yusuke1997/dblp-id-title huggingface dataset:
Shapewarp: A "global-to-local" non-rigid sheep point cloud posture rectification method
Image segmentation using PSO and PCM with Mahalanobis distance
Optimal battery charge with safe exploration
The inefficiency of information transmission between stock index futures and the underlying index: Measurements and characteristics
FC-DETR: High-precision end-to-end surface defect detector based on foreground supervision and cascade refined hybrid matching
A two-stage regression framework for automated cephalometric landmark detection incorporating semantically fused anatomical features and multi-head refinement loss
A novel multi-interval-valued fuzzy set model to solve MADM problems
Deep neural network with empirical mode decomposition and Bayesian optimisation for residential load forecasting
Ensemble classifier of long short-term memory with fuzzy temporal windows on binary sensors for activity recognition
A hybrid approach for data clustering based on modified cohort intelligence and K-means
EAT: Environment Agnostic Traversability for reactive navigation
Two-tailed hypothesis testing for the median with fuzzy categories applied to the detection of health risks
TMiner aspects: Crosscutting concerns in the TMiner component-based data mining framework
Transfer learning and its extensive appositeness in human activity recognition: A survey
An attention-driven convolutional neural network-based multi-level spectral-spatial feature learning for hyperspectral image classification
Orthogonal graph regularized non-negative matrix factorization under sparse constraints for clustering
Chaotic binary Group Search Optimizer for feature selection
Development of a hybrid computational intelligent model for daily global solar radiation prediction
Assistive robotic exoskeleton using recurrent neural networks for decision taking for the robust trajectory tracking
Churn in the mobile gaming field: Establishing churn definitions and measuring classification similarities
A bi-level decision-making system to optimize a robust-resilient-sustainable aggregate production planning problem
Simultaneous localization and mapping using swarm intelligence based methods
Table understanding using a rule engine
A novel and efficient data point neighborhood construction algorithm based on Apollonius circle
Novel deep learning models with novel integrated activation functions for autism screening: AutiNet and MinAutiNet
Procedure to improve the surface fidelity of additive manufactured parts via direct slicing tessellation
CEDL+: Exploiting evidential deep learning for continual out-of-distribution detection
Enhanced sentence representation for extractive text summarization: Investigating the syntactic and semantic features and their contribution to sentence scoring
Joint energy and reliability optimization with dual-channel switching in ground-air collaborative networks
EipFormer: Enhancing 3D instance segmentation by emphasizing instance positions
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes
A recommendation mechanism for contextualized mobile advertising
Enhancing investment performance of Black-Litterman model with AI hybrid system: Can it be done?
Enhancing inertial sensor-based sports activity recognition through reduction of the signals and deep learning
Design of output filter for inverters using fuzzy logic
SACRE: Supporting contextual requirements' adaptation in modern self-adaptive systems in the presence of uncertainty at runtime
Soft computing-based expert systems to predict energy consumption and stability margin in turning gaits of six-legged robots
NLP-based approach for automated safety requirements information retrieval from project documents
A data sampling and attribute selection strategy for improving decision tree construction
ADC: Advanced document clustering using contextualized representations
A hybrid framework for efficient and accurate orientation estimation based on single and multiple orientation vector fields
Efficiency of evolutionary search for analog filter synthesis
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming
A secure blind discrete wavelet transform based watermarking scheme using two-level singular value decomposition
A two-stage machine learning method for personal credit risk scoring with fragmentary data
An expert system development tool for non AI experts
Tampering localization and self-recovery using block labeling and adaptive significance
Multi-objective optimal design of an optimal fuzzy fractional order PID controller for fractional order hydraulic turbine regulating system
Combining deep ensemble learning and explanation for intelligent ticket management
A robust optimization approach for disassembly assembly routing problem under uncertain yields
3D attention-focused pure convolutional target detection algorithm for insulator defect detection
Fully component selection: An efficient combination of feature selection and principal component analysis to increase model performance
Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches
Graph-based reinforced multi-objective optimization for distributed heterogeneous flexible job shop scheduling problem under nonidentical time-of-use electricity tariffs
Gas pipeline defect detection based on improved deep learning approach
Discovering knowledge from data clustering using automatically-defined interval type-2 fuzzy predicates
Intellectual capital evaluation using fuzzy cognitive maps: A scenario-based development planning
An end-to-end model for time series classification in the presence of missing values
Applying VSM and LCS to develop an integrated text retrieval mechanism
Explicit model based fuzzy control method for lower limb exoskeleton robot
An event-driven behavior trees extension to facilitate non-player multi-agent coordination in video games
