yusuke1997/dblp-id-title huggingface dataset:
A fuzzy multi-criteria decision making model for supplier selection
Using Temporal Convolutional Networks to estimate ball possession in soccer games
ARLO: A framework for Automated Reinforcement Learning
Label-guided graph contrastive learning for semi-supervised node classification
The capacitated minimum spanning tree problem with arc time windows
Mitigating reasoning hallucination through Multi-agent Collaborative Filtering
Incorporating topic transition in topic detection and tracking algorithms
A proposed validation framework for expert elicited Bayesian Networks
REN-GAN: Generative adversarial network-driven rebar clutter elimination network in GPR image for tunnel defect identification
An Edge-Guided SAM for effective complex object segmentation
Automated structural equation modeling through micro-scale searching
Are Graphs and GCNs necessary for short-term metro ridership forecasting?
FedPA: Property-aware federated learning for cellular traffic prediction
Machine learning models and bankruptcy prediction
Facial expression recognition - A real time approach
Multimodal Quantum-inspired Network for Emotion Recognition
A two-stage self-learning Jaya algorithm for the unmanned aerial vehicle scheduling problem under conflicting battlefield cargoes features
On combining classifiers through a fuzzy multicriteria decision making approach: Applied to natural textured images
Collaborative filtering based on workflow space
Developing a CBR-based adjudication system for fatal construction industry occupational accidents. Part I: Building the system framework
A study of academic performance of business school graduates using neural network and statistical techniques
MultiWaveNet: A long time series forecasting framework based on multi-scale analysis and multi-channel feature fusion
Using social network analysis to prevent money laundering
A simplified binary harmony search algorithm for large scale 0-1 knapsack problems
Determination of scrap/supply probability curves for the mechanical properties of aluminium alloys in hot extrusion using a neural network-like approach
A two-stream-network based steganalysis network: TSNet
A novel community development algorithm and its application to optimize main steam temperature of supercritical units
A framework to select heuristics for the rectangular two-dimensional strip packing problem
A decision support system for real-time order management in a heterogeneous production environment
COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs
CATNet: Coordinate-aware transformer for all-in-one image restoration
Genetic algorithm for S-transform optimisation in the analysis and classification of electrical signal perturbations
MCRMR: Maximum coverage and relevancy with minimal redundancy based multi-document summarization
Group-of-features relevance in multinomial kernel logistic regression and application to human interaction recognition
A fresh view on Least Quantile of Squares Regression based on new optimization approaches
Some non-linear models to predict the weathering degrees of a granitic rock from physical and mechanical parameters
A new feature set with new window techniques for customer churn prediction in land-line telecommunications
Applying the JBOS reduction method for relevant knowledge extraction
Pricing game between repair-and-support ships and shipyards under multiple repair tasks on a remote ocean
Multi-depot collaborative electric vehicle routing problem with heterogeneous fleet
A modelling and optimization system for fluidized bed power plants
Interpretable ontology meta-matching in the biomedical domain using Mamdani fuzzy inference
Forecasting enrollments using automatic clustering techniques and fuzzy logical relationships
An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management
A Tri-evolutionary mechanism with information interaction of differential evolution for hyperspectral band selection
Decision making towards large-scale alternatives from multiple online platforms by a multivariate time-series-based method
Task-based K -Support system: disseminating and sharing task-relevant knowledge
A multi-objective genetic optimization for spectrum sensing in cognitive radio
Fuzzy data envelopment analysis: A fuzzy expected value approach
NOHAR - NOvelty discrete data stream for Human Activity Recognition based on smartphones with inertial sensors
Surface defects 3D localization for fluorescent magnetic particle inspection via regional reconstruction and partial-in-complete point clouds registration
Self-paced learning-assisted regularization reconstruction method with data-adaptive prior for electrical capacitance tomography
On the impact of fuzzy-logic based BDI agent model for cyber-physical systems
Multi-objective sparse synthesis optimization of concentric circular antenna array via hybrid evolutionary computation approach
NCPLS-ViT: Enhancing Vision transformer with nested patch scheduling for cervical cancer classification through contrastive Self-Supervised learning
Attention-based CNN-LSTM for high-frequency multiple cryptocurrency trend prediction
Sparse nonnegative matrix factorization for protein sequence motif discovery
ExSelfRL: An exploration-inspired self-supervised reinforcement learning approach to molecular generation
Deep transfer learning approaches for Monkeypox disease diagnosis
Financial time series prediction using polynomial pipelined neural networks
A denoising method based on the nonlinear relationship between the target variable and input features
VeriCNN: Integrity verification of large-scale CNN training process based on zk-SNARK
On the dynamic evidential reasoning algorithm for fault prediction
MDA + RRT: A general approach for resolving the problem of angle constraint for hyper-redundant manipulator
