yusuke1997/dblp-id-title huggingface dataset:
A quadratic association vector and dynamic guided operator search algorithm for large-scale sparse multi-objective optimization problem
MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification
Graph representations for the analysis of multi-agent spatiotemporal sports data
Neural-network-based safe learning control for non-zero-sum differential games of nonlinear systems with asymmetric input constraints
A many-objective optimized task allocation scheduling model in cloud computing
Low-light image enhancement based on multi-illumination estimation
A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons
DO-SLAM: research and application of semantic SLAM system towards dynamic environments based on object detection
Hierarchical loop closure detection with weighted local patch features and global descriptors
A novel second-order learning algorithm based attention-LSTM model for dynamic chemical process modeling
An innovative medical image synthesis based on dual GAN deep neural networks for improved segmentation quality
Crack segmentation network based on hybrid-window transformer and dual-branch fusion
Quality-optimized predictive analytics
Dynamic feature selection algorithm based on Q-learning mechanism
A fission-fusion hybrid bare bones particle swarm optimization algorithm for single-objective optimization problems
Nonlinear system modeling using self-organizing fuzzy neural networks for industrial applications
Overlapping community detection based on discrete biogeography optimization
Deep learning in multi-object detection and tracking: state of the art
A hybrid deep learning network for forecasting air pollutant concentrations
Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network
Enhancing knowledge retention for continual learning with domain-specific adapters and features gating
Multi economic agent interaction for optimizing the aggregate utility of grid users in computational grid
Fast Gaussian kernel support vector machine recursive feature elimination algorithm
Dual ant colony optimization for electric vehicle charging infrastructure planning
An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation
Dynamic behavior of a class of neutral-type neural networks with discontinuous activations and time-varying delays
Development of an autonomous aerial vehicle: A case study
Improving covariance-regularized discriminant analysis for EHR-based predictive analytics of diseases
Semi-supervised dehazing network using multiple scattering model and fuzzy image prior
UAV target following in complex occluded environments with adaptive multi-modal fusion
A deep artificial neural network architecture for mesh free solutions of nonlinear boundary value problems
Data mining-based approach for ontology matching problem
Cost-efficient multi-service task offloading scheduling for mobile edge computing
A Monte Carlo manifold spectral clustering algorithm based on emotional preference and migratory behavior
Reparameterized dilated architecture: A wider field of view for pedestrian detection
FA3-Net: feature aggregation and augmentation with attention network for sound event localization and detection
Adaptive fuzzy-SIFT rule-based registration for 3D cardiac motion estimation
Granular-ball representation-based two-stage deep learning model for text classification
Multi-objective generalized traveling salesman problem: A decomposition approach
Unsupervised image-to-image translation via long-short cycle-consistent adversarial networks
LapRamp: a noise resistant classification algorithm based on manifold regularization
Knowledge guided relation enhancement for human-object interaction detection
A new distance-based total uncertainty measure in Dempster-Shafer evidence theory
Unsupervised Extraction of Structural Information from High Dimensional Visual Data
Incorporating Prior Knowledge in the Form of Production Rules into Neural Networks Using Boolean-Like Neurons
Multi-sensory system for UAVs detection using Bayesian inference
Using physiological signals to detect natural interactive behavior
An attribute reduction algorithm using relative decision mutual information in fuzzy neighborhood decision system
Path planning of UAV for oilfield inspections in a three-dimensional dynamic environment with moving obstacles based on an improved pigeon-inspired optimization algorithm
Multi-task visual discomfort prediction model for stereoscopic images based on multi-view feature representation
Monitoring african geopolitics: a multilingual sentiment and public attention framework
Modified swarm intelligence based techniques for the knapsack problem
Triangular mutation-based manta-ray foraging optimization and orthogonal learning for global optimization and engineering problems
