yusuke1997/dblp-id-title huggingface dataset:
Empowering Image Restoration: A Multi-Attention Approach
Lab-DN: Dual-branch lightweight network for Lab color space shadow removal
COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic
A pure array structure and parallel strategy for high-utility sequential pattern mining
An unsupervised machine-learning-based shock sensor: Application to high-order supersonic flow solvers
Accurate multi-interest modeling for sequential recommendation with attention and distillation capsule network
Optimisation of building contour extraction in high-resolution remote sensing images: An adaptive cluster segmentation algorithm for improving deep learning models
A highly adaptive recommender system based on fuzzy logic for B2C e-commerce portals
A lime shaft kiln diagnostic expert system based on holographic monitoring and real-time simulation
MMFN: Emotion recognition by fusing touch gesture and facial expression information
Multi-modality image fusion for medical assistive technology management based on hybrid domain filtering
Designing intelligent public parking locations for autonomous vehicles
An unsupervised feature selection approach for actionable warning identification
A novel diffusion model with Shapley value analysis for anomaly detection and identification of wind turbine
Assessing students' handwritten text productions: A two-decades literature review
Knowledge-aware cell formation in matrix-structured manufacturing systems via large and small model synergistic methods
A survey on Sign Language machine translation
Fuzzy time-series based on adaptive expectation model for TAIEX forecasting
A driver stress detection model via data augmentation based on deep convolutional recurrent neural network
Diversified generation of commonsense reasoning questions
Protected template classification for iris biometrics
Experimental comparison of results provided by ranking methods in Data Envelopment Analysis
The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection
Particle swarm optimization with selective particle regeneration for data clustering
Optimized graph-cut approach for the screen-line traffic counting location problem: An exact and efficient solution method
Lessons learned from developing a mission-critical expert system with multiple experts through rapid prototyping
Deep learning methods evaluation to predict air quality based on Computational Fluid Dynamics
Improving the state-of-the-art in the Traveling Salesman Problem: An Anytime Automatic Algorithm Selection
Text document clustering using Spectral Clustering algorithm with Particle Swarm Optimization
Parametric active contour model by using the honey bee mating optimization
Novel fuzzy hybrid multi-criteria group decision making approaches for the strategic supplier selection problem
Expert system based parallel multi-1D block matching algorithm with implementation for motion estimation
Apparel sizing using trimmed PAM and OWA operators
Triangulation topology aggregation optimizer: A novel mathematics-based meta -heuristic algorithm for continuous optimization and engineering applications
Intelligent stock trading system based on improved technical analysis and Echo State Network
Measuring and categorizing technical efficiency and productivity change of commercial banks in Taiwan
Enhancing set constraint solvers with bound consistency
AXFL: Axial prior-guided cross-view fusion learning for radar semantic segmentation
Traffic forecasting with meta attentive graph convolutional recurrent network
Forecast combination in industrial series: A comparison between individual forecasts and its combinations with and without correlated errors
Design of fuzzy logic control system incorporating human expert knowledge for combine harvester
Development of an expert system for tackling the public's perception to climate-change impacts on petroleum industry
Few-shot sample multi-class incremental fault diagnosis for gearbox based on convolutional-attention fusion network
MGHSTCKW: Predicting miRNA-drug sensitivity association using hypergraph sparse transformer and hypergraph-induced contrastive learning based on meta-path
Ranking solutions of multi-objective reservoir operation optimization models using multi-criteria decision analysis
Cardiac index adaptive physiological control system for continuous-flow left ventricular assist device
Sensitive misalignment-based dynamic loaded meshing impact diagnosis mechanism for aviation spiral bevel gear transmission
A hybrid of nonlinear autoregressive model with exogenous input and autoregressive moving average model for long-term machine state forecasting
Type-1 recurrent intuitionistic fuzzy functions for forecasting
Robust graph regularized unsupervised feature selection
Multi-relationship evaluation design: Formalization of an automatic test plan generator
Neural network as a decision support system in the development of pharmaceutical formulation - focus on solid dispersions
Model for assigning roles automatically in egovernment virtual organizations
Joint computation offloading and service caching in Vehicular Edge Computing via a dynamic coevolutionary multiobjective optimization algorithm
Optimization of a non-instantaneous deteriorating inventory problem with time and price dependent demand over finite time horizon via hybrid DESGO algorithm
Forest based on Interval Transformation (FIT): A time series classifier with adaptive features
The behavioural best-worst method
Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors
Mining regular behaviors based on multidimensional trajectories
PaTRIZ: A framework for mining TRIZ contradictions in patents
The PSQSgram: A new adaptive multi-channel periodic pulse extraction method for bearing fault diagnosis
Pulse coupled neural networks and its applications
Applying a complexity-based Choquet integral to evaluate students' performance
