yusuke1997/dblp-id-title huggingface dataset:
Enhanced ELECTRE II method with 2-tuple linguistic m-polar fuzzy sets for multi-criteria group decision making
A multi-objective evolutionary algorithm for a class of mean-variance portfolio selection problems
Global feature identification layer for mixed-type wafer bin map classification
Crossover Teaching Learning Based Optimization for channel estimation in MIMO system
CoTEL-D3X: A chain-of-thought enhanced large language model for drug-drug interaction triplet extraction
Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services
Description and prediction of time series: A general framework of Granular Computing
DEPFSWNN: A data-driven efficient pruning feedforward small-world neural network as a virtual sensor for total phosphorus in wastewater treatment process
Benchmarking Answer Set Programming systems for resource allocation in business processes
Deep submodular network: An application to multi-document summarization
Decision modeling and analysis in new product development considering supply chain uncertainties: A multi-functional expert based approach
Technological opportunity discovery based on VERGM and random forest model
Facial expression distribution prediction based on surface electromyography
Optimization of selective maintenance problem with stochastic durations in mission-oriented system subjecting to s-dependent competing risks
Automated generation of computationally hard feature models using evolutionary algorithms
Deciphering circRNA-drug sensitivity associations via global-local heterogeneous matrix factorization and hypergraph contrastive learning
Capsule networks for intelligent fault diagnosis: a roadmap of recent advancements and challenges
A semantic approach to improve neighborhood formation in collaborative recommender systems
MSGCN-ISTL: A multi-scaled self-attention-enhanced graph convolutional network with improved STL decomposition for probabilistic load forecasting
Supervised discretization of continuous-valued attributes for classification using RACER algorithm
Fuzzifying Gini Index based decision trees
A collaborative evolution algorithm for unmanned equipment project distributed scheduling optimization with grouping and due window constraints
A novel facial emotion recognition method for stress inference of facial nerve paralysis patients
A binary fuzzy goal programming model with fuzzy parameters to select the fruits and vegetables market hall location for Istanbul
Optimized neural network combined model based on the induced ordered weighted averaging operator for vegetable price forecasting
BioDynGrap: Biomedical event prediction via interpretable learning framework for heterogeneous dynamic graphs
AGSRec: Mitigating popularity bias via attraction-aware graph and semantic enhancement for POI recommendations
Semi-supervised named entity recognition with data augmentation by structured consistency training
LEGN: A large language model-guided event graph network for intraoperative hypotension prediction
Working at the web search engine side to generate privacy-preserving user profiles
Resource selection in computational grids based on learning automata
Expert system development for vibration analysis in machine condition monitoring
Ancient handwriting attribution via spectroscopic benchmarks and machine learning: ' Clavis Prophetarum ' by Antonio Viera
Age of information minimization in UAV-assisted data harvesting networks by multi-agent deep reinforcement curriculum learning
A relax-and-round optimization algorithm for online NUMA-aware virtual machine placement
Blockchain technology empowers the crowdfunding decision-making of marine ranching
Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP
Decision diagrams in machine learning: an empirical study on real-life credit-risk data
ROPAC: Rule OPtimized Aggregation Classifier
Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey
Knowledge-enhanced Chinese multimodal hate speech detection
Ant colony-based algorithm for constructing broadcasting tree with degree and delay constraints
Fast adaptive motion estimation algorithm and its efficient VLSI system for high definition videos
Optimizing outpatient appointment system using machine learning algorithms and scheduling rules: A prescriptive analytics framework
Agent-based error prevention algorithms
A lane-level localization method via the lateral displacement estimation model on expressway
Cybersecurity maturity assessment using an incomplete hesitant fuzzy AHP method and Bonferroni means operator
On estimating simple probabilistic discriminative models with subclasses
BEV perception for autonomous driving: State of the art and future perspectives
Computer assisted writing system
MVDF-RSC: Multi-view data fusion via robust spectral clustering for geo-tagged image tagging
A forward-looking matheuristic approach for the multi-period two-dimensional non-guillotine cutting stock problem with usable leftovers
Blue monkey updated chimp optimization algorithm for enhanced load balancing model
An extended weak aggregating algorithm for a two dimensional data-driven multi-stage newsvendor problem
Text mining for market prediction: A systematic review
Competing leaders grey wolf optimizer and its application for training multi-layer perceptron classifier
Corrigendum to "Region-based image retrieval system with heuristic pre-clustering relevance feedback" [Expert Systems with Applications 37 (7) (2010) 4984-4998]
Diff-ZsVQA: Zero-shot Visual Question Answering with Frozen Large Language Models Using Diffusion Model
Mitigation of greenhouse gas emissions in vehicle routing problems with backhauling
AGFSM: An new FSM based on adapted Gaussian membership in case retrieval model for customer-driven design
FluidsNet: End-to-end learning for Lagrangian fluid simulation
A semi-automated filtering technique for software process tailoring using neural network
CHR++: An efficient CHR system in C++ with don't know non-determinism
Applying multi-agent technique in multi-section flexible manufacturing system
An adaptive neighborhood-based search enhanced artificial ecosystem optimizer for UCAV path planning
Identification of activities of daily living in tremorous patients using inertial sensors
Ranking decision making units with large set of highly correlated performance indicators: A method based on Gram-Schmidt process
I3-YOLOv8s: An improved YOLOv8s for infrequent irregular imbalanced detection and segmentation of rape stomata
A GA-Tabu algorithm for scheduling in-line steppers in low-yield scenarios
Optimized relative entropy for robust fault detection in excavator traveling gearboxes via smeared envelope spectrum analysis of cyclo-non-stationary signals
An information theoretic sparse kernel algorithm for online learning
Discovering patterns of missing data in survey databases: An application of rough sets
Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM
DUEN: Dynamic ensemble handling class imbalance in network intrusion detection
Local ternary pattern based multi-directional guided mixed mask (MDGMM-LTP) for texture and material classification
Generating survey draft based on closeness of position distributions of key words
A constrained multi-objective optimization algorithm based on coordinated strategy of archive and weight vectors
Highway autonomous vehicle decision-making method based on prior knowledge and improved experience replay reinforcement learning algorithm
Inverse data envelopment analysis for operational planning: The impact of oil price shocks on the production frontier
A gene selection method for microarray data based on risk genes
Wavelet-based logistic discriminator of dermoscopy images
Special issue on intelligent information systems for financial engineering
Towards intelligent photo composition-automatic detection of unintentional dissection lines in environmental portrait photos
Feature enrichment imitative reinforcement learning for high-frequency trading
A particle swarm optimization algorithm for open vehicle routing problem
Evolution-based energy-efficient data collection system for UAV-supported IoT: Differential evolution with population size optimization mechanism
Supplier selection using AHP methodology extended by D numbers
Automated diagnosis of schizophrenia using EEG microstates and Deep Convolutional Neural Network
Nested partitions method for assembly sequences merging
A novel rumor detection with multi-objective loss functions in online social networks
Novel deep learning methods for 3D flow field segmentation and classification
A semantic overlapping community detection algorithm based on field sampling
An imbalance-aware BiLSTM for control chart patterns early detection
Integration of fuzzy logic and a convolutional neural network in three-way decision-making
Measuring saliency of features representing EEG signals using signal-to-noise ratios
A configuration approach to build supply chain resilience: From matching perspective
Real-time embedded eye detection system
A hybrid control topology for cascaded H-bridge multilevel inverter to improve the power quality of smart grid connected system: NBO-RERNN approach
Path planning of mobile robots in dynamic environment based on analytic geometry and cubic Bézier curve with three shape parameters
GovGraph: Unveiling social governance innovation networks with an integrated model framework and diverse data for link prediction
FFEvent: Fast fourier-based knowledge transfer for event cameras
An analysis of "A feature reduced intrusion detection system using ANN classifier" by Akashdeep et al. expert systems with applications (2017)
Path-scan: A novel clustering algorithm based on core points and connexity
An adaptive fuzzy information retrieval model to improve response time perceived by e-commerce clients
CSFIN: A lightweight network for camouflaged object detection via cross-stage feature interaction
An integrated decision-making framework to evaluate the route alternatives in overweight/oversize transportation
A novel approach to anomaly detection in critical CPSs: The ERXAI-MS algorithm
A novel graph-attention based multimodal fusion network for joint classification of hyperspectral image and LiDAR data
Carbon tax for energy-intensive enterprises: A study on carbon emission reduction strategies
Multi-level fuzzy mining with multiple minimum supports
An improved multi-operator differential evolution via a knowledge-guided information sharing strategy for global optimization
Principal component analysis-based control charts for multivariate nonnormal distributions
Application of Modified Bacterial Foraging Optimization algorithm for optimal placement and sizing of Distributed Generation
A fuzzy GARCH model applied to stock market scenario using a genetic algorithm
TPH-SMOTE: A tri-process heuristic oversampling approach integrating SMOTE and whale optimization for imbalanced binary classification
Pavement performance prediction through fuzzy regression
TSGCNeXt: Dynamic-Static Multi-graph Convolution for efficient skeleton-based action recognition
Multi-hop commonsense knowledge injection framework for zero-shot commonsense question answering
SVNN-ANFIS approach for stability evaluation of open-pit mine slopes
Algorithms for the analysis of polysomnographic recordings with customizable criteria
Federated transfer learning-based intrusion detection system in 5G networks
A new method for computing fuzzy functional dependencies in relational database systems
Mixed reality versatile platform for intraoperative navigation of craniomaxillofacial plastic surgery
Economic implications of enhanced stock market analysis using improved forecasting methods
An implementation of bi-phase network intrusion detection system by using real-time traffic analysis
An ensemble model using temporal convolution and dual attention gated recurrent unit to analyze risk of civil aircraft
A new approach for selecting portfolio of new product development projects
IC points weight learning-based GCN and improving feature distribution for industrial fault diagnosis
Supplementing domain knowledge to BERT with semi-structured information of documents
Risk identification and influence analysis model for urban energy internet based on knowledge graph improved decision-making trial and evaluation laboratory
An improved Opposition-Based Sine Cosine Algorithm for global optimization
Multiple surrogates-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization with adaptive diffusion map
Indoor scenario-based UWB anchor placement optimization method for indoor localization
Fuzzy cluster based neural network classifier for classifying breast tumors in ultrasound images
Corrigendum to "A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG" [Expert Systems with Applications. 223 (2023), 119736]
Case-base maintenance of a personalised and adaptive CBR bolus insulin recommender system for type 1 diabetes
An ultra-low-computation model for understanding sign languages
Two-stage approach to feature set optimization for unsupervised dataset with heterogeneous attributes
Making sense of organization dynamics using text analysis
A fusion method based on Deep Learning and Case-Based Reasoning which improves the resulting medical image segmentations
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning
Improved fuzzy control charts for monitoring defined health ranges using trapezoidal fuzzy numbers
A schema and ontology-aided intelligent information integration
Integrating heterogeneous structures and community semantics for unsupervised community detection in heterogeneous networks
People re-identification using depth and intensity information from an overhead camera
Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
Large scale analysis of open MOOC reviews to support learners' course selection
Exploring biomedical relation extraction by combining natural language inference and dual dependency trees
Fast online computation of the Qn estimator with applications to the detection of outliers in data streams
Estimation of concrete strength using thermography integrated with deep-learning-based image segmentation: Case studies and economic analysis
Automated trading with performance weighted random forests and seasonality
Sensing the city with Instagram: Clustering geolocated data for outlier detection
Extracting social laws from unilateral binary constraint relation topologies in multiagent systems
EGFE-Net: An edge-guided and feature elimination network for small object detection
Semi-global triangular centrality measure for identifying the influential spreaders from undirected complex networks
Nonparametric estimation and forecasting of interval-valued time series regression models with constraints
Algorithmic trading using continuous action space deep reinforcement learning
Fusion-driven fault diagnosis based on adaptive tuning feature mode decomposition and synergy graph enhanced transformer for bearings under noisy conditions
A comparative analysis, enhancement and evaluation of text anonymization with pre-trained Large Language Models
Development of technology predicting based on EEMD-GRU: An empirical study of aircraft assembly technology
A logical analysis of banks' financial strength ratings
Searching and ranking method of relevant resources by user intention on the Semantic Web
Analysis and prediction of the Horizon 2020 R&D&I collaboration network
Multi objective association rule mining with genetic algorithm without specifying minimum support and minimum confidence
Extended VIKOR method using incomplete criteria weights
Practical single-line diagram recognition based on digital image processing and deep vision models
New look at the inconsistency analysis in the pairwise-comparisons-based prioritization problems
Multiple documents summarization based on evolutionary optimization algorithm
Saliency and boundary guided segmentation framework for cell counting in microscopy images
Using data mining to improve assessment of credit worthiness via credit scoring models
Towards staircase navigation and maintenance using self-reconfigurable service robot
SugarNet: Personalized blood glucose forecast with a Fourier Kolmogorov-Arnold network
Applying wavelets transform, rough set theory and support vector machine for copper clad laminate defects classification
A neighbour-similarity based community discovery algorithm
Mobile localization based on online solution of linear matrix-vector equations using inverse-free acceleration-layer Zhang neurodynamics
On the spectrum of achievable targets in cross-efficiency evaluation and the associated secondary goal models
MambaGen: Efficient visual representation learning for automatic radiology report generation
A multi-objective ant colony system algorithm for flow shop scheduling problem
MMKLTrack: Illumination-robust UAV tracking with progressive localization
A robust clustering algorithm based on the identification of core points and KNN kernel density estimation
2D facial landmark model design by combining key points and inserted points
Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model
Allocation of short-term jobs to unemployed citizens amid the global economic downturn using genetic algorithm
Email thread sentiment sequence identification using PLSA clustering algorithm
Emotional speaker identification using a novel capsule nets model
Public transportation business model evaluation with Spherical and Intuitionistic Fuzzy AHP and sensitivity analysis
