yusuke1997/dblp-id-title huggingface dataset:
Corrigendum to "A web-based model for developing: A mold base design system" [Expert Systems with Applications 36 (4) (2009) 8356-8367]
A rule extraction approach from support vector machines for diagnosing hypertension among diabetics
Two-stage DEA: An application to major Brazilian banks
Enhancing 3D video watching experiences: Tackling compression and 3D warping distortions in synthesized view with perceptual guidance
Conformal isotonic separation for binary classification
Multi-criteria group decision making based on graph neural networks in Pythagorean fuzzy environment
Preface for the special section on case-based reasoning in the health sciences
Optimization of model parameters and hyperparameters in deep learning models for spatial interaction prediction
Overlapping coalition formation in game theory: A state-of-the-art review
Identifying influential nodes in heterogeneous networks
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Evaluating neighbourhood roads through agent-based modelling: A step towards the optimal pedestrian desire path system
Supplier selection: A hybrid model using DEA, decision tree and neural network
Weight vector selection methods by hypervolume maximization in the Pareto front for single policy multi-objective reinforcement learning
LHP: Logical hypergraph link prediction
Corrigendum "Fuzzy set theory in managerial contract analyses" [Experts Systems with Applications 36 (3P1) (2009) 4535-4540]
Ordinal-based and frequency-based integration of feature selection methods for sentiment analysis
Building a boundary-spanning service for coopetition
Object clustering and recognition using multi-finite mixtures for semantic classes and hierarchy modeling
Visual analytic based ship collision probability modeling for ship navigation safety
A quantum Lévy flight optimization based peripheral Yolov5 vison for scaling and optimizing autonomous train operations during transmission
Bio inspired computing - A review of algorithms and scope of applications
A hybrid consensus algorithm for master-slave blockchain in a multidomain conversation system
A micro-expression recognition algorithm fusing visual information with textual semantics
Marketing analytics: Methods, practice, implementation, and links to other fields
The hesitant fuzzy BiRNN based on twice-cycle mechanism and its intelligent applications
Equivalence class and modified Gaussian methods for normalization of time series data on AI models
Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques
A methodological approach for the analysis and design of Human-Swarm interactions based upon feedback loops
Machine learning approaches for lateral strength estimation in squat shear walls: A comparative study and practical implications
Web-based CBR system applied to early cost budgeting for pavement maintenance project
Effective test-time personalization for federated semantic segmentation
Classification of electro-oculogram signals using artificial neural network
Fuzzy assessment of performance of a decision making units using DEA: A non-radial approach
GRFB-UNet: A new multi-scale attention network with group receptive field block for tactile paving segmentation
Analyzing fuzzy risk based on similarity measures between interval-valued fuzzy numbers
How to design and utilize online customer center to support new product concept generation
A multi-crossover genetic approach to multivariable PID controllers tuning
Improving risk-adjusted performance in high frequency trading using interval type-2 fuzzy logic
Dependence structure of Gabor wavelets based on copula for face recognition
Multi-View mutual learning network for multimodal fake news detection
Product verification using OCR classification and Mondrian conformal prediction
An intrusion detection algorithm based on joint symmetric uncertainty and hyperparameter optimized fusion neural network
A hybrid system for planning the development level of resort
Sigon: A multi-context system framework for intelligent agents
A post-processing framework for class-imbalanced learning in a transductive setting
An ACS-based framework for fuzzy data mining
Carbon emission reduction investment in sustainable supply chains under cap-and-trade regulation: An evolutionary game-theoretical perspective
Self-supervised hate speech detection in Norwegian texts with lexical and semantic augmentations
Qualitative phase portrait of modified Black-Scholes model
Hybrid game cross efficiency evaluation models based on interval data: A case of forest carbon sequestration
MDFusion: A multistage dynamic fusion framework for multimodal 3D object detection with leveraging cross-modal feature complementarity
Evolving context-aware recommender systems with users in mind
Application of SVM-RFE on EEG signals for detecting the most relevant scalp regions linked to affective valence processing
Minimization of water pumps' electricity usage: A hybrid approach of regression models with optimization
Evolving dynamic fitness measures for genetic programming
Adaptive fuzzy model identification to predict the heat transfer coefficient in pool boiling of distilled water
Audio signal based danger detection using signal processing and deep learning
Data-free knowledge distillation in neural networks for regression
Modelling cloud service latency and availability using a deep learning strategy
Spatiotemporal image-based method for external breakage event recognition in long-distance distributed fiber optic sensing
Comparison of neural networks and regression analysis: A new insight
MFHOD: Multi-modal image fusion method based on the higher-order degradation model
Analyzing bank "black boxes": A two-stage Nerlovian profit inefficiency model
