yusuke1997/dblp-id-title huggingface dataset:
Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system
Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines
Selective tensorized hybrid BiLSTM model for water quality precursor detection
Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features
Classification of Individual's discrete emotions reflected in facial microexpressions using electroencephalogram and facial electromyogram
Non-negativity and locality constrained Laplacian sparse coding for image classification
A dual-dimensionality reduction strategy for optimization-based parallel parking path planner
Enhancing noise robustness of automatic Parkinson's disease detection in diadochokinesis tests using multicondition training
From textual reviews to Individual Reputation Rankings: Leaving ratings aside solving MPC task
Learning deep relevance couplings for ad-hoc document retrieval
Idea discovery: A scenario-based systematic approach for decision making in market innovation
GATOC: Learning temporal abstraction with the option transition graph attention mechanism
The effectiveness of word of mouth in offline and online social networks
A factorial based particle swarm optimization with a population adaptation mechanism for the no-wait flow shop scheduling problem with the makespan objective
An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method
Enhanced EEG seizure recognition after hypoxia-ischemia in fetal sheep using transformer-based wavelet-scalogram deep learning
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention
Fermatean fuzzy multi-attribute personnel-position matching group decision-making with unknown weight information
Using modified IPA to evaluate supplier's performance: Multiple regression analysis and DEMATEL approach
Turist@: Agent-based personalised recommendation of tourist activities
Strongly correlated nodes and confidence feedbacks based CNN and transformer combined multi-person pose estimation
A consumer-centric design approach to develop comprehensive knowledge-based systems for keyword discovery
Fuzzy UTASTAR: A method for discovering utility functions from fuzzy data
Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data
Rethinking text rectification for scene text recognition
Progressive spectral-frequency-spatial guidance network for hyperspectral image dehazing
Driving support by type-2 fuzzy logic control model
Deep reinforcement learning approach for solving joint pricing and inventory problem with reference price effects
Analysis and application of rectified complex t-spherical fuzzy Dombi-Choquet integral operators for diabetic retinopathy detection through fundus images
Association rule mining to detect factors which contribute to heart disease in males and females
Fuzzy consensus measure on verbal opinions
On performance evaluation of ERP systems with fuzzy mathematics
A social approach for learning agents
Visual Mamba-CNN for scribble-based segmentation in weakly supervised learning for photoacoustic tomography
Improved reinforcement learning with curriculum
Echoic log-surprise: A multi-scale scheme for acoustic saliency detection
An interpolation-based texture and pattern preserving algorithm for inpainting color images
CFinder: An intelligent key concept finder from text for ontology development
Regret-based three-way decision making with possibility dominance and SPA theory in incomplete information system
CLIP-driven feature disambiguation and cross-modal synergy for few-shot semantic segmentation
A pattern based predictor for event streams
A missing manufacturing process data imputation framework for nonlinear dynamic soft sensor modeling and its application
Positional normalization-based mixed-image data augmentation and ensemble self-distillation algorithm
A contrastive video language multimodal method for teacher action quality assessment
Flaw detection of domed surfaces in LED packages by machine vision system
Explainable epidemiological thematic features for event based disease surveillance
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review
Phase space reconstruction, geometric filtering based Fisher discriminant analysis and minimum distance to the Riemannian means algorithm for epileptic seizure classification
MDTGAN: Multi domain generative adversarial transfer learning network for traffic data imputation
Physicochemical analysis of the age of handwritten inscriptions on documents: Trends and prospects
Multi-label feature selection with feature reconstruction and label correlations
Convolutional long short term memory deep neural networks for image sequence prediction
New VNS heuristic for total flowtime flowshop scheduling problem
Neural-optimal tuning of a controller for a parallel robot
An evolutionary clustering search for the no-wait flow shop problem with sequence dependent setup times
Comparative analysis of a randomized N-policy queue: An improved maximum entropy method
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
A fuzzy intelligent group recommender method in sparse-data environments based on multi-agent negotiation
Integration of self-organizing feature maps neural network and genetic K-means algorithm for market segmentation
A shift-invariant morphological system for software development cost estimation
A proposed customer relationship framework based on information retrieval for effective Firms' competitiveness
Locality Robust Domain Adaptation for cross-scene hyperspectral image classification
Illuminating the black box: An interpretable machine learning based on ensemble trees
An efficient automatic accident detection system using inertial measurement through machine learning techniques for powered two wheelers
Modified migrating birds optimization algorithm for closed loop layout with exact distances in flexible manufacturing systems
Predicting the risky encounters without distance knowledge between the ships via machine learning algorithms