MPF-Net: multi-projection filtering network for few-shot object detection
Adaptive structural enhanced representation learning for deep document clustering
Towards more accurate object detection via encoding reinforcement and multi-channel enhancement
Spatial-temporal feature refine network for single image super-resolution
MACFNet: multi-attention complementary fusion network for image denoising
Multi-document summarization via submodularity
Support vector regression with modified firefly algorithm for stock price forecasting
Transfer learning of Bayesian network for measuring QoS of virtual machines
MXQN: Mixed quantization for reducing bit-width of weights and activations in deep convolutional neural networks
STNeRF: symmetric triplane neural radiance fields for novel view synthesis from single-view vehicle images
Heterogeneous domain adaptation by semantic distribution alignment network
Regret-theory-based three-way decision making in hesitant fuzzy environments: A multi-attribute approach and its applications
Robust twin bounded support vector machines for outliers and imbalanced data
Image blurring and sharpening inspired three-way clustering approach
Decision support system for arrhythmia prediction using convolutional neural network structure without preprocessing
Semigroup of fuzzy automata and its application for fast accurate fault diagnosis on machine and anti-fatigue control
Neural network temporal quantized lagrange dynamics with cycloidal trajectory for a toe-foot bipedal robot to climb stairs
EDCWRN: efficient deep clustering with the weight of representations and the help of neighbors
Architecture and dialogue design for a voice operated information system
Fraudulent and malicious sites on the web
Sample extraction and expansion method with feature reconstruction and deformation information
DGNN-MN: Dynamic Graph Neural Network via memory regenerate and neighbor propagation
MACC Net: Multi-task attention crowd counting network
Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features
CSDTI: an interpretable cross-attention network with GNN-based drug molecule aggregation for drug-target interaction prediction
Mining profitable alpha factors via convolution kernel learning
R-SSD: refined single shot multibox detector for pedestrian detection
Performance of machine learning methods for cattle identification and recognition from retinal images
Fault diagnosis model of rolling bearing based on parameter adaptive AVMD algorithm
Critical reasoning: AI for emergency response
Clean and robust affinity matrix learning for multi-view clustering
Distributed wavelet neural networks
A two-stage adversarial Transformer based approach for multivariate industrial time series anomaly detection
Boosting an evolution strategy with a preprocessing step: application to group scheduling problem in directional sensor networks
Multiview granular data analytics based on three-way concept analysis
A manufacturing knowledge graph completion method based on a lightweight dual encoding model
Recognition-oriented facial depth estimation from a single image
A normalized projection-based group decision-making method with heterogeneous decision information and application to software development effort assessment
SPORE: shortest path overlapped regions and confined traversals towards graph clustering
Spatial-temporal context-aware network for 3D-Craft generation
Erratum to: A mathematical model for solving fully fuzzy linear programming problem with trapezoidal fuzzy numbers
Social velocity based spatio-temporal anomalous daily activity discovery of social media users
Feature Competitive Algorithm for Dimension Reduction of the Self-Organizing Map Input Space
Light-YOLOv3: fast method for detecting green mangoes in complex scenes using picking robots
A robust fuzzy multi-objective location-routing problem for hazardous waste under uncertain conditions
2-SPIFF: a 2-stage packer identification method based on function call graph and file attributes
Bi-directional matrix completion for highly incomplete multi-label learning via co-embedding predictive side information
A hybrid estimation of distribution algorithm for flexible job-shop scheduling problems with process plan flexibility
ZPDSN: spatio-temporal meteorological forecasting with topological data analysis
A hybrid genetic-particle swarm optimizer using precise mutation strategy for computationally expensive problems
Random area-perimeter method for generation of unimodal and multimodal cancelable biometric templates
Data association and loop closure in semantic dynamic SLAM using the table retrieval method
Global-patch-hybrid template-based arbitrary object tracking with integral channel features
Test minimization for human-computer interaction
