yusuke1997/dblp-id-title huggingface dataset:
Swin transformer based vehicle detection in undisciplined traffic environment
Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network
A hybrid decision trees-adaptive neuro-fuzzy inference system in prediction of anti-HIV molecules
Thresholds based outlier detection approach for mining class outliers: An empirical case study on software measurement datasets
Cross-domain recommendation via interest-aware pseudo-overlapping user alignment
SCRIPT: A Scalable Continual Reinforcement Learning Framework for Autonomous Penetration Testing
An end-to-end intelligent welding defect detection system for low-quality X-ray images with adaptive progressive learning
QATCH - An adaptive framework for software product quality assessment
Accurate detection of surface defects by decomposing unreliable tasks under boundary guidance
Ordered Weighted Average Support Vector Regression
Agent-based framework to individual tracking in unconstrained environments
Distributional loss for convolutional neural network regression and application to parameter estimation in satellite navigation signals
Enhanced neural video compression for cloud gaming videos with aligned frame generation
Robust unsupervised domain adaptation by retaining confident entropy via edge concatenation
A fuzzy decision support system for digital camera selection based on user preferences
Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO 2 max
Decision support and intelligent systems in the textile and apparel supply chain: An academic review of research articles
Similarity-based active learning methods
Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data
Learning salient self-representation for image recognition via orthogonal transformation
Outbound logistics exception monitoring: A multi-perspective ontologies' approach with intelligent agents
Reference synthetic-dataset for novelty detection in oil production data: A perceptive evaluation along with case studies from 51 oilfields
Deep triplet residual quantization
An association rule mining method for estimating the impact of project management policies on software quality, development time and effort
Cross-session interest extraction for recommendation
An enhanced ACO algorithm to select features for text categorization and its parallelization
Automatic on-the-fly extrinsic camera calibration of onboard vehicular cameras
Deep learning for downward longwave radiative flux forecasts in the Arctic
Process capability analyses based on fuzzy measurements and fuzzy control charts
Analysis of factors that influence the performance of biometric systems based on EEG signals
Evaluating the strength and deformability properties of Misis fault breccia using artificial neural networks
Smart training: Mask R-CNN oriented approach
A parallel neural network approach to prediction of Parkinson's Disease
Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews
Optimal privacy preservation strategies with signaling Q-learning for edge-computing-based IoT resource grant systems
Highly accurate and fast YOLOv4-based polyp detection
Unsupervised multi-source variational domain adaptation for inter-subject SSVEP-based BCIs
SOCF: A correlation filter for real-time UAV tracking based on spatial disturbance suppression and object saliency-aware
Few-shot incremental learning in the context of solar cell quality inspection
Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition
A multi-vision sensor-based fast localization system with image matching for challenging outdoor environments
A novel analytic method of power quality using extension genetic algorithm and wavelet transform
Extracting semantic link network of words from text for semantics-based applications
Reversing deskilling in the gig economy: strategies for gig platforms
Enterprise risk forecasting in human resource management in cloud computing using cascaded block visual modelling, artificial hummingbird guided graph attention networks
Praedixi, Redegi, Cogitavi: Adaptive knowledge for resource-aware semantic reasoning
City-level population prediction in Japan from 2020 to 2100 by machine learning
Unlocking visual data to enhance the accuracy of AI-enabled mass valuation of urban houses: An Australian city case study
Online option price forecasting by using unscented Kalman filters and support vector machines
Knowledge management-enabled health care management systems: capabilities, infrastructure, and decision-support
DeepScene: Scene classification via convolutional neural network with spatial pyramid pooling
Automatic detection of scratching events on vehicles with audio-based spectrograms
A novel hybrid model for crude oil price forecasting based on MEEMD and Mix-KELM
Storage-optimizing clustering algorithms for high-dimensional tick data
Using Gaussian membership functions for improving the reliability and robustness of students' evaluation systems
Artificial intelligence technology as a tool for initial GDM screening
Component selection system for green supply chain
Multimodal vehicle trajectory prediction based on intention inference with lane graph representation
Biomarker discovery from high-throughput data by connected network-constrained support vector machine
Incremental clustering of mixed data based on distance hierarchy
Late multimodal fusion for image and audio music transcription
Multi-objective fuzzy partial disassembly line balancing considering preventive maintenance scenarios using enhanced hybrid artificial bee colony algorithm
Stock Ranking with Multi-Task Learning
Learning to extract domain-specific relations from complex sentences
A click-through rate model of e-commerce based on user interest and temporal behavior
A hybrid approach for constructing suitable and optimal portfolios
Active contour model via multi-population particle swarm optimization