Reinforcement learning-based simulation optimization for an integrated manufacturing-warehouse system: a two-stage approach
The ANN-based computing of drowsy level
Hybrid neural tagging model for open relation extraction
A Contextual Dependency-Aware Graph Convolutional Network for extracting entity relations
Fusion of multi-focus images using differential evolution algorithm
Knowledge graph fine-grained network with attribute transfer for recommendation
Advancement of performance measurement system in the humanitarian supply chain
Robust firearm detection based on learning prior distributions on adversarial autoencoders
Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition
CrossLGNet: Enhanced feature extraction for magnetocardiography via local prediction and global comparison self-supervised learning
An explainable nature-inspired cyber attack detection system in Software-Defined IoT applications
Mining Markov chain transition matrix from wind speed time series data
Entropy based region reducing genetic algorithm for reliability redundancy allocation in interval environment
NAMA: a context-aware multi-agent based web service approach to proactive need identification for personalized reminder systems
Semantic duality in hypergraphs: Uncertainty-aware bipolar evidence aggregation for temporal knowledge graph reasoning
SEASum: Syntax-Enriched Abstractive Summarization
Cost estimation of plastic injection molding parts through integration of PSO and BP neural network
Discovering a data interpreted petri net model of industrial control systems for anomaly detection
A novel routing protocol based on grey wolf optimization and Q learning for wireless body area network
Development of audit system for intellectual property management excellence
New metric formulas that include measurement errors in machine learning for natural sciences
Genetic algorithm based local and global spectral features extraction for ear recognition
Evaluation of temporal stability of eye tracking algorithms using webcams
An effective strategy for solving single and multi-unit production planning models with unique process constraints using metaheuristic techniques
Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data
Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods
DKF: Domain knowledge fusion in progressive incremental learning for multi-domain machine translation
Safety analysis on a vibrating prismatic body: A data-mining approach
Combination of Web page recommender systems
Spontaneous interaction with audiovisual contents for personalized e-commerce over Digital TV
Reliability and topology based network design using pattern mining guided genetic algorithm
Multi-swarm improved moth-flame optimization algorithm with chaotic grouping and Gaussian mutation for solving engineering optimization problems
Variable neighborhood search for the inventory routing and scheduling problem in a supply chain
Is the suggested food your desired?: Multi-modal recipe recommendation with demand-based knowledge graph
Data analytics in health promotion: Health market segmentation and classification of total joint replacement surgery patients
A new geometric shape-based genetic clustering algorithm for the multi-depot vehicle routing problem
The Imitation Game revisited: A comprehensive survey on recent advances in AI-generated text detection
Flexural buckling load prediction of aluminium alloy columns using soft computing techniques
SGRN: SEMG-based gesture recognition network with multi-dimensional feature extraction and multi-branch information fusion
A bio-inspired application of natural language processing: A case study in extracting multiword expression
Exploring indirect entity relations for knowledge graph enhanced recommender system
Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype
A three-phase approach to document clustering based on topic significance degree
Face spoofing detection based on multi-scale color inversion dual-stream convolutional neural network
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques
ARLPE: A meta reinforcement learning framework for glucose regulation in type 1 diabetics
Knowledge discovery in inspection reports of marine structures
A greedy randomized adaptive search procedure (GRASP) for minimum weakly connected dominating set problem
Supporting teachers in collaborative student modeling: A framework and an implementation
Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data
Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing
GlobalCLIP: Zero-shot manufacturing anomaly detection with adaptive self-cyclic emsemble learning
On many-objective feature selection and the need for interpretability
How to go global with differentiated products
A robust gene clustering algorithm based on clonal selection in multiobjective optimization framework
AgentStra: an Internet-based multi-agent intelligent system for strategic decision-making
Quantum behaved Particle Swarm Optimization (QPSO) for multi-objective design optimization of composite structures
A whale optimization algorithm with chaos mechanism based on quasi-opposition for global optimization problems
Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection
Advanced diabetic peripheral neuropathy detection: Validation of expert models and development of active short-wave infrared multispectral imaging techniques
Non-binary m-sequences for more comfortable brain-computer interfaces based on c-VEPs
Singularity in higher education: Methods for detection and classification
ExpFinder: A hybrid model for expert finding from text-based expertise data
Some dependent aggregation operators with 2-tuple linguistic information and their application to multiple attribute group decision making