Modeling climate change impacts on vector-borne disease using machine learning models: Case study of Visceral leishmaniasis (Kala-azar) from Indian state of Bihar
Key success factors for online auctions: Analysis of auctions of fashion clothing
Linear and geometric algebra approaches for sphere and spherical shell intersections in Rn
Breast calcification detection based on multichannel radiofrequency signals via a unified deep learning framework
A hybrid model for learning from failures: The Hurricane Katrina disaster
Best value concessionaire selection through a fuzzy logic system
PANC: Prototype Augmented Neighbor Constraint instance completion in knowledge graphs
Ensemble of surrogates in black-box-type engineering optimization: Recent advances and applications
Multi-attribute decision making for green electrical discharge machining
A deep learning model for multi-modal spatio-temporal irradiance forecast
Support vector machines combined with feature selection for breast cancer diagnosis
Automated classification of urban locations for environmental noise impact assessment on the basis of road-traffic content
Visually secure image encryption: Exploring deep learning for enhanced robustness and flexibility
World Hyper-Heuristic: A novel reinforcement learning approach for dynamic exploration and exploitation
An edge-located uniform pattern recovery mechanism using statistical feature-based optimal center pixel selection strategy for local binary pattern
Expert condition monitoring on hydrostatic self-levitating bearings
Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique
Evaluating emotional and subjective responses in synthetic art-related dialogues: A multi-stage framework with large language models
A recommender approach based on customer emotions
Legal ontologies over time: A systematic mapping study
Spatiotemporal trajectory clustering: A clustering algorithm for spatiotemporal data
Intelligent performance evaluation of e-commerce express services using machine learning: A case study with quantitative analysis
WEEE treatment strategies' evaluation using fuzzy LINMAP method
Chaotic heuristic assisted method for the search path planning of the multi-BWBUG cooperative system
Learning to zoom: Exploiting mixed-scale contextual information for object detection
The design and implementation of a deep reinforcement learning and quantum finance theory-inspired portfolio investment management system
Enhancing fairness in decision-making of natural language understanding systems: An intersectional bias debiasing model via information theory-based disentanglement
SAX-ARM: Deviant event pattern discovery from multivariate time series using symbolic aggregate approximation and association rule mining
HGCM: A hybrid radar feature and GNSS based continuous mapping method
Road-adaptive algorithm design of half-car active suspension system
The design of FFML: A rule-based policy modelling language for proactive fraud management in financial data streams
Noise adaptive spatiotemporal neural networks for deformation prediction of high rockfill dams
Joint filter combination-based central difference feature extraction and attention-enhanced Dense-Res2Block network for short-utterance speaker recognition
A novel object detection system for computer night vision images using residual 3D transformer-based YoloV8 with adaptive GRU in edge and cloud sector
Enhancing CSI-based gait recognition through multi-view feature extraction and few-sample adaptability
A design and analysis of computer experiments based mixed integer linear programming approach for optimizing a system of electric vehicle charging stations
Identification of perceptive users based on the graph convolutional network
Pixel Voting Decoder: A novel decoder that regresses pixel relationships for segmentation
Reasoning with streamed uncertain information from unreliable sources
Detection of abnormal operation in geothermal binary plant feed pumps using time-series analytics
A hybrid fuzzy regression-fuzzy cognitive map algorithm for forecasting and optimization of housing market fluctuations
Lightweight image super-resolution network based on dynamic graph message passing and convolution mixer
JL-TFMSFNet: A domestic cat sound emotion recognition method based on jointly learning the time-frequency domain and multi-scale features
Data mining and statistical techniques for characterizing the performance of thin-film photovoltaic modules
Adaptive granulation Renyi rough entropy image thresholding method with nested optimization
Novel adaptive bacterial foraging algorithms for global optimisation with application to modelling of a TRS
Domain adversarial learning with multiple adversarial tasks for EEG emotion recognition
Recent trends in mathematical expressions recognition: An LDA-based analysis
Analysis of fuzzy Decision Making Trial and Evaluation Laboratory on technology acceptance model
A semantic recommendation algorithm for the PaaSport platform-as-a-service marketplace
Constructing 3D human model from front and side images
Locality sensitive hashing for sampling-based algorithms in association rule mining
Using linear programming to solve clustered oversubscription planning problems for designing e-courses
A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference
A novel two-stage fuzzy classification method with different weight permutations for optimal GIS-based placement of wellness and sports centers
Large Scale Anonymous Collusion and its detection in crowdsourcing
A method for detecting persimmon leaf diseases using the lightweight YOLOv5 model
Deep learning-based hard spatial attention for driver in-vehicle action monitoring
Using latent topics to enhance search and recommendation in Enterprise Social Software
Using a system-diagnostic approach to solve information and operation issues in shop-floor integration systems
