yusuke1997/dblp-id-title huggingface dataset:
LRI: A low rank approach to non-local sparse representation for image interpolation
Robust predictive controller based on an uncertain neural networks model
A spatio-temporal model of multi-sensory learning that demonstrates improved object recall
Modeling of thermodynamic properties of substances by neural networks
A probabilistic framework for joint approximate diagonalization
Incorporating User Preference into Multi-community and Outliers Search
WaveFormer: A Wavelet Transformer for Parkinson Disease's Retinal Layer Segmentation in OCT
F β support vector machines
BCRNet: A Lightweight Branched Convolutional Neural Network Enhanced with Riemannian Geometry for End-to-End EEG-Based Emotion Recognition
Clustering-regression-ordering steps for knowledge discovery in spatial databases
On Prediction Feature Assignment in the Heckman Selection Model
Predicting the sentiment of SaaS online reviews using supervised machine learning techniques
Adaptive Transferred-profile Likelihood Learning
Knowledge matching model with dynamic weights based on the primary visual cortex
Integers neural network systems (INNS) using resonance properties of a Fibonacci's chaotic 'golden neuron'
Obj3Dify: Occlusion-Invariant 3D Reconstruction of Hand-Held Objects
Ensemble Minimum Sum of Squared Similarities sampling for Nyström-based spectral clustering
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition
Using Bootstrap AdaBoost with KNN for ECG-based automated obstructive sleep apnea detection
Selective and cooperative potentiality maximization for improving interpretation and generalization
MicroHFRCL: A History Faults Based Root Cause Localization Framework in Microservice Systems
A R-P learning applied to a network model of cortical area 7a
Analysis of COP stability in a refrigeration system using artificial neural networks
Hidden Markov model estimation based on alpha-EM algorithm: Discrete and continuous alpha-HMMs
Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction
Joint Distribution Adaptation via Wasserstein Adversarial Training
Clustering interval-valued data with automatic variables weighting
Neural network PMV estimation for model-based predictive control of HVAC systems
A neural network-based speed filter for induction motors: Adapting to motor load changes
Neuro-evolutionary approach to stock market prediction
Dual Relation-Aware Entity Alignment for Knowledge Graph
A Hybrid Convolutional Approach for Parking Availability Prediction
A hierarchical Bayesian model of invariant pattern recognition in the visual cortex
NSA: Naturalistic Support Artifact to Boost Network Confidence
Observer-based adaptive neural control for nonlinear systems
Predictive PER: Balancing Priority and Diversity Towards Stable Deep Reinforcement Learning
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating
Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification
STDP Training of Hierarchical Spike Timing Model of Visual Information Processing
From neural activation to symbolic alignment: A network-based approach to the formation of dialogue lexica
Label-Dividing Gated Graph Neural Network for Hierarchical Text Classification
Tree-based Fitted Q-iteration for Multi-Objective Markov Decision problems
Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series
Condensed Convolution Neural Network by Attention over Self-attention for Stance Detection in Twitter
Multi-kernel probability distribution regressions
Separate and Integrate Different Level Reasoning for Event Causality Identification
Cognitive Identity Management: Synthetic Data, Risk and Trust
Using a Neural Network Codec Approximation Loss to Improve Source Separation Performance in Limited Capacity Networks
Adaptive Topological Graph Learning for Generalized Multi-View Clustering
Individualized HRTFs from few measurements: a statistical learning approach
Slide-CLIP: A Simple and Effective Pruning Method for CLIP
Application of radial basis function networks to model electric arc furnaces
New Fast Time Delay Neural Networks Using Cross Correlation Performed in the Frequency Domain
Stepwise Feature Selection by Cross Validation for EEG-based Brain Computer Interface
A Temporal and Self-Attention Based Method for Small Object Detection in UAV Imagery
A perceptual interface for vision substitution in a color matching experiment
A neural network model for detecting DDoS attacks using darknet traffic features
Optimization of type-2 fuzzy systems based on the level of uncertainty, applied to response integration in modular neural networks with multimodal biometry
Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding
MultiLogistic Regression using Initial and Radial Basis Function covariates
A Reinforcement Learning Framework for Medical Image Segmentation
CHARISMA: A Context Hierarchy-based cognitive architecture for self-motivated social agents
Automated Vulnerable Codes Mutation through Deep Learning for Variability Detection
ART-1 neural network for reducing search space in 3-D object recognition using multiple views
A domain-mismatch speech recognition system in radio communication based on improved spectrum augmentation
Nonparametric approach for estimating dynamics of stock index
Neural Network Deinterlacing Using Multiple Fields and Field-MSEs
A biologically inspired action selection algorithm based on principles of neuromodulation
Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks
A new lightweight YOLOv8 for vehicle detection
A Gender Recognition System using Shunting Inhibitory Convolutional Neural Networks
CIS-Net: An End-to-end Chromosome Instance Segmentation Method Based on Disturbance Features Deactivation and Strengthened Disparity
Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization
Improving the Transferability of Adversarial Examples with Diverse Gradients
MOVie: GPU Memory Optimization for Large-Scale DNNs Training with Virtual Memory Management
Parallel Non Linear Dichotomizers
A General Approach to Gradient Based Learning in Multirate Systems and Neural Networks
Edge-Enabled Federated Learning for Predictive Energy Modeling in Multi-Building Systems
Neural network-based fuzzy modeling of the student in intelligent tutoring systems
TravelNet: A Recursive Decomposition-Based Time Series Forecasting Framework for Bus Travel Time Estimation
A comparative study of the IDS method and feedforward neural networks
RGNET: A Two-stage Low-light Image Enhancement Network Without Paired Supervision
The Frontal Lobes and Executive Function
An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classification
Hybrid neural networks system for large scale Chinese character set recognition
Modular Fuzzy Hyperline Segment Neural Network
Dynamic Bus Arrival Time Prediction: A temporal difference learning approach
HyDRA: Hierarchical and Dynamic Rank Adaptation for Mobile Vision Language Model
Convolutional Neural Network based sentiment analysis using Adaboost combination
NormToRaw: A Style Transfer Based Self-supervised Learning Approach for Nuclei Segmentation
Context encoder self-supervised approaches for eye fundus analysis
Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering
Effective neural network pruning using cross-validation
A fast exact k-nearest neighbors algorithm for high dimensional search using k-means clustering and triangle inequality
Incremental on-line learning of human motion using Gaussian adaptive resonance hidden Markov model
A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization
Learning the Features ignored by Classification Models using Staged Modeling Variational Autoencoder
Homeostatic Reinforcement Learning through Soft Behavior Switching with Internal Body State
Designing a Partially Understandable Neural Network through Semantic Embedding
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
Fast structural learning of distance-based neural networks
Blind inversion of Wiener system for single source using nonlinear blind source separation
Automatic offensive language detection from Twitter data using machine learning and feature selection of metadata
Support Vector Machine for Regression and Applications to Financial Forecasting
Semi-supervised detection of collective anomalies with an application in high energy particle physics
Hierarchical Rule Based Classification of MFL Signals Obtained from Natural Gas Pipeline Inspection
Spectral Clustering Joint Deep Embedding Learning by Autoencoder
EDANAS: Adaptive Neural Architecture Search for Early Exit Neural Networks
An analog neural oscillator circuit for locomotion controller in quadruped walking robot
A Method for Fault Classification in Transmission Lines Based on ANN and Wavelet Coefficients Energy
Augmenting Reservoirs with Higher Order Terms for Resource Efficient Learning
LSI module placement methods using neural computation networks
Multilayer Perceptron for Sparse Functional Data
TrajPred-MSM: A Multi-Scale Interactive High-Definition Map Encoding Approach for Trajectory Prediction
Finding optimal neural network basis function subsets using the Schmidt procedure
Stance Detection on Macro Topics in Social Discussions Via Multi-Factor Aggregation Analysis
A cross-situational algorithm for learning a lexicon using Neural modeling fields
Composite power system reliability evaluation using support vector machines on a multicore platform
Pattern completion through thalamo-cortical interaction
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series
Neural inverse optimal control for discrete-time uncertain nonlinear systems stabilization
LSGC: An Interactive Text Matching Model Combined with Enhanced Encoding
An Automated Network for Detecting Diesel Engine Misfire
A Cellular Neural Network as a Principal Component Analyzer
A dynamical model for community detection in complex networks
Study for ELM-based recognition of fold structure aiming at remote sensing image
SASRM: A Semantic and Attention Spatio-temporal Recurrent Model for Next Location Prediction
Why Layering in Recurrent Neural Networks? A DeepESN Survey
Identification of nonlinear dynamic systems by using probabilistic universal learning networks
Attentional Feature Fusion for Few-Shot Learning
Deep Neural Networks with an Adaptive Runtime for Eye Tracking on Smart Glasses
From Signaling to Word-Combination, a Layered Approach
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network
Combining Deep Convolutional Feature Extraction with Hyperdimensional Computing for Visual Object Recognition
Luring Transferable Adversarial Perturbations for Deep Neural Networks
Unsupervised and adaptive category classification for a vision-based mobile robot
Neurobiological data sustaining opponent processing operations on self organizing networks as tools for the modeling of hippocampal dynamics
Hybrid Model for Cavitation Noise Spectra Prediction
Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System
RCapsNet: A Recurrent Capsule Network for Text Classification
Bayesian learning for time series prediction with exogenous variables
Automated Hyper-Parameter Tuning of a Mask R-CNN for Quantifying Common Rust Severity in Maize
Invisible Backdoor Attack against 3D Point Cloud by Optimized 3D Transformation
Attention-based Neighbor Selective Aggregation Network for Camouflaged Object Detection
Intention Aggregation and Category Enhancement Graph Neural Network for Session-based Recommendation
Hybrid Quantum-Classical Framework for Anomaly Detection in Time Series with QUBO formulation and QAOA
Using support vector machines in multi-objective optimization
Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints
E-EmotiConNet: EEG-based Emotion Recognition with Context Information
Nonnegative Shifted Tensor Factorization in time frequency domain
Using self-organizing incremental neural network (SOINN) For radial basis function networks
Restricted Boltzmann machine based stock market trend prediction
An algorithm for real-time object tracking in complex environment
Using semantic relatedness measures with dynamic self-organizing maps for improved text clustering
Automatic Classification of Vulnerabilities using Deep Learning and Machine Learning Algorithms
Analyzing effect of distraction caused by dual-tasks on sharing of brain resources using SOM
On Correlation of Features Extracted by Deep Neural Networks
Pruning neural networks by synchronously changing weight information
A reinforcement learning scheme for acquisition of via-point representation of human motion
Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression
A Multiple Granularity Co-Reasoning Model for Multi-choice Reading Comprehension
A Deep Prediction Model of Traffic Flow Considering Precipitation Impact
Neuromimetic encoding/decoding of spatiotemporal spiking signals from an artificial touch sensor
Modular neural networks for person recognition using segmentation and the iris biometric measurement with image pre-processing
Content based image retrieval using a neuro-fuzzy technique
Wavelet Transform and Convolution Combined Network for Unsupervised Anomaly Detection
Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling
Rethinking the Feature Iteration Process of Graph Convolution Networks
HZS-NAS: Neural Architecture Search with Hybrid Zero-Shot Proxy for Facial Expression Recognition
Cooperation of neural nets for robust classification
A Design of PID Controllers with a Switching Structure by a Support Vector Machine
Predictable Uncertainty-Aware Unsupervised Deep Anomaly Segmentation
PMGNN: A Pioneer-Master Graph Neural Network for Graph Classification
Designing Competitive Ensembles for the Container Relocation Problem
Alleviating Catastrophic Forgetting via Multi-Objective Learning
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence
Locally recurrent neural networks optimal filtering algorithms: application to wind speed prediction using spatial correlation
Comparing Multi-Armed Bandit Algorithms and Q-learning for Multiagent Action Selection: a Case Study in Route Choice
Variation in classification accuracy with number of glimpses
EM Algorithm and -ICA Learning Based upon Extended Logarithmic Information Measures
Application of a CMAC neural network to the control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle
Multiple Self-attention Network for Intracranial Vessel Segmentation
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting
Balance the Labels: Hierarchical Label Structured Network for Dialogue Act Recognition
Manually Crafted Chinese Text Corpus for Text Emotion Recognition
Image segmentation based on a dynamically coupled neural oscillator network
Switching Learning Law for Differential Neural Observer for Biodegradation Process
Evolution of large feedforward networks
Match memory recurrent networks
N2Sky - A Neural Network Problem Solving Environment Fostering Virtual Resources
Development of an efficient parameter estimation method for the inference of Vohradský's neural network models of genetic networks
LU-Net: Invertible Neural Networks Based on Matrix Factorization
Learning a hierarchical fuzzy system with autonomous navigation as an example
Engagement Recognition in Online Learning Based on an Improved Video Vision Transformer
A computational approach for authorship attribution of literary texts using sintatic features
Modelling Reinforcement Learning in the Basal Ganglia: A Neuromodulated Approach on SpiNNaker
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-Quality Data for Training
Neural Network Pruning for Function Approximation
Selection of Distributed Sensors for Multiple Time Series Prediction
Fluorescence Micrograph Segmentation by Gestalt-Based Feature Binding
A Novel Framework for Inverse Problems: Fixed-Point Iteration Using Consistency Models
Partitioned neural networks
Digital Filters Design for Personal Sound Zones: a Neural Approach
Algorithm and software for simulation of spiking neural networks on the multi-chip SpiNNaker system
Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval
Emotion Intensity Estimation from Video Frames using Deep Hybrid Convolutional Neural Networks
A new efficient SVM and its application to real-time accurate eye localization
Time Series Prediction by Quaternionic Qubit Neural Network
VC Dimension Bounds for Product Unit Networks
Instance selection algorithm based on a Ranking Procedure
The Hidden Layer Associative Memory Model of Hippocampus
A synthesis procedure for associative memories using cellular neural networks with space-invariant cloning template library
System identification using the neural-extended Kalman filter for state-estimation and controller modification
Identifying stable breast cancer subgroups using semi-supervised fuzzy c-means on a reduced panel of biomarkers
Reducing Vibration of the Seat with Semi-active Damper by Using the Artificial Neural Networks
Neural Network based Intrusion Detection System for critical infrastructures
Urban Area Vehicle Re-Identification With Self-Attention Stair Feature Fusion and Temporal Bayesian Re-Ranking
Construction of recurrent mixture models for time series classification
Physiological activation of the hind limb muscles of the anesthetized cat using the Utah slanted electrode array
A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Analytical Function Recognition
An optimal matching-score net for pattern classification
An island-model framework for evolving neuro-controllers for planetary rover control
DVKCM: Knowledge-guided Conversation Generation with Dynamic Vocabulary
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
A new line symmetry distance based pattern classifier
Surrogate Modeling of Refrigerant Circuits Using Machine Learning
Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips
Two perspectives to investigate the intrinsic organization of the dynamic and ongoing spontaneous brain activity in humans
Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks
Interval data clustering using self-organizing maps based on adaptive Mahalanobis distances
Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations
Curvilinear Collaborative Metric Learning with Macro-micro Attentions
Conservative In-Distribution Q-Learning for Offline Reinforcement Learning
SSSC's Adaptive Neural Control
An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise
A clustering method of chromosome fluorescence profiles by modified self organizing map
Neural network ensemble with temperature control
A high performance SSVEP-BCI without gazing
Active Learning with an Adaptive Classifier for Inaccessible Big Data Analysis
Scene-based Graph Convolutional Networks for Federated Multi-Label Classification
The Context-Aware Learning Model: experience-powered Logistic Regression Backpropagation (CALM-epLRB)
Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter
FEBAM: A Feature-Extracting Bidirectional Associative Memory
Convergence Time in Hopfield Network
DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domains
Heterogeneous Augmentation Based Spatio-Temporal Graph Convolutional Network for Traffic Forecasting
Efficient Evolution for Neural Architecture Search
AdaBoost.RT: a boosting algorithm for regression problems
Estimating Betti Numbers Using Deep Learning
Universal Transformer Hawkes process
On Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays
Feature Importance Analysis for Customer Management of Insurance Products
Pattern detection by cellular neuronal networks (CNN) in long-term recordings of a brain electrical activity in epilepsy
FPE-Net: Face Privacy-Enhancing Method Using Biometric Encryption
A Deep Learning-Based Intrusion Detection System for Safeguarding ROS 2-Powered Unmanned Ground Vehicles Against DoS Attacks
Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning
A neuro-SVM model for text classification using latent semantic indexing
Two-dimensional multi-layer Factor Graphs in Reduced Normal Form
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
Nonlinear prediction with self-organizing maps
Training neural hardware with noisy components
Multimodal Prediction of Tearing Instabilities in a Tokamak
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
Adaptive dynamic TSKCMAC neural networks for prediction and identification
An efficient active set method for SVM training without singular inner problems
Sonar based Simultaneous Localization and Mapping using a Neuro Evolutionary Optimization
Adaptive Harmony Learning and Optimization for Attributed Graph Clustering
Unsupervised Domain Adaptation for Cross-Scene Hyperspectral Image Classification Based on Decoupled Contrastive Learning
Enhancing classification performance of multi-class imbalanced data using the OAA-DB algorithm
Multi-scale local pattern co-occurrence matrix for textural image classification
Efficient implementation of STDP rules on SpiNNaker neuromorphic hardware
Fast Neural Implementation of PCA for Face Detection
Generational versus steady-state evolution for optimizing neural network learning
Low level visual feature extraction by learning of multiple tasks for Convolutional Neural Networks
Micromagnetic and quantitative prediction of hardness of Cr12MoV steels using transfer learning method
Hybrid Machine Learning Models Applied to Daily Urban Water Consumption Prediction
Continuous adaptive critic designs
Using Neural Networks for Estimation of Aquifer Dynamical Behavior
SQMG: An Optimized Stochastic Quantization Method Using Multivariate Gaussians for Distributed Learning
Dual-Domain Model for Enhanced Visual Grounding with Cross-Modal Interaction
Experiments with a Hybrid-Complex Neural Networks for Long Term Prediction of Electrocardiograms
An Evaluation of Standard Retrieval Algorithms and a Weightless Neural Approach
On Stability of Nonlinear Observers Based on Neural Networks
Intrusion detection method based on information gain and ReliefF feature selection
Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations
A spatial selective visual attention pattern recognition method based on joint short SSVEP
The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models
A TOPSIS based Self-Organizing Double Loop Recurrent Broad Learning System for Uncertain Nonlinear Systems
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
Toward an analog VLSI implementation of a decision making model
Sensitivity and similarity regularization in dynamic selection of ensembles of neural networks
Few-shot Graph Classification with Contrastive Loss and Meta-classifier
Informative Discrimination Network for Efficient Single Image Super-Resolution
Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems
Neural Processing of Complex Continual Input Streams
Approximating Binarization in Neural Networks
Impact of biased mislabeling on learning with deep networks