yusuke1997/dblp-id-title huggingface dataset:
Examining the impact of adaptive convolution on natural language understanding
Stochastic distributed preference relation analysis based on a new uncertainty allocation model
Modeling fuzzy data envelopment analysis by parametric programming method
Online sequential Extreme learning Machine (OSELM) based denoising of encrypted image
RfGanNet: An efficient rainfall prediction method for India and its clustered regions using RfGan and deep convolutional neural networks
Identifying critical nodes in power networks: A group-driven framework
Multi granularity based label propagation with active learning for semi-supervised classification
Evaluating process performance based on the incapability index for measurements with uncertainty
A linear ordering on the class of Trapezoidal intuitionistic fuzzy numbers
A Robust profit measure for binary classification model evaluation
Priority-based constructive algorithms for scheduling agile earth observation satellites with total priority maximization
MSPFusion: A feature transformer for multidimensional spectral-polarization image fusion
A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control
An online method for robust target tracking using a wireless sensor network
An agent-based genetic algorithm for hybrid flowshops with sequence dependent setup times to minimise makespan
Analysis of financial contagion among economic sectors through Dynamic Bayesian Networks
Application of fuzzy cognitive maps for cotton yield management in precision farming
Mitigating adversarial cascades in large graph environments
An artificial neural network for mixed frequency data
Mobile robot map building from time-of-flight camera
Classification of seven Iranian wheat varieties using texture features
Multi-attribute group decision-making considering opinion dynamics
DAGCRN: Graph convolutional recurrent network for traffic forecasting with dynamic adjacency matrix
Equilibrium-based COVID-19 diagnosis from routine blood tests: A sparse deep convolutional model
SimUV-Net: A novel approach for UV signal-based fire detection and classification leveraging supervised contrastive learning
A feature selection algorithm for intrusion detection system based on the enhanced heuristic optimizer
Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition
A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images
Distributed efficient localization in swarm robotics using Min-Max and Particle Swarm Optimization
CADroid: A cross-combination attention based framework for android malware detection
Data Collaborative Contrastive Recommendation model with self-adaptive noise
Ant colony optimization for wavelet-based image interpolation using a three-component exponential mixture model
Blockchain technology adoption decisions and investment cost sharing in the context of consumer privacy protection in online shopping
SVM-based posture identification with a single waist-located triaxial accelerometer
Learner attending auto-monitor in distance learning using image recognition and Bayesian Networks
A novel measure for evaluating classifiers
Detecting video anomalies by jointly utilizing appearance and skeleton information
Key performance indicator-related process monitoring for irregular scenarios with incomplete data
Determination of the optimal number of independent components based on similarity measurement testing
Bi-objective dynamic multiprocessor open shop scheduling for maintenance and healthcare diagnostics
Efficient methods for mining weighted clickstream patterns
Multi-objective hyper heuristic memetic algorithm for time-dependent vehicle routing problem with drone considering simultaneous pickup and delivery
Efficient scheduling of a stochastic no-wait job shop with controllable processing times
A new methodology for multi-period portfolio selection based on the risk measure of lower partial moments
Learning deep neural networks for node classification
Rectal tumor segmentation via spatial contextual enrichment and uncertainty-rectified hybrid Semi-Supervised learning
Application of machine learning techniques to analyse student interactions and improve the collaboration process
An integrated method for collaborative R&D project selection: Supporting innovative research teams
A decision support system for constructing an alert classification model
Mixed granularity network for person re-identification
Mixed integer programming modeling for the satellite three-dimensional layout optimization problem from two component assignment perspectives
Assessing the competency of a semi-parametric expert system in the realms of response characterization uncertainty in premixed methanol dual fuel diesel combustion strategies: In critique to RSM
Financial applications of machine learning: A literature review
IoT-enabled recurrent spatio-temporal adaptive attention of temporal convolutional transformer with continual learning for dairy farming
Segment confidence-based binary segmentation (SCBS) for cursive handwritten words
A novel recommendation model of location-based advertising: Context-Aware Collaborative Filtering using GA approach
An EEG-driven adaptive spatiotemporal and frequency-rich network for fatigue recognition in construction workers
Reinforcement learning-based expanded personalized diabetes treatment recommendation using South Korean electronic health records
Effective periodic pattern mining in time series databases
Web personalization expert with combining collaborative filtering and association rule mining technique
Pattern differentiation of glandular cancerous cells and normal cells with cellular automata and evolutionary learning
Multi-level fleet size optimization for containers handling using double-cycling strategy
