yusuke1997/dblp-id-title huggingface dataset:
OntoHop: An information filtering agent using hopfield nets and ontologies
Spectral Core Entropy Based Graph Data Generation Algorithm
Organization of cell assemblies that code temporal sequences in a hippocampal CA3-CA1 model
Clustering joint Locality Preserving Projections
Linguistic Feature Injection for Efficient Natural Language Processing
Online incremental clustering with distance metric learning for high dimensional data
Attack Behavior Extraction Based on Heterogeneous Threat Intelligence Graphs and Data Augmentation
Improving Prediction Performances by Integrating Second Derivative in Microgrids Energy Load Forecasting
A Deep Fusion Model for Human $vs$. Machine-Generated Essay Classification
Please don't answer out of context: Personalized Dialogue Generation Fusing Persona and Context
Empowering convolutional networks for malware classification and analysis
RBF-based real-time hierarchical intrusion detection systems
Speaker Recognition Using Pulse Coupled Neural Networks
Online Detection and Classification of Disasters by a Multiple-input/single-output Sensor for a Home Security System
Connectivity of anatomical and functional MRI data
Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition
Multicriteria Model-Agnostic Counterfactual Explainability for Classifiers
Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition
Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism
An Edge Computing based Defect Detection Algorithm for Malleable Iron
Approximation of interval models by neural networks
Characterising information correlation in a stochastic Izhikevich neuron
Circle-Clustering: A new heuristic partitioning method for the clustering problem
Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting
The animal tests of chaotic signal therapy for epilepsy (CSTE)
Hybrid Visibility Graph and Long Short Term Memory for Schizophrenia Detection
Concept Factorization via Self-Representation and Adaptive Graph Structure Learning
Prediction Intervals With LSTM Networks Trained By Joint Supervision
Medical image segmentation with MARA
Improving Feature's Capability of Carrying Category-specific Information for Adversarial Domain Adaptation
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks
Joint Medical Ontology Representation Learning for Healthcare Predictions
Real time on-chip implementation of dynamical systems with spiking neurons
Apprenticeship Bootstrapping
A neural-network Q-learning method for decentralized sequential detection with feedback
On the Effect of the Stimulus on the Synchronization of Coupled Rose-Hindmarsh Neurons
Neural Network Modelin of Nearshore Sandbar Behavior
Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset
Pruning support vectors for imbalanced data classification
A new multidimensional penalized likelihood regression method
Context discerning multifunction networks: reformulating fixed weight neural networks
The Lockheed programmable analog neural network processor
Neural Network-based Actuator Fault Diagnosis for Attitude Control Subsystem of an Unmanned Space Vehicle
Learning with Partial Multi-Outlooks
Over-segmentation and Neural Binary Validation for cursive handwriting recognition
Population coding for a reward-modulated Hebbian learning of vergence control
Context based identification of user communities from Internet chat
Hierarchical clustering algorithm based on fusion rule of competitive neighborhood graph and genetic distance
Filtering Before Detection: Objects of Interest Enhanced Anomaly Detection for Surveillance
Efficient-YOLO: Optimization of Safety Equipment Identification Algorithm for Substation staff
Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems
Implicit Discriminator in Variational Autoencoder
On-Device Content Moderation
Drone-UP: Drone-based Unauthorized Parking Detection Method for Edge-devices
Early Failure Detection of Belt Conveyor Idlers by Means of Ultrasonic Sensing
Neural Blockmodeling for Multilayer Networks
A new bidirectional associative memory based on distributed representation
Connection-Based Knowledge Transfer for Class Incremental Learning
Local adaptive receptive field dimension selective self-organizing map for multi-view clustering
Guided fuzzy clustering with multi-prototypes
Semantic representation in text classification using topic signature mapping
Acceptance and Perception of Covid-19 Vaccination for Children
Clustering using Renyi's entropy
An optimal entropy estimator for discrete random variables
Visualisation of network forensics traffic data with a self-organising map for qualitative features
Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity
Hybrid neurofuzzy computing with nullneurons
SMIL-DeiT: Multiple Instance Learning and Self-supervised Vision Transformer network for Early Alzheimer's disease classification
CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters
GENet: Guidance Enhancement Network for 3D Shape Recognition
On stability and tuning of neural oscillators: application to rhythmic control of a humanoid robot
Development of Fast Incremental Slow Feature Analysis (F-IncSFA)
