yusuke1997/dblp-id-title huggingface dataset:
Classification of epileptic EEG signals with the utilization of Bonferroni mean based fuzzy pattern tree
Using data mining techniques to automatically construct concept maps for adaptive learning systems
Fuzzy multi-objective programming: A systematic literature review
K-mixup: Data augmentation for offline reinforcement learning using mixup in a Koopman invariant subspace
Adaptive marine traffic behaviour pattern recognition based on multidimensional dynamic time warping and DBSCAN algorithm
Design and implementation of an intelligent DNS management system
Spectral kurtosis attention network (SKAN): Synergizing signal processing and deep learning for fault diagnosis of rolling element bearings
An improved overlapping k-means clustering method for medical applications
An ensemble of Xgboost models for detecting disorders of consciousness in brain injuries through EEG connectivity
Multi-order attributes information fusion via hypergraph matching for popular fashion compatibility analysis
Sub-population improved grey wolf optimizer with Gaussian mutation and Lévy flight for parameters identification of photovoltaic models
DPDnet: A robust people detector using deep learning with an overhead depth camera
Discovering filter keywords for company name disambiguation in twitter
Money laundering and terrorism financing detection using neural networks and an abnormality indicator
Development of a decision-making strategy to improve the efficiency of BPR
Early online detection of high volatility clusters using Particle Filters
MHCD: Multi-Hierarchy Interactive Constraint-Aware Cognitive Diagnosis Framework
A study of developing an input-oriented ratio-based comparative efficiency model
Website categorization: A formal approach and robustness analysis in the case of e-commerce detection
Modeling and analyzing Social Networks of Games
A multi-criteria interval-valued intuitionistic fuzzy group decision making with Choquet integral-based TOPSIS
Combining high frequency data with non-linear models for forecasting energy market volatility
Innovation support system for creative product design based on chance discovery
Glyph graph isomorphism network for structure recognition of oracle bone inscription
A novel stochastic-robust optimization model for emergency supplies prepositioning under uncertain scenario probabilities
Adaptive recursive Gaussian mixture regression model for dynamic evolution prediction of multimode gas-water two-phase flow process
Self-adaptive moth flame optimizer combined with crossover operator and Fibonacci search strategy for COVID-19 CT image segmentation
Parameter identification of chaotic systems using evolutionary programming approach
ISONet: Reforming 1DCNN for aero-engine system inter-shaft bearing fault diagnosis via input spatial over-parameterization
A novel self-learning feature selection approach based on feature attributions
Frequency domain complex-valued convolutional neural network
GRASP with path relinking for commercial districting
Brief survey of crowdsourcing for data mining
Innovation quality in knowledge cities: Empirical evidence of innovation award competitions in Finland
IMLL-DETR: An intelligent model for detecting multi-scale litchi leaf diseases and pests in complex agricultural environments
Hybrid binary grey wolf naked mole-rat algorithm for fragment-type UWB antenna optimization using time-varying transfer functions
Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees
Deep learning with long short-term memory neural networks combining wavelet transform and principal component analysis for daily urban water demand forecasting
Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates
A distribution network optimization problem for third party logistics service providers
A fuzzy multi-objective decision-making model for global green supplier selection and order allocation under quantity discounts
Bio-inspired approach to learning robot motion trajectories and visual control commands
Extracting control variables of casting processes with NMF and rule extraction
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting
An efficient model of enhanced optimization and dilated-GRU based secured multi-access edge computing with blockchain for VANET sector
Machine learning- and statistical-based voice analysis of Parkinson's disease patients: A survey
Calibrated fuzzy AHP for current bank account selection
Interpretability metrics and optimization methods for belief rule based expert systems
Long multispan prediction model for machine reading comprehension in healthcare domain
Forest PA: Constructing a decision forest by penalizing attributes used in previous trees
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
Fuzzy logic design of self-tuning switching power supply
Pricing currency options with support vector regression and stochastic volatility model with jumps
Safe navigation for robotic digestive endoscopy via human intervention-based reinforcement learning
CHAMP: Creating heuristics via many parameters for online bin packing
EOCSA: Predicting prognosis of Epithelial ovarian cancer with whole slide histopathological images
Discovering gene-gene relations from sequential sentence patterns in biomedical literature
Applying an intelligent notification mechanism to blogging systems utilizing a genetic-based information retrieval approach
Dynamic prediction of financial distress using Malmquist DEA
Optimal pricing and patient satisfaction optimization for healthcare providers
Designing of dynamic labor inspection system for construction industry
Response strategies for coping with imperfect items of a joint replenishment model with the adaptive bare-bone differential evolution
Implementing support vector regression with differential evolution to forecast motherboard shipments
A novel approach for multimodal medical image fusion