An intelligent primer design system for multiplex reverse transcription polymerase chain reaction and complementary DNA microarray
An efficient approach to cross-fab route planning for wafer manufacturing
A hybrid TwinSVM-HHO model for multilingual spam review detection using sentiment features and pre-trained embeddings
Transfer learning approach for classification and noise reduction on noisy web data
The effectiveness of an Intelligent Annotation Sharing System on e-learning
Mining association rules for the quality improvement of the production process
Dynamic analysis and community recognition of stock price based on a complex network perspective
A novel project portfolio selection framework towards organizational resilience: Robust Ordinal Priority Approach
Wafer map defect pattern detection method based on improved attention mechanism
Sensitivity analysis in multi-criteria decision making: A state-of-the-art research perspective using bibliometric analysis
Feature fusion network for pulmonary nodule segmentation and EGFR classification using dual encoders
A study of the effects of negative transfer on deep unsupervised domain adaptation methods
Knowledge cloud system for network collaboration: A case study in medical service industry in China
A parallel branch-and-cut and an adaptive metaheuristic to solve the Family Traveling Salesman Problem
Multi-objective symbiotic organism search algorithm for optimal feature selection in brain computer interfaces
Racists spreader is narcissistic; sexists is Machiavellian Influence of Psycho-Sociological Facets in hate-speech diffusion prediction
ASC-SRN: Adaptive sparse sampling convolution-based infrared super-resolution network
Semi-supervised suppressed possibilistic Gustafsan-Kessel clustering algorithm based on local information and knowledge propagation
Development of a CNN-based fault detection system for a real water injection centrifugal pump
Deep face profiler (DeFaP): Towards explicit, non-restrained, non-invasive, facial and gaze comprehension
Closed frequent similar pattern mining: Reducing the number of frequent similar patterns without information loss
Hybrid feature ranking and classifier aggregation based on multi-criteria decision-making
Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry
FRED-Net: Fully residual encoder-decoder network for accurate iris segmentation
A novel evolutionary row class entropy based optimal multi-level thresholding technique for brain MR images
A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities
Data envelopment analysis based performance evaluation of hospitals - Implementation of novel picture fuzzy BCC model
Geometric deep learning for drug discovery
A dual evolutionary bagging for class imbalance learning
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
Cellular traffic prediction with machine learning: A survey
Evaluating the generalization ability of deep learning models: An application on sugar content estimation from hyperspectral images of wine grape berries
Refining search results using a mining framework
Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals
Collaborative user modeling with user-generated tags for social recommender systems
Subspace segmentation via self-regularized latent K -means
A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks
A harmonic estimator design with evolutionary operators equipped grey wolf optimizer
QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology
Finger-vein presentation attack detection using depthwise separable convolution neural network
A novel masking model for Buddhist literature understanding by using Generative Adversarial Networks
Self-supervised ZINB-based kernel representation learning of single-cell RNA sequencing data
The PPP projects for rural residential environment: An evolutionary game model from the synergy perspective of rural enterprises
Vector geographic data commutative encryption and watermarking algorithm based on prediction differences
3D multi-vehicle tracking in highway scenarios via candidates fusion network with camera-LIDAR deep association
Analyzing IT business values - A Dominance based Rough Sets Approach perspective
Spatial color image segmentation based on finite non-Gaussian mixture models
Federated semi-supervised learning via globally guided pseudo-labeling: A robust approach for label-scarce scenarios
Lightweight recurrence-free handwritten text recognition
Distributed PSO for dynamic intersection management: Enhancing traffic flow and safety in connected autonomous vehicles
A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction
Multi-label feature selection via adaptive dual-graph optimization
MoCo4SRec: A momentum contrastive learning framework for sequential recommendation
Beyond data poisoning in federated learning
Short-term stock price prediction based on echo state networks
A novel data driven approach for combating energy theft in urbanized smart grids using artificial intelligence
Voting features based classifier with feature construction and its application to predicting financial distress
Improved DDPG based on enhancing decision evaluation for path planning in high-density environments
Backtracking search algorithm with competitive learning for identification of unknown parameters of photovoltaic systems
Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network
Environmental sustainability and mobility impacts of connected and autonomous vehicles at urban highways
A closed loop based facility layout design using a cuckoo search algorithm
Automatic calibration of a rainfall-runoff model using a fast and elitist multi-objective particle swarm algorithm
A text as unique as a fingerprint: Text analysis and authorship recognition in a Virtual Learning Environment of the Unified Health System in Brazil
