yusuke1997/dblp-id-title huggingface dataset:
Weighted Bag of Visual Words with enhanced deep features for melanoma detection
Routing policy of stochastic-flow networks under time threshold and budget constraint
A new emotional intelligent adaptive system for controlling the proposed sensor-less induction motor drive with dual stator winding based on a ten-switch converter in low speed range
Using context to improve the effectiveness of segmentation and targeting in e-commerce
Evolving neural network using real coded genetic algorithm for permeability estimation of the reservoir
LK-Road3R: Road point cloud mapping via UAV-based video and deep learning
Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics
Ensuring secure conversational commerce: Anomaly detection in chatbot interactions
Tri-STANet: An advanced framework integrating dual axis transformer and morphological encoding for enhanced AS detection
Quantifying expressive power in knowledge graph embeddings: An entropy-based metric framework
Integrated feasible direction method and genetic algorithm for optimal planning of harmonic filters with uncertainty conditions
Mitigating moral hazard in financial leasing: The role of open banking
Enhanced fuzzy clustering algorithm and cluster validity index for human perception
Decision tree classification of land use land cover for Delhi, India using IRS-P6 AWiFS data
An application of fuzzy methods to evaluate a patent under the chance of litigation
A fuzzy group-preferences analysis method for new-product development
Fake news detection based on explicit and implicit signals of a hybrid crowd: An approach inspired in meta-learning
Consistency of total fuzzy relations: New algorithms to detect and repair inconsistent judgments
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
Location routing problem with interdependent mobile depot operations for post-disaster relief
Constructing the virtual Jing-Hang Grand Canal with onto-draw
A novel adaptive optimization framework for SVM hyper-parameters tuning in non-stationary environment: A case study on intrusion detection system
Artificial neural network and ANFIS approaches for mechanical properties prediction and optimization of a turbine blade treated by laser shock peening
A robust method for partial deformed fingerprints verification using genetic algorithm
Bridging spherical mixture distributions and word semantic knowledge for Neural Topic Modeling
Joint optimization of maintenance and spare parts provisioning policies for multi-state protection systems considering mission failures
A hybrid steady-state evolutionary algorithm using random swaps for Gaussian model-based clustering
Multi-sector discrete-time channel model for data link layer evaluation of CubeSat communications
Continual learning in inertial measurement unit-based human activity recognition with user-centric class-incremental learning scenario
A prediction interval-based approach to determine optimal structures of neural network metamodels
Diffusion-based adversarial attack method against person re-identification
An integrated constrained fuzzy stochastic analytic hierarchy process method with application to the choice problem
TransPhrase: A new method for generating phrase embedding from word embedding in Chinese
Optimal path finding in stochastic quasi-dynamic environments using particle swarm optimization
The TUBE algorithm: Discovering trends in time series for the early detection of fuel leaks from underground storage tanks
Direction-aware attention aggregation for single-stage hazy-weather crowd counting
Enhancing video-based human mesh recovery with Attention-Mamba synergy
Flexible evaluation of electrotherapy treatments for learning purposes
Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness
Enhancing local citation recommendation with recurrent highway networks and SciBERT-based embedding
Integrating discretization and association rule-based classification for Alzheimer's disease diagnosis
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning
Minimum sample size determination of vibration signals in machine learning approach to fault diagnosis using power analysis
Multivariate and hybrid data-driven models to predict thermoelectric power plants fuel consumption
A fuzzy real option approach for investment project valuation
Temporal dependence and bank efficiency drivers in OECD: A stochastic DEA-ratio approach based on generalized auto-regressive moving averages
A novel character segmentation-reconstruction approach for license plate recognition
Spatial Bias for attention-free non-local neural networks
An intelligent insect search system based on observation of the insect's structure
Travel itinerary recommendation using interaction-based augmented data
Forecasting container throughputs at ports using genetic programming
NASSFG: Neural architecture search with saliency feature guidance for medical image object detection
Data mining to improve industrial standards and enhance production and marketing: An empirical study in apparel industry
A survey of the fusion of traditional data security technology and blockchain
DUCD: Deep Unfolding Convolutional-Dictionary network for pansharpening remote sensing image
Hybrid intelligent system for cardiac arrhythmia classification with Fuzzy K-Nearest Neighbors and neural networks combined with a fuzzy system
Partition-conditional ICA for Bayesian classification of microarray data
FBSM: Foveabox-based boundary-aware segmentation method for green apples in natural orchards
Deep hybrid collaborative filtering for Web service recommendation
Probabilistic modeling approach for interpretable inference and prediction with data for sepsis diagnosis
Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data
Convolutional neural network-based spatiotemporal prediction for deformation behavior of arch dams
DEBOHID: A differential evolution based oversampling approach for highly imbalanced datasets
Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm
An entropy empowered hybridized aggregation technique for group recommender systems
Free-form contour packing based on material grid approximation and lowest-gravity-center methods
Mining frequent itemsets in large databases: The hierarchical partitioning approach
A new encoding technique for peptide classification
Deep learning radiomics in breast cancer with different modalities: Overview and future
The extension of fuzzy QFD: From product planning to part deployment
Introducing attentive neural networks into unconventional oil and gas violation analysis and emergency response system
Predicting stock market index using fusion of machine learning techniques
Genetic programming-based learning of texture classification descriptors from Local Edge Signature
MPSA: Multi-Position Supervised Soft Attention-based convolutional neural network for histopathological image classification
What are your privacy risks? Privacy risk assessment based on privacy policies analysis
Volatility index prediction based on a hybrid deep learning system with multi-objective optimization and mode decomposition
A fuzzy expert system for business management
Predicting stock price using fuzzy grey prediction system
Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system
HLOB-Information persistence and structure in limit order books
Machinability of different Cu-Gr composites in milling: Performance parameters prediction via machine learning models
Introducing a decision tree-based indoor positioning technique
QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams
Minimizing activity exposures in project scheduling under uncertainty
A high-dimensional respiratory motion modeling method based on machine learning
Bankruptcy forecasting using case-based reasoning: The CRePERIE approach
Does user interest matter? Exploring the impact of ignoring user interests in recommendations
Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images
Customer data mining for lifestyle segmentation
Automatic labelling framework for optical remote sensing object detection samples in a wide area using deep learning
Enhancing blind video quality assessment with rich quality-aware features
AutoAssociative Pyramidal Neural Network for one class pattern classification with implicit feature extraction
A feature fusion sequence learning approach for quantitative analysis of tremor symptoms based on digital handwriting
A review of recent approaches on wrapper feature selection for intrusion detection
Empirical mode decomposition and adaptive bilateral filter approach for impulse noise removal
Trajectory-based vehicle tracking at low frame rates
Effectiveness of optimal incremental multi-step nearest neighbor search
Kernel based tabu search for the Set-union Knapsack Problem
Collision-free active sensing for maximum seeking of unknown environment fields with Gaussian processes
Diverse feature generation for zero-shot Chinese character recognition
MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm
Concept-driven representation learning model for knowledge graph completion
Hybrid morphological methodology for software development cost estimation
A projection module based on the shape space theory for small-sample image processing
The improvement of glowworm swarm optimization for continuous optimization problems
Aggregating multiple classification results using Choquet integral for financial distress early warning
Characteristic analysis and model predictive-improved active disturbance rejection control of direct-drive electro-hydrostatic actuators
Global exponential stability of delayed reaction-diffusion neural networks with time-varying coefficients
A new comprehensive monitoring and diagnostic approach for early detection of mechanical degradation in helicopter transmission systems
Emergency alternative evaluation under group decision makers: A method of incorporating DS/AHP with extended TOPSIS
A Hermite-inspired deterministic augmentation of autoregressive-moving-average and generalized autoregressive conditional heteroskedasticity models for enhanced signal generation in volatile financial markets
Type-2 Fuzzy membership function design method through a piecewise-linear approach
A two-stage clustering ensemble algorithm applicable to risk assessment of railway signaling faults
A hybrid SARIMA and support vector machines in forecasting the production values of the machinery industry in Taiwan
Fuzzy type-II De-Novo programming for resource allocation and target setting in network data envelopment analysis: A natural gas supply chain
Leveraging event-based semantics for automated text simplification
Genetic algorithms for credit scoring: Alternative fitness function performance comparison
Recognizing pawing behavior of prepartum doe using semantic segmentation and motion history image (MHI) features
X-GAD: Explainable graph-level anomaly detection via inter-graph anomalies
ICE: Information coverage estimate for automatic evaluation abstractive summaries
Randomly Wired Graph Neural Network for Chinese NER
NeuroSym-CoopNet: a multi-agent collaborative model incorporating cognitive coordination and neural-symbolic reasoning
Additive consistency analysis and improvement for hesitant fuzzy preference relations
Neural network MPC for heating section of annealing furnace
Similarity of feature selection methods: An empirical study across data intensive classification tasks
Intelligent road-safety warning system based on virtual infrastructures
Different Zhang functions leading to different ZNN models illustrated via time-varying matrix square roots finding
GAMLSS and neural networks in combat simulation metamodelling: A case study
Two sided disassembly line balancing problem with rest time of works: A constraint programming model and an improved NSGA II algorithm
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
Case-based reasoning for identifying knowledge leader within online community
An iterated greedy algorithm for the parallel blocking flow shop scheduling problem and sequence-dependent setup times
LPUWF-LDM: Enhanced latent diffusion model for precise late-phase UWF-FA generation on limited dataset
Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers
A new approach to MADM problems with belief distributions based on weighted similarity measure and regret theory
A case study of muscle dysmorphia disorder diagnostics
Learning-based trajectory planning for AGVs in dynamic environment
A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models
Decision tree based light weight intrusion detection using a wrapper approach
Modeling uncertain data using Monte Carlo integration method for clustering
Relative discrimination criterion - A novel feature ranking method for text data
Towards filtering undesired short text messages using an online learning approach with semantic indexing
Speech recognition using a wavelet packet adaptive network based fuzzy inference system
Stream water temperature prediction based on Gaussian process regression
Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network
Assuring safety in air traffic control systems with argumentation and model checking
Adaptive consensus support model for group decision making systems
A tie strength based model to socially-enhance applications and its enabling implementation: mySocialSphere
Unveiling consumer preferences: A two-stage deep learning approach to enhance accuracy in multi-channel retail sales forecasting
CFFM: Multi-task lane object detection method based on cross-layer feature fusion
Triplet loss based metric learning for closed loop detection in VSLAM system
Applying an adaptive tabu search algorithm to optimize truck-dock assignment in the crossdock management system
Data-driven process adjustment policies for quality improvement
Extracting section structure from resumes in Brazilian Portuguese
Structural equation model for EDI controls: Controls design perspective
Time series-to-image encoding for saturation line prediction using channel and spatial-wise attention network
Social knowledge-based recommender system. Application to the movies domain
Quad-RRT: A real-time GPU-based global path planner in large-scale real environments
Evolutionary learning algorithm for reliable facility location under disruption
Dynamic classifier ensemble model for customer classification with imbalanced class distribution
Short-term Maharashtra state electrical power load prediction with special emphasis on seasonal changes using a novel focused time lagged recurrent neural network based on time delay neural network model
ICKA: An instruction construction and Knowledge Alignment framework for Multimodal Named Entity Recognition
Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean
Web mining for event-based commonsense knowledge using lexico-syntactic pattern matching and semantic role labeling
Supply chain network design using an integrated neuro-fuzzy and MILP approach: A comparative design study
The effects of information technology on knowledge management systems
The comparisons of random survival forests and Cox regression analysis with simulation and an application related to breast cancer
DASA: Dissatisfaction-oriented Advertising based on Sentiment Analysis
Deep learning techniques for DDoS attack detection: Concepts, analyses, challenges, and future directions
Multi-source feature contrast learning network for weakly-supervised semantic segmentation
Prioritization of digital capital measures in recruiting website for the national armed forces
A new nearest neighbor-based framework for diabetes detection
Semantic maps from multiple visual cues
A review on video-based active and assisted living technologies for automated lifelogging
Fighting fire with fire: The impact of radical automotive facelift decision on sales
A unified benchmark for the unknown detection capability of deep neural networks
Analyzing foreign exchange rates by rough set theory and directed acyclic graph support vector machines
Adaptive shape imitation and selective semantic guidance for industrial surface defect detection
Automatic recognition of sleep spindles in EEG by using artificial neural networks
Complete hierarchical multi-objective genetic algorithm for transit network design problem
Signal processing analysis for detection of anomalies in numerical series
Forecasting financial condition of Chinese listed companies based on support vector machine
A computationally efficient and refined signal control method for isolated intersections in a connected vehicle environment
ADNNet: Attention-based deep neural network for Air Quality Index prediction
Toward intelligent data warehouse mining: An ontology-integrated approach for multi-dimensional association mining
Achieving online learning with long-term fairness awareness in dynamic environments
ABE-Mamba: Few-shot medical image segmentation via adversarial bidirectional enhanced Mamba
High utility itemset mining with techniques for reducing overestimated utilities and pruning candidates
Dendroid: A text mining approach to analyzing and classifying code structures in Android malware families
Enhancing streamflow forecasting using an LSTM hybrid model with lightweight frequency-domain feature learning
A concrete extension principle for fuzzy set theory
An effective way to integrate ε-support vector regression with gradients
A neuro-fuzzy decoupling approach for real-time drying room control in meat manufacturing
Dynamic self-triggered adaptive neural PI control for underactuated MASS with predefined performance
Personalizing the Top-k Spatial Keyword Preference Query with textual classifiers
