yusuke1997/dblp-id-title huggingface dataset:
Anchor-based incomplete multi-view clustering with graph convolution network
CNN-RNN architecture to calculate BPM from underwater ECG samples
Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification
Adaptive fractional-order genetic-particle swarm optimization Otsu algorithm for image segmentation
Rail-PatchCore: unsupervised learning-based detection of visual anomalies in the railway-turnout environment
An improved Henry gas solubility optimization algorithm based on Lévy flight and Brown motion
Multi-objective optimization enabling CFRP energy-efficient milling based on deep reinforcement learning
mmGaitSet: multimodal based gait recognition for countering carrying and clothing changes
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
Graph bandit for diverse user coverage in online recommendation
Movement prediction from real-world images using a liquid state machine
Collaboration based multi-modal multi-label learning
Evolving dynamic Bayesian networks with Multi-objective genetic algorithms
Video-based vehicle re-identification via channel decomposition saliency region network
JETA: A knowledge-based approach to aircraft gas turbine engine maintenance
A stability analysis for the online retailing cyber security situation piecewise variable weight rating method
Fast Learning Algorithms for Feedforward Neural Networks
A modified ELECTRE II method with double attitude parameters based on linguistic Z-number and its application for third-party reverse logistics provider selection
An attributed network features learning method for over-indebtedness prediction
Contextual normalization applied to aircraft gas turbine engine diagnosis
Stable local interpretable model-agnostic explanations based on a variational autoencoder
Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing
A directional crossover (DX) operator for real parameter optimization using genetic algorithm
An image encryption algorithm using a dynamic S-box and chaotic maps
Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains
FedFAA: knowledge filtering for adaptive model aggregation in federated learning
Multi-step prediction method of temperature and humidity based on TCN-FECAM-iTransformer
Engineering Simulated Evolution for Virtual Machine Assignment Problem
Accurate workload prediction for edge data centers: Savitzky-Golay filter, CNN and BiLSTM with attention mechanism
An attention network via pronunciation, lexicon and syntax for humor recognition
Fuzzy Neural Network Models for Classification
Mandarin emotion recognition combining acoustic and emotional point information
A multi-criteria decision-making model for hotel selection by online reviews: Considering the traveller types and the interdependencies among criteria
Enhancing face detection in video sequences by video segmentation preprocessing
Solving distribution problems in content-based recommendation system with gaussian mixture model
Special issue on case-based reasoning in the health sciences
An algorithm based on fuzzy ordinal classification to predict students' academic performance
Knowledge Discovery in Texts for Constructing Decision Support Systems
Enhancing SLAM efficiency: a comparative analysis of B-spline surface mapping and grid-based approaches
SDDP: sensitive data detection method for user-controlled data pricing
STAR++: Rethinking spatio-temporal cross attention transformer for video action recognition
Deep Gaussian mixture model based instance relevance estimation for multiple instance learning applications
Identifying influential nodes in weighted complex networks using an improved WVoteRank approach
Influence maximization on signed networks under independent cascade model
MSTFDN: Multi-scale transformer fusion dehazing network
Artificial intelligence for the study of human ageing: a systematic literature review
A real-time application employing back- or side-view images of individuals to search for specific faces
Chemical reaction optimization for virtual machine placement in cloud computing
ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set
A robust infrared and visible image fusion framework via multi-receptive-field attention and color visual perception
MinimalGAN: diverse medical image synthesis for data augmentation using minimal training data
Training feedforward neural networks using multi-verse optimizer for binary classification problems
A Fuzzy Integral Based Query Dispatching Model in Collaborative Case-Based Reasoning
An effective collaborative filtering algorithm based on user preference clustering
A novel additive consistency for intuitionistic fuzzy preference relations in group decision making
Deep learning for higher-order nonparametric spatial autoregressive model
Qualitative Event-Based Expert Supervision for Transient Condition Monitoring
Multi-channel biomimetic visual transformation for object feature extraction and recognition of complex scenes
Supplemental observation acquisition for learning by observation agents
Hybrid spatial-spectral feature in broad learning system for Hyperspectral image classification
A texture detail-oriented generative adversarial network: motion deblurring for multi-textured images
Towards MANET-based Recommender Systems for Open Facilities
An SVM-AdaBoost facial expression recognition system
Development and application of equilibrium optimizer for optimal power flow calculation of power system
Multivariate time series classification based on spatial-temporal attention dynamic graph neural network
An efficient enhanced feature framework for grading of renal cell carcinoma using Histopathological Images
Kalman filter based short term prediction model for COVID-19 spread
Preference-driven multi-objective GP search for regression models with new dominance principle and performance indicators
SARNet: Spatial Attention Residual Network for pedestrian and vehicle detection in large scenes
BO-Aug: learning data augmentation policies via Bayesian optimization
