yusuke1997/dblp-id-title huggingface dataset:
Supervised brain emotional learning
Opposition-based particle swarm optimization for the design of beta basis function neural network
Self-enhancement learning: Self-supervised and target-creating learning
Moving in a fog: stimulus contrast affects the perceived speed and direction of motion
Building mutually beneficial relationships between question retrieval and answer ranking to improve performance of community question answering
Multi-robot cooperative planning by consensus Q-learning
Applying ICA on neural network to simplify BOF endpiont predicting model
An efficient learning method for RBF Neural Networks
An information theoretic method for designing multiresolution principal component transforms
Automated tracking and classification of infrared images
Extended Kalman filter learning algorithm for hyper-complex multilayer neural networks
Fragile Watermarking for Image Certification Using Deep Steganographic Embedding
Change Detection Method for Nighttime Large-Field Video Images Combining Anisotropic Diffusion and Non-Negative Matrix Factorization
Contrastive Learning in Wavelet Domain for Image Dehazing
Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition
Learning multisensory neural controllers for robot arm tracking
GLoSyformer: Global-Local Synergistic Enhanced Transformer for Multivariate Time Series Forecasting
Learning Navigation via R-VIN on Road Graphs
A Deep Neural Approach to KGQA via SPARQL Silhouette Generation
Signal separation processor based on second-order statistic algorithms
Language Models Understand Themselves Better: A Zero-Shot AI-Generated Text Detection Method via Reading and Writing
Multiple Kinds of Paper Currency Recognition Using Neural Network and Application for Euro Currency
Optimizing the quality of bootstrap-based prediction intervals
Variational Bayesian tracking: Whole track convergence for large-scale ecological video monitoring
FIE-FCMAC: A novel fuzzy cerebellum model articulation controller (FCMAC) using fuzzy interpolation and extrapolation technique
On Classification Models of Gene Expression Microarrays: The Simpler the Better
Learning distant cause and effect using only local and immediate credit assignment
Semi-supervised learning using constrained laplacian regularized least squares
Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition
Robust command recognition using kernel learning algorithms
Stimulus dependent habituation in a bottom - up brain inspired model of learning and memory
ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio
A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering
Identifying Bee Species by Means of the Foraging Pattern Using Machine Learning
2025: A GPT Odyssey. Deconstructing Intelligence by Gradual Dissolution of a Transformer
Mitigating Outlier Effect in Online Regression: An Efficient Usage of Error Correntropy Criterion
Gradient-based SOM clustering and visualisation methods
Quality measurement of unwrapped three-dimensional fingerprints: A neural networks approach
A Pre-Attentive Neural System for the Analysis of Nuclear Physics Experimental Data
Personalized Learning Using Kernel Methods and Random Fourier Features
Theories of Neural Networks Leading to Unsupervised Learning
Scaling Dual Stage Image-Text Retrieval with Multimodal Large Language Models
Multiple memristor read and write circuit for neuromorphic applications
Computing with oscillations by phase encoding and decoding
Dual Deep Neural Network approach to matching data in different modes
Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines
Groupwise Bayesian dimension reduction
Structural information processing in early vision using Hebbian-based mean shift
Color space selection for self-organizing map based foreground detection in video sequences
The self-organization by lateral inhibition model: validation of clustering
How to Keep an Online Learning Chatbot From Being Corrupted
TRICAN: Multi-Modal Hateful Memes Detection with Triplet-Relation Information Cross-Attention Network
DPLL based hardware SOM with a new winner-take-all circuit
Recursively partitioning neural networks for radar target recognition
Reduction of catastrophic forgetting with transfer learning and ternary output codes
Unsupervised entropy-based selection of data sets for improved model fitting
Fault-Tolerance of Robust Feed-Forward Architecture Using Single-Ended and Differential Deep-Submicron Circuits Under Massive Defect Density
Gated Graph Pooling with Self-Loop for Graph Classification
An improved neural architecture for gaze movement control in target searching
Robust structure selection of radial basis function networks for nonlinear system identification
Asynchronous Decentralized Learning of Randomization-Based Neural Networks
On the design of Hopfield Neural Networks: Synthesis of hopfield type associative memories
How Does Knowledge Injection Help in Informed Machine Learning?
