yusuke1997/dblp-id-title huggingface dataset:
Planning the route of container ships: A fuzzy genetic approach
Explaining to defend: SHAP-based defense mechanism against adversarial attacks in P2P credit risk
End-to-end comparative opinion quintuple extraction as bipartite set prediction with dynamic structure pruning
MoRVAM: A reverse Vickrey auction system for mobile commerce
A new metaheuristic based on vapor-liquid equilibrium for solving a new patient bed assignment problem
Self-supervised deep-learning for efficient denoising of terahertz images measured with THz-TDS system
Application of particle swarm intelligence algorithms in supply chain network architecture optimization
Multi-scale Gaussian feature enhancement and prototype graph convolutional network for domain-generalized rolling bearing fault diagnosis
Effects of MRI scanner parameters on breast cancer radiomics
DPT: An importance-based decision probability transformation method for uncertain belief in evidence theory
An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm
Revisiting the distribution differences between color and texture information: Quaternion-driven color medical image segmentation method
A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm
Copyright authentication for images with a full counter-propagation neural network
Single and multiple drones detection and identification using RF based deep learning algorithm
Meta-rules and uncertain reasoning for diagnosis of epilepsy in childhood
DSA mamba: A model for advanced medical image classification
M 3 DNet: A manifold-based discriminant feature learning network for hyperspectral imagery
Optimized spiral spherical self-organizing map approach to sector analysis - The case of banking
Multiple Contrastive Experts for long-tailed image classification
Markowitz-based portfolio selection with cardinality constraints using improved particle swarm optimization
Vertical federated learning-based feature selection with non-overlapping sample utilization
CLELIA: a multi-agent system for publishing printed and electronic media
Geometric one-class classifiers using hyper-rectangles for knowledge extraction
Difference-of-Gaussian generative adversarial network for segmenting breast arterial calcifications in mammograms
Artificial electric field algorithm for engineering optimization problems
Automatic children's personality assessment from emotional speech
Discrete-time adaptive neural network control for steer-by-wire systems with disturbance observer
Soil moisture retrieval and trend prediction using multi-temporal remote sensing data: An interpretable deep regression approach
Multi-objective periodic cash transportation problem with path dissimilarity and arrival time variation
Unsupervised analysis of top-k core members in poly-relational networks
Explanations and a new objective function of the minimum error thresholding based on the Rayleigh distribution
Customized crowds and active learning to improve classification
Linear independence of the blending functions of T-splines without multiple knots
STIA-DJANet: Spatial-Temporal Intention-Aware vessel trajectory prediction based on Dual-Joint Attention Network for e-navigation
Predefined-time control design for tracking chaotic trajectories around a contour with an UAV
The hybrid of association rule algorithms and genetic algorithms for tree induction: an example of predicting the student course performance
Intelligent fault inference for rotating flexible rotors using Bayesian belief network
Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques
Artificial intelligence based object detection and traffic prediction by autonomous vehicles - A review
A conceptual design decision approach by integrating rough Bayesian network and game theory under uncertain behavior selections
Correlation-assisted spatio-temporal reinforcement learning for stock revenue maximization
Layerwise-priority-based gradient adjustment for few-shot learning
Automatic driver sleepiness detection using EEG, EOG and contextual information
A survey of shipping line Container Stowage Planning problems
A domain knowledge powered hybrid regularization strategy for semi-supervised breast cancer diagnosis
Deep learning in material recovery: Development of method to create training database
A two-level reinforcement learning based regulation strategy for dynamic operation of O2O service ecosystems
Partial discharge pattern classification using composite versions of probabilistic neural network inference engine
DLL-GAN: Degradation-level-based learnable adversarial loss for image enhancement
Adaboost-based SVDD for anomaly detection with dictionary learning
Discovering cohesive subgroups from social networks for targeted advertising
Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam
Green vehicle routing problem with queues
Unified pipeline for generalized mental state detection using EEG signals
A self-organizing incremental neural network for continual supervised learning
Evaluating record history of medical devices using association discovery and clustering techniques
Multiple bin-size bin packing problem considering incompatible product categories
Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts
Machine-agnostic automated lumbar MRI segmentation using a cascaded model based on generative neurons
A case study on classification of features by fast single-shot multiclass PSVM using Morlet wavelet for fault diagnosis of spur bevel gear box
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis
Two unsupervised learning algorithms for detecting abnormal inactivity within a household based on smart meter data
Hierarchical clustering of time series data with parametric derivative dynamic time warping
Blended metrics for novel sentence mining
A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data
Developing a new fuzzy model to predict burden from rock geomechanical properties
A system dynamics approach for enhancing social behaviours regarding the reuse of packaging
Integrated multivariate segmentation tree for heterogeneous credit data analysis in small- and medium-sized enterprises
Modified γ-operator technique for intuitionistic fuzzy multi-objective nonlinear programming problems with application in agriculture
YOLO-FD: An accurate fish disease detection method based on multi-task learning
A review on image-based approaches for breast cancer detection, segmentation, and classification
Parameter identification of chaotic systems by hybrid Nelder-Mead simplex search and differential evolution algorithm
Lung nodule classification using artificial crawlers, directional texture and support vector machine
Protecting research and technology from espionage
Use of adaptive network fuzzy inference system to predict plasma charging damage on electrical MOSFET properties
A multi-input multi-label claims channeling system using insurance-based language models
Convolutional neural network improvement for breast cancer classification
Special knowledge sharing incentive mechanism for two clients with complementary knowledge: A principal-agent perspective
A slope stability classification model based on the matrix energy of neutrosophic confidence cubic sets for multi-point sampling data of slopes
Short-term wind power prediction method based on multivariate signal decomposition and RIME optimization algorithm
Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model
Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences
An integrated linguistic-based group decision-making approach for quality function deployment
Soft target and functional complexity reduction: A hybrid regularization method for genetic programming
MMKDGAT: Multi-modal Knowledge graph-aware Deep Graph Attention Network for remote sensing image recommendation
APMoE-Net: Fourier amplitude-phase joint enhancement and MoE compensation for low-light image enhancement
Pseudo-Utterance-Guided Contrastive Network for Emotion Forecasting in Conversations
The adaptable Pareto set problem for facility location: A video game approach
A survey on multimodal bidirectional machine learning translation of image and natural language processing
A comprehensive benchmark dataset for SSVEP-based hybrid BCI
Artificial Intelligence application to Malaysian electrical powersystem
FAIREDU: A multiple regression-based method for enhancing fairness in machine learning models for educational applications
A comparison of multi-resolution methods for detection and isolation of pavement distress
Visualization method for customer targeting using customer map
Bayesian and behavior networks for context-adaptive user interface in a ubiquitous home environment
PASE: An autonomous sequential framework for the state estimation of dynamical systems
Application of AI techniques for locating mobile terminals in mobile wireless cellular networks: A novel paging scheme
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection
Multivariate integration of time series with ML for corn price forecasting in Colombia
Retraction notice to "Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems" [Expert Systems with Applications 36 (2009) 8302-8312]
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks
Thinned-ECOC ensemble based on sequential code shrinking
A hybrid framework to extract bilingual multiword expression from free text
Intelligent fault diagnosis of rotating machine via Expansive dual-attention fusion Transformer enhanced by semi-supervised learning
A bi-objective data-driven chance-constrained optimization for sustainable urban medical waste management
Mining high coherent association rules with consideration of support measure
Parallelizing evolutionary computation: A mobile agent-based approach
Adaptive Dual-path Spatial-Frequency Network for medical microstructure segmentation
Predicting box-office success of motion pictures with neural networks
Online fuzzy modeling with structure and parameter learning
Knowledge-enhanced heterogeneous graph attention networks for privacy co-disclosure detection in online social network
Fusion of classifiers for illumination robust face recognition
PDLK: Plagiarism detection using linguistic knowledge
Learning adversarially robust kernel ensembles with kernel average pooling
Online human assisted and cooperative pose estimation of 2D cameras
A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export
Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms
Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey
Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring
An intelligent framework for prediction and forecasting of dissolved oxygen level and biofloc amount in a shrimp culture system using machine learning techniques
Automated and reliable detection of multi-diseases on chest X-ray images using optimized ensemble transfer learning
Learning neural implicit surfaces from sonar image based on signed distance functions combined with occupancy representation
Behaviour analysis of inter-app communication using a lightweight monitoring app for malware detection
Texture analysis by multi-resolution fractal descriptors
Detecting underwater salient objects via self-supervised depth priors and task-driven optimization
Discrete symbiotic organisms search method for solving large-scale time-cost trade-off problem in construction scheduling
Intelligent physician segmentation and management based on KDD approach
A comparison of clustering algorithms for automatic modulation classification
Erratum to "Palm vein recognition using adaptive Gabor filter" [Expert Syst. Appl. 39(18) (2012) 13225-13234]
A model-driven approach for facilitating user-friendly design of complex event patterns
Toward an assisted indoor scene perception for blind people with image multilabeling strategies
A compatible detector based on improved YOLOv5 for hydropower device detection in AR inspection system
A game-predicting expert system using big data and machine learning
HIN2Grid: A disentangled CNN-based framework for heterogeneous network learning
Robust Multi-Object Tracking with pseudo-information guided motion and enhanced semantic vision
Data-efficient creativity evaluation in museum cultural creative products: a machine learning framework for data-driven decision-making in product development
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems
Imbalanced learning for wind turbine blade icing detection via spatio-temporal attention model with a self-adaptive weight loss function
Popularity-aware sequential recommendation with user desire
Hybrid feature selection using component co-occurrence based feature relevance measurement
Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals
Adaptive genetic algorithm for two-stage hybrid flow-shop scheduling with sequence-independent setup time and no-interruption requirement
A novel scheme integrating graph-based analysis and opposition-based learning for S-box optimization by population-based metaheuristics
ResNet-Swin Transformer based intrusion detection system for in-vehicle network
An efficient multi-objective gorilla troops optimizer for minimizing energy consumption of large-scale wireless sensor networks
A hierarchical goal programming model for scheduling the outpatient clinics
Electromechanical equipment state forecasting based on genetic algorithm - support vector regression
Implementing soft computing techniques to solve economic dispatch problem in power systems
Reactive, proactive, and extensible situation-awareness in ambient assisted living
TSCG: Efficient grouped channel interaction for multivariate time series forecasting
Exploiting two-faceted web of trust for enhanced-quality recommendations
NMF-based approach to automatic term extraction
Attributed graph subspace clustering with residual compensation guided by adaptive dual manifold regularization
A+ Evolutionary search algorithm and QR decomposition based rotation invariant crossover operator
MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines
Visual saliency detection by integrating spatial position prior of object with background cues
Detection of fusarium head blight in wheat using hyperspectral data and deep learning
Design and development of a DDDAMS-based border surveillance system via UVs and hybrid simulations
ROCO: Role-oriented communication for efficient multi-agent reinforcement learning
Citation counts prediction of statistical publications based on multi-layer academic networks via neural network model
STFF-IFD: A novel multi-channel intelligent fault diagnosis based on data-driven spatio-temporal feature fusion
UbiSrvInt - a context-aware fault-tolerant approach toward wireless P2P service provision
Using non-monotonic reasoning to manage uncertainty in railway asset diagnostics
Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on the slopes of fuzzy sets
Efficient sanitization of informative association rules
Maximizing mutual information across knowledge graphs for robust entity alignment
Modeling the compressive strength of geopolymeric binders by gene expression programming-GEP
TADGCN: A Time-Aware Dynamic Graph Convolution Network for long-term traffic flow prediction
Lane-changes prediction based on adaptive fuzzy neural network
Development of a new technology product evaluation model for assessing commercialization opportunities using Delphi method and fuzzy AHP approach
An improved K-nearest-neighbor algorithm for text categorization
Efficient algorithms for discovering high-utility patterns with strong frequency affinities
A novel cloud information agent system with Web service techniques: Example of an energy-saving multi-agent system
Sparse Gaussian process for online seagrass semantic mapping
Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system
NAS-Adapter: Adapting segmentation anything model with neural architecture search for medical image segmentation
Efficient top-k s-biplexes search over large bipartite graphs with time complexity guarantees
Dictionary learning for VQ feature extraction in ECG beats classification
Maximum A Posteriori Linear Regression for language recognition
Solving energy-efficient lock group co-scheduling problem with ship lift and approach channel using a collaborative adaptive multi-objective algorithm
A possibilistic solution to configure a battery closed-loop supply chain: Multi-objective approach
Evolution of online public opinions on major accidents: Implications for post-accident response based on social media network
Many-objectives multilevel thresholding image segmentation using Knee Evolutionary Algorithm
Intervention strategies for improving business process outcomes: A causal rule mining approach
R-Net: Recursive decoder with edge refinement network for salient object detection
Path planning techniques for mobile robots: Review and prospect
The usability of Cerchar abrasivity index for the prediction of UCS and E of Misis Fault Breccia: Regression and artificial neural networks analysis
Diagnosis using a first-order stochastic language that learns
A novel pruning algorithm for mining long and maximum length frequent itemsets
Bi-level programming model and KKT penalty function solution approach for reliable hub location problem
Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces
Project resources scheduling and leveling using Multi-Attribute Decision Models: Models implementation and case study