MCGnet with multi-level gated unit transformations: A time series prediction-based model for unknown pattern abnormality detection
Finding the needle by modeling the haystack: Pulmonary embolism in an emergency patient with cardiorespiratory manifestations
Deep low-rank tensor embedding for multi-view subspace clustering
Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy
Real-time monitoring of water quality using temporal trajectory of live fish
Topological analysis of a two coupled evolving networks model for business systems
A new hybrid and dynamic fusion of multiple experts for intelligent porch system
Self-supervised learning for point cloud data: A survey
Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion
Interactive simulation on generalized large-scale scenarios with GNN
Improved adaptive large-scale neighborhood search algorithm for electric vehicle routing problem with soft time windows and linear weight-related discharging
An intelligent infotainment dissemination scheme for heterogeneous vehicular networks
Remote health monitoring adoption model based on artificial neural networks
COVID-19: Automatic detection from X-ray images by utilizing deep learning methods
A hybrid approach to supplier selection for the maintenance of a competitive supply chain
Real-time wildfire detection with semantic explanations
Blind separation of manufacturing variability with independent component analysis: A convolutive approach
Selection of partner organization for drug discovery considering protein interaction via knowledge graph and collaborative filtering: Case of lung cancer
Gaining consensus in a moderated group: A model with a twofold feedback mechanism
Ship global path planning using jump point search and maritime traffic route extraction
Research on integrating different methods of neural networks with case-based reasoning and rule-based system to infer causes of notebook computer breakdown
Robust learning algorithm for multiplicative neuron model artificial neural networks
Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods
Approaches to group decision making with incomplete information based on power geometric operators and triangular fuzzy AHP
Research on the Tourists' aspect sentiment spatiotemporal features in high-A-level tourist attractions: based on target-aspect-sentiment joint detection
Parameter tuning for software fault prediction with different variants of differential evolution
The vehicle routing problem with simultaneous pickup and delivery and occasional drivers
Phase compensation active disturbance rejection control for shimmy vibration with magnetorheological damper of aircraft
Gradient tree boosting and the estimation of production frontiers
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation
A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response
A hybrid project portfolio selection procedure with historical performance consideration
Effective page recommendation algorithms based on distributed learning automata and weighted association rules
Terrain classification method based on fusion of vision and vehicle dynamics for UGV
Pattern recognition and automatic identification of early-stage atrial fibrillation
Consensus reaching with minimum adjustment and consistency management in group decision making with intuitionistic multiplicative preference relations
The bi-objective mixed-fleet vehicle routing problem under decentralized collaboration and time-of-use prices
European option pricing in regime switching framework via physics-informed residual learning
Image denoising feedback framework using split Bregman approach
A novel Bayesian learning method for information aggregation in modular neural networks
A transformer-based adversarial network framework for steganography
A robust technique based on invariant moments - ANFIS for recognition of human parasite eggs in microscopic images
Intelligent adaptive process control using dynamic deadband for semiconductor manufacturing
Identifying and ranking super spreaders in real world complex networks without influence overlap
Verifying soundness of business processes: A decision process Petri nets approach
A novel Grouping Coral Reefs Optimization algorithm for optimal mobile network deployment problems under electromagnetic pollution and capacity control criteria
Constructing compact and effective graphs for recommender systems via node and edge aggregations
Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines
Exploiting multiple question factors for knowledge tracing
A scheme for high level data classification using random walk and network measures
Hybrid heuristics based on column generation with path-relinking for clustering problems
A new method to forecast of Escherichia coli promoter gene sequences: Integrating feature selection and Fuzzy-AIRS classifier system
Rank aggregation methods comparison: A case for triage prioritization
A Hierarchical Memory Network for Knowledge Tracing
A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: An experimental case study with implementation embedded in a PLC
Gaseous fuel supply chain configuration selection: A life cycle thinking-based decision support framework
A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG
Collaborative multidepot electric vehicle routing problem with time windows and shared charging stations
Lexicon-Grammar based open information extraction from natural language sentences in Italian
A temporal data mining approach for shelf-space allocation with consideration of product price
A generalized form of the distance-induced OWA operators - Demonstrating its use for evaluation indicator system in China
An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local
Social network trust relationship environment based advanced ovarian cancer treatment decision-making model: An approach based on linguistic information with experts' multiple confidence levels
Approaching sales forecasting using recurrent neural networks and transformers
