yusuke1997/dblp-id-title huggingface dataset:
A model for capturing and representing the engineering design process
A two-stage co-adversarial perturbation to mitigate out-of-distribution generalization of large-scale graph
Data-driven multi-step solar photovoltaic predictions with limited and uncertain information: Insights from a collaboratively-optimized nonlinear grey Bernoulli model
GADPO: Genetic Algorithm based on Dominance for Primer Optimization
A new weakly supervised learning approach for real-time iron ore feed load estimation
An avatar cloud service based method for supervising and interacting with containerized applications
Reconciling internal and external performance in a holistic approach: A Bayesian network model in higher education
ImageDataset2Vec: An image dataset embedding for algorithm selection
Design of optimized fuzzy cascade controllers by means of Hierarchical Fair Competition-based Genetic Algorithms
A systematic approach to new mobile service creation
Distributed computing power service coordination based on peer-to-peer grids architecture
Decision support for foreign investment strategy under hybrid uncertainty
The adaptive fuzzy time series model with an application to Taiwan's tourism demand
Attention deficit hyperactivity disorder detection in children using multivariate empirical EEG decomposition approaches: A comprehensive analytical study
Information-sharing strategy in a two-stage hybrid platform under co-opetition background
Dual graph regularized nonnegative matrix factorization with node attributes and higher-order structure for link prediction in attributed networks
Encoding human activities using multimodal wearable sensory data
An expert trajectory design for control of nuclear research reactors
Hierarchical reinforcement learning with attention-driven multi-actor A2C and shared critic for fleet management
Swarm selection method for multilevel thresholding image segmentation
Online learning-based anomaly detection for positioning system
Hybrid phishing detection using joint visual and textual identity
Development and performance evaluation of neural network classifiers for Indian internet shoppers
Complementary or Substitutive? A Novel Deep Learning Method to Leverage Text-image Interactions for Multimodal Review Helpfulness Prediction
An outcome-oriented approach to multicriteria decision analysis with intuitionistic fuzzy optimistic/pessimistic operators
A dynamic ensemble approach for multi-step price prediction: Empirical evidence from crude oil and shipping market
BayesAHDD: A new Bayesian rule-based adaptive hypersphere data description for few-shot one-class classification
Regression random machines: An ensemble support vector regression model with free kernel choice
Reliability-based design optimization (RBDO) framework for high-energy laser weapons (HELWs) using artificial neural network ensemble
An ACS-based memetic algorithm for the heterogeneous vehicle routing problem with time windows
Hybrid contextual and sentiment-based machine learning model for identifying depression risk in social media
Complete ranking for generalized trapezoidal fuzzy numbers and its application in supplier selection using the GTrF-CoCoSo approach
Artificial neural networks classification and clustering of methodologies and applications - literature analysis from 1995 to 2005
An online reinforcement learning approach for HVAC control
Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters
Learning face super-resolution through identity features and distilling facial prior knowledge
A simple modelling strategy for integer order and fractional order interval type-2 fuzzy PID controllers with their simulation and real-time implementation
A particle swarm optimization-aided fuzzy cloud classifier applied for plant numerical taxonomy based on attribute similarity
A fusiform network of indoor scene classification with the stylized semantic description for service-robot applications
Assembly line balancing in garment industry
Electric vehicle routing problem with non-linear charging and load-dependent discharging
Multi-source variational mode transfer learning for enhanced PM2.5 concentration forecasting at data-limited monitoring stations
A density and connectivity based decision rule for pattern classification
LeDA-GNN: Learnable dual augmentation for graph neural networks
TxLASM : A novel language agnostic summarization model for text documents
Inventory management of new products in retailers using model-based deep reinforcement learning
Frequency-learning generative network (FLGN) to generate vibration signals of variable lengths
An interactive method for the image alignment problem based on partially supervised correspondence
American sign language (ASL) recognition based on Hough transform and neural networks
Multi-objective stochastic project scheduling with alternative execution methods: An improved quantum-behaved particle swarm optimization approach
3D multi-modal fusion networks based on association mapping for quality assurance of treatment plans
An adaptive genetic-based signature learning system for intrusion detection
Category-integrated Dual-Task Graph Neural Networks for session-based recommendation
Applications of chaotic quantum adaptive satin bower bird optimizer algorithm in berth-tugboat-quay crane allocation optimization
A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors
Employing antenna selection to improve energy efficiency in massive MIMO system based on optimal selection of resources
Generalized synchronization of chaotic systems with different orders by fuzzy logic constant controller
Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles
The forecasting model based on modified SVRM and PSO penalizing Gaussian noise
Event-triggered synchronization for discrete-time delayed neural networks via aperiodic detection