A complete consumer behaviour learning model for real-time demand response implementation in smart grid
Understanding and leveraging vocoder fingerprints for synthetic speech attribution
IMSFNet: integrated multi-source feature network for salient object detection
Deep context transformer: bridging efficiency and contextual understanding of transformer models
OLAP cube partitioning based on association rules method
CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection
Distribution-dependent feature selection for deep neural networks
Federated fine-grained prompts for vision-language models based on open-vocabulary object detection
Cultural relic image restoration using two-stage transformer-CNN framework
Research on full lifecycle health management of permanent magnet synchronous electric drum driven by digital twin with dynamic update
Managing dynamic CSPs with preferences
A novel immune detector training method for network anomaly detection
Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers
MVC-HGAT: multi-view contrastive hypergraph attention network for session-based recommendation
Formal and relational concept analysis for fuzzy-based automatic semantic annotation
Ensemble selection by GRASP
Two-stage clustering algorithm based on evolution and propagation patterns
UAMNer: uncertainty-aware multimodal named entity recognition in social media posts
A mnemonic shuffled frog leaping algorithm with cooperation and mutation
A weakly supervised spatial group attention network for fine-grained visual recognition
Updating Siamese trackers using peculiar mixup
Supersonic, variable-throat, blow-down wind tunnel control using genetic algorithms, neural networks, and gain scheduled PID
Learning bi-grained cross-correlation siamese networks for visual tracking
Robust unsupervised feature selection based on matrix factorization with adaptive loss via bi-stochastic graph regularization
Dual-path hypernetworks of style and text for one-shot domain adaptation
Correction to: Embedded mutual learning: a novel online distillation method integrating diverse knowledge sources
Discovering a cohesive football team through players' attributed collaboration networks
Total utility of Z-number
Runtime analysis of adaptive selection variation operators in evolutionary algorithm with reinforcement learning
Fake advertisements detection using automated multimodal learning: a case study for Vietnamese real estate data
Reinforcement learning based time-varying formation control for quadrotor unmanned aerial vehicles system with input saturation
Dictionary learning and face recognition based on sample expansion
Improving diversity and discriminability based implicit contrastive learning for unsupervised domain adaptation
Block-sparse CNN: towards a fast and memory-efficient framework for convolutional neural networks
An improved multi-focus image fusion algorithm based on multi-scale weighted focus measure
Supervised contrastive learning with corrected labels for noisy label learning
Text Mining Techniques to Automatically Enrich a Domain Ontology
Dark-ControlNet: an enhanced dehazing universal plug-in based on the dark channel prior
Optimal controller placement in large scale software defined networks based on modified NSGA-II
Semantic segmentation in power grid scenarios using scale-transforming transformer
Real-time manufacturing process monitoring using GRU with PSO algorithm
Bayes-DCGRU with bayesian optimization for rolling bearing fault diagnosis
Multi-functional scar tissue discrimination platform construction and exploration of molecular mechanism for scar formation
A new keypoint-based copy-move forgery detection for color image
WDIBS: Wasserstein deterministic information bottleneck for state abstraction to balance state-compression and performance
Explainable global error weighted on feature importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation
Robust energy-based least squares twin support vector machines
QCBA: improving rule classifiers learned from quantitative data by recovering information lost by discretisation
A semantic-enhanced trust based recommender system using ant colony optimization
A novel order evaluation model with nested probabilistic-numerical linguistic information applied to traditional order grabbing mode
A coordinated many-objective evolutionary algorithm using random adaptive parameters
Detection and localization of splicing on remote sensing images using image-to-image transformation
Application of a dense fusion attention network in fault diagnosis of centrifugal fan
A comprehensive survey of imputation methods in medical missing data analysis
Learning background-aware and spatial-temporal regularized correlation filters for visual tracking
Boost two-view learning-based method for label proportions problem
