yusuke1997/dblp-id-title huggingface dataset:
A novel texture feature based multiple classifier technique for roadside vegetation classification
A Hybrid Similarity-Aware Graph Neural Network with Transformer for Node Classification
KFF: K-feature fusion token merging for vision transformer
Remote sensing image semantic segmentation via class-guided structural interaction and boundary perception
CLICOM: Cliques for combining multiple clusterings
DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization
Inversion mechanism with functional extrema model for identification incommensurate and hyper fractional chaos via differential evolution
MITER: Medical Image-TExt joint adaptive pretRaining with multi-level contrastive learning
Discriminating rapeseed varieties using computer vision and machine learning
Fuzzy logic based multi document summarization with improved sentence scoring and redundancy removal technique
Application of asymmetric proximal support vector regression based on multitask learning in the stock market
Draw on advantages and avoid disadvantages by making a multi-step prediction
Multiclass SVM-RFE for product form feature selection
HiLAM-aligned kernel discriminant analysis for text-dependent speaker verification
Ultrasonic liver tissue characterization by feature fusion
TaxoFolk: A hybrid taxonomy-folksonomy structure for knowledge classification and navigation
IMAML-IDCG: Optimization-based meta-learning with ImageNet feature reusing for few-shot invasive ductal carcinoma grading
A bi-objective k-nearest-neighbors-based imputation method for multilevel data
Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection
An evolutionary Chameleon Swarm Algorithm based network for 3D medical image segmentation
A hybrid Kansei engineering design expert system based on grey system theory and support vector regression
Noise-robust and sector-aware representation learning for natural gas demand forecasting
Supervisory expert control for ball mill grinding circuits
FewRelEx: Exploring multimodal few-shot relation extraction with enhanced visual-textual mapping
Region Contextual Visual Words for scene categorization
Modal shape identification of the vibration data of bridge dynamic test using fuzzy clustering
A population based hybrid FCM-PSO algorithm for clustering analysis and segmentation of brain image
Automating the expansion of a knowledge graph
Iterated-greedy-based algorithms with beam search initialization for the permutation flowshop to minimise total tardiness
A robust structure identification method for evolving fuzzy system
DGD-CCAFNet: Dual-level graph distillation and continuous cross-modal attention fusion network for multimodal sentiment analysis
A data-driven spatio-temporal driving risk field mechanism for path planning
Bone age estimation with HS-optimized Resnet and Yolo for child growth disorder
A multi-scale feature extraction and attention aggregation network for underwater image enhancement
Cooperative capacity planning and resource allocation by mutual outsourcing using ant algorithm in a decentralized supply chain
A distribution-free method for probabilistic prediction
Application of NLP-based models in automated detection of risky contract statements written in complex script system
Neighborhood global learning based flower pollination algorithm and its application to unmanned aerial vehicle path planning
An intuitionistic fuzzy goal programming approach for finding pareto-optimal solutions to multi-objective programming problems
Panoptic-FusionNet: Camera-LiDAR fusion-based point cloud panoptic segmentation for autonomous driving
Corrigendum to "An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization" [Expert Systems with Applications 36 (6) (2009) 9847-9852]
A hybrid model for deep learning short-term power load forecasting based on feature extraction statistics techniques
Development of efficient identification scheme for nonlinear dynamic systems using swarm intelligence techniques
Two-stage convolutional neural network for road crack detection and segmentation
Multi-stage modeling using fuzzy multi-criteria feature selection to improve survival prediction of ICU septic shock patients
Ranking of units by positive ideal DMU with common weights
Association rule mining with mostly associated sequential patterns
An inertial stochastic Bregman generalized alternating direction method of multipliers for nonconvex and nonsmooth optimization
Intelligent deep reinforcement learning based SMCF boundaries - An effective assessment of integrated network operating state
An immune programming-based ranking function discovery approach for effective information retrieval
Double auction mechanisms on Markovian networks
Design of closed-loop manufacturing-remanufacturing system network considering uncertain defect and waste rate: Scenario-based chance-constrained programming
SG-DTAM: Joint staged generation and dynamic time alignment for missing and unaligned modalities in sentiment analysis
Aspect extraction with enriching word representation and post-processing rules
Acquisition of three-dimensional information of brain structures using endoneurosonography
Dual-discriminator conditional generative adversarial network optimized with hybrid manta ray foraging optimization and volcano eruption algorithm for hyperspectral anomaly detection
Advancing ecological restoration: A novel 3D interpolation method for assessing ammonia-nitrogen pollution in rare earth mining areas
An analysis of the sensitivity and stability of an uncertain SBM DEA model based on belief degree
EnCur: Curriculum-based in-context learning with structural encoding for code time complexity prediction
An approach of multi-criteria group decision making with incomplete information based on formal concept analysis and rough set
Multi-view structural twin support vector machine with the consensus and complementarity principles and its safe screening rules