Multiple space transfer learning based on maximizing mean variance differences for soft sensor modeling
Optimisation of autonomous ship manoeuvres applying Ant Colony Optimisation metaheuristic
Use of recommendation models to provide support to dyslexic students
Knowledge, ignorance, and uncertainty: An investigation from the perspective of some differential equations
Exploring artificial intelligence-based data fusion for conjoint analysis
Personalizing Communication and Segmentation with Random Forest Node Embedding
An extended hesitant fuzzy set for modeling multi-source uncertainty and its applications in multiple-attribute decision-making
On the Co-authorship network analysis in the Process Mining research Community: A social network analysis perspective
SuFMoFPA: A superpixel and meta-heuristic based fuzzy image segmentation approach to explicate COVID-19 radiological images
A quantile neural network framework for two-stage stochastic optimization
An iterated adaptive large neighborhood search algorithm for the large-scale communication satellite range scheduling problem
Online assessment of content skill levels for medical texts
Eigen-guided deep metric learning
Two-stage multinomial logit model
Multiple premises entailment recognition based on attention and gate mechanism
VGC-GAN: A multi-graph convolution adversarial network for stock price prediction
A new approach to uncertainty description through accomplishment membership functions
Decision model for complex group argumentation
Correlation based dynamic time warping of multivariate time series
Consistency of 2D and 3D distances of intuitionistic fuzzy sets
Eye detection and coarse localization of pupil for video-based eye tracking systems
Towards better understanding of frequent itemset relationships through tree-like data structures
A two-stage spatial prediction modeling approach based on graph neural networks and neural processes
Lightweight multi-scale feature dense cascade neural network for scene understanding of intelligent autonomous platform
Relabeling & raking algorithm for imbalanced classification
A novel ranking approach for identifying crucial spreaders in complex networks based on Tanimoto Correlation
CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends
An accurate approximation to barrier option prices with discrete fixed-amount dividends: Nonlinear dynamics
The limited role of sustainability in mutual fund investor decisions: A machine learning approach
MAED: Mask assignment encoder decoder solver for multiple patterning layout decomposition
Credit risk assessment with a multistage neural network ensemble learning approach
Hexagonal grid-based representation and generative prediction method for citywide traffic accident situations in urban area
Improving the quality of the Heuristics Miner in ProM 6.2
Resource allocation neural network in portfolio selection
An improved fuzzy forecasting method for seasonal time series
Image completion based on segmentation using neutrosophic sets
Exploring the evolution of research topics during the COVID-19 pandemic
An expert system for EMI data classification based on complex Bispectrum representation and deep learning methods
Towards robust detection of tiny objects in hazy remote sensing images
Quarterly sales analysis using linguistic fuzzy logic with weather data
Pattern recognition based on statistical methods combined with machine learning in railway switches
An entropy framework for randomness and fuzziness
Belief interval-valued soft set
Cross-domain recommendation with Multi-Auxiliary Domains via Consistent and Selective Cluster-Level Knowledge Transfer
A switchable scheme for ECG beat classification based on independent component analysis
ROUND: Walking on an object-user heterogeneous network for personalized recommendations
Adaptive backstepping neural control for quadrotor UAVs under asymmetric state constraints and event-triggered mechanisms
Bridging modal gaps in multimodal sentiment analysis: a self-supervised text-guided fusion approach
A decentralized feedback mechanism with compromise behavior for large-scale group consensus reaching process with application in smart logistics supplier selection
EEMD method and WNN for fault diagnosis of locomotive roller bearings
Marginal rates of technical changes and impact in stochastic data envelopment analysis: An application in power industry
Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index - Case study of PETR4, Petrobras, Brazil
Genetic algorithm with iterated local search for solving a location-routing problem
An ultra-lightweight network combining Mamba and frequency-domain feature extraction for pavement tiny-crack segmentation
Quaternion statistics applied to the classification of motion capture data
An improved supervised term weighting scheme for text representation and classification
MetaUSACC: Unlabeled scene adaptation for crowd counting via meta-auxiliary learning
Lane-changing trajectory control strategy on fuel consumption in an iterative learning framework
Enabling secure image transmission in unmanned aerial vehicle using digital image watermarking with H-Grey optimization
Optimizing multi-dimensional terahertz imaging analysis for colon cancer diagnosis
A3N: An artificial neural network n-gram-based method to approximate 3-D polypeptides structure prediction
UIFDBC: Effective density based clustering to find clusters of arbitrary shapes without user input
Fuzzy cross entropy of interval-valued intuitionistic fuzzy sets and its optimal decision-making method based on the weights of alternatives
CODH++: Macro-semantic differences oriented instance segmentation network
Neural network embeddings on corporate annual filings for portfolio selection
Modelling and optimisation of two-sided disassembly line balancing problem with human-robot interaction constraints
