yusuke1997/dblp-id-title huggingface dataset:
Word separation in continuous sign language using isolated signs and post-processing
Ontology of collaborative manufacturing: Alignment of service-oriented framework with service-dominant logic
Why promotion strategies based on market basket analysis do not work
CSENMT: A deep image compressed sensing encryption network via multi-color space and texture feature
Intelligent profitable customers segmentation system based on business intelligence tools
A sentiment-enhanced hybrid model for crude oil price forecasting
A multi-agent system for solving the Dynamic Capacitated Vehicle Routing Problem with stochastic customers using trajectory data mining
A-Eye: Automating the role of the third umpire in the game of cricket
Use of cognitive load measurements to design a new architecture of intelligent learning systems
Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials
Improvement of renal image recognition through resolution enhancement
Dual-branch hierarchical feature fusion network for video source camera identification
Creating emoji lexica from unsupervised sentiment analysis of their descriptions
Drug repositioning based on tripartite cross-network embedding and graph convolutional network
Using Kaplan-Meier analysis together with decision tree methods (C&RT, CHAID, QUEST, C4.5 and ID3) in determining recurrence-free survival of breast cancer patients
Exploiting molecular dynamics for multi-objective optimization
Corrigendum to "Severe sepsis mortality prediction with logistic regression over latent factors" [Expert Systems with Applications 39 (2) (2012) 1937-1943]
Integrating linguistic knowledge into a conditional random fieldframework to identify biomedical named entities
Degrees of terminal cooperativeness and the efficiency of the barge handling process
Prediction of protein-protein interactions based on elastic net and deep forest
Elastic deep autoencoder for text embedding clustering by an improved graph regularization
Petri-net integration - An approach to support multi-agent process mining
Construction of implicit social network and recommendation between users and items via the ISR-RRM algorithm
A new approach to particle swarm optimization algorithm
Investigating the efficiency in oil futures market based on GMDH approach
Qualitative modelling of a multi-step process: The case of French breadmaking
CDS: Collaborative distant supervision for Twitter account classification
A social-aware routing protocol for opportunistic networks
A fuzzy-evidential hybrid inference engine for coronary heart disease risk assessment
Multi-sensors data fusion through fuzzy clustering and predictive tools
Erratum to "A study on the selection of benchmarking paths in DEA" [Expert Syst. Appl 38 (6) (2011) 7665-7673]
Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm
Global information enhancement and subgraph-level weakly contrastive learning for lightweight weakly supervised document-level event extraction
A goal-oriented, ontology-based methodology to support the design of AAL environments
Selecting a small number of products for effective user profiling in collaborative filtering
The indicators of human capital for financial institutions
Provable distributed adaptive temporal-difference learning over time-varying networks
Consensus reaching for large-scale group decision making: A gain-loss analysis perspective
An effective adaptive iterated greedy algorithm for a cascaded flowshop joint scheduling problem
Unsupervised feature extraction with autoencoders for EEG based multiclass motor imagery BCI
A new approach in improvement of mean value models for spark ignition engines using neural networks
A new type of change-detection scheme based on the window-limited weighted likelihood ratios
A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction
DED: Diagnostic Evidence Distillation for acne severity grading on face images
A multi-model with control increments for a nonlinear passive air-conditioning unit modeling
Supervised learning models for social bot detection: Literature review and benchmark
Improvements on an authentication scheme for vehicular sensor networks
SemSeq4FD: Integrating global semantic relationship and local sequential order to enhance text representation for fake news detection
FTPE-BC: Fast thumbnail-preserving image encryption using block-churning
A modified equilibrium optimizer using opposition-based learning and novel update rules
Ensemble with neural networks for bankruptcy prediction
Human opinion dynamics optimization for ICI mitigation in MC-CDMA systems
The evolution of knowledge navigator model: The construction and application of KNM 2.0
Controllable probability-limited and learning-based human-like vehicle behavior and trajectory generation for autonomous driving testing in highway scenario
Auto-adaptive multilayer perceptron for univariate time series classification
Incomplete interval-valued probabilistic uncertain linguistic preference relation in group decision making
Bi-objective traffic count location model for mean and covariance of origin-destination estimation
Parameters identification of photovoltaic models using Lambert W-function and Newton-Raphson method collaborated with AI-based optimization techniques: A comparative study
The knowledge chain model: activities for competitiveness
Audio based depression detection using Convolutional Autoencoder
A self-learning differential evolution algorithm with population range indicator
Drone routing problem with truck: Optimization and quantitative analysis
Exploring ChatGPT's code refactoring capabilities: An empirical study
Class-agnostic and semantic-aware fusing network with optimal transport for weakly supervised object localization
Unsupervised learning monitors the carbon-dioxide plume in the subsurface carbon storage reservoir
