yusuke1997/dblp-id-title huggingface dataset:
Bridging AI and Regulation: Large Language Models for Documentation Compliance Check
A method to resolve the overfitting problem in recurrent neural networks for prediction of complex systems' behavior
Genetic algorithm for reservoir computing optimization
Visual comparison of performance for different activation functions in MLP networks
Question Classification by Convolutional Neural Networks Embodying Subword Information
Self-Supervised Masked Hypergraph Autoencoders for Spatio-Temporal Forecasting
EEG classification based on sparse representation
On Emotion Recognition of Faces and of Speech Using Neural Networks, Fuzzy Logic and the ASSESS System
A Combined Frequency-Domain Filtering and Multi-Scale Spatial Feature Communication Based Network for Hyperspectral Image Classification
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
Integrating Paragraph Structural Information into Discourse Semantic Comprehension for Implicit Discourse Relation Recognition
An importance weighted projection method for incremental learning under unstationary environments
Where-What Network 3: Developmental top-down attention for multiple foregrounds and complex backgrounds
Extracting activated regions of fMRI data using unsupervised learning
Approximate Bayesian Neural Network Trained with Ensemble Kalman Filter
Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks
Natural language generation using automatically constructed lexical resources
Boosting for feature selection for microarray data analysis
Neural network based prediction of protein structure and Function: Comparison with other machine learning methods
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning
An unsupervised-based dynamic feature selection for classification tasks
LLM-Driven "Coach-Athlete" Pretraining Framework for Complex Text-To-Motion Generation
Expectation-maximization approach to Boolean factor analysis
Incremental knowledge acquisition and self learning from text
Deep hashing learning networks
A hybrid multimodel neural network for nonlinear systems identification
Random time-division operation for salience of visual contours
AGDAformer: Agent-Guidance Dual Attention Transformer for Climate-Aware Crop Yield Prediction
Knowing the Unknown: Open-set Bacteria Classification in Gram Stain Microscopic Images
Kernel Factor Analysis with Varimax Rotation
Synthetic Sensor Data for Human Activity Recognition
Evaluation of robustness and performance of Early Stopping Rules with Multi Layer Perceptrons
A Comparison Study between Artificial Neural Networks and AR-Models, Applied to Norwegian Inflow Time Series
Creativity and thinking according to cognition-language-music model
Multi-resolution fuzzy ART neural networks
Extreme Learning Machines on Cayley-Dickson Algebra Applied for Color Image Auto-Encoding
Complex Preferences for the Integration of Neural Codes
Who should bid higher, NS or WE, in a given Bridge dealƒ
A higher order unit that performs arbitrary Boolean functions
A Survey on Classical and Deep Learning based Intermittent Time Series Forecasting Methods
Fast parking control of mobile robot based on multi-layer neural network on homogeneous architecture
Computational intelligence methods for helicopter loads estimation
Support Vector Machines and Wavelet Packet Analysis for Fault Detection and Indentification
Students Performance Prediction in Online Courses Using Machine Learning Algorithms
Multi-Source Neural Networks for Speech Recognition: A Review of Recent Results
A natural language processing neural network comprehending English
Percolation in memristive networks
Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems
Stochastic Intervention for Causal Effect Estimation
Topology Selection for Signal Change Detection in Sensor Networks: RBF vs MLP
Locomotion of a quadruped robot using CPG
Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble
High-Level Classification for Multi-Label Learning
Human head detection using multi-modal object features
Subcutaneous neural inverse optimal control for an Artificial Pancreas
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks
Framewise phoneme classification with bidirectional LSTM networks
Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study
NPFGLU: Unlearning Links in Graph Neural Networks
An Energy Theft Detection Framework with Privacy Protection for Smart Grid
An annealing approach to associative recall in the CBM model
A Novel Parameter-Free Attention-based Multiscale Convolution Prototype Networks for P300 Brain-computer Interface
Sparsely connected autoencoder
Characteristics of Small Scale Non-Monotonic Neuron Networks Having Large Potentiality for Learning
Neural networks input selection by using the training set
Wavelet Denoising and Attention-based RNN- ARIMA Model to Predict Forex Price
NIR-VIS Heterogeneous Face Synthesis via Enhanced Asymmetric CycleGAN
Metric Learning for Electrical Submersible Pump Fault Diagnosis
A new class of convolutional neural networks (SICoNNets) and their application of face detection
The scout cluster architecture for cognitive computing
FedSA: A Novel Heterogeneous Federated Learning Method Combining Structural Optimization and Client Aggregation
A novel BCI-SSVEP based approach for control of walking in Virtual Environment using a Convolutional Neural Network
General Adversarial Perturbation Simulating: Protect Unknown System by Detecting Unknown Adversarial Faces
Spatio-Temporal Distributed Solar Irradiance and Temperature Forecasting
Learning from neighborhood for classification with local distribution characteristics
How Good ANN Identification of Post-Stabilization Inflation Dynamics Can Be?