Secure communication for electronic business applications in mobile agent networks
Improved literature recommendation system through the fusion mode of conformity bias elimination and keyword preference
Automatic detection of Feature Envy and Data Class code smells using machine learning
Versatile latent distribution-preserving tabular data synthesis-based endovascular treatment selection for intracranial aneurysm
An ontology-based business intelligence application in a financial knowledge management system
A newly-constructed training dataset and an extremely-simplified network for copy-move forgery detection
Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model
A knowledge-based decision support system for measuring the performance of government real estate investment
Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach
Combining fuzzy sammon mapping and fuzzy clustering approach to perform clustering effect analysis: Take the banking service satisfaction as an example
EMD-based model with cooperative training mechanism for tourism demand forecasting
Designing customer-oriented catalogs in e-CRM using an effective self-adaptive genetic algorithm
Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction
Classification of non-alcoholic beer based on aftertaste sensory evaluation by chemometric tools
Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL
Boosting social collaborations based on contextual synchronization: An empirical study
Word-sentence co-ranking for automatic extractive text summarization
Adaptive evolutionary jellyfish search algorithm based optimal photovoltaic array reconfiguration under partial shading condition for maximum power extraction
Advanced AI-based techniques to predict daily energy consumption: A case study
Using Google latent semantic distance to extract the most relevant information
Cross-lingual transfer learning for knowledge graph acquisition: Paradigms, resources and challenges
Conversion paths of online consumers: A sequential pattern mining approach
A new approach for competency frameworks mapping using large language models
Comparative analysis of multi-criteria decision making methods for prioritizing influential factors of ChatGPT adoption in higher education
A new document representation using term frequency and vectorized graph connectionists with application to document retrieval
MGRNN for dynamic constrained quadratic programming with verification and applications
Self-learning interval type-2 hierarchical fuzzy system based on rule relevance with online regression prediction application
HEL-MCNN: Hybrid extreme learning modified convolutional neural network for allocating suitable donors for patients with minimized waiting time
A dynamic emergency planning system for relocating vulnerable people to safe shelters in response to heat waves
Validating viral marketing strategies in Twitter via agent-based social simulation
Application of Bayesian networks in prognostics for a new Integrated Vehicle Health Management concept
A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce
Artificial Intelligence risk measurement
Distance difference and linear programming nonparallel plane classifier
High performance iris recognition based on 1-D circular feature extraction and PSO-PNN classifier
An adaptive collaboration evaluation model and its algorithm oriented to multi-domain location-based services
Transductive Multi-Instance Multi-Label learning algorithm with application to automatic image annotation
Induced aggregation operators in the Euclidean distance and its application in financial decision making
Velocity Bounded Boolean Particle Swarm Optimization for improved feature selection in liver and kidney disease diagnosis
Dual regularized spatial-temporal features adaptation for multi-source selected cross-subject motor imagery EEG classification
Density peaks clustering based on Gaussian fuzzy neighborhood with noise parameter
Intelligent adaptive control for MIMO uncertain nonlinear systems
GEP-based classifier for mining imbalanced data
Fusing spatial and frequency features for compositional zero-shot image classification
Era splitting - Invariant learning for decision trees
Detection of algorithmically generated malicious domain names using masked N-grams
Learning multi-scale features for speech emotion recognition with connection attention mechanism
Designing an expert system to support aviation occurrence investigations
On learning guarantees to unsupervised concept drift detection on data streams
Hierarchical and lateral multiple timescales gated recurrent units with pre-trained encoder for long text classification
Cross-efficiency evaluation method for non-homogeneous parallel network systems with imprecise data
Mutual Boost Network for attributed graph clustering
LEISN: A long explicit-implicit spatio-temporal network for traffic flow forecasting
Data mining investigation of co-movements on the Taiwan and China stock markets for future investment portfolio
STEP: An ontology-based smart clinical document template editing and production system
GraphIC: A graph-based approach for identifying complaints from code-mixed product reviews
An interactive robust data envelopment analysis model for determining alternative targets in Iranian electricity distribution companies
A hybrid model for plastic card fraud detection systems
Automatic feature-queried bird identification system based on entropy and fuzzy similarity
Limited data-driven router bandwidth configuration for cyber physical internet
A maturity model based CoP evaluation framework: A case study of strategic CoPs in a Korean company
Dynamic fitness-distance balance-based artificial rabbits optimization algorithm to solve optimal power flow problem
Using GPT-4 to guide causal machine learning