Comparison of classification accuracy using Cohen's Weighted Kappa
MSSTGIN: A novel adaptive graph method for long-term traffic speed forecasting considering global-local multiscale spatiotemporal correlations
A physically inspired and bounded metric learning framework for fault detection and multi-class classification in mechanical systems
Automatic fuzzy decision making system with learning for competing and connected businesses
VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for muti- and many-objective optimization algorithm
RDF-TDAA: Optimizing RDF indexing and querying with a trie based on Directly Addressable Arrays and a path-based strategy
A probabilistic clustering model for hate speech classification in twitter
Sentiment analysis on social media for stock movement prediction
Immersive technology-enabled digital transformation in transportation fields: A literature overview
An improved SVD-based watermarking technique for copyright protection
Fusing frequent sub-sequences in the session-based recommender system
Research trends in text mining: Semantic network and main path analysis of selected journals
Application of Monte Carlo AHP in ranking dental quality attributes
A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization
Deterministic ordering policy with price- and stock-dependent demand under fluctuating cost and limited capacity
Indirect immunofluorescence image classification using texture descriptors
Efficient retinal detachment classification using hybrid machine learning with levy flight-based optimization
Short-term high-speed rail passenger flow forecasting integrated extended empirical mode decomposition with multivariate and bidirectional support vector machine
Oversampling method using outlier detectable generative adversarial network
Global stock market investment strategies based on financial network indicators using machine learning techniques
Multi-modality object detection with sonar and underwater camera via object-shadow feature generation and saliency information
Ranking discovered rules from data mining with multiple criteria by data envelopment analysis
Occupational groups prediction in Turkish Twitter data by using machine learning algorithms with multinomial approach
Accelerated preconditioned convex difference algorithm solving multilayer graph Ginzburg-Landau energy minimization for data classification
Driving risk-aversive motion planning in off-road environment
Feature extraction techniques for ground-based cloud type classification
A supervised method to discriminate between impostors and genuine in biometry
Multi-Source Information Fusion Graph Convolution Network for traffic flow prediction
Towards a common implementation of reinforcement learning for multiple robotic tasks
Multi-modal zero-shot dynamic hand gesture recognition
Evaluating text classification: A benchmark study
Interpretation of Myers-Briggs Type Indicator personality profiles based on ambivert continuum scale
Multi-order Chebyshev-based composite relation graph matching network for temporal sentence grounding in videos
Breast tumor classification using a new OWA operator
Knowledge-embedded graph representation learning for document-level relation extraction
Gene selection and classification using Taguchi chaotic binary particle swarm optimization
Intelligent target recognition based on wavelet packet neural network
Multiobjective Markov chains optimization problem with strong Pareto frontier: Principles of decision making
Universal screen-shooting robust image watermarking with channel-attention in DCT domain
Theory-guided agent-based modeling for crime prediction and decision support
MIJ2K Optimization using evolutionary multiobjective optimization algorithms
MCPT-CAF-BiGRU: A multi-scale CNN and ProbSparse-Masked Transformer model with cross-attention fusion and BiGRU for hourly wind speed forecasting
Fault-tree analysis for liquefied natural gas terminal emergency shutdown system
Identifying core sets of discriminatory features using particle swarm optimization
Multiple Similarity-based Features Blending for Detecting Code Clones using Consensus-Driven Classification
Effective product assignment based on association rule mining in retail
Chaos-based improved immune algorithm (CBIIA) for resource-constrained project scheduling problems
Quaternion model of Pythagorean fuzzy sets and its distance measure
Hybrid fuzzy support vector classifier machine and modified genetic algorithm for automatic car assembly fault diagnosis
Face swapping with adaptive exploration-fusion mechanism and dual en-decoding tactic
An improved data mining approach using predictive itemsets
Learning multiple attention transformer super-resolution method for grape disease recognition
Fuzzy stochastic data envelopment analysis with application to base realignment and closure (BRAC)
A dynamic and on-line ensemble regression for changing environments
Improving artificial algae algorithm performance by predicting candidate solution quality
EPDPM-SinGAN: Enhancing urban street semantic segmentation with region-wise GANs feature
Deformation based feature selection for Computer Aided Diagnosis of Alzheimer's Disease
Sin-Cos-bIAVOA: A new feature selection method based on improved African vulture optimization algorithm and a novel transfer function to DDoS attack detection
Manufacturing service recommendation method toward industrial internet platform considering the cooperative relationship among enterprises
Time-series interval prediction under uncertainty using modified double multiplicative neuron network
A novel framework of knowledge transfer system for construction projects based on knowledge graph and transfer learning
A real-time food safety management system for receiving operations in distribution centers
ZeroEVNet: A multimodal zero-shot learning framework for scalable emergency vehicle detection
Object-centric process predictive analytics
Consciousness driven Spike Timing Dependent Plasticity
Grocery product detection and recognition
Using neural network ensembles for bankruptcy prediction and credit scoring
RespiDiag: A Case-Based Reasoning System for the Diagnosis of Chronic Obstructive Pulmonary Disease
LDAS: Local density-based adaptive sampling for imbalanced data classification
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests
csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention
A flexible enhanced fuzzy min-max neural network for pattern classification
Block-diagonal structure learning for subspace clustering
Training children with autism spectrum disorder, and children in general with AI robots related to the automatic organization of sentence menus and interaction design evaluation
Real-time object detection using improvised YOLOv4 and feature mapping technique for autonomous driving
Analyzing multilingual knowledge innovation in patents
Curriculum learning based approach for noise robust language identification using DNN with attention
Dual resource allocation for enhancing vehicle tracking using deep neural network and Bayesian LoRa
An expert fuzzy system to detect dangerous circumstances due to children in the traffic areas from the video content analysis
Historical pattern recognition with trajectory similarity for daily tourist arrivals forecasting
Enhanced speaker-turn aware hierarchical model for automated classroom dialogue act classification
WBCD breast cancer database classification applying artificial metaplasticity neural network
Extracting music genes for era classification
K-shape clustering and STL decomposition with transformer fusion RF user power consumption forecasting model
Complex Network based Supervised Keyword Extractor
Evaluating new concepts of PSS based on the customer value: Application of ANP and niche theory
SocialHaterBERT: A dichotomous approach for automatically detecting hate speech on Twitter through textual analysis and user profiles
Mixed gray-color images encryption algorithm based on a memristor chaotic system and 2D compression sensing
QRPC: A new qualitative model for representing motion patterns
Hybrid intelligent vision-based car-like vehicle backing systems design
Picture fuzzy extension of the CODAS method for multi-criteria vehicle shredding facility location
Insolvency modeling in the cellular telecommunication industry
An evolving approach to unsupervised and Real-Time fault detection in industrial processes
Revolutionizing lung cancer classification through Artificial Intelligence: A Concise review
Optimizing diverse team formation with swarm intelligence algorithms for enhancing organizational performance
Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem
Development of pistachio sorting system using principal component analysis (PCA) assisted artificial neural network (ANN) of impact acoustics
A mining-based approach on discovering courses pattern for constructing suitable learning path
Application of adaptive neuro-fuzzy inference system in modeling fatigue life under interspersed mixed-mode (I and II) spike overload
A MCDM approach for sourcing strategy mix decision in IT projects
Multimodal deep learning water level forecasting model for multiscale drought alert in Feiyun River basin
Artificial neural networks for classifying the time series sensor data generated by medical detection dogs
Cosine similarity based anomaly detection methodology for the CAN bus
Tiny object detection with context enhancement and feature purification
Real-time fusion multi-tier DNN-based collaborative IDPS with complementary features for secure UAV-enabled 6G networks
Prior-free rare category detection: More effective and efficient solutions
An internal validity index for arbitrarily shaped clusters
Knowledge discovery in financial investment for forecasting and trading strategy through wavelet-based SOM networks
Application of backend database contents and structure to the design of spoken dialog services
Developing a supply chain disruption analysis model: Application of colored Petri-nets
The study of applying ANP model to assess dispatching rules for wafer fabrication
On-line industrial supervision and diagnosis, knowledge level description and experimental results
Display text segmentation after learning best-fitted OCR binarization parameters
A Gaussian Process model for UAV localization using millimetre wave radar
Development of a fuzzy decision support system for commodity acquisition using fuzzy analytic network process
Knowledge acquisition through information granulation for imbalanced data
Continuous review inventory model with variable lead time in a fuzzy random environment
Multiroute fresh produce green routing models with driver fatigue using Type-2 fuzzy logic-based DFWA
Optimal on-demand bus operation with passenger split and time window flexibility under fare incentives
Driver behavior detection and classification using deep convolutional neural networks
MeshKINN: A self-supervised mesh generation model based on Kolmogorov-Arnold-Informed neural network
A two-stage stochastic programming model for comprehensive risk response action selection: A case study in Industry 4.0
New Chebyshev distance measures for Pythagorean fuzzy sets with applications to multiple criteria decision analysis using an extended ELECTRE approach
A very lightweight and efficient image super-resolution network
Random interest regions for object recognition based on texture descriptors and bag of features
Disentangling the intrinsic feature from the related feature in image classification using knowledge distillation and object replacement
Fast multi-view clustering via anchor label transmit with tensor structure constraint
Reply to note on The common due-date early/tardy scheduling problem on a parallel machine under the effects of time-dependent learning and linear and nonlinear deterioration
