yusuke1997/dblp-id-title huggingface dataset:
Time series modeling and forecasting based on a Markov chain with changing transition matrices
Heterogeneous data source integration for smart grid ecosystems based on metadata mining
An algorithm for automatic selection and combination of forecast models
An effective Power Quality classifier using Wavelet Transform and Support Vector Machines
Using linguistic preferences and grey relational analysis to evaluate the environmental knowledge management capacity
FIGS-SLAM: Gaussian splatting SLAM with dynamic frequency control and influence-based pruning
LUMIOS - Label using machine in organic samples - A software for dereplication, molecular docking, and combined machine and deep learning
A fast graph modification method for social network anonymization
Classification-based strategic weight manipulation in multiple attribute decision making
RankSum - An unsupervised extractive text summarization based on rank fusion
Dung beetle optimization algorithm based on quantum computing and multi-strategy fusion for solving engineering problems
Risk analysis in a linguistic environment: A fuzzy evidential reasoning-based approach
An efficient Q-learning integrated multi-objective hyper-heuristic approach for hybrid flow shop scheduling problems with lot streaming
Real time brain stroke identification using face images based on machine learning and booby bird optimization
Learning-based estimation of operators' psycho-physiological state
Multi-behavior recommendation with SVD Graph Neural Networks
An improved fault-tolerant cultural-PSO with probability for multi-AGV path planning
Control strategies for high-power electric vehicles powered by hydrogen fuel cell, battery and supercapacitor
Prediction of cardiac end-systolic and end-diastolic diameters in m-mode values using adaptive neural fuzzy inference system
Enhancing stockmarket trading performance with ANNs
Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks
Scene classification based on single-layer SAE and SVM
A fuzzy incidence coloring to monitor traffic flow with minimal waiting time
BoostCount: Diffusion-based position-sensitive adversarial purification for crowd counting
Automatic construction of RDF with web tables
Cell formation in group technology using constraint programming and Boolean satisfiability
Enhancing topic-detection in computerized assessments of constructed responses with distributional models of language
Semi-supervised model-based clustering with controlled clusters leakage
Water quality evolution mechanism modeling and health risk assessment based on stochastic hybrid dynamic systems
High Relevance Keyword Extraction facility for Bayesian text classification on different domains of varying characteristic
Discussion of "Bhattacharya, A., & Chattopadhyay, P. K. (2010). Solving complex economic load dispatch problems using biogeography-based optimization. Expert Systems with Applications, 37(5), 3605-3615"
Efficiency measures of PCB manufacturing firms using relational two-stage data envelopment analysis
A bi-objective optimization for finance-based and resource-constrained robust project scheduling
A multi-level thresholding image segmentation method using hybrid Arithmetic Optimization and Harris Hawks Optimizer algorithms
Machine Learning analysis of the human infant gut microbiome identifies influential species in type 1 diabetes
Counting and locating high-density objects using convolutional neural network
DRR: A new method for multiple adverse weather removal
Fuzzy optimisation based cricket talent identification
A time series-based statistical approach for outbreak spread forecasting: Application of COVID-19 in Greece
An approach to model building for accelerated cooling process using instance-based learning
FAD: Feature augmented distillation for anomaly detection and localization
An experimental investigation of the impact of domain complexity on knowledge acquisition (KA) methods
Mexican traffic sign detection and classification using deep learning
Group decision making with hesitant fuzzy linguistic preference relations based on modified extent measurement
An expansion and reranking approach for annotation-based image retrieval from Web
Optimizing solar-wind hybrid energy systems for sustainable charging stations and commercial applications: A two-stage framework with ebola-inspired optimization
Turning telecommunications call details to churn prediction: a data mining approach
Predicting and analyzing the popularity of false rumors in Weibo
A new look of dispatching for multi-objective interbay AMHS in semiconductor wafer manufacturing: A T-S fuzzy-based learning approach
Erratum to: "A smart access control using an efficient license plate location and recognition approach" [Expert Syst. Appl 34 (1) (2008) 256-265]
Multi-subject human activities: A survey of recognition and evaluation methods based on a formal framework
CAR-Miner: An efficient algorithm for mining class-association rules
Neural machine translation systems for English to Khasi: A case study of an Austroasiatic language
On efficient reverse skyline query processing
Mining spatiotemporal dominant co-location patterns
Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering
Optimizing a decomposed high-speed rail multi-station shortest sequence problem
Monaural speech enhancement through deep wave-U-net
A web-based decision support system for examination timetabling
Parallel multi-objective multi-robot coalition formation
An effective discrete monarch butterfly optimization algorithm for distributed blocking flow shop scheduling with an assembly machine
A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM
Real-time high-precision roll-pitch estimation of land-air vehicles using sensor fusion and improved discrete observers
