yusuke1997/dblp-id-title huggingface dataset:
Self-supervised air quality estimation with graph neural network assistance and attention enhancement
A feedback neural network for solving convex quadratic bi-level programming problems
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions
Multi-document influence on readers: augmenting social emotion prediction by learning document interactions
A machine learning-enabled intelligent application for public health and safety
Dummy trajectory generation scheme based on generative adversarial networks
Histogram feature-based Fisher linear discriminant for face detection
Leveraging time-based acoustic patterns for ecosystem analysis
Deep learning for spoken language identification: Can we visualize speech signal patterns?
Improved seagull optimization algorithm using Lévy flight and mutation operator for feature selection
Speeding up pattern matching in streaming time-series via block vector and multilevel lower bound
Single-machine scheduling with truncated sum-of-processing-times-based learning effect including proportional delivery times
Distributed computing based on AI algorithms in battery early warning and SoH prediction of the intelligent connected vehicles
Traffic flow management by detecting and estimating vehicles density based on object detection model
Curiosity-driven dual-policy action selection in temporal difference learning for model predictive control
Retraction Note: A copyright protection using watermarking scheme based on nonlinear permutation and its quality metrics
Stubborn state estimation for complex-valued neural networks with mixed time delays: the discrete time case
Adaptive feature selection via a new version of support vector machine
Comparison of new activation functions in neural network for forecasting financial time series
RamanNet: a generalized neural network architecture for Raman spectrum analysis
An effective hybrid cuckoo search algorithm for constrained global optimization
Empowering CO 2 emission prediction: an innovative approach based on jackaloptimization techniques
Singing voice separation using a deep convolutional neural network trained by ideal binary mask and cross entropy
An early warning system approach for the identification of currency crises with data mining techniques
From depth-aware haze generation to real-world haze removal
Reducing environment exposure to COVID-19 by IoT sensing and computing with deep learning
Adaptive cascade of boosted ensembles for face detection in concept drift
Deep neural networks for quantum circuit mapping
Integrating expert guidance with gradual moment approximation (GMAp)-enhanced transfer learning for improved pancreatic cancer classification
ENSO effect investigation on total monthly precipitation in northern coasts of the Oman Gulf based on fuzzy analysis
Robust automated cardiac arrhythmia detection in ECG beat signals
Human knee joint walking pattern generation using computational intelligence techniques
RETRACTED ARTICLE: Classification of severe autism in fMRI using functional connectivity and conditional random forests
Paper currency defect detection algorithm using quaternion uniform strength
A decomposition-ensemble broad learning system for AQI forecasting
Freeze-drying behaviour prediction of button mushrooms using artificial neural network and comparison with semi-empirical models
Special Issue on Artificial Immune Systems: Theory and Applications
Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm
Fuzzy polynomial neurons as neurofuzzy processing units
Interpretability of deep learning models in analysis of Spanish financial text
Chaos synchronization using adaptive quantum neural networks and its application in secure communication and cryptography
A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
Segmentation of microscopic images of dermatophytes in clinical samples using ResNet and attention-based modifications of U-Net
Improved ZND model for solving dynamic linear complex matrix equation and its application
Supervised regularized attention-aware clock-triggered recurrent neural network for video summarization
LEO: Lagrange elementary optimization
Neural computing for walking gait pattern identification based on multi-sensor data fusion of lower limb muscles
Union soft substructures of near-rings and N -groups
The effect of concentration on gas sensor model based on graphene nanoribbon
Multi-objective optimal allocation of multiple capacitors and distributed generators considering different load models using Lichtenberg and thermal exchange optimization techniques
Anomaly detection based on superpixels in videos
Multi-task learning using a hybrid representation for text classification
Information flow-based second-order cone programming model for big data using rough concept lattice
Selection of optimal wavelet features for epileptic EEG signal classification with LSTM
Human action recognition using short-time motion energy template images and PCANet features
Multiple-Valued Feedback and Recurrent Correlation Neural Networks
Interval-valued prediction of time series based on fuzzy cognitive maps and granular computing
Automated cell division classification in early mouse and human embryos using convolutional neural networks
Multimodal meta-learning through meta-learned task representations
Unlocking Arabic event relation extraction: a comprehensive survey
DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data
An efficient Kernel-based matrixized least squares support vector machine
Object search by a concept-conditioned object detector
Studying possibility in a clustering algorithm for RBFNN design for function approximation
Novel chroma subsampling patterns for wireless capsule endoscopy compression
Comparison of optical performance monitoring techniques using artificial neural networks
