yusuke1997/dblp-id-title huggingface dataset:
Generating project risk response strategies based on CBR: A case study
An efficient approach for mining association rules from high utility itemsets
A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem
Automatic recognition of cognitive fatigue from physiological indices by using wavelet packet transform and kernel learning algorithms
Rural last-mile distribution using a hybrid heuristic-multi-criteria decision-making framework
Usefulness of artificial neural networks for early warning system of economic crisis
M2VMapper: Malware-to-Vulnerability mapping for Android using text processing
Disruption-responsive berth allocation and quay crane scheduling with inter-terminal collaboration
An intuitionistic fuzzy weighted influence non-linear gauge system for equipment evaluation under system-of-systems warfare environment
An experimental comparison of classification techniques in debt recoveries scoring: Evidence from South Africa's unsecured lending market
Combining different local binary pattern variants to boost performance
Quantum-inspired gravitational search algorithm-based low-price binary task offloading for multi-users in unmanned aerial vehicle-assisted edge computing systems
Pansharpening of remote sensing images using dominant pixels
Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning
A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection
Intelligent rotational direction control of passive robotic joint with embedded sensors
Hybrid feature selection by combining filters and wrappers
A knowledge-based support vector synthesis of the transmission lines for use in microwave integrated circuits
Corporate reputation and market value: Evidence with generalized regression neural networks
Knowledge sharing in virtual communities: an e-business perspective
Supervised contrastive representation learning with tree-structured parzen estimator Bayesian optimization for imbalanced tabular data
A hybrid approach to building face shape classifier for hairstyle recommender system
Ants with three primary colors for track initiation
Hybridizing Particle Swarm Optimization with Signal-to-Noise Ratio for numerical optimization
Faulted gear identification of a rotating machinery based on wavelet transform and artificial neural network
Comment on "Support vector machine for classification based on fuzzy training data" by A.-B. Ji, J.-H. Pang, H.-J. Qiu [Expert Systems with Applications 37 (2010) 3495-3498]
A novel approach to generate distractors for Multiple Choice Questions
TSFF-Net: A novel lightweight network for video real-time detection of SF6 gas leaks
Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils
Agent-based flight planning system for enhancing the competitiveness of the air cargo industry
An integrated framework for effective safety management evaluation: Application of an improved grey clustering measurement
An adaptive neuro-fuzzy inference system model for predicting the performance of a refrigeration system with a cooling tower
Partially view-aligned clustering via data recoupling and elastic bi-consistency learning
An on-device gender prediction method for mobile users using representative wordsets
EA-OSPGB: Multiple robots dynamic online algorithm for solving full coverage path planning of multiple robots in unknown terrain environments
A large language model-enhanced argument extraction and clustering model for urban hotspot event detection using crowdsourced data
Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series
An efficient transfer fault diagnosis method integrating feature redundancy selection and multi-strategy parameter optimization
Classifying Periodic Astrophysical Phenomena from non-survey optimized variable-cadence observational data
DWFH: An improved data-driven deep weather forecasting hybrid model using Transductive Long Short Term Memory ( T -LSTM)
An online portfolio selection algorithm using clustering approaches and considering transaction costs
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals
Unraveling pine wilt disease: Comparative study of stochastic and deterministic model using spectral method
Hierarchical visual localization for visually impaired people using multimodal images
Including different kinds of preferences in a multi-objective ant algorithm for time and space assembly line balancing on different Nissan scenarios
Trip destination prediction based on past GPS log using a Hidden Markov Model
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
A fuzzy multi-objective approach for sustainable investments
Development of a decision support system for supplier evaluation and order allocation
A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting
Machine learning and soft computing applications in textile and clothing supply chain: Bibliometric and network analyses to delineate future research agenda
Adjacent initial states-based differential privacy for probabilistic labeled Petri nets
Determining manufacturing parameters to suppress system variance using linear and non-linear models
A novel equipment contribution evaluation framework for ESoS from a comprehensive perspective
Solving multiobjective problems using cat swarm optimization
Exploring visual representations of computer mouse movements for bot detection using deep learning approaches
Contrastive topic-enhanced network for video captioning
Modified Q-learning with distance metric and virtual target on path planning of mobile robot
Facial reshaping operator for controllable face beautification
Integrated AHP & TOPSIS methodology using intuitionistic Z-numbers: An application on hydrogen storage technology selection
Enhanced quantum long short-term memory neural network based multi-task learning for sentimental analysis and cyberbullying detection
A prediction model for the purchase probability of anonymous customers to support real time web marketing: a case study
Monitoring right censored Weibull distributed lifetime with weighted adaptive CUSUM charts based on dynamic probability limits
Data mining for adaptive learning sequence in English language instruction
Enhancing deep learning nuclear quadrupole resonance detection using transfer learning and autoencoders
Large-scale mapping in complex field scenarios using an autonomous car
Dual-tensor collaborative facilitation for multi-view clustering
Spatial-temporal graph convolution network model with traffic fundamental diagram information informed for network traffic flow prediction
MSIDiff:Multi-stage interaction-aware diffusion model for protein-specific 3D molecule generation
Effective memetic algorithm for multilabel feature selection using hybridization-based communication
Deriving web usage strategies for online sales: A decision framework and empirical exploration
A semi-automatic text-based semantic video annotation system for Turkish facilitating multilingual retrieval
An intelligent tutoring module controlled by BDI agents for an e-learning platform
An optimized Generative Adversarial Network based continuous sign language classification
Optimization of teacher volunteer transferring problems using greedy genetic algorithms
Maximum power point tracking (MPPT) system of small wind power generator using RBFNN approach
Tackling unsupervised multi-source domain adaptation with optimism and consistency
A simple and fast algorithm for K-medoids clustering
Improving interpretability of word embeddings by generating definition and usage
Efficient data stream clustering via elastic sparse representation and Bayesian dictionary learning
Consumer preference prediction by using a hybrid evidential reasoning and belief rule-based methodology
Disentangled-feature and composite-prior VAE on social recommendation for new users
A fuzzy AHP and DEA approach for making bank loan decisions for small and medium enterprises in Taiwan
CrowdDA: Difficulty-aware crowdsourcing task optimization for cleaning web tables
Adaptive hypergraph and weighted classifier guided spectral learning for multi-label classification
Learning-based image steganography and watermarking: A survey
A Q-learning and matheuristic MOEA/D for distributed flow shop group scheduling with reconfigurable machine tools
A comparative study on network alignment techniques
Genetic algorithm-based clustering approach for k-anonymization
ARQGAN: An evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples
Robust stability of uncertain fuzzy Cohen-Grossberg BAM neural networks with time-varying delays
Chaos-based support vector regression for load power forecasting of excavators
Nonlinear process monitoring based on decentralized generalized regression neural networks
Human semantic perception and recovery for occluded person re-identification
The use of conditional copula for studying the influence of economic sectors
SCOlog: A logic-based approach to analysing supply chain operation dynamics
An improved hybrid solar cell defect detection approach using Generative Adversarial Networks and weighted classification
Context-aware systems: A literature review and classification
Improved power quality in a single-phase PWM inverter voltage with bipolar notches through the hybrid genetic algorithms
A method of dense point cloud SLAM based on improved YOLOV8 and fused with ORB-SLAM3 to cope with dynamic environments
Exploiting semantic similarity for named entity disambiguation in knowledge graphs
Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal-hydraulic code
Corrigendum to "Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease" [Expert Systems with Applications 38 (2011) 9744-9751]
A unified solution in fuzzy capital budgeting
Classification cost: An empirical comparison among traditional classifier, Cost-Sensitive Classifier, and MetaCost
A parallel approach to accelerate neural network hyperparameter selection for energy forecasting
A hierarchical integration method under social constraints to maximize satisfaction in multiple criteria group decision making systems
Integrating case-based planning and RPTW neural networks to construct an intelligent environment for health care
Assessing machine learning classifiers for the detection of animals' behavior using depth-based tracking
Multiple objective solution approaches for aircraft rerouting under the disruption of multi-aircraft
A fuzzy DEA model with undesirable fuzzy outputs and its application to the banking sector in India
A framework for inventor collaboration recommendation system based on network approach
AGCN: Attention-based graph convolutional networks for drug-drug interaction extraction
An identification method of malignant and benign liver tumors from ultrasonography based on GLCM texture features and fuzzy SVM
Unsupervised and supervised learning to evaluate event relatedness based on content mining from social-media streams
Data complexity-based dynamic ensembling of SVMs in classification
A self-adjusting e-course generation process for personalized learning
Lagged correlation-based deep learning for directional trend change prediction in financial time series
Fraud detection in financial statements using data mining and GAN models
Towards modeling and runtime verification of self-organizing systems
Dynamic production system diagnosis and prognosis using model-based data-driven method
Semantic analysis of real-world images using support vector machine
Prediction of leather footwear export using learning algorithms based on ANN model
Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics
S&A - Expert system for planar mechanisms design
Combined medical quality assessment using the evidential reasoning approach
Eliciting experts' perceived risk of software offshore outsourcing incorporating individual heterogeneity
Optimal tunning of lead-lag and fuzzy logic power system stabilizers using particle swarm optimization
Interval symbolic feature extraction for thermography breast cancer detection
Heracles: A framework for developing and evaluating text mining algorithms
Batch-based active learning: Application to social media data for crisis management
Single channel surface EMG control of advanced prosthetic hands: A simple, low cost and efficient approach
Prediction of load-displacement curve of concrete reinforced by composite fibers (steel and polymeric) using artificial neural network
Efficient classification of multi-labeled text streams by clashing
A hybrid approach for personalized recommendation of news on the Web
Multiple partial discharge source discrimination with multiclass support vector machines
Deep CNN with late fusion for real time multimodal emotion recognition
Improvement of motor imagery electroencephalogram decoding by iterative weighted Sparse-Group Lasso
A study of an enhanced simulation model for TOC supply chain replenishment system under capacity constraint
Male or female: What traits characterize questions prompted by each gender in community question answering?