Stochastic chaos versus deterministic chaos: a case for analog versus digital embodiment of devices for pattern recognition
A face detection system using shunting inhibitory convolutional neural networks
Visualization of High Dimensional Data using an Automated 3D Star Co-ordinate System
Conditional entropy minimization in neural network classifiers
A Spatial-Temporal Graph Attention Network for Multi-intersection Traffic Light Control
Improving Accuracy and Generalizability via Multi-Modal Large Language Models Collaboration
A novel clustering-neural tree for pattern classification
Continuous Variational Quantum Algorithms for Time Series
An alternative sensor Cloud architecture for vital signs monitoring
Learning mixtures of experts with a hybrid generative-discriminative algorithm
Growing smaller networks with the tiling algorithm
Deformable Feature Interaction Network and Graph Structure Reasoning for 3D Dense Alignment and Face Reconstruction
Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models
Learning Transferable Features For Open-Domain Question Answering
Internet traffic classification based on Min-Max Ensemble Feature Selection
Oscillation analysis of the solutions for a four coupled FHN network model with delays
Speech recognition using fuzzy logic
Time delays in a HyperNEAT network to improve gait learning for legged robots
Retinal image classification using a histogram based approach
Deep Domain Adaptation for Vulnerable Code Function Identification
Mixing Up Real Samples and Adversarial Samples for Semi-Supervised Learning
Histogram coding for recognition of contours presented by Bezier curves
CharDetNet: Lightweight Ancient Character Detection with Mixed Attention
Video object segmentation using spatio-temporal deep network
Vehicle license plate location based on Harris corner detection
A new segmentation algorithm for handwritten word recognition
Adaptive exploration in reinforcement learning
A computational model of perirhinal cortex: Gating and repair of input to the hippocampus
Iterative Filter Pruning for Concatenation-based CNN Architectures
Hierarchical System of Gene Selection Based on Deep Learning and Ensemble Approach
DRL Based Intelligent Joint Manipulator and Viewing Camera Control for Reaching Tasks and Environments with Obstacles and Occluders
FedSH: Tackling Staleness By Scheduling High-order Approximation in Asynchronous Federated Learning
Counting objects with biologically inspired regulatory-feedback networks
Synchronization phenomena of a mutually pulse-coupled network of integrate-and-fire circuits
Evolving Neuro-Fuzzy Systems in Federated Regression
Collective discovery of brain networks with unknown groups
Multivariate time series model discovery with similarity-based neuro-fuzzy networks and genetic algorithms
A modified frequency domain cross correlation implemented in MATLAB for fast sub-image detection using neural networks
tinyDigiClones: A Multi-Modal LLM-Based Framework for Edge-optimized Personalized Avatars
Neural networks to depict the knowledge of multi-agents systems: application to image processing
MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation
The delta test: The 1-NN estimator as a feature selection criterion
A Non-local Graph Neural Network for Identification of Essential Proteins
Deep unsupervised state representation learning with robotic priors: a robustness analysis
Protein secondary structure prediction using machine learning
Research on Mobile Target Tracking and Positioning in Wide-Area Complex Electromagnetic Environments
A Bi-Objective Model for Shelf Space Allocation Using a Hybrid Genetic Algorithm
Dynamic associative memory, based on open recurrent neural network
Rotor Associative Memory with a Periodic Activation Function
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks
How to maintain information content in artificial neural networks with coherence adaptation
Estimation of linear filter banks for multivariate time series prediction with temporal principal component analysis
Autonomous diagnostics and prognostics through competitive learning driven HMM-based clustering
Alpha-EM gives fast Hidden Markov Model estimation: Derivation and evaluation of alpha-HMM
A statistical aimbot detection method for online FPS games
A design of model driven cascade PID controllers using a neural network
AdaptiveSleepNet: State-Space Sequence Enhanced Multi-modal Network for Sleep Staging
Adaptive fuzzy priors for Bayesian inference
Reasoning and Learning About Past Temporal Knowledge in Connectionist Models
Multi-class SVM with negative data selection for Web page classification
Multivariate Time Series Anomaly Detection with Few Positive Samples
Integrating Subjective and Objective Features for Image Aesthetics Assessment
Antonymy-Synonymy Discrimination through Repelling Parasiamese Neural Networks
An interpretable graph-based image classifier
Incremental rule learning with partial instance memory for changing concepts
MoDE: Mixture of Diffusion Experts for Any Occluded Face Recognition
High Speed, Programmable Implementation of a Tanh-like Activation Function and Its Derivative for Digital Neural Networks
Spectral analysis and artificial neural network based classification of three mental states for brain machine interface applications
A Computational Intelligence Characterization of Solar Magnetograms
Deep Learning based fully automatic efficient Burn Severity Estimators for better Burn Diagnosis
Robust Meta Reinforcement Learning via Environment Context Enhancement
Multi-scale Local Region Relation Attention in Convolutional Neural Networks for Facial Action Unit Intensity Prediction
TONUS: Neuromorphic human pose estimation for artistic sound co-creation
Vanishing Privacy: Fast Gradient Leakage Threat to Federated Learning
Metrics that Learn Relevance
Rapid isolation of small oscillation faults via deterministic learning
Direct Neural-Adaptive Control with Quantifiable Bounds and Improved Performance
