yusuke1997/dblp-id-title huggingface dataset:
Latent Space Embedding for Unsupervised Feature Selection via Joint Dictionary Learning
Defending Machine Reading Comprehension against Question-Targeted Attacks
Acoustic Emission, Cylinder Pressure and Vibration: A Multisensor Approach to Robust Fault Diagnosis
Robust Video Watermarking Network Based on Channel Spatial Attention
Community synchronization of functional brain network with cognitive training
Emergence of perceptual states in nonlinear lattices: A new computational model for perception
Music Question Answering Based on Aesthetic Experience
Modality-Independent Graph Convolutional Networks with Multi-Task and Hybrid cross-attention for Subject-Independent Emotion Recognition
Incremental object classification using hierarchical generative Gaussian mixture and topology based feature representation
Scalable NoC-based Neuromorphic Hardware Learning and Inference
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability
Neural network fusion strategies for identifying breast masses
Road junction detection from 3D point clouds
MAMR: Modality-Aligned Multi-modal Retrieval
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites
Symbolic Knowledge Extraction and Distillation into Convolutional Neural Networks to Improve Medical Image Classification
Research of Recharging Scheduling Scheme for Wireless Sensor Networks Based on Cuckoo Search
Why pairwise is better than one-against-all or all-at-once
A comparison of architectural varieties in Radial Basis Function Neural Networks
MCC-Net: Mamba based Consistency Constraints Network for Semi-Supervised 3D Medical Image Segmentation
Artificial Neural Networks Applied in the Solution of the Inverse Kinematics Problem of a 3D Manipulator Arm
Unsupervised Video Face Super-Resolution via Untrained Neural Network Priors
Information theoretic analysis of energy efficient neurons with biologically plausible constraints
Domain-Generic Pre-Training for Low-Cost Entity Matching via Domain Alignment and Domain Antagonism
Genetic programming: building nanobrains with genetically programmed neural network modules
On the Hardware-Relevant Simulation of Regular Two-Dimensional CNN Processing Grids
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble
Elastic step DDPG: Multi-step reinforcement learning for improved sample efficiency
A comparative evaluation of the Generative Topographic Mapping and the Elastic Net for the formation of Ocular Dominance stripes
TempUnit: A bio-inspired neural network model for signal processing
Improvement of Energy Efficiency of Markov ACMV Systems based on PTS Information of Occupants
SBR-GS:Enhancing Scene Editability based on Static Background Reconstruction using Gaussian Splatting
The definition of necessary hidden units in neural networks for combinatorial optimization
From passive to active subretinal implants, serving as adapting electronic substitution of degenerated photoreceptors
Acceleration of learning speed in neural networks by reducing weight oscillations
Target Speech Extraction with Pre-trained AV-HuBERT and Mask-And-Recover Strategy
Neural networks to estimate the risk for preeclampsia occurrence
An empirical biometric-based study for user identification with different neural networks in the online game League of Legends
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks
Machine Learning Based MIMO Equalizer for High Frequency (HF) Communications
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Novel Design Ideas that Improve Video-Understanding Networks with Transformers
Training multilayer perceptron and radial basis function neural networks for wavefront sensing and restoration of turbulence-degraded imagery
Prediction with Expert Advice for Value at Risk
ASACANet: Edge-Guided Agent Attention and Staged Convolution for Semantic Segmentation
Multi-sense based neural machine translation
Evaluation of multi feature fusion at score-level for appearance-based person re-identification
The stability and bifurcation analysis in high dimensional neural networks with discrete and distributed delays
Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility
Unveiling Robustness of Spiking Neural Networks against Data Poisoning Attacks
Automatic recognition and assignment of missile pieces in clutter
Similarity-based image retrieval from plural key images by self-organizing map with refractoriness
Echo state network ensembles for surrogate models with an application to urban mobility
Threshold optimization of pseudo-inverse linear discriminants based on overall accuracies
Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection
Backpropagation Algorithm for Logic Oriented Neural Networks
Enhancing the classification accuracy of Steady-State Visual Evoked Potential-based Brain-Computer Interface using Component Synchrony Measure
Estimating Protein Structure Prediction Models Quality Using Convolutional Neural Networks
Predicting outcome for hospitalized cardiac patients using a combined neural network and rough set approach
DSP-Net: Dense-to-Sparse Proposal Generation Approach for 3D Object Detection on Point Cloud
Context-dependent environmental sound monitoring using SOM coupled with LEGION
Learning and retrieval of hierarchically organized information in a simple, one-layered RNN
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks
User Preference Prediction in Visual Data on Mobile Devices
FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation
CNN-Transformer Ensemble: Advancing Visual Piano Transcription with Global and Local Features
Distributed configuration of massively-parallel simulation on SpiNNaker neuromorphic hardware
Dynamic Programming with ARMA, Markov, and NARMA Models vs. Q-Learning: Case Study
MNRD: A Merged Neural Model For Rumor Detection In Social Media
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search
Adaptive on-line registration algorithm based on GLR
Improving the performance of neural networks in regression tasks using drawering
Spike timing-dependent conduction delay learning model classifying spatio-temporal spike patterns
A null space based one class kernel Fisher discriminant
Quasi-local solution for inverse kinematics of a redundant robot arm
Neural Network-based Traffic Matrix Prediction Incorporating Inter-Flow Correlations for Optical Network-on-Chip (ONoC)
An input variable importance definition based on empirical data probability and its use in variable selection
A Graph Architecture Search Method Based On Grouped Operations
Cross-Domain Human Activity Recognition via Transfer Learning
A learner's role-based multi dimensional collaborative recommendation (LRMDCR) for group learning support
A texture classifier based on neural network principles
EFNAS: Efficient Federated Neural Architecture Search Across AIoT Devices
Designing Stress Response Analyzer using Composite Cardiovascular Biomarkers
STPYOLO: A Lightweight and Efficient Model for Small Target Pest Detection
Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data
Improving Speech Emotion Recognition through Hierarchical Classification and Text Integration for Enhanced Emotional Analysis and Contextual Understanding
Tangent space guided intelligent neighbor finding
A novel pruning algorithm for self-organizing neural network
Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI
Large-Scale Linear NPSVM via One Permutation Hashing
Dynamic Graph Neural Network with Motif Reconstruction
An improved kernel Fisher discriminant classifier and its applications
Neural networks for predicting Kaposi's sarcoma
Hypercomplex Image- to- Image Translation
CNF-VAE: Nonlinear Causal Representation Learning based on VAE and Flow
Neurocontroller for unknown systems using simultaneous perturbation
Designing an Associative Memory via Optimal Training for Fault Diagnosis
Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines
5W1H Extraction With Large Language Models
Predicting user's multi-interests with network embedding in health-related topics
Designing RBF classifiers for weighted boosting
Fashion Outfit Composition Combining Sequential Learning and Deep Aesthetic Network
Near optimal event-based control of nonlinear discrete time systems in affine form with measured input and output data
Traffic sign recognition using a novel permutation-based local image feature
Event Prediction and Quality-adaptive Attention for Energy and Data Efficient Dynamic Visual Sensing
A survey of distance/similarity measures for categorical data
CoRPL: A Novel Contrastive and Reciprocal Points Learning Framework for Open-Set Hyperspectral Image Classification
Feature extraction CNN algorithms for artificial immune systems
Capture Inter-Speaker Information with a Neural Network for Speaker Identification
A Gustatory Information-Processing Model for the Evaluation of Taste Preference
Digital Hardware Implementation of 2D Compatible Neural Networks
A Bidirectional Gated Recurrent Unit Model for PUE Prediction in Data Centers
Fuzzy neural nets can solve the overfitting problem
Short-term traffic flow forecasting based on clustering and feature selection
Universal network representation for heterogeneous information networks
Improved fuzzy lattice neurocomputing (FLN) for semantic neural computing
Create Stable Neural Networks by Cross-Validation
A real time neural net estimator of fatigue life
Correntropy kernel temporal differences for reinforcement learning brain machine interfaces
Multiscale Residual Network with Dynamic Depthwise Convolution for Multi-label 12-Lead ECG Classification
Detection of Malicious SCADA Communications via Multi-Subspace Feature Selection
QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes
Sparse Support Vector Machine with Fisher-Regularizer for Data Reduction
Reconfigurable disruption tolerant routing via Reinforcement Learning
Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models
Hardware design of CMAC neural network for control applications
Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference
A quotient gradient method to train artificial neural networks
Nonlinear factorization in the hippocampal neural structure
Disease Diagnosis with Cost-Sensitive Grouped Features Based on Deep Reinforcement Learning
SOMMA: Cortically inspired paradigms for multimodal processing
Environmental Map Learning Method based on Growing Neural Gas for a Mobile Robot
Automotive diagnostics using trainable classifiers: statistical testing and paradigm selection
A self-organized growing network for on-line unsupervised learning
Data Driven Derivative-based Regularization for Regression
The Social Stage of Responses: Social Intent Detection in Discussion Threads Using Deep Learning Model
Towards improved theoretical problems for autonomous discovery
Arbitrary-Shaped Text Detection with Hierarchical Feature Refinement and Nonlinear-Enhanced Transformers
VisDG: Towards Spontaneous Visual Dialogue Generation
A Novel Forgetting Mitigation Approach for YOLOv7-Enabled Incremental Object Detection
Stacked Tensor Subspace Learning for hyperspectral image classification
XMNet: XGBoost with Multitasking Network for Classification and Segmentation of Ultra-Fine-Grained Datasets
Active Stacking for Heart Rate Estimation
Pattern de-noising based on support vector data description
Learning with few examples: An empirical study on leading classifiers
Non-negative Matrix Factorization based on γ-divergence
Boundary-Guided Fusion of Multi-Level Features Network for Camouflaged Object Detection
Label confidence based AdaBoost algorithm
Boost Transformer with BERT and copying mechanism for ASR error correction
Neural network system for continuous hand-written words recognition
Peculiarities of frequency-phase filtering of signals at different stages of information processing in rat barrel cortex
Image segmentation using fast linking SCM
Individual Interest and Trust Driving Collective Intelligence Awareness for Social Recommendation
Neural Network Prediction Interval Based on Joint Supervision
FOOD: Fast Out-Of-Distribution Detector
A novel Chaotic Stream DS-UWB system
A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer
Adaptive mask attention dual branch network with multi-modal data for Alzheimer's Disease diagnosis
Scene learning and glance recognizability based on competitively growing spiking neural network
A Thompson Sampling Approach to User-centric Selection Problems
Neural network for inverse mapping in eddy current testing
Recurrent high-order networks for probabilistic explanation
Continuous Modeling of Power Plant Performance with Regularized Extreme Learning Machine
Resource Efficient Mountainous Skyline Extraction using Shallow Learning
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning
Malicious Collusion Detection in Mobile Environment by means of Model Checking
Unbounded Recurrent Fuzzy Min-Max Neural Network for Pattern Classification
Optimal synaptic learning in non-linear associative memory
Dual-Stream Global-Local Feature Collaborative Representation Network for Scene Classification of Mining Area
Multi-modal Hierarchical Clustering Network for Cancer Subtype Identification of Multi-omics Data
Euclidean distance and second derivative based widths optimization of radial basis function neural networks
Recognition of Endangered Pantanal Animal Species using Deep Learning Methods
Landmark-based Partial Multi-label Learning with Noise Processing
A General Heterogeneous Hypergraph Neural Network for Node Classification
Dual knowledge distillation for bidirectional neural machine translation
RTD-based compact programmable gates
Motor cortical activity during sinusoidal tracing
A hybrid neural network for optimal TDMA transmission scheduling in packet radio networks
An approach employing signal sparse representation in wavelet domain for underdetermined blind source separation
The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes
Low Resolution Handwritten Digit String Recognition based on Object Detection Network
On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA
Computational model for estimation of refractory wear and skull deposition in blast furnace hearth wall
Continuous neural identifier for uncertain nonlinear systems with time delays in the input signal
Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving
On the importance of pair-wise feature correlations for image classification
Maintaining Distinction and Fairness in Data-Free Class Incremental Learning
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning
Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection
Chinese Semantic Matching with Multi-granularity Alignment and Feature Fusion
Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks
A minimum interconnection direct storage model of a neural bidirectional memory
Design and analysis of the WCCI 2010 active learning challenge
Comparing recurrent networks for time-series forecasting
Enhancing MOPSO through the guidance of ANNs
Effect of Pruning on Catastrophic Forgetting in Growing Dual Memory Networks
ARO network: a temporal fusion based neural architecture for low level vision
Agnostic Learning with Ensembles of Classifiers
Position paper: Foundation models are not the brain
LW-DETR: Vision Transformer-Based Network for Transmission Line Fittings Defect Detection
Repr2Seq: A Data-to-Text Generation Model for Time Series
Convergence analysis of chaotic dynamic neuron
Filter Bank Adversarial Domain Adaptation For Motor Imagery Brain Computer Interface
Neural Network Modeling of Gist and Verbatim in Business Decision Making
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing
Swarm Behavior Recognition: Martingales Protected Paradigm
Kernel normalized mixed-norm algorithm for system identification
Soft Pruning and Latent Space Dimensionality Reduction
Classification of the Italian Liras Using the LVQ Method
Recurrent networks for learning stochastic sequences
Development of a virtual agent based social tutor for children with autism spectrum disorders
An integrated approach to robust speaker identification and speech recognition
Meta-optimized Session-based Recommendation with Adaptive Multi-level User Intent Integration
A hybrid PCA-LDA model for dimension reduction
Classification based on neuroimaging data by tensor boosting
Learning Rich Detailed Features and Object Relations for Object Detection
Time series forecasting: Automatic determination of lags and radial basis neural networks for a changing horizon environment
Conventional and Structure Based Sentiment Analysis: A Survey
Gene regulatory networks inference with recurrent neural network models
A Calculation Method of the Similarity Between Trained Model and New Sample by using Gaussian Distribution
A Novel Exponential Dynamic Inertia Weight for Particle Swarm Optimization
A new approach for context-independent handwritten offline diagram recognition using support vector machines
Correlation Filter Tracking with Multiscale Spatial View
Neuro-fuzzy control strategy for methane production in an anaerobic process
Hysteretic Oscillator-Based Reservoir Computing for Audio Waveform Pattern Recognition
Exploiting the use of recurrent neural networks for driver behavior profiling
Majority neuron circuit having large fan-in with non-volatile synaptic weight
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition
Adaptive fault-tolerant control for a class of uncertain nonlinear MISO discrete-time systems in triangular forms with actuator failures
Generalized Policy Iteration for continuous-time systems
Nonlinear mappings based on particle swarm optimization
Active disturbance rejection control based on differential neural networks
FedTAIL: A Federated Learning Approach with Trans-Architecture Intermediate Links
In vivo classification of inflammation in blood vessels with convolutional neural networks
A Physical Attack for Segmentation-Based Visual Foundation Models
TOT-DS: Demonstration Selection for Enhancing the Reasoning Capabilities of Large Language Models
Solving Traveling Salesman Problem by a hybrid combination of PSO and Extremal Optimization
Facial Expression Recognition of Animated Characters using Deep Learning
SAMS : One-Shot Learning for the Segment Anything Model Using Similar Images
A Fair Incentive Mechanism for Federated Auctioning Networks
Dynamic control using feedforward networks with adaptive delay and facilitating neural dynamics
Learning auditory neural representations for emotion recognition
Finger vein verification using Occurrence Probability Matrix (OPM)
Complex Recurrent Variational Autoencoder for Speech Resynthesis and Enhancement
Inversion of neural network underwater acoustic model for estimation of bottom parameters using modified particle swarm optimizers
Privacy-preserving time series prediction with temporal convolutional neural networks
Variance analysis of sensitivity information for pruning multilayer feedforward neural networks
A Large-Scale Dataset for Motivational Dialogue System: An Application of Natural Language Generation to Mental Health
Robust pattern recognition using chaotic dynamics in Attractor Recurrent Neural Network
Improved Training of Physics-Informed Neural Networks with Model Ensembles
A Modified Search Procedure for the Art Neural Networks
Learning Choice Nuance for Multiple-Choice Commonsense Question Answering
Multi-granularity Pose Fusion Network with Views for Person Re-identification
A Classification Surrogate Model based Evolutionary Algorithm for Neural Network Structure Learning
Fog Forecasting Using Self Growing Neural Network 'CombNET-II: ' A Solution for Imbalanced Training Sets Problem
Behavior of interactive neural networks as associative memories
Data-Locked Knowledge Distillation with Ready-To-Use Substitutes
The further discussions on constrained learning algorithms
CLIPPose: Using Language Prompts for Human Pose Estimation
Partitioning in reinforcement learning
Fast segmentation for large and sparsely labeled coral images
Digital pulse mode neuron with robust nonlinear activation function
Eclectic method for feature reduction using Self-Organizing Maps
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings
Prediction of Key Variables in Wastewater Treatment Plants Using Machine Learning Models
A customer intention aware system for document analysis
Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality
Audioset classification with Graph Convolutional Attention model
Multi-objective cellular neural networks
Multi-Scale Loss Components in 3DGS-based RGB-D SLAM Systems
Self-organizing maps with a single neuron
Cluster Structure Preserving Based on Dictionary Pair for Unsupervised Feature Selection
Pattern dependency of one-to-many association ability in Chaotic Complex-valued Multidirectional Associative Memory with variable scaling factor
3D Human Pose Estimation based on Center of Gravity
Offloading DNN Tasks Based on Graph Reinforcement Learning in Client-Edge-Cloud Environment
A Dual Quaternion Embedding Method of Link Prediction based on Orthogonalization and Rotation
Named entity recognition of specific fields integrating word and improved entity key information attention mechanism
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras
Direction-Oriented Edge Reconstruction Network for Camouflaged Object Detection
QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison
Measuring Noticeability: Multi-scale Context Aggregation for Prioritizing Video Anomalies
A new model for learning in graph domains
A Robust Bio-Inspired Clustering Algorithm for the Automatic Determination of Unknown Cluster Number
Phonetic state relation graph regularized deep neural network for robust acoustic model
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain
Data Valuation Method Based on Federated Learning and Shapley Value
Multi-target osteosarcoma MRI recognition with texture context features based on CRF
Integrated structure design for CMAC-based fuzzy logic controller
ESSI-KG: Enhancing Structural Semantic Integration in KG-to-Text Pretraining Models
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition
Patch-wise Mixed-Precision Quantization of Vision Transformer
A Viewport Prediction Framework for Panoramic Videos
Modeling Protein Activities and Mutations with Graph Neural Networks: Insights into Hemophilia
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction
Modeling performance enhancement with constrained linear filters
Independent component analysis with graphical correlation: Applications to multi-vision coding
Performance improvement of heuristic algorithms for large scale combinatorial optimization problems using Lebesgue Spectrum Filter
Robust Classification Combined with Robust out-of-Distribution Detection: An Empirical Analysis
A model of cerebellar adaptation of grip forces during lifting
Design of B-spline neural networks using a bacterial programming approach
Modeling nonlinear neural dynamics with Volterra-Poisson kernels
Enhancing both generalization and fault tolerance of multilayer neural networks
Chrono Clustering: A Novel Methodology for Dynamic Topic Trend Analysis
Dynamics of signal processing in feedback multilayer perceptrons