Using AI techniques to support advanced interaction capabilities in a virtual assistant for e-commerce
Fire and smoke detection from videos: A literature review under a novel taxonomy
Change detection of buildings in remote sensing images using a spatially and contextually aware Siamese network
Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model
A study on the selection of benchmarking paths in DEA
Morphological segmentation based on edge detection for sewer pipe defects on CCTV images
Open vehicle routing problem with demand uncertainty and its robust strategies
Semi-supervised regression trees with application to QSAR modelling
A bi-objective dynamic collaborative task assignment under uncertainty using modified MOEA/D with heuristic initialization
Evolutionary composition of QoS-aware web services: A many-objective perspective
Imbalanced complemented subspace representation with adaptive weight learning
Ms-VLPD: A multi-scale VLPD based method for pedestrian detection
PACL+: Online continual learning using proxy-anchor and contrastive loss with Gaussian replay for sensor-based human activity recognition
Application of least square support vector machines in the prediction of aeration performance of plunging overfall jets from weirs
An optimized Extreme Learning Machine by Evolutionary Computation for River Flow Prediction and Simulation of Water Pollution in Colorado River Basin, USA
Cluster analysis application for understanding SME manufacturing strategies
An expert system gap analysis and empirical triangulation of individual differences, interventions, and information technology applications in alertness of railroad workers
Application-specific clustering in wireless sensor networks using combined fuzzy firefly algorithm and random forest
A novel convex-hull-based algorithm for classification problems with imbalanced and overlapping data
A better estimate to the contribution rate of education on economic growth in China from 1999 to 2003
A possibilistic programming approach in an integrated fuzzy periodic review model and clustering strategy for optimizing platelet supply chain
Mapping brain development against neurological disorder using contrastive sharing
Hybrid differential evolution with biogeography-based optimization algorithm for solution of economic emission load dispatch problems
Artificial ecosystem optimization for optimizing of position and operational power of battery energy storage system on the distribution network considering distributed generations
A fuzzy genetic algorithm for the discovery of process parameter settings using knowledge representation
Improved technology scoring model for credit guarantee fund
Parallel efficient global optimization method: A novel approach for time-dependent reliability analysis and applications
Fast texture energy based image segmentation using Directional Walsh-Hadamard Transform and parametric active contour models
WALDATA: Wavelet transform based adversarial learning for the detection of anomalous trading activities
A novel end-to-end deep convolutional neural network based skin lesion classification framework
A hybrid case-GA-based decision support model for warehouse operation in fulfilling cross-border orders
Joint Opposite Selection (JOS): A premiere joint of selective leading opposition and dynamic opposite enhanced Harris' hawks optimization for solving single-objective problems
Detecting ongoing events using contextual word and sentence embeddings
Neuro-fuzzy model based on digital images for the monitoring of coffee bean color during roasting in a spouted bed
HCKNet: Hypergraph convolution and Kolmogorov-Arnold hybrid network for hyperspectral and LiDAR data classification
Representational primitives using trend based global features for time series classification
Explainable AI: XAI-guided context-aware data augmentation
Deep learning model for human-intuitive shoeprint reconstruction
Prediction and warning method for large passenger flow in metro transfer stations based on spatial and temporal characteristics of personnel trajectories
Global heterogeneous graph enhanced category-aware attention network for session-based recommendation
Integrating web mining and neural network for personalized e-commerce automatic service
Diversity-driven generation of link-based cluster ensemble and application to data classification
Beyond business failure prediction
Hybrid machine learning approach for parallel machine scheduling under uncertainty
Learning domain-invariant representation for generalizable iris segmentation
CrossWaveNet: A dual-channel network with deep cross-decomposition for Long-term Time Series Forecasting
A review of fuzzy AHP methods for decision-making with subjective judgements
Combining multi-sensor signal fusion with signal decomposition for data augmentation in circuit breaker state recognition
Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm
Ensemble clustering using extended fuzzy k-means for cancer data analysis
Conditioned adaptive barrier-based double integral super twisting SMC for trajectory tracking of a quadcopter and hardware in loop using IGWO algorithm
Evolutionary joint selection to improve human action recognition with RGB-D devices
Novel spherical fuzzy distance and similarity measures and their applications to medical diagnosis
Cooperative controllers for highways based on human experience
Information hiding in motion data of virtual characters
A multiple criteria decision for trading capacity between two semiconductor fabs
Classification of masses in mammographic image using wavelet domain features and polynomial classifier
Artificial Neural Network trained by Particle Swarm Optimization for non-linear channel equalization
Adaptive deep learning framework for robust unsupervised underwater image enhancement
3D Human Action Recognition: Through the eyes of researchers
Particle Swarm Algorithm variants for the Quadratic Assignment Problems - A probabilistic learning approach
Locating switches
A heuristic approach to output-only system identification under transient excitation
DHESN: A deep hierarchical echo state network approach for algal bloom prediction
TripMD: Driving patterns investigation via motif analysis
Link prediction in social networks and E-commerce: A comprehensive review and bibliometric analysis
Incremental semi-supervised Extreme Learning Machine for Mixed data stream classification
Enhancement of technical, economic & environmental benefits in multi-point PV & wind-based DG integrated radial distribution network using Aquila optimizer
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies
Application of multidimensional scaling for marketing-mix modification: A case study on mobile phone category
Multi-level contrastive learning with graph convolutional network for multi-view clustering
Investigate exact reliability under limited time and space of a multistate online food delivery network
Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks
BandCondiNet: Parallel transformers-based conditional popular music generation with multi-view features
Fuzzy adaptive power optimization control of wind turbine with improved whale optimization algorithm and kernel extreme learning machine
Evolutionary attribute ordering in Bayesian networks for predicting the metabolic syndrome
Detecting incongruent news headlines with auxiliary textual information
Landslide susceptibility assessment using locally weighted learning integrated with machine learning algorithms
FGFIREM: A feature generation framework based on information retrieval evaluation measures
A multidisciplinary implementation methodology for knowledge based engineering: KNOMAD
A dynamic combination algorithm based scenario construction theory for mine water-inrush accident multi-objective optimization
Evaluating the performance of ensemble classifiers in stock returns prediction using effective features
An improved genetic algorithm based approach to solve constrained knapsack problem in fuzzy environment
A modular design of Bayesian networks using expert knowledge: Context-aware home service robot
Contractor management performance evaluation model at prequalification stage
Learning-based CU partition prediction for fast panoramic video intra coding
Mix-opt: A new route operator for optimal coverage path planning for a fleet in an agricultural environment
A three-stage integrated approach for assembly sequence planning using neural networks
Human decision making through an entropic framework
Searching for people to follow in social networks
Petri net-based engine for adaptive learning
EEG signal classification using PCA, ICA, LDA and support vector machines
Knowledge-enhanced prototypical network with graph structure and semantic information interaction for low-shot joint spoken language understanding
Enhancing liver cancer detection: an innovative deep learning approach combining GAN, ResNet, and vision transformer
Ontology-based data mining approach implemented for sport marketing
Predicting information systems outsourcing success using a hierarchical design of case-based reasoning
Multi-Objective optimization of material properties for enhanced battery performance using artificial Intelligence
Enhancement of Mahalanobis-Taguchi System via Rough Sets based Feature Selection
The effects of fuzzy control of magnetic flux on magnetic filter performance and energy consumption
Transit network design by Bee Colony Optimization
Capturing local and global information: Multi-view graph convolutional network via granular-ball computing and collaborative matrix
Ground abstract structure concepts of scaffolding systems for automatic compliance checking based on reasoning segmentation
Efficient GPU implementation of randomized SVD and its applications
A fractional-order JAYA algorithm with memory effect for solving global optimization problem
A fuzzy clustering iterative model using chaotic differential evolution algorithm for evaluating flood disaster
Improving retrievability with improved cluster-based pseudo-relevance feedback selection
Predicting protein second structure using a novel hybrid method
Language model-guided student performance prediction with multimodal auxiliary information
LLM-guided fuzzy kinematic modeling for resolving kinematic uncertainties and linguistic ambiguities in text-to-motion generation
Learning multi-prototype word embedding from single-prototype word embedding with integrated knowledge
A generic construct based workload model for business intelligence benchmark
Multimodal representation learning over heterogeneous networks for tag-based music retrieval
Implementation of a neuro-fuzzy network with on-chip learning and its applications