ByteZip: Efficient Lossless Compression for Structured Byte Streams Using DNNs
Dynamical-functional neural networks for time series prediction
Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation
Improved evoked potential estimation using neural network
Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training
Let the Margin SlidE ± for Knowledge Graph Embeddings via a Correntropy Objective Function
Decoding motor cortical activities of Monkey: A dataset
DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution
Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives
Leveraging RAG for Privacy Violation Detection and Explainability
Variational Inference for Quantum HyperNetworks
PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction
TimeSAN: A Time-Modulated Self-Attentive Network for Next Point-of-Interest Recommendation
Evaluation criteria for closed-loop adaptive dynamic discrete-continuous brain-computer interfaces: clinical study case with tetraplegic patient
Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
Sparse Attack with Meta-Learning
Artificial neural networks and data fusion as a biomass virtual sensor
A simulation of somatosensory cortical map plasticity
Learning to Stabilize Column Generation
Face Attribute Prediction in Live Video using Fusion of Features and Deep Neural Networks
Thematic role assignment through a biologically plausible symbolic-connectionist hybrid system
Multilingual Pre-training Model-Assisted Contrastive Learning Neural Machine Translation
Data analysis in Weitzenbock space
Genetic Algorithms and Neural Networks: Making Use of Parameter Space Symmetries
SpA-Former:An Effective and lightweight Transformer for image shadow removal
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints
New Formulation of SVM for Model Selection
ETRT-Net: Efficient Non-Local Transformer and Residual Triplet Attention for Breast Lesion Segmentation
Learning similarity metric with SVM
ISANE: An Interpretable Real-time News Event Evaluation Stock Prediction Model
Class Incremental Aerial Scene Recognition Under Long-Tailed Distribution
Low Complexity Adaptive Non-Linear Function for Blind Signal Separation
AdaBoost algorithm with random forests for predicting breast cancer survivability
Artificial neural networks methods applied to conductometric microhotplate data for the identification of the type and relative concentration of chemical warfare agents
Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
From Face Recognition to Facial Pareidolia: Analysing Hidden Neuron Activations in CNNs for Cross-Depiction Recognition
Blind separation of convolved sources using the information maximization approach
An AutoML-based Approach to Multimodal Image Sentiment Analysis
BSOM network for pupil segmentation
A flocking-like technique to perform semi-supervised learning
Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation
A model based search method for prediction in model-free Markov decision process
Snapshot Spectral Clustering - a costless approach to deep clustering ensembles generation
Adaptive Fourier Style Alignment:A New Perspective on Few-Shot Segmentation
Multi-objective cooperative coevolution of neural networks for time series prediction
Creative brain and abstract art: A quantitative study on Kandinskij paintings
Iterative feature weighting for identification of relevant features with radial basis function networks
Aspect Term Extraction via Contrastive Learning over Self-augmented Data
Nonlinear independent component analysis by learning generalized adalines
A reversibility analysis of encoding methods for spiking neural networks
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
Computational intelligence approach for estimation of vehicle insurance risk level
Neural network stabilizing control of single machine power system with control limits
Dimension Estimation and Topological Manifold Learning
Algorithms for orthogonal nonnegative matrix factorization
Accelerated simulation of spiking neural networks using GPUs
De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning
Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks
A self-organizing neural structure for concept formation from incomplete observation
Pattern Recognition with Eye Movement: A Neural Network Model
Analyzing the state space property of echo state networks for chaotic system prediction
Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network
Controlling the Charging of Electric Vehicles with Neural Networks
Prediction of the CATS benchmark using a business forecasting approach to multilayer perceptron modelling
RDF based Integrated Information Retrieval in grid computing environment
Mix-hops Graph Convolutional Networks for Skeleton-Based Action Recognition
Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models
STDP enhances frequency synchrony in neural networks with a pacemaker
The adaptive suffix tree: A space efficient sequence learning algorithm
Spatio-Temporal Modeling For Air Quality Prediction Based On Spectral Graph Convolutional Network And Attention Mechanism
FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction
Inheritance of information in multi-layer sigma-pi neural networks
A neural network application for attack detection in computer networks
Domain Infused Conversational Response Generation for Tutoring based Virtual Agent
Discovering biomedical causality by a generative Bayesian causal network under uncertainty
Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods
MarIns3D: A Open Vocabulary 3D Instance Segmentation Model with Mask Refinement
Towards Reliable X-ray Security: SCE-DETR for Detection and Occlusion Handling
Chain-of-Morphemes Tuning: Injecting Morphology in LLM-based Machine Translation
Conditional multi-output regression
Prediction of white noise time series using artificial neural networks and asymmetric cost functions
Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances
Learning in competitively inhibited neural nets
Learning internal representations of pattern sequences in a neural network with adaptive time-delays
A fast analogue K-winners-take-all neural circuit
Parameter Reduction For Deep Neural Network Based Acoustic Models Using Sparsity Regularized Factorization Neurons
FBWN: An architecture of fast beta wavelet networks for image classification
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient
Automatic optimization method for EAST-NBI beam extraction experiment parameters based on neural network
A Continuous Restricted Boltzmann Machine and Logistic Regression Framework for Circuit Classification
Real-time PCA (principal component analysis) implementation on DSP
Trajectory tracking via adaptive recurrent control with input saturation
VDGAN: A Collaborative Filtering Framework Based on Variational Denoising with GANs
Summarizing Source Code from Structure and Context
STTP: Urban Spatio-Temporal Forecasting with Timestamp Information Mining and Pattern Differentiation
Gesture Learning Based on A Topological Approach for Human-Robot Interaction
A nonparametric information theoretic approach for change detection in time series
Mapping LSSVM on digital hardware
RsSafe: Personalized Driver Behavior Prediction for Safe Driving
RL-Pruner: Retraining-Free Global Exploration Pruning Method Based on Reinforcement Learning
Quantum Morphogenetic System in View-Invariant recognition
Exploit of online social networks with Semi-Supervised Learning
Estimation of Ocean Water Chlorophyll-a Concentration Using Fuzzy C-means Clustering and Artificial Neural Networks
Graph Neural Solver for Power Systems
Compact hardware for real-time speech recognition using a Liquid State Machine
Paving the way for providing teaching feedback in automatic evaluation of open response assignments
Early stabilizing feature importance for TensorFlow deep neural networks
Hierarchical and Multi-Resolution Preference Modeling for Next POI Recommendation
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
Autonomous driving quality assurance with data uncertainty analysis
Hierarchical Feature Learning Based on Memory for Skin Lesion Recognition
An empirical analysis of different sparse penalties for autoencoder in unsupervised feature learning
Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction
Algorithm of Partition based Network Boosting for imbalanced data classification
Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach
An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics
Adaptive Resonance Theory-based Clustering for Handling Mixed Data
CSARUNet: an attention mechanism-based model for image tampering localization with ringed residual block
Trait depressivity prediction with EEG signals via LSBoost
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition
Quantization in Energy-Efficient Federated Learning *
Augmenting Training Data for Low-Resource Neural Machine Translation via Bilingual Word Embeddings and BERT Language Modelling
A simple hierarchical approximation RBF neural network
A neural network model for bankruptcy prediction
Modeling the cholinergic innervation in the infant cortico-hippocampal system and its contribution to early memory development and attention
Improving Visual Road Condition Assessment by Extensive Experiments on the Extended GAPs Dataset
MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs
Vehicle Trajectory Clustering in Urban Road Network Environment Based on Doc2Vec Model
Self-reflective deep reinforcement learning
An associator network approach to robot learning by imitation through vision, motor control and language
Automatic basis selection for RBF networks using Stein's unbiased risk estimator
Sparse support vector regressors based on forward basis selection
NoiseGuard: A Three-Pronged Solution to Malicious Traffic Detection Under Label Noise and Class Imbalance
Interpretable Variational Autoencoders for Cognitive Models
Reward-Punishment Reinforcement Learning with Maximum Entropy
An On-Chip Learning Neural Network
Stability analysis of a self-organizing neural network with feedforward and feedback dynamics
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks
Tiny RNN Model with Certified Robustness for Text Classification
Studying the Transferability of Non-Targeted Adversarial Attacks
Enhancing Abstractive Dialogue Summarization with Internal Knowledge
A New Approach to Image Authentication using Local Image Icon of Unit-linking PCNN
Robust Representation from EEG via Pre-trained SeqMAE for Brain Activity Decoding
Multimodal aspect-category sentiment analysis based on multi-level information
Combination approach of SMOTE and biased-SVM for imbalanced datasets
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates
The Tensor Deep Stacking Network Toolkit
Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers
Incremental learning for online face recognition
Automatic text categorization by a Granular Computing approach: Facing unbalanced data sets
An insect brain inspired neural network for visual navigation in unstructured environments
A fast incremental Kernel Principal Component Analysis for learning stream of data chunks
Graph Convolutional Network Based Patent Issue Discovery Model
Detecting Large Aspect Ratio Objects with Geometry-Aware in Remote Sensing Images
A SVCA model for the competition on artificial time series (CATS) benchmark
Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning
Optimizing Support Vector regression hyperparameters based on cross-validation
A deep Point-Of-Interest recommendation system combining spatial, categorical, and social influence
Binding sparse spatiotemporal patterns in spiking computation
Lifelong Machine Learning for Topic Modeling Based on Hellinger Distance
Model ensemble for an effective on-line reconstruction of missing data in sensor networks
Approximation to continuous functionals and operators using adaptive higher-order feedforward neural networks
Temporal overdrive recurrent neural network