yusuke1997/dblp-id-title huggingface dataset:
An efficient power set mapping space blocking algorithm for sensor selection in uncertain systems with quantified diagnosability requirements
Knowledge discovery of customer purchasing intentions by plausible-frequent itemsets from uncertain data
Decision tree induction with a constrained number of leaf nodes
An effective framework using identification and image reconstruction algorithm for train component defect detection
GMKAT: Geospatial Multipath Kolmogorov-Arnold Transformer for flood susceptibility mapping
Converting hyperparameter gamma in distance-based loss functions to normal parameter for knowledge graph completion
Simplified multilayer graph convolutional networks with dropout
WCDForest: a weighted cascade deep forest model toward the classification tasks
Dynamic event-triggered robust safety control for multiplayer fully cooperative games with mismatched uncertainties and asymmetric input constraints
Defense against adversarial examples based on wavelet domain analysis
A Prototypical System for Soft Evidential Update
Visual residual aggregation network for visual-language prompt tuning
Analysis of deep non-smooth symmetric nonnegative matrix factorization on hierarchical clustering
FF-SKPCCA: Kernel probabilistic canonical correlation analysis
Evolutionary Multiobjective Design in Automotive Development
Towards designing a generic and comprehensive deep reinforcement learning framework
Margin attribute reductions for multi-label classification
An efficient multilevel scheme for coarsening large scale social networks
Edge artificial intelligence-based affinity task offloading under resource adjustment in a 5G network
GFF-Net: Graph-based feature fusion network for diagnosing plus disease in retinopathy of prematurity
Joint rumour and stance identification based on semantic and structural information in social networks
An efficient ordering-based ensemble pruning algorithm via dynamic programming
Application of parallelized analogical planning to engineering design
RoDAL: style generation in robot calligraphy with deep adversarial learning
Qualitative Geometry for Shape Recognition
An expert PID controller uses refined ziegler and nichols rules and fuzzy logic ideas
Self-supervised denoising model based on deep audio prior using single noisy marine mammal sound sample
Modified collective decision optimization algorithm with application in trajectory planning of UAV
Active compliance control of robot peg-in-hole assembly based on combined reinforcement learning
A low-complexity residual deep neural network for image edge detection
An optimization approach with weighted SCiForest and weighted Hausdorff distance for noise data and redundant data
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments
Asymmetry label correlation for multi-label learning
Fast local Laplacian filtering based enhanced medical image fusion using parameter-adaptive PCNN and local features-based fuzzy weighted matrices
Bi-directional class-wise adversaries for unsupervised domain adaptation
FGLNet: frequency global and local context channel attention networks
Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario
An improved adaptive NSGA-II with multi-population algorithm
Remote photoplethysmography (rPPG) based learning fatigue detection
The 3D bin packing problem for multiple boxes and irregular items based on deep Q-network
A multi-agent complex network algorithm for multi-objective optimization
A new selective neural network ensemble with negative correlation
A two-domain coordinated sentence similarity scheme for question-answering robots regarding unpredictable outliers and non-orthogonal categories
Causal inference in the medical domain: a survey
Escape planning in realistic fire scenarios with Ant Colony Optimisation
Multi-view learning with fisher kernel and bi-bagging for imbalanced problem
A Data Mining Approach for Retailing Bank Customer Attrition Analysis
Giza pyramids construction algorithm with gradient contour approach for multilevel thresholding color image segmentation
Rational verification: game-theoretic verification of multi-agent systems
Neu-PCM: Neural-based potential correlation mining for POI recommendation
Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network
Search on transportation networks for location-based service
An efficient forensic technique for exposing region duplication forgery in digital images
Adaptive local learning regularized nonnegative matrix factorization for data clustering
Cross-domain person re-identification by hybrid supervised and unsupervised learning
Identifying twins based on ocular region features using deep representations
Correntropy-based dual graph regularized nonnegative matrix factorization with L p smoothness for data representation
Successes and challenges in developing a hybrid approach to sentiment analysis
Using structural information for distributed recommendation in a social network
HaarAE: an unsupervised anomaly detection model for IOT devices based on Haar wavelet transform
Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine
A new re-encoding ECOC using reject option
Composed image retrieval: a survey on recent research and development
Multi-instance clustering with applications to multi-instance prediction
Switching between type-2 fuzzy sets and intuitionistic fuzzy sets: an application in medical diagnosis
Discovering frequent parallel episodes in complex event sequences by counting distinct occurrences
Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification
TensSent: a tensor based sentimental word embedding method
Learning graph-constrained cascade regressors for single image super-resolution
Using differential evolution strategies in chemical reaction optimization for global numerical optimization
I2DKPCN: an unsupervised deep learning network
LASSO and attention-TCN: a concurrent method for indoor particulate matter prediction