Cellular neural network with dynamic template and its output characteristics
Low Latency Spiking ConvNets with Restricted Output Training and False Spike Inhibition
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation
Self-supervised Graph Convolutional Networks for Multi-criteria Rating Recommendation
Development of Chebyshev neural network-based smart sensors for noisy harsh environment
A K-Winners-Take-All Neural Network Based on Linear Programming Formulation
Learning Semi-supervised SVM with Genetic Algorithm
An analysis of factors predicting memory loss in Alzheimer's disease prevention
Recurrent neural network based prediction of indian summer monsoon using global climatic predictors
A Learning Algorithm for Improved Pattern Synchronization in Networks with Biologically Motivated Neurons
The Time Adaptive Self-Organizing Map is a Neural Network Based on Artificial Immune System
Melodious Micro-frissons: Detecting Music Genres From Skin Response
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Hexapod gait control by a neural network
Learning communities: connectivity and dynamics of interacting agents
Adaptive on-line prediction soft sensing without historical data
MixDehazeNet: Mix Structure Block For Image Dehazing Network
Group-Patch Based Classification and Asymptotic Predicting Imbalanced Neuron Spikes
Approximation of Hammerstein/Wiener Dynamic Models
Semi-supervised hierarchical clustering for personalized web image organization
Emergence of Different Modes of Tool Use in a Reaching and Dragging Task
Sparse uncorrelated cross-domain feature extraction for signal classification in brain-computer interfaces
Interpretability in Mapping Weeds and Crops from Drone Images
Developing optimal neural network metamodels based on prediction intervals
Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning
DropIn: Making reservoir computing neural networks robust to missing inputs by dropout
The renormalization of neuronal dynamics can enhance temporal synchronization among synaptically coupled neurons
Fast and efficient second-order training of the dynamic neural network paradigm
Data Clustering using Self-Organizing Maps segmented by Mathematic Morphology and Simplified Cluster Validity Indexes: an application in remotely sensed images
Self-Organizing Neural Population Coding for improving robotic visuomotor coordination
Structural representation and reasoning in a hybrid cognitive architecture
Quantum-inspired Neural Network Based on Stochastic Liouville-von Neumann Equation for Sentiment Classification
Design and experimental evaluation of a 3-mass speed control system with a hybrid structure of sliding mode controller and CMAC
Colimits in memory: category theory and neural systems
Budgeted Hierarchical Reinforcement Learning
When NAS Meets Anomaly Detection: In Search of Resource-Efficient Architectures in Surveillance Video
GKT-CD: Make Cognitive Diagnosis Model Enhanced by Graph-based Knowledge Tracing
A general framework for development of the cortex-like visual object recognition system: Waves of spikes, predictive coding and universal dictionary of features
Enhancing multi-neural systems through the use of hybrid structures
ISL-MED: A General Iterative Self-Learning Framework for Speech Complex Emotion Detection
A novel heuristic Q-learning algorithm for solving stochastic games
A novel facial feature extraction method based on ICM network for affective recognition
Organization of oscillatory motor pattern generation networks in the mammalian central nervous system
A Connectionist Approach to Speech Understanding
Continual Learning with Pretrained Backbones by Tuning in the Input Space
An interval nonparametric regression method
CHDNet: Enhanced Arbitrary Style Transfer via Condition Harmony DiffusionNet
A hardware suitable Integrated Neural System for Autonomous Vehicles - Road Structuring and Path Tracking
LightLLIE: Lightweight Low-Light Image Enhancement via Dual Attention and Re-parameterization
Class-preserving manifold learning for detection and classification
Paraphrase Recognition via Combination of Neural Classifier and Keywords
Controllability of multi-level states in memristive device models using a transistor as current compliance during SET operation
