yusuke1997/dblp-id-title huggingface dataset:
Taiwanese 3G mobile phone demand forecasting by SVR with hybrid evolutionary algorithms
Integrated decision support system for rich vehicle routing problems
Intelligent personal assistants: A systematic literature review
Real-time record sensitive background classifier (RSBC)
Product-cost modelling approach for the development of a decision support system for optimal roofing material selection
MLFD: Multi-level feature disentanglement robust network with a novel maximum-minimum algorithm for medical image recognition
Bi-objective optimization for scheduling of single-arm cluster tools with activity time variation
GAN-based synthetic time-series data generation for improving prediction of demand for electric vehicles
Jellyfish optimized recurrent neural network for state of health estimation of lithium-ion batteries
Baby cry recognition based on SLGAN model data generation and deep feature fusion
Point-of-interest recommendation model considering strength of user relationship for location-based social networks
Hyperspectral image classification using Second-Order Pooling with Graph Residual Unit Network
Organizational performance under conditions of vulnerability: A multi-agent perspective
The echo state conditional random field model for sequential data modeling
Generalized network-based dimensionality analysis
Efficient agglomerative hierarchical clustering
Sparseness reduction in collaborative filtering using a nearest neighbour artificial immune system with genetic algorithms
Multiresolution texture analysis of histopathologic images using ecological diversity measures
Impact of self-learning based high-frequency traders on the stock market
FlowTransformer: A transformer framework for flow-based network intrusion detection systems
A multi-objective decision-making process for reuse selection of historic buildings
Chaos particle swarm optimization and T-S fuzzy modeling approaches to constrained predictive control
Recognition of early phase of atherosclerosis using principles component analysis and artificial neural networks from carotid artery Doppler signals
A multifractal wavelet model for the generation of long-range dependency traffic traces with adjustable parameters
A convolutional-transformer reinforcement learning agent for rotating machinery fault diagnosis
FTUAttack: Feature truncation unrestricted attack based on stable diffusion model
A hybrid metaheuristic algorithm based on iterated local search for vehicle routing problem with simultaneous pickup and delivery
An agent-based simulation system for concert venue crowd evacuation modeling in the presence of a fire disaster
NeoDescriber: An image-to-text model for automatic style description of neoclassical architecture
Brain Computer Interface system based on indoor semi-autonomous navigation and motor imagery for Unmanned Aerial Vehicle control
A novel nonnegative matrix factorization-based model for attributed graph clustering by incorporating complementary information
Monocular visual semantic understanding system for real-time internal damage detection
Improving direct mail targeting through customer response modeling
A group decision-making method for public opinion response plans: Herd behavior and two-stage consensus-reaching
Bag of meta-words: A novel method to represent document for the sentiment classification
Improving the quality of Positive and Negative Samples based on Topological Analysis and Counterfactual Reasoning for Graph Contrastive Learning
SSPFusion: A semantic structure-preserving approach for multi-modality image fusion
LSNetv2: Improving weakly supervised power line detection with bipartite matching
A semantic vector space and features-based approach for automatic information filtering
Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming
An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications
Value allocation mechanism for multi-agent data sharing in digital innovation network: Agent-based modeling
Beyond-Skeleton: Zero-shot Skeleton Action Recognition enhanced by supplementary RGB visual information
A modified particle swarm optimization algorithm for a single-machine scheduling problem with periodic maintenance
Bank strategic asset allocation under a unified risk measure
Rule induction in data mining: effect of ordinal scales
A random fuzzy minimum spanning tree problem through a possibility-based value at risk model
Sarcasm detection framework using context, emotion and sentiment features
Mining frequent correlated graphs with a new measure
Rumor spreading model based on emotional characteristics and influence
Proposal of ontology for environmental impact assessment: An application with knowledge mobilization
Joint inverse analysis for instantaneous and creep deformation parameters of high rockfill dams based on surrogate models and improved multi-objective intelligent algorithm
Robot navigation in large-scale social maps: An action recognition approach
A systematic methodology to deal with the dynamics of customer needs in Quality Function Deployment
Improved state transition algorithm with variable-capacity archive for constrained multiobjective optimization
HGGC: A hybrid group recommendation model considering group cohesion
Air quality forecasting in non-monitored urban areas through machine and deep-learning model
In-situ recognition of hand gesture via Enhanced Xception based single-stage deep convolutional neural network
Expert system based controller for the high-accuracy automatic assembly of vehicle headlamps
An indoor air perception method to detect fungi growth in flats
An integrated simulation and AHP-entropy-based NR-TOPSIS method for automated container terminal layout planning
A customer satisfaction inventory model for supply chain integration
A network of ontology networks for building e-employment advanced systems
Deficiencies of the whale optimization algorithm and its validation method
Dynamic multi-period sparse portfolio selection model with asymmetric investors' sentiments
Decision making procedure of demand satisfaction and production policy for capacitated production systems
Unifying context with labeled property graph: A pipeline-based system for comprehensive text representation in NLP
The research on the critical success factors of knowledge management and classification framework project in the Executive Yuan of Taiwan Government
Three-dimensional reconstruction using SFM for actual pedestrian classification
An extended Exp-TODIM method for multiple attribute decision making based on the Z-Wasserstein distance
Collaborative optimization of ship scheduling and berth planning in a water-land transshipment mode with water discharge restrictions
aWESoME: A web service middleware for ambient intelligence