An assessment of total RMR classification system using unified simulation model based on artificial neural networks
Improved dominance rough set-based classification system
Transport infrastructure connectivity and conflict resolution: a machine learning analysis
Enhancing PID control robustness in CSTRs: a hybrid approach to tuning under external disturbances with GA, PSO, and machine learning
Three-dimensional dynamic monitoring of environmental cost based on state-space model
Neuro-fuzzy clustering techniques for complex acoustic scenarios
On improving knowledge graph facilitated simple question answering system
Designing an efficient bi-criteria iterated greedy heuristic for simultaneous order scheduling and resource allocation: a balance between cost and lateness measures
A gene expression programming-based method for real-time wear estimation of disc cutter on TBM cutterhead
Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks
CRHS: clustering and routing in wireless sensor networks using harmony search algorithm
CTSC-Net: an effectual CT slice classification network to categorize organ and non-organ slices from a 3-D CT image
Privacy preserving association rule mining over distributed databases using genetic algorithm
Computerized otoscopy image-based artificial intelligence model utilizing deep features provided by vision transformer, grid search optimization, and support vector machine for otitis media diagnosis
Multi-orthogonal-oppositional enhanced African vultures optimization for combined heat and power economic dispatch under uncertainty
Customer profiling, segmentation, and sales prediction using AI in direct marketing
Weekly milk prediction on dairy goats using neural networks
Efficiency of optimization algorithms on the adjustment of process parameters for geometric accuracy enhancement of denture plate in single point incremental sheet forming
Reinforcement learning from constraints and focal entity shifting in conversational KGQA
An Adaptive Momentum Back Propagation (AMBP)
A comprehensive study of cuckoo-inspired algorithms
A statistical approach to secure health care services from DDoS attacks during COVID-19 pandemic
Multiprocessor Task Assignment with Fuzzy Hopfield Neural Network Clustering Technique
Novel mislabeled training data detection algorithm
Comparative performance analysis of single-stage and two-stage object detectors and design of novel quantum-enhanced deep learning model for visually impaired
An Investigation of the Generalisation Performance of Neural Networks.Applied to Lofargram Classification
Generative adversarial network with hybrid attention and compromised normalization for multi-scene image conversion
Surface roughness prediction using Taguchi-fuzzy logic-neural network analysis for CNT nanofluids based grinding process
Multi-source data fusion for economic data analysis
Explainable reinforcement learning for broad-XAI: a conceptual framework and survey
DLEE: a dataset for Chinese document-level legal event extraction
Finite-time and fixed-time function projective synchronization of competitive neural networks with noise perturbation
Active and passive controls of the Williamson stagnation nanofluid flow over a stretching/shrinking surface
An application of machine learning regression to feature selection: a study of logistics performance and economic attribute
LU triangularization extreme learning machine in EEG cognitive task classification
A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector
A chaotic optimization method based on logistic-sine map for numerical function optimization
A Multi-Net System for the Fault Diagnosis of a Diesel Engine
Prediction of pK(a) values of neutral and alkaline drugs with particle swarm optimization algorithm and artificial neural network
Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer
Uncertainty-guided joint unbalanced optimal transport for unsupervised domain adaptation
A fractional-order momentum optimization approach of deep neural networks
A novel learning algorithm of single-hidden-layer feedforward neural networks
Improving precipitation estimates for Turkey with multimodel ensemble: a comparison of nonlinear artificial neural network method with linear methods
Evaluating the bond strength of FRP-to-concrete composite joints using metaheuristic-optimized least-squares support vector regression
Elitist teaching-learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis
Global dissipativity of memristor-based complex-valued neural networks with time-varying delays
Neural-network-based unified particle swarm optimization for the prediction of asphaltene precipitation due to natural depletion
Intelligent bounded robust adaptive neural network controller design for fully actuated autonomous underwater vehicles with guaranteed performance using a novel reinforcement learning method
A correlation information-based spatiotemporal network for traffic flow forecasting
Intelligent recognition of audio scene based on hybrid attention and parallel deep feature processing under genetic evolutionary computing
Visual and language semantic hybrid enhancement and complementary for video description
Knowledge extraction from trained neural network scour model at culvert outlets
Optimal sizing of a proposed stand-alone hybrid energy system in a remote region of southwest Egypt applying different meta-heuristic algorithms
Evaluation function, game-theoretic machine learning algorithm, and the optimal solution for regional ports resources sharing
Multipoint infrared laser-based detection and tracking for people counting
Efficient multi-sequence memory with controllable steady-state period and high sequence storage capacity
Generalization techniques of neural networks for fluid flow estimation
An Intelligent Transportation System to control air pollution and road traffic in cities integrating CEP and Colored Petri Nets
Clustering uncertain graphs using ant colony optimization (ACO)
Multi-scale network with shared cross-attention for audio-visual correlation learning
An energy efficient intelligent torque vectoring approach based on fuzzy logic controller and neural network tire forces estimator
Plantformer: plant point cloud completion based on local-global feature aggregation and spatial context-aware transformer
Hilbert sEMG data scanning for hand gesture recognition based on deep learning
End-to-end speaker identification research based on multi-scale SincNet and CGAN
A subgradient-based neural network to constrained distributed convex optimization
Improving unsupervised domain adaptation through class-conditional compact representations
Developing a new model based on neuro-fuzzy system for predicting roof fall in coal mines
Dynamic sensor fault detection approach using data-driven techniques
A CMAC-based scheme for determining membership with classification of text strings
Regression-based weight generation algorithm in neural network for solution of initial and boundary value problems
Research on intelligent knowledge representation method and algorithm based on basic-element theory
Developing an imperialist competitive algorithm based on two improvement strategies in a hierarchical capacitated health network
Retraction Note: A novel system for automatic detection of K-complexes in sleep EEG
Stability of switched neural networks with time-varying delays
A transformer-based approach to irony and sarcasm detection
CNNFOIL: convolutional encoder decoder modeling for pressure fields around airfoils
A study on car flow organization in the loading end of heavy haul railway based on immune clonal selection algorithm
A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building
Neural networking-based decisions on Powell-Eyring fluid flow with identical stretched porous and free stream conditions
Explicit guiding auto-encoders for learning meaningful representation
GMM discriminant analysis with noisy label for each class
A recurrent neural network for modeling crack growth of aluminium alloy
A new fuzzy K-EVD orthogonal complement space clustering method
Stochastic robust stability for neutral-type impulsive interval neural networks with distributed time-varying delays
An ATC instruction processing-based trajectory prediction algorithm designing
Binary optimization using hybrid particle swarm optimization and gravitational search algorithm
Vision-based hand gesture recognition of alphabets, numbers, arithmetic operators and ASCII characters in order to develop a virtual text-entry interface system
Stability analysis for model-based study of nanofluid flow over an exponentially shrinking permeable sheet in presence of slip
Distributed regularized stochastic configuration networks via the elastic net
AnIO: anchored input-output learning for time-series forecasting
Histogram self-organizing map for cluster detection and visualization
Parameter optimization of chaotic system using Pareto-based triple objective artificial bee colony algorithm
Combined feature extraction method for classification of EEG signals
MGCRL: Multi-view graph convolution and multi-agent reinforcement learning for dialogue state tracking
Which scaling rule applies to large artificial neural networks
Blind Source Separation with Convolutive Noise Cancellation
Local extreme learning machine: local classification model for shape feature extraction
AI4SAFE-IoT: an AI-powered secure architecture for edge layer of Internet of things
Design of Hopfield network for cryptographic application by spintronic memristors
Thesaurus-based word embeddings for automated biomedical literature classification
A modified adaptive sparrow search algorithm based on chaotic reverse learning and spiral search for global optimization
Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases
Ellipsoidal support vector data description
A new hybrid gravitational search-teaching-learning-based optimization method for energy demand estimation of Turkey
Statistically correlated multi-task learning for autonomous driving
Event-triggered H ∞ state estimation for discrete-time neural networks with mixed time delays and sensor saturations
Application of neural network in prediction of temperature: a review
A multi-objective Monarch Butterfly Algorithm for virtual machine placement in cloud computing
Transfer learning-based lightweight MobileNetV2 with CBAM attention for rice leaf nutrient deficiency detection
An intelligent machine learning-enabled cattle reclining risk mitigation technique using surveillance videos
Selecting discriminant eigenfaces by using binary feature selection
A hybrid advertising media selection model using AHP and fuzzy-based GA decision making
Global stability of fuzzy cognitive maps
The Object Perceptron Learning Algorithm on Generalised Hopfield Networks for Associative Memory
A self-organizing recurrent fuzzy neural network based on multivariate time series analysis
Image recognition algorithm based on artificial intelligence
Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware
Prediction and characterization of surface roughness using sandblasting and acid etching process on new non-toxic titanium biomaterial: adaptive-network-based fuzzy inference System
Special issue on emergence in human-like intelligence toward cyber-physical systems
Research on evolutionary model of urban rail transit vulnerability based on computer simulation
Data-driven and uncertainty-aware robust airstrip surface estimation
Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review
Determination of wheat types using optimized extreme learning machine with metaheuristic algorithms
A novel numerical mapping method based on entropy for digitizing DNA sequences
Sparse regularized discriminative canonical correlation analysis for multi-view semi-supervised learning
Process disturbance identification through integration of spatiotemporal ICA and CART approach
IRNet-RS: image retargeting network via relative saliency
Incorporation of stochastic fractal search algorithm into efficient design of PID controller for an automatic voltage regulator system
On MHD radiative Jeffery nanofluid flow with convective heat and mass boundary conditions
CNN-based Indian medicinal leaf type identification and medical use recommendation
Integrating information by Kullback-Leibler constraint for text classification
Enhancement of the neural network modeling accuracy using a submodeling decomposition-based technique, application in gas sensor
Emerging applications of Deep Learning and Spiking ANN
A novel consensus PSO-assisted trajectory unified and trust-tech methodology for DNN training and its applications
An application of cerebellar control model for prehension movements
Neural acceleration of incomplete factorization preconditioning
State estimation of T-S fuzzy Markovian generalized neural networks with reaction-diffusion terms: a time-varying nonfragile proportional retarded sampled-data control scheme
Double-hierarchy hesitant fuzzy linguistic information-based framework for green supplier selection with partial weight information
On the learning machine for three dimensional mapping
A functional enhancement on scarred fingerprint using sigmoid filtering
Development of GEP-based functional relationship for sediment transport in tropical rivers
A new training strategy for spatial transform networks (STN's)
Fourier convolutional decoder: reconstructing solar flare images via deep learning
Collection and application of building visualisation information based on IoT sensors
Advancing forensic dentistry: a comprehensive review of machine learning and deep learning applications in dental image analysis
Robust adaptive NN control for a class of uncertain discrete-time nonlinear MIMO systems
Investigation of ensemble methods in terms of statistics: TIMMS 2019 example
Constructing a smoothed Leaky ReLU using a linear combination of the smoothed ReLU and identity function
Sparse discriminant twin support vector machine for binary classification
Local sparse representation projections for face recognition
Hard exudate detection in retinal fundus images using supervised learning
Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study
Sentiment analysis via semi-supervised learning: a model based on dynamic threshold and multi-classifiers
UDA-student network and the role of pixel-space relationships in pseudo-label optimization
Multi-dimensional, multi-functional and multi-level attention in YOLO for underwater object detection
Weighted differential evolution algorithm for numerical function optimization: a comparative study with cuckoo search, artificial bee colony, adaptive differential evolution, and backtracking search optimization algorithms
Performance analysis of artificial bee colony (ABC) algorithm in optimizing release policy of Aswan High Dam
Communication with factorized policy gradients in multi-agent deep reinforcement learning
Neural network methods for one-to-many multi-valued mapping problems
A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering
Stacked ResNet-LSTM and CORAL model for multi-site air quality prediction
Multimodal sentiment system and method based on CRNN-SVM
EEG-based tonic cold pain recognition system using wavelet transform
Correction: Hierarchical reinforcement learning for kinematic control tasks with parameterized action spaces
Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction
Estimation of photovoltaic module model's parameters using an improved electromagnetic-like algorithm
A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material
MLTCN-EEG: metric learning-based temporal convolutional network for seizure EEG classification
Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean
Identification of a golf swing robot using soft computing approach
Internal model control based on a novel least square support vector machines for MIMO nonlinear discrete systems
Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors
Multi-task learning-based temporal pattern matching network for guitar tablature transcription
Gene-CWGAN: a data enhancement method for gene expression profile based on improved CWGAN-GP
Spatiotemporal neural networks for action recognition based on joint loss
TypeFormer: transformers for mobile keystroke biometrics
A dataset and benchmark for malaria life-cycle classification in thin blood smear images
DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases
Empirical analysis: stock market prediction via extreme learning machine
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series
"What-Where" sparse distributed invariant representations of visual patterns
A Comparative Study for Forecasting using Neural Networks vs Genetically Identified Box and Jenkins Models
Classification of organic and conventional olives using convolutional neural networks
Enhancing sparsity via full rank decomposition for robust face recognition
Fingerprint image enhancement and recognition algorithms: a survey
Spatiotemporal synchronous dynamic graph attention network for traffic flow forecasting
Prediction of splitting tensile strength from the compressive strength of concrete using GEP
Developing a strategy based on weighted mean of vectors (INFO) optimizer for optimal power flow considering uncertainty of renewable energy generation
Enhanced multi-level features for very high resolution remote sensing scene classification
Detection of HTTP flooding attacks in cloud using fuzzy bat clustering