yusuke1997/dblp-id-title huggingface dataset:
P2S distance induced locally conjugated orthogonal subspace learning for feature extraction
General Variable Neighborhood Search for Maximum Diversity Problem with Capacity and Budget Constraints
Petri net based formal analysis for multimedia conferencing services orchestration
Random transformations to improve mitigation of query-based black-box attacks
GCENet: A geometric correspondence estimation network for tracking and loop detection in visual-inertial SLAM
Integration of environmental considerations in quality function deployment by using fuzzy logic
A novel fuzzy scenario-based stochastic general best-worst method
Gradient boosting trees for auto insurance loss cost modeling and prediction
Visual-inertial object tracking: Incorporating camera pose into motion models
EPAN-SERec: Expertise preference-aware networks for software expert recommendations with knowledge graph
Heterogeneity of technological structures between EU countries: An application of complex systems methods to Input-Output Tables
Entropies based detection of epileptic seizures with artificial neural network classifiers
Artificial conversations for customer service chatter bots: Architecture, algorithms, and evaluation metrics
Evolutionary approach for integration of multiple pronunciation patterns for enhancement of dysarthric speech recognition
3D multi-view tumor detection in automated whole breast ultrasound using deep convolutional neural network
Modeling risk based maintenance using fuzzy analytic network process
Fault diagnosis using liquid state machine with spiking-timing-dependent plasticity learning rule
The verification of hen egg types by the classification of ultra-weak photon emission data
Classifying for images based on the extracted color scales and representative probability density functions
Towards efficient unconstrained handwriting recognition using Dilated Temporal Convolution Network
Uncertainty oriented pattern extracting and analyzing via sliding window control
Towards stabilization and navigational analysis of humanoids in complex arena using a hybridized fuzzy embedded PID controller approach
Chaotic and Paillier secure image data sharing based on blockchain and cloud security
The difference of determinants of acceptance and continuance of mobile data services: A value perspective
An efficient combination of multi-objective evolutionary optimization and reliability analysis for reliability-based design optimization of truss structures
A new variable topology for evolutionary hardware design
Semi-fragile neural network watermarking for content authentication and tampering localization
A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
Utilization of information from CNN feature maps for offline word-level writer identification
A hybrid fuzzy evaluation method for safety assessment of food-waste feed based on entropy and the analytic hierarchy process methods
A without-stage-annotation insomnia assessment using single-channel electroencephalography
Fuzzy MaxGWMA chart for identifying abnormal variations of on-line manufacturing processes with imprecise information
Unbiased news recommendation model combining time and content
Adaptive weighted rain streaks model-driven deep network for single image deraining
An empirical methodology for developing stockmarket trading systems using artificial neural networks
Daily combined economic emission scheduling of hydrothermal systems with cascaded reservoirs using self organizing hierarchical particle swarm optimization technique
Adapting Searchy to extract data using evolved wrappers
FNContra: Frequency-domain Negative Sample Mining in Contrastive Learning for limited-data image generation
A mean-maverick game cross-efficiency approach to portfolio selection: An application to Paris stock exchange
Eliciting knowledge from language models with automatically generated continuous prompts
An effective deep recurrent network with high-order statistic information for fault monitoring in wastewater treatment process
A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data
Graph Contrastive Topic Model
Oil holdup prediction of oil-water two phase flow using thermal method based on multiwavelet transform and least squares support vector machine
Wordification: Propositionalization by unfolding relational data into bags of words
Influence prediction model for marketing campaigns on e-commerce platforms
Effect of exogenous market sentiment indicators in stock price direction prediction
LMSFF: Lightweight multi-scale feature fusion network for image recognition under resource-constrained environments
An ensemble belief rule base model for pathologic complete response prediction in gastric cancer
Multispectral skin patterns analysis using fractal methods
Selection of virtual team members for smart port development projects through the application of the direct and indirect uncertain TOPSIS method
Localization of the slab information in factory scenes using deep convolutional neural networks
An efficient hierarchical model for multi-source information fusion
Mild evaluation policy via dataset constraint for offline reinforcement learning
Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation
Dynamic adversarial domain adaptation based on multikernel maximum mean discrepancy for breast ultrasound image classification
A hybrid ant colony optimization for continuous domains
Towards enhancing prototypes driven by graph convolutional network for domain adaptation
A two-stage adaptive fruit fly optimization algorithm for unrelated parallel machine scheduling problem with additional resource constraints
IFusionQuad: A novel framework for improved aspect-based sentiment quadruple analysis in dialogue contexts with advanced feature integration and contextual CloBlock
