yusuke1997/dblp-id-title huggingface dataset:
Modeling fitting-function-based fuzzy time series patterns for evolving stock index forecasting
Combined outputs framework for twin support vector machines
Transient search optimization: a new meta-heuristic optimization algorithm
Incremental maintenance of three-way regions with variations of objects and values in hybrid incomplete decision systems
NoRD: A framework for noise-resilient self-distillation through relative supervision
HiProIBM: unsupervised continual learning through hierarchical prototypical cross-level discrimination along with information bottleneck subnetwork masking
Formation conditions of mutual adaptation in human-agent collaborative interaction
Hybridization of feature selection and feature weighting for high dimensional data
ISSMLCF: an inductive semi-supervised multi-label learning algorithm with co-forest paradigm
CG-MCFNet: cross-layer guidance-based multi-scale correlation fusion network for 3D face recognition
Image generation and constrained two-stage feature fusion for person re-identification
T-norms driven loss functions for machine learning
Chaotic slime mould algorithm for economic load dispatch problems
A multi-robot deep Q-learning framework for priority-based sanitization of railway stations
Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks
Decision making for autonomous vehicles in highway scenarios using Harmonic SK Deep SARSA
Improving semi-supervised co-forest algorithm in evolving data streams
Counterfactual regret minimization for the safety verification of autonomous driving
An efficient recurrent neural network model for solving fuzzy non-linear programming problems
RGB-D saliency detection via complementary and selective learning
Double-level discriminative domain adaptation network for cross-domain fault diagnosis
An improved bagging ensemble surrogate-assisted evolutionary algorithm for expensive many-objective optimization
Prototype-based classification
Unveiling hidden factors: explainable AI for feature boosting in speech emotion recognition
Business process remaining time prediction using explainable reachability graph from gated RNNs
A jumping mining attack and solution
Reduction methods of type-2 fuzzy variables and their applications to Stackelberg game
Multivariate time-series classification using memory and attention for long and short-term dependence$^{\star }$
Visual tracking via dynamic saliency discriminative correlation filter
Continual learning in an easy-to-hard manner
A novel bat algorithm with dynamic membrane structure for optimization problems
Explainable breast cancer prediction from 3-dimensional dynamic contrast-enhanced magnetic resonance imaging
Learning missing instances in intact and projection spaces for incomplete multi-view unsupervised feature selection
A dynamic resource allocation strategy for collaborative constrained multi-objective optimization algorithm
On the equivalence between nonnegative tensor factorization and tensorial probabilistic latent semantic analysis
SS-MVMETRO: Semi-supervised multi-view human mesh recovery transformer
Weakly supervised pavement crack semantic segmentation based on multi-scale object localization and incremental annotation refinement
CARM-Diff: a cross-attention guided diffusion model for game trajectory prediction
F-DQN: an optimized DQN for decision-making of generator start-up sequence after blackout
Validation and verification of knowledge-based systems: A survey
Interactive segmentation based on multiscale feature cascading
Select and calibrate the low-confidence: dual-channel consistency based graph convolutional networks
Label-representative graph convolutional network for multi-label text classification
Bringing context-aware access to the web through spoken interaction
Feature selection using three-stage heuristic measures based on mutual fuzzy granularities
An incremental neural learning framework and its application to vehicle diagnostics
Dual-branch and triple-attention network for pan-sharpening
Quantile estimation for encrypted data
Power-efficient gesture sensing for edge devices: mimicking fourier transforms with spiking neural networks
A malware visualization method based on transition probability matrix suitable for imbalanced family classification
Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation
Hybridizing genetic algorithm with grey prediction evolution algorithm for solving unit commitment problem
Modeling opponent learning in multiagent repeated games
PSO-NRS: an online group feature selection algorithm based on PSO multi-objective optimization
Aggregated topic models for increasing social media topic coherence
Emotion-cause span extraction: a new task to emotion cause identification in texts
Improved similarity based prognostics method for turbine engine degradation with degradation consistency test
Maintenance algorithm for high average-utility itemsets with transaction deletion
An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray images
Dynamic adaptation of numerical attributes in a user profile
Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm
The Localization and Correction of Errors in Models: A Constraint-Based Approach
A graph coloring constructive hyper-heuristic for examination timetabling problems
Dynamic Flexible Constraint Satisfaction
A multilevel attention network with sub-instructions for continuous vision-and-language navigation
Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning
ImageShield: a responsibility-to-person blind watermarking mechanism for image datasets protection
UMLGA: unsupervised graph meta-learning via local subgraph augmentation
Convolutional neural network based on attention mechanism and Bi-LSTM for bearing remaining life prediction
Sample-level weighting for multi-task learning with auxiliary tasks
Active constrained deep embedded clustering with dual source
