yusuke1997/dblp-id-title huggingface dataset:
Towards deep probabilistic graph neural network for natural gas leak detection and localization without labeled anomaly data
Parsimonious time series clustering using P-splines
On taking advantage of opportunistic meta-knowledge to reduce configuration spaces for automated machine learning
Near field acoustic localization under unfavorable conditions using feedforward neural network for processing time difference of arrival
EEG signal classification using wavelet feature extraction and a mixture of expert model
PUMA: Parallel subspace clustering of categorical data using multi-attribute weights
A terrain segmentation network for navigable areas with global strip reliability evaluation and dynamic fusion
Multi-modal generative adversarial networks for traffic event detection in smart cities
An effective multi-start iterated greedy algorithm to minimize makespan for the distributed permutation flowshop scheduling problem with preventive maintenance
Load forecasting framework of electricity consumptions for an Intelligent Energy Management System in the user-side
Deep analysis on MLSY for fractional-order higher-dimension-valued neural networks under the action of free quadratic coefficients
An intelligent strategy for checking the annual inspection status of motorcycles based on license plate recognition
A rule-based approach to emotion cause detection for Chinese micro-blogs
Archimedean t-norm and t-conorm coupled q-rung orthopair fuzzy TOPSIS method for unknown criteria weighting information
Progress in deep learning-based dental and maxillofacial image analysis: A systematic review
Adaptive switching mechanism combined with KL divergence for distributed fusion of multiple model estimators in target tracking
Fuzzy robust nu-support vector machine with penalizing hybrid noises on symmetric triangular fuzzy number space
Anchor-based graph embedding and soft label learning for multi-label classification with missing label
Transformer-based medication recommendation with a multiple graph augmentation strategy
Self-supervised multimodal reconstruction of retinal images over paired datasets
Learning font-style space using style-guided discriminator for few-shot font generation
A novel framework for FMEA using evidential BWM and SMAA-MARCOS method
AEC: A novel adaptive ensemble classifier with LIME and SHAP-Based interpretability for fake news detection
PNG: an adaptive local-global hybrid framework for unsupervised material surface defect detection
A personalized trustworthy seller recommendation in an open market
An improved discriminative common vectors and support vector machine based face recognition approach
Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance
The deep continual learning framework for prediction of blast-induced overbreak in tunnel construction
A radial basis deformable residual convolutional neural model embedded with local multi-modal feature knowledge and its application in cross-subject classification
A multi-agent system to construct production orders by employing an expert system and a neural network
Enhancing adversarial transferability through frequency-domain boundary samples tuning
Promoting sustainable logistics in the electronics industry: Circular intuitionistic fuzzy framework for evaluating smart robotics technologies
A Multi-view Kernel Clustering framework for Categorical sequences
A robust hybrid multi-criteria decision making methodology for contractor evaluation and selection in third-party reverse logistics
FastUGI-Net: Enhanced Real-Time Endoscopic Diagnosis with Efficient Multi-task Learning
A quantum-classical hybrid neural network for hate speech detection in Spanish
Multi-objective boxing match algorithm for multi-objective optimization problems
A novel hesitant-fuzzy-based group decision approach for outsourcing risk
An explainable hybrid bio-inspired feature selection framework using RSVP-evoked P300 EEG signals for identity authentication
Fusing generation task data to enhance generalization of LLMs in zero-shot relational triplet extraction
A particle swarm optimization approach to clustering
Combination of learning from non-optimal demonstrations and feedbacks using inverse reinforcement learning and Bayesian policy improvement
Influence of meta-heuristic optimization on the performance of adaptive interval type2-fuzzy traffic signal controllers
Annotation error detection in painstakingly annotated data: Part-of-speech tagging as a case study
Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification
A Siamese Neural Network for Learning Semantically-Informed Sentence Embeddings
A step forward for Topic Detection in Twitter: An FCA-based approach
Urdu Text Reuse Detection at Phrasal level using Sentence Transformer-based approach
A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry
Overtake detection in trucks using CAN bus signals: A comparative study of machine learning methods
Evaluation of the provincial competitiveness of the Chinese high-tech industry using an improved TOPSIS method
A blockchain-enabled privacy-preserving authentication management protocol for Internet of Medical Things
An intelligent and uncertain optimization framework for water-nitrogen synergistic management under extreme supply and demand water risks
Acoustic scene classification using deep CNN with fine-resolution feature
SWSNL: Semantic Web Search Using Natural Language
A decision-making algorithm for automatic flow pattern identification in high-speed imaging
Remaining useful life prediction for machinery using multimodal interactive attention spatial-temporal networks with deep ensembles
Knowledge-based Bi-correction model for achieving effective lag-free characteristic on daily urban water demand forecasting
Task-free continual generative modelling via dynamic teacher-student framework