A robust occlusion-adaptive attention-based deep network for facial landmark detection
High-practicability image completion using attention mechanism and joint enhancive discriminator
Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization
CLDM-Palm: A controllable latent diffusion model for high-fidelity palmprint generation based on Bézier curves
WLKA-RVS: a retinal vessel segmentation method using weighted large kernel attention
Complex product network change prediction method based on GANs with small sample data
Learning adaptive trust strength with user roles of truster and trustee for trust-aware recommender systems
A master-apprentice evolutionary algorithm for maximum weighted set K-covering problem
Towards non-linear regression-based prediction of use case point (UCP) metric
A fuzzy rough set approach to hierarchical feature selection based on Hausdorff distance
Overview of the application of intelligent optimization algorithms in multi-attribute group decision making
EFTNet: an efficient fine-tuning method for few-shot segmentation
A competitive benchmarking among geometric deep learning, generative adversarial network, and point transformer for 3-D skull part segmentation
FHGSO: Flower Henry gas solubility optimization integrated deep convolutional neural network for image classification
A novel attribute reduction method based on intuitionistic fuzzy three-way cognitive clustering
A discriminative multiple-manifold network for image set classification
The GA-based algorithms for optimizing hiding sensitive itemsets through transaction deletion
A robust feature matching algorithm based on adaptive feature fusion combined with image superresolution reconstruction
Robust decision-making for autonomous vehicles via deep reinforcement learning and expert guidance
Modeling different effects of user and product attributes on review sentiment classification
Hypergraph denoising neural network for session-based recommendation
Two-stage anomaly detection algorithm via dynamic community evolution in temporal graph
HRANet: Hierarchical region-aware network for crowd counting
Spatiotemporal decoupling-gated transformer: modeling high-dimensional coupling for traffic flow prediction
A wireless sensor node deployment scheme based on embedded virtual force resampling particle swarm optimization algorithm
Homogeneous ensemble extreme learning machine autoencoder with mutual representation learning and manifold regularization for medical datasets
Separable N-soft sets: A tool for multinary descriptions with large-scale parameter sets
A multi objective volleyball premier league algorithm for green scheduling identical parallel machines with splitting jobs
OTMKGRL: a universal multimodal knowledge graph representation learning framework using optimal transport and cross-modal relation
Dual-branch network via pseudo-label training for thyroid nodule detection in ultrasound image
An improved data characterization method and its application in classification algorithm recommendation
A machine learning attack against variable-length Chinese character CAPTCHAs
FMDADA: Federated multi-discriminative adversarial domain adaptation
Depth scale balance saliency detection with connective feature pyramid and edge guidance
FMCF: Few-shot Multimodal aspect-based sentiment analysis framework based on Contrastive Finetuning
An Architecture for Planning in Embedded Systems
Resolution-sensitive self-supervised monocular absolute depth estimation
Integrated self-supervised label propagation for label imbalanced sets
MGMP: Multi-granularity semantic relation learning and meta-path structure interaction learning for fake news detection
A new method for positive and unlabeled learning with privileged information
Advanced stacking models for machine fault diagnosis with ensemble trees and SVM
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
A new framework for metaheuristic-based frequent itemset mining
Embedding Branch and Bound within Evolutionary Algorithms
Synthetic CT images for semi-sequential detection and segmentation of lung nodules
A compact genetic algorithm for the network coding based resource minimization problem
STR Transformer: A Cross-domain Transformer for Scene Text Recognition
Community-based influence maximization for viral marketing
1-D multi-channel CNN with transfer functions for inverse electromagnetic behaviors modeling and design optimization of high-dimensional filters
A new framework for intelligent fault diagnosis of spiral bevel gears with unbalanced data
Efficient approaches for ℓ 2-ℓ 0 regularization and applications to feature selection in SVM
Dual-view graph convolutional network for multi-label text classification
Using known nonself samples to improve negative selection algorithm
