yusuke1997/dblp-id-title huggingface dataset:
Predictive Analytics of COVID-19 with Neural Networks
Deep Root Cause Analysis: Unveiling Anomalies and Enhancing Fault Detection in Industrial Time Series
Channel estimation for visible light communications using neural networks
Automatic concept type identification from learning resources
Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling
Sensor-fusion in spiking neural network that generates autonomous behavior in real mobile robot
Object recognition using neurocomputing and conformal computing geometry
Rethinking Multi-scale Feature Enhancement and Learning Mechanism for Real-time Object Detection
Auto Time-CoT Enhances Large Language Models for Temporal Reasoning Data Processing
Smart bandwidth management using a recurrent Neuro-Evolutionary technique
Locally Weighted Fusion of Multiple Predictive Models
Model switching predictive control using bagging CAN2 and first-difference signals for temperature control of RCA cleaning solutions
Ensemble Broad Learning Approaches Applied to Modeling of Level Bearing Vibration in Vehicle
Learning methods of recurrent Spiking Neural Networks based on adjoint equations approach
Fine-Grained Contrastive Learning for Pulmonary Nodule Classification
Comparing evolutionary methods for reservoir computing pre-training
A QoS-oriented Scheduling and Autoscaling Framework for Deep Learning
Neuro-Fuzzy Control of SSSC and SMES for Transient Stability Improvement of Power System Transmission Lines
Kolmogorov-Arnold Representation for Symplectic Learning: Advancing Hamiltonian Neural Networks
Comparing machine learning methods in estimation of model uncertainty
A study of removing hidden neurons in cascade-correlation neural networks
Improving End-to-End Object Detection by Enhanced Attention
Static and dynamic memory to simulate higher-order cognitive tasks
Transfer learning emotion manifestation across music and speech
Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications
Two-dimensional Neighborhood Discriminant Projection
Skew-normal Mixture of Experts
FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning
An open-source real-time system for remote robotic control using Neuroblastoma cultures
Learning rates of neural network estimators via the new FNNs operators
Learning Robust Representations for Carotid Plaque Classification via Transition Matrix and Structural Similarity Regularization
An effective just-in-time adaptive classifier for gradual concept drifts
Deep Spiking Quantum Neural Network for Noisy Image Classification
Neural-network-based robust optimal control of uncertain nonlinear systems using model-free policy iteration algorithm
Artificial Brains - A Cheap Method for Speeding the Evolution of Neural Network Modules for Artificial Brain Building
Interpretability of artificial hydrocarbon networks for breast cancer classification
Prediction of ventilation requirements in an intensive care unit
Image Generation and Translation with Disentangled Representations
Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder
A Deep Learning Algorithm for Fully Automatic Brain Tumor Segmentation
Drift-DiffuSE: Diffusion Model with Learnable Drift Term for Speech Enhancement
Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains
A partially recurrent mixture-of-experts model for task decomposition into temporal and static subtasks
Memory versus non-linearity in reservoirs
Oscillatory Network for Synchronization-Based Adaptive Image Segmentation
The Application of Dynamic Synapse Neural Networks on Footstep and Vehicle Recognition
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine
SEDX: Seasonal Encoder-Decoder for Forecasting
Learning a Discriminative Grassmannian Neural Network for Visual Classification
Learning and Memory of Spatial Relationship by a Neural Network with Sparse Features
Symbol Detection for Polarization Shift Keying Based on Quaternion Neural Networks
Attentional Neural Factorization Machine for Web Services Classification via Exploring Content and Structural Semantics
MS-TSKfnn: novel Takagi-Sugeno-Kang fuzzy neural network using ART like clustering
An MDM solver for the nearest point problem in Scaled Convex Hulls
Dense Pseudo-Labels based Semi-supervised Object Detection for Remote Sensing ⋆
MSALNet: Capturing Contextual Relationships for Monocular 3D Visual Grounding
Training Neural Networks with Threshold Activation Functions and Constrained Integer Weights
Knowledge Distillation with Deep Supervision
Deep neural network for online writer identification using Beta-elliptic model
Deep Reinforcement Learning with Dual Targeting Algorithm
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System