A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm
An efficient evolutionary algorithm based on deep reinforcement learning for large-scale sparse multiobjective optimization
Multi-space and detail-supplemented attention network for point cloud completion
Multi-view uncorrelated discriminant analysis via dependence maximization
Interactive capsule network for implicit sentiment analysis
3-D Container Packing Heuristics
Joint sparse neural network compression via multi-application multi-objective optimization
Biogeography-based optimization with improved migration operator and self-adaptive clear duplicate operator
Interactive Case-Based Planning for Forest Fire Management
Incomplete multi-view clustering with multiple imputation and ensemble clustering
Hybrid ensemble approach for classification
Special issue on computational intelligence agents
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
Toward action recognition and assessment using SFAGCN and combinative regression model of spatiotemporal features
Combining dependent bodies of evidence
Performance evaluation of evolutionary heuristics in dynamic environments
Cloud vendor selection for the healthcare industry using a big data-driven decision model with probabilistic linguistic information
Dynamic preventive maintenance strategy for a heterogeneous multi-unit redundant system: A deep reinforcement learning approach with weighted network estimator
Training data reduction to speed up SVM training
A heuristic local community detection method (HLCD)
StackMFF: end-to-end multi-focus image stack fusion network
Aspect-level sentiment classification based on location and hybrid multi attention mechanism
Radar-camera fusion for 3D object detection with aggregation transformer
A novel inference paradigm based on multi-view prototypes for one-shot semantic segmentation
Transaction-aware inverse reinforcement learning for trading in stock markets
Robust predictive control of coupled water tank plant
Evolving the Topology and the Weights of Neural Networks Using a Dual Representation
HGTHP: a novel hyperbolic geometric transformer hawkes process for event prediction
Automatic feature scaling and selection for support vector machine classification with functional data
Granular-ball-matrix-based incremental semi-supervised feature selection approach to high-dimensional variation using neighbourhood discernibility degree for ordered partially labelled dataset
Feature selection with Symmetrical Complementary Coefficient for quantifying feature interactions
Multi-label classification with weak labels by learning label correlation and label regularization
TAN-GFD: generalizing face forgery detection based on texture information and adaptive noise mining
Abnormal behavior detection using streak flow acceleration
Ensembling validation indices to estimate the optimal number of clusters
TMS: Temporal multi-scale in time-delay neural network for speaker verification
HG-search: multi-stage search for heterogeneous graph neural networks
Multi-label classification of legal text based on label embedding and capsule network
Predicting the value of football players: machine learning techniques and sensitivity analysis based on FIFA and real-world statistical datasets
Hierarchical attention-based context-aware network for long-term forecasting of chlorophyll
Emergent spatio-temporal multimodal learning using a developmental network
Multimodal sentiment analysis based on cross-instance graph neural networks
Online unsupervised cross-view discrete hashing for large-scale retrieval
DSTSPYN: a dynamic spatial-temporal similarity pyramid network for traffic flow prediction
Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
Evolutionary many-objective optimization algorithm based on angle and clustering
Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model
OrBAC from access control model to access usage model
A new efficient decision making algorithm based on interval-valued fuzzy soft set
Cross-supervision-based equilibrated fusion mechanism of local and global attention for semantic segmentation
Constraint satisfaction with an object-oriented knowledge representation language
Assessment of reinforcement learning algorithms for nuclear power plant fuel optimization
Variational meta reinforcement learning for social robotics
A sanitization approach for big data with improved data utility
Graph pruning for model compression
Collaborative filtering recommendation algorithm based on interval-valued fuzzy numbers
GaitCTCG: cross-view gait recognition via cascaded residual temporal shift and comprehensive multi-granularity learning
Revisiting multi-view semi-supervised classification: a reinforcement learning perspective
Adaptive controller based on quantum computation and coherent superposition fuzzy rules network with unknown nonlinearities
Shell-neighbor method and its application in missing data imputation
A constraint-based approach to spatiotemporal reasoning
Identity-invariant representation and transformer-style relation for micro-expression recognition
Vote-based integration of review spam detection algorithms
Evaluation of traditional machine learning algorithms for featuring educational exercises
Unsupervised anomaly detection via two-dimensional singular value decomposition and subspace reconstruction for multivariate time series
On compatibility of uncertain multiplicative linguistic preference relations based on the linguistic COWGA
DAGAF: A directed acyclic generative adversarial framework for joint structure learning and tabular data synthesis
Achieving accurate and balanced regional electric vehicle charging load forecasting with a dynamic road network: a case study of Lanzhou City
An effective offspring generation strategy for many-objective optimization driven by knee points under variable classification
Dual-attention guided multi-scale network for single image super-resolution