An adaptive mutation for cartesian genetic programming using an ε-greedy strategy
LCRCA: image super-resolution using lightweight concatenated residual channel attention networks
A spatial and temporal features mixture model with body parts for video-based person re-identification
Correction to: Fusion of overexposed and underexposed images using caputo differential operator for resolution and texture based enhancement
Enhancing few-shot learning using targeted mixup
Localized shapelets selection for interpretable time series classification
Graph-based multi agent reinforcement learning for on-ramp merging in mixed traffic
A hybrid evolutionary algorithm with guided mutation for minimum weight dominating set
Spatial-temporal correlated graph neural networks based on neighborhood feature selection for traffic data prediction
A Cluster-based Stratified Hybrid Decision Support Model under Uncertainty: Sustainable Healthcare Landfill Location Selection
A novel classification method based on an online extended belief rule base with a human-in-the-loop strategy
Improving the transferability of adversarial attacks via self-ensemble
Weighted frequent sequential pattern mining
Feature selection considering weighted relevancy
MSLP-Gruformer: a hybrid model based on iTransformer for day-ahead photovoltaic power forecasting
Recursive least squares method for training and pruning convolutional neural networks
Space, Time, and Computation: Trends and Problems
An empirical study of ensemble techniques for software fault prediction
Parallel clustering of high dimensional data by integrating multi-objective genetic algorithm with divide and conquer
Mining frequent weighted utility patterns with dynamic weighted items from quantitative databases
The representation of fuzzy relational production rules
Cross modality person re-identification via mask-guided dynamic dual-task collaborative learning
Chaotic arithmetic optimization algorithm
Parameter estimation of vertical takeoff and landing aircrafts by using a PID controlling particle swarm optimization algorithm
Parallel gravitational clustering based on grid partitioning for large-scale data
Segmentation mask-guided person image generation
FineDiffusion: scaling up diffusion models for fine-grained image generation with 10,000 classes
Multimodal information fusion detection of fall-related disability based on video images and sensing signals
Adaptive distance penalty based nonnegative low-rank representation for semi-supervised learning
Debugging Hardware Designs Using a Value-Based Model
MEAD: a Mask-guidEd Anchor-free Detector for oriented aerial object detection
OSAF-Net: A one-stage anchor-free detector for small-target crop pest detection
D 2 M: Decomposition-diffusion model for enhanced multimodal sentiment analysis
Self-attention enhanced CNNs with average margin loss for chinese zero pronoun resolution
Efficient quantile tracking using an oracle
Detection of H.266/VVC video transcoding based on refined block partition and filtering modes statistics in coding domain
Knowledge-enhanced multi-task recommendation in hyperbolic space
Dual-branch contrastive learning for weakly supervised object localization
DFPN: a dynamic fusion prototypical network for few-shot learning
LSTM-based text analysis to automatically adapt cyberattack detection capabilities
Label flipping attacks against Naive Bayes on spam filtering systems
Self-training transformer for source-free domain adaptation
Uncovering connections: a reference network approach to statute law retrieval
Feature selection optimized by the artificial immune algorithm based on genome shuffling and conditional lethal mutation
V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model
A Comparison of Experimental Results with an Evolution Strategy and Competitive Neural Networks for Near Real-Time Color Quantization of Image Sequences
Printed Circuit Board Design via Organizational-Learning Agents
Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
Retraction Note: Incremental deep forest for multi-label data streams learning
An efficient database transitive closure algorithm
Searching the Solution Space in Constructive Geometric Constraint Solving with Genetic Algorithms
Novel adaptive predefined-time complete tracking control of nonlinear systems via ELM
Focused random walk with probability distribution for SAT with long clauses
Semisupervised anomaly detection of multivariate time series based on a variational autoencoder
Manifold and patch-based unsupervised deep metric learning for fine-grained image retrieval
ITFD: an instance-level triplet few-shot detection network under weighted pair-resampling
Improving environmental awareness for autonomous vehicles
Frobenius norm-regularized robust graph learning for multi-view subspace clustering