Explainable and context-aware Graph Neural Networks for dynamic electric vehicle route optimization to optimal charging station
E-TransConvNet: An enhanced transformer and convolutional network for medical image segmentation from ultrasound and CT images
Generalized multi-view learning based on generalized eigenvalues proximal support vector machines
A combined fuzzy linear regression and fuzzy multiple objective programming approach for setting target levels in quality function deployment
Enhancing multi-step air quality prediction with deep learning using residual neural network and adaptive decomposition-based multi-objective optimization
A decision support system for optimised industrial water management
A novel robust kernel for classifying high-dimensional data using Support Vector Machines
Gwo-ga-xgboost-based model for Radio-Frequency power amplifier under different temperatures
Data mining and preprocessing application on component reports of an airline company in Turkey
Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems
DBVS-APF-RRT*: A global path planning algorithm with ultra-high speed generation of initial paths and high optimal path quality
Facial emotion recognition using empirical mode decomposition
Better wind forecasting using Evolutionary Neural Architecture search driven Green Deep Learning
Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients
Development of an expert system to aid engineers in the selection of design for environment methods and tools
BIM-based augmented reality navigation for indoor emergency evacuation
Enhancing bone-conducted speech through a pre-trained transformer with low-rank driven sparsity bootstrapping
Evaluating the use of ECG signal in low frequencies as a biometry
Performance implications of knowledge management processes: Examining the roles of infrastructure capability and business strategy
Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies
SPPE-GAN: A novel model for Die-to-Database alignment and SEM distortion correction framework
FuzzyGCP: A deep learning architecture for automatic spoken language identification from speech signals
Brain asymmetry-guided network model for infarct lesion segmentation in acute ischemic stroke
An efficient intrusion detection system based on support vector machines and gradually feature removal method
PSO-based image encryption scheme using modular integrated logistic exponential map
On the performance of multi-GPU-based expert systems for acoustic localization involving massive microphone arrays
Identifying sunlit leaves using Convolutional Neural Networks: An expert system for measuring the crop water stress index of pistachio trees
An enhanced machine learning covering-based bipolar L-fuzzy rough set PROMETHEE model for battery storage systems in renewable energy
Dynamic link prediction: Using language models and graph structures for temporal knowledge graph completion with emerging entities and relations
LLM-powered scene graph representation learning for image retrieval via visual triplet-based graph transformation
A novel support vector sampling technique to improve classification accuracy and to identify key genes of leukaemia and prostate cancers
New formulations for the traveling repairman problem with time windows
Pedestrian dynamics model for high densities
Enhancing protein structure predictions: DeepSHAP as a tool for understanding AlphaFold2
CM-MRAG: A multimodal retrieval-augmented framework for content moderation
Study on outlier detection algorithm based on tightest neighbors
Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction
Predicting a distribution of implied volatilities for option pricing
A heuristic method for the inventory routing problem with time windows
A randomized model ensemble approach for reconstructing signals from faulty sensors
Solution path algorithm for twin multi-class support vector machine
Multimodal selective state space model-based time series classification for electricity theft detection
Efficient dynamic time warping for 3D handwriting recognition using gyroscope equipped smartphones
Modeling a flexible manufacturing cell using stochastic Petri nets with fuzzy parameters
Design of a graph-oriented database for data management in statistical data infrastructure
Identification of continuous-time Hammerstein systems by simultaneous perturbation stochastic approximation
Assessing sentence scoring techniques for extractive text summarization
Optimal design of multi-storage network for combined sewer overflow management using a diversity-guided, cyclic-networking particle swarm optimizer - A case study in the Gunja subcatchment area, Korea
An application of one-class support vector machines in content-based image retrieval
A hybrid feedforward neural network algorithm for detecting outliers in non-stationary multivariate time series
A Mathematical Programming Approach to Sparse Canonical Correlation Analysis
Hybrid energy-efficient scheduling measures for flexible job-shop problem with variable machining speeds
Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields
Performance evaluation of outlier detection techniques in production timeseries: A systematic review and meta-analysis
A nearest neighbor approach for fruit recognition in RGB-D images based on detection of convex surfaces
Language independent semantic kernels for short-text classification
Lagrangian relaxation method for solving a new time-dependent production-distribution planning model
Corrigendum to "A novel sparse representation model for pedestrian abnormal trajectory understanding" [Expert Systems with Applications, Volume 138, 30 December 2019, 112753]
Accuracy evaluation of classification models on partially labeled datasets
OntoPortal: An ontology-supported portal architecture with linguistically enhanced and focused crawler technologies
Empirical analysis of support vector machine ensemble classifiers