yusuke1997/dblp-id-title huggingface dataset:
A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering
Combinatorial optimization in Biology using Probability Collectives Multi-agent Systems
APhyND - An algorithmic framework for automatic narrative detection in psychotherapy session transcripts
Conditional preference in recommender systems
Contextual awareness based communication and coauthoring proximity in the internet
EEG-based emotion analysis using non-linear features and ensemble learning approaches
Integrating the logistics network design with order quantity determination under uncertain customer demands
Energy policies for data-center monolithic schedulers
A deep neural network approach to QRS detection using autoencoders
Deep neural network-based robust hologram watermarking using guided attack module
Web usage analysis of Pillar 3 disclosed information by deposit customers in turbulent times
Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm
INN-based dual-generator adversarial contrastive learning network for multi-modal multi-label emotion recognition
Different life cycles of rice pests' images recognition based on adaptive lightweight DC-ghost module
A genetic algorithm and particle swarm optimization for redundancy allocation problem in systems with limited number of non-cooperating repairmen
CCDM: Causality-guided contourlet diffusion models for contour-preserving image restoration in indoor work sites
A robust statistical framework for cyber-vulnerability prioritisation under partial information in threat intelligence
A link2vec-based fake news detection model using web search results
Oversized ore detection using rotated CCAD-YOLOv3 and ellipse fitting
Multivariate neural network operators activated by smooth ramp functions
Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool
Peer review expert group recommendation: A multi-subject coverage-based approach
Latent space robust subspace segmentation based on low-rank and locality constraints
Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning
Evaluation systems and methods of enterprise informatization and its application
Hot topic detection in central bankers' speeches
MCAD-EUC: Multi-context adaptive decoding with entropy-based uncertainty calibration for knowledge conflict mitigation
Distribution-aware hybrid noise augmentation in graph contrastive learning for recommendation
A novel content-based image retrieval system with feature descriptor integration and accuracy noise reduction
Takagi-Sugeno neural fuzzy modeling approach to fluid dispensing for electronic packaging
Constructing a non-degeneracy nD chaotic map model and counteracting dynamic degradation through adaptive impulsive perturbation
Biometric authentication using finger nail plates
Use of ANP weighted crisp and fuzzy QFD for product development
Improving recommender systems via a Dual Training Error based Correction approach
Exposing low-quality deepfake videos of Social Network Service using Spatial Restored Detection Framework
A hybrid approach for text document clustering using Jaya optimization algorithm
Support managers' selection using an extension of fuzzy TOPSIS
Feature selection via Non-convex constraint and latent representation learning with Laplacian embedding
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
A review of recommender systems based on knowledge graph embedding
A novel transformer model for surface damage detection and cognition of concrete bridges
Multi-view adaptive image enhancement with hierarchical attention for complex underground mining scenes
An intelligent optimized secure blockchain mechanism for cloud auditing
A collaborative algorithm for semantic video annotation using a consensus-based social network analysis
Multisensory integration for topological indoor localization of mobile robots in complex symmetrical environments
A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living
Development of a Composite Knowledge Manipulation Tool: K-Expert
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
MCRSpell: A metric learning of correct representation for Chinese spelling correction
Experimenting with big data computing for scaling data quality-aware query processing
Evolutionary feature selection via structure retention
Automated trend analysis of proteomics data using an intelligent data mining architecture
Contour and texture preservation underwater image restoration via low-rank regularizations
Learning style Identifier: Improving the precision of learning style identification through computational intelligence algorithms
Combining localized fusion and dynamic selection for high-performance SVM
A review of machine learning approaches to Spam filtering
Medical waste transportation: A novel periodic reverse logistic design
Computer systems to facilitating organizational learning: IT and organizational context
Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks
Selective Guidance Network with edge and texture awareness for polyp segmentation
Intelligent software debugging: A reinforcement learning approach for detecting the shortest crashing scenarios
A simple and fast method for Named Entity context extraction from patents
Flexible drug-target interaction prediction with interactive information extraction and trade-off
Frequency bounds for edges and paths in optimal Hamiltonian cycle based on frequency Kis
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach
An extension of the Promethee II method based on generalized fuzzy numbers
A model for predicting customer value from perspectives of product attractiveness and marketing strategy
Heuristic wavelet approach for low-dose EPR tomographic reconstruction: An applicability analysis with phantom and in vivo imaging
OWA aggregation operators and multi-agent decisions with N-soft sets
Exploring an early warning system for maritime security risks: An approach based on compressed sensing
A feature level image fusion for Night-Vision context enhancement using Arithmetic optimization algorithm based image segmentation
P-TTAN: A novel neural network optimized for thermal feature perception and representation in 3D temperature predictions
LMI static output-feedback design of fuzzy power system stabilizers
Evolutionary RBF classifier for polarimetric SAR images
Generalized intuitionistic fuzzy geometric interaction operators and their application to decision making
An efficient simulation optimization methodology to solve a multi-objective problem in unreliable unbalanced production lines
A crowdsourcing-based incremental learning framework for automated essays scoring
An online writer identification system using regression-based feature normalization and codebook descriptors
Knowledge-enhanced model with dual-graph interaction for confusing legal charge prediction
A systematic review on artificial intelligence applications in seaports - a network analysis approach
HKRG: Hierarchical knowledge integration for radiology report generation
An empirical test of the evidential reasoning approach's synthesis axioms
A feature cluster taxonomy based feature selection technique
Expert model for detection of epileptic activity in EEG signature
Learning from graph data by putting graphs on the lattice
Analyzing bi-objective optimization Pareto fronts using square shape slope index and NSGA-II: A multi-criteria decision-making approach
Benchmarking state-of-the-art imbalanced data learning approaches for credit scoring
Dispersion Ratio based Decision Tree Model for Classification
Improving the sustainability of WiFi-enabled indoor localization systems through meta-heuristic based instance selection approach
Expected value method for intuitionistic trapezoidal fuzzy multicriteria decision-making problems
MeD-3D: A multimodal deep learning framework for precise recurrence prediction in clear cell renal cell carcinoma (ccRCC)
A two-stage adaptive consensus reaching process with improved automatic strategy for multi-attribute large group emergency decision-making
A self-adaptive data analysis for fault diagnosis of an automotive air-conditioner blower
Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition
Asymmetrical siamese network for point clouds normal estimation
Evolution features and behavior characters of friendship networks on campus life
Sensor-based modeling of problem-solving in virtual reality manufacturing systems
Improving scheduling of emergency physicians using data mining analysis
Fire detection model in Tibet based on grey-fuzzy neural network algorithm
A survey on wearable sensor modality centred human activity recognition in health care
A hierarchical active inference framework for stable robotic control
Comparing ensemble strategies for deep learning: An application to facial expression recognition
Commodity demand forecasting using modulated rank reduction for humanitarian logistics planning
Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education
A Bayesian regularized artificial neural network for stock market forecasting
Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer
DC-SLAM: Dual-category dynamic feature suppression for RGB-D VSLAM
A Robust Attention-based Cardinality Estimator with Domain Adaptation
A novel data clustering algorithm based on gravity center methodology
Bio-inspired fuzzy logic based tuning of power system stabilizer
Adaptive gated universal information extraction for Chinese legal texts
An interpretable hierarchical temporal aggregation network for RUL prediction
Hybrid evolutionary algorithms for the Multiobjective Traveling Salesman Problem
Modeling and analysis of project team formation factors in a project-oriented virtual organization (ProVO)
Modeling indoor lighting inspection robot behavior using Concurrent Communicating Lists
Ergodic distribution for a fuzzy inventory model of type (s, S) with gamma distributed demands
A Fuzzy-Multi Attribute Decision Making approach for efficient service selection in cloud environments
A state-driven modeling approach to human interactions for knowledge intensive services
Integrating support vector machine and genetic algorithm to implement dynamic wafer quality prediction system
A weighted information-gain measure for ordinal classification trees
Combine multi-valued attribute decomposition with multi-label learning
Balanced and robust unsupervised Open Set Domain Adaptation via joint adversarial alignment and unknown class isolation
A soft computing approach to localization in wireless sensor networks
Identification of malware families using stacking of textural features and machine learning
A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming
SqSelect: Automatic assessment of Failed Error Propagation in state-based systems
Artificial Emotional Intelligence: Conventional and deep learning approach
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: A systematic review
Evolutionary algorithms for the design of grid-connected PV-systems
Autonomous tracking of chemical plumes developed in both diffusive and turbulent airflow environments using Petri nets
Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm
A novel robust data envelopment analysis with asymmetric uncertainty and an application to National Basketball Association
Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection
Multi-depot vehicle routing problem with risk mitigation: Model and solution algorithm
COVID-19 detection from CT scans using a two-stage framework
Acoustic signal augmentation for fault diagnosis of power transformers based on improved cycle generative adversarial networks
Future-aware user intent modeling with knowledge distillation for sequential recommendation
Sequential association rules for forecasting failure patterns of aircrafts in Korean airforce
Applying the genetic encoded conceptual graph to grouping learning
Feature Selection and Neural Network for analysis of microstructural changes in magnetic materials
Player Identification in Hockey Broadcast Videos
Sentiment analysis of COVID-19 cases in Greece using Twitter data
Closed-loop deep brain stimulation based on a stream-clustering system
Efficient algorithms for mining closed high utility itemsets in dynamic profit databases
Risk assessment model selection in construction industry
Designing scheduled route for river liner shipping services with empty container repositioning
An automated negotiation model based on agents' attribute preference with emotional deception
Improving annotation categorization performance through integrated social annotation computation
An automated satellite image classification design using object-oriented segmentation algorithms: A move towards standardization
Empirical modeling of splitting tensile strength from cylinder compressive strength of concrete by genetic programming
A multi-objective optimization algorithm for flow shop group scheduling problem with sequence dependent setup time and worker learning
An interpretable spatiotemporal method with a composite attention mechanism for the prediction of air pollution with stable and dynamic spatial relationships
Evaluation of sustainable cold chain suppliers using a combined multi-criteria group decision-making framework under fuzzy ZE-numbers
A robust ant colony metaheuristic for urban freight transport scheduling using passenger rail network
A Web-based personalized recommendation system for mobile phone selection: Design, implementation, and evaluation
Closed-loop supply chain value co-creation considering equity crowdfunding
A novel hybrid evolutionary approach for capturing decision maker knowledge into the unequal area facility layout problem
An integrated approach for depression diagnosis using 3S feature embeddings and G-BLS with T-pHBGO optimizer
The construction of a Chinese fine-grained sentiment dictionary for Chinese domestic investors (CN-FSD) and its application
Comment recommendation based on graph bidirectional aggregation networks
Exploring the interpretability of Vision GCN with a multi-method approach
SalienTR: A closer look at multi-modal transformer for RGB-T salient object detection
Optimal starting point for time series forecasting
Socially aware fuzzy vehicle routing problem: A topic modeling based approach for driver well-being
High-Precision machining energy consumption prediction based on multi-sensor data fusion and Ns-Transformer network
Severity level diagnosis of Parkinson's disease by ensemble K-nearest neighbor under imbalanced data
Using contextual information and multidimensional approach for recommendation
Data spread-based entropy clustering method using adaptive learning
Improving a model for the dynamic modulus of asphalt using the modified harmony search algorithm
LSTM-based failure prediction for railway rolling stock equipment
An evolutionary multitasking algorithm based on k-nearest neighbors pre-selection strategy for constrained multi-objective optimization
Analysis of concept drift in fake reviews detection
Neuron cell count with deep learning in highly dense hippocampus images
Multi-view semi-supervised classification via auto-weighted submarkov random walk
A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design
Type-2 fuzzy decision support system to optimise MANET integration into infrastructure-based wireless systems
NASNet with African vulture optimization for detecting diabetic retinopathy stages in retinal fundus images
Optimizing patrol force deployment using a genetic algorithm
Investigating the post-complaint period by means of survival analysis
A study of engine room smoke detection based on proactive machine vision model for intelligent ship
Granule-specific feature selection for continuous data classification using neighborhood rough sets
TGNet: Texture-enhanced guidance network for RGB-D salient object detection
EPMA: Efficient pattern matching algorithm for DNA sequences
Real-time estimation of multi-class path travel times using multi-source traffic data
HebbR 2 -Taffic: A novel application of neuro-fuzzy network for visual based traffic monitoring system
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation
ABSEM: An agent-based simulator of emotions in mindfulness programs
Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse
Accurate multi-criteria decision making methodology for recommending machine learning algorithm
An early fault diagnosis agreement under hybrid fault model
ADS_UNet: A nested UNet for histopathology image segmentation
JavaDON: an open-source expert system shell
A practical approach to detecting file timestamp manipulation for digital forensic investigations
COBRA: Counterfactual oversampling framework for imbalanced structured data classification
A factorization scheme for observability analysis in transportation networks
DEA based data preprocessing for maximum decisional efficiency linear case valuation models
Interactive and Explainable Robot Learning: A Comprehensive Review
Developments and Trend Maps for Soft Continuum Manipulators and Soft Snake Robots
Energy in Robotics
Cyber-Maritime Cycle: Autonomy of Marine Robots for Ocean Sensing
Vision for Robotics
A Survey on Policy Search for Robotics
Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots
Mathematical Programming Approaches for Multi-Vehicle Motion Planning: Linear, Nonlinear, and Mixed Integer Programming
Design of Dynamic Legged Robots
From Specialized Industrial Grippers to Flexible Grippers: Issues for Grasping and Dexterous Manipulation
A Survey of Nonverbal Signaling Methods for Non-Humanoid Robots
Soft-Material Robotics
Laser and Radar Based Robotic Perception
Adoption of Robots for Disasters: Lessons from the Response to COVID-19
An Algorithmic Perspective on Imitation Learning
Tactile Guidance for Policy Adaptation
Particle Filters for Robot Navigation
A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring
Interactive Imitation Learning in Robotics: A Survey
Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice
A Survey of Methods for Safe Human-Robot Interaction
Social Interactions for Autonomous Driving: A Review and Perspectives
Sensing and Filtering: A Fresh Perspective Based on Preimages and Information Spaces
A Roadmap for US Robotics - From Internet to Robotics 2020 Edition
Robust Estimation and Applications in Robotics
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning
A Review of Point Cloud Registration Algorithms for Mobile Robotics
Computational Human-Robot Interaction
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Estimation Contracts for Outlier-Robust Geometric Perception
Observability Properties and Deterministic Algorithms in Visual-Inertial Structure from Motion
Robotics in the AI era: A vision for a Hellenic Robotics Initiative
Embodiment in Socially Interactive Robots
Micro-Scale Mobile Robotics
Foundations of Embodied Intelligence for Robotic Systems
Factor Graphs for Robot Perception
A study on comparisons of additive regression frailty models to counter heterogeneity: Bayesian strategies and case study
Two-dimensional balanced sampling plans excluding adjacent units under sharing a border and island adjacency schemes
Modified EWMA control chart for transformed gamma data
Residual Life Estimation Based on a Generalized Wiener Process with Skew-normal Random Effects
On several properties of a novel class of generalized Humbert autoregressive moving average process
Calculation of Critical Values for Haibing's Procedure for Successive Comparisons between Ordered Treatment Effects
Optimal portfolio selection using quantile and composite quantile regression models
Optimal designs of variable sample size control chart for monitoring the multivariate coefficient of variation in short production runs
Tests for Multiple Outliers in an Exponential Sample
A New Generalization of Geometric Distribution with Properties and Applications
Understanding the Hastings Algorithm
Parameter Estimation for a k -out-of- n : F System
On the Stochastic Restricted Almost Unbiased Estimators in Linear Regression Model
An artificial bee colony algorithm for mixture model-based clustering
On three-parameter generalized exponential distribution
Control charts of mean and variance using copula Markov SPC and conditional distribution by copula
Numerical Comparison Between Different Empirical Prediction Intervals Under the Fay-Herriot Model
A novel multi-scale fractional-order Bernoulli grey model and its application on primary school scale prediction
A Bernoulli autoregressive moving average model applied to rainfall occurrence
Randomized quasi-random sampling/importance resampling
The curse of dimensionality (COD), misclassified DMUs, and Bayesian DEA
The analysis of unreliable M[X]/G/1 queuing system with loss, vacation and two delays of verification
Asymptotic Distribution of Studentized Contribution Ratio in High-Dimensional Principal Component Analysis
Comparison of different estimation methods in growth curve models for categorical data: A simulation study
Back propagation neural networks and multiple regressions in the case of heteroskedasticity
A note on efficient simulation of multidimensional spatial autoregressive processes
The gradient test and its finite sample size properties in a conditional maximum likelihood and psychometric modeling context
Composite kernel quantile regression
Statistical Estimates for Modified Gravitation Model by Aggregated Data
Simultaneous variable selection and parameters estimation for longitudinal data subject to missingness and covariates measurement error
A simple unit root testing methodology that does not require knowledge regarding the presence of a break
A note on the limitations of the CAT procedure with application to mixed-effects models
Estimation of population mean in two-occasion successive sampling
Forecasting stock prices using hybrid non-stationary time series model with ERNN
A dynamic approach to relative taxonomy and robust measures of central tendency
Risk performance of some shrinkage estimators
Monitoring the coefficient of variation using a double-sampling control chart
On a new class of binomial ridge-type regression estimators
Bayesian tobit quantile regression with penalty
Goodness of fit test using Lin-Wong divergence based on Type-I censored data
Phase-II monitoring and diagnosing of multivariate categorical processes using generalized linear test-based control charts
A New Procedure to Monitor the Mean of a Quality Characteristic
Some simple estimators for the two-parameter gamma distribution
Piecewise linear approximations of baseline under proportional hazards based COM-Poisson cure models
Interval estimators for ratios of independent quantiles and interquantile ranges
Kernel methods for changes detection in covariance matrices
First-order spatial random coefficient non-negative integer-valued autoregressive (SRCINAR(1,1)) model
Portfolio selection algorithm under financial crisis: a case study with Bursa Malaysia
Mallows Distance in VARFIMA(0, d , 0) Processes
Sensitivity analysis of Bayesian nonparametric spatial crash frequency models
Artificial neural networks with a signed-rank objective function and applications