RASpan: improving toponym recognition through span representation model with retrieval augmentation
A fuzzy ranking approach for improving search results in Turkish as an agglutinative language
Design of a multi-disciplinary and feature-based collaborative environment for chemical process projects
COVID-19 malicious domain names classification
An alignment-error-free framework for end-to-end table recognition
Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level image features from convolutional layers
Novel adaptive DCOPA using dynamic weighting for vector of performances indicators optimization of IoT networks
Relational calculi in a deductive system
Communication-efficient federated recommendation model based on many-objective evolutionary algorithm
Multivariate time-series classification model based on enhanced multi-objective optimization algorithm
Incorporating statistical and neural network approaches for student course satisfaction analysis and prediction
An approach for adaptive associative classification
Using recurrent neural networks for estimation of minor actinides' transmutation in a high power density fusion reactor
An integrated fuzzy-lp approach for a supplier selection problem in supply chain management
Resilience to deception attacks in consensus tracking control of incommensurate fractional-order power systems via adaptive RBF neural network
An intrusion response approach based on multi-objective optimization and deep Q network for industrial control systems
Content presentation personalisation and media adaptation in tourism web sites using Fuzzy Delphi Method and Fuzzy Cognitive Maps
Automatic visual detection of human behavior: A review from 2000 to 2014
Development of expert system for extraction of the objects of interest
A constructive heuristic for pattern assignment in an ensemble of attractor neural networks to increase storage capacity
Construction of partner selection criteria in sustainable supply chains: A systematic optimization model
The impact of 3D e-readiness on e-banking development in Iran: A fuzzy AHP analysis
Industrial implementation of intelligent system techniques for nuclear power plant condition monitoring
Video-based real-time monitoring of engagement in E-learning using MediaPipe through multi-feature analysis
Analyzing natural human language from the point of view of dynamic of a complex network
Expert system for automated bone age determination
Probabilistic and discriminative group-wise feature selection methods for credit risk analysis
Energy-predictive planning for optimizing drone service delivery
Adaptive influence maximization with general partial feedback
FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation
Re3MHQA: Retrieve, Remove, and Return facts in multi-hop QA
Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company
A multi-strategy knowledge interoperability framework for heterogeneous learning objects
DPANet: curve-like structure segmentation based on dual-path attention network
Combined influence of forearm orientation and muscular contraction on EMG pattern recognition
Fingerprinting-assisted UWB-based localization technique for complex indoor environments
Automatic Logical Forms improve fidelity in Table-to-Text generation
Multimodel decision support system for psychiatry problem
Unified novel multivariate discrete grey model with cumulative time effect
Density weighted support vector data description
A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images
Integration of independent component analysis and neural networks for ECG beat classification
Managing a sustainable dual-channel supply chain for fresh agricultural products using blockchain technology
Classification of chaos-based digital modulation techniques using wavelet neural networks and performance comparison of wavelet families
Sparsity enhanced tensor denoising based on weighted noise-free and noise estimation via discrete cosine transform
Discrete gradient-zeroing neural dynamics for future Moore-Penrose inverse with application to tracking control of manipulator
Multi-label classification using hierarchical embedding
K-fold matching model for crowd behavioral anomaly detection from discontinuous inputs
A new prediction method for recommendation system based on sampling reconstruction of signal on graph
Gradient-based differential neural network to time-varying constrained quadratic programming
Development of a real-life EKF based SLAM system for mobile robots employing vision sensing
Detect Arabic fake news through deep learning models and Transformers
Evolutionary multitasking optimization based on cross-task association mapping strategy
Multi-modal fusion using Fine-tuned Self-attention and transfer learning for veracity analysis of web information
Radial snakes: Comparison of segmentation methods in synthetic noisy images
RAKCR: Reviews sentiment-aware based knowledge graph convolutional networks for Personalized Recommendation
Informative top-k class associative rule for cancer biomarker discovery on microarray data
Comprehensive fuzzy logic coefficient of performance of absorption cooling system
Fine-grained multimodal fusion for depression assisted recognition based on hierarchical knowledge-enhanced prompt learning
A new scheme of polar Fast Fourier Transform Code for iris recognition through symbolic modelling approach
Measuring fairness in credit ratings
Modeling and verifying probabilistic Multi-Agent Systems using knowledge and social commitments
Unsupervised physics-informed deep learning for assessing pulmonary artery hemodynamics
An ambient software monitoring system for unsupervised user modelling
Generating vascular network structures from real data
A multi-agent reinforcement learning driven artificial bee colony algorithm with the central controller