Detection and analysis of shaft misalignment in application of production and logistics systems using motor current signature analysis
Comodo: Collaborative monitoring of commitment delegations
A new hybrid distribution paradigm: Integrating drones in medicines delivery
Prediction of values of the dynamic signature features
Application of neural networks and Kano's method to content recommendation in web personalization
Forecasting China's total renewable energy capacity using a novel dynamic fractional order discrete grey model
Preference-based multi-objective evolutionary algorithms for power-aware application mapping on NoC platforms
Level-set-based multiplicative intrinsic component optimization for brain tissue segmentation in T1-W and T2-W modality MRI
A hybrid model integrating artificial neural network with multiple GARCH-type models and EWMA for performing the optimal volatility forecasting of market risk factors
Multi-source data based anomaly detection through temporal and spatial characteristics
Erratum to "DiSeg 1.0: The first system for Spanish discourse segmentation" [Expert Systems with Applications 39 (2) (2011) 1671-1678]
Design of a knowledge-based performance evaluation system: A case of high-tech state-owned enterprises in an emerging economy
Intrusion Detection using hybridized Meta-heuristic techniques with Weighted XGBoost Classifier
Counting in congested crowd scenes with hierarchical scale-aware encoder-decoder network
Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognition
Potential of organizational memory for creating service performance: A cross-level analysis
Is the vessel fishing? Discrimination of fishing activity with low-cost intelligent mobile devices through traditional and heuristic approaches
Sensitivity analysis of Bayesian networks to parameters of the conditional probability model using a Beta regression approach
Robust non-radial data envelopment analysis models under data uncertainty
Software bug prediction using graph neural networks and graph-based text representations
Multi-objective closed-loop supply chain network design: A novel robust stochastic, possibilistic, and flexible approach
Multi-Objective chimp Optimizer: An innovative algorithm for Multi-Objective problems
A comprehensive analysis of grid-based wind turbine layout using an efficient binary invasive weed optimization algorithm with levy flight
Neutrosophic rule-based prediction system for toxicity effects assessment of biotransformed hepatic drugs
Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances
Metric learning networks for accurate mineral detection with different augmentation techniques
Intelligent vehicle decision-making strategy integrating spatiotemporal features at roundabout
3D anthropometric algorithms for the estimation of measurements required for specialized garment design
Adaptive formation eco-driving framework for connected automated vehicles at signalized intersections: A deep reinforcement learning approach
Emotion embedding framework with emotional self-attention mechanism for speaker recognition
A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors
A systematic approach to modeling synchronous generator using Markov parameters and Takagi-Sugeno fuzzy systems
Linear control policies for online vehicle relocation in shared mobility systems
Coding, evaluation and optimal selection of a mechatronic system
Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014
A two-stage evolutionary algorithm with restart scheme for an integrated robot-task-scheduling and vehicle-dispatch-scheduling problem
Novel implicit-trust-network-based recommendation methodology
An analytical system for user emotion extraction, mental state modeling, and rating
An encryption algorithm for full-size color and grayscale images utilizing heterogeneous optical chaos systems
Automatic linear causal relationship identification for financial factor modeling
Beyond entity alignment: Towards complete knowledge graph alignment via entity-relation synergy
A static semi-kitting strategy system of JIT material distribution scheduling for mixed-flow assembly lines
Flexible patch moving modes for pixel-value-ordering based reversible data hiding methods
Segment Anything Model for fetal head-pubic symphysis segmentation in intrapartum ultrasound image analysis
Burst analysis for automatic concept map creation with a single document
A fuzzy logic-based system for assessing the level of business-to-consumer (B2C) trust in electronic commerce
Erratum to "Dengue confirmed-cases prediction: A neural network model" [Expert Systems with Applications 37 (2010) 4256-4260]
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
GRASP and hybrid GRASP-Tabu heuristics to solve a maximal covering location problem with customer preference ordering
LOOPLINE: Parallel Monte-Carlo tree search with knowledge constraints and its application in query optimization
M-DETR: Multi-scale DETR for Optical Music Recognition
Trust and personalized individual semantics based fusion method for heterogeneous multi-criteria group decision making and application to live streaming commerce
AD-RRT*: An RRT*-based global path planning approach for underwater gliders with alpha shapes and DBSCAN
A study on flowshop scheduling problem combining Taguchi experimental design and genetic algorithm
Good point set and double attractors based-QPSO and application in portfolio with transaction fee and financing cost
Understanding fluctuations through Multivariate Circulant Singular Spectrum Analysis
A hybrid approach based on mathematical modelling and improved online learning algorithm for data classification
IoMT innovations in diabetes management: Predictive models using wearable data
A quantitative image analysis for the cellular cytoskeleton during in vitro tumor growth
A hybrid route planning approach for logistics with pickup and delivery
