yusuke1997/dblp-id-title huggingface dataset:
Multi-scale patch-GAN with edge detection for image inpainting
A knowledge graph completion model based on weighted fusion description information and transform of the dimension and the scale
Adapting k -means for supervised clustering
A new firefly algorithm with mean condition partial attraction
A novel classification method based on ICGOA-KELM for fault diagnosis of rolling bearing
Improved differential evolution based on multi-armed bandit for multimodal optimization problems
Adaptive graph generation based on generalized pagerank graph neural network for traffic flow forecasting
An effective algorithm for genealogical graph partitioning
2M-NER: contrastive learning for multilingual and multimodal NER with language and modal fusion
Escape velocity centrality: escape influence-based key nodes identification in complex networks
Effective shortcut technique for generative adversarial networks
Relational reasoning and adaptive fusion for visual question answering
CMGAN: A generative adversarial network embedded with causal matrix
A novel video-based pedestrian re-identification method of sequence feature distribution similarity measurement combined with deep learning
A mix-supervised unified framework for salient object detection
Intelligent abnormal behavior detection using double sparseness method
Multi-hop analysis method for rich-club phenomenon of influence maximization in social networks
Semi-supervised regression via embedding space mapping and pseudo-label smearing
User re-identification via human mobility trajectories with siamese transformer networks
Deep convolutional self-paced clustering
AdaFT: An efficient domain-adaptive fine-tuning framework for sentiment analysis in chinese financial texts
Intelligent mask image reconstruction for cardiac image segmentation through local-global fusion
An interactive optimization approach to a real-world oceanographic campaign planning problem
CEKD: Cross ensemble knowledge distillation for augmented fine-grained data
Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images
LTCSO/D: a large-scale tri-particle competitive swarm optimizer based on decomposition for multiobjective optimization
A multi-level approach to ubiquitous modeling and solving constraints in combinatorial optimization problems in production and distribution
Image generation with self pixel-wise normalization
Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data
Making attention mechanisms more robust and interpretable with virtual adversarial training
AdaDeepStream: streaming adaptation to concept evolution in deep neural networks
Hypergraph regularized low-rank tensor multi-view subspace clustering via L1 norm constraint
One image for one strategy: human grasping with deep reinforcement based on small-sample representative data
Parameters for Utilitarian Desires in a Qualitative Decision Theory
Effective inter-aspect words modeling for aspect-based sentiment analysis
A DRL based cooperative approach for parking space allocation in an automated valet parking system
A scalable parallel Chinese online encyclopedia knowledge denoising method based on entry tags and Spark cluster
Enhanced semantic representation learning for implicit discourse relation classification
SE-YOLOv4: shuffle expansion YOLOv4 for pedestrian detection based on PixelShuffle
A memetic algorithm for the quadratic multiple container packing problem
A dynamic access control model
A genetically optimized level set approach to segmentation of thyroid ultrasound images
Channel enhanced cross-modality relation network for visible-infrared person re-identification
A Fuzzy Diagnostic Model and Its Application in Automotive Engineering Diagnosis
A phased intelligent algorithm for dynamic seru production considering seru formation changes
Multimodal intent recognition based on text-guided cross-modal attention
Robust semi-supervised data representation and imputation by correntropy based constraint nonnegative matrix factorization
A novel logarithmic operational law and aggregation operators for trapezoidal neutrosophic number with MCGDM skill to determine most harmful virus
Gradient-only surrogate to resolve learning rates for robust and consistent training of deep neural networks
Multi-instance learning based on spatial continuous category representation for case-level meningioma grading in MRI images
A new hyper-parameter optimization method for machine learning in fault classification
Pose pattern mining using transformer for motion classification
Semi-supervised heterogeneous graph contrastive learning with label-guided
Possibility Theory in Constraint Satisfaction Problems: Handling Priority, Preference and Uncertainty
Multi-view multi-label learning with double orders manifold preserving
Skin cancer extraction with optimum fuzzy thresholding technique
Iterative algorithm for interactive co-segmentation using semantic information propagation
An interpretable regression approach based on bi-sparse optimization
MBGNet:Multi-branch boundary generation network with temporal context aggregation for temporal action detection
Zero-shot learning based cross-lingual sentiment analysis for sanskrit text with insufficient labeled data
A graph-based QoS prediction approach for web service recommendation
DECA: a novel multi-scale efficient channel attention module for object detection in real-life fire images
A novel compact fireworks algorithm for solving ontology meta-matching
Multi-view fusion segmentation for brain glioma on CT images
Explaining inferences in Bayesian networks
A team of pursuit learning automata for solving deterministic optimization problems
OTDE: optimal transport distribution enhancement for few-shot video recognition
A hybrid prediction approach for road tunnel traffic based on spatial-temporary data fusion
BAFPN: bidirectionally aligning features to improve object localization accuracy in remote sensing images
A modified dueling DQN algorithm for robot path planning incorporating priority experience replay and artificial potential fields
Radial-based oversampling based on differential evolution for imbalanced data