Distributed routing in packet-switching networks by counterpropagation network
Hiding from infrared detectors in real world with adversarial clothes
An efficient PSO-based evolutionary model for closed high-utility itemset mining
Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features
A fast approach based on divide-and-conquer for instance selection in classification problem
Diversity and consistency embedding learning for multi-view subspace clustering
Dynamic vehicle pose estimation and tracking based on motion feedback for LiDARs
Constraint satisfaction as a tool for modeling and checking feasibility of multiagent commitments
A novel fuzzy time series model based on improved sparrow search algorithm and CEEMDAN
Trajectory prediction and visual localization of snake robot based on BiLSTM neural network
Action recognition using interrelationships of 3D joints and frames based on angle sine relation and distance features using interrelationships
Using prior knowledge in the inference of gene association networks
Deep learning prediction intervals based on selective joint supervision
LioNets: a neural-specific local interpretation technique exploiting penultimate layer information
LDoS attack traffic detection based on feature optimization extraction and DPSA-WGAN
Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem
Intelligent scheduling with deep fusion of hardware-software energy-saving principles for greening stochastic nonlinear heterogeneous super-systems
Adaptive task recommendation based on reinforcement learning in mobile crowd sensing
A novel feature selection method via mining Markov blanket
A novel fuzzy clustering algorithm for the analysis of axillary lymph node tissue sections
A temporal attention based appearance model for video object segmentation
Adaptive Hypersphere Data Description for few-shot one-class classification
A multiobjective discrete bat algorithm for community detection in dynamic networks
Impact of preprocessing and word embedding on extreme multi-label patent classification tasks
Adaptive pattern search for large-scale optimization
Cooperative gating network based on a single BERT encoder for aspect term sentiment analysis
Domain adaptation of time series via contrastive learning with task-specific consistency
Key class identification: a comprehensive dataset and a new GNN model
A gradient inversion attack defense method based on data augmentation
Locomotion mode prediction in real-life walking with and without ankle-foot exoskeleton assistance
Correction to: Mitigating selection bias in counterfactual prediction through self-supervised domain embedding learning with virtual samples
ESG disclosure in supply chain finance risk: A research based on interpretable machine learning models
Trainable activation function with differentiable negative side and adaptable rectified point
Large-margin learning of Cox proportional hazard models for survival analysis
GraphSense: a self-aware dynamic graph learning networks for graph data over internet
A fuzzy clustering ensemble based on cluster clustering and iterative Fusion of base clusters
CLGLIAM: contrastive learning model based on global and local semantic interaction for address matching
Markov-network based latent link analysis for community detection in social behavioral interactions
A reinforcement learning malware detection model based on heterogeneous information network path representation
Towards a Logic of Perishable Propositions
Complex layout generation for large-scale floor plans via deep edge-aware GNNs
FLCP: federated learning framework with communication-efficient and privacy-preserving
The ramification problem in temporal databases: a solution implemented in SQL
PRANet: Pathological relationship perception and dual attention guided network for diabetic retinopathy grading
A mobile platform-friendly lightweight traffic light detection and recognition model
Neural-network-based blackboard demon subsystems
Semi-supervised deep learning recognition method for the new classes of faults in wind turbine system
GraphCKSA: Innovative dual-strategy GNN for imbalanced node classification with CENN-KCQ resampling and dual-view edge optimization
Causal representation for few-shot text classification
The state of the art in open domain complex question answering: a survey
Multi-stimulus generalized and corrected canonical correlation analysis for enhancing SSVEP detection
Optimized segmentation with image inpainting for semantic mapping in dynamic scenes
Federated deep active learning for attention-based transaction classification
Environment-sensitive crowd behavior modeling method based on reinforcement learning
A stable community detection approach for complex network based on density peak clustering and label propagation
Nonlinear discrete-time controller based on fuzzy-rule emulated network and shuttering condition
Critical direction projection networks for few-shot learning
A hierarchy-based machine learning model for happiness prediction
MA-Net: Mutex attention network for COVID-19 diagnosis on CT images
Ternary encoding based feature extraction for binary text classification
Local self-attention in transformer for visual question answering
Feature relevance term variation for multi-label feature selection
Dual-path Processing Network for High-resolution Salient Object Detection
Applying fuzzy neural network to estimate software development effort
Combining a gradient-based method and an evolution strategy for multi-objective reinforcement learning
Feature selection for multi-label classification by maximizing full-dimensional conditional mutual information
Concept Formation in WWTP by Means of Classification Techniques: A Compared Study
Prototypical attention network for few-shot relation classification with entity-aware embedding module
A grouping-attention convolutional neural network for performance degradation estimation of high-speed train lateral damper
An improved multiobjective cultural algorithm with a multistrategy knowledge base
A deep semi-supervised echo state network-based distributed operating performance assessment framework for manufacturing processes optimized by enhanced black-winged kite algorithm
Exact fuzzy optimal solution of fully fuzzy linear programming problems with unrestricted fuzzy variables
Study regarding the influence of a student's personality and an LMS usage profile on learning performance using machine learning techniques
Metal fracture recognition: a method for multi-perception region of interest feature fusion
IFTA: Iterative filtering by using TF-AICL algorithm for Chinese encyclopedia knowledge refinement
FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information
Knowledge-aware recommendation model with dynamic co-attention and attribute regularize
Video authentication detection using deep learning: a systematic literature review
Flexible case-based retrieval for comparative genomics
Image generation step by step: animation generation-image translation
Pitch-Dependent Identification of Musical Instrument Sounds
Deep reinforcement learning in real-time strategy games: a systematic literature review
Audio-visual speech recognition using deep learning
Pruning filters with L1-norm and capped L1-norm for CNN compression
Automated detection of retinal health using PHOG and SURF features extracted from fundus images
A cascaded spatiotemporal attention network for dynamic facial expression recognition
CapsNet-based supervised hashing
VTP: volumetric transformer for multi-view multi-person 3D pose estimation
Novel artificial bee colony based feature selection method for filtering redundant information
Attributes reduction for incomplete data by bidirectional fuzzy similarity discriminability
The sandpile mutation Genetic Algorithm: an investigation on the working mechanisms of a diversity-oriented and self-organized mutation operator for non-stationary functions
Multiple remote sensing image encryption scheme based on saliency extraction and magic cube circular motion
Solving the uncapacitated facility location problem under uncertainty: a hybrid tabu search with path-relinking simheuristic approach
A framework for itemset placement with diversification for retail businesses
Multi-pose face reconstruction and Gabor-based dictionary learning for face recognition
SGCNet: Scale-aware and global contextual network for crowd counting
Explicit memory based ABC with a clustering strategy for updating and retrieval of memory in dynamic environments
Adaptive joint entropy reward: a mechanism to efficient exploration in reinforcement learning
Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals
Single image super-resolution using a polymorphic parallel CNN
FATALRead - Fooling visual speech recognition models
Adaptive data augmentation for mandarin automatic speech recognition
Probability rough set and portfolio optimization integrated three-way predication decisions approach to stock price
Dynamic updating approximations of local generalized multigranulation neighborhood rough set
Tri-channel visualised malicious code classification based on improved ResNet
Adaptive structure graph embedding for unsupervised feature extraction
A novel chaotic salp swarm algorithm for global optimization and feature selection
Novel translation knowledge graph completion model based on 2D convolution
D 3 FC: deep feature-extractor discriminative dictionary-learning fuzzy classifier for medical imaging
Generalized Radial Basis Function Networks Trained with Instance Based Learning for Data Mining of Symbolic Data
P-GWO and MOFA: two new algorithms for the MSRCPSP with the deterioration effect and financial constraints (case study of a gas treating company)
Transfer of learning with the co-evolutionary decomposition-based algorithm-II: a realization on the bi-level production-distribution planning system
DeepUWF-plus: automatic fundus identification and diagnosis system based on ultrawide-field fundus imaging
A hybrid case adaptation approach for case-based reasoning
Expert System Hardware for Fault Detection
Pseudo almost periodic solutions of discrete-time neutral-type neural networks with delays
Adaptive archive exploitation for Gaussian estimation of distribution algorithm
Reusability of Bayesian Networks case studies: a survey
Global contextual guided residual attention network for salient object detection
Soft Aggregation Methods in Case Based Reasoning
Underwater image enhancement method via multi-feature prior fusion
A planner-based approach to generate and analyze minimal attack graph
Adaptive copy move forgery detection based on new keypoint feature and matching
Beyond AP: a new evaluation index for multiclass classification task accuracy
A new user similarity measure in a new prediction model for collaborative filtering
Selection of investment portfolios with social responsibility: a multiobjective model and a Tabu search method
Method for solving unbalanced fully fuzzy multi-objective solid minimal cost flow problems
Link prediction in fuzzy social networks using distributed learning automata
A novel dual-branch Alzheimer's disease diagnostic model based on distinguishing atrophic patch localization
A novel dense capsule network based on dense capsule layers
Incomplete multi-view clustering based on weighted sparse and low rank representation
A hierarchical self-attentive neural extractive summarizer via reinforcement learning (HSASRL)
Book search using social information, user profiles and query expansion with Pseudo Relevance Feedback
Correction to: Deep learning-based visual slam for indoor dynamic scenes
Ensemble canonical correlation analysis
One-stage object detection knowledge distillation via adversarial learning
Semantic-aware matrix factorization hashing with intra- and inter-modality fusion for image-text retrieval