Soil moisture forecast for smart irrigation: The primetime for machine learning
A three-stage DEA model to evaluate learning-teaching technical efficiency: Key performance indicators and contextual variables
Novel measures for linguistic hesitant Pythagorean fuzzy sets and improved TOPSIS method with application to contributions of system-of-systems
Individual, social, and organizational contexts for active knowledge sharing in communities of practice
Multi-grained adaptive informer for multi-step solar irradiance forecasting
An adaptive Grey-Markov model based on parameters Self-optimization with application to passenger flow volume prediction
Self-restrained contrastive enhanced network for graph structure learning
Graph attention-based neural collaborative filtering for item-specific recommendation system using knowledge graph
Corrigendum to "Using fuzzy theory and information entropy for water quality assessment in three Gorges region, China" [Expert Systems with Applications 37 (3) (2010) 2517-2521]
Ontology learning from biomedical natural language documents using UMLS
Optimal allocation of production quotas using an inverse DEA integrated with lean production capacity and negative data
Context-based online medical terminology navigation
A GRASP × ILS for the vehicle routing problem with time windows, synchronization and precedence constraints
Sustainable time-dependent intermodal hub-and-spoke logistic network considering hub failure: A mathematical model and a hybrid artificial bee colony algorithm
Pattern selection for support vector regression based response modeling
A multi-stage decision framework for managing hazardous waste logistics with random release dates
An Approach Driven Ranking System for Risky Gaits
Improving learning management through semantic web and social networks in e-learning environments
A survey on recent advances in Sign Language Production
P2P power trading based on reinforcement learning for nanogrid clusters
Spatial information aided speech and noise feature discrimination for Monaural speech enhancement
Deep learning enabled intrusion detection system for Industrial IOT environment
EEG-eye movement based subject dependence, cross-subject, and cross-session emotion recognition with multidimensional homogeneous encoding space alignment
Dual-graph regularized concept factorization for multi-view clustering
A decision support system for usability evaluation of web-based information systems
Multi level causal relation identification using extended features
An entropy-driven method for llm dataset evaluation and optimization
Evaluating tag filtering techniques for web resource classification in folksonomies
An efficient heuristic optimization-based fraudulent activities detection in the financial sector using adaptive machine learning and deep learning system
Failure prediction of dotcom companies using hybrid intelligent techniques
Car assembly line fault diagnosis based on triangular fuzzy Gaussian support vector classifier machine and modified genetic algorithm
User acceptance of computer-mediated communication: The SkypeOut case
A neural network grey model based on dynamical system characteristics and its application in predicting carbon emissions and energy consumption in China
The eCOMPASS multimodal tourist tour planner
A new intelligent system for senior executives to maintain remote control of their company
MLK-Net: Leveraging multi-scale and large kernel convolutions for robust skin lesion segmentation
CM-PHI: combining multi-hop attention graph neural network with sequence semantic analysis to predict phage-host interaction
A social balance theory-based modeling framework for group-to-empirical decision-making transition with cognitive inertia and trust propagation
Diagnosis of hypoglycemic episodes using a neural network based rule discovery system
Breast mass classification based on cytological patterns using RBFNN and SVM
Improving the performance of the BioHEL learning classifier system
Multi-cluster division fine-grained heterogeneous graph contrastive learning for multi-behavior recommendation
SPARSE: A symptom-based antipattern retrieval knowledge-based system using Semantic Web technologies
A novel intelligent service selection algorithm and application for ubiquitous web services environment
Retrieving memory as prompts for continual relation extraction
Robust exponential synchronization for uncertain spatio-temporal networks with multi-coupling: A delay-compensation impulsive control approach
A novel time-dependent electric vehicle pickup and delivery problem with time windows in cold supply chains
Predictive student model supported by fuzzy-causal knowledge and inference
A framework for event classification in tweets based on hybrid semantic enrichment
On optimal decision for QoS-aware composite service selection
YCFA-Net: A unified framework for vehicle detection and fire anomaly recognition in tunnel scenarios
Extreme learning machine model with honey badger algorithm based state-of-charge estimation of lithium-ion battery
A novel prediction model based on hierarchical characteristic of web site
Identifying firm-specific technology opportunities in a supply chain: Link prediction analysis in multilayer networks
Attention to multiple local critics in decision making and control
Forecasting innovation diffusion of products using trend-weighted fuzzy time-series model
Mixed experience sampling for off-policy reinforcement learning
An adaptive large neighborhood search heuristic for the flying sidekick traveling salesman problem with multiple drops
A proposal for an adaptive Recommender System based on competences and ontologies
A Block-based genetic algorithm for disassembly sequence planning
A survey on AI and decision support systems in psychiatry - Uncovering a dilemma
A real-time decision-making of maintenance using fuzzy agent
Topic model-based recommender systems and their applications to cold-start problems