Robust transfer learning for high-dimensional quantile regression model with linear constraints
A learning-to-rank method for information updating task
An intelligent fault diagnosis method for rotating machinery based on data fusion and deep residual neural network
Seismic image super-resolution reconstruction through deep feature mining network
Short text matching model with multiway semantic interaction based on multi-granularity semantic embedding
Label recovery and label correlation co-learning for multi-view multi-label classification with incomplete labels
VAHMSE: an efficient anomaly detection model based on variational autoencoder and heterogeneous multi-stacking ensemble learning
A training-free recursive multiresolution framework for diffeomorphic deformable image registration
Optimal liquidation of foreign currencies when FX rates follow a generalised Ornstein-Uhlenbeck process
Spatial locality-preserving feature coding for image classification
CFENet: Content-aware feature enhancement network for multi-person pose estimation
Mining colossal patterns with length constraints
Flexible job-shop scheduling method based on interval grey processing time
CAFR-CNN: coarse-to-fine adaptive faster R-CNN for cross-domain joint optic disc and cup segmentation
Vision transformer-based generalized zero-shot learning with data criticizing
Joint subspace reconstruction and label correlation for multi-label feature selection
An adaptive terminal sliding mode control of stone-carving robotic manipulators based on radial basis function neural network
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Forwarding Zone enabled PSO routing with Network lifetime maximization in MANET
Facial expression recognition sensing the complexity of testing samples
Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection
Requirements elicitation and response generation for conversational services
An intermodal transport network planning algorithm using dynamic programming - A case study: from Busan to Rotterdam in intermodal freight routing
A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor
A MCMEIF-LT model for risk assessment based on linguistic terms and risk attitudes
A novel knowledge-leverage-based transfer learning algorithm
Pedestrian detection based on channel feature fusion and enhanced semantic segmentation
SQPMF: successive point of interest recommendation system based on probability matrix factorization
A simple algorithm for intelligent manipulator collision-free motion
Knowledge enhanced zero-resource machine translation using image-pivoting
Kernel price pattern trading
SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning
Incrementally mining high utility patterns based on pre-large concept
An attentional-walk-based autoencoder for community detection
Topology augmented dynamic spatial-temporal network for passenger flow forecasting in urban rail transit
Improved network community detection using meta-heuristic based label propagation
HIDyG: heterogeneous information perception in dynamic graphs via contrastive learning
Generalized vertex cover using chemical reaction optimization
Weakly supervised grounded image captioning with semantic matching
Statistical analysis of the community lockdown for COVID-19 pandemic
Average-Case Improvements When Integrating ML and KA
COVID vaccine stigma: detecting stigma across social media platforms with computational model based on deep learning
Efficient Inferencing for Sigmoid Bayesian Networks by Reducing Sampling Space
Cross-modality interaction reasoning for enhancing vision-language pre-training in image-text retrieval
Faster heuristics for graph burning
An effective parallel evolutionary metaheuristic with its application to three optimization problems
See, move and hear: a local-to-global multi-modal interaction network for video action recognition
A deep learning based bank card detection and recognition method in complex scenes
MAPredRNN: multi-attention predictive RNN for traffic flow prediction by dynamic spatio-temporal data fusion
Semantic segmentation based on double pyramid network with improved global attention mechanism
A deep learning based dislocation detection method for cylindrical silicon growth process
Enhanced frustrum multi-scale VoteNet for 3D object detection in cluttered indoor scene
Improvement of move naturalness for playing good-quality games with middle-level players
Power allocation method based on modified social network search algorithm
Semantic-guided spatio-temporal attention for few-shot action recognition
An iterative algorithm to eliminate edges for traveling salesman problem based on a new binomial distribution - Eliminating edges for TSP
Statistical properties analysis of real world tournament selection in genetic algorithms
A novel Xi'an drum music generation method based on Bi-LSTM deep reinforcement learning
Attributes coupling based matrix factorization for item recommendation
One-step subspace clustering based on adaptive graph regularization and correntropy induced metric
A Proof Procedure for Normal Default Theories
Robust semi-supervised support vector machines with Laplace kernel-induced correntropy loss functions
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification
A systematic survey on explainable artificial intelligence (XAI) for plant health monitoring: challenges and opportunities
Neural-net-based control of dynamical systems: A case study
Discovering relational and numerical expressions from plan traces for learning action models
A training sample selection method for predicting software defects
Industrial anomaly detection via curriculum-based deep learning
Properties of Bayesian student model for INQPRO
Are my answers medically accurate? Exploiting medical knowledge graphs for medical question answering
Asynchronous framework with Reptile+ algorithm to meta learn partially observable Markov decision process
Identifying suicidal emotions on social media through transformer-based deep learning
Improved teaching-learning-based optimization algorithm with Cauchy mutation and chaotic operators
Dealing with limited data in ballistic impact scenarios: an empirical comparison of different neural network approaches
Adaptive knowledge graph for multi-label image classification
Graph convolutional dynamic recurrent network with attention for traffic forecasting
Heart rate estimation based on face video under unstable illumination
Global replacement-based differential evolution with neighbor-based memory for dynamic optimization
Collaborative filtering algorithm with social information and dynamic time windows
Cross-lingual prompting method with semantic-based answer space clustering
GACaps-HTC: graph attention capsule network for hierarchical text classification
Dependency-driven spectral embedding based multi-view clustering
Uncertain fault diagnosis problem using neuro-fuzzy approach and probabilistic model for manufacturing systems
Center transfer for supervised domain adaptation
SGD method for entropy error function with smoothing l 0 regularization for neural networks
A novel multi-discriminator deep network for image segmentation
Truthful meta-explanations for local interpretability of machine learning models
Effective use of convolutional neural networks and diverse deep supervision for better crowd counting
Neural Navigation Approach for Intelligent Autonomous Vehicles (IAV) in Partially Structured Environments
Multiparametric similarity measures on Pythagorean fuzzy sets with applications to pattern recognition
Introduction: Evolutionary Learning
Towards adaptive information propagation and aggregation in hypergraph model for node classification
Gene selection in a single cell gene decision space based on class-consistent technology and fuzzy rough iterative computation model
A multivariate short-term traffic flow forecasting method based on wavelet analysis and seasonal time series
Convolution-aware networks for random missing traffic data imputation
Autonomous navigation system using Event Driven-Fuzzy Cognitive Maps
Hybrid nonlinear convolution filters for image recognition
Early prediction of sepsis using double fusion of deep features and handcrafted features
Partial person re-identification using a pose-guided alignment network with mask learning
Deep reinforcement learning-based approach for rumor influence minimization in social networks
Sparse co-attention visual question answering networks based on thresholds
Siam2C: Siamese visual segmentation and tracking with classification-rank loss and classification-aware
Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach
Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting
StreamTrack: real-time meta-detector for streaming perception in full-speed domain driving scenarios
TransETA: transformer networks for estimated time of arrival with local congestion representation
Discriminative least squares regression for multiclass classification based on within-class scatter minimization
Cropping and attention based approach for masked face recognition
End-to-end CNN + LSTM deep learning approach for bearing fault diagnosis
A uniform compact genetic algorithm for matching bibliographic ontologies
Fuzzy cost support vector regression on the fuzzy samples
Oriented transformer for infectious disease case prediction
Video prediction for driving scenes with a memory differential motion network model
A Nash equilibria decision tree for binary classification
Evolutionary algorithms with user's preferences for solving hybrid interval multi-objective optimization problems
An enhanced graph convolutional network with property fusion for acupoint recommendation
Kernel-based multiagent reinforcement learning for near-optimal formation control of mobile robots
Toward perfect neural cascading architecture for grammatical error correction
Task recommendation based on user preferences and user-task matching in mobile crowdsensing
An evolutionary non-linear ranking algorithm for ranking scientific collaborations
User similarity-based graph convolutional neural network for shilling attack detection
FHUQI-Miner: Fast high utility quantitative itemset mining
A fuzzy extended analytic network process-based approach for global supplier selection
Dynamic reproductive ant colony algorithm based on piecewise clustering
Three-way group decisions with evidential reasoning in incomplete hesitant fuzzy information systems for liver disease diagnosis
A rough set-based association rule approach implemented on exploring beverages product spectrum
Multi-view semi-supervised feature selection based on adaptive graph and tensor learning
Similarity-based second chance autoencoders for textual data
Subgraph representation learning with self-attention and free adversarial training
RETRACTED ARTICLE: Deep learning system to screen coronavirus disease 2019 pneumonia
DePAint: a decentralized safe multi-agent reinforcement learning algorithm considering peak and average constraints
Cross patient seizure detection via unsupervised domain adaptation based on uncertainty estimation
Analyzing very large time series using suffix arrays
Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward
Incomplete multi-view partial multi-label learning
Evolving Receptive-Field Controllers for Mobile Robots
Multi-split optimized bagging ensemble model selection for multi-class educational data mining
Popularity debiasing of multi-behavior recommendation via causal inference and data augmentation
A transfer-learning-based windspeed estimation on the ocean surface: implication for the requirements on the spatial-spectral resolution of remote sensors
Enhancing yes/no question answering with weak supervision via extractive question answering
An augmented attention-based lightweight CNN model for plant water stress detection
Query by class, rule, and concept
Cost-sensitive feature selection on multi-label data via neighborhood granularity and label enhancement
Deep metric learning-based side-channel analysis with improved robustness and efficiency
The geometry of three-way decision
Nation-wide human mobility prediction based on graph neural networks
Technical analysis-based unsupervised intraday trading djia index stocks: is it profitable in long term?
A discrete cooperatively coevolving particle swarm optimization algorithm for combinatorial double auctions
Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity
Latent multi-view self-representations for clustering via the tensor nuclear norm
A multiCell visual tracking algorithm using multi-task particle swarm optimization for low-contrast image sequences
Adaptive and intelligent energy efficient routing for transparent heterogeneous ad-hoc network by fusion of game theory and linear programming
F2D-SIFPNet: a frequency 2D Slow-I-Fast-P network for faster compressed video action recognition
HANE-SHC: Heterogeneous attributed network embedding with structural homophily contents
BERT-based chinese text classification for emergency management with a novel loss function
A novel coral reefs optimization algorithm for materialized view selection in data warehouse environments
Evolving lane merge traffic behaviour simulations via a macroscopic objective function and a machine learning system trained through bootstrapped human judgement
TANGAN: solving Tangram puzzles using generative adversarial network
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images
Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification
Control and synchronization of chaotic systems by an improved biogeography-based optimization algorithm
Fusion and normalization of quantitative possibilistic networks
Rumor detection on social media using hierarchically aggregated feature via graph neural networks
Knowledge-guided classification and regression surrogates co-assisted multi-objective soft subspace clustering algorithm
A hybrid method for learning multi-dimensional Bayesian network classifiers based on an optimization model
Supporting ANFIS interpolation for image super resolution with fuzzy rough feature selection
Sketch discriminatively regularized online gradient descent classification
Adventurer: exploration with BiGAN for deep reinforcement learning
Credibilistic skewness of LR power fuzzy numbers with applications in portfolio selection
MIVCN: Multimodal interaction video captioning network based on semantic association graph
Label-reconstruction-based pseudo-subscore learning for action quality assessment in sporting events
An Intelligent Space Robot for Crew Help and Crew and Equipment Retrieval
Compositional Bayesian modelling for computation of evidence collection strategies
An improved multiclass support vector machine classifier using reduced hyper-plane with skewed binary tree
The improved mountain gazelle optimizer for spatiotemporal support vector regression: a novel method for railway subgrade settlement prediction integrating multi-source information
Improved direction-of-arrival estimation method based on LSTM neural networks with robustness to array imperfections
A multiscale convolutional gragh network using only structural information for entity alignment
Selection of a solar water heater for large-scale group decision making with hesitant fuzzy linguistic preference relations based on the best-worst method
DLIR: a deep learning-based initialization recommendation algorithm for trust-aware recommendation
A one-shot next best view system for active object recognition
Geometry-based anisotropy representation learning of concepts for knowledge graph embedding
Traffic sign detection based on visual co-saliency in complex scenes
Robust deep multi-view subspace clustering networks with a correntropy-induced metric
Multi-start local search algorithm based on a novel objective function for clustering analysis
A texture-based method for predicting molecular markers and survival outcome in lower grade glioma
The dynamic fusion representation of multi-source fuzzy data
Efficient evolutionary computation model of closed high-utility itemset mining
Embedded heterogeneous feature selection for conjoint analysis: A SVM approach using L1 penalty
Brain storm optimization for feature selection using new individual clustering and updating mechanism
Exploring duality on ontology debugging
On the interaction between knowledge and social commitments in multi-agent systems
A novel disruption in biogeography-based optimization with application to optimal power flow problem
CN-MgMP: a multi-granularity module partition approach for complex mechanical products based on complex network
Moth-flame swarm optimization with neutrosophic sets for automatic mitosis detection in breast cancer histology images
The variable precision fuzzy rough set based on overlap and grouping functions with double weight method to MADM
DFW-PVNet: data field weighting based pixel-wise voting network for effective 6D pose estimation
A robust stochastic quasi-Newton algorithm for non-convex machine learning
MyMap: Generating personalized tourist descriptions
A stepped tabu search method for the clique partitioning problem
Building a Tool for Battle Planning: Challenges, Tradeoffs, and Experimental Findings
Adaptive weighted stacking model with optimal weights selection for mortality risk prediction in sepsis patients
DT4PEIS: detection transformers for parasitic egg instance segmentation
Ensembles of ARTMAP-based neural networks: an experimental study
Socially aware navigation for mobile robots: a survey on deep reinforcement learning approaches
De-MISTED: Image-based classification of erroneous multiple sequence alignments using convolutional neural networks