yusuke1997/dblp-id-title huggingface dataset:
Optimal Learning Rates for Some Principal Component Analysis Algorithms
Random forest based adaptive non-intrusive load identification
Influence of parameter deviations in an associative chaotic neural network
Nonextensive entropy and regularization for adaptive learning
Nonlinear systems identification via two types of recurrent fuzzy CMAC
Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning
Self-repairing mobile robotic car using astrocyte-neuron networks
A method to extract non-linear principal components of large datasets - an application in skill transfer
Deep Learning Architecture for Group Activity Recognition using Description of Local Motions *
Comparison of loss functions for linear regression
Comparing Kernels for Predicting Protein Binding Sites from Amino Acid Sequence
Granular multiple birth support vector machine based on weighted linear loss
Boosting Semi-Supervised Specific Emitter Identification with Curriculum Triple Consistency Regularization
Parametric identification of stochastic interaction networks
Stochastic Trajectory Prediction via Brownian LSTM Network
A bio-inspired SOSNN model for object recognition
Localizing and Exploiting Concept Areas in LLMs for Downstream Classification Tasks
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
Multinomial Squared Direction Cosines Regression
Selecting software reliability models with a neural network meta classifier
Biologically Inspired Hardware Implementation of Neural Networks with Programmable Conductance
Constructive neural network in model-based control of a biotechnological process
Threshold-based multi-thread EM algorithm
A Structured Context Model for Grammar Learning
Feature extraction for neural-fuzzy inference system
ST-PINN: A Self-Training Physics-Informed Neural Network for Partial Differential Equations
MS-DDNet: Efficient Multi-Scale Dual Decoder Network for Ultrasound Thyroid Nodule Segmentation
Virtual synaptic interconnect using an asynchronous network-on-chip
DALFNet: A Lightweight Multimodal Fusion Network for Object Detection in In-Vehicle Scenarios with Depth Enhancement
Informative Instance Detection for Active Learning on Imbalanced Data
A Relation-Aware Span-Level Transformer Network for Joint Entity and Relation Extraction
Visual, linguistic data mining using Self- Organizing Maps
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars
Controlling orthogonality constraints for better NMF clustering
Multi-level Information Fusion for Group Activity Recognition Using the Banzhaf Power Index
Machine learning with incomplete datasets using multi-objective optimization models
A new condition for the global robust exponential periodicity of interval neural networks with delays
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension
C. elegans chemotaxis inspired neuromorphic circuit for contour tracking and obstacle avoidance
Fast classifier learning under bounded computational resources using Partitioned Restricted Boltzmann Machines
Incorporating Lexicons into LSTM for Sentiment Classification
DPEE: A Dual-Prompt Framework for Overlapping and Nested Event Extraction
IARNet: An Information Aggregating and Reasoning Network over Heterogeneous Graph for Fake News Detection
A VLSI architecture for high-performance, low-cost, on-chip learning
A local Latent Semantic Analysis-based kernel for document similarities
TLS linear prediction with optimum root selection for resolving closely space sinusoids
Octree-based Convolutional Autoencoder Extreme Learning Machine for 3D Shape Classification
Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model
Local Propagation in Constraint-based Neural Networks
Longitudinal control of hypersonic vehicles based on direct heuristic dynamic programming using ANFIS
Neural spiking dynamics in asynchronous digital circuits
Temporal context as cortical spatial codes
Building a cheaper artificial brain
GPU-based State Adaptive Random Forest for Evolving Data Streams
How balance between LTP and LTD can be controlled in spike-timing-dependent learning rule
Selective enhancement learning in competitive learning
Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated Annealing
Additive Margin SincNet for Speaker Recognition
Conditional Wasserstein GAN for Energy Load Forecasting in Large Buildings
Short Term Memory Phenomena in an Autosynaptic Neuron
A CMOS chaotic Boltzmann machine circuit and three-neuron network operation
A Multi-Agent Deep Reinforcement Learning Framework for VWAP Strategy Optimization
A low cost pattern classifier based on coding techniques
Learning Hierarchical Semantic Information for Efficient Low-Light Image Enhancement
General meta-learning paradigm based on prior-models, meta-model, meta-algorithm, and few-shot-base-model
Impact of struck-out text on writer identification
Measuring hallucination in disentangled representations
Density-dependent quantized kernel least mean square
Boosting Zero-Shot Generalization Performance of Constructive NCO Approaches for Large-Scale TSP
Energy generalized LVQ with relevance factors
Infrared and Visible Image Fusion Based on Multiscale Network with Dual-channel Information Cross Fusion Block
An Electronic Neuron with Input-Specific Spiking
Achieving 3D Attention via Triplet Squeeze and Excitation Block
Generalization Self-distillation with Epoch-wise Regularization
Complex-valued neural networks: The merits and their origins
A Novel End-to-End Multiple Tagging Model for Knowledge Extraction
Analysis of signal separation and signal distortion in feedforward and feedback blind source separation based on source spectra
HIM-RAG: A Heuristic Framework for Iterative Multi-Source Retrieval-Augmented Generation
Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier
Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model
Few-Shot Learning for Postnatal Gestational Age Estimation
Generalized Gaze-Vector Estimation in Low-light with Encoded Event-driven Neural Network
Speaker recognition based on SOINN and incremental learning Gaussian mixture model
DiTAGInt: A Diffusion-Based Transformer Network with Augmented-Graph Embedding Integration for Cross-Domain Sequential Recommendation
Improving Aspect Sentiment Triplet Extraction with Perturbed Masking and Edge-Enhanced Sentiment Graph Attention Network
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine
A hardware-efficient multi-compartment soma-dendrite model based on asynchronous cellular automaton dynamics
A feature_core and SVM-based algorithm for identification of bioprocess-specific genome features
Climatic data neural representation for large territorial extensions: Case study for the State of Minas Gerais
Black-box Evolutionary Search for Adversarial Examples against Deep Image Classifiers in Non-Targeted Attacks
Extend Single-agent Reinforcement Learning Approach to a Multi-robot Cooperative Task in an Unknown Dynamic Environment
Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva
An autonomous multi-feature selective attention neural network model
FA-IATI: A Framework of Frequency Adaptive and Iterative Attention Interaction for Image-Text Matching
Body area segmentation from visual scene based on predictability of neuro-dynamical system
Exomoon localization in simulations using YOLO
Recursive Feature Extraction for Ordinal Regression
Deep CNN-based Visual Target Tracking System Relying on Monocular Image Sensing
Identification of minimal timespan problem for recurrent neural networks with application to cyclone wind-intensity prediction
The K-Winner Machine Model
Quantum-Inspired Neural Architecture Search
A Q-Learning-Based Opportunistic Routing Protocol for Energy-Efficient and Secure UASNs
MAGCN: A Multi-Adaptive Graph Convolutional Network for Traffic Forecasting
Sparse kernel density estimation technique based on zero-norm constraint
HEMS:Heterogeneous Model Splitting Strategies Under Cross-Domain Computing Power Distribution
Adaptive perception with locally-adaptable sensor array
Classification through hierarchical clustering and dimensionality reduction
An Analog-Digital Hybrid CMOS Circuit for Two-Dimensional Motion Detection with Correlation Neural Networks
Semantic Extraction for Sentence Representation via Reinforcement Learning
Fast digital watermarking of uncompressed colored images using bidirectional extreme learning machine
Non-negative Structured Pyramidal Neural Network for Pattern Recognition
Test time augmentation by regular shifting for deep denoising autoencoder networks
A self generating neural architecture for data analysis
Neural Networks for Novelty Detection in Airframe Strain Data
Exploiting ResNeXt with Convolutional Shortcut for Signal Modulation Classification at Low SNRs
Machine Learning for Wind Power Forecasting
Attention-based Adversarial Training for Seamless Nudity Censorship
Observations of Olfactory Information Flows within Brain of the Terrestrial Slug, Inciralia fruhstorferi
Data-Aware Declarative Process Mining for Malware Detection
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