An explainable autoencoder integrating regression and classification trees for anomaly detection
Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques
Employee churn prediction
Automatic recommendation of feature selection algorithms based on dataset characteristics
Adaptive and automatic aerial image restoration pipeline leveraging pre-trained image restorer with lightweight Fully Convolutional Network
Using case-based reasoning for the design of controls for internet-based information systems
Process mining technology selection with spherical fuzzy AHP and sensitivity analysis
HyNCF: A hybrid normalization strategy via feature statistics for collaborative filtering
Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
AgentAI: A comprehensive survey on autonomous agents in distributed AI for industry 4.0
A multi-leader whale optimization algorithm for global optimization and image segmentation
A green time-dependent traveling salesman problem with intermediate node and multiple traffic states
Multi-dimensional trust for context-aware services computing
Linear and nonlinear framework for interval-valued PM 2.5 concentration forecasting based on multi-factor interval division strategy and bivariate empirical mode decomposition
A hierarchical genetic algorithm for segmentation of multi-spectral human-brain MRI
Data-driven prediction for curved pipe jacking performance during underwater excavation of ancient shipwreck using an attention-based graph convolutional network approach
Iterative model pruning with sparsity learning for infrared rotary-wing UAV detection
DSS: A hybrid deep model for fake news detection using propagation tree and stance network
Real-time credit card fraud detection using computational intelligence
Low resolution face recognition using a two-branch deep convolutional neural network architecture
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Cross-phase automated structural design of modular buildings using a unified matrix method and multi-objective optimization
Adaptive Non-Maximum Suppression for improving performance of Rumex detection
An expert system using rough sets theory for aided conceptual design of ship's engine room automation
A novel portfolio selection model based on fuzzy goal programming with different importance and priorities
A computational model for multiobjective optimization of multipolar stimulation in cochlear implants: An enhanced focusing approach
ADAM: An adaptive multimedia content description mechanism and its application in web-based learning
SF-GAN: Semantic fusion generative adversarial networks for text-to-image synthesis
Evaluating blockchain software system for secure transactions using a novel 2-tuple linguistic q-rung picture fuzzy MABAC framework
Modelling of colour perception of different age groups using artificial neural networks
Measuring process capability index C pmk with fuzzy data and compare it with other fuzzy process capability indices
Accelerating time series similarity search under Move-Split-Merge distance via dissimilarity space embedding
Information-theoretic hashing of 3D objects using spectral graph theory
An empirical study on knowledge integration, technology innovation and experimental practice
Finite-time bipartite synchronization for coupled neural networks: An aperiodically intermittent and impulsive control approach
Retinex-guided illumination recovery and progressive feature adaptation for real-world nighttime UAV-based vehicle detection
A label noise filtering method for regression based on adaptive threshold and noise score
An optimal model using single-dimensional CAE-IRNN based SPOA for cyclone track prediction
Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier
Explicable recommendation based on knowledge graph
Market segmentation using high-dimensional sparse consumers data
Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images
A hybrid multilinear-linear subspace learning approach for enhanced person re-identification in camera networks
RetriBlog: An architecture-centered framework for developing blog crawlers
Nested cross-validation based adaptive sparse representation algorithm and its application to pathological brain classification
An improved seagull optimization algorithm for optimal coordination of distance and directional over-current relays
A hybrid population-based algorithm for the bi-objective quadratic multiple knapsack problem
Graph attention network with dynamic representation of relations for knowledge graph completion
Safe multi-agent reinforcement learning framework for coordinated control in multi-robot systems
Monocular vision approach for Soft Actor-Critic based car-following strategy in adaptive cruise control
CoSS: Co-optimizing sensor and sampling rate for data-efficient human activity recognition
A structure-based disentangled network with contrastive regularization for sign language recognition
An agent based approach for exception handling in e-procurement management
An efficient local-to-global Bayesian network skeleton learning algorithm
ElaClo: A framework for optimizing software application topology in the cloud environment
Fostering interpretability of data mining models through data perturbation
Seq2Img-DRNET: A travel time index prediction algorithm for complex road network at regional level
DSG-Fusion: Infrared and visible image fusion via generative adversarial networks and guided filter
WISNet: A deep neural network based human activity recognition system
A dynamic soft sensor of industrial fuzzy time series with propositional linear temporal logic
Classification models via Tabu search: An application to early stage venture classification
Ant clustering algorithm with K-harmonic means clustering
A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem
Investigating the potential for using gamification to empower knowledge workers
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review
Does our social life influence our nutritional behaviour? Understanding nutritional habits from egocentric photo-streams
Genetic algorithm-based heuristic for feature selection in credit risk assessment
Testing an instrument to measure the BPMS-KM Support model
Finger-vein verification based on the curvature in Radon space
A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem
Review of intelligent fault diagnosis for rotating machinery under imperfect data conditions
Dynamic clustering of energy markets: An extended hidden Markov approach
Incorporating multi-perspective information into reinforcement learning to address multi-hop knowledge graph question answering
XAI-RACapsNet: Relevance aware capsule network-based breast cancer detection using mammography images via explainability O-net ROI segmentation
How to promote the participation of enterprises using open government data? Evolutionary game analysis by applying dynamic measures
Calibrating parametric exponential Lévy models to option market data by incorporating statistical moments priors
Word embedding dimensionality reduction using dynamic variance thresholding (DyVaT)
Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers
MAGSleepNet: Adaptively multi-scale temporal focused sleep staging model for multi-age groups
Solving 3D packing problem using Transformer network and reinforcement learning
Rare category exploration with noisy labels
Multi-attention dynamic sampling network (Multi-ADS-Net): Cross-dataset pre-trained model for generalizable vessel segmentation in X-ray coronary angiography
Rotary combination permutation and image tiling to safeguard real-time image-based systems through a new 1D-chaotic map
XRL-TO: An explainable reinforcement learning-based approach for bus timetable dynamic optimization
Ontology-based decision support system for semiconductors EDS testing by wafer defect classification
Dual-stream Noise and Speech Information Perception based Speech Enhancement
FOMOsim: An open-source simulator for rigorous analysis of micromobility planning problems
A learning-based co-evolution optimization framework for energy-aware distributed heterogeneous flexible flow shop lot-streaming scheduling problem
Mexican sign language segmentation using color based neuronal networks to detect the individual skin color
New procedure for valuing patents under imprecise information with a consensual dynamics model and a real options framework
Lightweight UAV image super-resolution method based on large-kernel attention and cross-height strategy
Modeling the warring states period: History dynamics of initial unified empire in China (475 BC to 221 BC)
Expert system for integrated plant protection in pepper (Capsicum annuun L.)
A teaching quality evaluation framework for blended classroom modes with multi-domain heterogeneous data integration
A novel fuzzy neural collaborative filtering for recommender systems
An approach to increase prediction precision of GM(1, 1) model based on optimization of the initial condition
Analyzing stock market tick data using piecewise nonlinear model
A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection
A large neighborhood search algorithm based on Q-learning for multi-container loading problem
Real-time multi-camera 3D human pose estimation at the edge for industrial applications
Support vector regression based hybrid rule extraction methods for forecasting
Enhancing short-term solar radiation forecasting with hybrid VMD and GraphCast-based machine learning models
Selective multi-view time-frequency decomposed spatial feature matrix for motor imagery EEG classification
Scheduling the covering delivery problem in last mile delivery
HeMTAN: Hybrid task-adapted experts-based multi-task attention network for unseen compound fault decoupling diagnosis of rotating machinery
The Fuzzy Expert Exploration Tool for the Delaware Basin: Development, testing and applications
Underwater video mosaicing using topology and superpixel-based pairwise stitching
Death mechanism-based moth-flame optimization with improved flame generation mechanism for global optimization tasks
Quadruplet-attention transformer for scale-invariant robot place recognition
Deep reinforcement learning based scheduling within production plan in semiconductor fabrication
A self-supervised deep learning framework for seismic facies segmentation
A comparison of classification methods across different data complexity scenarios and datasets
Novel evolutionary multi-objective soft subspace clustering algorithm for credit risk assessment
Analyzing the short- and long-term car-following behavior in multiple factor coupled scenarios
Conjoint analysis of enhanced English Medium Instruction for college students
Stock market index prediction using deep Transformer model
Development of fast scanning module with a novel bubble solution applied to scanning acoustic microscopy system for industrial nondestructive inspection
3sXcsNet: A framework for face presentation attack detection using deep learning
An HMM for detecting spam mail
Assessment of a complementary cyber learning system to offline teaching
Attention-aware metapath-based network embedding for HIN based recommendation
An optimum feature extraction method for texture classification
Modelling time series with temporal and spatial correlations in transport planning using hierarchical ARIMA-copula Model: A Bayesian approach
A novel hybrid ConvNeXt-based approach for enhanced skin lesion classification
Creating navigation map in semi-open scenarios for intelligent vehicle localization using multi-sensor fusion
Accurately predicting the success of B2B e-commerce in small and medium enterprises