An enhanced aggregation method considering deviations for a group recommendation
An integrated method of rough set, Kano's model and AHP for rating customer requirements' final importance
A reliable stochastic computational procedure to solve the mathematical robotic model
Quadratic optimal neural fuzzy control for synchronization of uncertain chaotic systems
A comparative study of common steps in video-based remote heart rate detection methods
An agent-based workflow system for enterprise based on FIPA-OS framework
A novel breast cancer detection system using SDM-WHO-RNN classifier with LS-CED segmentation
Enhanced index tracking based on multi-objective immune algorithm
Pyramid multi-level features for facial demographic estimation
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction
Partitions based computational method for high-order fuzzy time series forecasting
Generating collective counterfactual explanations in score-based classification via mathematical optimization
The smart waste collection routing problem: Alternative operational management approaches
Adaptive neuro-fuzzy pedagogical recommender
Adaptive MLP neural network controller for consensus tracking of Multi-Agent systems with application to synchronous generators
Point cloud enhancement optimization and high-fidelity texture reconstruction methods for air material via fusion of 3D scanning and neural rendering
Screening model of candidate drugs for breast cancer based on ensemble learning algorithm and molecular descriptor
Towards a hybrid load balancing policy in grid computing system
Prediction of silicon content in hot metal using support vector regression based on chaos particle swarm optimization
Data-level information enhancement: Motion-patch-based Siamese Convolutional Neural Networks for human activity recognition in videos
Data generation scheme for photovoltaic power forecasting using Wasserstein GAN with gradient penalty combined with autoencoder and regression models
Intuitionistic fuzzy optimization technique for solving multi-objective reliability optimization problems in interval environment
Mining top-k high utility itemsets with effective threshold raising strategies
Bottleneck feature supervised U-Net for pixel-wise liver and tumor segmentation
A comparison of local explanation methods for high-dimensional industrial data: A simulation study
Measuring employee-tourist encounter experience value: A big data analytics approach
Virtual prompt pre-training for prototype-based few-shot relation extraction
A new bat algorithm based on iterative local search and stochastic inertia weight
Extensible architecture for context-aware mobile web applications
Navigating water scarcity in arid landscapes: a reinforcement learning environment for wheat irrigation management
Information-theoretic clustering: A representative and evolutionary approach
Dynamic Multi-view Group Preference Learning for group behavior prediction in social networks
A complementary ubiquitous service bundling method using service complementarity index
An norm-driven state machine model for CSCW systems
Application of statistics and machine learning for risk stratification of heritable cardiac arrhythmias
A data mining approach considering missing values for the optimization of semiconductor-manufacturing processes
Recognize the surrounding: Development and evaluation of convolutional deep networks using gammatone spectrograms and raw audio signals
Additive deep feature optimization for semantic image retrieval
System vulnerability assessment and critical nodes identification
Comparative density peaks clustering
Integrated thermal-energy management for electric vehicles in high-temperature conditions using hierarchical reinforcement learning
Neuroscience patient identification using big data and fuzzy logic-An Alzheimer's disease case study
Reconstructing fully-sampled vehicle trajectories with fragmented observations from connected and automated vehicles
Problem structuring methods in military command and control
An integrated multi-objective decision-making process for supplier selection with bundling problem
Modeling rutting depth on RIOHTrack asphalt pavement using Circle LSTMs
Recognition of Mexican banknotes via their color and texture features
Applications of picture fuzzy similarity measures in pattern recognition, clustering, and MADM
Hybrid computational models for the characterization of oil and gas reservoirs
QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm
TriHID: Towards verifiable domain adaptation-based IoT intrusion detection in heterogeneous environment
A novel maritime autonomous navigation decision-making system: Modeling, integration, and real ship trial
Automatic retrieval of current evidence to support update of bibliography in clinical guidelines
Predictive performance of denoising algorithms in S&P 500 and Bitcoin returns
Grouping research proposals with funding agency requirements: A contextualized language model and constrained K-means clustering approach
Y-Net-ECG: A Multi-Lead informed and interpretable architecture for ECG segmentation across diverse rhythms
SHI 1 I 2 R competitive information spreading model in online and offline two-layer networks in emergencies
Exploiting clustering algorithms in a multiple-level fashion: A comparative study in the medical care scenario
Towards real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information
Knowledge-based customization of enterprise applications
A new Hybrid Electromagnetism-like Algorithm for capacitated vehicle routing problems
A classification approach for less popular webpages based on latent semantic analysis and rough set model
Mixed data augmentation and osprey search strategy for enhancing YOLO in tomato disease, pest, and weed detection