Simultaneous neuromorphic selection of multiple salient objects for event vision
Unsupervised curve-based clustering
BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation
Intranet User-Level Security Traffic Management with Deep Reinforcement Learning
Superpixel appearance and motion descriptors for action recognition
A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization
Modeling the three neuron vestibulo-ocular reflex arc: contribution to eye movement computation
Self-enhanced relevant component analysis with side-information and unlabeled data
Topic Model on Microblog with Dual-Streams Graph Convolution Networks
ERC DMSP: Emotion Recognition in Conversation Based on Dynamic Modeling of Speaker Personalities
Issues in designing automated minimal resource allocation neural networks
The simultaneous coding of heading and path in primate MSTd
T2CV-Zero: Zero-shot Character Video Generation Via Text-to-Motion Model
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
Fruit classification using deep feature maps in the presence of deceptive similar classes
Rule extraction from Boolean artificial neural networks
Aspect-based Opinion Summarization with Convolutional Neural Networks
Energy feature extraction of EEG signals and a case study
Multi-Scopic Simulation for People Flow Feature Extraction Based on Topological Mapping
Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values
A fuzzy associative memory based on Kosko's subsethood measure
A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence
False Negative Masking for Debiasing in Contrastive Learning
Neural-Network-Based Photometric Stereo for 3D Surface Reconstruction
G&L: An Attention-based Model for Improving Prefetching in Solid-state Drives
Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities
Hand-Object Interaction Detection based on Visual Attention for Independent Rehabilitation Support
Adaptive higher-order feedforward neural networks
Sub-Hourly Load Forecasting for Community-Level Flexible Appliance Management
Streamflow forecasting with uncertainty estimate using Bayesian learning for ANN
Optimal gradient-based learning using importance weights
OSAgent: Copiloting Operating System with LLM-based Agent
Octonion-valued bidirectional associative memories
Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems
A Neuroinformatics Platform for Vision Science: Visiome
Experimental results on neural network-based control strategies for flexible-link manipulators
Boosted GAN with Semantically Interpretable Information for Image Inpainting
Efficient training of large neural networks for language modeling
SeMo-YOLO: A Multiscale Object Detection Network in Satellite Remote Sensing Images
A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network
GETnet: a general framework for evolutionary temporal neural networks
CPCA: a multiplierless neural PCA
Measuring Drift Severity by Tree Structure Classifiers
Probabilistic matrix factorization from quantized measurements
On performance of meta-learning templates on different datasets
A random walk in Hamming space
It's about time! Modeling customer behaviors as the secretary problem in daily deal websites
Unsupervised learning of visual representations using delay-weight spike-timing-dependent plasticity
Decentralized adaptive neural network sliding mode control for reconfigurable manipulators with data-based modeling
Japanese Neuroinformatics Project in Vision and RIKEN Brain Science Institute
Online Training of a Generalized Neuron with Particle Swarm Optimization
Localized sampling for hospital re-admission prediction with imbalanced sample distributions
A Hierarchical Neural Model in Short-Term Load Forecasting
AX-DBN: An Approximate Computing Framework for the Design of Low-Power Discriminative Deep Belief Networks
A Neuromodulatory Neural Networks Model for Environmental Cognition and Motor Adaptation
Prediction of residual power peaks in industrial microgrids using artificial neural networks
Multigrid-based fuzzy systems for time series prediction: CATS competition
Estimating the effective dimension of large biological datasets using Fisher separability analysis
A New Rule Generation Method from Neural Networks Formed Using a Genetic Algorithm with Virus Infection
AMD: Adaptive Masked Distillation for Object Detection
On the method for data streams aggregation to predict shoppers loyalty
Knowledge Representation and Possible Worlds for Neural Networks
Gain confidence of a neural network used for model based control
Reinforcement learning using associative memory networks
Position Paper: Beyond Calibration - Leveraging Controlled Self-Deception for Robust Neural Network Learning
HTR-FSRNet: Hierarchical Texture Reconstruction for Face Super-Resolution with Facial Prior
3DA-NTC: 3D Channel Attention Aided Neural Tensor Completion for Crowdsensing Data Inference
SVM learning with fixed-point math
Predicting final extent of ischemic infarction using an artificial neural network analysis of multiparametric MRI in patients with stroke
How SAM helps Unsupervised Video Object Segmentation?
Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing
Incremental Active Learning with Bias Reduction
A Comparative Study of Time and Frequency Domain Approaches to Deep Learning based Speech Enhancement
Stock Selection via Expand-excite Conv Attention Autoencoder and Layer Sparse Attention Transformer: A Classification Approach Inspire Time Series Sequence Recognition
A computationally efficient complete area coverage algorithm for intelligent mobile robot navigation
A density based membership function for fuzzy clustering
An Approach Using BRKGA for Optimizing Convolutional Neural Network Architectures
Learning Defendant-aware Label Representation for Multi-Defendant Charge Prediction
Hybrid particle swarm optimization based normalized radial basis function neural network for hypoglycemia detection
Neuromemristive Multi-Layer Random Projection Network with On-Device Learning
Confidence-guided Source Label Refinement and Class-aware Pseudo-Label Thresholding for Domain-Adaptive Semantic Segmentation
Hierarchical Reinforcement Learning Model for Military Simulations
On the decision boundaries of hyperbolic neurons
A Connectionist Approach for Evaluating the Complexity of Interaction in the World Wide Web: The Case of News Groups
Neural-Network-based Programmable State Feedback Controller for Induction Motor Drive
An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors
Using SOM to estimate optical inherent properties from remote sensing reflectance
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening
Time series modelling with recurrent CBP
NASABN: A Neural Architecture Search Framework for Attention-Based Networks
Hierarchical Recurrent Attention Networks for Context-Aware Education Chatbots
A batch self-organizing maps algorithm based on adaptive distances
Enhancing Multivariate Time Series Classification Using LSTM and Evidence Feed Forward HMM
Coarse-to-Fine Object Tracking Using a Shape Representation Network with Continuous Parameters Determining Shape Details
USET : A network based on Utterance hidden State transfEr for Task-oriented dialogue
Hopfield networks: from optimization to adaptive control
New results on exponential periodicity of delayed neural networks
ARS-Net:3D Multimodal Feature Recalibration Fusion Network for Brain Tumor Image Segmentation
MonoAttack: A Strong Attack Framework with Depth-Migration and Attribute-Tampering for Monocular 3D Object Detection
Evolution Strategies Enhanced Complex Multiagent Coordination
Deep Capsule Network based Automatic Batch Code Identification Pipeline for a Real-life Industrial Application
EMNIST: Extending MNIST to handwritten letters
Improved Word Sense Disambiguation via Prompt-based Contextual Word Representation
MS-MoE: Multi-modal Structural Mixture of Experts Framework for Pan-Sharpening
Siamese Guided Anchoring Network for Visual Tracking
Optimization of Hierarchical Neural Fuzzy Models
Diffusion least-mean squares over adaptive networks with dynamic topologies
Air robot path planning based on Intelligent Water Drops optimization
Collaborative Multi-Task Representation for Natural Language Understanding
DRL-MR: Multipath Routing Based on Multi-Agent Deep Reinforcement Learning for SDN-Based Data Center Networks
Extending kernel principal component analysis to general underlying loss functions
NAS-SW: Efficient Neural Architecture Search with Stage-Wise Search Strategy
Binary codes for tagging x-ray images via deep de-noising autoencoders
PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals
How many neighbors to consider in pattern pre-selection for support vector classifiers?
Families of orthonormalization algorithms
Kolmogorov complexity vector: A novel data representation
Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm
A Fully CMOS Low-Cost Chaotic Neural Network
FxpNet: Training a deep convolutional neural network in fixed-point representation
A neural network classifier for notch filter classification of sound-source elevation in a mobile robot
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features
Evolutionary Algorithms for Enhanced Public Health Mapping
EXPLAN: Explaining Black-box Classifiers using Adaptive Neighborhood Generation
A Novel Neural Architecture with High Storage Capacity
A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis
Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction
A neural network model of personality
Adaptive self-constructing radial-basis-function neural control for MIMO uncertain nonlinear systems with unknown disturbances
Pixel-wise Rain Error Distillation Framework for Robust Sparse Matching in Rainy Scene
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks
Wavelet networks: an alternative to classical neural networks
Adaptive parameter robust estimation
Multi sensor data fusion within hierarchical neural networks
Incorporating message embedding into co-factor matrix factorization for retweeting prediction
Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings
Coordination of Two Redundant Robots Using a Dual Neural Network
Long-term Spatio-temporal Contrastive Learning framework for Skeleton Action Recognition
A Robust Multimodal Model with Context-Rich Prompts for Traffic Light State Detection
Modality Modulation with Adaptive Fusion for Multimodal Sentiment Analysis
Big-data-generated traffic flow prediction using deep learning and dempster-shafer theory
Incremental learning in nonstationary environments with controlled forgetting
An Adaptive Hoeffding Tree Model Based on Differential Entropy and Relative Entropy for Concept Drift Detection
The Generalized Group Lasso
A Computational Model for Latent Learning based on Hippocampal Replay
Metric Learning based Framework for Streaming Classification with Concept Evolution
Harnessing Adversarial Distances to Discover High-Confidence Errors
Autonomous Anti - interference Identification of $\text{IoT}$ Device Traffic based on Convolutional Neural Network
Temporally coupled Principal Component Analysis: A Probabilistic autoregression method
A data partitioning approach to speed up the fuzzy ARTMAP algorithm using the Hilbert space-filling curve
Multiple distribution data description learning method for novelty detection
ByteGT: A Hybrid Sequential-Attention Network for Enhancing File Fragment Classification on Raw Data
Local and hybrid learning models in forecasting natural phenomena
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network
Fusion Strategies for Learning User Embeddings with Neural Networks
Multi-Scale Cascaded Generator for Music-driven Dance Synthesis
A new unsupervised approach to fault detection and identification
Splitted neural networks for better performance of antenna optimization
Sub auditory speech recognition based on EMG signals
Self-Organizing Map with Refractoriness and Its Application to Image Retrieval
Cross-Modal Neuromorphic Semantic Segmentation based on Knowledge Distillation
Cyclone Track Prediction with Matrix Neural Networks
Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network
Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model
Zero-Shot Source Code Author Identification: A Lexicon and Layout Independent Approach
A word distributed representation based framework for large-scale short text classification
Automatic Cluster Labeling Based on Phylogram Analysis
A Novel Multi-Directional and Multi-Scenario Radar-Based Human Activity Recognition System
Few-Shot Class-Incremental Learning with Class Centers and Contrastive Learning for Incremental Vehicle Recognition
PROCANS: a protein classification system using a neural network
Relation between kernel CCA and kernel FDA
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base
Chinese Sentence-level Event Factuality Identification with Recursive Neural Network
Action Reinforcement and Indication Module for Single-frame Temporal Action Localization
Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework
Interpretable Binaural Ratio for Visually Guided Binaural Audio Generation
An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction
Conventional Augmentation is More Effective than ImageGPT and GANs? A Comparison of Synthetic Data Evaluation Methods
Non-Intrusive Load Monitoring Missing Data Recovery via Nonlinear PID-Incorporated Latent Factorization of Tensors
Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
A Decidability-Based Loss Function
Simultaneous learning of the structure and kinematic model of an articulated body from point clouds
A Model-free Approach to Stroke Learning for Robotic Table Tennis
The Meaningful Fractal Fuzzy Dimension applied to the design of self organizing maps
Local Interpretable Explanations for GBDT
An HMM-based gait comparison: Using Alzheimer's disease patients as examples
Cross-Modal Motor Representation Learning
Neural forecasting of the day-ahead hourly power curve of a photovoltaic plant
DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform
Theoretical motion functions for video analysis, with a passive navigation example
Adversarial Example Defense Based on the Supervision
Noise tolerant ternary weight deep neural networks for analog in-memory inference
Advanced intelligent acoustic interfaces for multichannel audio reproduction
Deep Clustering using Dirichlet Process Gaussian Mixture
Multidomain CT Metal Artifacts Reduction Using Partial Convolution Based Inpainting
Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer
Non-divergent Imitation for Verification of Complex Learned Controllers
A constructive enhancement for Online Sequential Extreme Learning Machine
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Improved CBP learning with output bias decomposition
Feature Interactive Convolutional Network with Structure-Aware Information for Knowledge Graph Embedding
Comparison of Text-Dependent Speaker Identification Methods for Short Distance Telephone Lines Using Artificial Neural Networks
Learning using Dynamical Regime Identification and Synchronization
Chaotic dynamics in quasi-layered recurrent neural network model and application to complex control via simple rule
A constrained recursive least squares algorithm for adaptive combination of multiple models
Exploration of relations between many-body field theory and the nonlinear brain dynamics that underlies cognitive behavior
Bifurcating Pulsed Neural Networks, Chaotic Neural Networks and Parametric Recursions: Conciliating Different Frameworks in Neuro-Like Computing
A Recursive Algorithm for Fuzzy Min-Max Networks
Multi-scale pyramidal pooling network for generic steel defect classification
Linear Subspace Learning via sparse dimension reduction
A Relation-Guided Attention Mechanism for Relational Triple Extraction
Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering
Fast Blue-Noise Generation via Unsupervised Learning
Heterogeneous-graph Attention Reinforcement Learning for Football Matches
A Bidirectional Hierarchical Skip-Gram model for text topic embedding
Pcwin Transformer: Permuted Channel Window based Attention for Image Classification
PointCMT: An MLP-Transformer Network for Contrastive Learning of Point Representation
An event-driven mixed analog/digital spiking neural network circuit model for hippocampal spatiotemporal context learning and memory
Unlocking Chain of Thought in Base Language Models by Heuristic Instruction
Radial basis function network for well log data inversion
About pyramid structure in convolutional neural networks
Multi-step-ahead prediction using dynamic recurrent neural networks
Credit default swap pricing using artificial neural networks
Properties of taking-decision function in psychophysical tests
Collaborative Multi-key Learning with an Anonymization Dataset for a Recommender System
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
Addressing scaling and plasticity problems with a biologically motivated self-organizing network
An integrated approach to segment mobile commerce market on the train
Gradient-Aware Participation for Energy Reduction in Federated Learning with Extreme Label Skew
Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Large Language Models
Learning deterministic spiking neuron feedback controllers
Position Paper: From Data Thirst to Aesthetic Hunger: The Pivotal Role of Artistic Exploration in Machine/AI Creativity
Hear ALL Parties: Detecting Implicit Hate Speech using Contrastive In-context Learning
Learn to Encode Heterogeneous Data: A Heterogeneous Aware Network for Multi-Future Trajectory Prediction
A Programmable Neural-Fuzzy Processor for Handwritten Digit Classification
Multi-Task Deep Neural Networks for Multi-Document Reading Comprehension