yusuke1997/dblp-id-title huggingface dataset:
A new heuristic method for distribution networks considering service level constraint and coverage radius
Tensor factorization method based on review text semantic similarity for rating prediction
Green policy for managing blasting induced dust dispersion in open-pit mines using probability-based deep learning algorithm
A majority-minority cellular automata algorithm for global optimization
Multi-UAV-aided power-up and data collection: Multi-agent DQL with genetic algorithm approach
A method for the evaluation of risk in IT projects
Exponential-based dynamic objective function for coordination of overcurrent relays in power networks
Enhancing battery SOC estimation with BTGE: A novel synergy of filtering, Transformer, and ELM
Location and allocation decisions for multi-echelon supply chain network - A multi-objective evolutionary approach
Solutions on oil refinery information storage construction on the basis of MS SQL server
APENet: Task-aware adaptation prototype evolution network for few-shot semantic segmentation
Human activity recognition with smartphone sensors using deep learning neural networks
Image processing based quality control of the impermeable seams in multilayered aseptic packages
A combined continuous-time Markov chain and queueing-inventory model for a blood transfusion network considering ABO/Rh substitution priority and unreliable screening laboratory
Evaluation of vehicle fleet maintenance management indicators by application of DEMATEL and ANP
Deep feature learning and latent space encoding for crop phenology analysis
Classification of ventricular tachycardia and fibrillation using fuzzy similarity-based approximate entropy
Neuro-Fuzzy Expert System for evaluating the performance of Distributed Software System Architecture
SDRank: A shallow-to-deep ranking framework for enhanced unsupervised keyphrase extraction
IMFF: A dual-space optimization network via multi-level feature fusion and boundary-aware learning for high-resolution remote sensing scene classification
A dynamic algorithm based on cohesive entropy for influence maximization in social networks
Few-shot multi-domain text intent classification with Dynamic Balance Domain Adaptation Meta-learning
A computational method of forecasting based on high-order fuzzy time series
Audio-deepfake detection: Adversarial attacks and countermeasures
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
Seizure detection using EEG and ECG signals for computer-based monitoring, analysis and management of epileptic patients
Deep reinforcement learning for portfolio management of markets with a dynamic number of assets
Forecasting KOSPI based on a neural network with weighted fuzzy membership functions
Zero-shot illumination adaption for improved real-time underwater visual perception
Optimized fractional order PID controller with sensorless speed estimation for torque control in induction motor
Using CNN for solving two-player zero-sum games
Reachable set performance and quantized sampled-data synchronization analysis of neural networks under random packet dropouts via enhanced looped functional
Matching office firms types and location characteristics: An exploratory analysis using Bayesian classifier networks
Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
Spatial segment-aware clustering based dynamic reliability threshold determination (SSC-DRTD) for unsupervised person re-identification
Revisiting fuzzy set operations: A rational approach for designing set operators for type-2 fuzzy sets and type-2 like fuzzy sets
HKGCL: Hierarchical graph contrastive learning for multi-domain recommendation over knowledge graph
Competitiveness analysis of automotive industry in Turkey using Bayesian networks
Multi-faceted assessment of trademark similarity
Early diagnosis of Alzheimer's disease based on Partial Least Squares and Support Vector Machine
Quantization-free parameter space reduction in ellipse detection
Fusion loss and inter-class data augmentation for deep finger vein feature learning
Calibration of microsimulation traffic model using neural network approach
Multi-objective evolutionary optimization of extreme gradient boosting regression models of the internal turning of PEEK tubes
Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network
Extending a fuzzy network data envelopment analysis model to measure maturity levels of a performance based-budgeting system: A case study
Routing optimization for medical waste collection considering infectious risk and multiple disposal centers
A multi-output prediction model for the high arch dam displacement utilizing the VMD-DTW partitioning technique and long-term temperature
Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology
On flexible Statistical Process Control with Artificial Intelligence: Classification control charts
Parallelized derivation algorithm for anomaly detection in internet of things environments
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI
Detection of fake opinions using time series
Evaluation of supplier selection in the defense industry using q-rung orthopair fuzzy set based EDAS approach
Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections
A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers
An adaptive multimodal semantic knowledge enhanced framework for sarcasm detection
Extraction of sequential patterns from the web for human activity recognition
A model for multi-label classification and ranking of learning objects
An efficient algorithm of frequent XML query pattern mining for ebXML applications in e-commerce
Machine learning classification analysis for a hypertensive population as a function of several risk factors
Spare parts inventory classification using Neutrosophic Fuzzy EDAS method in the aviation industry