The simplified solution procedures for the optimal replenishment decisions under two levels of trade credit policy depending on the order quantity in a supply chain system
Informed anytime Bi-directional Fast Marching Tree for optimal motion planning in complex cluttered environments
Feature subset selection using differential evolution and a statistical repair mechanism
MEConformer: Highly representative embedding extractor for speaker verification via incorporating selective convolution into deep speaker encoder
Evaluation of effect of coal chemical properties on coal swelling index using artificial neural networks
Embedding-based real-time change point detection with application to activity segmentation in smart home time series data
Fusion of systems for automated cell phenotype image classification
Expert system for extracting syntactic information from Java code
Development of an expert system for fault diagnosis in scooter engine platform using fuzzy-logic inference
Application of evolutionary optimisers in data-based calibration of Activated Sludge Models
Motion sickness prediction in intelligent electric vehicles using collaborative subjective-objective data fusion
GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion
Sparse and collaborative representation based kernel pairwise linear regression for image set classification
A modified genetic algorithm for quay crane scheduling operations
Creating meaningful data from web logs for improving the impressiveness of a website by using path analysis method
Hybridizing a multi-objective simulated annealing algorithm with a multi-objective evolutionary algorithm to solve a multi-objective project scheduling problem
A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop
A robust home health care routing-scheduling problem with temporal dependencies under uncertainty
Emotional generative adversarial network for image emotion transfer
Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response
EfficientFaceV2S: A lightweight model and a benchmarking approach for drone-captured face recognition
Comparison of regression tree data mining methods for prediction of mortality in head injury
Manufacturer's selling mode choice in a platform-oriented dual channel supply chain
Bridging the gap: Active learning for efficient domain adaptation in object detection
Computational reputation model based on selecting consensus choices: An empirical study on semantic wiki platform
A two-stage health prognostics with spatiotemporal feature representation and uncertainty quantification for bearings
A Faster R-CNN and recurrent neural network based approach of gait recognition with and without carried objects
Multirobot unknown environment exploration and obstacle avoidance based on a Voronoi diagram and reinforcement learning
Technology licensing contract design considering royalty transparency and demand information asymmetry with downstream co-opetition
POSIMNET-R: An immunologic resilient approach to position routers in Industrial Wireless Sensor Networks
Improved subspace clustering algorithm using multi-objective framework and subspace optimization
The performance of ELM based ridge regression via the regularization parameters
RDDM: Reactive drift detection method
Over-complete feature generation and feature selection for biometry
An improved grey dynamic trend incidence model with application to factors causing smog weather
Mining customer product reviews for product development: A summarization process
Bi-level multi-objective traffic network optimisation with sustainability perspective
A knowledge-based risk management tool for construction projects using case-based reasoning
Improved dwarf mongoose optimization algorithm using novel nonlinear control and exploration strategies
EMOCSO: an efficient multi-objective competitive swarm optimizer for large-scale optimization
Solving the integrated product mix-outsourcing problem using the Imperialist Competitive Algorithm
A contract net based intelligent agent system for solving the reactive hoist scheduling problem
Multi-resolution consistency semi-supervised active learning framework for histopathology image classification
A comprehensive survey on applications of transformers for deep learning tasks
An extended QFD planning model for selecting design requirements with longitudinal effect consideration
Attitude control of a quadrotor using PID controller based on differential evolution algorithm
Assessing new product development project risk by Bayesian network with a systematic probability generation methodology
Dual-templates transferred canonical correlation analysis for cross-subject SSVEP-based BCIs
Complex relationship graph abstraction for autonomous air combat collaboration: A learning and expert knowledge hybrid approach
Optimization enabled Deep Quantum Neural Network for weed classification and density estimation
A genetic strategy to design cellular automata based block ciphers
A multi-objective genetic algorithm based on two-stage reinforcement learning for green flexible shop scheduling problem considering machine speed
Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
Enhanced Gabor (E-Gabor), Hypersphere-based normalization and Pearson General Kernel-based discriminant analysis for dimension reduction and classification of facial emotions
An improved electromagnetism-like mechanism algorithm for constrained optimization
Analysis of traffic accident severity using Decision Rules via Decision Trees
A variational PDNet network using a learning reaction-diffusion equation
A self tuning model for risk estimation
Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall
Integration of Adaptive Neuro Fuzzy Inference Systems and principal component analysis for the control of tertiary scale formation on tinplate at a hot mill
A comprehensive analysis of the causal factors in repair, maintenance, alteration, and addition works: A novel hybrid fuzzy-based approach
CSSE - An agnostic method of counterfactual, selected, and social explanations for classification models
Quadratic interpolation and a new local search approach to improve particle swarm optimization: Solar photovoltaic parameter estimation
Diagnosis of chest diseases using artificial immune system
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting
A PSO based optimal switching technique for voltage harmonic reduction of multilevel inverter
Lightly trained support vector data description for novelty detection
Global robust passivity analysis for stochastic fuzzy interval neural networks with time-varying delays
Hybrid filter-wrapper feature selection using whale optimization algorithm: A multi-objective approach
Supporting scientific knowledge discovery with extended, generalized Formal Concept Analysis
A knowledge-based inference multicast protocol using adaptive fuzzy Petri nets
A decision support tool for apparel coordination through integrating the knowledge-based attribute evaluation expert system and the T-S fuzzy neural network
A prediction method for post-earthquake performance of high-speed railway bridges with embedded uncertainty
Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions
Integrating social network analysis with analytic network process for international development project selection
Portfolio formation with preselection using deep learning from long-term financial data
Corrigendum to "Designing an integrated AHP based decision support system for supplier selection in automotive industry" Expert Systems with Applications 62 (2016) 273-283
Ensemble machine learning-based models for estimating the transfer length of strands in PSC beams
Evaluation of third-party logistics service providers for car manufacturing firms using a novel integrated grey LOPCOW-PSI-MACONT model
Optimal control of Boolean control networks with state-triggered impulses
Syntax- and semantic-based reordering in hierarchical phrase-based statistical machine translation
A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation
Learning-based systems for assessing hazard places of contagious diseases and diagnosing patient possibility
Discrete techniques applied to low-energy mobile human activity recognition. A new approach
Recovery of drawing order from multi-stroke English handwritten images based on graph models and ambiguous zone analysis
Words of War: A hybrid BERT-CNN approach for topic-wise sentiment analysis on The Russia-Ukraine War
Multiscale quantum harmonic oscillator optimization algorithm with multiple quantum perturbations for numerical optimization
TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition
Customized bus route design with pickup and delivery and time windows: Model, case study and comparative analysis
Mining human movement evolution for complex action recognition
A novel intuitionistic fuzzy clustering method for geo-demographic analysis
A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design
Maximizing influence by combining influential node identification and overlapping influence reduction
Abrupt change detection with One-Class Time-Adaptive Support Vector Machines
Partial discharge pattern recognition of power cable joints using extension method with fractal feature enhancement
entity2rec: Property-specific knowledge graph embeddings for item recommendation
Distributed adaptive fault-tolerant containment control for multi-agent systems with nonautonomous leaders: A hierarchical event-triggered scheme
Applications of axiomatic design principles: A literature review
Recognition of Western style musical genres using machine learning techniques
Index similarity assisted particle filter for early failure time prediction with applications to turbofan engines and compressors
Adaptive neuro-fuzzy inference system modeling of cryogenically treated AISI M2 HSS turning tool for estimation of flank wear
VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table
An interactive food recommendation system using reinforcement learning
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach
Efficient content-based image retrieval using Multiple Support Vector Machines Ensemble
Privacy-preserving federated learning based on noise addition
TileNet: A multi-module network for tiled clothes generation from human body based on TPS and image inpainting
A paradigm shift in appointment Scheduling: Introducing a decentralized integrated Online booking system
OR-Skip-Net: Outer residual skip network for skin segmentation in non-ideal situations
Another use of SMOTE for interpretable data collaboration analysis
Adjusted Iterated Greedy for the optimization of additive manufacturing scheduling problems
Using linguistic features to automatically extract web page title
Self-confidence Fermatean fuzzy trust network-driven consensus fusion framework: A new energy vehicle power battery recycling service outlet selection
Enhancing pervasive Web accessibility with rule-based adaptation strategy
Modeling and verifying choreographed multi-agent-based web service compositions regulated by commitment protocols
Exploring the benefits of images with frequency visual content in predicting human ocular scanpaths using Artificial Neural Networks
CIT: A combined approach of improving inference and training phases of deep learning for IoT applications
Differentiable histogram-guided unsupervised Retinex enhancement for paired low-light images
An intelligent design methodology for multi-stage loading paths of variable parameters during large-scale electric upsetting process
Target hierarchy-guided knowledge tracing : Fine-grained knowledge state modeling