An integrated optimization and machine learning approach to predict the admission status of emergency patients
Dual-space high-quality individual knowledge-driven surrogate-assisted multi-objective evolutionary algorithm with heterogeneous offspring generation
A non-parametric CAE approach to office rents: Identification of Helsinki metropolitan area submarkets
Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model
Cross representation subspace learning for multi-view clustering
Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application
PSS solution evaluation considering sustainability under hybrid uncertain environments
An evolutionary approach to rank class association rules with feedback mechanism
Many-objective coevolutionary learning algorithm with extreme learning machine auto-encoder for ensemble classifier of feedforward neural networks
A new measure for community structures through indirect social connections
Expert systems in finance - a cross-section of the field
Visible-thermal cross-modality class-incremental learning
Augmenting productivity analysis with data mining: An application on IT business value
The rise of ransomware: Forensic analysis for windows based ransomware attacks
Towards automated homomorphic encryption parameter selection with fuzzy logic and linear programming
Enhanced non-contrast computed tomography images for early acute stroke detection using machine learning approach
Evolving a linear programming technique for MAGDM problems with interval valued intuitionistic fuzzy information
Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Observer-based fuzzy event-triggered control for state constrained MIMO fractional-order systems
A neural network with a case based dynamic window for stock trading prediction
Contourlet and discrete cosine transform based quality guaranteed robust image watermarking method using artificial bee colony algorithm
Association classification algorithm based on structure sequence in protein secondary structure prediction
An empirical study on iris recognition in a mobile phone
A novel filter feature selection method using rough set for short text data
ZO-APFPG: a provably zeroth-order adaptive personalized federated policy gradient algorithm for reinforcement learning with environment heterogeneity
Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets
An improved elephant herding optimization using sine-cosine mechanism and opposition based learning for global optimization problems
Least squares twin support vector machines for pattern classification
Antecedents of application service continuance: A synthesis of satisfaction and trust
Exploiting negative correlation for unsupervised anomaly detection in contaminated time series
Multi-operator immune genetic algorithm for project scheduling with discounted cash flows
Attention-based deformable convolutional network for Chinese various dynasties character recognition
Agent-based adaptive travel planning system in peak seasons
Sparse classification based on dictionary learning for planet bearing fault identification
WebInternational: Combining Web-based knowledge automation, fuzzy rules and on-line databases for international marketing planning
Physics-informed hierarchical echo state network for predicting the dynamics of chaotic systems
Hierarchical clustering algorithm based on Crystallized neighborhood graph for identifying complex structured datasets
Quantum simulation of coopetition
Exudate detection for diabetic retinopathy with circular Hough transformation and convolutional neural networks
Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors
Fast convex set projection with deep prior for seismic interpolation
What is the best RNN-cell structure to forecast each time series behavior?
HASA: Hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images
Emerging technologies and industrial leadership. A Wikipedia-based strategic analysis of Industry 4.0
Training soft margin support vector machines by simulated annealing: A dual approach
What makes multi-class imbalanced problems difficult? An experimental study
Implementation and validation of an opportunistic stock market timing heuristic: One-day share volume spike as buy signal
Nonlinear inversion-based control with adaptive neural network compensation for uncertain MIMO systems
Customer purchase prediction from the perspective of imbalanced data: A machine learning framework based on factorization machine
Brain-inspired method for solving fuzzy multi-criteria decision making problems (BIFMCDM)
Towards intelligent online cross-selling
SWAN: A multihead autoregressive attention model for solar wind speed forecasting
Evaluation of the impact of blockchain technology on supply chain using cognitive maps
An enhanced decomposition-based multi-objective evolutionary algorithm with a self-organizing collaborative scheme
Large-scale group Delphi method with heterogeneous decision information and dynamic weights
Non-uniform self-selective coder for fuzzy rules and its application
Occluded person re-identification via feature enhancement and contextual refinement
A deep semantic-aware approach for Cantonese rumor detection in social networks with graph convolutional network
Feature selection for SVM via optimization of kernel polarization with Gaussian ARD kernels
High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion
Competitive resource allocation in an attacker-defender game: When citizens become targets of being ingratiated
Learning-based joint optimization of mode selection and transmit power control for D2D communication underlaid cellular networks
Next-basket prediction in a high-dimensional setting using gated recurrent units
Dimension reduction in mean-variance portfolio optimization
Digitalisation of manufacturing operations: The influential role of organisational, social, environmental, and technological impediments