Using association rules and particle swarm optimization approach for part change
Cascade-TCN-BiLSTM: accurate prediction of long-term transmission error curves in multi-stage transmission system
Keybook: Unbias object recognition using keywords
An automatic detection method for schizophrenia based on abnormal eye movements in reading tasks
Empirical risk minimization for big data driven prescriptive analytics: An exploration of two-stage stochastic programs with recourse
A guided population archive whale optimization algorithm for solving multiobjective optimization problems
Enhanced multi-grade diabetic retinopathy detection and classification via ensembled deep learning model from retinal fundus images
Mining term networks from text collections for crime investigation
Environmental impact assessment for renewable energy investments through integrated reinforcement learning and molecular fuzzy-based decision-making algorithm
Age and gender classification from speech and face images by jointly fine-tuned deep neural networks
An assertive reasoning method for emergency response management based on knowledge elements C4.5 decision tree
A spatial-temporal trend-event decoupling dual-channel framework for traffic flow prediction
Gamers' involvement detection from EEG data with cGAAM - A method for feature selection for clustering
A multi-surrogate genetic programming hyper-heuristic algorithm for the manufacturing project scheduling problem with setup times under dynamic and interference environments
A comparative study of robust efficiency analysis and Data Envelopment Analysis with imprecise data
Enhancing digital cattle identification with fine-grained image analysis
A Novel intelligent SAV oriented QL-based task offloading in mobile edge environments
Region-based layout analysis of music score images
Blockchain-based mobile crowdsourcing model with task security and task assignment
A systematic review on food recommender systems
A dual distance dominance based evolutionary algorithm with selection-replacement operator for many-objective optimization
Multi-label classification based on analog reasoning
Heuristic approaches for the cutting path problem
PHGL-DDI: A pre-training based hierarchical graph learning framework for drug-drug interaction prediction
TRGNet: a deep transfer learning approach for software defect prediction
Bead geometry modeling on uneven base metal surface by fuzzy systems for multi-pass welding
Public blockchain evaluation using entropy and TOPSIS
Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study
Energy Efficient Region based Source Distributed Routing Algorithm for Sink Mobility in Underwater Sensor Network
Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images
An incremental technique for real-time bioacoustic signal segmentation
Multipath 3D-Conv encoder and temporal-sequence decision for repetitive-action counting
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification
Spatial location optimization of e-Hub in Dublin, Ireland: A GIS-based spherical fuzzy AHP with parsimonious preference information
A knowledge-based expert system for earthquake resistant design of reinforced concrete buildings
Enhancing accuracy in point-interval load forecasting: A new strategy based on data augmentation, customized deep learning, and weighted linear error correction
RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery
Multi-objective memetic meta-heuristic algorithm for encoding the same protein with multiple genes
A novel deep auto-encoder considering energy and label constraints for categorization
A comprehensive overview of relevant methods of image cosegmentation
Automatic thesaurus construction for spam filtering using revised back propagation neural network
Link prediction approach combined graph neural network with capsule network
Development of smart sensors system for machine fault diagnosis
A predefined-time convergent low-computational-complexity zeroing neural network for equality-constrained time-varying quadratic programming
Geometric batch optimization for packing equal circles in a circle on large scale
Evolving Gaussian on-line clustering in social network analysis
Multi-camera multi-cow tracking under non-overhead views
Recommender system for secure mobile application based on permission pairs using explainable artificial intelligence
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network
Finding optimum route of electrical energy transmission line using multi-criteria with Q-learning
Parameter-less population pyramid for large-scale tower optimization
Change detection in textual classification with unexpected dynamics
Generative adversarial network-based semi-supervised learning for real-time risk warning of process industries
High-dimensional multi-objective feature selection with niche-based binary differential evolution
A novel Genetic Algorithms and SURF-Based approach for image retargeting
Multi-target HSIC-Lasso via exploiting target correlations
Heap-based optimizer inspired by corporate rank hierarchy for global optimization
Neural networks and statistical techniques: A review of applications
Knowledge-refined information bottleneck for contrastive recommendation
Developing conversational Virtual Humans for social emotion elicitation based on large language models
Application of hybrid artificial bee colony algorithm based on load balancing in aerospace composite material manufacturing
A deep learning-based approach to similarity calculation for UML use case models
A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows
GA-based PID active queue management control design for a class of TCP communication networks
A fuzzy multi-objective two-stage DEA model for evaluating the performance of US bank holding companies
CF-Rank: Learning to rank by classifier fusion on click-through data
Common column identification for table similarity detection in electrified transportation data lakes
Design space exploration of power grid design in VLSI using hybrid optimization
Ensemble learning with label proportions for bankruptcy prediction
Speaker identification system using empirical mode decomposition and an artificial neural network
Data-driven robust portfolio optimization with semi mean absolute deviation via support vector clustering
A corporative memory based on the user profiles
Programming an expressive autonomous agent
A comprehensive opposition Multi-Verse Optimizer ensemble coordination constraint handling technique for hybrid hydro-thermal-wind problem
Sample imbalance remote sensing small target detection based on discriminative feature learning and imbalanced feature semantic enrichment
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Kernelized Bures metric: A framework for effective domain adaptation in sensor data analysis
A Graph Adaptive Density Peaks Clustering algorithm for automatic centroid selection and effective aggregation
Data mining and machine learning for identifying sweet spots in shale reservoirs
Predictive model of employee attrition based on stacking ensemble learning
RobIn: A robust interpretable deep network for schizophrenia diagnosis
An ontology-driven approach for the extraction and description of geographic objects contained in raster spatial data
A fuzzy C-means algorithm for optimizing data clustering
Bees swarm optimization guided by data mining techniques for document information retrieval
Transport causality knowledge-guided GCN for propagated delay prediction in airport delay propagation networks
Adaptive chaotic dynamic learning-based gazelle optimization algorithm for feature selection problems
Architectural strategies for enhanced NILM classification and anomaly detection: Addressing limited data scenarios
Neural-symbolic BDI-Agent as a Multi-Context System: A case study with negotiating agent
Coarse and fine identification of collusive clique in financial market
Is grey relational analysis superior to the conventional techniques in predicting financial crisis?
Transition-state replicator dynamics
Predicting distresses using deep learning of text segments in annual reports
Constructing time-series momentum portfolios with deep multi-task learning
An optimization framework for efficient and sustainable logistics operations via transportation mode optimization and shipment consolidation: A case study for GE Gas Power
A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosis
Printed label defect detection using twice gradient matching based on improved cosine similarity measure
C2Fi-NeRF: Coarse to fine inversion NeRF for 6D pose estimation
A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection
An overview of fault tree analysis and its application in model based dependability analysis
A new weighted approach to imbalanced data classification problem via support vector machine with quadratic cost function
Privacy-preserving inference resistant to model extraction attacks
Stock price trend forecasting based on multi-channel complementary network with CEEMDAN decomposition and transformer residual prediction
Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns
A decision rule-based method for feature selection in predictive data mining
Neuroevolution for solving multiobjective knapsack problems
A knowledge-based evolutionary assistant to software development project scheduling
Perceptual localization and focus refinement network for RGB-D salient object detection
ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module
Learning meta-knowledge for few-shot image emotion recognition
DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals
Event-triggered H∞ control for partial unknown Markov jump discrete-time complex networks with distributed delay
An exploratory project expert system for eliciting correlation coefficient and sequential updating of duration estimation
A decremental algorithm of frequent itemset maintenance for mining updated databases
Discovering business intelligence from online product reviews: A rule-induction framework
Multimodal sarcasm detection based on sentiment-clue inconsistency global detection fusion network
A hybrid Dantzig-Wolfe decomposition algorithm for the multi-floor facility layout problem
GenCLOn: An ontology for city logistics
Your data is not perfect: Towards cross-domain out-of-distribution detection in class-imbalanced data
Food Full-Process and All-Information traceability based on Multi-Chain blockchain and trusted transmission protocols
Prediction of building energy needs in early stage of design by using ANFIS
Real-time global action planning for unmanned ground vehicle exploration in Three-dimensional spaces
A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction
FTA-DETR: An efficient and precise fire detection framework based on an end-to-end architecture applicable to embedded platforms
LSS: A locality-based structure system to evaluate the spreader's importance in social complex networks
Redistributed invariant redundant fractional wavelet transform and its application in watermarking algorithm
Handy: A real-time three color glove-based gesture recognizer with learning vector quantization
LifelongGlue: Keypoint matching for 3D reconstruction with continual neural networks
A dependency-based search strategy for feature selection
A fuzzy membership filtering aided neural network based transmission loss allocation scheme using game theory
A hybrid ant colony optimization algorithm for optimal multiuser detection in DS-UWB system
A progressive self-supervised learning framework: From fault diagnosis to electric motor wear prediction
Fighting against forest fire: A lightweight real-time detection approach for forest fire based on synthetic images
An integrated hyper-heuristic framework for scheduling and bottleneck prediction in flexible manufacturing systems
Using automated individual white-list to protect web digital identities
Decentralized medical image classification system using dual-input CNN enhanced by spatial attention and heuristic support
Using positional sequence patterns to estimate the selectivity of SQL LIKE queries
Combat process simulation and attrition forecasting based on system dynamics and Multi-agent modeling
A vision-based regression model to evaluate Parkinsonian gait from monocular image sequences
Emergent multipath COVID-19 specimen collection problem with green corridor through variable length GA
A novel concurrent relational association rule mining approach
An improved two-stage zero-shot relation triplet extraction model with hybrid cross-entropy loss and discriminative reranking
Enhanced brain tumor classification in multi modal images: leveraging self-calculated missing modality compensation transformer with NetB7++
Automatic expert system for 3D terrain reconstruction based on stereo vision and histogram matching
A Double HMM approach to Altman Z-scores and credit ratings
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction
A comparison of multiple classification methods for diagnosis of Parkinson disease
Quadrotor navigation considering attitude: A deep reinforcement learning method using tangent path rewards
A novel federal learning-based framework defending server-level privacy leakage
A systematic review on computer vision-based parking lot management applied on public datasets
Ranking influencers of social networks by semantic kernels and sentiment information
FedSC: Relieve client interference in personalized federated learning for CNNs via sensitivity perception and cluster coverage
Extended interval type-II and kernel based sparse representation method for face recognition
Service-oriented multi-platform for food computing: A mobile application for recipe adaptation to nutrition behaviours (AI2Cuisine)
Person re-identification in indoor videos by information fusion using Graph Convolutional Networks
Semantic preprocessing for mining sensor streams from heterogeneous environments
A multi-strategy approach to biological named entity recognition
Proactive eco-friendly pheromone-based green vehicle routing for multi-agent systems
Ontological fuzzy agent for electrocardiogram application
Improving plagiarism detection in text document using hybrid weighted similarity
A novel hybrid feature fusion model for detecting phishing scam on Ethereum using deep neural network
Exploiting social capital for improving personalized recommendations in online social networks
A fuzzy multi-criteria approach to flood risk vulnerability in South Korea by considering climate change impacts
Minimizing makespan for the distributed hybrid flowshop scheduling problem with multiprocessor tasks
Smart meter monitoring and data mining techniques for predicting refrigeration system performance
A plug-and-play data-driven approach for anti-money laundering in bitcoin
Linguistic feature based learning model for fake news detection and classification
Multi-objective genetic algorithms for cost-effective distributions of actuators and sensors in large structures
HeteClass: A Meta-path based framework for transductive classification of objects in heterogeneous information networks
Deep learning-based anomaly detection for individual drone vehicles performing swarm missions
Predicting corporate financial distress based on integration of support vector machine and logistic regression
The application of rough sets analysis in activity-based modelling. Opportunities and constraints
An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning
A hybrid transient search naked mole-rat optimizer for image segmentation using multilevel thresholding
Support vector machine with genetic algorithm for forecasting of key-gas ratios in oil-immersed transformer
Bidirectional relation-guided attention network with semantics and knowledge for relational triple extraction
Evaluating classification performances of single-layer perceptron with a Choquet fuzzy integral-based neuron
The ACEWEM framework: An integrated agent-based and statistical modelling laboratory for repeated power auctions
A state of the art on computational music performance
Poplar optimization algorithm: A new meta-heuristic optimization technique for numerical optimization and image segmentation
Methodology for assessing the contribution of knowledge services during the new product development process to business performance
Heuristic algorithms for the special knapsack packing problem with defects arising in aircraft arrangement
Optimizing collection processes using conservative Q-learning
Identifying individual expectations in service recovery through natural language processing and machine learning
Wavelet based shock wave and muzzle blast classification for different supersonic projectiles
Stock market trading rule discovery using technical charting heuristics
Representing and modeling spatio-temporal uncertainty using belief function theory in flood extent mapping
High accuracy intelligent real-time framework for detecting infant drowning based on deep learning
Choquet integral-based intuitionistic fuzzy arithmetic aggregation operators in multi-criteria decision-making
An active learning genetic algorithm for integrated process planning and scheduling
A multi-label chest X-ray image classification algorithm based on multi-scale and attribute-aware semantic graph
Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM