yusuke1997/dblp-id-title huggingface dataset:
Qualitative approach for inverse kinematic modeling of a Compact Bionic Handling Assistant trunk
Adaptive blocked Gibbs sampling for inference in probabilistic graphical models
Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning
EthGAN: Improving Ethereum Account Classification Accuracy via Data Augmentation
Remaining Useful Life Estimation of Hard Disk Drives based on Deep Neural Networks
A numerical exploration of a stochastic model of human list learning
Residential energy system control and management using adaptive dynamic programming
Chaotic Time Series Prediction in Biological Neural Network Reservoirs on Microelectrode Arrays
Neural systems for solving the inverse problem of recovering the primary signal waveform in potential transformers
Bio-inspired orientation analysis for seismic image
Integration of a neural ore grade estimation tool in a 3D resource modeling package
Topic Modeling of Mpox-related Instagram Posts: Understanding Public Perception over Time
Pulse-Coupled Networks of Non-Autonomous Integrate-and-Fire Oscillators and Classification Functions
Online Trajectory Anomaly Detection Based on Intention Orientation
DiffWR: Diffusion for Watermark Removal
Optimising the Hystereses of a Two Context Layer RNN for Text Classification
AC2: A Policy Gradient Actor with Primary and Secondary Critics
Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network
Universum least squares twin parametric-margin support vector machine
Hybrid Pooling Networks for Few-shot Learning
Feature extraction using surrounding-line integral bispectrum for radar emitter signal
Identifying Mislabeled Instances in Classification Datasets
Interactive Capsule Networks with a Novel Dynamic Routing Mechanism for Implicit Discourse Relation Recognition
Object-aided Generative Adversarial Networks for Remote Sensing Image Generation
A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion
HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction
Guessing the Code: Learning Encoding Mappings Using the Back Propagation Algorithm
Lag selection for time series forecasting using Particle Swarm Optimization
UGCE: User-Guided Incremental Counterfactual Exploration
A neural-network-based controller for a single-link flexible manipulator: Comparison of FFNN and DRNN controllers
Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors
PEDA 376K: A Novel Dataset for Deep-Learning Based Porn-Detectors
Decision boundary modelling-a constructive algorithm for high precision real world data models
A computational intelligence technique for the identification of non-linear non-stationary systems
Robot visual homing using conjugate gradient Temporal Difference learning, radial basis features and a whole image measure
A System for Aiding Diagnosis of Alzheimer's Disease and Related Disorders with an Adaptable Decision Model
LNPT: Label-free Network Pruning and Training
Transformer with Local-feature Extractor for Relation Extraction
A KNN-SVM hybrid model for cursive handwriting recognition
Cross-coupled Hopfield nets via generalized-delta-rule-based internetworks
Ask It Right! Identifying Low-Quality questions on Community Question Answering Services
Artificial immune system for attribute weighted Naive Bayes classification
Temporal semantics: An extended definition for neural morphisms
High speed cellular array computer realizations for low power applications
QSpeech: Low-Qubit Quantum Speech Application Toolkit
Joint Few-Shot Text Classification Aided by Label Semantic and Sentence-Aware Interaction
Fast convergence of extended Rademacher Complexity bounds
Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN
A novel strategy for the structure-based drug design of heat shock protein 90 inhibitors
Role of presynaptic reuptake on dopamine modulation of cortico-striatal activity in TD learning
Spatial-Temporal Dynamic Graph Convolution Neural Network for Air Quality Prediction
Efficient computation of the Levenberg-Marquardt algorithm for feedforward networks with linear outputs
Noise induced phenomena in jump diffusion models for single neuron spike activity
Lightweight Crypto-Assisted Distributed Differential Privacy for Privacy-Preserving Distributed Learning
Exploring Standard Self-Organizing Map Internal Structure in the Learning
An AI-Driven Bionic Whisker System Assisting for Clinical Gastrointestinal Disease Screening
BRec the Bank: Context-aware Self-attentive Encoder for Banking Products Recommendation
Bimodal Projection-based Features for Pattern Classification
Knowledge Adaptive Neural Network for Natural Language Inference
Artificial neural network implementation using many-valued quantum computing
Learning to Segment Any Random Vector
EEG-based communication via dynamic neural network models
Transfer Learning in Smart Home Scenario
Faithful feature extraction by greedy network-growing algorithm
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture
GPSAttack: A Unified Glyphs, Phonetics and Semantics Multi-Modal Attack against Chinese Text Classification Models
Intelligent algorithm for forecasting of optimum neurons quantity in perceptron with one hidden layer
FACS-GCN: Fairness-Aware Cost-Sensitive Boosting of Graph Convolutional Networks
Feature selection in text categorization using the Baldwin effect
Analysis of Motor Imagery EEG Signals Based on Multi-Modal Spatio-Temporal Contrastive Learning
Invariant feature representation by sparse vectors using adaptive subspace self-organizing map
Explaining Supervisor Set for Machine Learning Methods
Inverted Transformers Interpretability Beyond Attention Visualization
Application of Spiking Neural Networks for Action Recognition from Radar Data
A neural classifier to evaluate the role of image resolution in the perception of color differences
Decoding Speech Evoked Jaw Motion from Non-invasive Neuromagnetic Oscillations
Comparative Study on Quantization-Aware Training of Memristor Crossbars for Reducing Inference Power of Neural Networks at The Edge
Detecting and labeling representative nodes for network-based semi-supervised learning
Performance Evaluation of Two Distributed BackPropagation Implementations
Information theory principles for the design of self-organizing maps in combination with hidden Markov modeling for continuous speech recognition
Chunks of thought: Finding salient semantic structures in texts
Importance Reweighting for Biquality Learning
Bayesian ying-yang supervised learning, modular models, and three layer nets
Improved Learning of Multiple Continuous Trajectories with Initial Network State
Video anomaly detection based on ULGP-OF descriptor and one-class ELM
Generation of Oscillatory Trajectories with Specified Stability Degree Using Recurrent Neural Networks
Assistance of knee movements using an actuated orthosis through subject's intention based on MLPNN approximators
A new discriminant analysis based on boundary/non-boundary pattern separation
Joint Optimisation of Electric Vehicle Routing and Scheduling: A Deep Learning-Driven Approach for Dynamic Fleet Sizes
Exploring and optimizing dynamic neural fields parameters using Genetic Algorithms
Structure-from-Motion reconstruction based on weighted Hamming descriptors
Building blocks for spikes signals processing
A memetic framework for cooperative coevolution of recurrent neural networks
Venn-like models of neo-cortex patches
Relational reinforcement learning applied to shared attention
Accurate initialization of neural network weights by backpropagation of the desired response
Enhancing Computational Design by integrating Visual Programming Language with Natural Language Processing Models
A Robust Method with DropBlock for Face Anti-Spoofing
Cellular neural network based situational awareness system for power grids
Information-theoretic Source Code Vulnerability Highlighting
A Hybrid system with what-where-memory for multi-object recognition
Continuous time delay neural networks for detection of temporal patterns in signals
A neural network that learns to integrate oculomotor signals
A new indirect encoding method with variable length gene code to optimize neural network structures
DFM-Net: A Lightweight Network for Remote Sensing Image Detection
The impact of Sensing Parameters on Vibration Anomaly Detection Using Tiny DNNs
Stepwise Acquisition of Dialogue Act Through Human-Robot Interaction
Finding a succinct multi-layer perceptron having shared weights
Processing point cloud sequences with Growing Neural Gas
A dynamic neural network method for time series prediction using the KIII model
Two-stage Unsupervised Multiple Kernel Extreme Learning Machine
Time series prediction with ensemble models
Extract Generalization Ability from Convolutional Neural Networks
Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints
Fisher kernel for tree structured data
PMSQA: Pre-Training Based Multi-Scale Non-Intrusive Speech Quality Assessment
Systematic Evaluation and Enhancement of Speech Recognition in Operational Medical Environments
Evaluation of optical flow field features for the detection of word prominence in a human-machine interaction scenario
Continuous Attention Mechanism Based SFC Placement in NFV-enabled Mobile Edge Cloud for IoT Applications
Semi-Supervised Clustering for Vigilance Analysis Based on EEG
Multimodal Traffic Travel Time Prediction
Music-driven Character Dance Video Generation based on Pre-trained Diffusion Model
Using Meta-Features to Boost the Performance of Classifier Fusion Schemes for Time Series Data
Lightweight Gaze Estimation Model Via Fusion Global Information
Visual data completion via local sensitive low rank tensor learning
Recognition of sintering state in rotary kiln using a robust extreme learning machine
CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing
A novel image retrieval system based on BP neural network
An evolutionary optimization framework for neural networks and neuromorphic architectures
Unsupervised and transfer learning challenge
Recurrent Neural Network-based Base Transceiver Station Power Supply System Failure Prediction
Motion Based Image Deblur Using Recurrent Neural Network for Power Transmission Line Inspection Robot
Nonlinear time series prediction weighted by marginal likelihoods: a hierarchical Bayesian approach
Interactive categorization of living space based on simultaneous localization and mapping
SynC: A Dense Retrieval Method based on Syntactical Contrastive Learning
A Simple Reservoir Model of Working Memory with Real Values
Transfer learning of shared latent spaces between robots with similar kinematic structure
A Two-stage Vehicle Type Recognition Method
DANCe: Dynamic Adaptive Neuron Coverage for Fuzzing Deep Neural Networks
Rough set-based neuro-fuzzy system
LATTE: Low-power Audio Transform with TrueNorth Ecosystem
Rolling element bearing diagnosis using convex hull
A Supervised Constructive Neuro-Immune Network for Pattern Classification
Knowing what and where: a computational model for visual attention
Effective and Interpretable Information Aggregation with Capacity Networks
Spiking Approximations of the MaxPooling Operation in Deep SNNs
A turbo codes optimization method using particle swarm algorithm
Decision Focused Forecasting for Smart Grid Energy Management Systems
Transformer-based Contrastive Learning for Unsupervised Person Re-Identification
A Quality Control Method for Ocean Data Based on Multi-time Scale Downsampling and Dynamic Threshold Strategy
Bayesian tensor analysis
Parallel self-organizing maps with application in clustering distributed data
Botnet Detection in the Internet of Things using Deep Learning Approaches
Evolution of recollection and prediction in neural networks
Adaptive Learning Models Evaluation in Twitter's Timelines
A neural model of mentalization/mindfulness based psychotherapy
STDP-based unsupervised learning of memristive spiking neural network by Morris-Lecar model
Learning nonlinear functions with MLPs and SRNs
OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data
On generalization of multilayer neural network applied to predicting protein secondary structure
An Exposure-Aware Self-Attention Method for Enhanced Self-Supervised All-Day Depth Estimation
Inexact Graph Representation Learning
Advancing Pandemic Preparedness through a Data-Driven Hybrid Simulation Model
Comparing the Robustness of Classical and Deep Learning Techniques for Text Classification
Improving Session-Based Recommendation Adopting Linear Regression-Based Re-ranking
Symbolic rule extraction with a scaled conjugate gradient version of CLARION
Feature selection based on sparse imputation
Improved Learning from Small Data Sets Through Effective Combination of Machine Learning Tools with VSG Techniques
On the structure of algorithm spaces
Data classification via centrality measures of complex networks
Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park
Population-based routing in the SpiNNaker neuromorphic architecture
Soft and Hard Filter Pruning via Dimension Reduction
Direction-selective mechanisms for vision: analytical models
Survival analysis and neural networks
Combinatorial U-Curve Optimization for Multi-Task Learning: A Task Selection Approach
Artificial neural network performance degradation under network damage: Stuck-at faults
Delta Activation Layer exploits temporal sparsity for efficient embedded video processing
Discrete time recurrent neural network observer
Stochastic resonance induced continuous activation functions in a neural network consisting of threshold elements
Time series forecasting through Polynomial Artificial Neural Networks and Genetic Programming
Modelling of a retinal ganglion cell with simple spiking models
ICE-GAN: Identity-Aware and Capsule-Enhanced GAN with Graph-Based Reasoning for Micro-Expression Recognition and Synthesis
Distributed variance regularized Multitask Learning
Significance of neural phonotactic models for large-scale spoken language identification
DfuseNAS: A Diffusion-Based Neural Architecture Search
Fast k-means with Stable Instance Sets
Using Accuracy and Diversity to Select Classifiers to Build Ensembles
Topic Modeling using Variational Auto-Encoders with Gumbel-Softmax and Logistic-Normal Mixture Distributions
Neural network decoding of turbo codes
GViSOM for Multivariate Mixed Data Projection and Structure Visualization
Testing the Augmented Binary Multiclass SVM on Microarray Data
An Improved Generative Adversarial Networks-Based Oversampling Method for Imbalanced Data Classification
Fuzzy speech recognition
HARFT: Role and Function-Based Cooperation Approach for Heterogeneous Multi-Agent
Approaching authorship attribution as a multi-view supervised learning task
Label propagation through neuronal synchrony
In-Place Learning for Positional and Scale Invariance
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval
Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker
Regularity and randomness in modular network structures for neural associative memories
Lying Graph Convolution: Learning to Lie for Node Classification Tasks
FraudAmmo: Large Scale Synthetic Transactional Dataset for Payment Fraud Detection
Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL)
Inverse kinematics learning by modular architecture neural networks
Multi-valued autoencoders for multi-valued neural networks
A General Framework for the Functions of the Brain
Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences
Polyphonic sound event detection using multi label deep neural networks
Can I Trust You? Rethinking Calibration with Controllable Confidence Ranking
BiLSTM-Enhanced GNN for Document-Level Event Extraction with Multi-Strategy Optimization
Improving Fast Adversarial Training with Adversarial Sample Fusion
Aspect-level Sentiment Classification with Reinforcement Learning
Active Learning for Graph Neural Networks Training in Catalyst Energy Prediction
Event modeling of message interchange in stochastic neural ensembles
Effective, Efficient and Robust Neural Architecture Search
Offshore Oil Slicks Detection From SAR Images Through The Mask-RCNN Deep Learning Model
Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution
Differential Privacy on Large Language Models for Privacy Preserving Clinical Coding
Skeleton-Based Action Recognition with Spatial-Structural Graph Convolution
Rotational invariant formulation for line process
Handling Chinese OOV with a Combination of Radical-based Sub-words and Glyph Features
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
A Cross-Age Face Recognition Method Utilizing Non-linear Decoupling of Multi-level Features
Multi-Modal Multi-Instance Multi-Label Learning with Graph Convolutional Network
Learning Effective Discriminative Features with Differentiable Magnet Loss
Robust neural network RISE observer based fault diagnostics and prediction
IEEE International Joint Conference on Neural Networks, IJCNN 2004, Budapest, Hungary, 22-29 July, 2004
Multi-objective optimization of a hybrid model for network traffic classification by combining machine learning techniques
Implementation of signal processing tasks on neuromorphic hardware
Mining Knowledge within Categories in Global and Local Fashion for Multi-Label Text Classification
On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition
Embedding Bottleneck Gated Recurrent Unit Network for Radar Signal Recognition
Unsupervised extraction of design components for a 3D parts-based representation
An inexact penalty method for the semiparametric Support Vector Machine classifier
Comparison of semantic segmentation approaches for horizon/sky line detection
Iterative learning control for 2-D systems
A statistical analysis of soft-margin support vector machines for non-separable problems
Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification
Adaptive learning of dynamic movement primitives through demonstration
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks
Visual attention using spiking neural maps
Learning to Learn: When Chain-Of-Thought in Domain-Specific Machine Translation
STIP-GCN: Space-time interest points graph convolutional network for action recognition
Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks
Dual-Spectral Neural Operator for Solving Partial Differential Equations
Fragmented Basins of Attraction of Recursive Processing Elements in Associative Neural Networks and its Impact on Pattern Recovery Performance
Neural networks applied to classification of data based on Mahalanobis metrics
A Hybrid Supervised Deep Learning Approach for Non-intrusive Load Monitoring
Compressed Superposition of Neural Networks for Deep Learning in Edge Computing
Multi-view Vehicle Detection based on Part Model with Active Learning
Continuous time NLq theory: absolute stability criteria
Limits of coincidence detector neurons as decoders of Polychronous Neuronal Groups firing completely
Nonlinear system adaptive trajectory tracking by dynamic neural control
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval
WLAMr-DDH: Weighted Laterals With Augmentation Mask for Discriminative Deep Hashing for Face Image Retrieval
Efficient energy landscape transformation in the problem of binary minimization
A self-adaptive quantum radial basis function network for classification applications
Four Models of Hopfield-Type Octonion Neural Networks and Their Existing Conditions of Energy Functions
Kernel-based Infinite-dimensional Dimension Reduction for Functional Data
Face information processing by fast statistical learning algorithm
TSD-YOLOv5: A traffic sign recognition algorithm based on improved YOLOv5
AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering
Incremental learning by VSF network and its chaotic effects
Single compartment fire risk analysis using a fuzzy neural network
Exploring Autoencoders for Feature Extraction in Multi-Target Classification
Fitness with diversity information for selection of evolutionary algorithms
Realizing general MLP networks with minimal FPGA resources
PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition
Label Propagation Through Optimal Transport
Augmenting The Size of EEG datasets Using Generative Adversarial Networks
Continuous Optimal Controllers Using Hierarchical Mixtures of Experts
Working-memory prefrontal model for cognitive flexibility in task-switching and selection
A neurocomputational model of automaticity and maintenance of abstract rules
E-LSTM: An extension to the LSTM architecture for incorporating long lag dependencies
GASGM-GFT: Gaussian Attenuation Singing Graph Model and Graph Fourier Transform for Singing Voice Deepfake Detection
Retinal blood vessel segmentation using bee colony optimisation and pattern search
A new scene analysis using genetic algorithm based fuzzy ID3 method
Enhancing Anomaly Detection in Noisy Images: Unleashing the Power of Attention-Aware PDE Constraint Feature Denoiser Module
Towards autonomous bootstrapping for life-long learning categorization tasks
On the evaluation of relevance learning by a multi-layer perceptron
Explaining Deepfake Detectors to Enhance Generalization via Game-Theoretic Approaches
QFARE: Quantum Feedforward Adaptive Reinforcement Ensemble for MNIST Classification
A neural circuit model for nCRF's dynamic adjustment and its application on image representation
Neural networks in off-line text recognition: a review
Knowledge Distill for Spiking Neural Networks
Relation Adaptive Representation Learning Based on Factual Information Interaction for One-Shot Knowledge Graph Completion
ACL-adaptive correction of learning parameters for backpropagation based algorithms
S 3 PI: A Semi-Supervised Smart Ponzi Identification Method Based on Contrastive Learning
ART properties of interest in engineering applications
Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images
Dual Sequential Recommendation Integrating High-order Collaborative Relations via Graph Attention Networks
A retrospective on Adaptive Dynamic Programming for control
Hierarchical semi-supervised clustering using KSC based model
MK-means - Modified K-means clustering algorithm
Sharing information on extended reachability goals over propositionally constrained multi-agent state spaces
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints
Information theoretical algorithm based on statistical models for blind identification of nonstationary dynamical systems
Harmonic Decomposition to Estimate Periodic Signals using Machine Learning Algorithms: Application to Helicopter Loads
Brain signal pattern of engrossed subjects using near infrared spectroscopy (NIRS) and its application to TV commercial evaluation
RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
Pruning population size in XCS for complex problems
Particle competition and cooperation in networks for semi-supervised learning with concept drift
Brain status data analyzed by Empirical Mode Decomposition
Deep neural networks for Multi-Room Voice Activity Detection: Advancements and comparative evaluation
The impact of Interconnecting Topologies on SOM Neural Networks
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis
Single-trial detection and session detection in a rapid serial visual presentation task with covariate, target probability, and concept shifts
Delve into Cosine: Few-shot Object Detection via Adaptive Norm-cutting Scale