Anomaly detection in multivariate streaming PMU data using density estimation technique in wide area monitoring system
ChatGPT vs human expertise in the context of IT recruitment
A neural probabilistic bounded confidence model for opinion dynamics on social networks
SwiftR: Cross-platform ransomware fingerprinting using hierarchical neural networks on hybrid features
t-SNE-PSO: Optimizing t-SNE using particle swarm optimization
Cluster analysis using multi-algorithm voting in cross-cultural studies
An ontology-based data integration approach for web analytics in e-commerce
A density-based approach for querying informative constraints for clustering
Fedstellar: A Platform for Decentralized Federated Learning
Private and heterogeneous personalized hierarchical federated learning using Conditional Generative Adversarial networks
Detecting fake news by RNN-based gatekeeping behavior model on social networks
A contrastive clustering loss function increases class-balanced in time series classification
Single activity sensor-based ensemble analysis for health monitoring of solitary elderly people
Tracing the evolution of AI in the past decade and forecasting the emerging trends
State estimation for distribution power systems by applying an advanced optimization approach
Incentivized provision of metadata, semantic reasoning and time-driven filtering: Making a puzzle of personalized e-commerce
GFMLLM: Enhance multi-modal large language model for global and fine-grained visual spatial perception
Large-scale group decision consensus under social network: A chance-constrained robust optimization-based minimum cost consensus model
An adaptive rule-based classifier for mining big biological data
A new distance measure for hidden Markov models
Automated weather forecasting and field monitoring using GRU-CNN model along with IoT to support precision agriculture
American sign language recognition and training method with recurrent neural network
Forecasting of stock return prices with sparse representation of financial time series over redundant dictionaries
Enhanced black widow optimization algorithm incorporating food sufficiency strategy and differential mutation strategy for feature selection of high-dimensional data
Recommender system based on pairwise association rules
Fraud analytics: A decade of research: Organizing challenges and solutions in the field
On preprocessing data for financial credit risk evaluation
GraphShield: Advanced dynamic graph-based malware detection using graph neural networks
Explainable Bayesian networks applied to transport vulnerability
Lichtenberg algorithm: A novel hybrid physics-based meta -heuristic for global optimization
Stability-based system for bearing fault early detection
Synchronizing adaptive LFAs defense in AIoT using hybrid Spatial-Temporal Graph model with programmable data plane, SDN
MMHA: A multi-modal data fusion algorithm with hierarchical attention for disease diagnosis and cancer subtype prediction
SDS-MDBScan: Assigning a meaning to changes in data stream scenarios based on the statistical calculation of the data semantic trends
Multi-condition milling cutter wear prediction based on split-channel information re-fusion and domain adaptation
Dynamic multi-swarm particle swarm optimizer with harmony search
Referring flexible image restoration
An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network
A deterministic and probabilistic hybrid model for wind power forecasting based improved feature screening and optimal Gaussian mixed kernel function
GIST: A generative model with individual and subgroup-based topics for group recommendation
Implementation of a hybrid fuzzy system as a decision support process: A FAHP-FMCDM-FIS composition
A cloud-based intelligent reconstruction method for low-sampling-rate signals in remote condition monitoring of hydraulic pumps
Nonnegative graph embedding induced unsupervised feature selection
Developing an intelligent expert system for streamflow prediction, integrated in a dynamic decision support system for managing multiple reservoirs: A case study
Smooth and semi-smooth pinball twin support vector machine
Constructing ensembles of classifiers using supervised projection methods based on misclassified instances
Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm-support vector machines: HGASVM
Defect-LoRA: Controllable defect data augmentation based on low-rank adaptation for surface defect recognition under limited data
Real-time detection of crop rows in maize fields based on autonomous extraction of ROI
What does it look like? An artificial neural network model to predict the physical dense 3D appearance of a large-scale object
Integrating wavelet transform with deep learning for Arctic sea ice concentration prediction
A systematic methodology for the creation of Six Sigma projects: A case study of semiconductor foundry
Active learning inspired method in generative models
Forecasting mobile broadband traffic: Application of scenario analysis and Delphi method
ENGA: Elastic Net-Based Genetic Algorithm for human action recognition
GMSN: An efficient multi-scale feature extraction network for gait recognition
Green logistic vehicle routing problem: Routing light delivery vehicles in urban areas using a neuro-fuzzy model
A remote and personalised novel approach for monitoring asthma severity levels from EEG signals utilizing classification algorithms
Simultaneous learning of reduced prototypes and local metric for image set classification
Fast marching subjected to a vector field-path planning method for mars rovers
Automatic sleep staging based on SVD, VMD, HHT and morphological features of single-lead ECG signal
Cross-efficiency evaluation and decomposition with directional distance function in series and parallel systems
Right-of-way based multi-agent deep reinforcement learning for collaborative decision-making at unsignalized intersection