Large margin classifiers to generate synthetic data for imbalanced datasets
Performance-based ontology matching - A data-parallel approach for an effectiveness-independent performance-gain in ontology matching
Retraction Note to: Support vector regression methodology for prediction of input displacement of adaptive compliant robotic gripper
Prediction intervals in supervised learning for model evaluation and discrimination
Web attack detection based on traps
A cascaded refined rgb-d salient object detection network based on the attention mechanism
Exploring semantic awareness via graph representation for text classification
Research on CTR prediction based on stacked autoencoder
A greedy search based evolutionary algorithm for electric vehicle routing problem
An intelligent system for automated breast cancer diagnosis and prognosis using SVM based classifiers
The analysis of isolation measures for epidemic control of COVID-19
Robust multi-view clustering via collaborative constraints and multi-layer concept factorization
Residual attention network using multi-channel dense connections for image super-resolution
Connection number of set pair analysis based TOPSIS method on intuitionistic fuzzy sets and their application to decision making
The University of Texas at Arlington Autonomous Aerial Vehicle - An overview
Statistical user model supported by R-Tree structure
Generating survey databases with Wasserstein Generative Adversarial Networks
Continual learning classification method and its application to equipment fault diagnosis
Anti-loss downsampling and dual-granularity context learning for tiny object detection in remote sensing images
An improved dummy generation approach for infeasible regions
Modified added activation function based exponential robust random vector functional link network with expanded version for nonlinear system identification
Multi-level attention fusion network assisted by relative entropy alignment for multimodal speech emotion recognition
Incremental small sphere and large margin for online recognition of communication jamming
MOEA/D with adaptive weight vector adjustment and parameter selection based on Q-learning
Model-based diagnosis techniques for Internet delay diagnosis with dynamic routing
BBTA: Detecting communities incrementally from dynamic networks based on tracking of backbones and bridges
A neural network based retrainable framework for robust object recognition with application to mobile robotics
A broader study of cross-domain few-shot object detection
Finger vein image inpainting using neighbor binary-wasserstein generative adversarial networks (NB-WGAN)
Genetic programming hyperheuristic parameter configuration using fitness landscape analysis
Modular design patterns for hybrid learning and reasoning systems
An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining
Subspace multi-regularized non-negative matrix factorization for hyperspectral unmixing
Classification algorithm for class imbalanced data based on optimized Mahalanobis-Taguchi system
Multi-view subspace clustering via double-constrained matrix factorization and graph filter
Image-based benchmarking and visualization for large-scale global optimization
A novel fusion feature imageization with improved extreme learning machine for network anomaly detection
Intelligent fault diagnosis method based on data generation and long-patch vision transformer under small samples
Clustering association rules to build beliefs and discover unexpected patterns
DCSR: A deep continual learning-based scheme for image super resolution using knowledge distillation
EDOM-MFIF: an end-to-end decision optimization model for multi-focus image fusion
Diffusion-based remote sensing image fusion for classification
Trans embedded encoding volume for stereo matching
Multi-stage optimization model for hesitant qualitative decision making with hesitant fuzzy linguistic preference relations
Adaptive group scheduling mechanism using mobile agents in peer-to-peer grid computing environment
Incorporating fuzziness in spatiotemporal XML and transforming fuzzy spatiotemporal data from XML to relational databases
Extracting optimal explanations for ensemble trees via automated reasoning
MMCA: Multi-stage multi-order context aggregation framework for LDCT denoising
Multiple concepts and cross-attention based knowledge graph completion
A novel IMC controller based on bacterial foraging optimization algorithm applied to a high speed range PMSM drive
Mining contrast sequential pattern based on subsequence time distribution variation with discreteness constraints
A fuzzy-tabu real time controller for sampling-based motion planning in unknown environment
An Attentive LSTM based approach for adverse drug reactions prediction
CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression
Selecting the Right-Size Model for Prediction
Research Environment for Data Analysis Tool Allocators
A modification of I-SOS: performance analysis to large scale functions
From methods to datasets: a detailed study on facial emotion recognition
Log message anomaly detection with fuzzy C-means and MLP
Web metadata extraction and semantic indexing for learning objects extraction
A priority based genetic algorithm for limited view tomography
LGCE-Net: a local and global contextual encoding network for effective and efficient medical image segmentation
Graph representation learning via simple jumping knowledge networks
An optimal-score-based filter pruning for deep convolutional neural networks
Product quality time series prediction with attention-based convolutional recurrent neural network
Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis
CRUN: a super lightweight and efficient network for single-image super resolution
A Distributed Artificial Network Solving Complex and Multiple Causal Associations
Optimal generation scheduling and dispatch of thermal generating units considering impact of wind penetration using hGWO-RES algorithm
