yusuke1997/dblp-id-title huggingface dataset:
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning
Comparing aggregation methods in large-scale group AHP: Time for the shift to distance-based aggregation
Multi-hypothesis prediction for portfolio optimization: A structured ensemble learning approach to risk diversification
TPKE-QA: A gapless few-shot extractive question answering approach via task-aware post-training and knowledge enhancement
A minority oversampling approach for fault detection with heterogeneous imbalanced data
Multi-temporal ensemble for few-shot action recognition
CDG-Rec: Contrastive-Regularized diffusion with a Synergistic Dual-view Decoder for recommendation
Terminal-based zonal bus: A novel flexible transit system design and implementation
Cautious relational clustering: A thresholding approach
A deep learning approach using attention mechanism and transfer learning for electromyographic hand gesture estimation
Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception
Weaning outcome prediction from heterogeneous time series using Normalized Compression Distance and Multidimensional Scaling
Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance
A reusable discounting framework under jump-diffusion process
Design of variable structure control for fuzzy nonlinear systems
STKST-I: An Efficient Semantic Trajectory Search by Temporal and Semantic Keywords
Design and implementation of distributed expert systems: On a control strategy to manage the execution flow of rule activation
Using danmaku to analyze student cognitive behaviors in online classrooms
An evolutionary approach for combining results of recommender systems techniques based on collaborative filtering
Cost optimization of three-dimensional beamless reinforced concrete shear-wall systems via genetic algorithm
A tuning method for the architecture of neural network models incorporating GAM and GA as applied to bankruptcy prediction
Learning spatial-temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
Dynamic embedding-based deep reinforcement learning for heterogeneous capacitated VRPs with unloading time constraints
A simple migrating birds optimization algorithm with two search modes to solve the no-wait job shop problem
Sectional MinHash for near-duplicate detection
Development of a combinational framework to concurrently perform tissue segmentation and tumor identification in T1 - W, T2 - W, FLAIR and MPR type magnetic resonance brain images
Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines
Anomalous information diffusion in social networks: Twitter and Digg
The neural network models for IDS based on the asymmetric costs of false negative errors and false positive errors
Scheduling optimization of underground mine trackless transportation based on improved estimation of distribution algorithm
BSTrack: Robust UAV tracking using feature extraction of bilateral filters and sparse attention mechanism
An effective global structure-aware feature aggregation network for multi-modal medical clustering
Enhancing the reliability on data delivery and energy efficiency by combining swarm intelligence and community detection in large-scale WSNs
A neuro-inspired computational model for adaptive fault diagnosis
Detecting malware evolution using support vector machines
A new intelligent MCDM model for HCW management: The integrated BWM-MABAC model based on D numbers
Generalized spline nonlinear adaptive filters
A dual-layer path planning approach for ramp merging with integrated risk management
Artificial intelligence based switching frequency regulation with fast terminal sliding mode control for DC-DC step-down converters
Learning to extract adverse drug reaction events from electronic health records in Spanish
Adaptive fuzzy APSO based inverse tracking-controller with an application to DC motors
An energy efficient cluster based hybrid optimization algorithm with static sink and mobile sink node for Wireless Sensor Networks
MMEF-SSCT: A novel multidimensional and multi-level comprehensive evaluation framework for software supply chain threats
Feature selection using genetic algorithm and cluster validation
Long-term potential performance degradation analysis method based on dynamical probability model
LSOIT: Lexicon and Syntax Enhanced Opinion Induction Tree for Aspect-based Sentiment Analysis
A dynamic spatial-temporal deep learning framework for traffic speed prediction on large-scale road networks
Predictive monitoring of clinical pathways
Developing an approach to evaluate stocks by forecasting effective features with data mining methods
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Enhancing ontology-based antipattern detection using Bayesian networks
Fuzzy time series forecasting method based on hesitant fuzzy sets
Identifying target green 3C customers in Taiwan using multiattribute utility theory
Audio-visual occlusion-robust gender recognition and age estimation approach based on multi-task cross-modal attention
High-speed 3-D reconstruction based on phase shift coding and interleaved projection
Machine learning-driven prediction of tensile strength in 3D-printed PLA parts
Knowledge discovery in multiobjective optimization problems in engineering via Genetic Programming
Decarbonizing innovation investment strategy in competing supply chains considering technology spillovers and environmental regulation
FAME: a lightweight spatio-temporal network for model attribution of face-swap deepfakes
A novel dual networks-guided self-assessment framework for bearings fault mode diagnosis considering early fault feature diversity
A decision-making framework for blockchain platform evaluation in spherical fuzzy environment
Expert systems and evolutionary computing for financial investing: A review
A free-rider aware reputation system for peer-to-peer file-sharing networks
Decision making with dynamic uncertain continuous information
A neuro-fuzzy inference engine for Farsi numeral characters recognition
Optimizing a marketing expert decision process for the private hotel
Multilingual code refactoring detection based on deep learning
Advancing instance segmentation and WBC classification in peripheral blood smear through domain adaptation: A study on PBC and the novel RV-PBS datasets
Simulation of sequential data: An enhanced reinforcement learning approach
Analysis of controversies in the formulation and evaluation of restoration algorithms for MR Images
Probabilistic linguistic multi-attribute group decision making method considering the important degrees of experts and attributes
The Differentiated Creative Search (DCS): Leveraging differentiated knowledge-acquisition and creative realism to address complex optimization problems
Cost-sensitive semi-supervised deep learning to assess driving risk by application of naturalistic vehicle trajectories
Method and system for automated detection of sleep spindles using a single EEG channels based TEO and EMD
Project scheduling for engineer-to-order assembly process with renewable energy
MAML-based temporal supervised information maximizing GAN for few-shot time series data generation
Deep reinforcement learning-assisted large neighborhood search for online scheduling large-scale emergency tasks to Earth-observing satellites
Raising the hit rate for wafer fabrication by a simple constructive heuristic
Hybrid positioning technique using the existing Wi-Fi and LoRa technologies (Wi-Lo)
Data analytic approach for bankruptcy prediction
Integrated use of fuzzy c-means and convex programming for capacitated multi-facility location problem
Sequential methods for error correction of probabilistic wind power forecasts
How Do Stakeholders Perceive Transit Service Quality Attributes? - A study through Fuzzy-AHP
Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry
Finding landmarks within settled areas using hierarchical density-based clustering and meta-data from publicly available images
Modelling and simulation of mixed traffic flow with dedicated lanes for connected automated vehicles
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
A two-stage model for logistics service provider rank and order allocation in supply chain considering digital technology empowerment
ETH analysis and predictions utilizing deep learning
Utilizing historical data for corporate credit rating assessment
Research on supply chain optimization under different government subsidy strategies in the remanufacturing-insurance combination system
Fuzzy group decision-making for multi-format and multi-granularity linguistic judgments in quality function deployment
Adaptive fuzzy identification and predictive control for industrial processes
An unsupervised approach to online noisy-neighbor detection in cloud data centers
Weight restrictions in Data Envelopment Analysis: A comprehensive Genetic Algorithm based approach for incorporating value judgments
Fuzzy agent-based expert system for steel making process
Nonlinear neural network forecasting model for stock index option price: Hybrid GJR-GARCH approach
Modeling and PID tuning of a 3-DOF robotic manipulator using a novel Chaos-Artemisinin Optimizer
Fish-Expert: a web-based expert system for fish disease diagnosis
A systematic optimization approach for assembly sequence planning using Taguchi method, DOE, and BPNN
KFFPDet: Android malicious application detection system with assisted detection of adversarial samples
A multiverse optimization based colour image segmentation using variational mode decomposition
Chinese mineral question and answering system based on knowledge graph
A case-based reasoning system with the two-dimensional reduction technique for customer classification
Locating influence sources in social network by senders and receivers spaces mapping
Energy efficient FPGA implementation of an epileptic seizure detection system using a QDA classifier
Predicting construction delay risks in Saudi Arabian projects: A comparative analysis of CatBoost, XGBoost, and LGBM
Bilinear differential game for competitive advertising with stochastic disturbance and abrupt impact
Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression
Multi-fruit leaf disease detection and severity assessment using catch fish optimized deep learning model
Aggregation of orders in distribution centers using data mining
An improved fuzzy risk analysis based on a new similarity measures of generalized fuzzy numbers
Estimating and testing process yield with imprecise data
A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images
A strong-wind multi-level prediction and risk assessment method for high-speed railways considering the uncertainty range of wind speed fluctuations
Evidential reasoning for preprocessing uncertain categorical data for trustworthy decisions: An application on healthcare and finance
Learning traffic as videos: Short-term traffic flow prediction using mixed-pointwise convolution and channel attention mechanism
A temporal network analysis reveals the unprofitability of arbitrage in The Prosper Marketplace
SENTINEY: Securing ENcrypted mulTI-party computatIoN for Enhanced data privacY and phishing detection
Detecting offensive speech in conversational code-mixed dialogue on social media: A contextual dataset and benchmark experiments
Applying the data fusion technique to blog opinion retrieval
Online updating extended belief rule-based system for sensor-based activity recognition
An automated earthquake classification model based on a new butterfly pattern using seismic signals
A novel SMOTE-based resampling technique trough noise detection and the boosting procedure
Wavelet based adaptive backstepping controller for a class of nonregular systems with input constraints
Bayesian classifier for multi-oriented video text recognition system
Evaluation of new service concepts using rough set theory and group analytic hierarchy process
Acoustic cues from the floor: A new approach for fall classification
Breaking the structure of MaMaDroid
Robust image encryption and zero-watermarking scheme using SCA and modified logistic map
Pessimistic policy iteration with bounded uncertainty
Forecasting stock market crisis events using deep and statistical machine learning techniques
Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
Optimization of integrated scheduling of restricted channels, berths, and yards in bulk cargo ports considering carbon emissions
Signal transmission model for the substations grounding grid
A complex network-based response method for changes in customer requirements for design processes of complex mechanical products
Fuzzy integrated vulnerability assessment model for critical facilities in combating the terrorism
A novel initialization method of fixed point continuation for recommendation systems
Demand-driven storage allocation for optimizing order picking processes
APFA: Automated product feature alignment for duplicate detection
Hypergraph convolution network for urban traffic forecast incorporating high-order and multi-modal semantic correlations
Experimental analysis of multiple criteria for extractive multi-document text summarization
Potential offspring production strategies: An improved genetic algorithm for global numerical optimization
Motion estimation using two-stage predictive search algorithms based on joint spatio-temporal correlation information
Prediction of backbreak in open-pit blasting using fuzzy set theory
An intelligent and improved density and distance-based clustering approach for industrial survey data classification
A hybrid spatial data clustering method for site selection: The data driven approach of GIS mining
TGFed: Transferability-guided federated learning for unseen client adaptation
Optimizing differentiation and commonality levels among models in car line-ups: An empirical application of a nature-inspired heuristic mechanism
Comparison among three analytical methods for knowledge communities group-decision analysis
Evaluation of fuzzy neural network run-to-run controller using numerical simulation analysis for SISO process
Forecasting financial signal for automated trading: An interpretable approach
Fault-tolerant control of three-pole active magnetic bearing
The Memetic algorithm for the optimization of urban transit network
Efficient Services Management in Libraries using AI and Wireless techniques
PATRON: Exploring respiratory signal derived from non-contact face videos for face anti-spoofing
Two-dimensional multi-tooth hyperchaotic map and application in medical secure transmission
Evaluating techniques for learning non-taxonomic relationships of ontologies from text
Optimized homomorphic linear computation in privacy-preserving CNN inference
A deterministic annular crossover genetic algorithm optimisation for the unit commitment problem
Enhanced prediction of NBA players' salaries using hybrid ensemble models and multi-objective optimization techniques based on the 2022-23 season dataset
Generating multimedia presentations that summarize the behavior of dynamic systems using a model-based approach
Optimizing ontology alignment through Memetic Algorithm based on Partial Reference Alignment
Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm
A note on ranking generalized fuzzy numbers
OWGraMi: Efficient method for mining weighted subgraphs in a single graph
RG-index: An RDF graph index for efficient SPARQL query processing
Differential evolution based nearest prototype classifier with optimized distance measures for the features in the data sets
Temporal deep learning architecture for prediction of COVID-19 cases in India
Evaluation of online learning platforms based on probabilistic linguistic term sets with self-confidence multiple attribute group decision making method
DDDG: A dual bi-directional knowledge distillation method with generative self-supervised pre-training and its hardware implementation on SoC for ECG
RRT*ASV: Improved RRT* path planning method for Ackermann steering vehicles
Hierarchical optimization by spatial-temporal indictor in multi-scale decision pyramid for constrained large-scale multi-objective problems
Measuring time series heterogeneity for global learning
A novel Capsule Neural Network based model for drowsiness detection using electroencephalography signals
A matheuristic approach to the integration of worker assignment and vehicle routing problems: Application to home healthcare scheduling
Santiago urban dataset SUD: Combination of Handheld and Mobile Laser Scanning point clouds
Support vector machine classifier for diagnosis in electrical machines: Application to broken bar
Efficient sleep spindle detection algorithm with decision tree
Uncertainty-weighted prototype active learning in domain adaptive semantic segmentation
Adaptive fuzzy mimo control of induction motors
An improved fruit fly optimization algorithm and its application to joint replenishment problems
Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation
BSD: A multi-task framework for pulmonary disease classification using deep learning
FedLSC: Federated learning with layer similarity comparison for cross-institutional skin cancer image classification
The impact of estimation error on the dynamic order admission policy in B2B MTO environments
On the functional quality of service (FQoS) to discover and compose interoperable web services
DeepInteract: Multi-view features interactive learning for sequential recommendation
Data relative currency repair and anomaly detection based on rules
A reinforcement learning-based hybrid Aquila Optimizer and improved Arithmetic Optimization Algorithm for global optimization
PG-explorer: Resource Description Framework data exploration with property graphs
Scoring products from reviews through application of fuzzy techniques
Asynchronous security control for discrete singular piecewise homogeneous Markov jump systems with incomplete transition probabilities and DoS attacks
The impact of data obfuscation on the accuracy of collaborative filtering
A novel embedding approach to learn word vectors by weighting semantic relations: SemSpace
Strategic response for ease of doing business using case-based reasoning
Collaborative logistics for agricultural products of 'farmer + consumer integration purchase' under platform empowerment
Preference degree of triangular fuzzy numbers and its application to multi-attribute group decision making
Brain image segmentation using semi-supervised clustering
A fashion mix-and-match expert system for fashion retailers using fuzzy screening approach
Harmonic estimator design using improved gazelle optimization algorithm by chaos for real field signal
Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems
A many-objective evolutionary algorithm under diversity-first selection based framework
Multi-position two-phase person-position matching decision-making with intermediary participation
On basic arithmetic operations for interval-valued intuitionistic fuzzy sets using the Hamming distance with their application in decision making
Phase-Glue: An interpretable and efficient backscattered electron-energy dispersive X-ray spectroscopy (BSE-EDS) mapping analysis approach to dissect the phase assemblage of cementitious material systems
Towards automatic tweet generation: A comparative study from the text summarization perspective in the journalism genre
Learning multi-behavior user intent for session-based recommendation
A CNN-LSTM framework for flight delay prediction
Unsupervised corrupt data detection for text training
POI recommendation for occasional groups Based on hybrid graph neural networks
Saliency infused dialogue response generation: Improving task oriented text generation using feature attribution
Contrastive learning with large language models for medical code prediction
Leveraging personal photos to inferring friendships in social network services
Trust-based core social graph convolution: An innovative framework for location recommendation
Recurrent neural networks employing Lyapunov exponents for analysis of doppler ultrasound signals
Mixed pooling of seasonality for time series forecasting: An application to pallet transport data
A Bayesian based approach for analyzing customer's online sales data to identify weights of product attributes
Prior feature efficient diffusion model for 3D MRI image super-resolution improving brain connectomics analysis
Intelligent spider for information retrieval to support mining-based price prediction for online auctioning
USV formation navigation decision-making through hybrid deep reinforcement learning using self-attention mechanism
Personalized information retrieval system in the framework of fuzzy logic
Personalized recommendation system based on product specification values
A triplet graph convolutional network with attention and similarity-driven dictionary learning for remote sensing image retrieval
A steganographic scheme by fully exploiting modification directions
AI-based Twitter framework for assessing the involvement of government schemes in electoral campaigns
Multi-view contrastive learning with maximal mutual information for continual generalized category discovery
Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions
kNN processing with co-space distance in SoLoMo systems
Prediction of dynamic hysteresis loops of nano-crystalline cores
A compensatory fuzzy approach to multi-objective linear supplier selection problem with multiple-item
Comparison between Bayesian network classifiers and SVMs for semantic localization
Termite life cycle optimizer
Few-shot dialogue state tracking via context ranking and dynamic contrastive decoding
Tracking foresters and mapping tree stem locations with decimeter-level accuracy under forest canopies using UWB
Swash: A collective personal name matching framework
A Cascaded transition recurrent feature network (CTRFN) based Paramount Transfer learning (PTL) model for traffic congestion prediction
Research on multi-objective optimization of multi-endpoint VRP with time window for the distribution of seasonal products by multi-homing heterogeneous fleets
A hybrid active contour model using local region-based K-medoids for infrared image segmentation
Ensemble Belief Rule-Based Model for complex system classification and prediction
T3SRS: Tensor Train Transformer for compressing sequential recommender systems
Domain knowledge integrated CAM system based on multi-objective path optimal planning and deep convolutional neural network
Using evidence based content trust model for spam detection
DMtes:A dynamic multimodal framework with environmental temporal-awareness for road surface snow condition monitoring
A blockchain empowered federated differentiable search index framework for secure information collaboration
Forecasting volatility based on wavelet support vector machine
Credit scoring using the hybrid neural discriminant technique
Meta web service: building web-based open decision support system based on web services
Measuring dynamic inefficiency in the presence of corporate social responsibility and input indivisibilities
Optimal Fuzzy Inference System incorporated with stability index tracing: An application for effective load shedding
An integrated multicriteria group decision making methodology for property concealment risk assessment under Z-number environment
A stochastic neighborhood search approach for airport gate assignment problem
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression
A preference elicitation framework for automated planning