Bi-level sparsity augmented design method for selection of tractive locations of railway turnout
Generalised soft multi-mode real options model (fuzzy-stochastic approach)
Building layered, multilingual sentiment lexicons at synset and lemma levels
The promises and perils of Automatic Identification System data
Time-varying effects in the analysis of customer loyalty: A case study in insurance
Portfolio allocation with the TODIM method
An overview of deep learning methods for multimodal medical data mining
Integrating regular expressions into neural networks for relation extraction
An adaptive large neighborhood search for the robust rig routing
Graph modeling for verifying and validating reasonable flow quantity information: Evidence from Indonesia's establishment of good governance in the upstream oil and gas sector
Use of deep neural networks for clogging detection in the Submerged Entry Nozzle of the continuous casting
A study of Taiwan's issuer credit rating systems using support vector machines
An attribute-based ant colony system for adaptive learning object recommendation
Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm
Application of a hybrid genetic algorithm and neural network approach in activity-based costing
Predicting corporate financial distress based on integration of decision tree classification and logistic regression
A strategic analysis for successful Brain Korea 21 initiative based on structural equation model
Co-attentive representation learning for web services classification
Online value iteration-driven intelligent control for CMG gimbal servo system under multi-source disturbances
The use of data mining and neural networks for forecasting stock market returns
Disambiguating authors in citations on the web and authorship correlations
Embedded devices for supply chain applications: Towards hardware integration of disparate technologies
Increasing image compression rate using steganography
Highly shared Convolutional Neural Networks
A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival
A new method to extract n-Ary relation instances from scientific documents
Disease profiling in pharmaceutical E-commerce
Performance evaluation of technological service platform: A rough Z-number-based BWM-TODIM method
A novel self-attention enriching mechanism for biomedical question answering
Why are some social-media contents more popular than others? Opinion and association rules mining applied to virality patterns discovery
Resilient supplier selection in logistics 4.0 with heterogeneous information
What should lenders be more concerned about? Developing a profit-driven loan default prediction model
Robotic Hierarchical Graph Neurons. A novel implementation of HGN for swarm robotic behaviour control
Duplicate product record detection engine for e-commerce platforms
Multi-representational learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs
MPPT aware task scheduling for nanosatellites using MIP-based ReLU proxy models
A large-scale group decision-making model considering risk attitudes and dynamically changing roles
Erratum to "A discrete colonial competitive algorithm for hybrid flowshop scheduling to minimize earliness and quadric tardiness penalties" [Expert Syst. Appl 38 (2011) 14490-14498]
Historical inference based on semi-supervised learning
Plagiarism detection of anime character portraits
Parameters optimization of hybrid strategy recommendation based on particle swarm algorithm
A two-stage proactive dialogue generator for efficient clinical information collection using large language model
Weak signal identification with semantic web mining
Blockchain-based trusted accountability in the maintenance of medical imaging equipment
A high-order multi-variable Fuzzy Time Series forecasting algorithm based on fuzzy clustering
HaluCheck: Explainable and verifiable automation for detecting hallucinations in LLM responses
Intelligent computer vision system for segregating recyclable waste papers
Alternative design redundancy allocation using an efficient heuristic and a honey bee mating algorithm
A framework to Prediction occupant injuries in rotated seating arrangements
Human-centric multimodal fusion network for robust action recognition
Vertical structure selection and evolution in shipping supply chains under bilateral bargaining
Combination of multiple diagnosis systems in Self-Healing networks
Risk assessment based on FMEA combining DEA and cloud model: A case application in robot-assisted rehabilitation
The impact of problem domains and knowledge acquisition techniques: a content analysis of P/OM expert system case studies
VCR-imputer: Discrete data imputation considering variable causal relationships
An orthogonally filtered tree classifier based on nonlinear kernel-based optimal representation of data
Item recommendation using tag emotion in social cataloging services
Multi-target regression measurement model based on cascaded broad stochastic configuration network and its applications
A novel time-delay neural grey model and its applications
COVID-19 and other viruses: Holding back its spreading by massive testing
Solving effectively the school timetabling problem using particle swarm optimization
A two-stage hybrid flow-shop formulation for sterilization processes in hospitals
A control chart pattern recognition system for feedback-control processes
A novel representation in genetic programming for ensemble classification of human motions based on inertial signals
Data augmentation of flavor information for electronic nose and electronic tongue: An olfactory-taste synesthesia model combined with multiblock reconstruction method
Are CDS spreads predictable during the Covid-19 pandemic? Forecasting based on SVM, GMDH, LSTM and Markov switching autoregression
