yusuke1997/dblp-id-title huggingface dataset:
Measuring Pearson's correlation coefficient of fuzzy numbers with different membership functions under weakest t-norm
Component inventory allocation in assembly line balancing with fuzzy performance ratings
When will the 2015 millennium development goal of infant mortality rate be finally realised? - Projections for 21 OECD countries through 2050
Supply chain coordination in quality improvement with synergy effect
An Empirical Examination of Classification Algorithms and Resampling Strategies for Dealing with Imbalanced Datasets: a Comparative Analysis
Mining fuzzy temporal patterns from process instances with weighted temporal graphs
Multicriteria analysis of e-learning courses
Improving the accuracy of real field pomegranate fruit diseases detection and visualisation using convolution neural networks and grad-CAM
Comparison between compactness and connectedness criteria in data clustering
Towards a framework for quantifying system non-functional data definition and database requirements
An applied logistic model for online purchase decision via web-building experiments
Soft computing for HR uncertainty management in steel industry
Ranking enterprise reputation in the digital age: a survey of traditional methods and the need for more agile approaches
A lot size inventory model for the Weibull distributed deterioration rate with discounted selling price and stock-dependent demand
Use of biplot technique for the comparison of the missing value imputation methods
Emoji Translation for Sentiment Analysis in Algerian Arabic Dialect
Regularisation and reliability assessment of data in survey analysis
A methodology for assessing most vulnerable welding procedure specifications and imperfection factors
Decision-maker's preferences modelling in the engineering design through the interactive goal-programming
Efficient data clustering algorithm designed using a heuristic approach
Application of Machine Learning in Banking and Finance: A Bibliometric Analysis
Performance of two classes of Bayes-shrinkage estimators of Weibull distribution
Solving the 3D container ship loading planning problem by representation by rules and meta-heuristics
Variable selection in linear regression in the presence of outliers
Review on recent developments in frequent itemset based document clustering, its research trends and applications
A composite logistic regression approach for ordinal panel data regression
A novel integrated principal component analysis and support vector machines-based diagnostic system for detection of chronic kidney disease
Tackling Data Sparsity: A Hybrid Filtering Paradigm for Robust Recommender Systems
FPST: a new term weighting algorithm for long running and short lived events
Comparing non-parametric to parametric interaction terms in generalised additive models: production technology in the Canadian cable television industry
Mining frequent, maximal and closed frequent itemsets over data stream - a review
Memetic particle swarm optimisation for missing value imputation
Clustering genome data based on approximate matching
Determination of sample size using power analysis and optimum bin size of histogram features
Machine learning made easy: a beginner's guide for causal inference and discovery methods using Python
Food recognition using enhanced squirrel search optimisation algorithm and convolutional neural network
Robustness and sensitivity of conjoint analysis versus multiple linear regression analysis
A review on learning-based algorithms for human activity recognition
Fuzzy free disposal hull models under possibility and credibility measures
Indicative-geometric method for estimation of any business entity
Normalised support: a virtual angle of measurement of 'interestingness'
Fibre optic angle rate gyroscope performance evaluation in terms of Allan variance
Nutritional cluster analysis of leguminous food sources across West Africa
Duplicate detection in pay-per-click streams using temporal stateful Bloom filters
Detection of stragglers and optimal rescheduling of slow running tasks in big data environment using LFCSO-LVQ classifier and enhanced PSO algorithm
Analysis of machine learning's performance in stock market prediction, compared to traditional technical analysis indicators
A comparative study of sound and vibration signals in detection of rotating machine faults using support vector machine and independent component analysis
Pre-processing of ECG signal based on ANF and ICA: a comparison
A tutorial about diagnostic methodology with dementia data
A supply chain forecast and planning application for small businesses
Rao DISC-based similarity coefficient: a measure of similarity with respect to feature differences
Regression analysis using the imprecise Bayesian normal model
Establishing the Significance of Spiritual Environment with the Effects of Herbals: An Empirical Approach on Students' QoL in South Asian Continent
Effects of customer perception and social interactions on brand equity: automobile sector
Microarray cancer classification using feature extraction-based ensemble learning method
Using imputation algorithms when missing values appear in the test data in contrast with the training data
Real-time data warehouse loading methodology and architecture: a healthcare use case
Bayesian consensus clustering with LIME for security in big data
Integrated aquaculture - an old concept with new applications in Greece
Dynamics of the network economy: a content analysis of the search engine trends and correlate results using word clusters
Web informative content identification and filtering using machine learning technique
Using the BIRCH Algorithm and Affinity Propagation, an Advanced Descriptor for Video Processing
Location and time factors' effect on types of traffic accident in Kuwait
An efficient semantic clustering of URLs for web page recommendation