Conditions for the convergence of one-layer networks under reinforcement learning
On the Space of Coefficients of a Feedforward Neural Network
Learning nonlinearly separable mod k addition problem using a single multi-valued neuron with a periodic activation function
Self-organizing neural grove and its applications
SynNER: Synergizing Large and Small Language Models for Few-Shot Nested NER
Efficient hardware implementation of an image compressor for wireless capsule endoscopy applications
Bio-inspired probabilistic model for crowd emotion detection
Event identification and assertion from social media using auto-extendable knowledge base
FAuto: An Efficient GMM-HMM FPGA Implementation for Behavior Estimation in Autonomous Systems
Improving generalization by teacher-directed learning
On the Linear Separability of Random Points in the d-dimensional Spherical Layer and in the d-dimensional Cube
SGTrans: Signed Graph Transformer for Link Sign Prediction
Fairness-Aware Active Learning for Decoupled Model
A Comparative Study and a New Industrial Platform for Decentralized Anomaly Detection Using Machine Learning Algorithms
Predicting drug absorption rates through human skin
Spectral decomposition methods for the analysis of MRS information from human brain tumors
Latent attractor selection for variable length episodic context stimuli with distractors
A neural words encoding model
Recurrent Point Review Models
Adding Reinforcement Learning Features to the Neural-Gas Method
Lie algebra-valued neural networks
Two stochastic dynamic programming problems by model-free actor-critic recurrent-network learning in non-Markovian settings
Constructing a neural system for surface inspection
A Brain-inspired Fully Hardware Hopfield Neural Network based on Memristive Arrays
PFedDST: Personalized Federated Learning with Decentralized Selection Training
Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks
Impact of multiple clusters on neural classification of ROIs in digital mammograms
Monitoring seagrass health using neural networks
An information geometric approach to survival analysis and feature selection by neural networks
Deep Neural Network Pruning with Progressive Regularizer
Recommendation with Dynamic Natural Language Explanations
Gradient-based morphological approach for software development cost estimation
HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
Greedy network-growing by Minkowski distance functions
A probabilistic prior knowledge integration method: Application to generative and discriminative models
Hardware Implementation of a PCA Learning Network by an Asynchronous PDM Digital Circuit
A fast and effective Extreme learning machine algorithm without tuning
Dual coding in a network of spiking neurons: aperiodic spikes and stable firing rates
Beyond Binary Classification: Customizable Text Watermark on Large Language Models
A Novel Self-Organizing Emotional CMAC Network for Robotic Control *
Fast and Exact Synthesis of Application Deployment Plans using Graph Neural Networks and Satisfiability Modulo Theory
Autism Spectrum Quotient Optimization Based on Machine Learning and Feature Selection
A Guided Learning Approach for Generative Adversarial Networks
Regret Analysis of Stochastic Multi-armed Bandit Problem with Clustered Information Feedback
Tensorized Multi-view Clustering via Hyper-graph Regularization
Proof of hidden node number in MLP and experiments on well log data inversion
Lessons from complex systems modeling: Crisis, innovation, decision making
Dual-Branch Retinal OCT Anomaly Detection Based on Knowledge Distillation and Reconstruction
A Lightweight Chinese Multimodal Textual Defense Method based on Contrastive-Adversarial Training
ShapeFormer: Shape Prior Visible-to-Amodal Transformer-based Amodal Instance Segmentation
Attention-driven Multi-sensor Selection
Hysteresis neural networks for a combinatorial optimization problem
Hebbian synaptic modification in cortical circuits and memory-guided behavior in spatial alternation and delayed non-match to position
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm
Linear programming and associative memory matrices
Classification and Function Approximation Using Feed-Forward Shunting Inhibitory Artificial Neural Networks
Unsteady Three Dimensional Aerodynamic Load Prediction Using Neural Networks
Predicting sugar regulation in Arabidopsis thaliana using kernel learning methods
Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions
A model of an intraconnected neural parallel bidirectional memory
A fast learning technique for the multilayer perceptron
Using Complexity Measures to Evolve Synthetic Classification Datasets