Flexible competitive weighted nonnegative representation method for classification
Disambiguation of company names via deep recurrent networks
Minimal infrequent pattern based approach for mining outliers in data streams
A novel hybrid multi-criteria decision-making approach for solar photovoltaic power plant site selection based on the quantity and quality matching of resource-demand
An ontological framework for representing and exploiting medical knowledge
An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events
Hybrid optimized dynamic graph convolutional recurrent imputation network for fog computing in health monitoring using internet of medical things
Ontology-based fuzzy event extraction agent for Chinese e-news summarization
An integrated decision-making approach for sustainable supplier selection in the chemical industry
An automated lateral flow assay identification framework: Exploring the challenges of a wearable lateral flow assay in mobile application
Candidate range limitation for efficient rainbow clique detection
Road-traffic monitoring by knowledge-driven static and dynamic image analysis
A new tree-based approach to mine sequential patterns
KPI-related operating performance assessment based on distributed ImRMR-KOCTA for hot strip mill process
ε constrained differential evolution with pre-estimated comparison using gradient-based approximation for constrained optimization problems
Detecting fake news by enhanced text representation with multi-EDU-structure awareness
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Incomplete multi-view clustering via virtual-label guided matrix factorization
Enhanced automated body feature extraction from a 2D image using anthropomorphic measures for silhouette analysis
Algorithm learning based neural network integrating feature selection and classification
Fuzzy and simulated annealing based dynamic programming for the unit commitment problem
A fast and efficient discrete evolutionary algorithm for the uncapacitated facility location problem
The facility layout problem in non-rectangular logistics parks with split lines
Decision-making techniques in supplier selection: Recent accomplishments and what lies ahead
Analytical games for knowledge engineering of expert systems in support to Situational Awareness: The Reliability Game case study
Issues in knowledge access, retrieval and sharing - Case studies in a Caribbean health sector
A comparison study of myoelectric regression performances when estimating different types of joint kinematic data
The Self-Organizing Restricted Boltzmann Machine for Deep Representation with the Application on Classification Problems
DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets
A robust convex optimization approach to design a hierarchical organ transplant network: A case study
An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation
Fault diagnosis for internal combustion engines using intake manifold pressure and artificial neural network
Multi-Temporal Granularity Concept Induction for semantically driven video summarization
A novel multi-view classifier based on Nyström approximation
Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal
Learning unified distance metric for heterogeneous attribute data clustering
A multi-level and iterative feature engineering framework for deepfake audio detection
A machine learning approach to synchronization of automata
A novel CFO estimator with joint bisection-searching and complexity-reduction technique for uplink MC-CDMA systems
Fuzzy cognitive map based on structural equation modeling for the design of controls in business-to-consumer e-commerce web-based systems
An adjustable personalization of search and delivery of learning objects to learners
A hybrid metaheuristic algorithm for location inventory routing problem with time windows and fuel consumption
Towards optimal hydro-blasting in reconfigurable climbing system for corroded ship hull cleaning and maintenance
Hierarchical multi-task circuit modeling for PVT robustness via KAN-CNN integration
Mining negative contrast sets from data with discrete attributes
Prediction of incompatible bug numbers between versions of java open-source software based on deep fusion features
Understanding social loafing in knowledge contribution from the perspectives of justice and trust
Data quality assessment of maintenance reporting procedures
KD-PAR: A knowledge distillation-based pedestrian attribute recognition model with multi-label mixed feature learning network
Intuitionistic fuzzy variables: Concepts and applications in decision making
Efficient fuzzy ranking with ensemble machine learning network for attack detection and classification in VANET
Large-scale point cloud semantic segmentation via local perception and global descriptor vector
A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images
Model comparison in Emergency Severity Index level prediction
Data and knowledge-driven deep multiview fusion network based on diffusion model for hyperspectral image classification
Analytical comparison of cross impact steady state, DEMATEL, and page rank for analyzing complex systems
A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost
Session-based news recommendations using SimRank on multi-modal graphs
DBENet-NPI: Predicting ncRNA-protein interactions based on multi-perspective information and dual-branch encoder network
Genetic-algorithm-based artificial neural network modeling for platelet transfusion requirements on acute myeloblastic leukemia patients
A novel sparse representation model for pedestrian abnormal trajectory understanding
Optimizing S-box generation based on the Adaptive Agent Heroes and Cowards Algorithm
Embedded fuzzy expert system for Adaptive Weighted Fair Queueing