Massively parallel learning of Bayesian networks with MapReduce for factor relationship analysis
Knowledge-based document embedding for cross-domain text classification
Design of kernels for support multivector machines involving the Clifford geometric product and the conformal geometric neuron
Pseudo Value Network Distillation for High-Performance Exploration
Factor Analysis for Geophysical Signal Processing with Seismic Profiles
JPEGs Just Got Snipped: Croppable Signatures Against Deepfake Images
Progressive Multifaceted Dynamic Hypergraph Convolutional Network Model for Traffic Flow Prediction
Unsupervised learning of dependencies between local luminance and contrast in natural images
Using Negative Detectors for Identifying Adversarial Data Manipulation in Machine Learning
Random fourier feature kernel recursive least squares
Dynamic Modeling of Patient Vital Signs: Leveraging Markov Chain Principles with Neural Networks for Irregular Time-Series Prediction
ESSDB-GCN: Enhanced Syntactic and Semantic Dual-Branch Graph Convolutional Network for Aspect Sentiment Triple Extraction
A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing
Exploring the relationship between degrees of self similarity and altered driving states
Research on Inversion Algorithm of the Power Transmission Corridor Information Based on Radar Ranging
Hyperellipsoidal neuron
Particle swarm optimization of feedforward neural networks for the detection of drowsy driving
Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation
Reconfigurable N-level memristor memory design
A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs
Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform
Spatial Map Learning with Self-Organizing Adaptive Recurrent Incremental Network
Low rank sequential subspace clustering
On axon delay functions and spiking activity
A training algorithm for SpikeProp improving stability of learning process
A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data
Self-Supervised Deep Correlational Multi-View Clustering
A new weight initialization method for sigmoidal feedforward artificial neural networks
Highway traffic forecasting by support vector regression model with tabu search algorithms
Multi-scale Stepwise Training Strategy of Convolutional Neural Networks for Diabetic Retinopathy Severity Assessment
GPC scheme for the Internet-based teleoperation
Graph-Aware Collaborative Filtering for Top-N Recommendation
Nanoelectronic neuromorphic networks (CrossNets): new results
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression
What You Get is More Than What You See - or Less - in Models of Human Decision Making
Boosting Transferability of Decision-based Sampling Batch Attack Using Skeleton Feature
SVR-based approach to improve active sonar detection in reverberation
Efficient training techniques for classification with vast input space
EvSegSNN: Neuromorphic Semantic Segmentation for Event Data
A Hybrid Fuzzy Q-learning algorithm for robot navigation
OA-SORT: Improving Multi-Object Tracking Performance with Occlusion Aware ViT and Adaptive Appearance Update
Fuzzy integral for a rapid mixture of support vector machines
AIFENet: Attention-Induced Feature Enhancement Network for Infrared Small Target Detection
EEG signal analysis for BCI application using fuzzy system
Assistive System for Navigating Complex Realistic Simulated World Using Reinforcement Learning
Off-line English and Chinese signature identification using foreground and background features
Theta theory: Requirements for encoding events and task rules explain theta phase relationships in hippocampus and neocortex
A Region of Interest Based Image Segmentation Method using a Biologically Motivated Selective Attention Model
Scaling of back-propagation training time to large dimensions
Existence of Periodic Solutions for the Discrete-Time Counterpart of a Complex-Valued Hopfield Neural Network with Time-Varying Delays and Impulses
A method for automatic adjustment of ensemble size in stream data mining
Greedy multi-class label propagation
The effects of neuromodulation on human-robot interaction in games of conflict and cooperation
Z splitting criterion for growing trees and boosting
Integrative computing method for the prediction of zinc-binding sites in proteins
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness
Dream2Drive: A Large Language Model Powered Agent for Real World Multi-task Vehicle Motion Planning
Residual Adaptive Dense Weight Attention Network for Single Image Super-Resolution
