yusuke1997/dblp-id-title huggingface dataset:
Letter to the Editor: Regarding ''Performance evaluation of multiple classifications of the ultrasonic supraspinatus images by using ML, RBFNN and SVM classifiers''
Using the ℓ1-norm for Image-based tomographic reconstruction
Developing the index for product design communication and evaluation from emotional perspectives
An expert system for the identification of environmental impact based on a geographic information system
Robust flight control system design using H ∞ loop-shaping and recessive trait crossover genetic algorithm
Optimization of digital holographic setup by a fuzzy logic prediction system
A two-stage iterated greedy algorithm for distributed blocking flowshop scheduling problem
Benchmarking unsupervised near-duplicate image detection
A reward-shaping dueling distributed multi-agent deep reinforcement learning framework for dynamic flexible job shop scheduling with random job arrivals
PBSVM: Partitioning and biased support vector machine for vocal fold pathology assessment using labeled and unlabeled data sets
New efficient constructive heuristics for the hybrid flowshop to minimise makespan: A computational evaluation of heuristics
Comparison study of dispatching rules and heuristics for online scheduling of single machine scheduling problem with predicted release time jobs
Automatic multiple circle detection based on artificial immune systems
A state-of the-art survey of TOPSIS applications
Symmetric difference consistent semi-supervised brain stroke lesion segmentation with uncertainty guidance
Tripartite interaction representation learning for multi-modal sentiment analysis
A DS-AHP approach for multi-attribute decision making problem with incomplete information
Immune inspired Fault Detection and Diagnosis: A fuzzy-based approach of the negative selection algorithm and participatory clustering
A new integrated approach based on base-criterion and utility additive methods and its application to supplier selection problem
MCIFSS:Mask-guided modality collaboration with global-local discriminative synergy for incremental few-shot semantic segmentation
Rethinking robustness: Robust adversarial distillation for practical black-box signal attack in intelligent fault diagnosis
Simulation and experimental study in determining injection molding process parameters for thin-shell plastic parts via design of experiments analysis
Subjective operational reliability assessment of maritime transportation system
A complementary fused method using GRU and XGBoost models for long-term solar energy hourly forecasting
Ameva: An autonomous discretization algorithm
Optimal insurance contract design with "No-claim Bonus and Coverage Upper Bound" under moral hazard
An efficient ECG arrhythmia classification method based on Manta ray foraging optimization
Prediction of parking space availability in real time
Wavelet kernel support vector machines forecasting techniques: Case study on water-level predictions during typhoons
Decision aid system founded on nonlinear valuation, dispersion-based weighting and correlative aggregation for wire rope selection in slope stability cable nets
Computationally efficient optimal control analysis for the mathematical model of Coronavirus pandemic
Progressive knowledge tracing: Modeling learning process from abstract to concrete
Strategic rearrangement of retail shelf space allocations: Using data insights to encourage impulse buying
A tool for addressing the ramification problem in spatial databases: A solution implemented in SQL
A methodology for the characterization of flow conductivity through the identification of communities in samples of fractured rocks
A hybrid iterated local search and variable neighborhood descent heuristic applied to the cell formation problem
Spiking generative networks empowered by multiple dynamic experts for lifelong learning
An intrusion detection system using network traffic profiling and online sequential extreme learning machine
An expert system for evaluating Siberian Huskies
A Bayesian petrophysical decision support system for estimation of reservoir compositions
Image recognition via Bayesian likelihood analysis of wavelet coefficients
Determining optimal paths of virtual links in Avionics Full-Duplex Switched Ethernet networks using modified ant colony optimization algorithm
Adaptive and intelligent web based education system: Towards an integral architecture and framework
Intrusion detection by machine learning: A review
Blockchain-based secure privacy-preserving vehicle accident and insurance registration
Optimal lane-changing trajectory planning for autonomous vehicles considering energy consumption
Power prediction for a vessel without recorded data using data fusion from a fleet of vessels
A decision support tool for evaluating customer intentions
A deep attention-based encoder for the prediction of type 2 diabetes longitudinal outcomes from routinely collected health care data
SFFL: Self-aware fairness federated learning framework for heterogeneous data distributions
Weighted k NN and constrained elastic distances for time-series classification
A text-based recommender system for recommending relevant news articles
Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting
Improved search methods for assessing Delay-Tolerant Networks vulnerability to colluding strong heterogeneous attacks
FoRKER: Focused reasoner with knowledge editing and self-reflection
An adaptive scheduling system with genetic algorithms for arranging employee training programs
An enhanced interval-valued decomposition integration model for stock price prediction based on comprehensive feature extraction and optimized deep learning
A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating
A novel machine learning-enhanced dynamic mode decomposition (MLE-DMD) method for evaporative cooling system offshore wind turbines fault detection
A fuzzy inference system for fault detection and isolation: Application to a fluid system
Component-based technique for determining the effects of acupuncture for fighting migraine using SPECT images
Scalable prediction of heterogeneous traffic flow with enhanced non-periodic feature modeling
Competition between high-speed and conventional rail systems: A game theoretical approach
Multimodal sentiment and emotion recognition in hyperbolic space
Distributed Permutation Flow Shop Scheduling Problem with Worker flexibility: Review, trends and model proposition
Adaptive fuzzy practical prescribed time H∞ congestion control for network systems with input saturation and external disturbance
Minimum class variance class-specific extreme learning machine for imbalanced classification
Optimized HRNet for image semantic segmentation
A fuzzy rule based multimodal framework for face sketch-to-photo retrieval
Accelerating Benders decomposition approach for shared parking spaces allocation considering parking unpunctuality and no-shows
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis
An effective node-selection scheme for the energy efficiency of solar-powered WSNs in a stream environment
A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification
Strategic oscillation tabu search for improved hierarchical graph drawing
Diagnosing diabetes using neural networks on small mobile devices
Multiscale extrapolative learning algorithm for predictive soil moisture modeling & applications
A two-stage approach with softmax scoring mechanism for a multi-project scheduling problem sharing multi-skilled staff
Deep attention ConvLSTM-based adaptive fusion of clear-sky physical prior knowledge and multivariable historical information for probabilistic prediction of photovoltaic power
Support vector-based feature selection using Fisher's linear discriminant and Support Vector Machine
A robust image watermarking algorithm using SVR detection
Cross-dataset EEG emotion recognition based on pre-trained Vision Transformer considering emotional sensitivity diversity
Recommendation system using location-based ontology on wireless internet: An example of collective intelligence by using 'mashup' applications
Deep graph gated recurrent unit network-based spatial-temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial-temporal probabilistic forecast of photovoltaic power
A factor-based probabilistic cost model to support bid-price estimation
Assisted diagnosis of neuropsychiatric disorders based on functional connectivity: A survey on application and performance evaluation of graph neural network
Design of rule-based models through information granulation
A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid
Robust logo watermarking using biometrics inspired key generation
An intelligent Medical Cyber-Physical System to support heart valve disease screening and diagnosis
Optimization of task assignment for multi-farm multi-weeding robots based on discrete artificial bee colony algorithm
CARESim: An integrated agent-based simulation environment for crime analysis and risk evaluation (CARE)
Interval-valued Fermatean fuzzy Dombi aggregation operators and SWARA based PROMETHEE II method to bio-medical waste management
Identification of the state-space dynamics of oil flames through computer vision and modal techniques
Development of an optimized multi-biomarker panel for the detection of lung cancer based on principal component analysis and artificial neural network modeling
Comparative performance analysis of optimization algorithms for hyperparameter tuning in LSBoost modeling of mechanical properties in FDM-printed nanocomposites
Building detection from orthophotos using a machine learning approach: An empirical study on image segmentation and descriptors
Deep asymmetric semantic hashing with probability shifting for multi-label image retrieval
Deep knowledge distillation: A self-mutual learning framework for traffic prediction
A hybrid heuristic algorithm for cyclic inventory-routing problem with perishable products in VMI supply chain
Drop-and-pull container drayage with route balancing and its matheuristic algorithm
rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system
A loss-function based approach for evaluating reliability improvement of an engineering design
An extended ITL-VIKOR model using triangular fuzzy numbers for applications to water-richness evaluation
Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites
A fuzzy TOPSIS method for performance evaluation of reverse logistics in social commerce platforms
A novel hierarchical task network planning approach for multi-objective optimization
Fuzzy C-means++: Fuzzy C-means with effective seeding initialization
A distributed deep reinforcement learning dynamic scheduling model for EVs in BCS-BSS system
REIT volatility prediction for skew-GED distribution of the GARCH model
A knowledge-based system for determination of marginal value of building projects
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach
Toward understanding variations in price and billing in US healthcare services: A predictive analytics approach
Prediction model building and feature selection with support vector machines in breast cancer diagnosis
KR-DBSCAN: A density-based clustering algorithm based on reverse nearest neighbor and influence space
DRGCNN: Dynamic region graph convolutional neural network for point clouds
TrendPerceptor: A property-function based technology intelligence system for identifying technology trends from patents
Relation extraction for colorectal cancer via deep learning with entity-aware feature orthogonal decomposition
TSA: Tree-seed algorithm for continuous optimization
Customer satisfaction and competitiveness in the Chinese E-retailing: Structural equation modeling (SEM) approach to identify the role of quality factors
Construction and application of conditional event-based knowledge graphs for electric power standards
Hybrid filter-wrapper attribute selection with alpha-level fuzzy rough sets
Survival exploration strategies for Harris Hawks Optimizer
Integral-based event-triggering switched LFC scheme for power system under deception attack
Algorithmically generated malicious domain names detection based on n-grams features
Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization
AWARDistill: Adaptive and robust 3D object detection in adverse conditions through knowledge distillation
Weakness Finder: Find product weakness from Chinese reviews by using aspects based sentiment analysis
A decision framework for the analysis of green supply chain contracts: An evolutionary game approach
Strategic analysis of healthcare service quality using fuzzy AHP methodology
A decomposition-based forecasting method with transfer learning for railway short-term passenger flow in holidays
Aspect-based sentiment analysis with multi-granularity information mining and sentiment hint
A prepayment installment decision support framework in an inventory system with all-units discount against link-to-order prepayment under power demand pattern
Intelligent localization of FDIA in smart grids: A Multi-level wavelet spatio-temporal graph embedding approach
BUT-Net: Boundary-Aware U-Net structure with Two-Path Transformers for lesion segmentation in mCNV using OCT images
Clash-of-Leges: A bilingual dataset for conflict detection and explanation in statutory law
Guided Manta Ray foraging optimization using epsilon dominance for multi-objective optimization in engineering design
Prediction of Marshall test results for polypropylene modified dense bituminous mixtures using neural networks
Advances in computational intelligence-based print quality assessment and control in offset colour printing
Disturbed optimal power flow with renewable source and static synchronous compensator
Research on collaborative path planning of UAV swarms for urban logistics distribution in dense building environments
Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement
Comparative analysis of hybrid MCDM methods in material selection for dental applications
Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches
Constructing investment strategy portfolios by combination genetic algorithms
Modeling and classification of service behaviors
Automatic human trajectory destination prediction from video
A proactive decision support system for reviewer recommendation in academia
Exploring image and skeleton-based action recognition approaches for clinical in-bed classification of simulated epileptic seizure movements
A fuzzy inference based scenario building in two-stage optimization framework for sustainable recycling supply chain redesign
Multi-objective fuzzy surgical scheduling during post-disaster with Nash equilibrium
Learning to compose over tree structures via POS tags for sentence representation
A user similarity-based Top- N recommendation approach for mobile in-application advertising
Swarm-oriented mobile services: Step towards green communication
A novel one-vs-rest consensus learning method for crash severity prediction
Using data mining technique to enhance tax evasion detection performance
Application of regression and artificial neural network analysis in modelling of tool-chip interface temperature in machining
Combining ranking concept and social network analysis to detect collusive groups in online auctions
Comparison of Bayesian networks and artificial neural networks for quality detection in a machining process
Optimizing thyroid nodule segmentation in thermal imaging with temporal sequences and advanced deep Learning backbones
ACPP-MIH: A robust multiple image hiding framework with adaptive cover image privacy protection
GINT: A Generative Interpretability method via perturbation in the latent space
Decision analysis of data mining project based on Bayesian risk
Chemical reaction-inspired dual-population co-evolutionary algorithm for many-objective optimization
Artistic-style text detector and a new Movie-Poster dataset
MSRANet: Learning discriminative embeddings for speaker verification via channel and spatial attention mechanism in alterable scenarios
A weight-based approach to information retrieval and relevance feedback
Recovery center selection for end-of-life automotive lithium-ion batteries using an integrated fuzzy WASPAS approach
Multi-objective particle swarm optimization algorithm based on objective space division for the unequal-area facility layout problem
Processing k-skyband, constrained skyline, and group-by skyline queries on incomplete data
Deep adaptive collaborative graph neural network for social recommendation
Combined rough set theory and flow network graph to predict customer churn in credit card accounts
Adaptive ensemble learning for efficient keyphrase extraction: Diagnosis, aggregation, and distillation
Quick-RRT*: Triangular inequality-based implementation of RRT* with improved initial solution and convergence rate
An approach to stock price prediction based on improved EEMD and attention-enhanced BiLSTM
CASSED: Context-based Approach for Structured Sensitive Data Detection
The synergy of statistical and fuzzy logic approaches in mining patterns from the peer-to-peer lending data
Applications of new hybrid algorithm based on advanced cuckoo search and adaptive Gaussian quantum behaved particle swarm optimization in solving ordinary differential equations
Supporting small teams in cooperatively building application domain models
Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection
Save the best for last? The treatment of dominant predictors in financial forecasting
Quadruplet depth-wise separable fusion convolution neural network for ballistic target recognition with limited samples
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights
Reinforced fuzzy domain adaptation: Revolutionizing data-unaccessible rotating machinery fault diagnosis across multiple domains
A wavelet-based multiscale vector-ANN model to predict comovement of econophysical systems
Face alignment using a deep neural network with local feature learning and recurrent regression
Advancing recommendation systems with DeepMF and hybrid sentiment analysis: Deep learning and Lexicon-based integration
Greedy weighted strategy based on logit margin change rate in adversarial training
A system for transformation of sentences from the enriched formalized Node of Knowledge record into relational database
A spatial contagion measure for financial time series
A neural network approach for traffic prediction and routing with missing data imputation for intelligent transportation system
Genetic-based modeling of uplift capacity of suction caissons
Top corporate brands and the global structure of country brand positioning: An AutoCM ANN approach
An influence diagram approach to automating lead time estimation in Agile Kanban project management
ObfSec: Measuring the security of obfuscations from a testing perspective
DEEM: A Differential Evolution Ensemble Method for optimizing agile satellite scheduling
Two-stage DEA model with additional input in the second stage and part of intermediate products as final output
Transportation risk analysis using probabilistic model checking
An end-to-end deep learning approach to MI-EEG signal classification for BCIs
Combining prospect theory and fuzzy numbers to multi-criteria decision making
Online modulation recognition of analog communication signals using neural network
A hybrid approach for Android malware detection using improved multi-scale convolutional neural networks and residual networks
Stability analysis for discrete-time Markovian jump neural networks with mixed time-delays
Experimentation and performance in advertising: An observational survey of firm practices on Facebook
Representative reviewers for Internet social media
An improved differential evolution algorithm combined with vector NFP and mixed-integer programming for solving 2D irregular layout problem
Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy
A importance-based ensemble method using an adaptive threshold searching for feature selection
Heuristics for two-dimensional knapsack and cutting stock problems with items of irregular shape
Cardiovascular diseases identification using electrocardiogram health identifier based on multiple criteria decision making
Email spam detection using hierarchical attention hybrid deep learning method
Breast cancer classification using deep belief networks
ITMDID: An improved topic model for defect information derivation
How do users describe their information need: Query recommendation based on snippet click model
Sleep-wake stages classification and sleep efficiency estimation using single-lead electrocardiogram
Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization
Operating performance assessment and fault diagnosis of electro-hydraulic servo valves using Trans-SN-CGAN with Gaussian and non-Gaussian information fusion
Estimating the utility value of individual credit card delinquents
RC-Tweet: Modeling and predicting the popularity of tweets through the dynamics of a capacitor
Sw-YoloX: An anchor-free detector based transformer for sea surface object detection
WS-SSD: Achieving faster 3D object detection for autonomous driving via weighted point cloud sampling
Deep learning model for optimizing control and planning in stochastic manufacturing environments
Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach
Crimes analysis software: 'pins in maps', clustering and Bayes net prediction
Feature fusion based deep neural collaborative filtering model for fertilizer prediction
An advanced TOPSIS method with new fuzzy metric based on interval type-2 fuzzy sets
Robust contrastive graph clustering via reliable augmentation and two-stage self-supervision
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays
Opinion leader detection using whale optimization algorithm in online social network
SAR data applications in earth observation: An overview
Comparison of adaptive-network-based fuzzy inference systems for bandwidth calculation of rectangular microstrip antennas
A fuzzy solution approach for multi objective supplier selection
Streaming association rule (SAR) mining with a weighted order-dependent representation of Web navigation patterns
A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem
A personal data store approach for recommender systems: enhancing privacy without sacrificing accuracy
Multi-objective reinforcement learning approach for trip recommendation
SMS spam filtering: Methods and data
Evaluation of feature selection methods based on artificial neural network weights
Knowledge modeling and the creation of El-Tech: a performance support and training system for electronic technicians
Application of a sampling and clustering-based heuristic search algorithm to find an efficient staff configuration in an emergency department
Exploring the behaviour of base classifiers in credit scoring ensembles
Predictive analytics for delivering prevention services
Literature review: Machine learning techniques applied to financial market prediction
A collaborative ensemble construction method for federated random forest
Improved Shuffled Frog Leaping Algorithm and its multi-phase model for multi-depot vehicle routing problem
Adaptive optimal multi-features learning based representation for face hallucination
Performance of supply chain collaboration - A simulation study
Multiple vision architectures-based hybrid network for hyperspectral image classification