yusuke1997/dblp-id-title huggingface dataset:
Design and analysis of neural networks for systems optimization
Dimensionality Reduction in Multilabel Classification with Neural Networks
Building a Family of Neural Networks using Symmetry as a Foundation
Emerging evolutionary features in noise driven STDP networks?
Smart meter profiling for health applications
Enhancing source code summarization from structure and semantics
Light-weight Deep Extreme Multilabel Classification
Time Series Representation Learning with Supervised Contrastive Temporal Transformer
Deep Learning and Low-discrepancy Sampling for Surrogate Modeling with an Application to Urban Traffic Simulation
Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs
Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection
A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature
Advancing Social Governance through AI: A Large Language Model Approach to Government Response Analysis
FPGA Implementation of a Chaotic Boltzmann Machine Annealer
Imbalanced Label Enhancement Based on Variational Information Bottleneck
Local Cluster Neural Network On-chip Training
A tree regression algorithm based on incremental gradient boosting
Feature construction approach for email categorization based on term space partition
Hybrid model incorporating multiple scale dynamics for time series forecasting
Neural predictor ensemble for accurate forecasting of PM 10 pollution
Robust-CLIP: End-to-End Fine-Tuning of Vision-Language Models under Noisy Labels
Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing?
A bridge between two paradigms for parallelism: neural networks and general purpose MIMD computers
A Novel Sequential Learning Algorithm for RBF Networks and Its Application to Ship Predictive Control
Editing Audio-Driven Talking Head Based on Audio Information
Unsupervised Pre-training on Improving the Performance of Neural Network in Regression
A Bilevel Optimization Framework for Dynamically Correcting Imbalance in Two-class Classification Problems
On the Role of Reward Functions for Reinforcement Learning in the Traffic Assignment Problem
SESA-KAN: Simultaneous estimation of sex and age from dental panoramic radiographs
An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem
UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer
Construct adaptive template array for magnetic resonance images
RSTA: A Recurrent Scene Topic-Aware Model for Multi-Scene Endoscopic Report Generation
FedDADP: A Privacy-Risk-Adaptive Differential Privacy Protection Method for Federated Android Malware Classifier
A minimal architecture for general cognition
Taming the reservoir: Feedforward training for recurrent neural networks
A nonlinear model of fMRI BOLD signal including the trend component
Neural networks cartridges for data mining on time series
The Trouble with Weight-Dependent STDP
An output-based knowledge transfer approach and its application in bladder cancer prediction
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models
Finding association of impact factor for breast cancer patient- A novel statistical approach
Text-dependent speaker identification using neural network on distinctive Thai tone marks
Training convolutional networks of threshold neurons suited for low-power hardware implementation
On optimal wavelet bases for classification of skin lesion images through ensemble learning
Reward-based online learning in non-stationary environments: Adapting a P300-speller with a "backspace" key
MSFNet-CPD: Multi-Scale Cross-Modal Fusion Network for Crop Pest Detection
Self-organizing Neural adaptive tracking control of high speed trains subject to unexpected traction-breaking failures
AI-augmented Framework to Enable Process Awareness in Collaborative Teams
Stability conditions of the full KII model of excitatory and inhibitory neural populations
Reproduction of forward and backward propagations on dendrites by multi-compartment asynchronous cell automaton neuron
A New Facial Expression Recognition Technique using 2-D DCT and Neural Networks Based Decision Tree
Transformation Based Deep Anomaly Detection in Astronomical Images
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings
Sub-event detection from tweets
Teacher-free Distillation via Regularizing Intermediate Representation
Gaussian Versus Cauchy Membership Functions in Fuzzy PSO
The Generalizability of Explanations
On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses
Alleviating Semantic Drift in Multi-Hop Question Answering on Knowledge Graphs with Bidirectional Semantics
Estimating accurate multi-class probabilities with support vector machines
A genetic algorithm for automatic feature extraction in P300 detection
Design of analog subthreshold Encoded Neural Network circuit in sub-100nm CMOS
A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning
Non-preemptive multi-constrain scheduling for multiprocessor with hopfield neural network
Demand forecasting by the neural network with Fourier transform
Counterpropagation with delays for financial prediction
RPA-SCD: Rhythm and Pitch Aware Dual-Branch Network for Songs Conversion Detection
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
Constructing Constraint Force Field in Musculoskeletal Robot by Co-optimizing Muscle Arrangements and Constant Activations
Transformer-based Relation Detect Model for Aspect-based Sentiment Analysis
Social Transformer: A Pedestrian Trajectory Prediction Method based on Social Feature Processing Using Transformer
Multilabel Defect Classification of Large Concrete Structures Using Vision Graph Neural Network with Edge Convolution
Fixed-time stabilization for impulsive neural networks
Properties of an invariant set of weights of perceptrons
Ternary Change Detection in SAR Images Based on Bi-hierarchical SDAE and Bayesian Optimization
Linear regression for head pose analysis
Logit Demand Function with Embedded Neural Network Based Utility Function
A Comparison between Recursive Neural Networks and Graph Neural Networks
Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games
An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification
Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs)
FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders
Neural inverse optimal pinning control for synchronization of complex networks with nonidentical chaotic nodes
Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization
Speeding Up Affordance Learning for Tool Use, Using Proprioceptive and Kinesthetic Inputs
Blind source separation using time-delayed signals
Data-driven Approach for Optimising Resource Allocation of O-RAN Networks
Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces
IJCNN 1990, International Joint Conference on Neural Networks, San Diego, CA, USA, June 17-21, 1990
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Hypergraph-Encoder: A Dynamic Hypergraph-based Approach for Predicting Synergistic Effects in Multi-Drug Combinations
Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning
Multi-Sensors Data Tracking Fusion Based on a Neural Network Filter
Vertical and Horizontal Partitioning in Data Stream Regression Ensembles
Fusing bottom-up and top-down pathways in neural networks for visual object recognition
A novel algorithm for mining behavioral patterns from wireless sensor networks
Explainability of Technical Debt: An Analysis on the Role of Refactoring in Software Systems
Graph-based Visual Manipulation Relationship Reasoning in Object-Stacking Scenes
Efficient on-chip cross-subject local field potential decoding for implantable neural interfaces
L2E: Learning to Exploit Your Opponent
Solving Interactive Video Object Segmentation with Label-Propagating Neural Networks
A large-scale multi-pose 3D-RGB object database
Volume-preserving Neural Networks
MAGAT-HOS: A Multi-Attention Graph Neural Network for Fake Review Detection by Incorporating High-Order Semantic Information
Computation of proximity effect corrections in electron beam lithography by a neural network
Discrete-time decentralized neural block controller for a five DOF robot manipulator
AMDWA: An Adaptive Multi-Dimensional Weight Adjustment Method for Fake News Detection
Nonlinear principal predictor analysis using neural networks
A mixed-type self-organizing map with a dynamic structure
DepthCNE: Contrastive Neighbor Embedding in Self-Supervised Learning for Point Clouds
Chinese Event Temporal Relation Extraction on Multi-Dimensional Attention
Recurrent neural equalization for communication channels in impulsive noise environments
FML-Net: Enhancing Real-Time Defect Detection Network With Data Feature Memory Learning and Attention Asymmetric Large Kernel
Proposal for neural-network applications to fiber-optic transmission
Time series forecasting via weighted combination of trend and seasonality respectively with linearly declining increments and multiple sine functions
Exploring Linear Attention Alternative for Single Image Super-Resolution
SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference
Selective dynamic fuzzy neural system
Use of Self-Organizing Maps for texture feature selection in content-based image retrieval
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 5
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores
Multi-Modal Multi-Domain Fake News Detection Based on Global-Local Contrastive Learning
Improving RBF-DDA Performance on Optical Character Recognition through Weights Adjustment
Content-based Video Adaptation in Low/Variable Bandwidth Communication Networks Using Adaptable Neural Network Structures
Data-driven models to forecast PM10 concentration
Financial Prediction of Major Indices using Computational Efficient Artificial Neural Networks
Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding Space
Maximum likelihood estimation for direction of arrival using a nonlinear optimising neural network
Classificability-regulated self-organizing map using restricted RBF
Quaternionic Recurrent Correlation Neural Networks
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering
Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor
SkipConv: Skip Convolution for Computationally Efficient Deep CNNs
A Configurable Deep Network for high-dimensional clinical trial data
Simulation-based psychological training and assessment using large language models to improve mental health practitioner training: a narrative review
Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning
Oscillating networks: modeling the pyloric circuit of the stomatogastric ganglion
Target-aware for Few-shot Segmentation
Artificial Neural Networks as Modeling Tools in the Identification of Drugs Release Mechanisms from Hydrodynamically-Balanced Systems Formulated with Various Polymers
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers
Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration
Joint Multi-View Collaborative Clustering
A recurrent fuzzy-neural filter for real-time separation of lung sounds
Co-evolutionary particle swarm optimization applied to the 7×7 Seega game
Sequential and Dynamic constraint Contrastive Learning for Reinforcement Learning
Learning in Polynomial Cellular neural networks using quadratic programming
Theoretical confirmation of simple cell's receptive field of animal's visual systems and efficient navigation applications
A spiking network for spatial memory formation: Towards a fly-inspired ellipsoid body model
The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons
NeuroEvolutionary meta-optimization
Cascaded Encoder-Decoder Reconstruction Network with Gated Mechanism for Multimodal Emotion Recognition under Missing Modalities
Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks
Self-organization of hippocampal representations in large environments
Natural gas load forecasting with combination of adaptive neural networks
Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network
Avoiding overfitting caused by noise using a uniform training mode
An autonomous robot tracking system through fusing vision with sonar measurements
Applying neural fields to the stability problem of an inverted pendulum as a simple biped walking model
Uncertainty-guided boundary enhancement network for breast ultrasound image segmentation
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 1
Classifying Oscillatory Signatures of Expert vs NonExpert Meditators
EEG energy analysis for evaluating consciousness level using dynamic MEMD
Generative Adversarial Network for Radar Signal Synthesis
Analogies of brain function in neural network models
A distributed model of memory for the McGurk effect
Noise reduction of chaotic interspike intervals (ISI) of neurons
FBD: Fact-Based Debating for Fact Verification through Large Language Models
Development of an Artificial Neural Network by Genetic Algorithm to Mid-Term Load Forecasting
CANs: Coupled-Attention Networks for Sarcasm Detection on Social Media
Autonomous cognition and reinforcement learning for mobile robots
Information Theoretic-Learning auto-encoder
Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure
Deep learning approach to link weight prediction
Network Search for Binary Networks
KTCR: Improving Implicit Hate Detection with Knowledge Transfer driven Concept Refinement
Ensembling 3D CNN Framework for Video Recognition
Neuromorphic eye tracking: a survey
Hardening Deep Neural Networks via Adversarial Model Cascades
Higher Cognitive Abilities (Toward a Physical Theory of the Mind)
Primal space sparse kernel partial least squares regression for large scale problems
A Bidirectional Tree Tagging Scheme for Joint Medical Relation Extraction
The effects of distortion measures and feature sets on neural network classifiers
An artificial neural network for motion detection and speed estimation
Neural-Gas for Function Approximation: A Heuristic for Minimizing the Local Estimation Error
Focusing on diacritics to improve Vietnamese scene text detection
The CODAM model of attention and consciousness
Approximate maximum entropy joint feature inference for discrete space classification
Training Classifiers that are Universally Robust to All Label Noise Levels
Robust and integrative Bayesian neural networks for likelihood-free parameter inference
Penalty-based Sequence Generative Adversarial Networks with Enhanced Transformer for Text Generation
An adaptive dynamic programming based method for optimization of electricity consumption in office buildings
Blur identification in image processing
Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis
Single channel single trial P300 detection using extreme learning machine: Compared with BPNN and SVM
Learning Hierarchies from ICA Mixtures
Dimensionality reduction by rank preservation
Real-time discrete recurrent high order neural observer for induction motors
Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection
A novel vector quantizer for pattern classification tasks
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable HyperEdges
A comparison of first- and second-order training algorithms for dynamic neural networks
Presynaptic modulation as fast synaptic switching: state-dependent modulation of task performance
Clustering of the self-organizing map using particle swarm optimization and validity indices
A Rating Bias Formulation based on Fuzzy Set for Recommendation
Learning of sensorimotor behaviors by a SASE agent for vision-based navigation
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Illumination invariant lane color recognition by using road color reference & neural networks
Cellular neural networks and PCA neural networks based rotation/scale invariant texture classification
RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning
Fast Kernel-based method for anomaly detection
Online least-squares training for the underdetermined case
Neuromodulation in a learning robot: interactions between neural plasticity and behavior
The Built-In Robustness of Decentralized Federated Averaging to Bad Data
Learning Purified Feature Representations from Task-irrelevant Labels
Learning classifier systems for data mining: a comparison of XCS with other classifiers for the Forest Cover data set
Estimation of stochastic representation of via-points in human motion control by reinforcement learning
Learning Fluid Flows
Surface Anomaly Detection and Localization with Diffusion-based Reconstruction
Deep recurrent music writer: Memory-enhanced variational autoencoder-based musical score composition and an objective measure
Neural Network Control of Spark Ignition Engines with High EGR Levels
Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey
Multi-Hyperedge Hypergraph for Group Activity Recognition
A new saliency measure for inputs selection and node pruning in neural network
Learning in a recognition network: a synthesis of model-based and data-driven approaches
Proposal of Complex-Valued Region-Based-Coupling Segmentation Neural Networks and the Application to Radar Imaging Systems
Using diversity to handle concept drift in on-line learning
A fast multi-level co-location pattern mining approach based on extended maximal cliques
Generative Adversarial Network-assisted Graph Convolutional Network (GANA-GCN)
The Basic Diffusion Model Neuron Cannot Learn
EEG based gesture mimicking by an artificial limb using cascade-correlation learning architecture
Weighted numerical and categorical attribute clustering in data streams
MSMFNet: Multi-Modal Fusion Gesture Recognition Network with Multi-Scale Integration of AUS and sEMG
Solar Power Forecasting Based on Ensemble Learning Methods
Modeling Gene Transcriptional Regulation by Means of Hyperplanes Genetic Clustering
Fuzzy ART-Based Classification via Sparse Bayesian Learning
Optimal training parameters in multilayer feedforward networks
Integrating Torsion Features into Semantic Segmentation for Remote Sensing Images
Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography
Evaluating the Training Performance of Artificial Neural Network Using Small Time Series Segments of The Lorenz Chaotic System
Cognitive modeling of symbolic-like relationships with the adaptive neural network associator (ANNA)
Inequality Constraints in Regression Models to Symbolic Interval Variables
An advanced spike detection and sorting system
Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights - Electronic and Optical Implementations
Time topology for the self-organizing map
Employing Domain Specific Discriminative Information to Address Inherent Limitations of the LBP Descriptor in Face Recognition
A two-step convolutional neural network approach for semantic role labeling
Learning Fine-grained Location Embedding from Human Mobility with Graph Neural Networks
Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk
FedPTR: Enhancing Federated Prompt Learning with Server-Side Retraining for Non-IID Data
D2Defend: Dual-Domain based Defense against Adversarial Examples
A fast reservoir computing based image encryption algorithm
Weight Groupings in the Training of Recurrent Networks
Lotto-type competitive learning with particle swarm features
Unsupervised Approach for Knowledge-Graph Creation from Conversation: The Use of Intent Supervision for Slot Filling
Adapting Contrastive Learning with Feature Fusion for Complex Question Answering
Off-line signature verification using an auto-associator cascade-correlation architecture
Single-Domain Generalization Combining Geometric Context Toward Instance Segmentation of Track Components
Mixed analog/digital system for quadratic assignment problems
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-Net
TransGNN: A Transductive Graph Neural Network with Graph Dynamic Embedding
Improving Pedestrian Attribute Recognition with Multi-Scale Spatial Calibration
ASTD-ABC: Arbitrary Shape Text Detection with Adaptive Points and B-Spline Curves
Noise-robust hardware implementation of neural networks
ASD-ISSPA: Adaptive Stochastic Droppath and Interactive Slow Semi-Polarized Attention based on FPN for Object Detection
Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine
Comparative Analysis of Token Classification and Zero-Shot LLM Approaches for Named Entity Recognition in the Business Domain
Stock market prediction using neural networks: Does trading volume help in short-term prediction?
ADNet: A Neural Network for Accelerometer Signals Denoising
Incremental nearest neighborhood graph for data stream clustering
The Content-Based Image Retrieval using the Pulse Coupled Neural Network
NAM: What Does a Neural Network See?
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach
Unsupervised regenerative learning of hierarchical features in Spiking Deep Networks for object recognition
Nonlinear multi-model ensemble prediction using dynamic Neural Network with incremental learning
An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas
Global and Local Attention for Single Image Defocus Deblurring
Self-organizing trees for visualizing protein dataset
Interactive online learning for obstacle classification on a mobile robot
An Asymmetry Subsethood-Based Neural Fuzzy Network
Neurogenesis deep learning: Extending deep networks to accommodate new classes
Dynamic Spatio-Temporal Multi-Scale Representation for Bus Ridership Prediction
Detection of non-structural outliers for microarray experiments
Exploratory data analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series
Multi-Task Meta Learning: learn how to adapt to unseen tasks
Neural networks based minimal or reduced model representation for control of nonlinear MIMO systems
Designing Reliable Navigation Behaviors for Autonomous Agents in Partially Observable Grid-world Environments
Neural network initialization with prototypes - a case study in function approximation
LabelFool: A Trick In The Label Space
A Modular Neural Network for Global Modeling of Microwave Transistors
Model-free off-policy reinforcement learning in continuous environment
Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages
Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning
Q-SYM 2 and Automatic Scrap Classification a joint solution for the Circular economy and sustainability of Steel Manufacturing, to ensure the scrap yard operates competitively