Recurrent wavelets neural networks learning via dead zone Kalman filter
Towards Better Word Importance Ranking in Textual Adversarial Attacks
On logical semantics of hybrid symbolic-neural networks for commonsense reasoning
BDP: Bipartite Graph Adversarial Defense Algorithm Based on Graph Purification
Multiple Instance Learning for Training Neural Networks under Label Noise
Deeply Learned Cervical Vertebrae Maturation Staging in CT Images
Weighted entropy cortical algorithms for isolated Arabic speech recognition
A Novel neuro-fuzzy assessment index for orthodontics
A generalized canonical correlation analysis based method for blind source separation from related data sets
Feature selection assessment and comparison using two saliency measures in an Elman recurrent neural network
SAR Image Specle Reduction based on a Generative Adversarial Network
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation
Neural Greedy Pursuit for Feature Selection
Predicting nerve guidance conduit performance for peripheral nerve regeneration using bootstrap aggregated neural networks
A Growing Hierarchical Clustering Algorithm via Parameter-free Adaptive Resonance Theory
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks
Phase diagrams for locally Hopfield neural networks in presence of correlated patterns
A kernel-based adaptive fuzzy c-means algorithm for M-FISH image segmentation
Bacterial colony detection method for microbiological photographic images
High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning
Evolving Spiking Neural Networks for predicting transcription factor binding sites
Low Power Memristor Crossbar Based Winner Takes All Circuit
An Open-source Cross-Industry and Cloud-agnostic Generative AI Platform
Region-specific fMRI dictionary for decoding face verification in humans
Data-driven vocal folds models for the representation of both acoustic and high speed video data
Modular Method for Embodied Instruction Following with Environmental Context Adaptation
Reinforcement learning in associative memory
Short-term rainfall time series prediction with incomplete data
Novel stability criteria of T-S fuzzy hopfield neural networks with time-varying delays and uncertainties
Robust feature learning method for epileptic seizures prediction based on long-term EEG signals
The convergence rate of the MDM algorithm
Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine
Book2QA: A Framework for Integrating LLMs to Generate High-quality QA Data from Textbooks
MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing
Supervised Classification and Gene Selection Using Simulated Annealing
Morphological Neural Networks for Robust Visual Processing in Mobile Robotics
A feedback neural network with supervised learning
Simulated annealing for pattern detection and seismic analysis
A scalable and dynamic self-organizing map for clustering large volumes of text data
Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems
Response of chaotic spiking circuit to periodic/nonperiodic inputs
Neural units recruitment algorithm for generation of decision trees
Drug-drug Interaction Prediction with Common Structural Patterns
Dual teacher Dual student with Pixel Refinement for Weakly Supervised Semantic Segmentation
Higher order differential correlation associative memory of sequential patterns
ICA for modelling and generating organ pipes self-sustained tones
Variable Thresholds in the Chaotic Cellular Neural Network
A biologically plausible spiking model for interaural level difference processing auditory pathway in human brain
Programming robots with associative memories
Online identification of generator dynamics in a multimachine power system with a spiking neural network
Bivariate Generalized Linear Model for Interval-Valued Variables
RPE-BAM networks: Bidirectional heteroassociation in neural networks of recursive nodes with rich dynamics
SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities
Applying Guided Evolutionary Simulated Annealing to cost-based abduction
Learning averages over the lie group of unitary matrices
Prog-TAPAS: Enabling Table and Program Representation Consistency for Fact Verification
Optimization of parameters for effective Web information retrieval using an evolutionary algorithm
BioAnt - biologically plausible computer simulation of an environment with ants
Detection of disease outbreaks in pharmaceutical sales: neural networks and threshold algorithms
State transition control of a five-fingered pneumatic hand using a neural network
Traffic Flow Estimation Methods During Highway Reconstruction
Automatic seizure detection using a novel EEG feature based on nonlinear complexity
Kernel-based subpixel target detection in hyperspectral images
Boosting Temporal Question Answering via Two-Stage Entity Fusion
Cognitive Radio Spectrum Sensing and Prediction Using Deep Reinforcement Learning
Theory of the optimum signal approximation clarifying the importance in the recognition of parallel world and application to secure signal communication with feedback
Enhance Object Detection via Instance Transformation Between Categories Using Diffusion Models
A neurocomputing model for ganglion cell's color opponency mechanism and its application in image analysis
Independent Component Analysis Using Time Delayed Sampling
High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy
Nonlinear model predictive control using a recurrent neural network
QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework
Fingerprint reference point detection based on local ridge orientation patterns of fingerprints
Natural language processing neural network for analogical inference
Improved error bounds based on worst likely assignments
Public Perception of Accountability for AI Systems: The Influence of Age and Education
A Neural Net Framework for Accumulative Feature-based Matrix Completion
Lightweight Ghost Dense Network for Tomato Leaf Disease Identification
FedDefense: An Integrated Robust Defense Against Backdoor Attacks in Federated Learning
Real-time video object recognition using convolutional neural network
Data Under Siege: The Quest for the Optimal Convolutional Autoencoder in Side-Channel Attacks
Self-organized function localization neural network
Design method of neural networks for limit cycle generator
Bio-inspired stochastic chance-constrained multi-robot task allocation using WSN
Defect classification in shearography images using convolutional neural networks
Continual Learning for Temporal-Sensitive Question Answering
Design, modeling, and position control of a single-phase reluctance machine
HARTO: Human Activity Recognition Through Optical Flow Architecture
Combining Gradient and Evolutionary Approaches to the Artificial Neural Networks Training According to Principles of Support Vector Machines
Background Subtraction on Depth Videos with Convolutional Neural Networks
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-Tuning
Fuzzy neural network based RFID indoor location sensing technique
The on-line curvilinear component analysis (onCCA) for real-time data reduction
Texture discrimination based on neural dynamics of visual perception
Performance Evaluation of YOLOv5 on Edge Devices for Personal Protective Equipment Detection
DAEM: A Decomposed Attention-Enhanced Mamba Model for Multivariate Time Series Forecasting
Parametrized SOMs for Hand Posture Reconstruction
Lessons from ethology for computational models of development
HLGSNet: Hierarchical and Lightweight Graph Siamese Network with Triplet Loss for fMRI-based Classification of ADHD
A hybrid HMM-neural network with gradient descent parameter training
Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity
FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning
Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers
Improving Neural Network Learning Through Dual Variable Learning Rates
Spatial knowledge transfer between models of hippocampus and associative cortex
Penetration Testing of Cyber-Physical Attacks in Smart Grids Based on Partially Observable Markov Decision Process
Self-creating and adaptive learning of RBF networks: merging soft-competition clustering algorithm with network growth technique
Reinforcement Learning based Neural Architecture Search for Audio Tagging
Building pattern classifiers using convolutional neural networks
A neural network structure for detecting straight line segments
EMG signal classification using conic section function neural networks
Integrating Local & Global Features for Estimating Shortest-path Distance in Large-scale Graphs
Selecting the hypothesis space for improving the generalization ability of Support Vector Machines
Identification of Feature-Salience
A Novel Training Strategy for Deep Learning Model Compression Applied to Viral Classifications
Cooperative coevolution of feed forward neural networks for financial time series problem
Neural Dynamic Logic of Consciousness: the Knowledge Instinct
Active learning support vector machines to classify imbalanced reservoir simulation data
Diversity analysis in collaborative clustering
Perception space analysis: From color vision to odor perception
High level data classification based on network entropy
An investigation of the hoeffding adaptive tree for the problem of network intrusion detection
Frequency maps reveal the correlation between Adversarial Attacks and Implicit Bias
Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit
A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning
Backpropagation representation theorem using power series
Learning informative features for spatial histogram-based object detection
Image-to-Image Retrieval Using Computationally Learned Bases and Color Information
Improving Expressivity of Graph Neural Networks
A randomized neural network for data streams
Predicting Concept Drift in Data Streams Using Metadata Clustering
Efficient Neural Architecture for Text-to-Image Synthesis
Morphological perceptrons
RAR: A Refined-Attitude Reasoning Framework on LLMs for Zero Shot Stance Detection
Cross-Frame Integrated Prediction for Feature-Space Video Compression
Sparse Distributed Representations for Words with Thresholded Independent Component Analysis
Improving the Identification of Residential Loads Using Deep Transfer Learning Feature Extraction: A Comparative Analysis
Expanding the View: A Frequency-Aware Network with Large Receptive Field for Super-Resolution
Random Projection Neural Network Approximation
Optimising traffic lights with metaheuristics: Reduction of car emissions and consumption
Brains as naturally emerging turing machines
Cortico-basal ganglia functional connectivity investigated with transcranial magnetic stimulation
Manufacturing Domain QA with Integrated Term Enhanced RAG
Dynamic Similarity Weighted Regression
Direct heuristic dynamic programming with augmented states
ContourFormer: Real-Time Contour-Based End-to-End Instance Segmentation Transformer
Neural network based threat assessment for automated visual surveillance
Does Social Media Feed Tell about Your Mental State? A Deep Randomised Neural Network Approach
Layered_CasPer: Layered cascade artificial neural networks
Differentially Private FastSHAP for Federated Learning Model Explainability
Data Augmentation for Histopathological Images Based on Gaussian-Laplacian Pyramid Blending
Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention
Improved image super-resolution by Support Vector Regression
An Explainable Tool to Support Age-related Macular Degeneration Diagnosis
Nano VS: a Neural Perception Layer for Fully Onboard Visual Semantic Mapping on Tiny Robots
About biologically plausible trajectory generators
iWalk: Interest-Aware Random Walk for Network Embedding
A novel adaptive algorithm for the blind separation of periodic sources
Improved Deep Learning Based ECG Classification through Automated Feature Selection and Weighted Loss Function
Finite convergence of the learning algorithms for a modified multi-valued neuron
YOLO-fungi: Detection Method for the Growth Stages of Edible Fungi under Complex Environments
Decision tree assisted EKF for vehicle slip angle estimation using inertial motion sensors
A Multi-Task Learning Approach for Recommendation based on Knowledge Graph
A Domain-Adaptive Framework for Constructing Eventic Graphs
Morphological extreme learning machines applied to detect and classify masses in mammograms
VMC-UNet: A U-shaped structure combining Mamba and CNN for medical image segmentation
A new backpropagation learning algorithm
Hybrid classification with partial models
A Count-sketch to Reduce Memory Consumption when Training a Model with Gradient Descent
Label Semantics for Robust Hyperspectral Image Classification
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation
Machine Learning Approaches for Predicting the 10.7 cm Radio Flux from Solar Magnetogram Data
On sparsity-exploiting memory-efficient trust-region regularized nonlinear least squares algorithms for neural-network learning
CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters
Reinforcement Learning for Topographic Mappings
Optimization-based computation with spiking neurons
Retina-inspired Visual Module for Robot Navigation in Complex Environments
Evolving granular neural network for fuzzy time series forecasting
An experimental evaluation of pairwise adaptive support vector machines
The robustness of relaxation rates in constraint satisfaction networks
Emergence of Language-Specific Phoneme Classifiers in Self-Organized Maps
Information Scaling Distillation Network for Lightweight Single Image Super-Resolution
Hiding All Labels for Multi-label Images: An Empirical Study of Adversarial Examples
An inductive semi-supervised learning approach for the Local and Global Consistency algorithm
Parallel Semiparametric Support Vector Machines
Heartbeat Anomaly Detection using Adversarial Oversampling
Computational Intelligence and Adaptation in VANETs: Current Research and New Perspectives
RanAT4BIE: Random Adversarial Training for Biomedical Information Extraction