Mention detection in coreference resolution: survey
Classifier enhancement based on credible sample selection for partial multi-label learning
An intelligent and blind dual color image watermarking for authentication and copyright protection
Creating diversity in ensembles using synthetic neighborhoods of training samples
Developing a hybrid probabilistic model for short-term wind speed forecasting
Differential evolution with variable leader-adjoint populations
Sparse data augmentation based on encoderforest for brain network classification
Leveraging semantic property for temporal knowledge graph completion
A modified SimRank++ approach for searching crash simulation data
Priori separation graph convolution with long-short term temporal modeling for skeleton-based action recognition
Citrus disease detection and classification using end-to-end anchor-based deep learning model
Weighted multi-information constrained matrix factorization for personalized travel location recommendation based on geo-tagged photos
A comparative study of handling imbalanced data using generative adversarial networks for machine learning based software fault prediction
Evolutionary calibration of fractional fuzzy controllers
Vehicle anomalous trajectory detection algorithm based on road network partition
Quantum algorithm of Dempster rule of combination
Deep Reinforcement Learning-based Power Control and Bandwidth Allocation Policy for Weighted Cost Minimization in Wireless Networks
A hybrid framework for mining high-utility itemsets in a sparse transaction database
A three-way Pythagorean fuzzy correlation coefficient approach and its applications in deciding some real-life problems
A novel adaptive learning algorithm for low-dimensional feature space using memristor-crossbar implementation and on-chip training
Improving customer satisfaction in the hotel industry by fusing multi-source user-generated content: An integration method based on the heuristic-systematic model and evidence theory
DSA-CNN: an fpga-integrated deformable systolic array for convolutional neural network acceleration
Random projections for linear SVM ensembles
Res2coder: A two-stage residual autoencoder for unsupervised time series anomaly detection
A prediction strategy based on special points and multiregion knee points for evolutionary dynamic multiobjective optimization
Deep learning applied for abnormal human behavior recognition in video surveillance systems: A systematic review
A generalized CNN decision boundary theory based on non-Euclidean space
An asynchronous federated learning-assisted data sharing method for medical blockchain
Neural networks-based adaptive bidding with the contract net protocol in multi-robot systems
Evaluating performance of AI operators using roofline model
GET: group equivariant transformer for person detection of overhead fisheye images
A novel privacy protection approach with better human imperceptibility
Self-supervised monocular depth estimation based on pseudo-pose guidance and grid regularization
A review of predictive healthcare treatment based on text mining
Balancing control energy and tracking error for fuzzy rule emulated adaptive controller
Ambiguity-driven fuzzy C-means clustering: how to detect uncertain clustered records
An efficient chaos based image encryption algorithm using enhanced thorp shuffle and chaotic convolution function
Dirichlet stochastic weights averaging for graph neural networks
relf: robust regression extended with ensemble loss function
Posterior sampling for Monte Carlo planning under uncertainty
A unified framework of graph structure learning, graph generation and classification for brain network analysis
Multi-objective vehicle routing with automated negotiation
Cross modification attention-based deliberation model for image captioning
New image encryption algorithm based on hyperchaotic 3D-IHAL and a hybrid cryptosystem
Learning interpretable shared space via rank constraint for multi-view clustering
Self-updating continual learning classification method based on artificial immune system
Reference point reconstruction-based firefly algorithm for irregular multi-objective optimization
Modified Lévy flight distribution algorithm for global optimization and parameters estimation of modified three-diode photovoltaic model
Defeasible Logic on an Embedded Microcontroller
An explainable prediction of shale gas ultimate recovery based on Tree-Based ensemble machine learning and Shapley additive explanations
Modelling situation awareness relations in a multiagent system
An exploratory research of elitist probability schema and its applications in evolutionary algorithms
SF-ANN: leveraging structural features with an attention neural network for candidate fact ranking
A multi-view time series model for share turnover prediction
A multi-view multi-omics model for cancer drug response prediction
Ensemble learning for protein multiplex subcellular localization prediction based on weighted KNN with different features
Maximum group utility consensus and fairness-oriented cross-efficiency in multi-attribute group decision-making with a focus on inequality concern
A knowledge-based framework for multimedia adaptation
Reversible watermarking based on extreme prediction using modified differential evolution
Global spatio-temporal aware graph neural network for next point-of-interest recommendation
FedPJF: federated contrastive learning for privacy-preserving person-job fit
VAGA: a novel viscosity-based accelerated gradient algorithm - Convergence analysis and applications
A conditional classification recurrent RBM for improved series mid-term forecasting
Transpose convolution based model for super-resolution image reconstruction
A novel efficient clustering algorithm based on possibilistic approach and kernel technique for image clustering problems
SCSformer: cross-variable transformer framework for multivariate long-term time series forecasting via statistical characteristics space
Verification and repair of control policies for safe reinforcement learning
Feature selection and clustering based web service selection using QoSs
Domestic pig sound classification based on TransformerCNN
SVF-Net: spatial and visual feature enhancement network for brain structure segmentation
Trajectory tracking control for robotic manipulator with disturbances: a double-Q reinforcement learning method
Community-aware graph contrastive learning for collaborative filtering
Reinforcement knowledge graph reasoning based on dual agents and attention mechanism
Hybridization of differential evolution and particle swarm optimization with distributed acceleration constants to solve economic load dispatch problem
A robust tracking architecture using tracking failure detection in Siamese trackers
Improved Salp swarm algorithm for solving single-objective continuous optimization problems
Deep reinforcement learning based mapless navigation for industrial AMRs: advancements in generalization via potential risk state augmentation
SA-FPN: An effective feature pyramid network for crowded human detection
Feature selection based on information entropy with variable precision fuzzy mixed granularity
Dynamic interaction-based feature selection algorithm for maximal relevance minimal redundancy
DC-EDN: densely connected encoder-decoder network with reinforced depthwise convolution for face alignment
Retraction Note: Interval-valued dual hesitant fuzzy linguistic group recommendation method by considering the double relevance
FedProLs: federated learning for IoT perception data prediction
Matrix-based incremental local feature selection with dynamic covering granularity
Correction to: An evolutionary simulation-optimization approach for the problem of order allocation with flexible splitting rule in semiconductor assembly
A new parameter reduction algorithm for interval-valued fuzzy soft sets based on Pearson's product moment coefficient
CDPNet: conformer-based dual path joint modeling network for bird sound recognition
Learning state-action correspondence across reinforcement learning control tasks via partially paired trajectories
User correlation model for question recommendation in community question answering
Pgcnn: an interpretable graph convolutional neural network for predicting the mechanical properties of Ti-6Al-4V alloy
Traffic density estimation via a multi-level feature fusion network
Dynamic graph-based graph attention network for anomaly detection in industrial multivariate time series data
A novel differential evolution algorithm based on periodic intervention and systematic regulation mechanisms
Discovery of user-item subgroups via genetic algorithm for effective prediction of ratings in collaborative filtering
CookDial: a dataset for task-oriented dialogs grounded in procedural documents
Joint latent low-rank and non-negative induced sparse representation for face recognition
δ-equality of intuitionistic fuzzy sets: a new proximity measure and applications in medical diagnosis
Exploring sentiment parsing of microblogging texts for opinion polling on chinese public figures
Causal heterogeneity discovery by bottom-up pattern search for personalised decision making
Exploiting ontology information in fuzzy SVM social media profile classification
A new hybrid constructive neural network method for impacting and its application on tungsten price prediction
Embedded mutual learning: A novel online distillation method integrating diverse knowledge sources
A case-based approach for characterization and analysis of subgroup patterns
Geographic routing in mobile ad hoc networks (MANET) using hybrid optimization model: a multi-objective perspective
Dual-Y network: infrared-visible image patches matching via semi-supervised transfer learning
Cross-language few-shot intent recognition via prompt-based tuning
Hybrid CNN-RWKV with high-frequency enhancement for real-world chinese-english scene text image super-resolution
A two-stage approach solo_GAN for overlapping cervical cell segmentation based on single-cell identification and boundary generation
Learning-based shapelets discovery by feature selection for time series classification
A novel method to rank fuzzy numbers using the developed golden rule representative value
Topic-based influential user detection: a survey
Dimensionality reduction algorithm of tensor data based on orthogonal tucker decomposition and local discrimination difference
Context-aware pyramid attention network for crowd counting
A self-adaptation feature correspondences identification algorithm in terms of IMU-aided information fusion for VINS
A hyper-heuristic based approach with naive Bayes classifier for the reliability p-median problem
Discriminant space metric network for few-shot image classification
Social distance control for quadruped robots in a gated spike filter neural network framework
Retraction Note: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis
Importance and challenges of handwriting recognition with the implementation of machine learning techniques: a survey
Learning representative features via constrictive annular loss for image classification
Instance-based deep transfer learning with attention for stock movement prediction
A general-purpose distributed pattern mining system
Detecting sexism in social media: an empirical analysis of linguistic patterns and strategies
Active-learning-based reconstruction of circuit model
A novel action decision method of deep reinforcement learning based on a neural network and confidence bound
Adaptive and intelligent wireless sensor networks through neural networks: an illustration for infrastructure adaptation through Hopfield network
Editorial "special issue on artificial intelligence in practice - from theory to application"
Combining emerging patterns with random forest for complex activity recognition in smart homes
NetNPG: Nonoverlapping pattern matching with general gap constraints
Temporal knowledge graph reasoning triggered by memories