Mutually reinforced network embedding: An integrated approach to research paper recommendation
Design of a knowledge-based logistics strategy system
Diagnosis of the macular diseases from pattern electroretinography signals using artificial neural networks
A filtering agent scheme to remote control of industrial processes using Petri nets
Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets
Tailored text augmentation for sentiment analysis
Executive summaries of uncertain values close to the gain/loss threshold - linguistic modelling perspective
Interactive mining of high utility patterns over data streams
Forecasting bowler performance in One-Day International cricket using Machine learning
Real-time high quality font generation with Conditional Font GAN
Genetic algorithms and Darwinian approaches in financial applications: A survey
Nonparametric machine learning models for predicting the credit default swaps: An empirical study
Prediction and modelling online reviews helpfulness using 1D Convolutional Neural Networks
Effect of the Municipal Human Development Index on the results of the 2018 Brazilian presidential elections
Real-time monitor heading dates of wheat accessions for breeding in-field based on DDEW-YOLOv7 model and BotSort algorithm
A hybrid trust network-based consensus model with decision-makers' adjustment willingness in picture fuzzy environment
Bibliometric methods in traffic flow prediction based on artificial intelligence
CRFormer: Cross-Resolution Transformer for segmentation of grape leaf diseases with context mining
A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides
Investigation of pollution flashover on high voltage insulators using artificial neural network
Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition
Image progressive steganography based on multi-frequency fusion deep network with dynamic sensing
Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series
A diagnosis framework for identifying the current knowledge sharing activity status in a community of practice
A bagging-based selective ensemble model for churn prediction on imbalanced data
GTR-GA: Harnessing the power of graph-based neural networks and genetic algorithms for text augmentation
Uncertainty-informed dynamic threshold for time series anomaly detection
Constructing intelligent living-space controlling system with blue-tooth and speech-recognition microprocessor
A fuzzy logic based multi-agents controller
Digital twins in sport: Concepts, taxonomies, challenges and practical potentials
Efficient index-free SimRank similarity search in large graphs by discounting path lengths
A Modified Flower Pollination Algorithm for Global Optimization
A robust state estimation method for power systems using generalized correntropy loss function
Predicting lithium-ion battery health using attention mechanism with Kolmogorov-Arnold and physics-informed neural networks
Multi-Channel Man-in-the-Middle attacks against protected Wi-Fi networks: A state of the art review
Real-time flashover prediction model for multi-compartment building structures using attention based recurrent neural networks
Development of remote healthcare system for measuring and promoting healthy lifestyle
Integration management of vessel transportation in complex waterway network of port clusters: A column generation-based solution approach
Domain-specific multi-transfer approaches for deep learning-based glaucoma screening in high myopia patients
Conversion methods for symbolic features: A comparison applied to an intrusion detection problem
Sensor-based data-driven differentiation between Parkinson's tremor and essential tremor
A fast, information-interactive, and reservoir computing-based digital twin for high-rise building operation
Lightweight Dongba character recognition: A novel and simple baseline
Web service embedding: Representing the invocation association between services with practical-valued vectors
Concept drift modeling for robust autonomous vehicle control systems in time-varying traffic environments
Mining customer knowledge for exploring online group buying behaviour
Classification rule discovery with DE/QDE algorithm
Graph-guided imputation-free incomplete multi-view clustering
BIRCHSCAN: A sampling method for applying DBSCAN to large datasets
Class-weighted reinforcement learning for skin cancer image classification
Robust radio map prediction: An online adaptation approach with dynamic learning rates
Using Constraint Satisfaction Problem approach to solve human resource allocation problems in cooperative health services
From chatting to self-educating: Can AI tools boost student learning outcomes?
A fast technique to detect copy-move image forgery with reflection and non-affine transformation attacks
The compact fuzzy filter design via Takagi-Sugeno fuzzy models
Focusing on non-respondents: Response modeling with novelty detectors
Shared-view and specific-view information extraction for recommendation
Choosing the appropriate order in fuzzy time series: A new N-factor fuzzy time series for prediction of the auto industry production
Progressive contrastive representation learning for defect diagnosis in aluminum disk substrates with a bio-inspired vision sensor
An exact schema theorem for adaptive genetic algorithm and its application to machine cell formation
Reducing emergency services arrival time by using vehicular communications and Evolution Strategies
Output-feedback integral sliding mode control for synchronization of nonidentical complex dynamic networks with unknown disturbances
A fusion of centrality and correlation for feature selection
A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients
Early detection of deception and aggressiveness using profile-based representations
Multi-resolution based dual-channel UNet with cross clique for medical image dense prediction