakly supervised salient object detection in optical remote sensing images
Data mining-based methods for fault isolation with validated FMEA model ranking
A hypervolume-based evolutionary algorithm for rescue robot assignment problem of nuclear accident
Group influence based improved firefly algorithm for Design Space Exploration of Datapath resource allocation
FB-GSA: A fuzzy bi-level programming based gravitational search algorithm for unconstrained optimization
STA-Net: spatial-temporal attention network for video salient object detection
Optimized PSO algorithm based on the simplicial algorithm of fixed point theory
GABF: genetic algorithm with base fitness for obtaining generality from partial results: study in autonomous intersection by fuzzy logic
Clothing fashion style recognition with design issue graph
Predict industrial equipment failure with time windows and transfer learning
Dynamic obstacle avoidance and grasping planning for mobile robotic arm in complex environment based on improved TD3
Dynamic stock-decision ensemble strategy based on deep reinforcement learning
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting
Generalized nonconvex regularization for tensor RPCA and its applications in visual inpainting