Ensemble based fuzzy weighted extreme learning machine for gene expression classification
Dynamic multitask optimization with improved knowledge transfer mechanism
A blackboard model of reasoning in product liability claims evaluation
Multi-block local outlier factor anomaly detection of complex industrial systems
An EM based probabilistic two-dimensional CCA with application to face recognition
Multi-level clustering based on cluster order constructed with dynamic local density
Deep structural enhanced network for document clustering
Reducing the value function over-estimation by Kullback-Leibler divergence regularized distributional actor-critic
OBRUN algorithm for the capacity-constrained joint replenishment and delivery problem with trade credits
Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing
A graph based superpixel generation algorithm
Using a case-based reasoning approach for trading in sports betting markets
An efficient image retrieval method using adaptive weights
ICWGAN-GP: an image fusion method based on infrared compensator and wasserstein generative adversarial network with gradient penalty
Deep belief networks with self-adaptive sparsity
An exploratory rollout policy for imagination-augmented agents
Heterogeneous academic network embedding based multivariate random-walk model for predicting scientific impact
Learning to rank influential nodes in complex networks via convolutional neural networks
Intention model based multi-round dialogue strategies for conversational AI bots
Meta-DZSL: a meta-dictionary learning based approach to zero-shot recognition
Weight and bias initialization routines for Sigmoidal Feedforward Network
KA-AttLSTMnet: a Kolmogorov-Arnold attentional architecture for egocentric navigation prediction from hippocampal CA1 spikes
Global k-means++: an effective relaxation of the global k-means clustering algorithm
CSA-GAN: Cyclic synthesized attention guided generative adversarial network for face synthesis
Data augmented large language models for medical record generation
A Knowledge Discovery System with Support for Model Selection and Visualization
Novel stochastic algorithms for privacy-preserving utility mining
An efficient algorithm for incrementally mining frequent closed itemsets
Exponential hybrid mutation differential evolution for economic dispatch of large-scale power systems considering valve-point effects
Interconnected backlash inverse compensation in neural decentralized control for switched nonlinear systems
Short-term traffic flow prediction model based on multi-attributes
Knowledge graph embedding and completion based on entity community and local importance
Self-supervised pairwise-sample resistance model for few-shot classification
Multi-category laplacian least squares twin support vector machine
A k-means binarization framework applied to multidimensional knapsack problem
Light field angular super-resolution based on structure and scene information
A self-learning discrete salp swarm algorithm based on deep reinforcement learning for dynamic job shop scheduling problem
Learning to generate complex question with intent prediction from long passage
Tackling the rich vehicle routing problem with nature-inspired algorithms
SSKGE: a time-saving knowledge graph embedding framework based on structure enhancement and semantic guidance
A new gradient-based neural dynamic framework for solving constrained min-max optimization problems with an application in portfolio selection models
Feature mining and classifier selection for API calls-based malware detection
Multi-source domain generalization peron re-identification with knowledge accumulation and distribution enhancement
Uncertain linguistic terms with weakened hedges for multi-granular linguistic decision making with its application to evaluating communication technologies
Masked-face recognition using deep metric learning and FaceMaskNet-21
Mixed measure-based feature selection using the Fisher score and neighborhood rough sets
A multi-objective algorithm for multi-label filter feature selection problem
A hierarchical interaction multimodal model for feature fusion based on RoBERTa-Keyword-ViT
Mobile sensor patrol path planning in partially observable border regions
Modified group theory-based optimization algorithms for numerical optimization
FC-DRL-based framework considering wheel-rail excitation: a speed-interval-oriented active control scheme for high-speed railway pantographs
Indirect adaptive type-2 bionic fuzzy control
Multi-view subspace clustering for learning joint representation via low-rank sparse representation
Learning self-supervised task progression metrics: a case of cloth folding
A deep feature refinement self-supervised learning algorithm for medical image annotation
Comparative performance of machine learning-selected portfolios from dynamic CSI300 constituents: forward vs. backward adjusted stock prices
Optimized cardinality-based generalized itemset mining using transaction ID and numeric encoding
A novel stock indices hybrid forecasting system based on features extraction and multi-objective optimizer
ETARM: an efficient top-k association rule mining algorithm
A comprehensive sensorimotor control model emulating neural activities for planar human arm reaching movements
User location-aware edge services selection based on generative adversarial network and improved ant colony algorithm
Unsupervised deep neuron-per-neuron hashing
s-LMPNet: a super-lightweight multi-stage progressive network for image super-resolution
Auto-metric distribution propagation graph neural network with a meta-learning strategy for diagnosis of otosclerosis
Non-parallel text style transfer with domain adaptation and an attention model
Using single-layered neural networks for the extraction of conjunctive rules and hierarchical classifications
Relation network based on multi-granular hypergraphs for person re-identification