Corrigendum to "Implementation of a COM-based decision-tree model with VBA in ArcGIS" [Experts Systems with Applications 37 (1) (2010) 12-17]
Determinants of behavioral intention to mobile banking
Investigation of acoustic and visual features for acoustic scene classification
A composite spatio-temporal modeling approach for age invariant face recognition
Dynamic churn prediction framework with more effective use of rare event data: The case of private banking
Multiple-criteria decision-making sorting methods: A survey
Bayesian network analysis for the dynamic prediction of early stage entrepreneurial activity index
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset
Neuromolecularware and its application to pattern recognition
A SOMAgent for machine translation
Prediction-enhanced intelligent driver model: Integrating transformer-based foresight into car-following dynamics
Formal concept analysis in knowledge processing: A survey on applications
Approximate NORTA simulations for virtual sample generation
A contextual Choquet integral-based preference learning model considering both criteria interactions and the compromise effects of decision-makers
Tensor-based consensus learning for incomplete multi-view clustering
Using multi-population intelligent genetic algorithm to find the pareto-optimal parameters for a nano-particle milling process
User action and facial expression recognition for error detection system in an ambient assisted environment
Discovering novel prognostic biomarkers of hepatocellular carcinoma using eXplainable Artificial Intelligence
Intelligent problem solving in process control of an event filter cluster for a particle physics experiment
Artificial chromosomes embedded in genetic algorithm for a chip resistor scheduling problem in minimizing the makespan
Predicting price trends combining kinetic energy and deep reinforcement learning
Overcoming barriers to integrated management systems via developing guiding principles using G-AHP and F-TOPSIS
Cohen's class bilinear distributions and convolutional neural networks applied to broken rotor bar diagnosis
Fine-tuning Convolutional Neural Networks for fine art classification
A Bayesian network for recurrent multi-criteria and multi-attribute decision problems: Choosing a manual wheelchair
A new U-Net based system for multi-cultural wedding image classification
A pooled Object Bank descriptor for image scene classification
Group-guided prompt learning for vision-language models
Covariance matrix adaptation evolution strategy based on correlated evolution paths with application to reinforcement learning
Hierarchical and smoothed topographic path planning for large-scale virtual simulation environments
Interactive fuzzy programming for fuzzy random two-level linear programming problems through probability maximization with possibility
The design of ultrasonic therapy device via fuzzy logic
One-shot neural architecture search for fault diagnosis using vibration signals
An improved grey wolf optimizer for solving engineering problems
Exploring ensemble oversampling method for imbalanced keyword extraction learning in policy text based on three-way decisions and SMOTE
A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: The case of paper recycling
Optimizing convolutional neural networks architecture using a modified particle swarm optimization for image classification
A software application for rapid risk assessment in integrated supply chains
Hierarchical viewpoint discovery from tweets using Bayesian modelling
Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations
Deep Multi-Similarity Hashing with semantic-aware preservation for multi-label image retrieval
A weighted inference engine based on interval-valued fuzzy relational theory
Technology trends analysis and forecasting application based on decision tree and statistical feature analysis
A Multi-stage framework for COVID-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique
NIR-II fluorescence image enhancement via multi-step modulation
Mining marketing maps for business alliances
Stable feature selection based on probability estimation in gene expression datasets
A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection
Negotiation-based scheduling considering agent emotion
Design and development of a mobile peer-to-peer social networking application
Torpedo performance Markov model
New replay attack detection using iterative adaptive inverse filtering and high frequency band
Developing a hybrid multi-criteria model for selection of outsourcing providers
Development of Intelligent Fault-Tolerant Control Systems with Machine Learning, Deep Learning, and Transfer Learning Algorithms: A Review
Throughput accounting heuristics is still adequate: Response to criticism
Data mining model-based control charts for multivariate and autocorrelated processes
Enhancement of neural networks with an alternative activation function tanhLU
Stacked authorship attribution of digital texts
A neural network based clinical decision-support system for efficient diagnosis and fuzzy-based prescription of gynecological diseases using homoeopathic medicinal system
Dynamic link prediction by learning the representation of node-pair via graph neural networks
A novel software defect prediction based on atomic class-association rule mining
Effective selection and allocation of material handling equipment for stochastic production material demand problems using genetic algorithm
ATSDPC: Adaptive two-stage density peaks clustering with hybrid distance based on dispersion coefficient
What emotional intelligence traits make citizens really active? An empirical study
Predicting risk-adjusted returns using an asset independent regime-switching model
Modeling and implementing an agent-based system for prediction of protein relative solvent accessibility