Robust microgrid energy trading and scheduling under budgeted uncertainty
A coordination framework for multi-agent persuasion and adviser systems
Exponential stability of stochastic reaction-diffusion uncertain fuzzy neural networks with mixed delays and Markovian jumping parameters
An effective parallel approach for genetic-fuzzy data mining
OPSBC: A method to sort Pareto-optimal sets of solutions in multi-objective problems
Finding research trend of convergence technology based on Korean R&D network
A multi-objective co-evolutionary algorithm for energy and cost-oriented mixed-model assembly line balancing with multi-skilled workers
Proximity-based k-partitions clustering with ranking for document categorization and analysis
MLoRA+: Transformer-fusion mixture-of-LoRA network for multi-domain click-through rate prediction
Face image manipulation detection based on a convolutional neural network
Optimization control of spacecraft proximation based on r-domination adaptive bare-bones particle swarm optimization algorithm
A fuzzy logic application for selecting layered manufacturing techniques
TOCNet: A target occlusion contrast network for license plate detection in waterways
Reliable multi-modal prototypical contrastive learning for difficult airway assessment
Export- and import-based economic models for predicting global trade using deep learning
Knowledge model reuse: therapy decision through specialisation of a generic decision model
Two-echelon multi-commodity multimodal vehicle routing problem considering user heterogeneity in city logistics
A multi-objective PSO for job-shop scheduling problems
Smart fuzzy control of reinforced concrete structures excited by collision-type forces
Saturated-threshold event-triggered adaptive global prescribed performance control for nonlinear Markov jumping systems and application to a chemical reactor model
A simulation optimization method for vehicles dispatching among multiple container terminals
A new intelligent SOFM-based sampling plan for advanced process control
Convolutional relation network for facial expression recognition in the wild with few-shot learning
An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data
Nonwoven uniformity identification using wavelet texture analysis and LVQ neural network
Gray relation analysis and multilayer functional link network sales forecasting model for perishable food in convenience store
Large Language Models for chatbot applications handling sensitive information
Multi-scene image enhancement based on multi-channel illumination estimation
A novel deep reinforcement learning framework based on digital twins for dynamic job shop scheduling problems
COVID-19 medical waste transportation risk evaluation integrating type-2 fuzzy total interpretive structural modeling and Bayesian network
Creating investment scheme with state space modeling
Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
Improved generalizability of CNN based lane detection in challenging weather using adaptive preprocessing parameter tuning
Locally edge-adapted distance for image interpolation based on genetic fuzzy system
Formalisation method for the text expressed knowledge
A parallel and serial denoising network
Comparisons of machine learning techniques for detecting malicious webpages
FusionDiff: Multi-focus image fusion using denoising diffusion probabilistic models
Investigations into deep Reinforcement Learning for wind farm set-point optimisation
Adaptive cascade control of a hydraulic actuator with an adaptive dead-zone compensation and optimization based on evolutionary algorithms
DRFIR: A dimensionality reduction framework for all-in-one image restoration in spatial and frequency domains
An ordinal optimization theory-based algorithm for a class of simulation optimization problems and application
FedCET: Collaborative federated learning across cloud-edge-terminal in Computing and Network Convergence of 6G system
Dynamic Bayesian networks based performance evaluation of subsea blowout preventers in presence of imperfect repair
Breast cancer diagnosis using optimized deep convolutional neural network based on transfer learning technique and improved Coati optimization algorithm
Dual perspective denoising model for session-based recommendation
Promoting smart tourism personalised services via a combination of deep learning techniques
MetaPlanner: A decentralized metaheuristic-driven framework for spatio-temporal trajectory planning of agent swarms in dynamic environments
A Fuzzy Logic intelligent agent for Information Extraction: Introducing a new Fuzzy Logic-based term weighting scheme
Exact and metaheuristic algorithms to minimize the total tardiness of cutting tool sharpening operations
LMNS-Net: Lightweight Multiscale Novel Semantic-Net deep learning approach used for automatic pancreas image segmentation in CT scan images
Acoustic signal detection of search-phase echolocation bat calls using hybrid classification model
Predicting long-term population dynamics with bagging and boosting of process-based models
An adaptive global-local interactive non-local boosting network for mixed noise removal
Correcting flawed expert knowledge through reinforcement learning
Evaluation of human resource information systems using grey ordinal pairwise comparison MCDM methods
Predictive modeling of foreign exchange trading signals using machine learning techniques
Towards fast and parameter-independent support vector data description for image and video segmentation
Evolutionary selection of model for time constrained decision problems: A GA approach
Modeling of steelmaking process with effective machine learning techniques
An adaptive portfolio trading system: A risk-return portfolio optimization using recurrent reinforcement learning with expected maximum drawdown
OSGNN: Original graph and Subgraph aggregated Graph Neural Network