Defect classification on limited labeled samples with multiscale feature fusion and semi-supervised learning
A novel conflict analysis model based on the formal concept analysis
Object detection based on few-shot learning via instance-level feature correlation and aggregation
MeasApplInt - a novel intelligence metric for choosing the computing systems able to solve real-life problems with a high intelligence
A hierarchical set-enumeration tree enabling high occupancy item set mining and the use of an adaptive occupancy threshold
Adaptive and flexible ℓ 1 -norm graph embedding for unsupervised feature selection
E-FCNN for tiny facial expression recognition
Multi-level rough set reduction for decision rule mining
Deep spatio-temporal neural network based on interactive attention for traffic flow prediction
Fine-grained visual classification with multi-scale features based on self-supervised attention filtering mechanism
Managing non-cooperative behaviors in consensus reaching processes: a comprehensive self-management weight generation mechanism
Stochastic trust network enriched by similarity relations to enhance trust-aware recommendations
Correction to: An enhanced SSD with feature cross-reinforcement for small-object detection
SRENet: a spatiotemporal relationship-enhanced 2D-CNN-based framework for staging and segmentation of kidney cancer using CT images
Light transformer learning embedding for few-shot classification with task-based enhancement
RT-Net: replay-and-transfer network for class incremental object detection
Learning to Predict the Phonological Structure of English Loanwords in Japanese
A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows
Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification
Mitigating noisy labels in long-tailed image classification via multi-level collaborative learning
Least squares structural twin bounded support vector machine on class scatter
Global and local information-aware relational graph convolutional network for temporal knowledge graph completion
On the combination of logical and probabilistic models for information analysis
Federated learning-based road surveillance system in distributed CCTV environment: Pedestrian fall recognition using spatio-temporal attention networks
Entropy based fuzzy least squares twin support vector machine for class imbalance learning
Lagrangian supervised and semi-supervised extreme learning machine
Early prediction of sepsis using a high-order Markov dynamic Bayesian network (HMDBN) classifier
Detection-by-tracking of traffic signs in videos
A hybrid diagnostic-advisory system for small and medium-sized enterprises: A successful AI application
Deep-learning-based object classification of tactile robot hand for smart factory
Comprehensive vulnerability aspect extraction
Nature-inspired approach: a wind-driven water wave optimization algorithm
Attribute weighting for averaged one-dependence estimators
NLINQ: A natural language interface for querying network performance
Dynamic relation learning for link prediction in knowledge hypergraphs
Developing Mobile Robot Wall-Following Algorithms Using Genetic Programming
FTA-DFI: a framework for generalizable deepfake detection based on distinctive features from various manipulations compared to genuine images
DC programming and DCA for parametric-margin ν-support vector machine
Scientific document summarization in multi-objective clustering framework
Learning flat representations with artificial neural networks
Analyzing deep reinforcement learning model decisions with Shapley additive explanations for counter drone operations
A context-aware recommendation approach based on feature selection
Constructing a knowledge base from remote sensing indicators for deforestation assessment
A three-way adaptive density peak clustering (3W-ADPC) method
Fine grained sentiment analysis on microblogs based on graph convolution and self attention graph pooling
Incremental learning with open set based discrimination enhancement
F-RFM-Miner: an efficient algorithm for mining fuzzy patterns using the recency-frequency-monetary model
The promotion strategy of supply chain flexibility based on deep belief network
Feature selection using binary monarch butterfly optimization
Embeddings based on relation-specific constraints for open world knowledge graph completion
Representing and Reasoning About XML with Ontologies
An approach to software defect prediction for small-sized datasets
FAGCL: frequency-based augmentation graph contrastive learning for recommendation
Improving security for image steganography using content-adaptive adversarial perturbations
A comparison study of several strategies in multivariate time series clustering based on graph community detection
Advances in deep neural network-based hyperspectral image classification and feature learning with limited samples: a survey
An efficient modified harmony search algorithm with intersect mutation operator and cellular local search for continuous function optimization problems
An effective zero-shot learning approach for intelligent fault detection using 1D CNN
Möbius transformation in generalized evidence theory
A model and algorithm for identifying driver pathways based on weighted non-binary mutation matrix
A review of federated learning technology and its research progress in healthcare applications
Continual learning with selective nets
Comparative Performance of Rule Quality Measures in an Induction System
Incremental high utility pattern mining with static and dynamic databases
Single image super-resolution using global enhanced upscale network
Learn class hierarchy using convolutional neural networks
Reinforcement learning of iterative behaviour with multiple sensors
Learning sparse filters-based convolutional networks without offline training for robust visual tracking
An integrated system for knowledge sharing among heterogeneous knowledge derivation systems