Efficient automatic exact motif discovery algorithms for biological sequences
Corrigendum to "Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives" [Expert Systems with Applications, Vol. 107 (2018) 15-31]
Transfer learning-based quality monitoring of laser powder bed fusion across materials
Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting
An agent-based model for cruise ship evacuation considering the presence of smart technologies on board
Human-in-the-loop cross-domain person re-identification
A hybrid algorithm for vehicle routing problem with time windows
Assessing scorecard performance: A literature review and classification
The Structure-sharing Hypergraph Reasoning Attention Module for CNNs
A hybrid coal prediction model based on grey Markov optimized by GWO - A case study of Hebei province in China
Exploratory analysis and prognostication of multimorbidity trajectories in middle-aged and elderly populations: A machine learning approach
Authenticity verification of audio signals based on fragile watermarking for audio forensics
Improvement of differential evolution variants with nonlinear population adjustment and parameter adaption
A review of deep learning methods for semantic segmentation of remote sensing imagery
A self-adaptive embedded chaotic particle swarm optimization for parameters selection of Wv-SVM
A novel metaheuristic algorithm by efficient crossover operator for land readjustment
Automatic construction of classification dimensions by clustering texts based on common words
A greedy approach for increased vehicle utilization in ridesharing platforms
Consensus reaching with trust evolution in social network group decision making
A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques
Optimizing dialysis water treatment based on medical planning requirements
Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment
Information dissemination behavior of self-media in emergency: Considering the impact of information synergistic-hedging effect on public utility
Enabling value stream mapping for internal logistics using multidimensional process mining
Automated traders in commodities markets: Case of producer-consumer institution
Tensor-based global block-diagonal structure radiation for incomplete multiview clustering
Automatic event-level textual emotion sensing using mutual action histogram between entities
Vehicle routing problem with a heterogeneous fleet and time windows
Credit card fraud detection based on federated graph learning
Low-rank and synergy prompts for efficient multimodal glioma segmentation with missing modalities
Personalized attention-based EEG channel selection for epileptic seizure prediction
Automating customer feedback analysis in E-commerce: A multi-Model approach
Combining case-based reasoning with Bee Colony Optimization for dose planning in well differentiated thyroid cancer treatment
A multi-objective Immune Balancing Algorithm for Distributed Heterogeneous Batching-integrated Assembly Hybrid Flowshop Scheduling
Synthetic accessibility assessment using auxiliary responses
A knowledge-based fuzzy expert system to analyse degraded terrain
Regionalization of primary health care units: An iterated greedy algorithm for large-scale instances
Intelligent docking control of autonomous underwater vehicles using deep reinforcement learning and a digital twin system
Real-time classification for autonomous drowsiness detection using eye aspect ratio
A new validity clustering index-based on finding new centroid positions using the mean of clustered data to determine the optimum number of clusters
A blind signature scheme for IoV based on 2D-SCML image encryption and lattice cipher
Experimental road safety study of the actual driver reaction to the street ads using eye tracking, multiple linear regression and decision trees methods
The heterogeneous fleet vehicle routing problem with light loads and overtime: Formulation and population variable neighbourhood search with adaptive memory
SV-2DGS: Optimization of sparse view 3D reconstruction based on 2DGS models
The return barrier and return timer option with pricing under Lévy processes
Multi-Objective Passing Vehicle Search algorithm for structure optimization
A stage-based adaptive penalty method for constrained evolutionary optimization
A novel hybrid algorithm for manufacturing cell formation problem
A mark-based hierarchical asynchronous temporal constraints reasoning algorithm for multi-agent mission planning
Link prediction by deep non-negative matrix factorization
Maximum-relevance and maximum-diversity of positive ranks: A novel feature selection method
What matters for short videos' user engagement: A multiblock model with variable screening
Analyzing the pregnancy status of giant pandas with hierarchical behavioral information
Automatic lung cancer detection from CT image using optimized Robust Deformed Convolutional Neural Network with TriHorn-Net
Efficient link-based similarity search in web networks
Multi-basin particle swarm intelligence method for optimal calibration of parametric Lévy models
BDOS: An orthogonal sum based on belief of permutation events and element distances in random permutation set
An external plagiarism detection system based on part-of-speech (POS) tag n-grams and word embedding
Goal-driven long-term marine vessel trajectory prediction with a memory-enhanced network
A hybrid TSK-FR model to study short-term variations of the electricity demand versus the temperature changes
G-GraphTST: Spatiotemporal learning for multivariate long-term photovoltaic power forecasting
Rapid and optimized parallel attribute reduction based on neighborhood rough sets and MapReduce
Agent Mertacor: A robust design for dealing with uncertainty and variation in SCM environments
Learning collaborative team behavior from observation
Analytically pricing foreign exchange options under a three-factor stochastic volatility and interest rate model: A full correlation structure
Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
Arabic machine-generated text detection: Stylometric analysis and cross-model evaluation
Developing strategic measurement and improvement for the biopharmaceutical firm: Using the BSC hierarchy
RedTrees: A relational decision tree algorithm in streams
Queue length estimation for signal controlling in a connected environment
A new approach for generating efficient sample from market basket data
Knowledge-based RFID enabled Web Service architecture for supply chain management
Forecasting model selection through out-of-sample rolling horizon weighted errors
Application of Genetic Algorithm in unit selection for Malay speech synthesis system
Clustering of multi-view relational data based on particle swarm optimization
Prior knowledge evaluation and emphasis sampling-based evolutionary algorithm for high-dimensional medical data feature selection
Motion planning in order to optimize the length and clearance applying a Hopfield neural network
SMAA-Choquet-FlowSort: A novel user-preference-driven Choquet classifier applied to supplier evaluation
The role of idioms in sentiment analysis
Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm
An improved risk prioritization method for propulsion system based on heterogeneous information and PageRank algorithm
Modelling perceptions on the evaluation of video summarization
Gaussian mutational chaotic fruit fly-built optimization and feature selection
Screen-shot and Demoiréd image identification based on DenseNet and DeepViT
Monte Carlo Data Envelopment Analysis with Genetic Algorithm for Knowledge Management performance measurement
Development of a new asset liability Management model with liquidity and inflation risks based on the Lower Partial Moment
Multimodal mixing convolutional neural network and transformer for Alzheimer's disease recognition
SBI-DHGR: Skeleton-based intelligent dynamic hand gestures recognition
An early software-quality classification based on improved grey relational classifier
Twin Towers End to End model for aspect-based sentiment analysis
A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation
A GRASP method for building classification trees
The 'Healthcare Access and Quality Index' revisited: A fuzzy data envelopment analysis approach
Application of data-driven models to predictive maintenance: Bearing wear prediction at TATA steel
C-Net: A reliable convolutional neural network for biomedical image classification
Unified methodology of neural analysis in decision support systems built for pharmaceutical technology
An artificial neural network-based integrated tilt control system for narrow electric three-wheelers
mt4CrossOIE: Multi-stage tuning for cross-lingual open information extraction
Chronological bald eagle optimization based deep learning for image watermarking
A reinforcement learning optimized negotiation method based on mediator agent
Multiple-kernel SVM based multiple-task oriented data mining system for gene expression data analysis
Prognostic personal credit risk model considering censored information
Remote sensing image instance segmentation network with transformer and multi-scale feature representation
Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders
Tracking social media during the COVID-19 pandemic: The case study of lockdown in New York State
Advancing COVID-19 data classification and prediction: A fresh perspective from an ontological machine-learning algorithm
Network embeddings from distributional thesauri for improving static word representations
An on-line VAD based on Multi-Normalisation Scoring (MNS) of observation likelihoods
A novel continual reinforcement learning-based expert system for self-optimization of soft real-time systems
A novel approach to exploring company's financial soundness: Investor's perspective
Enhanced Harris hawk optimizer for hydrothermal generation scheduling with cascaded reservoirs
An adaptive self-correction joint training framework for person re-identification with noisy labels
Assessment of new energy industrial clusters: An MCDM approach using DEA and GEMS
Calling communities analysis and identification using machine learning techniques
Modeling and optimization of the growth rate for ZnO thin films using neural networks and genetic algorithms
Intelligent control based on wavelet decomposition and neural network for predicting of human trajectories with a novel vision-based robotic
Hybrid fast unsupervised feature selection for high-dimensional data
ITGO: A general framework for text-guided image outpainting
Product failure detection for production lines using a data-driven model
Discovery of stay area in indoor trajectories of moving objects
A new feature selection method based on association rules for diagnosis of erythemato-squamous diseases
Textual data mining for industrial knowledge management and text classification: A business oriented approach
Syntactic N-grams as machine learning features for natural language processing
Prediction of footwear demand using Prophet and SARIMA
Cost-sensitive ensemble of stacked denoising autoencoders for class imbalance problems in business domain
A comparative study of DWT, CWT and DCT transformations in ECG arrhythmias classification
Curvature aided Hough transform for circle detection
Evolutionary-based feature selection approaches with new criteria for data mining: A case study of credit approval data
Deep class-weighted and class-shared dictionary learning for image classification
Sampling based spherical transformer for 360 degree image classification
An inventory-routing problem for end-of-life traction batteries considering incentive-dependent returns and storage time limitations