Modeling and application of a customized knowledge graph for railway alignment optimization
An application of intelligent techniques and semantic web technologies in e-learning environments
A dynamic neighborhood balancing-based multi-objective particle swarm optimization for multi-modal problems
Bidding strategy for agents in multi-attribute combinatorial double auction
An incremental genetic algorithm for classification and sensitivity analysis of its parameters
Solving reachability problems on data-aware workflows
Dynamics of information propagation and intervention in the multiplatform coupled networks
Design and implementation of a decentralized document management system
Deep optimization of model predictive control performance for wind turbine yaw system based on intelligent fuzzy deduction
A knowledge-based system for conveyor equipment selection
Extending latent semantic analysis to manage its syntactic blindness
RS-GCL: Randomized SVD-based graph-enhanced contrastive learning for recommendation
Universal source-free domain adaptation method with feature decomposition for machinery fault diagnosis
A hybrid intelligent system for PID controller using in a steel rolling process
Increasing the discriminatory power of DEA in the presence of the undesirable outputs and large dimensionality of data sets with PCA
The implementation of SOA within grid structure for disaster monitoring
Video object segmentation based on motion-aware ROI prediction and adaptive reference updating
Optimal releasing strategy of enterprise software firms facing the competition from cloud providers
Fuzzy inference system based automatic Brunnstrom stage classification for upper-extremity rehabilitation
An evaluation on the multi-agent system based structural health monitoring for large scale structures
Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model
A multi-user perspective for personalized email communities
A velocity-based butterfly optimization algorithm for high-dimensional optimization and feature selection
When comments aren't what they seem: The social media comment toxicity detector for understanding contextual comments
A Web-enabled hybrid approach to strategic marketing planning: Group Delphi+a Web-based expert system
Value-at-risk backtesting: Beyond the empirical failure rate
Accurate synthesis of sensor-to-machined-surface image generation in carbon fiber-reinforced plastic drilling
Metaheuristic methods to identify parameters and orders of fractional-order chaotic systems
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
LRCN: Layer-residual Co-Attention Networks for visual question answering
An expert system to identify co-regulated gene groups from time-lagged gene clusters using cell cycle expression data
An empirical study of empty prediction of multi-label classification
An Artificial Intelligence-based language modeling framework
Learning robust travel preferences via check-in masking for next POI recommendation
Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy
A novel gray FUCOM method and its application for better video games experiences
An incremental approach for discovering medical knowledge from texts
Corrigendum to "Text-independent speaker verification using ant colony optimization-based selected features" [Expert Systems with Applications 38 (1) (2011) 620-630]
Prediction of spontaneous ventricular tachyarrhythmia by an artificial neural network using parameters gleaned from short-term heart rate variability
Using Wikipedia concepts and frequency in language to extract key terms from support documents
LED-Net: A lightweight and efficient dual-branch convolutional neural network for high-performance fruit tree branches semantic segmentation on mobile devices
A hybrid safe semi-supervised learning method
Behind the cues: A benchmarking study for fake news detection
Integration and comparison of multi-criteria decision making methods in safe route planner
MADM method based on prospect theory and evidential reasoning approach with unknown attribute weights under intuitionistic fuzzy environment
Text classification with improved word embedding and adaptive segmentation
Simple and efficient Hash sketching for tree-structured data
Manifold knowledge-guided feature fusion network for multimodal sentiment analysis
A multi-secret sharing scheme for 3D solid objects
Glaucoma detection using adaptive neuro-fuzzy inference system
An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability
Bagging Supervised Autoencoder Classifier for credit scoring
Incorporating time-interval sequences in linear TV for next-item prediction
IntegralGP: Volumetric estimation of subterranean geochemical properties in mineral deposits by fusing assay data with different spatial supports
Topology-aware dynamic high-order graph learning for hyperspectral image classification
Data driven tools to assess the location of photovoltaic facilities in urban areas
Evolving cloud-based system for the recognition of drivers' actions
SeismoNet: A proximal policy optimization-based earthquake early warning system using dilated convolution layers and online data augmentation
Linking the benchmarking tool to a knowledge-based system for performance improvement
Employing transaction aggregation strategy to detect credit card fraud
Path-based reasoning approach for knowledge graph completion using CNN-BiLSTM with attention mechanism
Reliability allocation method based on minimizing implementation risk
Multivariate fuzzy neural network interpolation operators and applications to image processing
Deep low-rank tensor embedded network for hyperspectral image super-resolution
Decision-making in sport management based on the OWA operator
Designing a sustainable plastic bottle reverse logistics network: A data-driven optimization approach
Surface EMG feature disentanglement for robust pattern recognition
Support vector machine under uncertainty: An application for hydroacoustic classification of fish-schools in Chile
A three-stage algorithm for coordinate controlling of multi-intersection signal
Designing an integrated AHP based decision support system for supplier selection in automotive industry
An integrated model for strategic supply chain design: Formulation and ABC-based solution approach
Prediction system for water-producing gas wells using edge intelligence
Simulated multimodal deep facial diagnosis
Developing strategies for overcoming barriers to knowledge sharing based on conversational knowledge management: A case study of a financial company
Parametric and nonparametric evolutionary computing with a content-based feature selection approach for parallel categorization
Comparison of machine learning algorithms for dynamic performance assessment in complex shapes manufacturing of hybrid particle-reinforced composite
A dynamic case-based reasoning system for responding to infectious disease outbreaks
Scalable multiple kernel clustering with the tensorized coordination of consensus and individual partitions
Exploring the landscape of automatic cerebral microbleed detection: A comprehensive review of algorithms, current trends, and future challenges
ECA rule learning in dynamic environments
Pooling-based Visual Transformer with low complexity attention hashing for image retrieval
A new PSO-based approach to fire flame detection using K-Medoids clustering
A modified particle swarm optimization for production planningproblems in the TFT Array process
A comparative study of dimensionality reduction techniques to enhance trace clustering performances
Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network
The distribution processing and replenishment policy of the supply chain under asymmetric information and deterioration: Insight into the information value
Automatic detection of false positive RFID readings using machine learning algorithms
Wind speed forecasting using multi-scale feature adaptive extraction ensemble model with error regression correction
Joint exploring of risky labeled and unlabeled samples for safe semi-supervised clustering
Fuzzy logic based PWM control and neural controlled-variable estimation of pneumatic artificial muscle actuators
A novel intrusion detection system based on hierarchical clustering and support vector machines
Boosting quantum rotation gate embedded slime mould algorithm
Graphene and RT-duroid based microstrip patch antenna with complementary SSTR metamaterial for dual band 5G communication
A text guided cross modal joint inpainting algorithm for ancient murals
AppleYOLO: Apple yield estimation method using improved YOLOv8 based on Deep OC-SORT
MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction
Composite quantile regression neural network with applications
Gamma-lindley regression cure model for corporate credit default prediction
Genetic algorithm-optimized PLS for detecting adulteration in cinnamon powder via FT-IR spectroscopy
Multi-criteria ABC analysis using artificial-intelligence-based classification techniques
Using a hybrid meta-evolutionary rule mining approach as a classification response model
Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach
CHAMFormer: Dual heterogeneous three-stages coupling and multivariate feature-aware learning network for traffic flow forecasting
Developing a personal decision support tool for hospital capacity assessment and querying
pNILM: Whole-process privacy preservation for non-intrusive load monitoring based on deep neural networks
Robust truncated support vector regression
An adaptive feature selection schema using improved technical indicators for predicting stock price movements
Performance evaluation of an automatic inspection system of weld defects in radiographic images based on neuro-classifiers
Distributed multi-agent reinforcement learning via interactive relationship construction and behavior prediction for confrontation scenario
Design of an enhanced adaptive self-organizing fuzzy sliding-mode controller for robotic systems
Variable-constraint classification and quantification of radiology reports under the ACR Index
Estimation and forecasting with logarithmic autoregressive conditional duration models: A comparative study with an application
Dynamic optimization in binary search spaces via weighted superposition attraction algorithm
Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey
Consistent data operations for multi-databases in extended possibility-based data models
A framework for co-evolutionary algorithm using Q-learning with meme
Novel yield model for integrated circuits with clustered defects
Using experience classification for training non-Markovian tasks
Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model
Latent semantics in Named Entity Recognition
Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques
Tree-structured multi-stage principal component analysis (TMPCA): Theory and applications
Enhancing the precision of content analysis in content adaptation using entropy-based fuzzy reasoning
A lightweight face-assisted object detection model for welding helmet use
A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system
External force estimation and disturbance rejection for Micro Aerial Vehicles
OWA-based linkage method in hierarchical clustering: Application on phylogenetic trees
New framework that uses patterns and relations to understand terrorist behaviors
Towards interpretability in fingerprint based indoor positioning: May attention be with us
Heterogeneous graph completion collaborative network for attribute-missing heterogeneous graph representation learning
A neural networks approach for forecasting the supplier's bid prices in supplier selection negotiation process
Real-time implementation of Chebyshev neural network observer for twin rotor control system
A genetic fuzzy expert system for automatic question classification in a competitive learning environment
A systematic review of scholar context-aware recommender systems
VGMTNet: A variational Gaussian mixture label transfer network for industrial fault diagnosis
Constructing a multi-valued and multi-labeled decision tree
AMAZING: A sentiment mining and retrieval system
The prediction of promoter sequences based on the chemical features
Optimal power flow using a hybridization algorithm of arithmetic optimization and aquila optimizer
Incomplete multi-view clustering with cross-graph diversity and improved nonconvex tensor regularizer
MMHFNet: Multi-modal and multi-layer hybrid fusion network for voice pathology detection
A simple and better algorithm to solve the vendor managed inventory control system of multi-product multi-constraint economic order quantity model
Optimal truss sizing by modified Rao algorithm combined with feasible boundary search method
PDHG: An Ethereum phishing detection approach via heterogeneous graph transformer
Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective
Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters
Treasure in the background: Improve saliency object detection by self-supervised contrast learning
A study of TODIM in a intuitionistic fuzzy and random environment
Robust feature enhanced deep kernel support vector machine via low rank representation and clustering
GTPAN: Global Target Preference Attention Network for session-based recommendation
Interactive defect segmentation in X-Ray images based on deep learning
Selecting reliable instances based on evidence theory for transfer learning
Ensemble methods for advanced skier days prediction
Implementation of a genetic algorithm on MD-optimal designs for multivariate response surface models
Business information extraction from semi-structured webpages
Automatic identification of integrity attacks in cyber-physical systems
Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization
Raw infrared image enhancement via an inverted framework based on infrared basic prior
Do road users play Nash Equilibrium? A comparison between Nash and Logistic stochastic Equilibriums for multiagent modeling of road user interactions in shared spaces
New approach for estimation of criteria weights based on a linguistic evaluation
Double Q -PID algorithm for mobile robot control
A new social and momentum component adaptive PSO algorithm for image segmentation
A hybrid recommender system using artificial neural networks
QoS multicast routing protocol oriented to cognitive network using competitive coevolutionary algorithm
An efficient method for autoencoder based outlier detection
IntegrateCF: Integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm
Integrated production scheduling and vehicle routing problem with energy efficient strategies: Mathematical formulation and metaheuristic algorithms
A comparison of regression methods for remote tracking of Parkinson's disease progression
CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations
Generating a decision support system for states in the USA via machine learning
Generalized regression neural networks-based data-driven iterative learning control for nonlinear non-affine discrete-time systems
Can multimodal large language models understand visual metaphors? An evaluation of MLLM's multi-perspective understanding capabilities for visual metaphors
Heuristic based decision approach for an integrated slurry pipeline network scheduling in the phosphate industry
A polynomial modeling based algorithm in top-N recommendation
A probabilistic model for linguistic multi-expert decision making involving semantic overlapping
Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading
Optimisation of partner selection and collaborative transportation scheduling in Virtual Enterprises using GA
Ranking fuzzy numbers based on relative positions and shape characteristics
Island bat algorithm for optimization
Term extraction from sparse, ungrammatical domain-specific documents
A new robust fuzzy clustering framework considering different data weights in different clusters
Elitist Non-dominated Sorting directional Bat algorithm (ENSdBA)
Analyzing strategies of mobile agents on malicious cloud platform with Agent-Based Computational Economic Approach
Transshipment hub selection from a shipper's and freight forwarder's perspective
Detection of opinion spam based on anomalous rating deviation
3D colored object reconstruction from a single view image through diffusion
Artificial immune network-based anti-collision algorithm for dense RFID readers
Spectral clustering and query expansion using embeddings on the graph-based extension of the set-based information retrieval model
A Takagi-Sugeno type neuro-fuzzy network for determining child anemia
enemos-p: An enhanced emotion specific prediction for recommender systems
Scheduling a dual-arm robotic two-cluster tool in the event of a process module failure
MBiLSTMGloVe: Embedding GloVe knowledge into the corpus using multi-layer BiLSTM deep learning model for social media sentiment analysis
Deep understanding in industrial processes by complementing human expertise with interpretable patterns of machine learning
Forecasting the subway passenger flow under event occurrences with multivariate disturbances
Automatic Cardiac Pathology Recognition in Echocardiography Images using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets
Multifactorial evolutionary algorithm enhanced by symmetry transformation and ridge regression
Research on the measure method of complaint theme influence on online social network
Chaotic encryption method based on life-like cellular automata