Improving traffic light systems using Deep Q-networks
Automatic counting of lettuce using an improved YOLOv5s with multiple lightweight strategies
Modeling observer stress for typical real environments
A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box
New efficient hybrid candlestick technical analysis model for stock market timing on the basis of the Support Vector Machine and Heuristic Algorithms of Imperialist Competition and Genetic
A novel locality-sensitive hashing relational graph matching network for semantic textual similarity measurement
On the effect of subjective, objective and combinative weighting in multiple criteria decision making: A case study on impact optimization of composites
A hesitant fuzzy linguistic bi-objective clustering method for large-scale group decision-making
Dynamic portfolio rebalancing with lag-optimised trading indicators using SeroFAM and genetic algorithms
Adaptive precision layering for efficient adversarial training of deep learning models in intelligent vehicles
Spatial-frequency dual contrastive learning for online group recommendation in event-based social networks
GPT-empowered question-answer dataset for informative and empathetic support for Korean childhood cancer survivors
A novel robust liquid level controller for coupled-tanks systems using artificial hydrocarbon networks
OTPS-VO: Enhanced RGB-D odometry for indoor service robots leveraging structural features
Cross-domain collaborative learning for single image deraining
Lane change strategy analysis and recognition for intelligent driving systems based on random forest
Time-dependent personal tour planning and scheduling in metropolises
Accurate water quality prediction with attention-based bidirectional LSTM and encoder-decoder
Complete coverage path planning for reconfigurable omni-directional mobile robots with varying width using GBNN(n)
Causal carbon price interval prediction using lower upper bound estimation combined with asymmetric multi-objective evolutionary algorithm and long short-term memory
Effective evaluation model under the condition of insufficient and uncertain information
Touch-text answer for human-robot interaction via supervised adversarial learning
Explicit song lyrics detection with subword-enriched word embeddings
SSRM: Efficient spectral reconstruction Mamba with multiscale spectral-spatial correlation
An agent-based system for bilateral contracts of energy
Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different kernels: An empirical comparison from a large dataset
Indifference subspace of deep features for lung nodule classification from CT images
Conformal prediction of option prices
A fast local citation recommendation algorithm scalable to multi-topics
An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
Classification of weld flaws with imbalanced class data
An NLP-Powered Human Rights Monitoring Platform
An attention enhanced sentence feature network for subtitle extraction and summarization
Fine-grained part-of-speech and hierarchical interactive contrastive learning for aspect sentiment triplet extraction
MDCADNet: Multi dilated & context aggregated dense network for non-textual components classification in digital documents
A novel spherical decision-making model for measuring the separateness of preferences for drivers' behavior factors associated with road traffic accidents
Improving patient-care services at an oncology clinic using a flexible and adaptive scheduling procedure
A boosted SVM classifier trained by incremental learning and decremental unlearning approach
Negation and entropy: Effectual knowledge management equipment for learning organizations
Trust estimation in a virtual team: A decision support method
Mining the breast cancer pattern using artificial neural networks and multivariate adaptive regression splines
Deep learning-based image compression for enhanced hyperspectral processing in the protection of stone cultural relics
Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry
A recommender system to avoid customer churn: A case study
TPP: A temporal-enhanced propagation probability model for identifying influential nodes in complex networks
RSSD: A regional-level Resource-Saving Snow Detection Model for winter road surface maintenance
The evolution dynamics of collective and individual opinions in social networks
Simple is what you need for efficient and accurate medical image segmentation
A comparative study on thyroid disease diagnosis using neural networks
Learning to automatically spectate games for Esports using object detection mechanism
A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data
Photovoltaic cell defect classification based on integration of residual-inception network and spatial pyramid pooling in electroluminescence images
Context model based edge preservation filter for impulse noise removal
WDAE-GAN: A hybrid dual autoencoder and generative adversarial framework with wavelet denoising for credit card fraud detection
Synonym recognition from short texts: A self-supervised learning approach
Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kaua'i and Moloka'i Islands, Hawaii
Real-time and multimodal brain slice-to-volume registration using CNN
Kalman filter-based distributed Gaussian process for unknown scalar field estimation in wireless sensor networks
Human memory optimization algorithm: A memory-inspired optimizer for global optimization problems
A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier
Knowledge graph embedding by relational rotation and complex convolution for link prediction
Fuzzy rule interpolation based on the ratio of fuzziness of interval type-2 fuzzy sets
A method to assist designers in optimizing the exterior styling of vehicles based on key features
Estimating crowd density with edge intelligence based on lightweight convolutional neural networks