Robust depth completion based on Semantic Aggregation
NQF-RNN: probabilistic forecasting via neural quantile function-based recurrent neural networks
More efficient stochastic local search for satisfiability
Dynamic multi-objective evolutionary algorithm for IoT services
A local community detection algorithm based on internal force between nodes
A new dictionary-based positive and unlabeled learning method
A fusion autoencoder model and piecewise anomaly index for aero-engine fault diagnosis
Semantic information extraction from images of complex documents
An efficient discrete differential evolution algorithm based on community structure for influence maximization
Detecting facial emotions using normalized minimal feature vectors and semi-supervised twin support vector machines classifier
Efficient bi-level multi objective approach for budget-constrained dynamic Bag-of-Tasks scheduling problem in heterogeneous multi-cloud environment
Fault diagnosis using deep neural networks for industrial alarm sequence clustering
Self-adaptive DE algorithm without niching parameters for multi-modal optimization problems
Leveraging subdomain alignment for enhanced anomaly detection in time series
PM2.5 prediction based on dynamic spatiotemporal graph neural network
Strategies for complex data cube queries
Hybrid multicriteria algorithms applied to structural design of wireless local area networks
SPECN:sequential patterns enhanced capsule network for sequential recommendation
Generalization of Dempster-Shafer theory: A complex mass function
Unsupervised person re-identification based on distribution regularization constrained asymmetric metric learning
Enhanced face aging using dual-learning and muti-attention mechanism
Scheduling for trial production with a parallel machine and multitasking scheduling model
Improving accessibility with user-tailored interfaces
FedSEMA: similarity-aware for representation consistency in federated contrastive learning
Some hybrid weighted aggregation operators under neutrosophic set environment and their applications to multicriteria decision-making
Exploiting multi-attention network with contextual influence for point-of-interest recommendation
Knowledge self-distillation for visible-infrared cross-modality person re-identification
FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval
PVII: A pedestrian-vehicle interactive and iterative prediction framework for pedestrian's trajectory
A joint sparse self-representation learning method for multiview clustering
Multi-scale fusion and adaptively attentive generative adversarial network for image de-raining
A code completion approach combining pointer network and Transformer-XL network
Adaptive Signal-Dependent Audio Watermarking Based on Human Auditory System and Neural Networks
Improving classification performance of Support Vector Machine by genetically optimising kernel shape and hyper-parameters
Weighted cross-integrated fusion network based on knowledge distillation for multi-modal personality recognition
Class feature Sub-space for few-shot classification
Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning
An improved normal wiggly hesitant fuzzy FMEA model and its application to risk assessment of electric bus systems
Spatio-temporal trajectory anomaly detection based on common sub-sequence
Underdetermined blind source separation method based on quantum Archimedes optimization algorithm
Shape annotation for intelligent image retrieval
Cost-sensitive probability for weighted voting in an ensemble model for multi-class classification problems
COVID-19 open source data sets: a comprehensive survey
Graph regularized discriminative nonnegative tucker decomposition for tensor data representation
Erratum to: Applied Intelligence, Volume 31 (1)
Attention adaptive instance normalization style transfer for vascular segmentation using deep learning
A Memetic Approach to the Nurse Rostering Problem
A personalized paper recommendation method based on knowledge graph and transformer encoder with a self-attention mechanism
Temporal subgraph contrastive learning for anomaly detection on dynamic attributed graphs
Maximizing diversity in k-pattern set mining through constraint programming and entropy
Mixed structure low-rank representation for multi-view subspace clustering
Determining topological relationship of fuzzy spatiotemporal data integrated with XML twig pattern
Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network
Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method
A comprehensive study of phase based optimization algorithm on global optimization problems and its applications
Heuristic configuration of single hidden-layer feed-forward neural networks
Extending the RCPSP for modeling and solving disruption management problems
RBFPDet: An anchor-free helmet wearing detection method
A syntactic distance sensitive neural network for event argument extraction
Incremental fuzzy temporal association rule mining using fuzzy grid table
CBRW: a novel approach for cancelable biometric template generation based on 1-D random walk
NS-FUO: Fourier U-type operator based on nested structure
Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component
Learning dynamic causal mechanisms from non-stationary data
Enhanced harmony search algorithm with circular region perturbation for global optimization problems
Multi-scale contrastive learning via aggregated subgraph for link prediction
DBFF-GRU: dual-branch temporal feature fusion network with fast GRU for multivariate time series forecasting
Stochastic support vector regression with probabilistic constraints
Identify influential nodes in network of networks from the view of weighted information fusion
A multimodal fusion and symmetric dual-encoder based generation method for KB-VQA
A group decision-making model based on public big data and minority opinions for sudden events