yusuke1997/dblp-id-title huggingface dataset:
Looks Great, Functions Better: Physics Compliance Text-to-3D Shape Generation
A Local Structure-based Convolutional Neural Network and Its Application to Fault Diagnosis
Expectation Learning and Crossmodal Modulation with a Deep Adversarial Network
Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection
MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion
Computational analysis of the Bidirectional Activation-based Learning in autoencoder task
Biomorphic modeling of phoneme identification and classification based on an evolving fuzzy-neural network: From hardcomputing to softcomputing
A generalist-specialist paradigm for multilayer neural networks
A neural network-based prediction model of AR inhibitory activity from a sparse set of compounds
Design of a chaotic neural network by using chaotic nodes and NDRAM network
Interactive reinforcement learning through speech guidance in a domestic scenario
Multimodal Graph Learning and Sequential Modeling for Video Recommendation
A Modular Neural System for Machine Cognition
Temporal backpropagation for FIR neural networks
Autonomous reinforcement learning with hierarchical REPS
Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking
Holographic Three-Dimensional Movie Generation with Frame Interpolation Using Coherent Neural Networks
A Variable Memory Length Auto Encoder
Anomaly detection in aviation data using extreme learning machines
A Network Anomaly Detection Algorithm based on Natural Neighborhood Graph
A variational formulation for GTM through time
DIPF: Dual-Intervention Prompt Framework for Emotion Recognition in Conversation
A two step sorting algorithm
Self Organizing Maps and bit signature: A study applied on signal language recognition
Density transformation and parameter estimation from back propagation algorithm
3D Molecule Generation within Topology-aware Latent Space
ZF Model Efficiency for Automatic Hand Detection in Vehicles
Orthogonal PSO algorithm for solving ramp rate constraints and prohibited operating zones in smart grid applications
Functional Link Artificial Neural Network-based disease gene prediction
Neural network for seismic principal components analysis
Cascaded Hierarchical Context-Aware Vehicle Re-Identification
Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors
Self-supervised Contrastive Learning for EEG-based Sleep Staging
Enhancing house inspections: UAVs integrated with LLMs for efficient AI-powered surveillance
Optimal use of regularization and cross-validation in neural network modeling
Structural manifold analysis: A new method for dimensionality reduction based on a computational theory of human concept learning
Masked Multi-Query Slot Attention for Unsupervised Object Discovery
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU
Smart recognition and synthesis of emotional speech for embedded systems with natural user interfaces
Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI
Defining time in a minimal hippocampal CA3 model by matching time-span of associative synaptic modification and input pattern duration
Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting
The 'detailed balance' net: a stable asymmetric artificial neural system for unsupervised learning
Power ystem controller design: A comparison between breeder genetic algorithm and Population Based Incremental Learning
Segmentation of medical imagery with pulse-coupled neural networks
Solar radiation (insolation) forecasting using constructive neural networks
Fuzzy Neural Network with Relational Fuzzy Rules
A comparative study between motivated learning and reinforcement learning
Robust Facial Expression Recognition via Symmetry Exploitation and Adaptive Neighborhood Label Correction
Enhancing Semi-Supervised Medical Image Segmentation Through Unbiased Pseudo-Labeling and Student Diversity Maximization
Community Detection with Indirect Neighbors based on Granular Computing in Social Networks
Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals
Soccer robot identification using Kernel based weighted least squares
Efficient class incremental learning for multi-label classification of evolving data streams
Improved spam e-mail filtering based on committee machines and information theoretic feature extraction
An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy
High-Quality Pseudo-Label Generation Based on Visual Prompt Assisted Cloud Model Update
Selective negative correlation learning algorithm for incremental learning
Multi-Class Classification in Parkinson's Disease by Leveraging Internal Topological Structure of the Data and of the Label Space
Bayesian Training of Neural Networks Using Genetic Programming
A vigilance-free ART network with general geometry internal categories
Using piecewise polynomial activation functions and relevance attention for long-term time-series prediction
Machine learning techniques for explaining air pollution prediction
StyleLTC: Style-Infused Liquid Neural Network-Based Lightweight Architecture for Automated Claim Identification
Discriminant vector tranformations in neural network classifiers
Thermometer coding for multilayer perceptron learning on continuous mapping problems
Solving the binding problem with feature integration theory
Temporal-Aware Domain Adaptation for Noise Reduction in IMU-based Facial Perception
A spectral clustering approach for online and streaming applications
Clustering of symbolic data using the assignment-prototype algorithm
Reinforcement Mechanism Design for Electric Vehicle Demand Response in Microgrid Charging Stations
Extended Kalman filter using a kernel recursive least squares observer
On NSF "open questions, " some external properties of the brain as a learning system and an architecture for autonomous learning
Prior-Guided Feature Fusion Network for Driving Obstacle Detection in Foggy Weather
RBF-NN based fusion model for e-learning achievement evaluation
Realizing biological spiking network models in a configurable wafer-scale hardware system
An Image Captioning Approach Using Dynamical Attention
MoE-FTR: A Mixture of Experts Framework for Turbofan engines Remaining Useful Life estimation
Synaptic depression may explain many of the temporal response properties observed in primary auditory cortex: a computational investigation
Bounding the Worst-class Error: A Boosting Approach
Self-organization of shift-invariant receptive fields
Towards An Unsupervised Federated Hypernetwork Method for Distributed Anomaly Identification in Industrial IoT Environment
Prediction of rainfall rate based on weather radar measurements
Model reduction of neural network trees based on dimensionality reduction
GPS-ReID: A Benchmark for Cross-Modal Pedestrian Retrieval
Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing
Enhanced recurrent network training
Product reservoir computing: Time-series computation with multiplicative neurons
Pairwise learning of multilabel classifications with perceptrons
Online peak detection in photoplethysmogram signals using sequential learning algorithm
CLIP-Enhanced Linear Alignment for AI-Generated Image Detection Using Latent Cross-Attention
Abundant Computer and Robot Experiments Verifying Minimum Joint Motion Planning and Control of Redundant Arms via Zhang Neural Network
Atmospheric correction and oceanic constituents retrieval, with a neuro-variational method
Self-learning and neural network adaptation by embedded collaborative learning engine (eCLE) - An overview
On the automatic calibration of fully analogical spiking neuromorphic chips
Double Granularity Graph Network For Chinese Legal Question Answering
Enhancing Lightweight Remote Sensing Semantic Segmentation via Weak Consistency Regularization
Multi-Agent Combat in Non-Stationary Environments
Open-World Lifelong Graph Learning
Covert Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
Retrospective learning of spatial invariants during object classification by embodied autonomous neural agents
Step-Aware Confidence Estimation in Natural Language Reasoning
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement
A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class
Classification of LIBS protein spectra using support vector machines and adaptive local hyperplanes
Improving Diversity and Reducing Redundancy in Paragraph Captions
Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity
A Viewpoint-aware Channel Selection Method for Vehicle Re-identification
Hardware implementation of deep brain stimulator on a biophysical neural population model
Single layer potential function neural network for unsupervised learning
Neural Network-based Artifact Detection in Local Field Potentials Recorded from Chronically Implanted Neural Probes
Methods to Improve Multi-Step Time Series Prediction
Using Word2Vec Recommendation for Improved Purchase Prediction
Long-term Spatio-Temporal Forecasting using Spectral Graph Neural Networks
Locality Sensitive Batch Selection for Triplet Networks
A Neuromorphic Model of Learning Meaningful Sequences with Long-Term Memory
Assembling Modular, Hierarchical Cognitive Map Learners with Hyperdimensional Computing
Granger Causality Analysis based on Neural Networks Architectures for bivariate cases
Algorithmically universal model of structureless parallelism
Multi-Domain Dialogue State Tracking with Hierarchical Task Graph
A Hippocampus-Inspired Environment-Specific Knowledge Acquisition System Utilizing Common Knowledge with Contextual Information
Using confidence values in multi-label classification problems with semi-supervised learning
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling
Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots
From Orthography to Semantics: a Study of Morphological Processing through Deep Learning Neural Networks
A novel approach for fault diagnosis of steam turbine based on neural network and genetic algorithm
Regularized Maximum-Likelihood Estimation of Mixture-of-Experts for Regression and Clustering
Sub-domain intelligent modeling based on neural networks
Bayesian Signal Classifier
A kernel level composition of multiple local classifiers for nonlinear classification
A graph-based sparse filter feature selection method for multi-class and ordinal data
Hierarchical Extreme Learning Machine for unsupervised representation learning
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams
PicSOM: self-organizing maps for content-based image retrieval
Fusion of structure adaptive self-organizing maps using fuzzy integral
Comparison of self-organizing map with K-means hierarchical clustering for bioinformatics applications
Time Series Adaptation Network for Sensor-Based Cross Domain Human Activity Recognition
Investment Advisory Robotics 2.0: Leveraging Deep Neural Networks for Personalized Financial Guidance
Holograph contraction by oscillatory filtered learning for dynamic sub-pattern matching
Federated Deep Unfolding for Compressive Sensing
Learning a Belief Representation for Delayed Reinforcement Learning
Layer-wise Adversarial Training Approach to Improve Adversarial Robustness
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price
A neurobiological theory of meaning in perception
Deployment of head-related transfer function using all-pole filters and neural network-based storage devices
End-to-end speech recognition with Alignment RNN-Transducer
Neural network number systems
Using CNN to improve the performance of the Light-weight ViT
Experimental ANN-based modeling of an adjustable damper
Unsupervised feature selection for proportional data clustering via expectation propagation
Adaptive Local Hyperplane for regression tasks
"Find the Table": A Contrastive Learning-based Approach with Faster RCNN for Establishing Tabular Entity Relationships
A Cross-Modal Guiding and Fusion Method for Multi-Modal RSVP-based Image Retrieval
A half-split grid clustering algorithm by simulating cell division
Stylised Image Generation From Deep Neural Networks
Using Deep Learning to Recommend Discussion Threads to Users in an Online Forum
Viewpoint-robust Person Re-identification via Deep Residual Equivariant Mapping and Fine-grained Features
Attention Ensemble based Whole Heart and Great Vessel Segmentation for Surgical Planning of Total Anomalous Pulmonary Venous Connections
Integrating bi-directional contexts in a generative kernel for trees
Prediction and identification using recurrent wavelet-based cerebellar model articulation controller neural networks
Energy-Efficient Deep Neural Network Optimization via Pooling-Based Input Masking
RLCC: Practical Learning-based Congestion Control for the Internet
A comparative analysis of dissimilarity measures for clustering categorical data
Matrix Variate Restricted Boltzmann Machine
A Model of the Subthalamo-Pallidal Network Undergoing Extrinsic Stimulation
Multi-Column Deep Neural Networks for offline handwritten Chinese character classification
Selection of stable features for modeling 4-D affective space from EEG recording
PFC-TTA: Parameter-Free Classifier for Test Time Adaptation in Emotion Recognition
LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMs
Generating Adaptive Targeted Adversarial Examples for Content-Based Image Retrieval
Explicit representation of knowledge acquired from plant historical data using neural network
Video-based face recognition using ensemble of haar-like deep convolutional neural networks
Online map formation and path planning for mobile robot by associative memory with controllable attention
Optimal output synchronization of nonlinear multi-agent systems using approximate dynamic programming
Enhancing the storage capacity of binary associative memories
A filterbank-based representation for classification and matching of fingerprints
Traffic prediction using a Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK) fuzzy neural network
TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion
A Resource-aware Aadaptation Approach for Heterogeneous Federated Learning
DHP-Based Wide-Area Coordinating Control of a Power System with a Large Wind Farm and Multiple FACTS Devices
Estimation of functional brain connectivity from electrocorticograms using an artificial network model
Optimization for Deep Takagi-Sugeno-Kang Fuzzy Classifier By Self-Adaptive Hybrid Search Evolutionary Algorithm with Competitive Behavior
Neural network observer-based optimal control for unknown nonlinear systems with control constraints
A two-layer BiLSTM model with linear gating for Chinese named entity recognition
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
An Optimization based on Cyclic Check Network for the Process Simulation of Polyacrylonitrile
Pooling functions for extracting shift-invariant features in artificial feedforward neural networks
CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network
TinyReptile: TinyML with Federated Meta-Learning
A Low-Noise Web Content Extraction Framework for LLM Data Pipelines: Integrating XGBoost Classification and Reverse Coloring
Long-term prediction of time series using NNE-based projection and OP-ELM
Higher order neural networks for well log data inversion
Quantum gauged neural networks: learning and recalling
Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation
Anti-aircraft Missile Deployment Optimization Using Hopfield Neural Network
Some new results on the capabilities of integer weights neural networks in classification problems
Towards an Incremental SVM for Regression
Hybrid model analysis and validation for PV energy production forecasting
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
Temporal nonlinear dimensionality reduction
Cloud-Edge-End Collaborative Dependent Task Offloading Based on Meta Deep Reinforcement Learning
An intelligent through-the-wall recognition system for homeland security
Noise-Aware Network Embedding for Multiplex Network
A new recurrent-network-based music synthesis method for Chinese plucked-string instruments - Pipa and Qin
Modular neural networks for estimating odor concentrations
Pruning optimum-path forest ensembles using quaternion-based optimization
Parametric system identification using deep convolutional neural networks
A Two-Phase Genetic Local Search Algorithm for Feedforward Neural Network Training
Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks
Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation
On-line learning of sequence data based on Self-Organizing Incremental Neural Network
A fuzzy Kohonen's feature map neural network with application to group technology
Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN
Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses
Locally Linear Embedding algorithm based on OMP for incremental learning
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
Deep Reinforcement Learning Control of Hand-Eye Coordination with a Software Retina
TinyLog: Log Anomaly Detection with Lightweight Temporal Convolutional Network for Edge Device
Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation
A New Semantic Network Program Based on Combination of Case Knowledge and General Knowledge
Processing of Movement Information in the Early Stages of the Visual System
Further improvement of adaptive supervised learning decision (ASLD) network in stock market
pcIRM: Complex Ideal Ratio Masking for Speaker-Independent Monaural Source Separation with Utterance Permutation Invariant Training
Modular neural network integrator for human recognition from ear images
Identification of dynamical systems using GMM with VQ initialization
Feature Extraction Evaluation for Two Motor Imagery Recognition Based on Common Spatial Patterns, Time-Frequency Transformations and SVM
Edge focused super-resolution of thermal images
Multi-class active learning: A hybrid informative and representative criterion inspired approach
A probabilistic method for hierarchical 2D-3D tracking
Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods
Policy Optimization for Berth Allocation Problems
A Recurrent Neural Network for Solving Nonconvex Optimization Problems
Text-Guided Image-to-Image Translation for Tactile Map Generation
Transformer-based Poisoning Detection using Concept Drift Analysis
Large-Scale Few-Shot Classification with Semi-supervised Hierarchical k-Probabilistic PCAs
A neuromorphic hardware framework based on population coding
Learning Long-Term Time Series with Generative Topographic Mapping
Map building and localization on autonomous mobile robot using graph and fuzzy inference system
Autonomous Vehicle Localization via LiDAR-Based Classification of Dynamic and Static Tracks in Dynamic Environments
An enhanced UNet variant for Effective Lung Cancer Detection
Deep Neural Networks for Network Routing
A New Approach to Task Segmentation in Mobile Robots by mnSOM
Two-factor user authentication with the CogRAM weightless neural net
Improving Single and Multi-View Blockmodelling by Algebraic Simplification
Chaos and speech rhythm
Event Camera-Based Real-Time Gesture Recognition for Improved Robotic Guidance
Comparison of Three Methods for Short-Term Wind Power Forecasting
Multidimensional scaling based knowledge provision for new questions in community Question Answering systems
Systolic array implementations of neural nets on the MasPar MP-1 massively parallel processor
Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age
Domain Wall Motion-based XOR-like Activation Unit With A Programmable Threshold
Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection
On the performance of pairings of activation and loss functions in neural networks
VGQ-CNN: Moving Beyond Fixed Cameras and Top-Grasps for Grasp Quality Prediction
Low-power event-based face detection with asynchronous neuromorphic hardware
Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration
Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity
Modified Fuzzy-CMAC Networks with Clustering-based Structure
PSCFNet: Prototype Learning and Spatial Consistent Feature Fusion for Efficient Salient Object Detection
A Knowledge Representation Method for Multiple Pattern Embeddings Based on Entity-Relation Mapping Matrix
Applying REC Analysis to Ensembles of Particle Filters
Investigation into effectiveness of rough sets in prediction of enzyme and protein structure classes
Hidden Markov model finds behavioral patterns of users working with a headmouse driven writing tool
Concept-based Topic Attention for a Convolutional Sequence Document Summarization Model
Trading Off Perception with Internal State: Reinforcement Learning and Analysis of Q-Elman Networks in a Markovian Task
Towards Powerful Graph Contrastive Learning without Negative Examples
Design, fabrication and evaluation of a 5-inch wafer scale neural network LSI composed on 576 digital neurons
Collaborative Energy Management in Micro-Grid environments through multi-objective optimization
On automatic generation of VHDL code for self-organizing map
Phrase detection and the associative memory neural network
A neural network interface to the DIGITS Grasping System
STPSformer: Spatial-Temporal ProbSparse Transformer for Long-Term Traffic Flow Forecasting
Connectionist Modelling of Dynamics of Gene Expression and Reverse Engineering Gene Regulatory Networks
Probabilistic point set matching with Gaussian mixture model
Application of independent component analysis to handwritten Japanese character recognition
Effective Post-Training Quantization Of Neural Networks For Inference on Low Power Neural Accelerator
A parallel neural network simulator
Dynamic adaptation of user migration policies in distributed virtual environments
Using Multi-Layer Perceptrons to predict the presence of jellyfish of the genus Physalia at New Zealand beaches
An Approach to Heterogeneous Task Offloading in Resource-Constrained Intelligent Manufacturing Environment
Modularity adaptation in cooperative coevolution of feedforward neural networks
Exploiting monotonicity constraints to reduce label noise: An experimental evaluation
A novel gene network model based on nonlinear dynamics of asynchronous cellular automaton
An Embedded Tracking System with Neural Network Accelerator
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report
Lorentzian Graph Convolution Networks for Collaborative Filtering
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control
Advances in structural modeling robust to outliers in explanatory and response variables
A comparative study on forecasting polyester chips prices for 15 days, using different hybrid intelligent systems
Multi-objectivization of reinforcement learning problems by reward shaping
Lifting Wavelet Transform based Fast Watermarking of Video Summaries using Extreme Learning Machine
Multi-agent Knowledge Transfer in a Society of Interpretable Neural Network Minds for Dynamic Context Formation in Swarm Shepherding
Studies on the conditions of limit cycle oscillations in the K2 models of neural populations