An improved binary dandelion algorithm using sine cosine operator and restart strategy for feature selection
Spatiotemporal dual-branch feature-guided fusion network for driver attention prediction
An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks
Content-based medical retrieval systems with evidence-based diagnosis for enhanced clinical decision support
Transient analysis of production performance and energy consumption in geometric flexible production systems
Failure prediction in the Russian bank sector with logit and trait recognition models
Support Vector Machines for crop/weeds identification in maize fields
Spatio-temporal modeling of climate change impacts on drought forecast using Generative Adversarial Network: A case study in Africa
Efficient statistical estimation for a non-randomly distributed system with application to large-scale data neural network
An amalgamation of cognitive aspects in software engineering: A content analysis
A classification tree approach to identify key factors of transit service quality
A SVM-based discretization method with application to associative classification
FPGA-based implementation of an intelligent simulator for stand-alone photovoltaic system
Geometric approach for ranking generalized trapezoidal fuzzy numbers and its application in selecting security guard service company
A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development
Probability learning based tabu search for the budgeted maximum coverage problem
Conflict elimination based on opinion dynamics in fuzzy group decision-making
Virtual metrology in semiconductor manufacturing: Current status and future prospects
An eccentric radial-based importance sampling method for reliability analysis
Clustering the ecological footprint of nations using Kohonen's self-organizing maps
MFCLDTA: Multi-scale feature contrastive learning for predicting drug-target binding affinity
The sorted-waste capacitated location routing problem with queuing time: A cross-entropy and simulated-annealing-based hyper-heuristic algorithm
Towards integrated dialogue policy learning for multiple domains and intents using Hierarchical Deep Reinforcement Learning
Novel term weighting schemes for document representation based on ranking of terms and Fuzzy logic with semantic relationship of terms
A cooperative coevolutionary optimization design of urban transit network and operating frequencies
A noise-robust xLSTM-based method for fault diagnosis in gas-insulated Switchgear using acoustic signals under strong noise interference
Approximate Dantzig-Wolfe decomposition to solve a class of variational inequality problems with an illustrative application to electricity market models
Corrigendum to "Air passenger demand forecasting and passenger terminal capacity expansion: A system dynamics framework" [Expert Systems with Applications 37 (3) (2010) 2324-2339]
Fragment-energy audio watermarking resilient to de-synchronization attacks
Low-light stereo image enhancement and de-noising in the low-frequency information enhanced image space
Proposal of a novel quaternionic integer reversible Racah transform and a hyperchaotic system for secure encryption of colored medical images
Majority data-based overlapping shift technique for imbalanced datasets classification with small disjuncts and outliers
CDDS: Constraint-driven document summarization models
MBRep: Motif-based representation learning in heterogeneous networks
A new model for evaluating subjective online ratings with uncertain intervals
SEWAR: A corpus-based N-gram approach for extracting semantically-related words from Arabic medical corpus
Aspect-augmented distillation of task-oriented dialogues to small language models
A new evaluation model for intellectual capital based on computing with linguistic variable
A combination prediction model based on Theil coefficient and induced continuous aggregation operator for the prediction of Shanghai composite index
Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm
Multi-step reward ensemble methods for adaptive stock trading
Fallen person detection for autonomous driving
Student modeling and assessment in intelligent tutoring of software patterns
A hybrid hub-and-spoke postal logistics network with realistic restrictions: A case study of Korea Post
Ant colony optimization based sensor deployment protocol for wireless sensor networks
An agent-based paradigm for virtual modeling
Prediction of spontaneous heating susceptibility of Indian coals using fuzzy logic and artificial neural network models
Reasoning with principles
Hybrid multiple instance learning network for weakly supervised medical image classification and localization
TANGNN: A concise, scalable and effective graph neural networks with Top-m attention mechanism for graph representation learning
Fused robust geometric nonparallel hyperplane support vector machine for pattern classification
Context-prediction performance by a dynamic Bayesian network: Emphasis on location prediction in ubiquitous decision support environment
A Long Short-Term Memory Model using Kernel Density Estimation for Forecasting Apartment Prices in Seoul City
CROSE: Low-light enhancement by CROss-SEnsor interaction for nighttime driving scenes
IoT-enabled smart farming: A cloud-based approach for polyhouse automation
Context-aware mutual learning for semi-supervised human activity recognition using wearable sensors
A non-invasive methodology for the grade identification of astrocytoma using image processing and artificial intelligence techniques
Research on global trajectory planning for UAV based on the information interaction and aging mechanism Wolfpack algorithm
Unraveling the dynamics of social governance innovation: A synergistic approach employing NLP and network analysis
Enhanced movie content similarity based on textual, auditory and visual information
DQN-based ethical decision-making for self-driving cars in unavoidable crashes: An applied ethical knob
Mining the change of customer behavior in an internet shopping mall
An adjustable fuzzy chance-constrained network DEA approach with application to ranking investment firms
Metabolic pathway synthesis based on predicting compound transformable pairs by using neural classifiers with imbalanced data handling
NLP-based faceted search: Experience in the development of a science and technology search engine
A quantitative methodology for acquiring engineering characteristics in PPHOQ
Features processing for random forest optimization in lung nodule localization
Extracting offline retail shopping patterns: a restricted Boltzmann machines approach to customer segmentation and cross-selling
Friend recommendation for cross marketing in online brand community based on intelligent attention allocation link prediction algorithm
Leveraging multimodal features for knowledge graph entity alignment based on dynamic self-attention networks
Trust risk-aware multiple decision-makers consensus seeking under dynamic social network: towards sustainable post-disaster emergency recovery plan selection
Particle swarm optimization algorithm for the berth allocation problem
A study of financial insolvency prediction model for life insurers
Anomaly and intrusion detection using deep learning for software-defined networks: A survey
A review of data mining applications for quality improvement in manufacturing industry
SFLES: Shuffled differentially private federated learning with early-stopping strategy
Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images
Deadlock control and hybrid social spider scheduling algorithm for two-stage assembly permutation flowshop with limited buffers
Stock price prediction using deep learning and frequency decomposition
Differential evolution-based optimized hierarchical extreme learning machines for fault section diagnosis of large-scale power systems
Incremental updates of closed frequent itemsets over continuous data streams
Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed
Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor
Opposition-based moth swarm algorithm
Automatic syllabification for Spanish using lemmatization and derivation to solve the prefix's prominence issue
Robust technical trading strategies using GP for algorithmic portfolio selection
Learning knowledge graph embedding with a dual-attention embedding network
Reader comes first: A demand-oriented readability controllable summarization
Applying the MOVNS (multi-objective variable neighborhood search) algorithm to solve the path planning problem in mobile robotics
An evolutionary multi-objective optimization system for earthworks
Model-agnostic post-hoc explainability for recommender systems
Mining the co-movement in the Taiwan stock funds market
A novel algorithm based on a modified PSO to predict 3D structure for proteins in HP model using Transfer Learning
Peer-to-peer deep learning with non-IID data
Bayesian based lifetime prediction for high-power white LEDs
DCYOLO: Dual negative weighting label assignment and cross-layer decouple head for YOLO in remote sensing images
A full ranking methodology in data envelopment analysis based on a set of dummy decision making units
Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies
Using situation calculus for e-business agents
Automatic feature extraction using genetic programming: An application to epileptic EEG classification
Data fusion based on Searchlight analysis for the prediction of Alzheimer's disease
MLENet: Multi-level efficient network based on single-scale feature extraction for human keypoint estimation
HAL-Net: A Historical Analogy Learning Network for Adaptive and Interpretable Pandemic Forecasting
Region of interest-based medical image encryption technique based on chaotic S-boxes
Comments on "Fuzzy logic combining controller design for chaos control of a rod-type plasma torch system"
CEPchain: A graphical model-driven solution for integrating complex event processing and blockchain
Fighting post-truth using natural language processing: A review and open challenges
Semantic similarity measures for enhancing information retrieval in folksonomies
An expert system manipulating knowledge to help human learners into virtual environment
A knowledge-based decision support system for shipboard damage control
KGroot: A knowledge graph-enhanced method for root cause analysis
Allocating a fixed cost based on a DEA-game cross efficiency approach
An augmented large neighborhood search method for solving the team orienteering problem
Significance-based discriminative sequential pattern mining
Benchmarking the efficiency of water and sewerage companies: Application of the stochastic non-parametric envelopment of data (stoned) method
Evolutionary multi-task robust architecture search for network intrusion detection
Temporally consistent segmentation of main coronary artery in X-ray coronary angiography sequences
A new hybrid data mining technique using a regression case based reasoning: Application to financial forecasting
Deep reinforcement learning approach with hybrid action space for mobile charging in wireless rechargeable sensor networks
Flight delay prediction from spatial and temporal perspective
Federated recommender system with data valuation for E-commerce platform
Enhanced automatic weld seam tracking: Bayesian optimization and information-based pruning of compact denoising and object detection models
Multi-objective item evaluation for diverse as well as novel item recommendations
An optimal method for prediction and adjustment on byproduct gas holder in steel industry
TIPTrack: Time-series information prompt network for RGBT tracking
A robust video text detection approach using SVM
Optimization of wire electrical discharge machining for pure tungsten using a neural network integrated simulated annealing approach
A neural tree and its application to spam e-mail detection
STFE-VC: Spatio-temporal feature enhancement for learned video compression
Gabor filter-based hand-pose angle estimation for hand gesture recognition under varying illumination
HCNM: Hierarchical cognitive neural model for small-sample image classification
A multiple association-based unsupervised feature selection algorithm for mixed data sets
Forecasting demand of commodities after natural disasters
Explicit Context Integrated Recurrent Neural Network for applications in smart environments
The cutoff transaction size and Gauss cost functions to the information value applying to the newsboy model
Human-computer interaction design and evaluation of a virtual reality-based comprehensive training system for vascular interventional surgery
Video violence recognition and localization using a semi-supervised hard attention model
Intelligent condition monitoring and prognostics system based on data-fusion strategy
Adaptive model splitting with sample-efficient reinforcement learning for federated learning
Dense neural network based arrhythmia classification on low-cost and low-compute micro-controller
Support vector machine based multiagent ensemble learning for credit risk evaluation
Belief rule-based methodology for mapping consumer preferences and setting product targets
Technological innovations in asthma patient monitoring and care
Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine
Dual-space relation-aware entity representation learning for personalized compatibility modeling
Extractive single-document summarization based on genetic operators and guided local search
Comparing forecasting approaches for Internet traffic
Causality-driven attribute editing with bidirectional generative network
SURE: A method for decision-making under uncertainty
Document-level sentiment classification: An empirical comparison between SVM and ANN
Integrating gray system theory and logistic regression into case-based reasoning for safety assessment of thermal power plants
Medication recommendation via dual molecular modalities and multi-step enhancement
Effects of unlimited angular motion cue and cue discrepancy on simulator sickness
Markov game based on reinforcement learning solution against cyber-physical attacks in smart grid
Developing an ANN-based early warning model for airborne particulate matters in river banks areas
2-Dimension linguistic PROMETHEE methods for multiple attribute decision making
Uncertainty sampling-based active learning for protein-protein interaction extraction from biomedical literature
ESO: An enhanced snake optimizer for real-world engineering problems
Physics-guided federated learning as an enabler for digital twins
Mammographic case base applied for supporting image diagnosis of breast lesion
Graph-based joint pandemic concern and relation extraction on Twitter
Sentic PROMs: Application of sentic computing to the development of a novel unified framework for measuring health-care quality
Sparse representation of two- and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms
Extending knowledge-driven activity models through data-driven learning techniques
AutoQML: Automatic generation and training of robust quantum-inspired classifiers by using evolutionary algorithms on grayscale images
Change detection of ocean wave characteristics
Data mining source code for locating software bugs: A case study in telecommunication industry
Construction and evaluation of structured association map for visual exploration of association rules
Trading strategy of structured mutual fund based on deep learning network
An adaptive neuro-fuzzy inference system approach for prediction of tip speed ratio in wind turbines
MS-GLFGCN: Multi-stream global-local fusion graph convolutional network for skeleton-based gait recognition
Missing well logs reconstruction based on cascaded bidirectional long short-term memory network
Forecasting volatility of oil price using an artificial neural network-GARCH model
Automated process adjustments of chip cutting operations using neural network and statistical approaches
Discrete robust optimization algorithm based on Taguchi method for structural crashworthiness design
A double inference engine belief rule base for oil pipeline leakage
Systematic identification of differential gene network to elucidate Alzheimer's disease
Geometric SMOTE for regression
Improving surface defect detection with context-guided asymmetric modulation networks and confidence-boosting loss
A game-theoretical approach on the construction of a novel agri-food supply chain model supported by the government
Extended flexible capacity planning methodology with flight network contribution to the airline fleet assignment problem
S2-PCN: Joint skeleton and surface point cloud completion network via geometry disentangle
Pruning remote photoplethysmography networks using weight-gradient joint criterion
Learning feature-projection based classifiers
Improving medical decision trees by combining relevant health-care criteria
Two-dimensional residual-space-maximized packing
Robust multi-focus image fusion using focus property detection and deep image matting
An anonymous multi-server authenticated key agreement scheme based on trust computing using smart cards and biometrics
Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm
An offline-online collaborative optimization framework for the energy-efficient distributed hybrid flow shop scheduling problem with blocking constraints in electric anode carbon rod manufacturing system
A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis
An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange
Tourism recommendation system based on semantic clustering and sentiment analysis
A generic methodology for developing fuzzy decision models