On Pareto optimality using novel goal programming approach for fully intuitionistic fuzzy multiobjective quadratic problems
Enhancing adversarial robustness with randomized interlayer processing
New semi-supervised fuzzy C-means clustering with asymmetric deviation constraints and fast algorithm
Federated learning based on two-stage knowledge distillation for intrusion detection in industrial IoT
Neural networks based reinforcement learning for mobile robots obstacle avoidance
Tool based on artificial neural networks to obtain cooling capacity of hermetic compressors through tests performed in production lines
An end-to-end framework combining time-frequency expert knowledge and modified transformer networks for vibration signal classification
Text summarization using unsupervised deep learning
Multi-way feature selection for ECoG-based Brain-Computer Interface
The study of a forecasting sales model for fresh food
Interpretable model committee for monitoring and early prediction of intracranial pressure crises
Hierarchy-based reversible data hiding
GMM posterior features for improving online handwriting recognition
Web-services classification using intelligent techniques
An online reviews-driven large-scale group decision making approach for evaluating user satisfaction of sharing accommodation
An expert system based on linear discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases
Application of the Box-Behnken design to the optimization of process parameters in foam cup molding
Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model
Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection
BiDiCOS: Camouflaged object segmentation via bilateral diffusion model
An improved BERT method for the evolution of network public opinion of major infectious diseases: Case Study of COVID-19
Learning personalized preference: A segmentation strategy under consumer sparse data
Support vector machine for classification based on fuzzy training data
The acceptance and use of customer relationship management (CRM) systems: An empirical study of distribution service industry in Taiwan
Development of a knowledge-based self-assessment system for measuring organisational performance
Transformer-based multi-attention hybrid networks for skin lesion segmentation
Detecting and visualizing hate speech in social media: A cyber Watchdog for surveillance
A novel trilinear deep residual network with self-adaptive Dropout method for short-term load forecasting
A high-performance democratic political algorithm for solving multi-objective optimal power flow problem
FishTrack: Multi-object tracking method for fish using spatiotemporal information fusion
Towards semi-supervised multi-modal rectal cancer segmentation: A large-scale dataset and a multi-teacher uncertainty-aware network
Knowledge management strategy and its link to knowledge creation process
GLPACO: Global and local perspective adaptive collaborative optimisation for graph contrastive learning
Smart mobile computation offloading: Centralized selective and multi-objective approach
Learning patterns of university student retention
A variable neighborhood search algorithm for the bin packing problem with compatible categories
Probabilistic physics-guided machine learning for fatigue data analysis
Extracting useful software development information from mobile application reviews: A survey of intelligent mining techniques and tools
Encroachment of complementary suppliers in the technology product market
An effective reformative memetic algorithm for distributed flexible job-shop scheduling problem with order cancellation
Artificial intelligence-driven financial innovation: A robo-advisor system for robust returns across diversified markets
Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems
Semisupervised graph U-Net with G-ConvLSTM for hyperspectral image classification
Self-filling evidential clustering for partial multi-view data
Solving a real-life multi-period trailer-truck waste collection problem with time windows
Hybrid Attentive Graph Neural Networks for time series gene expression clustering
Evaluation of blockchain implementation solutions in the sustainable supply chain: A novel hybrid decision approach based on Z-numbers
Design of real-time fuzzy bus holding system for the mass rapid transit transfer system
An agent-based paradigm for the reconstruction of conical perspectives
A game theory based many-objective hybrid tensor decomposition for skin cancer prediction
Corrigendum to "Hybrid computational models for the characterization of oil and gas reservoirs" [Expert Systems with Applications 37 (2010) 5353-5363]
Optimal feature subset deduction based on possibilistic feature quality classification and feature complementarity
Detection of driver health condition by monitoring driving behavior through machine learning from observation
Density-based particle swarm optimization algorithm for data clustering
A secure and privacy blockchain-based data sharing scheme in mobile edge caching system
Time-series forecasting via topological information supervised framework with efficient topological feature learning
Consensus checking and improving methods for AHP with q-rung dual hesitant fuzzy preference relations
An edge feature aware heterogeneous graph neural network model to support tax evasion detection
Efficient optimization of multiple recommendation quality factors according to individual user tendencies
Modeling partial customer churn: On the value of first product-category purchase sequences
Session-based recommendation with time-aware neural attention network
Enhancing the dependability of autonomous surface vehicles through robustness benchmarking of real-time object detection models
A new hybrid feature selection approach using feature association map for supervised and unsupervised classification