An evidence-based multimodal fusion approach for predicting review helpfulness with human-AI complementarity
Non-Euclidean Spectral-Spatial feature mining network with Gated GCN-CNN for hyperspectral image classification
Deterministic Multi-kernel based extreme learning machine for pattern classification
On the application of genetic programming for software engineering predictive modeling: A systematic review
Pruning strategies for mining high utility itemsets
High speed detection of potato and clod using an acoustic based intelligent system
A fuzzy approach for the selection of non-traditional sheet metal cutting processes
Harnessing optical flow in deep learning framework for cardiopulmonary resuscitation training
A hybrid emergency decision-making technique based on trapezoidal fuzzy best-worst method and zero-sum game
Constructing the Bayesian network structure from dependencies implied in multiple relational schemas
Multi-modal and Multi-part with Skeletons and Texts for Action Recognition
An integrated framework for enhancing the semantic transformation, editing and querying of relational databases
A domain-knowledge based reconstruction framework for out-of-domain news title classification
Parametric models and non-parametric machine learning models for predicting option prices: Empirical comparison study over KOSPI 200 Index options
The trade-off between topology and content in community detection: An adaptive encoder-decoder-based NMF approach
I/O efficient core maintenance in large graphs
ATOM: A general calibration framework for multi-modal, multi-sensor systems
Modeling and implementing an agent-based environmental health impact decision support system
A graph distance based metric for data oriented workflow retrieval with variable time constraints
Differentiable N-gram objective on abstractive summarization
FPGA-based adaptive PID control of a DC motor driver via sliding-mode approach
Hybrid non-parametric particle swarm optimization and its stability analysis
Vehicle routing problem for cold-chain drug distribution with epidemic spread situation
Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach
From offline optimality to online heuristics for lot scheduling with delivery times: Manual design and LLM-driven evolutionary design
Recommendation system for localized products in vending machines
Generalized association rule mining using an efficient data structure
Time-varying multi-period emergency decision-making based on dissimilarity measure and definite integral in the picture fuzzy context
A transparent and nonlinear method for variable selection
An agent-based English auction protocol using Elliptic Curve Cryptosystem for mobile commerce
Random Forests for multiclass classification: Random MultiNomial Logit
Learning medical concept representation based on semantic information in medical textural data
Driving and control of torque for direct-wheel-driven electric vehicle with motors in serial
MSAF: Multi-scale adaptive filter for object tracking
SABUMO: Towards a collaborative and semantic framework for knowledge sharing
A matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem
The development of an interval grey regression model for limited time series forecasting
A novel multi-fractional multivariate grey model for city air quality index prediction in China
An automatic system for identifying authorities in digital libraries
Power quality disturbance identification using wavelet packet energy entropy and weighted support vector machines
Musical pitch estimation using a supervised single hidden layer feed-forward neural network
A Biological Immune System (BIS) inspired Mobile Agent Platform (MAP) security architecture
ViTaL: A multimodality dataset and benchmark for multi-pathological ovarian tumor recognition
A differential-based harmony search algorithm for the optimization of continuous problems
Methods and applications of artificial and computational intelligence
Prediction of survival probabilities with Bayesian Decision Trees
CSD: A multi-user similarity metric for community recommendation in online social networks
Knowledge guided fuzzy deep reinforcement learning
Robust automated Parkinson disease detection based on voice signals with transfer learning
Visual and tangible interactions with physical and virtual objects using context-aware RFID
An attributed multiplex network enabled GNN-based stock predictor with observable and non-observable information
Improving network traffic analysis by foreseeing data-packet-flow with hybrid fuzzy-based model prediction
Genetic nearest feature plane
Fetal ultrasound four-chamber view editing synthesis via denoising diffusion model
WaveletFusion: enhancing plant leaf disease classification with multi-scale feature extraction and explainable AI
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization
Wildfire detection using transfer learning on augmented datasets
Study on solution models and methods for the fuzzy assignment problems
Rethinking gradient operator for exposing AI-enabled face forgeries
A semi-supervised deep learning approach for cropped image detection
New activation functions for single layer feedforward neural network
Measuring sustainable technology R&D innovation in China: A unified approach using DEA-SBM and projection analysis
IFS and SODA based computational method for fuzzy time series forecasting
Addressing imbalanced data with argument based rule learning
Knowledge discovering for coastal waters classification
Exploring the efficacy of neurofeedback training in modulating alpha-frequency band and its effects on functional connectivity and band power
Multitask learning for cognitive sciences triplet analysis
New genetic algorithms for contingencies selection in the static security analysis of electric power systems
Community detection based on unsupervised attributed network embedding
Kernel methods for short-term portfolio management
Fuzzy logic type-2 intelligent moisture control system
Predicting student performance using sequence classification with time-based windows
A differential evolution algorithm for estimating mobile channel parameters α-η-μ
An efficient CNN-LSTM model for sentiment detection in #BlackLivesMatter
Dynamic spatial-temporal graph convolutional recurrent networks for traffic flow forecasting
Cosmetics purchasing behavior - An analysis using association reasoning neural networks
Graph based feature selection investigating boundary region of rough set for language identification
Extending co-citation analysis to discover authors with multiple expertise
Asynchronous federated learning with directed acyclic graph-based blockchain in edge computing: Overview, design, and challenges
Evaluating students' learning achievement by automatically generating the importance degrees of attributes of questions
Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test
A new hybrid MCDM framework for third-party logistics provider selection under sustainability perspectives
A pattern-based and multi-objective architecture for selecting optimal compositions of web services
Anomaly detection in streaming data: A comparison and evaluation study
Brain inspired lifelong learning model based on neural based learning classifier system for underwater data classification
Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
Sea vessel type selection via an integrated VAHP-ANP methodology for high-speed public transportation in Bosphorus
Optimal pricing for transfer of development rights under risk sharing: The context of China's inter-provincial construction land quota trading
Comparison of different matching methods in observational studies and sensitivity analysis: The relation between depression and STAI-2 scores
Customized frequent patterns mining algorithms for enhanced Top-Rank-K frequent pattern mining
Human error identification and risk prioritization in overhead crane operations using HTA, SHERPA and fuzzy VIKOR method
A hybrid optimization-based key generation for secure AAC in cloud-enabled big data environment
Measuring the emotional state among interacting agents: A game theory approach using reinforcement learning
SWDAKT: Knowledge tracing using sliding window-based dynamic ability perception
Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey
An instance-based transfer learning model with attention mechanism for freight train travel time prediction in the China-Europe railway express
An RL-NSGA-DP algorithm for optimization of robot placement and trajectory allocation in mobile robotic grinding of wind turbine blades
DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation
Improving the generalization performance of RBF neural networks using a linear regression technique
Investigation on thermal performance calculation of two type solar air collectors using artificial neural network
MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images
MixFuse: An iterative mix-attention transformer for multi-modal image fusion
Strategic group identification using evolutionary computation
Railway obstacle intrusion detection and risk assessment based on MSIA-YOLOv8 and DALNet
Evaluating large, high-technology project portfolios using a novel interval-valued Pythagorean fuzzy set framework: An automated crane project case study
Handling forecasting problems based on high-order fuzzy logical relationships
Discriminative sparse subspace learning with manifold regularization
Distinguishing between fake news and satire with transformers
Improvement of accuracy of under-performing classifier in decision making using discrete memoryless channel model and Particle Swarm Optimization
EEG index for control operators' mental fatigue monitoring using interactions between brain regions
On the enhancement of semi-supervised deep learning-based railway defect detection using pseudo-labels
GRDGNN: A directed graph neural network framework for multi-relational inference of gene regulatory networks
Hand geometry identification without feature extraction by general regression neural network
Toward a unified knowledge management model for SMEs
DeepHGNN: Study of graph neural network based forecasting methods for hierarchically related multivariate time series
Group risk assessment in failure mode and effects analysis using a hybrid probabilistic hesitant fuzzy linguistic MCDM method
Measuring the understanding between two agents through concept similarity
A computational approach for detecting pigmented skin lesions in macroscopic images
A deep learning approach for real-time detection of atrial fibrillation
Text stream clustering algorithm based on adaptive feature selection
An unsupervised learning framework for marketneutral portfolio
Dynamic event subscriptions in distributed event based architectures
Enhanced K-means re-clustering over dynamic networks
Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees
A CRITIC-TOPSIS and optimized nonlinear grey prediction model: A comparative convergence analysis of marine economic resilience
A separation and compaction algorithm for the two-open dimension nesting problem using penetration-fit raster and obstruction map
Text-vision fusion and semantic adaptive labeling for compositional zero-shot learning
Consensus group decision making based on coalitional Nash-bargaining game
Analysis of financial pressure impacts on the health care industry with an explainable machine learning method: China versus the USA
EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme
TOPSISort-L: An extended likelihood-based interval-valued intuitionistic fuzzy TOPSIS-sort method and its application to multi-criteria group decision-making
Collaborative train timetabling and passenger flow control in oversaturated metro lines considering state-dependence