Propositionalized attribute taxonomies from data for data-driven construction of concise classifiers
Predicting financial distress of the South Korean manufacturing industries
Gaining insight to B2B relationships through new segmentation approaches: Not all relationships are equal
A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization
Generating effective label description for label-aware sentiment classification
Optimization of load balancing using fuzzy Q-Learning for next generation wireless networks
Boundary regression model for joint entity and relation extraction
A New Wavelet-based image denoising using undecimated discrete wavelet transform and least squares support vector machine
PSOSVRPos: WiFi indoor positioning using SVR optimized by PSO
Seeking multi-view commonality and peculiarity: A novel decoupling method for lung cancer subtype classification
Orchestrating scheduling, grouping and parallelism to enhance the performance of distributed stream computing system
Deep Q-network for real-time disassembly line rebalancing of end-of-life products in dynamic recycling conditions
RBECA: A regularized Bi-partitioned entropy component analysis for human face recognition
Meta-relation-based heterogeneous graph neural network with deep reinforcement learning for flexible job shop scheduling
Analysis of convolutional-based variational autoencoders for privacy protection in realtime video surveillance
MultiScaleCrackNet: A parallel multiscale deep CNN architecture for concrete crack classification
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model
Enhancing belief consistency of large language model agents in decision-making process based on attribution theory
"What is your MBTI?": Predicting the personality types using hierarchical attention and graph learning
Cluster-based WSA method to elicit expert knowledge for Bayesian reasoning - Case of parcel delivery with drone
Improving consensus clustering with noise-induced ensemble generation
CowXNet: An automated cow estrus detection system
An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives
A cluster-DEE-based strategy to empower protein design
Grammatical evolution for features of epileptic oscillations in clinical intracranial electroencephalograms
A data-driven method for user satisfaction evaluation of smart and connected products
An improved StyleGAN-based TextToFace model with Local-Global information Fusion
Deep rigid registration for slice-to-volume in real time
A deep multi-agent reinforcement learning approach for the micro-service migration problem with affinity in the cloud
Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS
A fusion model of HMM, ANN and GA for stock market forecasting
Distance-based one-class time-series classification approach using local cluster balance
Indoor corner recognition from crowdsourced trajectories using smartphone sensors
Applying data mining techniques for spatial distribution analysis of plant species co-occurrences
Multi-temporal dependency handling in video smoke recognition: A holistic approach spanning spatial, short-term, and long-term perspectives
Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos
A sequential feature extraction approach for naïve bayes classification of microarray data
Robust temporal alignment for multivariate time series forecasting
An expert system to predict protein thermostability using decision tree
Impact of external influence on unilateral improvements in the graph model for conflict resolution
An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions
An interval-stochastic programming based approach for a fully uncertain multi-objective and multi-mode resource investment project scheduling problem with an application to ERP project implementation
Granulation-based long-term interval prediction considering spatial-temporal correlations for gas demand prediction in the steel industry
A theme evolution and knowledge trajectory study in AHP using science mapping and main path analysis
A multi-objective dynamical artificial bee colony for energy-efficient fuzzy hybrid flow shop scheduling with batch processing machines
A semantic interoperability framework for software as a service systems in cloud computing environments
A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading
A decision support system for the automatic management of keep-clear signs based on support vector machines and geographic information systems
A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking
A Computer Vision-Based Quality Assessment Technique for the automatic control of consumables for analytical laboratories
A decision-making framework for selecting an MBSE language-A case study to ship pilotage
Multimodal biometrics: Weighted score level fusion based on non-ideal iris and face images
A novel multi-attribute decision-making method based on neighborhood approximations and its application
Enhancement of time-frequency properties of ECG for detecting micropotentials by wavelet transform based method
Internal leakage detection for feedwater heaters in power plants using neural networks
Region-aware metric learning for few-shot detection of counterfeit cigarettes from packaging images
Machine learning classification of motivational states: Insights from EEG analysis of perception and imagery
Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels
ICE - Intelligent Clustering Engine: A clustering gadget for Google Desktop
A new representation of scene layout improves saliency detection in traffic scenes
Analyzing the impact of MOACO components: An algorithmic study on the multi-objective shortest path problem
Efficient prediction of exchange rates with low complexity artificial neural network models
Obtaining the consensus and inconsistency among a set of assertions on a qualitative attribute
SMAR + NIE IdeaGen: A knowledge graph based node importance estimation with analogical reasoning on large language model for idea generation
Driving EEG based multilayer dynamic brain network analysis for steering process
Applying deep learning to real-time UAV-based forest monitoring: Leveraging multi-sensor imagery for improved results
Towards group behavioral reason mining
Estimation of the qualification and behavior of a contributor and aggregation of his answers in a crowdsourcing context
A semantic role labelling-based framework for learning ontologies from Spanish documents
A multi-period optimization model for hydroponic crop planning and scheduling in a centralized supply chain
LSTM-CNN model of drowsiness detection from multiple consciousness states acquired by EEG
Active contours driven by Cuckoo Search strategy for brain tumour images segmentation
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds
Legal judgment prediction based on charge-anchored graph constraints
A novel MIP model and a hybrid genetic algorithm for operation outsourcing in production scheduling with carbon tax policy
Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model
Machine learning-driven real-time identification of large-space building fires and forecast of temperature development
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals
Medical image fusion based on convolutional neural networks and non-subsampled contourlet transform
Expert knowledge recommendation systems based on conceptual similarity and space mapping
Trilateral Filterative Hermitian feature transformed deep perceptive fuzzy neural network for finger vein verification
A clustering study of a 7000 EU document inventory using MDS and SOM
Time-based Knowledge-aware framework for Multi-Behavior Recommendation
A multi-objective multigraph A* algorithm with online likely-admissible heuristics using walk-based shallow embeddings
Application of raycast method for person geolocalization and distance determination using UAV images in Real-World land search and rescue scenarios
Griffon vultures optimization algorithm for solving optimization problems
An algorithm designed for improving diagnostic efficiency by setting multi-cutoff values of multiple tumor markers
Sliding Window, Hierarchical Classification, Regression, and Genetic Algorithm for RFID Indoor Positioning Systems
A comprehensive framework for the evaluation of ontology modularization
A fuzzy adaptive variable-structure control scheme for uncertain chaotic MIMO systems with sector nonlinearities and dead-zones
Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections
Optimization model for fair judging of large-scale innovation contests based on experts' neutral weights
Shape and size optimization of truss structures considering dynamic constraints through modern metaheuristic algorithms
A fuzzy multi-criteria model for the industrial cooperation program transaction strategies: A case in Taiwan
Single and Multi-label Fault Classification in rotors from unprocessed multi-sensor data through deep and parallel CNN architectures
An empirical analysis of online game service satisfaction and loyalty
A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency - combination of fuzzy QFD and DEA
A simplistic approach without epsilon to choose the most efficient unit in data envelopment analysis
Improving digital image watermarking by means of optimal channel selection
Skim-and-scan transformer: A new transformer-inspired architecture for video-query based video moment retrieval
A novel defect prediction method for web pages using k-means++
Gene selection and classification of microarray data method based on mutual information and moth flame algorithm
Genetic algorithm optimised Hadamard product method for inconsistency judgement matrix adjustment in AHP and automatic analysis system development
A user-guided reduction concept lattice and its algebraic structure
Human visual system inspired multi-modal medical image fusion framework
A multimodal deep neural network for prediction of the driver's focus of attention based on anthropomorphic attention mechanism and prior knowledge
An improved sliding mode model reference adaptive system observer for PMSM applications
Underwater image segmentation via the progressive network of dual iterative complement enhancement
Beyond low-dimensional features: Enhancing semi-supervised medical image semantic segmentation with advanced consistency learning techniques
A two-stage HV-driven adaptive multi-objective evolutionary algorithm and its application in fixed polarity reed-muller circuits
Multi-criteria evaluation of agro-processing industries for sustainable local economic development in East of Iran
Consideration of skewness in designing robotic compact storage and retrieval systems
An object-oriented approach for multi-objective flexible job-shop scheduling problem
Optimising stochastic task allocation and scheduling plans for mission workers subject to learning-forgetting, fatigue-recovery, and stress-recovery effects
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
A new approach for estimation of obstructive sleep apnea syndrome
SOAP classifier for free-text clinical notes with domain-specific pre-trained language models
Optimizing nonlinear charging times of electric vehicle routing with genetic algorithm
Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system
DiffCrash: leveraging denoising diffusion probabilistic models to expand high-risk testing scenarios using in-depth crash data
Managing the process of passenger security control at an airport using the fuzzy inference system