yusuke1997/dblp-id-title huggingface dataset:
The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part IV
Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation
An Online Incremental Learning Support Vector Machine for Large-scale Data
Support Vector Machines for Visualization and Dimensionality Reduction
Scalable Neural Networks for Board Games
Recognizing Facial Expressions: A Comparison of Computational Approaches
A Hierarchy Based Influence Maximization Algorithm in Social Networks
I 2 KD-SLU: An Intra-Inter Knowledge Distillation Framework for Zero-Shot Cross-Lingual Spoken Language Understanding
Architecture-Aware Bayesian Optimization for Neural Network Tuning
Empirically Explaining SGD from a Line Search Perspective
Action Potential Bursts Modulate the NMDA-R Mediated Spike Timing Dependent Plasticity in a Biophysical Model
Soft Subspace Growing Neural Gas for Data Stream Clustering
MIPCE: Generating Multiple Patches Counterfactual-Changing Explanations for Time Series Classification
Multi-scale Switching Linear Dynamical Systems
Diffusion Maps and Local Models for Wind Power Prediction
Efficient Long-Term Motion Feature Learning via Frequency-Based Key Frame Guidance for Action Recognition
Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model
Improved, Simpler Neural Controllers for Lamprey Swimming
Hybrid Encoder for Anomaly Detection Based on Latent Feature Regularization
Measuring the Angle of Hallux Valgus Using Segmentation of Bones on X-Ray Images
An Attention Based Similarity Measure for Colour Images
Using a General Purpose Meta Neural Network to Adapt a Parameter of the Quickpropagation Learning Rule
Artwork Retrieval Based on Similarity of Touch Using Convolutional Neural Network
Automatic Seizure Detection Incorporating Structural Information
Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set
Unconventional Face Adversarial Attack
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part I
Prediction Stability as a Criterion in Active Learning
An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data
HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity
An Attention-Based ID-CNNs-CRF Model for Named Entity Recognition on Clinical Electronic Medical Records
DeepRehab: Real Time Pose Estimation on the Edge for Knee Injury Rehabilitation
Dynamics of Reward Based Decision Making: A Computational Study
ECDet: A Real-Time Vehicle Detection Network for CPU-Only Devices
Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra Using Gradient Boosting
Delineation of Prostate Boundary from Medical Images via a Mathematical Formula-Based Hybrid Algorithm
Image Inpainting Based Multi-scale Gated Convolution and Attention
Entity-Aware Biaffine Attention for Constituent Parsing
Signed Graph Attention Networks
A Neural Approach to Image Thresholding
LSTM-MorA: Melody-Accompaniment Classification of MIDI Tracks
Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection
Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis
An Agent-Based PLA for the Cascade Correlation Learning Architecture
Dynamic Ensemble Selection and Instantaneous Pruning for Regression Used in Signal Calibration
Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods
Single Image Super-Resolution with Sequential Multi-axis Blocked Attention
Non-negative Kernel Sparse Coding for the Analysis of Motion Data
Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I
Topology Representing Networks for Intrinsic Dimensionality Estimation
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
On the Designing of Spikes Band-Pass Filters for FPGA
sNN-LDS: Spatio-temporal Non-negative Sparse Coding for Human Action Recognition
Modeling Human Operator Controlling Process in Different Environments
A Double Gradient Algorithm to Optimize Regularization
ℓ 1 -Penalized Linear Mixed-Effects Models for BCI
Fake Review Detection via Heterogeneous Graph Attention Network
An Improved Lightweight YOLOv5 for Remote Sensing Images
Fuzzy Model Identification Using Support Vector Clustering Method
A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia
Localization of Abnormal EEG Sources Incorporating Constrained BSS
Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model
Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios
Storage Capacity of Kernel Associative Memories
Region Expansion: Optimization of Patch-Fetching Method for Point Cloud Denoising
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines
A Two-Layer ICA-Like Model Estimated by Score Matching
Prior-SSL: A Thickness Distribution Prior and Uncertainty Guided Semi-supervised Learning Method for Choroidal Segmentation in OCT Images
Improving Weight Initialization of ReLU and Output Layers
Discrete Denoising Diffusion Approach to Integer Factorization
Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture
An Improved Convolutional Neural Network for Steganalysis in the Scenario of Reuse of the Stego-Key
Second-Order Conditioning in Mobile Robots
Discriminant Analysis by a Neural Network with Mahalanobis Distance
F-E Fusion: A Fast Detection Method of Moving UAV Based on Frame and Event Flow
Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive Mixture
Cortical Map Development Driven by Spontaneous Retinal Activity Waves
Enhancing Generalization in Convolutional Neural Networks Through Regularization with Edge and Line Features
Detecting and Measuring Higher Order Synchronization Among Neurons: A Bayesian Approach
Feature Selection for Neural-Network Based No-Reference Video Quality Assessment
Information Efficiency of the Associative Net at Arbitrary Coding Rates
Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima
Transductive Learning: Learning Iris Data with Two Labeled Data
Gradient-Boosted Based Structured and Unstructured Learning
Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes
Analysis of Wake/Sleep EEG with Competing Experts
Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks
A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot
A Brief Review and Comparison of Feedforward Morphological Neural Networks with Applications to Classification
Must Pinwheels Move During Visual Development?