Investigating estimation error reduction strategies in complex engineering systems
Outlier preservation by dimensionality reduction techniques
Democracy and economic growth
A user friendly anger and anxiety disorder prediction scheme using machine learning and a mobile application for mental healthcare
On evaluation of customer dissatisfaction index based on sentiment analysis: a statistical approach
Sequential dimension reduction and clustering of mixed-type data
Bayesian survival analysis: comparison of survival probability of hormone receptor status for breast cancer data
Data quality improvement in data warehouse: a framework
Sentiment analysis: a review and framework foundations
Integrated cyber security risk management-insurance and investment cost analysis
A deterministic risk analysis and measurement model for assessing availability and integrity in command and control systems
Quality function deployment: a comprehensive literature review
A simulation methodology for evaluating emergency sourcing strategies of a discrete part manufacturer
Improvements to the quantum evolutionary clustering
Identification of bottlenecks to improve equipment availability: a case study
Study of Python Libraries for NLP
Combining models in discrete discriminant analysis
Adaptive Parking Demand Prediction Using Discrete Time Based Dynamic Markov Chain
Exploring consumers' attitudes towards paper products that could be derived from transgenic plantations in Greece
Heywood cases: possible causes and solutions
An equivalence between typical spectrographic data analysis and the formulations for time series analysis
The consumer choice between the private doctors and the healthcare clinics
Rotation-based model trees for classification
The fuzzy stability model: an interactive framework for measuring robustness and resiliency under uncertainty
Do tuition increases lower student academic performance?
Coordinate inventory models with two-level credit policy and a price negotiation scheme in declining market
Estimating the time of a step change in the multivariate-attribute process mean using ANN and MLE
A Machine Learning based Food Recommendation System with Nutrition Estimation
Abnormal Accrual Estimation: an Automation Data Analysis Technique
A research study of sentiment analysis and various techniques of sentiment classification
Segmenting the mature travel market by motivation
Enhanced auto associative neural network using feed forward neural network: an approach to improve performance of fault detection and analysis
Feature selection methods for document clustering: a comparative study and a hybrid solution
Dimensions reordering for visual mining of association rules using parallel set
Variable importance index based on the partial least squares and boxplot cutoff threshold for variable selection
Module defect prediction under the Eclipse platform: the quadratic effect of software size and the influence of prerelease defects
How problem-solving really works
Effects of ramp type demand and Weibull deterioration rate on retailers' optimal pricing and lot-sizing policies for deteriorating items with partial backlogging
A long memory property of economic and financial news flows
Is matching in different situations equally applicable for impact evaluation studies when using observational data?
Optimising industrial performance improvement within a quantitative multi-criteria aggregation framework
Stellar mass black hole optimisation for utility mining
Application of text mining analysis in understanding GameFi adoption
A fuzzy-based automatic prediction system for quality evaluation of conceptual data warehouse models
Brain tumour detection and multi classification using GNB-based machine learning architecture
Correlation modelling of complex data - physics, statistics and heuristics
Strategic decision making using multicriteria analysis: new service development in Greek hotels
SDCS: six-dimensional classification strategy framework for COTS products
Unified coding of qualitative and quantitative variables and their analysis with ascendant hierarchical classification
A new initialisation method for k-means algorithm in the clustering problem: data analysis
Analysis of PCS-QoL to Investigate the Holistic Health for Sustainable Way of Living in Smart Cities of 21st Century
Boosting CNN network performance for face recognition in an authentication system
Construct modelling, statistical analysis and empirical validation using PLS-SEM: a step-by-step guide of the analysis procedure
Sentiment analysis of Twitter data using machine learning: COVID-19 perspective
Malformed frogs: Bayesian and random-effect model analyses
Spam filtering based on PV-DBOW model
Phase dependent breakdown in bulk arrival queueing system with vacation break-off
Decision support system using artificial immune recognition system for fault classification of centrifugal pump
Deriving strong association mining rules using a dependency criterion, the lift measure
A comprehensive comparison of algorithms for the statistical modelling of non-monotone relationships via isotonic regression of transformed data
Streamlining Checks Processing: Advancing Arabic Handwriting Verification with a CNN-Based System
A non-linear programming model for insurance company investment portfolio management in Nigeria
Rough set-based attribute reduction and decision rule formulation for marketing data
Climatic Data Analysis Using Machine Learning and Correlation with Human Health
The risk in eco-innovation introduction at the enterprises
An efficient Mahalanobis-Taguchi system for nonlinear multi-class classification problem
Insult detection using a partitional CNN-LSTM model
Effect of noise uncertainty during spectrum sensing for cognitive radio ad hoc networks
The impact of online trading from a personal and technical perspective on trade stocks in emerging markets
Long-term corporate social responsibility agenda considering climate change policy and conservation of forest - an exploratory analysis of Kerala-based companies
On effects of asymmetric information on non-life insurance prices under competition
Analysis of composed fuzzy contexts through projection
Modified logistic regression using the EM algorithm for reject inference
A medical device distribution network design strategic planning process and optimisation model
Recommendation of hashtags in social Twitter network
Evaluating category performances in category management: an empirical regional study
A machine learning-based food recommendation system with nutrition estimation
Improving sentiment analysis using preprocessing techniques and lexical patterns
Machining parameter optimisation by genetic algorithm and artificial neural network
An efficient, simulated and modified shrinkage procedure for the simple linear regression model
Using free open-source tools for text visualisation over unstructured corpus effectively
Missing value imputation via copula and transformation methods, with applications to financial and economic data
Selection of hazardous industrial waste transportation firm using extended VIKOR method under fuzzy environment
Predicting intraday prices in stock market transactions using similarity profiled temporal associations
An effective feature selection method based on maximum class separability for fault diagnosis of ball bearing
A machine learning algorithm for classification under extremely scarce information
Software fault prediction using Mamdani type fuzzy inference system
Assessment of the awareness of Cypriot accounting firms level concerning cyber risk: an exploratory analysis
A watchdog approach - name-matching algorithm for big data risk intelligence
Multicriteria decision analysis in programme management: evaluation of education infrastructure projects using the AHP
A meta-heuristic approach to car allocation problem to reduce transportation cost over a fixed number of routes
High-content image generation for drug discovery using generative adversarial networks
Component-based visual clustering using the self-organizing map
Graph-based composite local Bregman divergences on discrete sample spaces
Laminar cortical dynamics of visual form perception
HybridBranchNet: A novel structure for branch hybrid convolutional neural networks architecture
ADFQ-ViT: Activation-Distribution-Friendly post-training Quantization for Vision Transformers
Localize-diffusion based dual-branch anomaly detection
Genuine cross-correlations: Which surrogate based measure reproduces analytical results best?
Quasi-bipartite synchronization of signed delayed neural networks under impulsive effects
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling
Universal approximation with quadratic deep networks
Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks
Importance-aware adaptive dataset distillation
Leveraging hemispheric asymmetry in structural MRI with an attention-guided 3D CNN for early prediction of Alzheimer's conversion
Online learning of shaping rewards in reinforcement learning
Multi-view Teacher-Student Network
Decoupling time and space: An adaptive shared graph convolutional network for dynamic market price forecasting
Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks
A silicon retina for computing local edge orientations
Memory flow-controlled knowledge tracing with three stages
Other dimensions of attention
Stable locality sensitive discriminant analysis for image recognition
An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation
A neural network for learning the meaning of objects and words from a featural representation
Constructing a speculative kernel machine for pattern classification
Identification of piecewise linear dynamical systems using physically-interpretable neural-fuzzy networks: Methods and applications to origami structures
Exploring the categorical nature of colour perception: Insights from artificial networks
Tucker network: Expressive power and comparison
Visual reinforcement learning via sequential consistency preserved policy contrast from optimal transport view
Chaotic phase synchronization and desynchronization in an oscillator network for object selection
Finite-time stabilization control for discontinuous time-delayed networks: New switching design
Emotion recognition through facial expression analysis based on a neurofuzzy network
Predicting spike timings of current-injected neurons
Early stopping by correlating online indicators in neural networks
Fine-tune language models as multi-modal differential equation solvers
Visual-guided attentive attributes embedding for zero-shot learning
Hy-DeFake: Hypergraph neural networks for detecting fake news in online social networks
A neural theory of retino-cortical dynamics
Reinforcement learning with formation energy feedback for material diffusion models
Consistent and Specific Hashing for image set classification
Neural networks and approximation theory
Graph structure learning layer and its graph convolution clustering application
Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform
Nonlinear predictive control for adaptive adjustments of deep brain stimulation parameters in basal ganglia-thalamic network
An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment
Pyramid contrastive learning for clustering
Existence and global exponential stability of periodic solution of memristor-based BAM neural networks with time-varying delays
ESTSformer: Efficient spatio-temporal spiking transformer
LaenNet: Learning robust GCNs by propagating labels
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition
Event-triggered fault-tolerant control for input-constrained nonlinear systems with mismatched disturbances via adaptive dynamic programming
Graded information extraction by neural-network dynamics with multihysteretic neurons
Observer-based consensus tracking of stochastic multi-agent systems via control Lyapunov function
Infinite-dimensional reservoir computing
A digital implementation of neuron-astrocyte interaction for neuromorphic applications
Fuzzy ART properties
Enhancing motor imagery EEG classification with a Riemannian geometry-based spatial filtering (RSF) method
Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms
New classification scheme of cortical sites with the neuronal spiking characteristics
A systems approach to appraisal mechanisms in emotion
An assembly neural network for texture segmentation
Adaptive 2-bits-triggered neural control for uncertain nonlinear multi-agent systems with full state constraints
Characterization of training errors in supervised learning using gradient-based rules
PrivCore: Multiplication-activation co-reduction for efficient private inference
A survey for deep reinforcement learning in markovian cyber-physical systems: Common problems and solutions
The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study
A frequency-domain approach to improve ANNs generalization quality via proper initialization
Context-dependent retrieval of information by neural-network dynamics with continuous attractors
A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market
PyDiNet: Pyramid Dilated Network for medical image segmentation
Multi-feature balanced network for clothes-changing person re-identification
Improving dimensionality reduction with spectral gradient descent
Efficient hardware implementation of the subthalamic nucleus-external globus pallidus oscillation system and its dynamics investigation
Adaptive critic for sigma-pi networks
Tensorized anchor alignment for incomplete multi-view clustering
Static-dynamic class-level perception consistency in video semantic segmentation
Receptive field optimisation and supervision of a fuzzy spiking neural network
A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems
Logarithmic Learning Differential Convolutional Neural Network
Unified analysis on multistablity of fraction-order multidimensional-valued memristive neural networks
Emergence of attention within a neural population
Hemodynamic brain-computer interfaces for communication and rehabilitation
HirMTL: Hierarchical Multi-Task Learning for dense scene understanding
FDAU-Net: An efficient optic disc segmentation network with flexible wavelet convolution block and selective dual-attention fusion gate
An incremental network for on-line unsupervised classification and topology learning
A universal theorem on learning curves
Synchronization of reaction-diffusion delayed inertial memristive neural networks via adaptive pinning control
Diffusion policy distillation for offline reinforcement learning
An analysis of learning control by backpropagation through time
BrainS: Customized multi-core embedded multiple scale neuromorphic system
Evolutionary product unit based neural networks for regression
Optimization control for mean square synchronization of stochastic semi-Markov jump neural networks with non-fragile hidden information and actuator saturation
Top-down generation of low-resolution representations improves visual perception and imagination
Markov chain stochastic DCA and applications in deep learning with PDEs regularization
Beyond smoothness: A general optimization framework for graph neural networks with negative Laplacian regularization
PathTGSeg: The pathologic image segmentation of breast cancer via template matching and graphic calculation
Accelerated quadratic penalty dynamic approaches with applications to distributed optimization
Event-centric multi-modal fusion method for dense video captioning
Sample selection of adversarial attacks against traffic signs
Pinning synchronization of stochastic neutral memristive neural networks with reaction-diffusion terms
The Theoretical and Experimental Status of the n-tuple Classifier
ECCT: Efficient Contrastive Clustering via Pseudo-Siamese Vision Transformer and Multi-view Augmentation
A cause fusion framework with information bottleneck for conversational causal emotion entailment
Immediate return preference emerged from a synaptic learning rule for return maximization
QWNet: A quaternion wavelet network for spatial-frequency aware multi-modal image fusion
Generative and contrastive graph representation learning with message passing
Efficient network architecture search via multiobjective particle swarm optimization based on decomposition
Diminishing spectral bias in physics-informed neural networks using spatially-adaptive Fourier feature encoding
SpikeCell: a deterministic spiking neuron
Chaotic dynamics of a behavior-based miniature mobile robot: effects of environment and control structure
A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks
Wind power generation forecasting system based on multi-model intelligent fusion strategy and probabilistic forecasting technology
Goals, drives, and consciousness
Recurrent neural networks with trainable amplitude of activation functions
Coherent optical neural network chip with novel computing model for large-scale matrix-vector multiplication
An algorithm to generate radial basis function (RBF)-like nets for classification problems
Embedded neural networks: exploiting constraints
Graph-patchformer: Patch interaction transformer with adaptive graph learning for multivariate time series forecasting
Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviors
Computer-aided optimal designs for improving neural network generalization
Keyword spotting techniques to improve the recognition accuracy of user-defined keywords
The error surface of the 2-2-1 XOR network: The finite stationary points
Continual learning with Bayesian compression for shared and private latent representations
Signed graph embedding via multi-order neighborhood feature fusion and contrastive learning
Object-centric proto-symbolic behavioural reasoning from pixels
Using ANNs to predict a subject's response based on EEG traces