A parallel dual-type algorithm for a class of quadratic programming problems and applications
Marking the Close analysis in Thai Bond Market Surveillance using association rules
A multimodal dual-branch fusion network for fetal hypoxia detection
Supporting teachers in adaptive educational systems through predictive models: A proof of concept
Contour diagram fuzzy model for maximum surface ozone prediction
Rule base reduction for knowledge-based fuzzy controllers with application to a vacuum cleaner
Learning adaptive Grassmann neighbors for image-set analysis
Homophone-aware offensive language detection via semantic-phonetic collaboration
An integrated group decision making model and its evaluation by DEA for automobile industry
Recommender System to Analyze Student's Academic Performance
Building a contextual dimension for OLAP using textual data from social networks
The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach
M4SFWD: A Multi-Faceted synthetic dataset for remote sensing forest wildfires detection
Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies
LARGE: A leadership perception framework for group recommendation
Multi-attribute decision making on mitigating a collision of an autonomous vehicle on motorways
Neural trees with peer-to-peer and server-to-client knowledge transferring models for high-dimensional data classification
Fuzzy regression analysis based on M-estimates
Multiple teachers are beneficial: A lightweight and noise-resistant student model for point-of-care imaging classification
Optimizing job release and scheduling jointly in a reentrant hybrid flow shop
Flexible management of repetitive construction processes by an intelligent support system
Modeling of electrical resistivity of soil based on geotechnical properties
Clustering stock price time series data to generate stock trading recommendations: An empirical study
A semantic framework for textual data enrichment
Business transaction recommendation for discovering potential business partners using deep learning
An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Golden-Sine dynamic marine predator algorithm for addressing engineering design optimization
A sequential MAE-clustering self-supervised learning method for arrhythmia detection
Exploring relations between EMG and biomechanical data recorded during a golf swing
Reusable generator data-free knowledge distillation with hard loss simulation for image classification
Optimizing time limits for maximum sales response in Internet shopping promotions
Integrating topology and content equally in non-negative matrix factorization for community detection
Detection of review spam: A survey
Stochastic reserving with a stacked model based on a hybridized Artificial Neural Network
Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset
Fractal pooling: A new strategy for texture recognition using convolutional neural networks
H-HRGAN: knowledge graph-driven representation for missing value imputation
Error Density-dependent Empirical Risk Minimization
Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory
Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment
A sustainable supply chain for a wellness tourism center considering discount and quality of service
A GUI for Jess
A new benchmark dataset and mixture-of-experts language models for adversarial natural language inference in Vietnamese
A multi-model approach to the development of algorithmic trading systems for the Forex market
Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks
Hand gesture recognition via enhanced densely connected convolutional neural network
Decision support systems for time-varying biomedical signals: EEG signals classification
Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models
Spatiotemporal features of traffic help reduce automatic accident detection time
Tensor decompositions for temporal knowledge graph completion with time perspective
Designing porthole aluminium extrusion dies on the basis of eXplainable Artificial Intelligence
Handling partial truth on type-2 similarity-based reasoning
AILS: A budget-constrained adaptive iterated local search for workflow scheduling in cloud environment
3C-GNN: Three-channel contrastive graph neural network for semi-supervised node classification
MirageNet: improving the network performance of image understanding with very low FLOPs
A real-time anchor-free defect detector with global and local feature enhancement for surface defect detection
A hybrid genetic algorithm for a home health care routing problem with time window and fuzzy demand
Instant customer base analysis in the financial services sector
Chronos: A multi-agent system for distributed automatic meeting scheduling
An invisible and robust watermarking scheme using convolutional neural networks
Self-supervised incomplete cross-modal hashing retrieval
Object-oriented knowledge framework for modelling human mastication of foods
ESTDD: Expert system for thyroid diseases diagnosis
Assessing business impacts of agility criterion and order allocation strategy in multi-criteria supplier selection
Optimization of CNN using modified Honey Badger Algorithm for Sleep Apnea detection
A Spatiotemporal Graph Neural Network for session-based recommendation
Disease spreading in complex networks: A numerical study with Principal Component Analysis
Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations
Artificial intelligence-based decision support model for new drug development planning
LatLRR for subspace clustering via reweighted Frobenius norm minimization
Approach for aggregating interval-valued intuitionistic fuzzy information and its application to reservoir operation
Modelling of a vertical ground coupled heat pump system by using artificial neural networks
Power load forecasting using support vector machine and ant colony optimization