SatCoBiLSTM: Self-attention based hybrid deep learning framework for crisis event detection in social media
CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images
Knowledge management and its link to artificial intelligence
Customization or jailbreaking for bloatware: strategic impacts of consumer-initiated behavior of software products
Classifying deceptive reviews for the cultural heritage domain: A lexicon-based approach for the Italian language
Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures
Ultra-lightweight face activation for dynamic vision sensor with convolutional filter-level fusion using facial landmarks
Kernel meets recommender systems: A multi-kernel interpolation for matrix completion
Automatic dynamic generation of likely invariants for WS-BPEL compositions
An efficient convolutional neural network for coronary heart disease prediction
Clinical charge profiles prediction for patients diagnosed with chronic diseases using Multi-level Support Vector Machine
Dynamic collaborative evolutionary network: A novel spatio-temporal feature extraction framework for EEG emotion recognition
Small samples-oriented intrinsically explainable machine learning using Variational Bayesian Logistic Regression: An intensive care unit readmission prediction case for liver transplantation patients
CAMU-Net: Copy-move forgery detection utilizing coordinate attention and multi-scale feature fusion-based up-sampling
A symbolic regression-based modelling strategy of AC/DC rectifiers for RFID applications
Mining customer knowledge for tourism new product development and customer relationship management
A Multi-Objective Perspective to Satellite Design and Reliability Optimization
Knowledge-guided clustering based algorithm for cross-domain recommendation problems with partially overlapping users and multiple source-domains
Determination of temporal information granules to improve forecasting in fuzzy time series
Fault tolerance in LWT-SVD based image watermarking systems using three module redundancy technique
Establishing an Integrated Process Management System (IPMS) in ship management companies
Mining place-matching patterns from spatio-temporal trajectories using complex real-world places
The scope of application of multi-agent systems in the process industry: three case studies
CGA-STNet: A dockless shared bicycle demand prediction model considering multiple spatial features and time periodicity
Diagnosis of bladder cancers with small sample size via feature selection
Optimal contract design for a supply chain with information asymmetry under dual environmental responsibility constraints
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks
Evaluating students' learning achievement using fuzzy membership functions and fuzzy rules
IMAEN: An interpretable molecular augmentation model for drug-target interaction prediction
Immediate water quality assessment in shrimp culture using fuzzy inference systems
Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic
Feature-guided multi-view clustering by jointing local subspace label learning and global label learning
OS-FCM: A semi-supervised clustering approach to investigating consumers' usage patterns of contactless shopping-delivery (S-D) channel
Memetic niching-based evolutionary algorithms for solving nonlinear equation system
Semantic-driven watermarking of relational textual databases
A knowledge-based automated design system for mechanical products based on a general knowledge framework
Functional consistency of LLM code embeddings: A self-evolving data synthesis framework for benchmarking
A novel knee-guided algorithm based on frequency analysis for non-cyclic dynamic multiobjective optimization problems
Text condition embedded regression network for automated dental implant abutment design
High invisibility image steganography with wavelet transform and generative adversarial network
Graph-Transformer with spatial-spectral features fusion for hyperspectral image classification
ONTOarg: A decision support framework for ontology integration based on argumentation
Forecasting the trajectory of personal watercrafts using models based on recurrent neural networks
Privacy-preserving human action recognition as a remote cloud service using RGB-D sensors and deep CNN
Micro-Doppler radar classification of humans and animals in an operational environment
An interactive procedure to improve estimate of value efficiency in DEA
Investigating global language networks using Google search queries
Aged Care Projects Evaluation Research Based on the Self-Adaptive Consensus Emergence Model Driven by the Social Learning Mechanism
Secure medical image encryption scheme for Healthcare IoT using novel hyperchaotic map and DNA cubes
Multi-criteria decision making approach based on immune co-evolutionary algorithm with application to garment matching problem
Generating fuzzy graph based Multi-document summary of text based learning materials
Multi-sensor bearing fault diagnosis based on evidential neural network with sensor weights and reliability
POI-3DGCN: Predicting odor intensity of monomer flavors based on three-dimensionally embedded graph convolutional network
Multi-objective optimization of gasoline blending scheduling via NSGA-II algorithm with composite operators considering oil movement path planning
A new data mining approach to estimate causal effects of policy interventions
Community detection and influential node identification in complex networks using mathematical programming
Integrated ternary scheduling and execution bottleneck identification in stochastic job shops
EEG-DTIL: An EEG-based dynamic task-incremental learning method for decoding ADL-oriented motor imagery pairs
Comparison between the artificial neural network system and SAFT equation in obtaining vapor pressure and liquid density of pure alcohols