LBi-DBP, an accurate DNA-binding protein prediction method based lightweight interpretable BiLSTM network
Driver distraction analysis using face pose cues
Influence maximization considering fairness: A multi-objective optimization approach with prior knowledge
Building an expert travel agent as a software agent
Efficient algorithm for a novel pattern of time series
Data, language and graph-based reasoning methods for identification of human malicious behaviors in nuclear security
Data privacy and utility trade-off based on mutual information neural estimator
MRFMA: A hybrid paradigm integrating multi-receptive field network with mediator attention for 3D multi-organ segmentation
Learning states enhanced Knowledge Tracing: Simulating the diversity in real-world learning process
Surgical cases assignment problem using a multi-objective squirrel search algorithm
Air passenger demand forecasting and passenger terminal capacity expansion: A system dynamics framework
A heuristic master planning algorithm for supply chains that consider substitutions and commonalities
Corrigendum to "Discovering business intelligence from online product reviews: A rule-induction framework" [Expert Systems with Applications 39 (15) (2012) 11870-11879]
Effective utility mining with the measure of average utility
Prior-guided dual-stage diabetic retinopathy grading model based on feature collaboration of lesion and vascular structure
FWCMR: A scalable and robust fuzzy weighted clustering based on MapReduce with application to microarray gene expression
Web usage mining for analysing elder self-care behavior patterns
Innovation capital indicator assessment of Taiwanese Universities: A hybrid fuzzy model application
Formulating strategies for stakeholder management: a case-based reasoning approach
Detection of traumatic brain injuries using fuzzy logic algorithm
Semi-supervised learning using frequent itemset and ensemble learning for SMS classification
Multi-view sonar image generation via GAN trained with limited data for underwater object classification and detection
An integrated fuzzy AHP-ELECTRE methodology for environmental impact assessment
Comparison of multilabel classification models to forecast project dispute resolutions
Optimization of University Course Scheduling Problem using Particle Swarm Optimization with Selective Search
A hybrid recommendation technique based on product category attributes
The power of ensemble learning in sentiment analysis
Spherical-dynamic time warping - A new method for similarity-based remaining useful life prediction
An expert system to react to defective areas in nesting problems
A novel noise filter based on interesting pattern mining for bag-of-features images
A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities
Personness estimation for real-time human detection on mobile devices
Fault gear identification using vibration signal with discrete wavelet transform technique and fuzzy-logic inference
A multi-modal sensing based terrain identification approach for active lower limb exoskeletons
Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques
The mean-variance cardinality constrained portfolio optimization problem: An experimental evaluation of five multiobjective evolutionary algorithms
Data-driven heterogeneous ensemble forecasting framework incorporating multi-scale criteria
Spatial-temporal landslide susceptibility modeling in data-scarce areas: Utilizing recurrent neural networks and transfer learning
Brand marketing for creating brand value based on a MCDM model combining DEMATEL with ANP and VIKOR methods
Heuristics for solving an internet retailer's dynamic transshipment problem
A hybrid machine learning-optimization framework for modeling supply chain competitive pricing problem under social network advertising
RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model
Employing local modeling in machine learning based methods for time-series prediction
Evolutionary-modified fuzzy nearest-neighbor rule for pattern classification
Evaluating MFCC-based speaker identification systems with data envelopment analysis
An optimized multi-head attention based fused depthwise convolutional model for lung cancer detection
Bankruptcy prediction for Russian companies: Application of combined classifiers
Parameter-efficient online knowledge distillation for pretrained language models
Enhancing classification with hybrid feature selection: A multi-objective genetic algorithm for high-dimensional data
Attention-based hierarchical random graph model for structural inference of real-world networks
Incremental SVM based on reserved set for network intrusion detection
Unconstrained face identification using maximum likelihood of distances between deep off-the-shelf features
Modifications on base isolation design ranges through entropy-based classification
Protein functional class prediction with a combined graph
Fuzzy multiple goal programming applied to TFT-LCD supplier selection by downstream manufacturers
A multiple resolution branch attention neural network for scene understanding of intelligent autonomous platform
Kernel based nonlinear dimensionality reduction for microarray gene expression data analysis
A study of optimal weights of Data Envelopment Analysis - Development of a context-dependent DEA-R model
6DoF-3D: Efficient and accurate 3D object detection using six degrees-of-freedom for autonomous driving
Classification of scaled texture patterns with transfer learning
Distance transform based text-line extraction from unconstrained handwritten document images
Online masquerade detection resistant to mimicry
Competitive e-commerce platforms' data provision and pricing strategies with different attribution behaviors of users
Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation
New cuckoo search algorithms with enhanced exploration and exploitation properties
Bus routing fine-tuning for integrated network-based demand and bus bridging for a disrupted railway system
Detection and prevention of evasion attacks on machine learning models
Dual-branch counting method for dense crowd based on self-attention mechanism
Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer
An enhanced PSO algorithm for integrated irregular flight recovery with heterogeneity and multi-runway considerations
Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction
Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation
Evolutionary optimization of model specification searches between project management knowledge and construction engineering performance
New robust forecasting models for exchange rates prediction
Lost in PubMed. Factors influencing the success of medical information retrieval
Cloud computing in manufacturing: The next industrial revolution in Malaysia?
Knowledge Base component of Intelligent ALMM System based on the ontology approach
Analytic hierarchy process in transportation decision-making: A two-staged review on the themes and trends of two decades
A comprehensive survey of edge prediction in social networks: Techniques, parameters and challenges
Differential evolution with dynamic combination based mutation operator and two-level parameter adaptation strategy
Exploration of geo-tagged photos through data mining approaches
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19
An iterative approach for obtaining multi-scale superpixels based on stochastic graph contraction operations
RALLRec+: Retrieval augmented large language model recommendation with reasoning
MCELCCh-FDP: Financial distress prediction with classifier ensembles based on firm life cycle and Choquet integral
A profile of information systems research published in expert systems with applications from 1995 to 2008
VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network
A partitioned portfolio insurance strategy by a relational genetic algorithm
SCA-MADRL: Multiagent deep reinforcement learning framework based on state classification and assignment for intelligent shield attitude control
A new class of hybrid models for time series forecasting
An empirical study of the design choices for local citation recommendation systems
Find multi-objective paths in stochastic networks via chaotic immune PSO
A novel data repairing approach based on constraints and ensemble learning
AuthorNet: Leveraging attention-based early fusion of transformers for low-resource authorship attribution
Neural Networks to model the innovativeness perception of co-creative firms
Multiagent coordination for controlling complex and unstable manufacturing processes
A lean model for performance assessment of machinery using second generation wavelet packet transform and Fisher criterion
Substation reconfiguration selection algorithm based on PTDFs for congestion management and RL approach
Oversized ore segmentation using SAM-enhanced U-Net with self-supervised pre-training and semi-supervised self-training
Driving energy efficiency in scheduling manufacturing: An advanced instance generation and a metaheuristic approach
Modeling and solution for hybrid flow-shop scheduling problem by two-stage stochastic programming
The Affective Tutoring System
DPDEPSO: A particle swarm optimization for balancing different objectives in multi-objective feature selection
Theoretical entropy assessment of fingerprint-based Wi-Fi localization accuracy
Passenger non-driving related tasks detection using a light weight neural network based on human prior knowledge and soft-hard feature constraints
Learning and aggregating principal semantics for semantic edge detection in images
An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm
Proactive-BiLSTM: Glaucoma detection using FUNDUS and OCT retinal images
Adaptive fuzzy sliding mode control for electro-hydraulic servo mechanism
Rolling discrete grey periodic power model with interaction effect under dual processing and its application
Comparing Natural Language Processing and Quantum Natural Processing approaches in text classification tasks
Dynamic learnable degradation for blind super-resolution
SST clustering for winter precipitation prediction in southeast of Iran: Comparison between modified K-means and genetic algorithm-based clustering methods
Integrated fuzzy decision-making methodology with intuitionistic fuzzy numbers: An application for disaster preparedness in clinical laboratories
Intelligent risk management system for enhancing performance of stock market applications
Constructing a user similarity network to remove adverse influence of popular objects for personalized recommendation
Determination of thermal efficiency of air ETSC-PCM using artificial neural network technique
Mathematical model formulation and hybrid metaheuristic optimization approach for near-optimal blood assignment in a blood bank system
Piracema.io: A rules-based tree model for phishing prediction
Fuzzy-soft set approach for ranking the functional requirements of software
EARR: Using rules to enhance the embedding of knowledge graph
SS-RDHEI for embedding capacity enhancement by PDPM and auxiliary data free coding
Three-dimensional UCAV path planning using a novel modified artificial ecosystem optimizer
Green artificial intelligence for cost-duration variance prediction (CDVP) for irrigation canals rehabilitation projects
Daily long-term traffic flow forecasting based on a deep neural network
A polarization-based dehazing method leveraging multi-angle DoP distribution and dual constraints
A hybrid estimation of distribution algorithm for solving the resource-constrained project scheduling problem
Designing dispatching rules with genetic programming for the unrelated machines environment with constraints
A new proximity metric based on optimality conditions for single and multi-objective optimization: Method and validation
Real-time detection system for polishing metal surface defects based on convolutional feature concentration and activation network
Detecting driver drowsiness using feature-level fusion and user-specific classification
Risk prioritization in Failure Mode and Effects Analysis using interval type-2 fuzzy sets
Radar emitter recognition based on cyclostationary signatures and sequential iterative least-square estimation
One DEA ranking method based on applying aggregate units
Improved network anomaly detection system using optimized autoencoder - LSTM
LaneScanNET: A deep-learning approach for simultaneous detection of obstacle-lane states for autonomous driving systems
A new safe lane-change trajectory model and collision avoidance control method for automatic driving vehicles
An integrated method to plan, structure and validate a business strategy using fuzzy DEMATEL and the balanced scorecard
An intelligent negotiator agent design for bilateral contracts of electrical energy
Feature-Weighted Counterfactual-Based Explanation for Bankruptcy Prediction
An improved two-phase heuristic for active multistatic sonar network configuration
A multi-agent reinforcement learning algorithm with the action preference selection strategy for massive target cooperative search mission planning
Influential nodes in ray cluster hypergraph networks
Framework for preserving security and privacy in peer-to-peer content distribution systems
Personal Protection Equipment detection system for embedded devices based on DNN and Fuzzy Logic
A real-time CNN-BiLSTM-based classifier for patient-centered AR-SSVEP active rehabilitation exoskeleton system
An integrated system to significant wave height prediction: Combining feature engineering, multi-criteria decision making, and hybrid kernel density estimation
A novel forged blurred region detection system for image forensic applications
A novel dependency-oriented mixed-attribute data classification method
Ensemble forecasting of Value at Risk via Multi Resolution Analysis based methodology in metals markets
An effective relation-first detection model for relational triple extraction
A triplet dictionary-driven learning and uncertainty-aware fusion for remote sensing image-text retrieval
Problem-oriented CBR: Finding potential problems from lead user communities
A unified model for context-based behavioural modelling and classification
DLSF: Deep learning and semantic fusion based recommendation system
Forecasting green bond volatility via novel heterogeneous ensemble approaches
GMRVV m -SVR model for financial time series forecasting
Bridging the simulation-to-real gap of depth images for deep reinforcement learning
Dynamic noise filtering for multi-class classification of beehive audio data
An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks
Granulating linguistic information in decision making under consensus and consistency
Examining multi-category cross purchases models with increasing dataset scale - An artificial neural network approach
New graph-based algorithms to efficiently solve large scale open pit mining optimisation problems
No more privacy Concern: A privacy-chain based homomorphic encryption scheme and statistical method for privacy preservation of user's private and sensitive data
FedACE: A Federated Adaptive Components Exfoliation method for medical image segmentation in non-IID scenarios
Least squares support vector machines with tuning based on chaotic differential evolution approach applied to the identification of a thermal process
A novel short receptive field based dilated causal convolutional network integrated with Bidirectional LSTM for short-term load forecasting
Fast sampling methods for Bayesian max-margin models
DarLoc: Deep learning and data-feature augmentation based robust magnetic indoor localization
A causality- and Frequency-Aware deep learning framework for wave elevation prediction behind floating breakwaters
Exploiting personalized calibration and metrics for fairness recommendation
Authenticating the writings of Julius Caesar
A multi-objective neural network based method for cover crop identification from remote sensed data
Performance based stratification and clustering for benchmarking of container terminals
A novel hybrid fuzzy-metaheuristic approach for multimodal single and multi-objective optimization problems
Zero-Sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning
A review on sentiment analysis from social media platforms
Automatic timbre quality evaluation in Chinese traditional flute industry
Modeling and optimization of multi-objective programming problems in intuitionistic fuzzy environment: Optimistic, pessimistic and mixed approaches
Securing high resolution grayscale facial captures using a blockwise coevolutionary GA
Data to intelligence: The role of data-driven models in wastewater treatment
An Intelligent Decision System for Debugging Engine Fuel Regulators
Quasi-synchronization of stochastic heterogeneous networks via intermittent pinning sampled-data control