Stock market prediction system with modular neural networks
Regularization constants in LS-SVMs: a fast estimate via convex optimization
Incorporating fuzzy prior knowledge into Relevance Vector Machine regression
Investigating Refractoriness in Collision Perception Neuronal Model
Hybrid neural-evolutionary model for electricity price forecasting
Neural signal analysis by landmark-based spectral clustering with estimated number of clusters
Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps
Neural Global Router
DWG-Reg: Deep Weight Global Registration
Image Compression Using Growing Neural Gas
Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph
A self-regulated learning in Fully Complex-valued Radial Basis Function Networks
A pixel-level, intensity-based nonlinear autoregressive classifier (NARX) with chromatic exogenous input for efficient image background subtraction
Nominal Data Similarity: A Hierarchical Measure
Instance-Level Data Augmentation for Multi-Person Pose Estimation: Improving Recognition of Individuals at Different Scales
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination
Learning with Coherence Patterns in Multivariate Time-series Data via Dynamic Mode Decomposition
Symbolic representations of time series applied to biometric recognition based on ECG signals
What Comes Next and Why? A Staged Encoder-Decoder Architecture for Script Event Prediction
Competitive two-island cooperative coevolution for training Elman recurrent networks for time series prediction
Bridging Clustering and Training Gap in Unsupervised Vessel Re-identification
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix
A flexible and efficient algorithm for regularized Marginal Fisher analysis
Multilevel Classification using a Taxonomy Applied to Recognizing Diptera Images
Factors affecting boosting ensemble performance on DNA microarray data
Single-Step Support Set Mining for Realistic Few-Shot Image Classification
Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States
Submodular neural network is better than modular neural network and support vector machines for personal verification
Pattern mining based on local distribution
Combining Manifold Learning and Neural Field Dynamics for Multimodal Fusion
A self-organizing system for object analysis and identification
Intelligent Failure Prediction in Industrial Vehicles
Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset
Analog Hardware Implementation of the Random Neural Network Model
A novel semi-supervised approach for feature extraction
Analysis of the backpropagation algorithm using linear algebra
Improving Lexical-Constraint-Aware Machine Translation by Factoring Encoders
Semantic-Aware Mixup for Domain Generalization
MBTFuse: A transformer-based multi-branch attention network for multi-modal image fusion
AMDRL: Simulation-Optimized UAV Network Routing in Knowledge-Defined Networking Using Graph Neural Network
Brain categorization: learning, attention, and consciousness
Least Redundant Gated Recurrent Neural Network
Mitigation of Multipath Influence on Tracking Errors in LEO Navigation Applications
Knowledge discovery in support of early diagnosis of hepatocellular carcinoma
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks
Object oriented learning network and its applications
Formal models of incremental learning and their analysis
A novel hardware-efficient liquid state machine of non-simultaneous CA-based neurons for spatio-temporal pattern recognition
Optimized Domain-Specific Text Processing with Keyword Knowledge Distillation (KKD)
A novel dynamically adjusted regressor chain for taxi demand prediction
It's Hard for Neural Networks to Learn the Game of Life
An hybrid neural network based system for optimization of coagulant dosing in a water treatment plant
New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images
A hybrid dynamical system with robust switching control by action dependent heuristic dynamic programming
Time-Invariant Latent Space Signatures for Enhanced Time-Frequency Domain Representation
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
Efficient Repetition Coding for Deep Learning Towards Implementation Using Emerging Non-Volatile Memory with Write-Errors
Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006
A Comparative Study of Graph-Based Learning Methods for Multivariate Time-Series Anomaly Detection in Cloud Microservice Applications
HJB equation based learning scheme for neural networks
Short-term prediction in an Oscillating Water Column using Artificial Neural Networks
An integration method of multi-modal biometrics using supervised pareto learning self organizing maps
Novel AI Frameworks for ESG Performance Prediction: ESG-RAG and SSA-iLSTM
The influence of training sets on generalization in feed-forward neural networks
A LLE-based approach to sensor fault detection
Deep Relationship Graph Reinforcement Learning for Multi-Aircraft Air Combat
HSimCSE: Improving Contrastive Learning of Unsupervised Sentence Representation with Adversarial Hard Positives and Dual Hard Negatives
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms
Self-organization by delta rule
Toward a model of the hippocampus
Comparing methods for generating diverse ensembles of artificial neural networks
Weight Perturbation and Competitive Hebbian Plasticity for Training Sparse Excitatory Neural Networks
Relevance feedback document retrieval using support vector machines
Self-Enforcing Networks (SEN) for the development of (medical) diagnosis systems
Knowledge-Guided Reinforcement Learning for Low-Resource Unsupervised Syllabification
An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants
Dual Boost-Driven Graph-Level Clustering Network
N-BEATS neural network structure for sub-critical boiler data-driven modelling
Stability and Performance Robustness Issues in Neural Network Feedback Linearization
Nonlinear controller optimization of a power system based on reduced multivariate polynomial model
A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning
Using the GTSOM network for mobile robot navigation with reinforcement learning
A Light-weight Deep Feature based Capsule Network
Attention-Capsule Network for Low-Light Image Recognition
Decoding the Mind of Large Language Models: A Quantitative Evaluation of Ideology and Biases
Human activity detection using spiking neural networks regulated by a gene regulatory network
Semi-supervised nearest neighbor editing
Capsule Deep Generative Model That Forms Parse Trees
PTRS: Parallax-Tolerant Robust Omnidirectional Deep Image Stitching
IDS alarms reduction using data mining
Variance Tolerance Factors For Interpreting All Neural Networks
Coddora: CO2-Based Occupancy Detection Model Trained via Domain Randomization
Analysis of Learning Process of Synaptic Weights in Spatio-temporal Learning Networks for Hardware Implementation
Selecting syntactic attributes for authorship attribution
Video Visual Relation Detection Based on Trajectory Fusion
Non-stationary data domain description using weighted support vector novelty detector
Speed control of a mobile robot using neural networks and fuzzy logic
Comparison of MLP cost functions to dodge mislabeled training data
Sparse Least squares support vector regression via Multiresponse Sparse Regression
Trans-SBLGCN: A Transfer Learning Model for Event Logic Knowledge Graph Construction of Fault Diagnosis
Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation
Inference of Genetic Networks using a Reduced NGnet Model
Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System
Margin maximization for robust classification using deep learning
On the capability of an SOM based intrusion detection system
An implementation of the path integrator mechanism of head direction cells for bio-mimetic navigation
Fine-Grained Visual Classification Method Based on Semantically Guided Key Region Localization
Kernelized Low-rank matrix recovery: Application in collaborative representation based classification
Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks
Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty
Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing
A dynamic approach to invariant extraction from time-varying inputs by using chaos in neural nets
Is There More to TSSG than Associative Chaining (Chunking and All That)?
Mitigating Semantic Drift: Evaluating LLMs' Efficacy in Psychotherapy through MI Dialogue Summarization Leveraging MITI Code
Density and Context Aware Network with Hierarchical Head for Traffic Scene Detection
Image restoration using chaotic simulated annealing
A fast large scale iris database classification with Optimum-Path Forest technique: A case study
Benchmarking the selection of the hidden-layer weights in extreme learning machines
Federated Learning for Physical Violence Detection in Videos
Progressive Dynamic Adaptive Learning: An Effective Semi-Supervised Method for Histopathological Image Segmentation
Localized Support Vector Machines for Classification
A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation
Distributed Machine Learning with Electric Vehicles in Parking Lots
Gated Sequential Recommendation with Dynamic Memory Network
Multimodal Video Moment Retrieval: A Survey
A least squares enhanced smart DFT technique for frequency estimation of unbalanced three-phase power systems
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Report Generation from X-Ray imaging by Retrieval-Augmented Generation and improved Image-Text Matching
Named Entity Recognition via Interlayer Attention Residual LSTM
A Determinantal Point Process Based Novel Sampling Method of Abstractive Text Summarization
Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities
GamMa: Efficient Fine-Tuning of Pre-Trained Language Models Using Gradient Activation Mapping Masking
FGNet: Feature Calibration and Guidance Refinement for Camouflaged Object Detection
Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification
Neural and fuzzy dynamic programming for under-actuated systems
An intelligent perturbative approach for the time series forecasting problem
Optimizing learning path selection through memetic algorithms
A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines
No-reference Image Quality Assessment Based on Multi-scale Convolutional Neural Network Assisted with Visual Saliency
Using recurrent networks for non-temporal classification tasks
SSA-UNet: Advanced Precipitation Nowcasting via Channel Shuffling
LpAdvGAN: Noise Optimization Based Adversarial Network Generation Adversarial Example
Accelerated training of support vector machines
Hierarchical HMMs for Autonomous Diagnostics and Prognostics
Explainable Classifier Supporting Decision-making for Breast Cancer Diagnosis from Histopathological Images
AI Intelligence for the Grid 16 Years Later: Progress, Challenges and Lessons for Other Sectors
LVC: Local Variance-based Clustering
Realistic and very fast simulation of individual electricity consumptions
Heterogeneous Reservoir Computing Models for Persian Speech Recognition
The Impact of Audio Input Representations on Neural Network based Music Transcription
Cortical dynamics of motion integration and segmentation
Heterogeneous Graph Interaction based Event Extraction with Attentional Position Embeddings
Robust Human Action Recognition Using Global Spatial-Temporal Attention for Human Skeleton Data
Just in time classifiers: Managing the slow drift case
Semi-Supervised Online Kernel Extreme Learning Machine for Multi-Label Data Stream Classification
Perception of noise in global illumination based on inductive learning
A linear constraint satisfaction approach to Bayesian networks
Multi-level Interaction Network for Multi-Modal Rumor Detection
Adaptive maneuver control of hypersonic re-entry flight via self-organizing recurrent functional link network
DNN Real-Time Collaborative Inference Acceleration with Mobile Edge Computing
Contrastive Learning for improving End-to-end Speaker Verification
A Hybrid Neural Approach to Speaker Verification with an Improved Additive Angular Margin Loss
LogTIW:A log anomaly detection model based on TF-IDF weighted semantic features
Progressive Neural Predictor with Score-Based Sampling
Temporal Convolutional Attention Neural Networks for Time Series Forecasting
An Episodic Learning based Geolocation Detection Framework for Imbalanced Data
Prediction of the CATS benchmark exploiting time-reversal symmetry
SURFGenerator: Generative Adversarial Network Modeling for Synthetic Flooding Video Generation
Image factorization and feature fusion for enhancing robot vision in human face recognition
Retrieval from Dynamic Phrases: Generating Radiograph Reports with Phrase-Level Template and Dynamic Memory Bank
An automatic calibration framework applied on a metaheuristic fuzzy model for the CIF competition