Dual threshold based neural modeling to study systems of spiking neurons
Data-to-Text Generation with Attention Recurrent Unit
Improving k-Means Clustering Performance with Disentangled Internal Representations
ECANodule: Accurate Pulmonary Nodule Detection and Segmentation with Efficient Channel Attention
A Small-Footprint Keyword Spotting Modeling with Novel Data Augmentation Methods
Feature selection via regularized trees
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach
Fully Automatic Dual-Guidewire Segmentation for Coronary Bifurcation Lesion
A hybrid vision system for detecting use of mobile phones while driving
Adaptive neural network controller for the flush material Belt Weigh Feeder
Multi-View Contrastive Parsing Network for Emotion Recognition in Multi-Party Conversations
Persuasion driven influence analysis in online social networks
Temporal pattern recognition using a spiking neural network with delays
Enhancing MP3 encoding by utilizing a predictive Complex-Valued Neural Network
Memristor models for chaotic neural circuits
Stochastic Temporal Difference Learning for Sequence Data
Towards An Unsupervised Deep Representations for Plant Species Recognition
A unified framework for the application and evaluation of different methods for neural parameter optimization
Cholinergic effects on spectral properties of spike trains in rat cortical neurons
An Improved Recurrent Neural Network Language Model for Programming Language
Approximating Aggregated SQL Queries with LSTM Networks
Sentiment classification using Comprehensive Attention Recurrent models
A Comparison of Graph Construction Methods for Semi-Supervised Learning
Progressive Learning Paradigms using the Parallel K-Iterations Fast Learning Artificial Neural Network
CaT: Cyclic-Accumulation Transformer for Lane Detection
Micro-states based dynamic brain connectivity in understanding the commonality and differences in gender-specific emotion processing
GazeFlow: Gaze Redirection with Normalizing Flows
Brain's internal mechanisms - a new paradigm
Interpretative Topic Categorization Via Deep Multiple Instance Learning
Neural networks and rule extraction for prediction and explanation in the marketing domain
Stability of linear programming neural network for problems with hypercube feasible region
Melody retrieval by self-organizing map with refractoriness
Meteorological classification of satellite imagery using neural network data fusion
KnowledgeIE: Unifying Online-Offline Distillation based on Knowledge Inheritance and Evolution
T 2 CT: Transformer-CTC Adaptive Framework for Continuous Sign Language Recognition
Innovation Hierarchy Based Patent Representation Model
Sunspot number prediction by a conditional distribution discrimination tree
From lung images to lung models: A review
ICA of Complex Valued Signals: A Fast and Robust Deflationary Algorithm
Communicated somatic markers benefit both the individual and the species
Novel Category Discovery Across Domains with Contrastive Learning and Adaptive Classifier
Traffic engineering in multi-service networks comparing genetic and simulated annealing optimization techniques
Complex hybrid models combining deterministic and machine learning components as a new synergetic paradigm in numerical climate modeling and weather prediction
A Novel Recurrent Neural Network Based Prediction System for Trading
A study on relationship between age and oddball-task difficulty on peak latency of P300
Recognizing visual composite in real images
Speaker Recognition and Braille Classification with a Physical Reservoir Computing System
Triplet Knowledge Distillation Networks for Model Compression
Neural network classification of event related potentials for the design of a new computer interface
Hybrid Neural Network
A Synthesis Method of Spiking Neural Oscillators with Considering Asymptotic Stability
Hybrid wavelet/neural network analysis of differences in functional brain images
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters
A global state driven cooling schema for simulated annealing used with Boltzman machine
Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition
Towards High-Resolution Face Pose Synthesis
Typicality distribution function - A new density-based data analytics tool
Adaptability of the backpropagation procedure
Pioneering Industrial Anomaly Detection with a Hierarchical LSTM-Rola Framework
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals
Constraints on the Design Process for Systems with Human Level Intelligence
Introducing Intermediate Domains for Effective Self-Training during Test-Time
Combining visual and proprioceptive information in a model of spatial learning and navigation
Performance of STLF model from the PSO, time series and regression perspectives
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations
Interpretation on Deep Multimodal Fusion for Diagnostic Classification
Unifying quality metrics for reservoir networks
Discovery of pattern meaning from delayed rewards by reinforcement learning with a recurrent neural network
Segmenting handwritten text using supervised classification techniques
Improved chaotic associative memory using distributed patterns for image retrieval
Class-wise deep dictionaries for EEG classification
Emergence of Scale-free Graphs in Dynamical Spiking Neural Networks
Online Probabilistic Model Identification Using Adaptive Recursive MCMC
On Gaussian random neuronal field model: Moment neuronal network approach
Learning by Ranking: Data-Efficient Knowledge Distillation from Black-Box LLMs for Information Retrieval
2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020
A Robust Ensemble Regression Model for Reconstructing Genetic Networks
Towards Roman Urdu Named Entity Recognition: Standardized Dataset and Transformer-Based Approaches
Reinforcement learning for hierarchical and modular neural network in autonomous robot navigation
RTOD-YOLO: Traffic Object Detection in UAV Images Based on Visual Attention and Re-parameterization
A neural network controller based on the rule of bang-bang control
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode
Data-free Black-box Knowledge Amalgamation
Data-Driven Preference Sampling for Pareto Front Learning
A Hybrid Sampling Method Based on Safe Screening for Imbalanced Datasets with Sparse Structure
An improved SOM-based visualization technique for DNA microarray data analysis
Deep Active Learning for Anomaly Detection
Label Noise Robust Curriculum for Deep Paraphrase Identification
Variational Bayes Inference for Generalized Associative Functional Networks
Clustering and selection of neural networks using adaptive differential evolution
Neural network for LIDAR detection of fish
Leveraging Task Dependencies and Label Constraints for Legal Judgment Prediction
Synchronization patterns eenerated in a ring of cross-coupled chaotic circuits
CPF6D: 6DoF Pose Estimation Net based on Context Part Fusion for Robotic Grasping
PromptLTS: Text-Guided Controllable Speech Generation from Lip Movements
Similarity-based Image Retrieval by Self-Organizing Map with Refractoriness
Compressive Direction-of-Arrival Estimation via Regularized Multiple Measurement FOCUSS algorithm
Semantic extensions to the Vienna Neural Network Specification Language
Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks
Sparse similarity matrix learning for visual object retrieval
Using Winning Lottery Tickets in Transfer Learning for Convolutional Neural Networks
Learning eye movements strategies on tiled Large High-Resolution Displays using inverse reinforcement learning
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction
On the performance of Quaternionic Bidirectional Auto-Associative Memory
Computational intelligence and decision trees for missing data estimation
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors
Modeling Non-Individualized Binaural Sound Localization in the Horizontal Plane Using Artificial Neural Networks
Neural network applications in synthetic organic chemistry. I. A hybrid system which performs retrosynthetic analysis
Multicriteria clustering with weighted Tchebycheff distances for relational data
A fast optimized semi-supervised non-negative Matrix Factorization algorithm
Second-order backpropagation algorithms for a stagewise-partitioned separable Hessian matrix
On Machine Thinking
Optimization of Neural Networks with Multi-Objective LASSO Algorithm
SMO algorithm for least squares SVM
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering
Learning population of spiking neural networks with perturbation of conductances
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
Confidence-oriented Contrastive Graph Clustering
Evolving neural networks applied to predator-evader problem
Neural Surface Priors for Editable Gaussian Splatting
One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling
Long-term learning behavior in a recurrent neural network for sound recognition
WTHFL: Coarse- to Fine-Grained Hierarchical Feature Learning for Flood Forecasting