Forecasting with time series imaging
A cross-channel color image encryption algorithm using two-dimensional hyperchaotic map
Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques
A proportional, integral and derivative differential evolution algorithm for global optimization
Managing loan customers using misclassification patterns of credit scoring model
Generating radiology reports via auxiliary signal guidance and a memory-driven network
Unveiling image source: Instance-level camera device linking via context-aware deep Siamese network
Sensitive association rules hiding using electromagnetic field optimization algorithm
Integration of SQP and PSO for optimal planning of harmonic filters
An expert system for redesigning software for cloud applications
Sequential combination of statistics, econometrics and Adaptive Neural-Fuzzy Interface for stock market prediction
A robust script independent handwriting system for gender identification
Multimodal learning analytics for students behavior prediction using multi-scale dilated deep temporal convolution network with improved chameleon Swarm algorithm
The revised method of ranking LR fuzzy number based on deviation degree
A knowledge-based expert system to assess power plant project cost overrun risks
Sindi: an intelligent assistant for highway design
Statistical confidence intervals for fuzzy data
Evaluating probability of default: Intelligent agents in managing a multi-model system
Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning
Characterization and detection of taxpayers with false invoices using data mining techniques
PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems
Deploying intelligent e-health services in a mobile gateway
Learn from the best: A universal self-distillation approach with historical logits
A new similarity measure in formal concept analysis for case-based reasoning
The task of guiding in adaptive recommender systems
Bayesian reasoning approach based recursive algorithm for online updating belief rule based expert system of pipeline leak detection
Computational intelligence for heart disease diagnosis: A medical knowledge driven approach
A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification
Resource behavior measure and application in business process management
Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps
Intelligent and perceptual-based approach to musical instruments sound design
Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone
Vision analysis and prediction for estimation of pig weight in slaughter pens
A stratified review of COVID-19 infection forecasting and an efficient methodology using multiple domain-based transfer learning
On extracting recommendation knowledge for personalized web-based learning based on ant colony optimization with segmented-goal and meta-control strategies
Hierarchical differential evolution algorithm combined with multi-cross operation
Benchmarking main activation functions in fuzzy cognitive maps
An intelligent fast sales forecasting model for fashion products
An expert system design for a crude oil distillation column with the neural networks model and the process optimization using genetic algorithm framework
Predictive modeling of mangrove vegetation using spatiotemporal-PINNs approach
Fund transfer fraud detection: Analyzing irregular transactions and customer relationships with self-attention and graph neural networks
Bootstrap prediction intervals for the long short term memory (LSTM) recurrent neural network
EASE: An enhanced active learning framework for aspect-based sentiment analysis based on sample diversity and data augmentation
Dual-stage dual-population diversity maintenance for global and local exploration of constrained multiobjective optimization
Diversity in news recommendations using contextual bandits
Dynamic self-training with less uncertainty for graph imbalance learning
A reinforcement learning model for the reliability of blockchain oracles
Bio-inspired XYW parallel pathway edge detection network
High quality error-tolerant phrase mining on text corpus
A framework for generalizing critical heat flux detection models using unsupervised image-to-image translation
Solving bi-objective integrated scheduling problem of production, inventory and distribution using a modified NSGA-II
Artificial internet of medical things for wearable body sensor data analysis using radial basis autoencoder-based adversarial neural network
Trust-aware location recommendation in location-based social networks: A graph-based approach
Improving prediction of exchange rates using Differential EMD
NIMFA - Natural language Implicit Meaning Formalization and Abstraction
Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments
Constructing concept maps for adaptive learning systems based on data mining techniques
A probabilistic topic model based on short distance Co-occurrences
Artificial Intelligence / Machine Learning-based Innovations - A Review of Patent Eligibility Standards, Policies, Open Issues and Guiding Framework
Online shopping recommendation mechanism and its influence on consumer decisions and behaviors: A causal map approach
Robo-advisor using genetic algorithm and BERT sentiments from tweets for hybrid portfolio optimisation
DedustGAN: Unpaired learning for image dedusting based on Retinex with GANs
Optimal Legendre multiwavelet frequency band-based an improved adaptive denoising algorithm for mechanical fault diagnosis under complex conditions
Competitive pricing of complementary telecommunication services with subscriber churn in a duopoly
DGTL-Net: A Deep Generative Transfer Learning Network for Fault Diagnostics on New Hard Disks
A customer-oriented organisational diagnostic model based on data mining of customer-complaint databases