yusuke1997/dblp-id-title huggingface dataset:
Building a validation measure for activity-based transportation models based on mobile phone data
A fuzzy aid rear-end collision warning/avoidance system
Knowledge-aware neighbor collaborative multi-relationship multi-interest comparative recommender system for diversified book recommendations
Data-driven fuzzy clustering based on maximum entropy principle and PSO
Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction
Emission reduction and outsourcing remanufacturing: A comparative study under carbon trading
Bi-channel attention meta learning for few-shot fine-grained image recognition
Performance evaluation with the entropy-based weighted Russell measure in data envelopment analysis
Knowledge-based framework for estimating the relevance of scientific articles
Influence maximization in social networks using transfer learning via graph-based LSTM
Theory of reduced biquaternion sparse representation and its applications
Shorter latency of real-time epileptic seizure detection via probabilistic prediction
Enhancing intrusion detection in IoT: CNN integration with K-means for efficient and balanced classification
Dynamic multi-attribute decision making model with grey number evaluations
Flexible patient rule induction method for optimizing process variables in discrete type
Combining a recursive approach via non-negative matrix factorization and Gini index sparsity to improve reliable detection of wheezing sounds
A lightweight and extensible Complex Event Processing system for sense and respond applications
A developed model of expert system interface (DMESI)
Leak detection of pipeline: An integrated approach of rough set theory and artificial bee colony trained SVM
Estimating the effect of organizational structure on knowledge transfer: A neural network approach
Unveiling relevant acoustic features for bird species automatic classification
Multi-Period efficiency and productivity changes in global Automobile: A VRS-VRM and SML productivity index approach
Using case-based reasoning to evaluate supplier environmental management performance
Application of deep reinforcement learning to intrusion detection for supervised problems
Multimodal emotion recognition with evolutionary computation for human-robot interaction
A new hybrid ant colony optimization algorithm for feature selection
Measurement of adverse cosmesis in breast cancer: A deep learning approach
Integrating parts design characteristics and scheduling on parallel machines
GLSEC: Global and local semantic-enhanced contrastive framework for knowledge graph completion
An efficient algorithm for solving multilevel multi-objective linear fractional optimization problem with neutrosophic parameters
Probabilistic gear fatigue life prediction based on physics-informed transformer
Music recommendation using text analysis on song requests to radio stations
Efficient deep-narrow residual networks using dilated pooling for scene recognition
ReDMark: Framework for residual diffusion watermarking based on deep networks
Detecting earnings management with neural networks
Development and optimization of unrestricted LR-type intuitionistic fuzzy mathematical programming problems
Hierarchical and position-aware graph convolutional network with external knowledge and prompt learning for aspect-based sentiment analysis
The effect of answer validation on the performance of Question-Answering systems
A group recommendation system with consideration of interactions among group members
Optimal layout planning for human robot collaborative assembly systems and visualization through immersive technologies
Two-stage learning scatter search algorithm for the distributed hybrid flow shop scheduling problem with machine breakdown
Integrated framework of process mining and simulation-optimization for pod structured clinical layout design
An interactive preference-guided firefly algorithm for personalized tourist itineraries
Detection of DDoS attacks with feed forward based deep neural network model
Ensemble belief rule base modeling with diverse attribute selection and cautious conjunctive rule for classification problems
Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers
Personalized recommendation with hybrid feedback by refining implicit data
Expert in conflicts
SoFA: An expert-driven, self-organization peer-to-peer semantic communities for network resource management
Autonomous in-situ modeling for virtual building models in digital twins
Using Q methodology to explore user's value types on mobile phone service websites
Thread-based probabilistic models for expert finding in enterprise Microblogs
Heuristics for the mixed no-idle flowshop with sequence-dependent setup times and total flowtime criterion
Kernal PCA with ElmanNet for cellular network traffic prediction and security enhancement using blockchain Radio access network
A novel sparse representation based fusion approach for multi-focus images
ADANOISE: Training neural networks with adaptive noise for imbalanced data classification
An evolutionary algorithm with neighborhood structure incorporating reinforcement learning for dual resource constrained flexible job shop scheduling problem with worker transportation fatigue
An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board
A Simulated Annealing-based parallel multi-objective approach to vehicle routing problems with time windows
HGE-BVHD: Heterogeneous graph embedding scheme of complex structure functions for binary vulnerability homology discrimination
A fuzzy MCDM model for allocating orders to suppliers in a supply chain under uncertainty over a multi-period time horizon
A conditional purpose-based access control model with dynamic roles
Calibrating artificial neural networks by global optimization
A new hybrid model for monthly runoff prediction using ELMAN neural network based on decomposition-integration structure with local error correction method
Performance evaluation of multiple classification of the ultrasonic supraspinatus images by using ML, RBFNN and SVM classifiers
Impact of momentum bias on forecasting through knowledge discovery techniques in the foreign exchange market
Comprehensive feature integrated capsule network for Machinery fault diagnosis
Lightweight structure-guided network with hydra interaction attention and global-local gating mechanism for high-resolution image inpainting
An HMM-based over-sampling technique to improve text classification
A search algorithm for constrained engineering optimization and tuning the gains of controllers
Attention-based dynamic spatial-temporal graph convolutional networks for traffic speed forecasting
Clustering-based brain functional segmentation via deep collapsed nonparametric von Mises-Fisher mixture models
A set of novel HTML document quality features for Web information retrieval: Including applications to learning to rank for information retrieval
Novel enhanced Salp Swarm Algorithms using opposition-based learning schemes for global optimization problems
Application of classification techniques on development an early-warning system for chronic illnesses
Environment-Aware graph relational reasoning for interpretable and generalizable mechanical transmission system distributed fault diagnosis
PSTFormer: A novel parallel spatial-temporal transformer for remaining useful life prediction of aeroengine
An end-quality assessment system for electronically commutated motors based on evidential reasoning
A stock series prediction model based on variational mode decomposition and dual-channel attention network
Vibrant fault diagnosis for hydroelectric generator units with a new combination of rough sets and support vector machine
Answering questions about European legislation
Double deep Q-network based multi-objective optimization for flexible job shop scheduling problem with heterogeneous automatic guided vehicles
Evolutionary competitive multitasking optimization via improved adaptive differential evolution
HAH manuscripts: A holistic paradigm for classifying and retrieving historical Arabic handwritten documents
Acoustic Event Classification using spectral band selection and Non-Negative Matrix Factorization-based features
Improving the model robustness of flood hazard mapping based on hyperparameter optimization of random forest
Distance and density based clustering algorithm using Gaussian kernel
Graph-based algorithm for exploring collaboration mechanisms and hidden patterns among top scholars
A smart access control using an efficient license plate location and recognition approach
A novel neural network-based fuzzy ranking for decision problems in sustainable energy
Recovering the sight to blind people in indoor environments with smart technologies
Credit card fraud detection model based on optimized long short-term memory : Imbalanced class solution and overfitting reduction
IoT-based collaborative reputation system for associating visitors and artworks in a cultural scenario
SmartGantt - An intelligent system for real time rescheduling based on relational reinforcement learning
Location-based grid-index for spatial query processing
A dynamic project allocation algorithm for a distributed expert system
Vague preferences in recommender systems
An efficient method for mining High-Utility itemsets from unstable negative profit databases
Reliability evaluation for overall-terminal multistate flow networks with bi-directed arcs
Optimal scheduling of electric vehicle charging operations considering real-time traffic condition and travel distance
Point-of-interest Recommendation using Deep Semantic Model
Picking on the family: Disrupting android malware triage by forcing misclassification
What and when to look? Temporal span proposal network for video relation detection
Using EEG spectral components to assess algorithms for detecting fatigue
Distribution-Aware Multi-Attention Tri-branch Networks with Feedforward Differential Features for semi-supervised medical image segmentation
A novel graph-based hybrid deep learning of cumulative GRU and deeper GCN for recognition of abnormal gait patterns using wearable sensors
A simulation-optimization approach for adaptive manufacturing capacity planning in small and medium-sized enterprises
A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts
Attack scenario reconstruction using intrusion semantics
Improving chronic disease management for children with knowledge graphs and artificial intelligence
Alternative diagnosis of corporate bankruptcy: A neuro fuzzy approach
Hierarchically controlled differential evolution algorithm
A faster secure content-based image retrieval using clustering for cloud
Securecipher: An instantaneous synchronization stream encryption system for insider threat data leakage protection
A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction
Combining multiple disambiguation methods for gene mention normalization
A gradient-based adaptive error diffusion method with edge enhancement
An artificial immune system with continuous-learning for voltage disturbance diagnosis in electrical distribution systems
Car assembly line fault diagnosis based on robust wavelet SVC and PSO
Coordinated multi lane-changing on highways for connected and automated vehicles in mixed traffic
New validation methods for improving standard and multi-parametric support vector regression training time
A multiple-kernel support vector regression approach for stock market price forecasting
3DPillars: Pillar-based two-stage 3D object detection
Research on intelligent prediction method of supersonic flow field in scramjet based on deep learning: A review
Industrial ship routing problem with split delivery and two types of vessels
TabAttackBench: A benchmark for adversarial attacks on tabular data
Rapid offline detection and 3D annotation of assembly elements in the augmented assembly
A new intelligent diagnosis system for the heart valve diseases by using genetic-SVM classifier
Utilizing deep learning to explore chemical space for drug lead optimization
Livestream strategies for e-tailers considering influencer overpromising
Passive learning to address nonstationarity in virtual flow metering applications
The reevaluate statistical results of quality of life in patients with cerebrovascular disease using adaptive network-based fuzzy inference system
QR 3 AG: Dynamic Retrieval-Augmented Generation via Query-Response Relevance Threshold Judgement
Applying an automatic approach for showing up the hidden themes in financial marketing research (1961-2010)
A new approach for the design of digital frequency selective FIR filters using an FPA-based algorithm
A semantic similarity method based on information content exploiting multiple ontologies
A new algorithm for automatic classification of power quality events based on wavelet transform and SVM
Ontology-based context representation and reasoning for object tracking and scene interpretation in video
CVit-Net: A conformer driven RGB-D salient object detector with operation-wise attention learning
Confidence based compressed sensing approach with QoS differentiation for reliable grant-free access
Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach
Time-dependent reliability analysis of structural systems based on parallel active learning Kriging model
Secure Encrypted Steganography Graphical Password scheme for Near Field Communication smartphone access control system
A real-time energy and cost efficient vehicle route assignment neural recommender system
Design of self tuning fuzzy controllers for nonlinear systems
Can hybrid carbon asset pledge financing strategy benefit production and abatement emission investment decisions for authorized remanufacturing firms?
A non-radial directional distance method on classifying inputs and outputs in DEA: Application to banking industry
A hybrid model based on adaptive-network-based fuzzy inference system to forecast Taiwan stock market
POFNet: Self-supervised 3D pyramid optical flow network with 3D swapping and ConvLSTM for point cloud prediction
Mathematical programming for piecewise linear regression analysis
Histogram-based gravitational optimization algorithm on single MR modality for automatic brain lesion detection and segmentation
Corrigendum "Using neural networks and data mining techniques for the financial distress prediction model" [Experts Systems with Applications 36 (2P2) (2009) (4075-4086)]
The application of spatial domain in optimum initialization for clustering image data using particle swarm optimization
A study on VRM-awareness enterprise websites
A bi-objective optimization model integrating bilateral accessibility for overseas warehouse location selection: complex network analysis and ε-constraint-based column generation algorithm
Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer
On the yield curve and the performance of some popular fixed-income strategies
Fractals, fuzzy logic and expert systems to assist in the construction of musical pieces
Optimising anti-spam filters with evolutionary algorithms
Multiscale convolutional transformer for robust detection of aquaculture defects
Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers
Cooperative pose estimation of a fleet of robots based on interactive points alignment
A survey of transformer architectures for autonomous driving
AGRIFOLD: AGRIculture Federated learning for Optimized Leaf disease Detection
Hierarchical camera auto-calibration for traffic surveillance systems
A novel fuzzy SECA model based on fuzzy standard deviation and correlation coefficients for resilient-sustainable supplier selection
Automated SC-MCC Test Case Generation using Bounded Model Checking for Safety-Critical Applications
A language model approach for tag recommendation
A comparative study on base classifiers in ensemble methods for credit scoring
A new data-driven production scheduling method based on digital twin for smart shop floors
Data mining for feature selection in gene expression autism data
Automatic generation of clinical algorithms within the state-decision-action model
Estimation of protein structures by classification of angles between alpha-carbons of amino acids based on artificial neural networks
CMAA: Channel-wise multi-scale adaptive attention network for metallographic image semantic segmentation
Pre-run-time scheduling in real-time systems: Current researches and Artificial Intelligence perspectives
Discovering diverse association rules from multidimensional schema
A regression tree approach using mathematical programming
A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection
A decision support system for luggage typesetting
Fuzzy time series prediction using hierarchical clustering algorithms
A machine learning-based medical device recall initiator prediction framework: From supply chain risk management and resilience view
Knowledge management technologies and applications - literature review from 1995 to 2002
An intuitionistic fuzzy set based hybrid similarity model for recommender system
Towards deployable and explainable deep learning models for paddy leaf disease classification in R: A comparative study of CNN architectures with SHAP and LIME
Construction and evaluation of ontological tag trees
Deep learning based low complexity joint antenna selection scheme for MIMO vehicular adhoc networks
DimSum: Disentangling representation with automatically generated multi-category summary templates for fine-grained opinion summarization
A novel separation-ensemble analyzing and forecasting method for the gold price forecasting based on RLS-type independent component analysis
RLEM-Net: reinforcement learning enhanced multimodal segmentation for Camellia oleifera diseases based on semantic and visual features
Real-time 4D trajectory planning method for civil aircraft with high security in congested, stochastic, and dynamic airspace environment
A knowledge-based approach for index selection in relational databases
Multiscale group behavior perception for intelligent social bot detection
TBAuth: A continuous authentication framework based on tap behavior for smartphones
A framework for dynamical distributed flocking control in dense environments
Analyzing interdisciplinarity of technology fusion using knowledge flows of patents
Organizational learning culture, innovative culture and innovations in South Korean firms
SAM-IE: SAM-based image enhancement for facilitating medical image diagnosis with segmentation foundation model
Adaptive corner detection algorithm using auto-correlation directional gradient matrix
A transferable deep learning framework to propagate extreme water levels from sparse tide-gauges across spatial domains
Rule-based ontological knowledge base for monitoring partners across supply networks
Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches
Deploying an energy efficient, secure & high-speed sidechain-based TinyML model for soil quality monitoring and management in agriculture
An improved memetic algebraic differential evolution for solving the multidimensional two-way number partitioning problem
Intrusion detection system based on hybridizing a modified binary grey wolf optimization and particle swarm optimization
Scheduling identical parallel machines involving flexible maintenance activities
Two-stage framework with improved U-Net based on self-supervised contrastive learning for pavement crack segmentation
A decision support system for improving doctors' prescribing behavior
Cross-database and cross-channel electrocardiogram arrhythmia heartbeat classification based on unsupervised domain adaptation
Temporal super-resolution reconstruction of weather radar echoes using a deep learning approach
Whale identification and size estimation in satellite imagery via intelligent subtle perception
A framework to explore innovation at SAP through bibliometric analysis of patent applications
A Choquet integral based fuzzy logic approach to solve uncertain multi-criteria decision making problem
Tax evasion behavior using finite automata: Experiments in Chile and Italy
Optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm
Fuzzy model tuning using simulated annealing
Reversible image hiding algorithm based on adaptive embedding mechanism
A multi-perspective knowledge-based system for customer service management
Multi-objective multi-view based search result clustering using differential evolution framework
Using Hidden Markov Models for paper currency recognition
A profitable trading algorithm for cryptocurrencies using a Neural Network model
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision
Traffic prediction by graph transformer embedded with subgraphs
Smart pricing scheme: A multi-layered scoring rule application
Fuzzy measure on vehicle routing problem of hospital materials
Face recognition with Symmetric Local Graph Structure (SLGS)
Personalized itinerary recommendation: Deep and collaborative learning with textual information
Parameter identification of chaotic dynamic systems through an improved particle swarm optimization
Heart disease prediction: Improved quantum convolutional neural network and enhanced features
A formal modeling platform for composing web services
Modelling rules for automating the Evented WEb by semantic technologies
An expert protein loop refinement protocol by molecular dynamics simulations with restraints
Managing partial outsourcing on information security in the presence of security externality
Multi-Bottleneck progressive propulsion network for medical image semantic segmentation with integrated macro-micro dual-stage feature enhancement and refinement
A fast RFID tag identification algorithm based on counter and stack
Towards CPU performance prediction: New challenge benchmark dataset and novel approach
Robust tongue segmentation by fusing region-based and edge-based approaches
Early diagnosis of Parkinson's disease from multiple voice recordings by simultaneous sample and feature selection
Predicting the time of supply interruption due to the repair of failed water pipes
Scalable and order invariant analog integrated circuit placement with Attention-based Graph-to-Sequence deep models
Using fuzzy NPV evaluation to justify the acquisition of business interruption insurance
Novel wound image segmentation with enhanced global context and Adaptive Channel-Aware Normalization
A new interval-valued knowledge measure for interval-valued intuitionistic fuzzy sets and application in decision making
DSEUNet: A lightweight UNet for dynamic space grouping enhancement for skin lesion segmentation
An evolutionary-based methodology for symbolic simplification of analog circuits using genetic algorithm and simulated annealing
When to test? Troubleshooting with postponed system test
A two-stage semi-supervised object detection method for SAR images with missing labels based on meta pseudo-labels
Development of the hybrid MCDM model for evaluating and selecting bucket wheel excavators for the modernization process
Globally-biased BIRECT algorithm with local accelerators for expensive global optimization
AgriTL-ViT: A Vision Transformer model with attention techniques for classification of plant leaf disease
Solutions to floating pollution with deep learning: A multi-camera joint-based method for floating object detection and tracking
Applying genetic algorithms with speciation for optimization of grid template pattern detection in financial markets
AI-driven tactical recommendations for table tennis: decision optimization with probabilistic interaction model and technical quantification system
Dynamic diversity control in genetic algorithm for mining unsearched solution space in TSP problems