yusuke1997/dblp-id-title huggingface dataset:
A methodology for deformation monitoring of concrete dams based on approximate Bayesian computation with sequential Monte Carlo
Deep Learning-Based analytic framework using comprehensive urbanization index for heat vulnerability assessment in urban areas
Improving algorithmic trading consistency via human alignment and imitation learning
GameDKT: Deep knowledge tracing in educational games
I/O efficient structural clustering and maintenance of clusters for large-scale graphs
A hybrid approach to segment and detect brain abnormalities from MRI scan
A real-time fingerprint-based indoor positioning using deep learning and preceding states
A transformer-based double-order RFID indoor positioning system
EDCAR: A knowledge representation framework to enhance automatic video surveillance
Learn#: A Novel incremental learning method for text classification
Intermittent sampled-data control for exponential synchronization of chaotic delayed neural networks via an interval-dependent functional
Multi-objective Harris Hawk metaheuristic algorithms for the diagnosis of Parkinson's disease
Contextual-boosted deep neural collaborative filtering model for interpretable recommendation
Enhancing vessel arrival time prediction: A fusion-based deep learning approach
Entomopathogenic nematode dispensing robot: NEMABOT
Enhancing collaboration in uncertain environment: Multi-Agent Reinforcement Learning for underwater monitoring
Mapping preferences into Euclidean space
Keystroke dynamics in password authentication enhancement
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images
A deep surrogate model with spatio-temporal awareness for water quality sensor measurement
Scalar projective synchronization for uncertain T-S fuzzy systems with unified control fluctuation: Implementation to quadruple-tank process model
Mathematically optimized, recursive prepartitioning strategies for k -anonymous microaggregation of large-scale datasets
Congestion-aware ant colony based routing algorithms for efficient application execution on Network-on-Chip platform
An intelligent market segmentation system using k-means and particle swarm optimization
Fuzzy model forecasting of offshore bar-shape profiles under high waves
Using the Collective Intelligence for inventive problem solving: A contribution for Open Computer Aided Innovation
Employment of fuzzy inference system in prediction of optimal solution area for thermal stress generated in the friction stir welding process
Classification of cardiac sound signals using constrained tunable-Q wavelet transform
Topology-regularized universal vector autoregression for traffic forecasting in large urban areas
An extensible quality-related fault isolation framework based on dual broad partial least squares with application to the hot rolling process
Novel volatility forecasting using deep learning-Long Short Term Memory Recurrent Neural Networks
Fast algorithms for mining maximal erasable patterns
FedEL: Federated ensemble learning for non-iid data
A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA
Classification of neurologic outcomes from medical notes using natural language processing
Bimodal speech emotion recognition via contrastive self-alignment learning
Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences
Predictive synchronization of chaotic satellites systems
An improved diploid memetic algorithm for solving the multidimensional multi-way number partitioning problem
An evolutionary multi-objective optimization approach to disaster waste management: A case study of Istanbul, Turkey
Record linkage based on a three-way decision with the use of granular descriptors
Forecasting VIX using interpretable Kolmogorov-Arnold networks
Dynamic ticket pricing of airlines using variant batch size interpretable multi-variable long short-term memory
Efficient ensemble learning with multi-scale fusion based deep neural network for skin lesion classification
Mathematical modeling and multi-start search simulated annealing for unequal-area facility layout problem
Systematic literature review of wearable devices and data analytics for construction safety and health
A new approach to detecting the process changes for multistage systems
Performance analysis of model-free PID tuning of MIMO systems based on simultaneous perturbation stochastic approximation
Deep active learning framework for chest-abdominal CT scans segmentation
Hierarchy probability cost analysis model incorporate MAIMS principle for EPC project cost estimation
Nuclear quadrupole resonance response detection using deep neural networks
Using DEMATEL method to explore the core competences and causal effect of the IC design service company: An empirical case study
Real-time nondestructive fish behavior detecting in mixed polyculture system using deep-learning and low-cost devices
A matheuristic solution for efficient scheduling in dynamic truck-drone collaboration
A novel structure adaptive fractional discrete grey forecasting model and its application in China's crude oil production prediction
Use of social network information to enhance collaborative filtering performance
Multivariate feature selection and autoencoder embeddings of ovarian cancer clinical and genetic data
Multirate modeling of energy consumption in wastewater treatment process via multi-task learning and interpolated ESN
An effective deep reinforcement learning-based kernel search heuristic for multimodal transportation planning problem
Multi-level association rules for MP3P marketing strategies based on extensive marketing survey data
Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction
Behavioral modeling and formal verification of a resource discovery approach in Grid computing
Research on visual operation and maintenance platform of accelerator neutron source driven by digital twins
ATISA: Adaptive Threshold-based Instance Selection Algorithm
A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem
Automation of mold designs with the reuse of standard parts
Forecasting the volatility of stock price index
Optimal-selection-based suppressed fuzzy c-means clustering algorithm with self-tuning non local spatial information for image segmentation
Is explicit processing of fuzzy direct influence evaluations in DEMATEL indispensable?
An adaptive protection coordination for microgrids utilizing an improved optimization technique for user-defined DOCRs characteristics with different groups of settings considering N-1 contingency
GMK Net: Generative data-guided multiple kernel network for multimodal finger recognition
Mixed-GGNAS: Mixed Search-space NAS based on genetic algorithm combined with gradient descent for medical image segmentation
Supplier selection using consistent fuzzy preference relations
S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images
A novel obstructive sleep apnea detection model based on multi-scale convolutional neural networks
Comments on "Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection"
Multimodal Retrieval using Mutual Information based Textual Query Reformulation
Automatic multiple-object tracking of farm livestock with improved MOTR
Identification of City Hotspots by Analyzing Telecom Call Detail Records Using Complex Network Modeling
A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses
Performance assessment of sustainable transportation in the shipping industry using a q-rung orthopair fuzzy rough sets-based decision making methodology
Economic insight through an optimized deep learning model for stock market prediction regarding Dow Jones industrial Average index
Value of fuzzy logic for data mining and machine learning: A case study
GCPNet: Gradient-aware channel pruning network with bilateral coupled sampling strategy
Modeling multi-factor user preferences based on Transformer for next point of interest recommendation
The optimality of non-additive approaches for portfolio selection
Label noise correction and application in crowdsourcing
Agent-based intelligent system development for decision support in chemical process industry
Evolutionary multiobjective optimization to target social network influentials in viral marketing
Analyzing the applicability of Dempster's rule to the combination of interval-valued belief structures
A proposed iteration optimization approach integrating backpropagation neural network with genetic algorithm
Real-time rear obstacle detection using reliable disparity for driver assistance
Integrated secure relative localization and formation control for multi-robot enclosing and tracking under hybrid attacks
Applications of convolutional neural networks in education: A systematic literature review
Hybrid genetic algorithm and augmented neural network application for solving the online advertisement scheduling problem with contextual targeting
Deep learning based cough detection camera using enhanced features
Investigation on the effect of data quality and quantity of concrete cracks on the performance of deep learning-based image segmentation
Complete fully automatic detection, segmentation and 3D reconstruction of tumor volume for non-small cell lung cancer using YOLOv4 and region-based active contour model
Improving customer retention in financial services using kinship network information
Joint entity and relation extraction with table filling based on graph convolutional Networks
Prediction of rail-wheel contact parameters for a metro coach using machine learning
A novel risk evaluation method of technological innovation using an inferior ratio-based assignment model in the face of complex uncertainty
One-Class Classification based on searching for the problem features limits
"Focusing on the right regions" - Guided saliency prediction for visual SLAM
Survival mixture models in behavioral scoring
Application of a modified GA, ACO and a random search procedure to solve the production scheduling of a case study bakery
MFS-Fusion: Mamba-integrated deep multi-modal image fusion framework with multi-scale fourier enhancement and spatial calibration
A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion
Training with synthesised data for disaggregated event classification at the water meter
MFeature : Towards high performance evolutionary tools for feature selection
Predictive reinforcement learning based on heterogeneous graph model for trajectory planning
Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm
A novel cluster validity index based on augmented non-shared nearest neighbors
DKD-pFed: A novel framework for personalized federated learning via decoupling knowledge distillation and feature decorrelation
A multi-objectives scheduling algorithm based on cuckoo optimization for task allocation problem at compile time in heterogeneous systems
A machine learning framework to predict kidney graft failure with class imbalance using Red Deer algorithm
Mul-FES: A multimodal facial expression spotting method that integrates textual information
Multi-task model of adaptive multi-scale feature fusion and adaptive mixture-of-experts for equipment remaining useful life prediction and fault diagnosis
CONCEAL: A robust dual-color image watermarking scheme
MoistNet: Machine vision-based deep learning models for wood chip moisture content measurement
Handling multi-objective optimization problems with a multi-swarm cooperative particle swarm optimizer
Increasing the discriminatory power of DEA in the presence of the sample heterogeneity with cluster analysis and decision trees
Adaptive sparse regularized fuzzy clustering noise image segmentation algorithm based on complementary spatial information
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection
Ensemble learning training strategy based on multi-objective particle swarm optimization and chasing method
Fault diagnosis of an automotive air-conditioner blower using noise emission signal
Developing an early-warning system for air quality prediction and assessment of cities in China
Comparative clustering analysis of bispectral index series of brain activity
An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images
Noise-resistant graph neural networks with manifold consistency and label consistency
Deep scene understanding with extended text description for human object interaction detection
Forecasting the design of eco-products by integrating TRIZ evolution patterns with CBR and Simple LCA methods
SUSAN: A deep learning-based architecture for violence detection against women in surveillance videos
Automatic scene detection for advanced story retrieval
TechWord: Development of a technology lexical database for structuring textual technology information based on natural language processing
Erratum to "A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem [Expert Systems with Applications 43 (2015) 117-130]"
An approach to mining the multi-relational imbalanced database
Combining both ensemble and dynamic classifier selection schemes for prediction of mobile internet subscribers
Bearing remaining useful life prediction under starved lubricating condition using time domain acoustic emission signal processing
Discovering discriminative test items for achievement tests
Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease
Federated learning with self-updating server parameters for smart home intrusion detection in Non-IID environments
Portable real time emotion detection system for the disabled
Meta-heuristic algorithms to truss optimization: Literature mapping and application
Forecasting the turning time of stock market based on Markov-Fourier grey model
A novel dynamic multi-stage group decision making method fusing psychological characteristics and subjective initiative with uncertain probabilistic linguistic preference relations
Intelligent firefly-based algorithm with Levy distribution (FF-L) for multicast routing in vehicular communications
Portfolio optimization using a credibility mean-absolute semi-deviation model
Bayesian hierarchical model with MCMC for optical cable flame retardancy tests
Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning
Hybrid enhanced discrete fruit fly optimization algorithm for scheduling blocking flow-shop in distributed environment
A learning-enabled infrastructure for electronic contracting agents
A prediction model for the propagation of hot topics based on representation learning and group identity
A new optimization algorithm inspired by the quest for the evolution of human society: Human felicity algorithm
Back-propagation neural network based importance-performance analysis for determining critical service attributes
The balanced dispatching problem in passengers transport services on demand
Predicting customer loyalty using the internal transactional database
Fuzzy neighborhood Choquet integrals with overlap functions and their applications in attribute reduction
An integrated MOGA approach to determine the Pareto-optimal kanban number and size for a JIT system
Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery
Robust GMM least square twin K-class support vector machine for urban water pipe leak recognition
Reversed CF: A fast collaborative filtering algorithm using a k-nearest neighbor graph
Robust sound target detection based on encoding and decoding models between sound and EEG signals
An incentive pay system for project management based on responsibility assignment matrix and fuzzy linguistic variables
Adversarial Entity Graph Convolutional Networks for multi-hop inference question answering
Single image fast dehazing based on haze density classification prior
Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy
Building condition assessment using artificial neural network and structural equations
Knock-on accident prevention in a chemical cluster
Speech-music discrimination using deep visual feature extractors
An ANFIS-based model for predicting adequacy of vancomycin regimen using improved genetic algorithm
Multi-strategy adaptive data augmentation for Graph Neural Networks
A level set method based on additive bias correction for image segmentation
Fast discrete multi-view collaborative clustering induced by label propagation
DMN4DQ+: Optimising data repair to enhance data usability
Use of consistency index, expert prioritization and direct numerical inputs for generic fuzzy-AHP modeling: A process model for shipping asset management
A graph attention network integrated with gated spiking neural P systems for session-based recommendation
Comparison of envelope extraction algorithms for cardiac sound signal segmentation
A cooperative Q-learning-based memetic algorithm for distributed assembly heterogeneous flexible flowshop scheduling
Trust in recommender systems: A survey
A peer-to-peer market for utility exchanges in Eco-Industrial Parks using automated negotiations
Locality Preserving Projections with Autoencoder
A community-aware graph neural network applied to geographical location-based representation learning and clustering within GIS
A neural network for semantic labelling of structured information
NEFCLASS based extraction of fuzzy rules and classification of risks of low back disorders
Automated estimation of chronological age from panoramic dental X-ray images using deep learning
Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities
Hyperbolic embedding of discrete evolution graphs for intelligent tutoring systems
A software platform for process monitoring: Applications to water treatment
Applications of wavelet data reduction in a recommender system
Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network
Fuzzy logic aggregation of crisp data partitions as learning analytics in triage decisions