Evolutionary fuzzy particle swarm optimization vector quantization learning scheme in image compression
A coordinated scheduling system for customer orders scheduling problem in job shop environments
Data-driven extraction and analysis of repairable fault trees from time series data
An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray
Corrigendum to "Classification of sleep apnea by using wavelet transform and artificial neural networks" [Expert Systems with Applications 37 (2) (2010) 1600-1607]
MARGOT: A web server for argumentation mining
A new method for bearing remaining useful life prediction based on dynamic wavelet and physical information constraints
UNITI: Framework for multi-task learning across datasets to mitigate overfitting
A taxonomy of web prediction algorithms
A Markov decision process approach for managing medical drone deliveries
A novel approach based on graph signal processing and sampling theory to set pressure sensors in water distribution networks
MVSG-GS: A metaheuristic virtual sample generation method for soft sensor modeling based on guidelines sharing
A model for the integration of e-financial services questionnaires with SERVQUAL scales under fuzzy linguistic modeling
The impact of oil price shocks on systematic risk of G7 stock markets
UAPFinger: One-to-many Deep Neural Network Fingerprinting via Universal Adversarial Perturbations
An efficient incremental evaluation function for optimizing truck scheduling in a resource-constrained crossdock using metaheuristics
Mining the data from a hyperheuristic approach using associative classification
Multi-scale attention-edge interactive refinement network for salient object detection
Physarum Learner: A bio-inspired way of learning structure from data
Genetic algorithm for optimal thresholds of an infinite capacity multi-server system with triadic policy
Single allocation hub location problem under congestion: Network owner and user perspectives
OverlapOcc: Leveraging overlap regions of surround-view cameras for 3D semantic occupancy prediction
Concept learning by fuzzy k-NN classification and relevance feedback for efficient image retrieval
Development of new Consolidity Theory for systems' analysis and design in fully fuzzy environment
Fresh-products community group-buying delivery problem for heterogeneous customers
The agent-based negotiation process for B2C e-commerce
Hybrid tabu-simulated annealing based approach to solve multi-constraint product mix decision problem
Applying systematic diagnosis and product classification approaches to solve multiple products operational issues in shop-floor integration systems
Effective hybrid branch-and-cut algorithm for the inventory routing problem with open vehicle routing constraints
A text mining approach on automatic generation of web directories and hierarchies
Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method
An optimisation-based digital twin for automated operation of rail level crossings
Identity verification using shape and geometry of human hands
Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans
COLLECT: COLLaborativE ConText-aware service oriented architecture for intelligent decision-making in the Internet of Things
Availability assessment of demand-driven multi-state phased-mission system with performance sharing under reconfiguration mechanism
Enhanced Harris hawks optimization with multi-strategy for global optimization tasks
Transportation problems for intermodal networks: Mathematical models, exact and heuristic algorithms, and machine learning
Two-step benchmarking: Setting more realistically achievable targets in DEA
FIAD: Graph anomaly detection framework based feature injection
An expert system to identify transcription factor binding target genes by phylogenetic footprinting
An efficient multiple-kernel learning for pattern classification
Modelling spatial dependence for Loss Given Default in peer-to-peer lending
Investigating fusion approaches in multi-biometric cancellable recognition
Forest Optimization Algorithm
An improved two-archive artificial bee colony algorithm for many-objective optimization
A hybrid GA-TS algorithm for open vehicle routing optimization of coal mines material
Group multi-criteria decision making based upon interval-valued fuzzy numbers: An extension of the MULTIMOORA method
Prior-assisted unpaired image dehazing framework for enhanced visibility in real-world hazy scenarios
DTS: A Decoupled Task Specificity Approach for Aspect Sentiment Triplet Extraction
A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour
A fast algorithm for mining temporal association rules in a multi-attributed graph sequence
QuerIA: adaptive question generation and evaluation in higher education using large language models and contextual learning
Beyond breathalyzers: AI-powered speech analysis for alcohol intoxication detection
Two cooperative ant colonies for feature selection using fuzzy models
Cybersecurity threats in FinTech: A systematic review
Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank
Multi-task guided blind light field image quality assessment via spatial-frequency collaborative modeling
Multithreshold Entropy Linear Classifier: Theory and applications
MapReduce accelerated attribute reduction based on neighborhood entropy with Apache Spark
A Scene-Attention Relation-Centric Algorithm for Solving Arithmetic Word Problems
An integrated framework for agricultural non-point source pollution control technology evaluation: Application of an improved multiple attribute decision making method
Leading the green charge: A novel type-2 fuzzy VIKOR method applied to eco-conscious freight transport
AIoT image analysis for real-time dispatching of shipyard transport devices: A focus on trailers
A novel clustering algorithm based upon games on evolving network
Anticipating impression using textual sentiment based on ensemble LRD model
A survey: Ant Colony Optimization based recent research and implementation on several engineering domain
A collaborative desktop tagging system for group knowledge management based on concept space
Prediction of ailments using federated transfer learning and weight penalty-rational Tanh-RNN
A multi-machine multi-product EPQ problem for an imperfect manufacturing system considering utilization and allocation decisions
Machine learning algorithms for predicting drugs-tissues relationships
Learning generalized visual relations for domain generalization semantic segmentation
The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS
Determining the titles of Web pages using anchor text and link analysis
Characterization and explanation of the sustainability of the European wood manufacturing industries: A quantitative approach
Refinement and Revision in Academic Writing: Integrating Multi-source Knowledge and LLMs with Delta Feedback
Combining profile features for offensiveness detection on Spanish social media
An efficient and secure CLAKA protocol for blockchain-aided wireless body area networks
Fuzzy evolutionary optimization modeling and its applications to unsupervised categorization and extractive summarization
An improved PIO feature selection algorithm for IoT network intrusion detection system based on ensemble learning
An integrated information system for real estate agency-based on service-oriented architecture
Automatic detection of alertness/drowsiness from physiological signals using wavelet-based nonlinear features and machine learning
Intelligent ship collision avoidance in maritime field: A bibliometric and systematic review
Automatic classification of glycaemia measurements to enhance data interpretation in an expert system for gestational diabetes
Particle swarm approach for parameter optimization of quantum well nano structure
Knowledge strategy planning: methodology and case
Clustering using ordered weighted averaging operator and 2-tuple linguistic model for hotel segmentation: The case of TripAdvisor
A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules
Earnings management prediction: A pilot study of combining neural networks and decision trees
Cyclostationary correntropy: Definition and applications
Stock market index prediction based on reservoir computing models
A novel multi criteria decision making model for optimizing time-cost-quality trade-off problems in construction projects
Fuzzy case-based reasoning approach for finding COVID-19 patients priority in hospitals at source shortage period
Analysis by data mining in the emergency medicine triage database at a Taiwanese regional hospital
A frequency assessment expert system of piezoelectric transducers in paucity of data
Blind source separation with dynamic source number using adaptive neural algorithm
A multi-objective decision making model for the vendor selection problem in a bifuzzy environment
CycLight: Learning traffic signal cooperation with a cycle-level strategy
Feedback control loop design for workload change detection in self-tuning NoSQL wide column stores
P2GCN: Pixel-patch mutual enhancement graph convolutional network for sonar image super-resolution
Adversarial attacks and defenses on AI in medical imaging informatics: A survey
A BRILS metaheuristic for non-smooth flow-shop problems with failure-risk costs
Generative design for complex floorplans in high-rise residential buildings: A Monte Carlo tree search-based self-organizing multi-agent system (MCTS-MAS) solution
Developing a used car pricing model applying Multivariate Adaptive regression Splines approach
A new hybrid swarm intelligence-based maximum power point tracking technique for solar photovoltaic systems under varying irradiations
An integrated decision making approach for ERP system selection
Timeliness in recommender systems
Improved binary particle swarm optimization using catfish effect for feature selection
An analysis of the yield spread as a predictor of inflation in Brazil: Evidence from a wavelets approach
Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach
MM-DSS: Integrating multimedia and decision-making knowledge in decision support systems
Deep-learning based optimal PMU placement and fault classification for power system
Conjoint analysis for IPTV service
Flexible runtime support of business processes under rolling planning horizons
A population initialization method for evolutionary algorithms based on clustering and Cauchy deviates
Predictive modeling of hospital readmissions using metaheuristics and data mining
Cloud-based sustainability assessment (CSA) system for automating the sustainability decision-making process of built assets
A comprehensive comparison of end-to-end approaches for handwritten digit string recognition
Combining knowledge graph into metro passenger flow prediction: A split-attention relational graph convolutional network
Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions
Towards Compact Single Image Dehazing via Task-related Contrastive Network
Federated continual learning for task-incremental and class-incremental problems: A survey
SYMBAD - Similarity based agents for design
An adaptive evolutionary multi-objective clustering based on the data properties of the base partitions
EAFP-Med: An efficient adaptive feature processing module based on prompts for medical image detection
An ECI-based methodology for determining the final importance ratings of customer requirements in MP product improvement
A false emotion opinion target extraction model with two stage BERT and background information fusion
A comparative study of Artificial Intelligence methods for project duration forecasting
Boosting k-nearest neighbor classifier by means of input space projection
Comparative analysis of the organisational learning process in Slovenia, Croatia, and Malaysia
The AgriQ: A low-cost unmanned aerial system for precision agriculture