Adaptively Learning Levels of Coordination from One's, Other's and Task Related Errors Through a Cerebellar Circuit: A Dual Cart-Pole Setup
Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation
DLUIO: Detecting Useful Investor Opinions by Deep Learning
Link Enrichment for Diffusion-Based Graph Node Kernels
Estimates of Network Complexity and Integral Representations
Time Series Clustering with Deep Reservoir Computing
Optimization of the Deflection Basin by Genetic Algorithm and Neural Network Approach
O-LGMD: An Opponent Colour LGMD-Based Model for Collision Detection with Thermal Images at Night
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors
Estimating Quantities: Comparing Simple Heuristics and Machine Learning Algorithms
On the Generalization of the m-Class RDP Neural Network
Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM
Learning Hierarchical Graph Convolutional Neural Network for Object Navigation
An Emotional Recognition Architecture Based on Human Brain Structure
A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction
Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network
Adaptive Feature Transformation for Image Data from Non-stationary Processes
HierNBeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting
Modeling Dst with Recurrent EM Neural Networks
Analysis for Characteristics of GA-Based Learning Method of Binary Neural Networks
End-to-End Large-Scale Image Retrieval Network with Convolution and Vision Transformers
SNPboost: Interaction Analysis and Risk Prediction on GWA Data
A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms
Masked Image Modeling as a Framework for Self-Supervised Learning Across Eye Movements
Projection Pursuit Constructive Neural Networks Based on Quality of Projected Clusters
Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning - -Beer Game as an Example-
Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VII
Estimation of Pointing Poses on Monocular Images with Neural Techniques - An Experimental Comparison
Statistical Characteristics of Deep Representations: An Empirical Investigation
Basic Feature Quantities of Digital Spike Maps
Sparse Attention Diffusion Model for Pathological Micrograph Deblurring
Simulating Biological-Inspired Spiking Neural Networks with OpenCL
Comparison of Methods for Community Detection in Networks
Exploring Local Transformation Shared Weights in Convolutional Neural Networks
Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II
A Relaxation Algorithm Influenced by Self-Organizing Maps
Mixing Different Search Biases in Evolutionary Learning Algorithms
Non-destructive Testing for Assessing Structures by Using Soft-Computing
Adaptive Noise Injection for Input Variables Relevance Determination
Manifold Learning for Visualization of Vibrational States of a Rotating Machine
High-Dimensional Surveillance
Contour Integration and Synchronization in Neuronal Networks of the Visual Cortex
Markov Chain Model Approximating the Hodgkin-Huxley Neuron
Trustworthy Learning with Noisy Labels
Independent Component Analysis for Domain Independent Watermarking
AgileIR: Memory-Efficient Group Shifted Windows Attention for Lightweight Image Restoration
Local Decimal Pattern for Pollen Image Recognition
Early Acoustic and Vision Cross-Modal Interaction Learning for Multimal Sentiment Analysis
Vague Neural Network Controller and Its Applications
Detecting Shot Transitions for Video Indexing with FAM
Axiomatic Kernels on Graphs for Support Vector Machines
Implementation of Siamese-Based Few-Shot Learning Algorithms for the Distinction of COPD and Asthma Subjects
Multi-agent FX-Market Modeling Based on Cognitive Systems
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines
One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction
Word Embeddings with Fuzzy Ontology Reasoning for Feature Learning in Aspect Sentiment Analysis
A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning Algorithm
An Explainable Feature Selection Approach for Fair Machine Learning
Clustering of Nonlinearly Separable Data Using Spiking Neural Networks
Joint Graph Contextualized Network for Sequential Recommendation
Cross Domain Evaluation of Text Detection Models
A Further Exploration of Deep Multi-Agent Reinforcement Learning with Hybrid Action Space
Learning Parameters of Linear Models in Compressed Parameter Space
An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials
FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification
Synthesis of Registered Multimodal Medical Images with Lesions
Information Processing and Timing Mechanisms in Vision
Distinguishing Violinists and Pianists Based on Their Brain Signals
Using Ontologies for Human-understandable Explanations of Black-box Models (Extended Abstract)
Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-processing of Recurrent Neural Networks
Gradient-Based Learning of Finite Automata
A New Probabilistic Neural Network for Fault Detection in MEMS
Wind Power Resource Estimation with Deep Neural Networks
Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data
Meta-STDP Rule Stabilizes Synaptic Weights Under in Vivo-like Ongoing Spontaneous Activity in a Computational Model of CA1 Pyramidal Cell
The Core Method: Connectionist Model Generation
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VI
Soft Computing Modeling of the Illegal Immigration Density in the Borders of Greece
Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning
Robust Cross-Validation Score Function for Non-linear Function Estimation
A Kernel Method for the Optimization of the Margin Distribution
UAV Detection: A STDP Trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach
Selective Tuning: Feature Binding Through Selective Attention
Implementation Issues of an Incremental and Decremental SVM
Adaptable Neural Networks for Unsupervised Video Object Segmentation of Stereoscopic Sequences
Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule
Feature Recalibration Network for Salient Object Detection
A Parameter in the Learning Rule of SOM That Incorporates Activation Frequency
Sequence-Based Modeling for Temporal Knowledge Graph Link Prediction
Gait Adaptation After Leg Amputation of Hexapod Walking Robot Without Sensory Feedback
A BCI System Based on Orthogonalized EEG Data and Multiple Multilayer Neural Networks in Parallel Form
Dendritic Computations in a Rall Model with Strong Distal Stimulation
Balanced Softmax Cross-Entropy for Incremental Learning
Cross Classroom Domain Adaptive Object Detector for Student's Heads
Accelerating Depthwise Separable Convolutions with Vector Processor
How to Face Unseen Defects? UDGAN for Improving Unseen Defects Recognition
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
The Parallelization and Optimization of K-means Algorithm Based on MGPUSim
Dynamics of ICA for High-Dimensional Data
FedInc: One-Shot Federated Tuning for Collaborative Incident Recognition
Weighted Self-Organizing Maps: Incorporating User Feedback
Learning Complex Population-Coded Sequences
A Novel Algorithm for Image Segmentation Using Time Dependent Interaction Probabilities
Masked Conditional Neural Networks for Audio Classification
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks
From Cognitive to Habit Behavior During Navigation, Through Cortical-Basal Ganglia Loops
GLFMamba-U: Global-Local Fused Mamba-Unet
Self-organized Reservoirs and Their Hierarchies
Multi-objective Pruning for CNNs Using Genetic Algorithm
Sparse Block DETR: Precise and Speedy End-to-End Detector for PCB Defect Detection
A Neural Network Implementation of Frank-Wolfe Optimization
The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis
GC-GAN: Photo Cartoonization Using Guided Cartoon Generative Adversarial Network
Efficient Real-Time On-Mobile Video Super-Resolution with Automatic Evolutionary Neural Architecture Search
Deep Feature Learning for Medical Acoustics
Lightweight Neural Programming: The GRPU
Kernel CMAC with Reduced Memory Complexity
TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement
Towards Persona-Oriented LLM-Generated Text Detection: Benchmark Dataset and Method
Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks
Frequency and Wavelet Filtering for Robust Speech Recognition
Spatio-Temporal Organization Map: A Speech Recognition Application
CPH DETR: Comprehensive Regression Loss for End-to-End Object Detection
Signal Processing by Neural Networks to Create "Virtual" Sensors and Model-Based Diagnostics
Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes
Kinematic Estimation with Neural Networks for Robotic Manipulators
Selecting Neural Networks for Making a Committee Decision
DCT: Differential Combination Testing of Deep Learning Systems
Feature Extractor Based Deep Method to Enhance Online Arabic Handwritten Recognition System
Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis
Training 1-Bit Networks on a Sphere: A Geometric Approach
Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling
25 Years of CNNs: Can We Compare to Human Abstraction Capabilities?
Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones
A Virtual Machine for Neural Computers
Deepfake Video Detection Exploiting Binocular Synchronization
Self-supervised Multi-view Clustering for Unsupervised Image Segmentation
Protein Sequence Classification Using Probabilistic Motifs and Neural Networks
Implementing Boolean Matrix Factorization
A Survey on Deep Transfer Learning
Learning Precise Spike Timings with Eligibility Traces
Emotional Text-to-Speech via Style Decoder with Emotion Shared Styleformer Block and RoPE Prior Encoder
Sentence Extraction by Graph Neural Networks
The Progressive Detectors and Discriminative Feature Descriptors Combining Global and Local Information
A Global Feature Fusion Network for Lettuce Growth Trait Detection
MAT-DQN: Toward Interpretable Multi-agent Deep Reinforcement Learning for Coordinated Activities
Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning
Indirect Differentiation of Function for a Network of Biologically Plausible Neurons
Analysis of Chaotic Dynamics Using Measures of the Complex Network Theory
Episodic Memory: A Connectionist Interpretation
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks
Balancing Guidance Range and Strength Optimizes Self-organization by Silicon Growth Cones
A Generalizable Context-Aware Deep Learning Model for Abusive Language Detection
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)
Decomposition Methods for Detailed Analysis of Content in ERP Recordings
A Recurrent Self-Organizing Map for Temporal Sequence Processing
A New GHSOM Model Applied to Network Security
Selection of Optimal Cutting Conditions by Using the Genetically Optimized Neural Network System (GONNS)
Learning Long Term Dependencies with Recurrent Neural Networks
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes
FPGA Implementation of a Network of Neuronlike Adaptive Elements
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IX
SEE-1 - A Vision System for Use in Real World Environments
Tunable Oscillatory Network for Visual Image Segmentation
Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View
1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation
Statistical Parameter Identification of Analog Integrated Circuit Reverse Models
Analogical Inferences in the Family Trees Task: A Review
Empirical Study of Data-Free Iterative Knowledge Distillation
Interactive Area Topics Extraction with Policy Gradient
Multiple Pattern Generations and Chaotic Itinerant Dynamics in Reservoir Computing
A Parameter-Free Non-Growing Self-Organizing Map Based upon Gravitational Principles: Algorithm and Applications
A Fuzzy Approach to Some Set Approximation Operations
Weight-Aware Graph Contrastive Learning
Decoupled Representation Network for Skeleton-Based Hand Gesture Recognition
Elliptical Basis Function Networks for Classification Tasks
Learning to Generate Textual Adversarial Examples
A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks
FPGA Implementation of an Adaptable-Size Neural Network
Latent Dynamics for Artefact-Free Character Animation via Data-Driven Reinforcement Learning
Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG
Evaluating the Effect of Spiking Network Parameters on Polychronization
DartsReNet: Exploring New RNN Cells in ReNet Architectures
Adaptive Knowledge Distillation for Efficient Relation Classification
Co-learning and the Development of Communication
Quantum Perceptron Network
Market Modeling Based on Cognitive Agents
Force Feedback Control of an Assembly Robot by Neural Networks
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment
Competitive Repetition-suppression (CoRe) Learning
Automatic Estimation of Dog Age: The DogAge Dataset and Challenge
The Authentication System for Multi-modal Behavior Biometrics Using Concurrent Pareto Learning SOM
Multi-task Sparse Regression Metric Learning for Heterogeneous Classification
Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application
Learning Inverse Kinematics via Cross-Point Function Decomposition
A Generalized Meta-loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression
Application of the MEC Network to Principal Component Analysis and Source Separation
Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning
Self-adapted Positional Encoding in the Transformer Encoder for Named Entity Recognition
Predicting Bad Credit Risk: An Evolutionary Approach
Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models
Stimulates Potential for Knowledge Distillation
Historical Consistent Complex Valued Recurrent Neural Network
Properties of the Hopfield Model with Weighted Patterns
A Bio-inspired Architecture of an Active Visual Search Model
Attractor Dynamics Drive Flexible Timing in Birdsong
A Neural Network for Semi-supervised Learning on Manifolds
CoT-BERT: Enhancing Unsupervised Sentence Representation Through Chain-of-Thought
Risk Management Application of the Recurrent Mixture Density Network Models
Whisker Analysis Framework for Unrestricted Mice with Neural Networks
On the Variants of the Self-Organizing Map That Are Based on Order Statistics
Terrain Classification with Crawling Robot Using Long Short-Term Memory Network
Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets
Emerging Bayesian Priors in a Self-Organizing Recurrent Network
APF-DQN: Adaptive Objective Pathfinding via Improved Deep Reinforcement Learning Among Building Fire Hazard
Making a Reinforcement Learning Agent Believe
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Missing Data Imputation via Neighbor Data Feature-Enriched Neural Ordinary Differential Equations
C4.5 or Naive Bayes: A Discriminative Model Selection Approach
Construction by Autonomous Agents in a Simulated Environment
From Maxout to Channel-Out: Encoding Information on Sparse Pathways
Small Transformer Architectures for Task Switching
A Neurofuzzy Controller for a Single Link Flexible Manipulator
Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration