yusuke1997/dblp-id-title huggingface dataset:
Robust speech recognition method based on dense time-frequency convolution and bispectral refinement enhancement
Exploring correlation of relationship reasoning for scene graph generation
Community discovery algorithm of complex network attention model
Device-free indoor localization based on sparse coding with nonconvex regularization and adaptive relaxation localization criteria
Traffic data extraction and labeling for machine learning based attack detection in IoT networks
Effective micro-expression recognition using relaxed K-SVD algorithm
Learning to detect extreme objects for remote sensing images
Multiobjective hybrid monarch butterfly optimization for imbalanced disease classification problem
Stock price prediction through GRA-WD-BiLSTM model with air quality and weather factors
Multiple recursive projection twin support vector machine for multi-class classification
A hierarchical clustering algorithm based on noise removal
Robust fractional-order PID controller design for fixed-wing UAVs through proximal-policy-optimization for disturbance rejection
Neural network equations and symbolic dynamics
An attentive-based generative model for medical image synthesis
LSSMSD: defending against black-box DNN model stealing based on localized stochastic sensitivity
A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification
A discriminative deep association learning for facial expression recognition
Recent development of hashing-based image retrieval in non-stationary environments
Real-time human posture recognition using an adaptive hybrid classifier
Multi-view representation for pathological image classification via contrastive learning
On bijective correspondence between IF-preorders and saturated IF-topologies
Robust truncated L 2 -norm twin support vector machine
Multi-graph aggregated graph neural network for heterogeneous graph representation learning
Target adaptive extreme learning machine for transfer learning
A novel framework for concept drift detection using autoencoders for classification problems in data streams
An improved collaborative filtering model based on time weighted correlation coefficient and inter-cluster separation
A comparison study of optimal scale combination selection in generalized multi-scale decision tables
Exploring the reliability of clustering models: a case study on interpretation and overlapping issues
Incremental knowledge discovering in interval-valued decision information system with the dynamic data
Extreme learning machines: a survey
AEJaya+DE: a hybrid feature selection method for machine learning-based network intrusion detection on cybersecurity datasets
Exponential operations of interval-valued intuitionistic fuzzy numbers
Prediction of the hot metal silicon content in blast furnace based on extreme learning machine
An efficient gene selection technique for cancer recognition based on neighborhood mutual information
Discriminative low-rank projection for robust subspace learning
A hierarchical dual-view model for fake news detection guided by discriminative lexicons
Incremental extreme learning machine based on deep feature embedded
Topic discovery by spectral decomposition and clustering with coordinated global and local contexts
Metric learning with clustering-based constraints
A multi-stream framework using spatial-temporal collaboration learning networks for violence and non-violence classification in complex video environments
A novel model for enhancing cloud security and data deduplication using fuzzy and refraction learning based chimp optimization
UniSAr: a unified structure-aware autoregressive language model for text-to-SQL semantic parsing
Supervised learning algorithm based on spike optimization mechanism for multilayer spiking neural networks
Scnet: shape-aware convolution with KFNN for point clouds completion
InterSentiment: combining deep neural models on interaction and sentiment for review rating prediction
Subscriber dynamic characteristics-based wireless network accessing bandwidth prediction
An incremental approach to attribute reduction of dynamic set-valued information systems
Granular matrix-based knowledge reductions of formal fuzzy contexts
Initial-training-free online sequential extreme learning machine based adaptive engine air-fuel ratio control
On active annotation for named entity recognition
Type-2 fuzzy cerebellar model articulation control system design for MIMO uncertain nonlinear systems
Three-way class-specific attribute reducts based on three-way weighted combination-entropies
CataLM: empowering catalyst design through large language models
Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction
Correction: Unsupervised Anomaly Detection Approach for Cyberattack Identification
Dshgnn: dual-channel signed hypergraph neural network for link sign prediction
A self-attention dynamic graph convolution network model for traffic flow prediction
Combining adaptive local aggregation average and test-time energy adaptation for federated learning
Representative points clustering algorithm based on density factor and relevant degree
Efficient federated learning with cross-resource client collaboration
Information-decomposition-model-based missing value estimation for not missing at random dataset
Multiplex image representation for enhanced recognition
Multiple attribute decision making method based on normal neutrosophic generalized weighted power averaging operator
SAPDA: Significant Areas Preserved Data Augmentation
Doublem-net: multi-scale spatial pyramid pooling-fast and multi-path adaptive feature pyramid network for UAV detection
Tri-level thinking: models of three-way decision
A simple combined projection method for conservative decision-making
The construction of attribute (object)-oriented multi-granularity concept lattices
Sentiment analysis in teaching evaluations using sentiment phrase pattern matching (SPPM) based on association mining
Conditional contrastive learning for unpaired global mosaic removal with a few samples
Multi-view local linear KNN classification: theoretical and experimental studies on image classification
A copy-move forgery detection technique using DBSCAN-based keypoint similarity matching
A novel learning-based approach for efficient dismantling of networks
Relaxed exponential passivity criteria for memristor-based neural networks with leakage and time-varying delays
Cross-dialogue scene interactive knowledge enhancement for multimodal conversation emotion analysis
Background subtraction based on modified online robust principal component analysis
Pixel-patch combination loss for refined edge detection
Lattice-valued information systems based on dominance relation
CPL: consistent prompt learning for noisy label facial expression recognition
Computational reasoning based on complemented distributive lattices
Two-stage model fusion scheme based on knowledge distillation for stragglers in federated learning
Accelerating improved twin support vector machine with safe screening rule
Improved VGG model-based efficient traffic sign recognition for safe driving in 5G scenarios
Role based access control design using three-way formal concept analysis
A traffic flow forecasting method based on hybrid spatial-temporal gated convolution
Resource-constrained project scheduling problem with uncertain durations and renewable resources
Frequency domain adaptive framework for visible-infrared person re-identification
Dynamic multi-objective optimization control for wastewater treatment process under various operating conditions
Ensemble machine learning approach for classification of IoT devices in smart home
Mixed H ∞ and passivity analysis for T-S fuzzy system with non-fragile memory sampled-data control via augment Lyapunov-Krasovskii functional
Uncertain two-echelon green supply chain models based on revenue sharing contract
Implement an uncertain vector approach to solve entropy-based four-dimensional transportation problems with discounted costs
CoDF-Net: coordinated-representation decision fusion network for emotion recognition with EEG and eye movement signals
Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning
A WordNet-based semantic approach to textual entailment and cross-lingual textual entailment
Delay-dependent decentralized control for nonlinear similar interconnected large-scale systems
An improved artificial bee colony algorithm for balancing local and global search behaviors in continuous optimization
An efficient decision making method based on hyperbolic fuzzy environment with new score function and its application in determining crime prone zones
Negative transfer detection in transductive transfer learning
Multi-label sequence generating model via label semantic attention mechanism
A fuzzy rough set-based undersampling approach for imbalanced data
Learning from label proportions with pinball loss
Tourism profile measure for data-driven tourism segmentation
Adaptive control of nonlinear fractional-order systems using T-S fuzzy method
Multi-scale adaptive networks for efficient inference
Imitating targets from all sides: an unsupervised transfer learning method for person re-identification
Separable-spectral convolution and inception network for hyperspectral image super-resolution
Attribute reduction in inconsistent formal decision contexts based on congruence relations
Single image deraining via nonlinear recursive Conv-Transformer
Star: semi-supervised tripartite attribute reduction
Improving bi-directional recurrent network for video super-resolution with deformable motion alignment structure
Network pruning via probing the importance of filters
Optimal model selection for posture recognition in home-based healthcare
Kernel extreme learning machine based on fuzzy set theory for multi-label classification
Discourse element and relation identification in argumentative essay as self-knowledge exploring based question answering with boosting
Multi-view semi-supervised least squares twin support vector machines with manifold-preserving graph reduction
Integrating MTS with bagging strategy for class imbalance problems
Attribute reduction via local conditional entropy
Stochastic support vector machine upon unbounded distribution functions for multi-class classification
Independence of axiom sets on intuitionistic fuzzy rough approximation operators
Accelerating ELM training over data streams
From Gaussian kernel density estimation to kernel methods
Simultaneous estimation of nonlinear parameters in parabolic partial differential equation using quantum-behaved particle swarm optimization with Gaussian mutation
Vector aggregation operator and score function to solve multi-criteria decision making problem in neutrosophic environment
LWTD: a novel light-weight transformer-like CNN architecture for driving scene dehazing
A novel semisupervised SVM for pixel classification of remote sensing imagery
Mitigating error propagation in multi-hop fact verification with logic reasoning
Event ontology reasoning based on event class influence factors
Balancing factual consistency and informativeness for abstractive summarization
Proximity reasoning for discoveries
Subspace learning via Hessian regularized latent representation learning with l 2,0 -norm constraint: unsupervised feature selection
Study on deduction process and inference methods of decision implications
Semi-supervised self-training for decision tree classifiers
Estimated plant's sensitivity based on data-driving observer for a class of nonlinear discrete-time control systems
Generalized two-dimensional PCA based on ℓ 2, p -norm minimization
Leveraging LSTM and GRU-based deep neural coordination in intelligent transportation to strengthen security in the Internet of Vehicles
Fast algorithms of attribute reduction for covering decision systems with minimal elements in discernibility matrix
Attention-based context aggregation network for monocular depth estimation
General relation-based variable precision rough fuzzy set
Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm
A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems
Dimensionality reduction of tensors based on manifold-regularized tucker decomposition and its iterative solution
Uni-directional graph structure learning-based multivariate time series anomaly detection with dynamic prior knowledge
A hybrid depression detection model and correlation analysis for social media based on attention mechanism
Decision implications: a logical point of view
ACP based reinforcement learning for long-term recommender system
RMHAT: a multi-graph hierarchical attention network model for personalized and granular recipe recommendation
Efficient matching of very complex time series
FFS-IML: fusion-based statistical feature selection for machine learning-driven interpretability of chronic kidney disease
Simpler large margin distribution machine via weighted linear loss for large-scale classification
A multiple kinds of information extraction method for multi-view low-rank subspace clustering
A novel multiple temporal-spatial convolution network for anode current signals classification
A local region proposals approach to instance segmentation for intestinal polyp detection
A heuristically self-organised Linguistic Attribute Deep Learning for edge intelligence
Robust multimedia recommender system based on dynamic collaborative filtering and directed adversarial learning
Loepso, local optimum escape particle swarm optimization, an algorithm for traffic forecasting in software-defined networking using deep-learning models
Pothole detection using location-aware convolutional neural networks
Low-rank matrix recovery via smooth rank function and its application in image restoration
Method of predicting the pseudo alumina concentration during aluminum electrolysis based on a Mexh-LSTM network
Unsupervised feature selection based on self-representation sparse regression and local similarity preserving
An adaptive joint optimization framework for pruning and quantization
Self-similarity feature based few-shot learning via hierarchical relation network
BCT-OFD: bridging CNN and transformer via online feature distillation for COVID-19 image recognition
A modified nature inspired meta-heuristic whale optimization algorithm for solving 0-1 knapsack problem
Enhanced side information fusion framework for sequential recommendation
Sentence pair modeling based on semantic feature map for human interaction with IoT devices
Targeted mining of periodic and high-utility patterns
Beyond traditional visual object tracking: a survey
Synthesizing decision rules from multiple information sources: a neighborhood granulation viewpoint
Explainable label distribution learning by exploiting neighborhood
An online ensembles approach for handling concept drift in data streams: diversified online ensembles detection
EEMNet: an end-to-end efficient model for PCB surface tiny defect detection
MAEL-FER: a multi-aspect enhancement learning framework for robust facial emotion recognition through integrated learning modules
Hierarchical structure analysis of linguistic expressions using concept lattice
An online PLA algorithm with maximum error bound for generating optimal mixed-segments
Fuzzy measure with regularization for gene selection and cancer prediction
Image retrieval using dual-weighted deep feature descriptor
Coarse-to-fine knowledge transfer based long-tailed classification via bilateral-sampling network
Multigranulation rough set model in hesitant fuzzy information systems and its application in person-job fit
Colour face recognition using fuzzy quaternion-based discriminant analysis
Hand gesture recognition and animation for local hand motions
Automated catastrophic optical damage inspection of semiconductor laser chip based on multi-scale strip convolution aggregation
The further investigation of variable precision intuitionistic fuzzy rough set model
Solving 0-1 Knapsack Problem using Cohort Intelligence Algorithm
Robust humanoid vehicle ingress with regression and whole body control
Interval stability analysis of power systems with wind turbine based on three-mass shaft model
Robust visible-infrared person re-identification via frequency-space joint disentanglement and fusion network
\(H_{\infty }\) state estimation for discrete-time stochastic memristive BAM neural networks with mixed time-delays
Delay-dependent stability analysis of nonlinear truck-trailer systems based on non-fragile memory sampled-data via fuzzy control
RAMFAE: a novel unsupervised visual anomaly detection method based on autoencoder
Unsupervised link prediction in evolving abnormal medical parameter networks
Evolutionary neural architecture search based on a modified particle swarm optimization
Conditions for coverings to induce matroids
Assisting cluster coherency via n-grams and clustering as a tool to deal with the new user problem
Landmark based guidance for reinforcement learning agents under partial observability
Unsupervised cross-domain object detection based on dynamic smooth cross entropy
Multi-sensors image fusion method for non-destructive inspection in vertical-cavity surface-emitting lasers
Personality driven task allocation for emotional robot team
An improved multi-population whale optimization algorithm
Study on the prediction of stock price based on the associated network model of LSTM
Efficient evolutionary neural architecture search based on hybrid search space
A majorization-minimization weighted soft thresholding algorithm for weighted nuclear norm minimization
Adaptive neural dynamic global PID sliding mode control for MEMS gyroscope
Expected Lenient Q-learning: a fast variant of the Lenient Q-learning algorithm for cooperative stochastic Markov games
Three-way conflict analysis with similarity degree on an issue set
On (∈, ∈ ∨ q) -intuitionistic fuzzy ideals of soft semigroups
HDRC: a subjective quality assessment database for compressed high dynamic range image
A two-stage emergency supplies procurement model based on prospect multi-attribute three-way decision
Recognition of a real-time signer-independent static Farsi sign language based on fourier coefficients amplitude
OSAGGAN: one-shot unsupervised image-to-image translation using attention-guided generative adversarial networks
Relation correlations-aware graph convolutional network with text-enhanced for knowledge graph embedding
A two-stage hybrid probabilistic topic model for refining image annotation
Enhanced coati optimization algorithm using elite opposition-based learning and adaptive search mechanism for feature selection
Performance of global-local hybrid ensemble versus boosting and bagging ensembles
Hyperrelations and generalized hypergraphs
Multiple classifier systems for robust classifier design in adversarial environments
Learning cross-modality features for image caption generation
A transformer-based convolutional local attention (ConvLoA) method for temporal action localization
Incremental enhanced α-expansion move for large data: a probability regularization perspective
A credibility-based fuzzy programming model for the hierarchical multimodal hub location problem with time uncertainty in cargo delivery systems
Data reduction based on NN-kNN measure for NN classification and regression
Lightweight fungal spore detection based on improved YOLOv5 in natural scenes
A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space
Lightweight feature selection for multi-label classification using multi-objective preference selection index
Triple confidence-aware encoder-decoder model for commonsense knowledge graph completion
An improved artificial bee colony algorithm for minimal time cost reduction
Period-adding and spiral organization of the periodicity in a Hopfield neural network
Off-policy asymptotic and adaptive maximum entropy deep reinforcement learning
Three-level and three-way uncertainty measurements for interval-valued decision systems
An improved Harris Hawks optimizer combined with extremal optimization
Self-refined variational transformer for image-conditioned layout generation
Novelty detection with CANDIES: a holistic technique based on probabilistic models
On the structure of definable sets in covering approximation spaces
Enhanced spatial-temporal dynamics in pose forecasting through multi-graph convolution networks
A temporal-attribute attention neural network for mixed frequency data forecasting
A new fusion approach for content based image retrieval with color histogram and local directional pattern
Hybrid sampling-based contrastive learning for imbalanced node classification
GSO-BiLSTM: performance assessment of IoT enable smart irrigation system using intelligent algorithms
Fuzzy adaptive synchronization of uncertain fractional-order chaotic systems
A parallel hybrid krill herd algorithm for feature selection
A dynamic selection ensemble method for target recognition based on clustering and randomized reference classifier
A transductive transfer learning approach for image classification
Reinforcement learning and neural networks for multi-agent nonzero-sum games of nonlinear constrained-input systems
Novel decision-making algorithms based on intuitionistic fuzzy rough environment
Per-sample prediction intervals for extreme learning machines
Research on search results optimization technology with category features integration
A robust possibilistic semi-supervised fuzzy clustering algorithm with neighborhood-aware feature weighting
Research on classification method of high-dimensional class-imbalanced datasets based on SVM
Convergence analysis for sparse Pi-sigma neural network model with entropy error function
On algebraic study of fuzzy automata
Dynamic event-triggered non-fragile dissipative filtering for interval type-2 fuzzy Markov jump systems
Pythagorean fuzzy soft decision-making method for cache replacement policy selection in fog computing
Deep adversarial reconstruction classification network for unsupervised domain adaptation
Haptic recognition using hierarchical extreme learning machine with local-receptive-field
Seq2Seq-AFL: Fuzzing via sequence-to-sequence model
Combining Boundary Detector and SND-SVM for Fast Learning
Bridging the gap: advancing the transparency and trustworthiness of network intrusion detection with explainable AI
An innovative face image enhancement based on principle component analysis
Robust \(H_\infty\) filtering for uncertain discrete-time stochastic neural networks with Markovian jump and mixed time-delays
Comparative study on classification performance between support vector machine and logistic regression
Fuzzy portfolio selection based on three-way decision and cumulative prospect theory
Big data aggregation in the case of heterogeneity: a feasibility study for digital health
A comparison of ℓ1-regularizion, PCA, KPCA and ICA for dimensionality reduction in logistic regression
Twin support vector regression for the simultaneous learning of a function and its derivatives
Generalized eigenvalue proximal support vector regressor for the simultaneous learning of a function and its derivatives
A deep neural networks based recommendation algorithm using user and item basic data
CHNSCDA: circRNA-disease association prediction based on strongly correlated heterogeneous neighbor sampling
Normalized mean difference (NMD): a novel filter-based feature selection method
Contrastive embedding-based feature generation for generalized zero-shot learning
Two-stage pruning method for gram-based categorical sequence clustering
On optimization based extreme learning machine in primal for regression and classification by functional iterative method
EEG-based personality recognition with long short-term memory and squeeze-and-excitation network
Hierarchical algorithm for calculating approximation regions based on granular computing
Research on a deep ensemble forest flatness prediction model for industrial cold rolling mill