Discovering stop and parking behaviors of last mile delivery vehicles for urban areas based on not well conditioned GPS traces, expert knowledge and machine learning
Estimation and evaluation of sub-bands on LF and HF base-bands in HRV for Ventricular Tachyarrhythmia patients
Cooperation dynamics on hypergraphs with punishment and Q-learning
Scheduling to minimize the makespan in large-piece one-of-a-kind production with machine availability constraints
Solving the multi-compartment vehicle routing problem by an augmented Lagrangian relaxation method
Stacked auto-encoder based tagging with deep features for content-based medical image retrieval
Distributed algorithm for best subset regression
Ap-FSM: A parallel algorithm for approximate frequent subgraph mining using Pregel
Analysis of healthcare coverage: A data mining approach
Supporting software development through declaratively codified programming patterns
Multi-path parallel enhancement of low-light images based on multiscale spatially aware Retinex decomposition
USWAVG-BS: Under-Sampled Weighted AVeraGed BorderlineSMOTE to handle data intrinsic difficulties
Employing a recommendation expert system based on mental accounting and artificial neural networks into mining business intelligence for study abroad's P/S recommendations
Chaotic-based hybrid negative selection algorithm and its applications in fault and anomaly detection
Company event popularity for financial markets using Twitter and sentiment analysis
A malware detection model based on imbalanced heterogeneous graph embeddings
Data-driven model predictive control for real-time planned lead time optimization in a reconfigurable flow line
Applications of fault diagnosis in rotating machinery by using time series analysis with neural network
Adaptive chaotic noise reduction method based on dual-lifting wavelet
Adversarial pre-optimized graph representation learning with double-order sampling for cross-modal retrieval
Global optimization and structural analysis of Coulomb and logarithmic potentials on the unit sphere using a population-based heuristic approach
Knowledge management vs. data mining: Research trend, forecast and citation approach
Emerging organizational structure for knowledge-oriented teamwork using genetic algorithm
Enhancing robustness of backdoor attacks against backdoor defenses
UiAnalyzer: Evaluating whether the UI of apps is at the risk of violating the design conventions in terms of function layout
Container loading problem based on robotic loader system: An optimization approach
Social robot motion planning using contextual distances observed from 3D human motion tracking
TestAnt: An ant colony system approach to sequential testing under precedence constraints
Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis
An autonomous assessment system based on combined latent semantic kernels
Using cause selecting control charts to monitor dependent process stages with attributes data
Feature selection for optical network design via a new mutual information estimator
Projective synchronization results of fractional order quaternion valued neural networks with proportional delay under event-triggered control
Dual-stage explainable ensemble learning model for diabetes diagnosis
Model-based expert system to automatically adapt milling forces in Pareto optimal multi-objective working points
Simulated annealing applied to the irregular rotational placement of shapes over containers with fixed dimensions
SparseMaps: Convolutional networks with sparse feature maps for tiny image classification
Utilizing contextual summarizing and reasoning for enhancing document-level event argument extraction
Two-directional two-dimensional fractional-order embedding canonical correlation analysis for multi-view dimensionality reduction and set-based video recognition
An adaptive cyclical learning rate based hybrid model for Dravidian fake news detection
Time-sequencing European options and pricing with deep learning - Analyzing based on interpretable ALE method
Architecture selection for 5G-radio access network using type-2 neutrosophic numbers based decision making model
Inducing a marketing strategy for a new pet insurance company using decision trees
Improving importance estimation in covariate shift for providing accurate prediction error
A multi-objective approach for reducing Patient's inconvenience in a generalized home healthcare delivery setup
Multimodal and ontology-based fusion approaches of audio and visual processing for violence detection in movies
Charging station location problem for maximizing the space-time-electricity accessibility: A Lagrangian relaxation-based decomposition scheme
Segmentation algorithms of dental CT images: A comprehensive review from classical to deep learning trend
Combined ensemble multi-class SVM and fuzzy NSGA-II for trend forecasting and trading in Forex markets
MSIM: A change detection framework for damage assessment in natural disasters
A novel customer scoring model to encourage the use of mobile value added services
Deep-to-broad technique to accelerate deep neural networks
Quantum-resistant blockchain-assisted certificateless authentication and three-party key agreement scheme for VANET
GPDS: A multi-agent deep reinforcement learning game for anti-jamming secure computing in MEC network
Separable contextual graph neural networks to identify tailgating-oriented traffic congestion
Using an ontology for systematic practice adoption in agile methods: Expert system and practitioners-based validation
An evolutionary explainable deep learning approach for Alzheimer's MRI classification
Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification