yusuke1997/dblp-id-title huggingface dataset:
Furnace temperature control based on interval type-2 fuzzy broad learning system for municipal solid waste incineration process
DiT-SFDA: A source-free domain adaptation method for intelligent diagnosis of cardiovascular diseases with limited heart sound samples
Multiple data-dependent kernel for classification of hyperspectral images
A robust context attention network for human hand detection
An effective expectation-maximization algorithm for two-layer mixture model of Gaussian process functional regressions via variational inference
Reference-free low-light image enhancement by associating hierarchical wavelet representations
Using extension method for health analysis system of a fitness device
A mutually supervised heterogeneous selective ensemble learning framework based on matrix decomposition for class imbalance problem
Topic modeling and alignment with large language models for multi-labeled text corpora
Learning textual features for Twitter spam detection: A systematic literature review
AIS-based maritime anomaly traffic detection: A review
System with probabilistic fuzzy knowledge base and parametric inference operators in risk assessment of innovative projects
Group decision making problems in a linguistic and dynamic context
A pareto-based ensemble of feature selection algorithms
Local and global structure double fusion embedding deep non-negative matrix factorization for multi-view clustering
Generalizing fuzzy k-nearest neighbor classifier using an OWA operator with a RIM quantifier
A topic model-based knowledge graph to detect product defects from social media data
Do not ignore heterogeneity and heterophily: Multi-network collaborative telecom fraud detection
An Efficient Corpus Indexer for dynamic corpora retrieval
Hiding sensitive association rules using the optimal electromagnetic optimization method and a dynamic bit vector data structure
Novel hybrid pair recommendations based on a large-scale comparative study of concept drift detection
Classification of infection grade for anthracnose in mango leaves under complex background based on CBAM-DBIRNet
Graph-based Consistent Reconstruction and Alignment for imbalanced text-image person re-identification
Prognostics of gas turbine engine: An integrated approach
Solving high-dimensional global optimization problems using an improved sine cosine algorithm
A model-data fusion approach utilizing residual subset selection and adaptive thresholding for hybrid electric vehicle fault diagnosis
CRFD: A novel face privacy preservation via fine-grained controllable and reversible de-identification
Embodied cognition of information visualization: Human-computer interaction with six degrees of freedom in movement of an information space
Bundle fragments into a whole: Mining more complete clusters via submodular selection of interesting webpages for web topic detection
Analysis of a variable speed vapor compression system using artificial neural networks
Relevance-based adaptive differential private spiking neural networks
A distributed joint extraction framework for sedimentological entities and relations with federated learning
Neural network-based reversible data hiding for medical image
A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey
A team-formation algorithm for faultline minimization
Damage detection under ambient vibration by harmony search algorithm
Automatic vision-based parking slot detection and occupancy classification
A parameter-tuned genetic algorithm to optimize two-echelon continuous review inventory systems
Application of multicriteria decision-making techniques to manoeuvre planning in nonholonomic robots
Regularized logistic regression without a penalty term: An application to cancer classification with microarray data
Clustering by growing incremental self-organizing neural network
Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review
Covariance matrix adapted grey wolf optimizer tuned eXtreme gradient boost for bi-directional modelling of direct metal deposition process
Conceptual modeling and development of an intelligent agent-assisted decision support system for anti-money laundering
A quality guaranteed robust image watermarking optimization with Artificial Bee Colony
A noise-assistant network for tampering detection via inconspicuous feature enhancement and multi-perspective perception
Incorporating part-whole hierarchies into fully convolutional network for scene parsing
A dynamic model for integrating simple web spam classification techniques
EEG-based listened-language classification
Using fuzzy AHP to develop intellectual capital evaluation model for assessing their performance contribution in a university
Expert denoising for enhanced diffusion-based time series forecasting
Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation
A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data
All flags are not created equal: A deep look into CTF Scoring Algorithms
Greenhouse light and CO 2 regulation considering cost and photosynthesis rate using i-nsGA Ⅱ
Enhancing video segmentation with contrastive self-supervised learning of distinctive class features for visually homogeneous frames
Driver's mobile phone usage detection using guided learning based on attention features and prior knowledge
Novel imbalanced fault diagnosis method based on generative adversarial networks with balancing serial CNN and Transformer (BCTGAN)
Dynamic programming-based exact and heuristic algorithms for single machine scheduling with sequence-dependent setups
Predicting trajectory of crane-lifted load using LSTM network: A comparative study of simulated and real-world scenarios
Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges
Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system
Bone age assessment and sex determination using transfer learning