A two-stage adaptive neighborhood search heuristic for the medical waste collection rerouting and rescheduling problem
SmartScope: Smart contract vulnerability detection via heterogeneous graph embedding with local semantic enhancement
Multi-source information fusion based on evidence reasoning using double frames of discernment for estimating the number of remaining missiles
Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning
Static hand gesture recognition in sign language based on convolutional neural network with feature extraction method using ORB descriptor and Gabor filter
The process model to aid innovation of products conceptual design
A mobile application to report and detect 3D body emotional poses
Ultra-short-term wind power prediction method based on FTI-VACA-XGB model
Finding critical nodes in a complex network from information diffusion and Matthew effect aggregation
Optimizing crop yield prediction with R2U-Net-AgriFocus: A deep learning architecture with leveraging satellite imagery and agro-environmental data
Fuzzy risk analysis in crop selection using information measures on quadripartitioned single-valued neutrosophic sets
A machine learning-based approach for vital node identification in complex networks
Credit scoring with a data mining approach based on support vector machines
An Artificial Neural Network based expert system fitted with Genetic Algorithms for detecting the status of several rotary components in agro-industrial machines using a single vibration signal
PDCSN: A partition density clustering with self-adaptive neighborhoods
High-fidelity mural inpainting via progressive reconstruction and damage-aware adaptation
Multi-UAV air combat cooperative game based on virtual opponent and value attention decomposition policy gradient
MDM-CPS: A few-shot sample approach for source camera identification
Leveraging spatio-temporal multi-task learning for potential urban flow prediction in newly developed regions
Diffulex: Diffusion based lexically constrained text generation with mixed absorbing state and constraint balance
Temporal feature aggregation with attention for insider threat detection from activity logs
MEDSQ: Towards personalized medical education via multi-form interaction guidance
An alternative practical public-key cryptosystems based on the Dependent RSA Discrete Logarithm Problems
Latent class model based diagnostic system utilizing traditional Chinese medicine for patients with systemic lupus erythematosus
Towards automated, efficient, and interpretable diagnosis coffee leaf disease: A dual-path visual transformer network
A Trustworthiness-Aware Spatial Task Allocation using a Fuzzy-based Trust and Reputation System Approach
Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey
DCWI: Distribution descriptive curve and Cellular automata based Writer Identification
Improving matrix factorization recommendations for examples in cold start
Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP
Intelligent approach for the industrialization of deep learning solutions applied to fault detection
A simultaneous multi-attribute soft-bargaining design for bilateral contracts
A pixel-level deep segmentation network for automatic defect detection
Mean-variance models for portfolio selection subject to experts' estimations
Geometric transformation-based data augmentation on defect classification of segmented images of semiconductor materials using a ResNet50 convolutional neural network
A multi-purpose audio-visual corpus for multi-modal Persian speech recognition: The Arman-AV dataset
GENII: A graph neural network-based model for citywide litter prediction leveraging crowdsensing data
A new approach to dealing with negative numbers in efficiency analysis: An application to the Indonesian banking sector
A new support vector machine for categorical features
Integrated production and delivery with single machine and multiple vehicles
Study on continuous network design problem using simulated annealing and genetic algorithm
ShadowAdapter: Adapting Segment Anything Model with Auto-Prompt for shadow detection
Bridging the divide in financial market forecasting: machine learners vs. financial economists
Dynamic task offloading for multiple real-time workflows in a joint MD and MEC system
Evolving semantic web with social navigation
Deep Belief Network based audio classification for construction sites monitoring
DP-RBAdaBound: A differentially private randomized block-coordinate adaptive gradient algorithm for training deep neural networks
A Minutiae Selection Algorithm (MSA) for efficient palmprint matching using Histograms of Differences (HoDs)
An application of support vector machines in bankruptcy prediction model
On ε-insensitive simplification of fuzzy rules for fetal distress assessment
A two-stage framework for parking search behavior prediction through adversarial inverse reinforcement learning and transformer
Cross-layer structure information fusion for deep multi-view clustering
Utility-based association rule mining: A marketing solution for cross-selling
Multi-criteria decision making for the choice problem in mining and mineral processing: Applications and trends
A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal
Instance-based domain ontological view creation towards semantic integration
Predicting trait impressions of faces using local face recognition techniques
Robust approach for estimating probabilities in Naïve-Bayes Classifier for gene expression data
SPELTA: An expert system to generate therapy plans for speech and language disorders
Measuring efficiencies of multi-period and multi-division systems associated with DEA: An application to OECD countries' national innovation systems
Novel medical question and answer system: Graph convolutional neural network based with knowledge graph optimization
GrAR: A novel framework for Graph Alignment based on Relativity concept