Understanding the stumbling blocks of Italian higher education system: A process mining approach
A novel two-level clustering method for time series data analysis
Image inpainting network for filling large missing regions using residual gather
Fuzzy product line design model while considering preference uncertainty: A case study of notebook computer industry in Taiwan
A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring
Unleashing the power of context: Contextual association network with cross-task attention for joint relational extraction
Computational method for unsupervised segmentation of lymphoma histological images based on fuzzy 3-partition entropy and genetic algorithm
I-Promise - intelligent protective material selection
Kernel based regression and genetic algorithms for estimating cutting conditions of surface roughness in end milling machining process
A three-phase sheep optimization algorithm for numerical and engineering optimization problems
Comparing actor-critic deep reinforcement learning controllers for enhanced performance on a ball-and-plate system
Supporting international entry decisions for construction firms using fuzzy preference relations and cumulative prospect theory
A novel hybrid intelligent method based on C4.5 decision tree classifier and one-against-all approach for multi-class classification problems
Comparative analysis of MCDM methods for pipe material selection in sugar industry
Interpretable wood chip moisture content prediction through texture analysis
MSIFT: A novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion
Pre-production forecasting of movie revenues with a dynamic artificial neural network
PULSE: A personalized physiological signal analysis framework via unsupervised domain adaptation and self-adaptive learning
Optimizing IoT communication for enhanced data transmission in smart farming ecosystems
Ensemble and Fuzzy Kalman Filter for position estimation of an autonomous underwater vehicle based on dynamical system of AUV motion
MMDT: a multi-valued and multi-labeled decision tree classifier for data mining
Mob-INC: An effective scheme for maize disease recognition based on deep networks
Many-objective sectorization for last-mile delivery optimization: A decision support system
The application of clustering analysis for the critical areas on TFT-LCD panel
Normalized nonconformity measures for automated valuation models
A fuzzy robust evaluation model for selecting and ranking NPD projects using Bayesian belief network and weight-restricted DEA
EEG-based assessment of driver trust in automated vehicles
A VE-CONV2D model for wind power prediction based on frequency feature reconstruction and time efficiency optimization
An algebraic approach to Parkinson disease diagnosis
Identifying HRV patterns in ECG signals as early markers of dementia
Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problems
Hybrid intelligent scenario generator for business strategic planning by using ANFIS
Overload control of massive random access for machine-type communications
Automated design of local search algorithms: Predicting algorithmic components with LSTM
Measuring latent combinational novelty of technology
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring
Pattern recognition to forecast seismic time series
Triple-layered chaotic differential evolution algorithm for layout optimization of offshore wave energy converters
Redefining fuzzy entropy with a general framework
Novel data imputation techniques under incomplete interval-valued q-rung orthopair fuzzy sets
A fuzzy constraint satisfaction approach for electronic shopping assistance
Loki - the semantic wiki for collaborative knowledge engineering
Knowledge PET3D: An interpretable framework for 3D near-miss detection in thermal traffic video
Enhancing transparency of omics data analysis with the Evolutionary Multi-Test Tree and Relative Expression
A spatially-constrained normalized Gamma process prior
A study on the user viewing experience of implanted advertisement videos based on visual saliency
Fuzzy decision support system for spread mooring system selection
Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals
A bi-criteria approach to the truck-multidrone routing problem
Depressioner: Facial dynamic representation for automatic depression level prediction
A new approach to qualitative learning in time series
Optimizing back-propagation networks via a calibrated heuristic algorithm with an orthogonal array
A hybrid deep learning rainfall-runoff forecasting model Incorporating spatiotemporal information from multi-source data
Robust fuzzy model predictive control for connected and automated vehicles in mixed platoons using a bidirectional vehicle dynamics strategy
Extreme learning machines for credit scoring: An empirical evaluation
SIMCD: SIMulated crowd data for anomaly detection and prediction
Leukocyte classification using relative-relationship-guided contrastive learning
On the feasibility of using physics-informed machine learning for underground reservoir pressure management
Agricultural UAV trajectory planning by incorporating multi-mechanism improved grey wolf optimization algorithm
Computationally optimized brain tumor classification using attention based GoogLeNet-style CNN
The potential roles of context-aware computing technology in optimization-based intelligent decision-making
Plant leaf identification based on shape and convolutional features
Bernstain-search differential evolution algorithm for numerical function optimization
Machine learning models for forecasting power electricity consumption using a high dimensional dataset
Analysis and evaluation in a welding process applying a Redesigned Radial Basis Function
Incremental and dynamic graph construction with application to image classification