Deep prescription understanding and low-cost medication dispensing and management for elderly care
MedFedProto: A semi-Supervised classification framework for medical images based on federated prototypical learning
ETTracker: A fund tracking framework for anti-money laundering on Ethereum
Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information
Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP
A method for solving systems of linear interval equations applied to the Leontief input-output model of economics
Benchmarking fairness measures for calibrated recommendation systems on movies domain
Traffic congestion predictor: A spatiotemporal graph neural network with congestion-conditional adaptive mechanism and optimization algorithm
Forecasting daily stock trend using multi-filter feature selection and deep learning
Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer
Natural gas consumption forecasting for anomaly detection
A hybrid approach of HMM and grey model for age-dependent health prediction of engineering assets
A two-stage location-sensitive and user preference-aware recommendation system
Appearance-posture fusion network for distracted driving behavior recognition
A framework for suspect face retrieval using linguistic descriptions
Linear approximation of the quantile-quantile plot for semantic labelling of numeric columns in tabular data
In - Situ early anomaly detection and remaining useful lifetime prediction for high-power white LEDs with distance and entropy-based long short-term memory recurrent neural networks
A robust ant colony optimization-based algorithm for community mining in large scale oriented social graphs
Policy making for broadband adoption and usage in Chile through machine learning
Generalized techniques for solving intuitionistic fuzzy multi-objective non-linear optimization problems
A Software Defined Network information security risk assessment based on Pythagorean fuzzy sets
A new wrapper feature selection method for language-invariant offline signature verification
Evaluation of ANN and SVM classifiers as predictors to the diagnosis of students with learning disabilities
Automatic stock decision support system based on box theory and SVM algorithm
STCADeNet: Spatial-temporal context awareness for video SAR shadow detection
Explaining machine learning models in sales predictions
An intelligent mechanism for dynamic spectrum sharing in 5G IoT networks
Profiling blood donors in Egypt: A neural network analysis
Ontology-based curriculum content sequencing system with semantic rules
Fractal property: A tool for understanding the generation mechanism of echo chambers
Comparison of logistic regression model and classification tree: An application to postpartum depression data
Using ontology to improve precision of terminology extraction from documents
Intelligent system for identification and replacement of faulty sensor measurements in Thermal Power Plants (IPPAMAS: Part 1)
Developing a novel Intuitionistic Fuzzy Importance-performance Analysis for evaluating corporate social responsibility in sport tourism event
Improving classification performance of sonar targets by applying general regression neural network with PCA
Construction scheduling using Genetic Algorithm based on Building Information Model
Uninformed pathfinding: A new approach
The effects of modular process models on gaze patterns - A follow-up investigation about modularization in process model literacy
Large engineering project risk management using a Bayesian belief network
Designing bus line plans for realistic cases - the Utrecht case study
Slope displacement detection in construction: An automated management algorithm for disaster prevention
Unsupervised graph-based feature selection via subspace and pagerank centrality
Constructing high-quality health indicators from multi-source sensor data for predictive maintenance applications
Multistep diesel vehicle emissions forecasting with an efficient transformer enhanced by temporal-frequency fusion and covariate interaction
Case-DeSC: A system for case-based design with soft computing techniques
CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator
An improved approach to find membership functions and multiple minimum supports in fuzzy data mining
Discovering topics and trends in the field of Artificial Intelligence: Using LDA topic modeling
YOLO-DLA: A YOLO-based unified framework for multi-scale document layout analysis
UniTask+: exploring and unifying strong and weak task-aware consistency for semi-supervised blastocyst image segmentation
RD-FGM: A novel model for high-quality and diverse food image generation and ingredient classification
Attention-enhanced 3D residual networks for knee abnormality classification
Evaluating student learning using concept maps and Markov chains
Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
Intelligent decision support systems for improving financial forecasting and market trend analysis
Explainable resource-Aware IoT security model via knowledge distillation and adaptive loss function optimization
Assessment of the influence of navigation control and screen size on the sense of presence in virtual reality using EEG
Self-evolution of hyper fractional order chaos driven by a novel approach through genetic programming
A probabilistic risk analysis for multimodal entry control
Law LLM unlearning via interfere prompt, review output and update parameter: new challenges, method and baseline
Efficient multi-view graph convolutional networks via local aggregation and global propagation
Increasing mapping based hidden Markov model for dynamic process monitoring and diagnosis
A portfolio stock selection model based on expected utility, entropy and variance
Breast mass classification in 3D ABUS based on Laplace-Beltrami spectra and dual path CNN
An approach to reservoir computing design and training
Attentional matrix factorization with context and co-invocation for service recommendation
Cluster-based under-sampling approaches for imbalanced data distributions
On fuzzy multiple objective linear programming problems
Vision Transformer in stenosis detection of coronary arteries
Iterative performance improvement of fuzzy control systems for three tank systems
A best method of demodulation algorithm for UNFSK applied in transportation
The continuous Berth Allocation Problem in a container terminal with multiple quays
Hesitant triangular fuzzy information aggregation based on Einstein operations and their application to multiple attribute decision making
HQNet: A hybrid quantum network for multi-class MRI brain classification via quantum computing
Human Activity Recognition based on Local Linear Embedding and Geodesic Flow Kernel on Grassmann manifolds
Accessible smartphones for blind users: A case study for a wayfinding system
A modeling approach for iron concentration in sand filtration effluent using adaptive neuro-fuzzy model
State estimation of subsea pipeline inspection gauge based on multi-mode signal composite decomposition and reconstruction
Grey relational analysis model with cross-sequences and its application in evaluating air quality index
Assessing LLMs in malicious code deobfuscation of real-world malware campaigns
An intelligent short term stock trading fuzzy system for assisting investors in portfolio management
Rethinking decomposition for time series forecasting: Learning from temporal patterns
Nonlinear parsimonious modeling based on Copula-LoGo
An approach to expert recommendation based on fuzzy linguistic method and fuzzy text classification in knowledge management systems
Optimization of mechanical characteristics of short glass fiber and polytetrafluoroethylene reinforced polycarbonate composites using the neural network approach
A novel approach to incorporate investor's preference in fuzzy multi-objective portfolio selection problem using credibility measure
BioPPIExtractor: A protein-protein interaction extraction system for biomedical literature
A robust approach to text similarity detection with LSTM networks based on embedding and attention synergy
Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain
Maximum relevant diversity aware, multi-video summarization using clustering and evolutionally multi-objective optimization
Short text classification with Soft Knowledgeable Prompt-tuning
Robust three-way decisions based on ensembled multi-divergence measures with circular quintic fuzzy sets for developing swarm robots in mechanised agricultural operations
BioCNN: Bi-Objective Model to Optimize Convolutional Neural Networks Structure
A hybrid recommender system for an online store using a fuzzy expert system
Mapping and mining interictal pathological gamma (30-100 Hz) oscillations with clinical intracranial EEG in patients with epilepsy
Making use of associative classifiers in order to alleviate typical drawbacks in recommender systems
Feature extraction of forearm EMG signals for prosthetics
One-to-many neural network mapping techniques for face image synthesis
A comprehensive review of cyberbullying-related content classification in online social media
A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data
A hybrid algorithm based on self-adaptive gravitational search algorithm and differential evolution
Super-app behavioral patterns in credit risk models: Financial, statistical and regulatory implications
A hybrid meta-heuristic framework with ensemble deep learning for multi-functional simultaneous optimized automatic intensity-modulated radiotherapy planning
DCUFormer: Enhancing pavement crack segmentation in complex environments with dual-cross/upsampling attention
Multi-layer features ablation of BERT model and its application in stock trend prediction
A new subset based deep feature learning method for intelligent fault diagnosis of bearing
Scheduling of log logistics using a metaheuristic approach
Using genetic algorithm based knowledge refinement model for dividend policy forecasting
A new evolutionary approach for neural spike detection based on genetic algorithm
Finding keywords in blogs: Efficient keyword extraction in blog mining via user behaviors
Improved bias value and new membership function to enhance the performance of fuzzy support vector Machine
A prediction algorithm for time series based on adaptive model selection
Dynamic hysteresis modelling for nano-crystalline cores
Learning under concept drift with follow the regularized leader and adaptive decaying proximal
Enhancing food safety review classification with large language models and label embedding
Survival model in oral squamous cell carcinoma based on clinicopathological parameters, molecular markers and support vector machines
A fuzzy interactive decision making algorithm for bilevel multi-followers programming with partial shared variables among followers
ImageLM: Interpretable image-based learner modelling for classifying learners' computational thinking
Empirical analysis of online auction fraud: Credit card phantom transactions
BPFAaC: A radar intelligent perception algorithm in 6G integrated sensing and communications scenarios
Advanced data association technique using integrated track splitting filter for multi-target tracking in clutter and occlusion
Virtual Net Propagator: A cloud-based computational tool for systemic decision propagation analysis
Enhanced prediction of misalignment conditions from spectral data using feature selection and filtering
Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning
SAC-ConvLSTM: A novel spatio-temporal deep learning-based approach for a short term power load forecasting
Text mining approach for the prediction of disease status from discharge summaries using CCBE and NEROA-CNN
RFDB: Robust watermarking scheme with Fuzzy-DnCNN using blockchain technique for identity verification
Structural virality estimation and maximization in diffusion networks
A hybrid financial analysis model for business failure prediction
Exploiting point-language models with dual-prompts for 3D anomaly detection
Causal temporal constraint networks for representing temporal knowledge
Hierarchical time series forecasting via Support Vector Regression in the European Travel Retail Industry
Determining of stock investments with grey relational analysis
Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method
Online transfer learning with partial feedback
Multidimensional credibility-enhanced group decision-making: A hypernetwork and cloud model approach
Corrigendum "A strategic analysis for successful Brain Korea 21 initiative based on structural equation model" [Experts Systems with Applications 36 (3P1) (2009) 5087-5093]
A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets
Ada-STGMAT: An adaptive spatio-temporal graph multi-attention network for intelligent time series forecasting in smart cities
CAPMamba: A hybrid vision model for enhancing generalization in deepfake detection
Adaptive CMAC neural control of chaotic systems with a PI-type learning algorithm
Enhancing performance transformer models algorithm for prediction from storytelling
Boosting transferability of targeted adversarial examples with non-robust feature alignment
An improved global feature selection scheme for text classification
Augmented reality-based guidance in product assembly and maintenance/repair perspective: A state of the art review on challenges and opportunities
Grey wolf optimizer with cellular topological structure
Impacts of crisis on SME bankruptcy prediction models' performance
Exterior lighting computer-automated design based on multi-criteria parallel evolutionary algorithm: optimized designs for illumination quality and energy efficiency
Why was this asked? Automatically recognizing multiple motivations behind community question-answering questions
Generating domain-specific web-based expert systems
A case study on using evolutionary algorithms to optimize bakery production planning
A meta-contrastive learning with data augmentation framework for zero-shot stance detection
Application of artificial neural networks in the diagnosis of urological dysfunctions
Rough set based hybrid algorithm for text classification
Data mining in lung cancer pathologic staging diagnosis: Correlation between clinical and pathology information
Breaking TSP local search barriers: scalable multi-GPU parallelisation of 4-opt, 5-opt, 6-opt and hybrid variable λ-opt
A vibration cavitation sensitivity parameter based on spectral and statistical methods
Multi-modal isolated sign language recognition based on self-paced learning
Design of a hybrid system for the diabetes and heart diseases
Trading strategy design in financial investment through a turning points prediction scheme
Predictability of stock returns using neural networks: Elusive in the long term
A fuzzy multi-criteria group decision making framework for evaluating health-care waste disposal alternatives
Adaptive adversarial augmentation for molecular property prediction
Design of aperiodic planar arrays for isoflux radiation in GEO satellites by applying evolutionary optimization
DeepData: Machine learning in the marine ecosystems
Structural effects of R&D collaboration network on knowledge diffusion performance
Multiagent reinforcement learning in enhancing resilience of microgrids under extreme weather events
PFL-TEnet: Personalized federated learning for wind power forecasting via time-series embedding and hypernetwork modeling
RFID technology investment evaluation model for the stochastic joint replenishment and delivery problem
Inclined planes system optimization: Theory, literature review, and state-of-the-art versions for IIR system identification
Feedforward neural network position control of a piezoelectric actuator based on a BAT search algorithm
CWT-ViT: A time-frequency representation and vision transformer-based framework for automated robotic surgical skill assessment
Constructing a fuzzy-knowledge-based-system: an application for assessing the financial condition of public schools
A novel concept-level approach for ultra-concise opinion summarization
A multi-perspective approach for the analysis of complex business processes behavior
A two-phase algorithm for product part change utilizing AHP and PSO
Channel strategy and the management of fake reviews in a catering platform service supply chain
Vector quantization-driven image compression through multi-objective evolutionary algorithms
Multi-scale pedestrian intent prediction using 3D joint information as spatio-temporal representation
DenseNet-based transfer learning for LV shape Classification: Introducing a novel information fusion and data augmentation using statistical Shape/Color modeling
Combining competitive scheme with slack neurons to solve real-time job scheduling problem
Preprocessing of normative documents for interactive question answering
Assessing semantic annotation activities with formal concept analysis
A multilevel block building algorithm for fast modeling generalized separable systems
Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features
A multistart adaptive memory-based tabu search algorithm for the heterogeneous fixed fleet open vehicle routing problem
Topic model for personalized end-to-end task-oriented dialogue
Similarity measure models and algorithms for hierarchical cases
Multiprocessor system scheduling with precedence and resource constraints using an enhanced ant colony system
Prior-knowledge-based self-attention network for 3D human pose estimation
Randomized PCA forest for approximate k-nearest neighbor search