yusuke1997/dblp-id-title huggingface dataset:
Negative Edge Prediction for Attributed Graph Clustering
Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks
Unsupervised Anomaly Detection with a GAN Augmented Autoencoder
An Efficient Blurring-Reconstruction Model to Defend Against Adversarial Attacks
RDIF: Infrared and Visible Image Fusion Based on Reverse Cross-Attention and Diffusion Model
Fast Supervised Selection of Prototypes for Metric-Based Learning
Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging
DialGACL: Nonlinear Graph Attention Reasoning with Contrastive Learning for Complex Dialogue Fact Verification
Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain
A Comparison of the Electric Potential through the Membranes of Ganglion Neurons and Neuroblastoma Cells
Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation
Echo State vs. LSTM Networks for Word Sense Disambiguation
Hessian Corrected Input Noise Models
Flow2Seg: Motion-Aided Semantic Segmentation
Building High Performant Classifiers by Integrating Bayesian Learning, Mutual Information and Committee Techniques - A Case Study in Time Series Prediction
Componentwise Adversarial Attacks
Gated Variable Selection Neural Network for Multimodal Sleep Quality Assessment
A Local Connected Neural Oscillator Network for Pattern Segmentation
End-to-End Spiking Neural Network for Speech Recognition Using Resonating Input Neurons
Morphological Computation of Skin Focusing on Fingerprint Structure
Statistics of Natural and Urban Images
Effective Pruning Method for a Multiple Classifier System Based on Self-Generating Neural Networks
Loading Temporal Associative Memory Using the Neuronic Equation
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion
Hammerstein Model Identification Using Radial Basis Functions Neural Networks
Capacity of Structured Multilayer Networks with Shared Weights
Predicting City Origin-Destination Flow with Generative Pre-training
Neural Dynamics Based Exploration Algorithm for a Mobile Robot
DRENet: Giving Full Scope to Detection and Regression-Based Estimation for Video Crowd Counting
A Topological Hierarchical Clustering: Application to Ocean Color Classification
Models of Orthogonal Type Complex-Valued Dynamic Associative Memories and Their Performance Comparison
Event-Based Hand Detection on Neuromorphic Hardware Using a Sigma Delta Neural Network
Knowledge Distillation with Feature Enhancement Mask
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction
A Deep Learning Approach for Sentence Classification of Scientific Abstracts
Temporal Sound Processing by Cochlear Nucleus Octopus Neurons
Structure Learning with Nonparametric Decomposable Models
Hair Transfer with Efficient Heuristic Chain of Editing
Hopfield Networks for Vector Quantization
Dynamic Knowledge Representation in Connectionist Systems
PSP-MVSNet: Deep Patch-Based Similarity Perceptual for Multi-view Stereo Depth Inference
TextNet for Text-Related Image Quality Assessment
Deep Learning for Emotion Recognition in Faces
Saccade Control through the Collicular Motor Map: Two-Dimensional Neural Field Model
Exploring Deep Learning Architectures for Localised Hourly Air Quality Prediction
High-Resolution Generative Adversarial Neural Networks Applied to Histological Images Generation
An Unsupervised Learning Rule for Class Discrimination in a Recurrent Neural Network
Neural Paraphrase Generation with Multi-domain Corpus
Improving Transfer Learning in Unsupervised Language Adaptation
Dynamics of Discrete-Time Quaternionic Hopfield Neural Networks
Statistical Instance-Based Ensemble Pruning for Multi-class Problems
GLUNet: Global-Local Fusion U-Net for 2D Medical Image Segmentation
Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner
Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation
An Oscillatory Model for Multimodal Processing of Short Language Instructions
Improved Multi-hop Reasoning Through Sampling and Aggregating
Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses
Using Kernel Basis with Relevance Vector Machine for Feature Selection
SCST: Spatial Consistent Swin Transformer for Multi-focus Biomedical Microscopic Image Fusion
GAN-Based Planning Model in Deep Reinforcement Learning
Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons
ARTMAP-DS: Pattern Discrimination by Discounting Similarities
Improving the Convergence Property of Soft Committee Machines by Replacing Derivative with Truncated Gaussian Function
A Hybrid MLP-PNN Architecture for Fast Image Superresolution
Pacesetter Learning for Large Scale Cooperative Multi-Agent Reinforcement Learning
Solar Power Forecasting Using Pattern Sequences
Constrained Learning Vector Quantization or Relaxed k-Separability
Reinforcement Learning with Memory Based Automatic Chunking for Complex Skill Acquisition
Investigating Efficient Learning and Compositionality in Generative LSTM Networks
Improving ANNs Performance on Unbalanced Data with an AUC-Based Learning Algorithm
A Novel Continuous Dual Mode Neural Network in Stereo-Matching Process
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
Speculative Dynamics in a Heterogeneous-Agent Model
Towards Autonomous Robot Control via Self-Adapting Recurrent Networks
Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I
Restricted Reservoirs on Heterogeneous Timescales
Semi-supervised Learning for Regression with Co-training by Committee
Concurrent Parallel-Sequential Processing in Gamma Controlled Cortical-Type Networks of Spiking Neurones
Playing the Large Margin Preference Game
Systematic Comparison of Incomplete-Supervision Approaches for Biomedical Image Classification
Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network
Spatio-Temporal Pattern Recognition with Neural Networks: Application to Speech
Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples
Mid Roll Advertisement Placement Using Multi Modal Emotion Analysis
GaitFusion: Exploring the Fusion of Silhouettes and Optical Flow for Gait Recognition
New Results on Ensembles of Multilayer Feedforward
Analysis of Human Brain NMR Spectra in Vivo Using Artificial Neural Networks
PA-RetinaNet: Path Augmented RetinaNet for Dense Object Detection
A Graph Convolutional Siamese Network for the Assessment and Recognition of Physical Rehabilitation Exercises
A Topological k-Anonymity Model Based on Collaborative Multi-view Clustering
Learning Compatibility Functions for Feature Binding and Perceptual Grouping
Self-Organizing Maps for Improving the Channel Estimation and Predictive Modelling Phase of Cognitive Radio Systems
Effective Input Variable Selection for Function Approximation
Fostering Event Compression Using Gated Surprise
An Improved Method of Applying a Machine Translation Model to a Chinese Word Segmentation Task
Echo State Networks with Sparse Output Connections
A Model of Basal Ganglia in Saccade Generation
Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron
A Biologically Motivated System for Unconstrained Online Learning of Visual Objects
Exponential Transients in Continuous-Time Symmetric Hopfield Nets
Image Segmentation Using Watershed Transform and Feed-Back Pulse Coupled Neural Network
Accelerating RBF Network Simulation by Using Multimedia Extensions of Modern Microprocessors
The Principle of Weight Divergence Facilitation for Unsupervised Pattern Recognition in Spiking Neural Networks
Multi-relation Identification for Few-Shot Document-Level Relation Extraction
Deep Recurrent Neural Networks with Nonlinear Masking Layers and Two-Level Estimation for Speech Separation
Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks
Object Detector with Recursive Feature Pyramid and Key Content-Only Attention
Adaptive Online Domain Incremental Continual Learning
Wavelet Frames Based Estimator
Connectionist Modeling of Linguistic Quantifiers
Adaptive Dehazing YOLO for Object Detection
Model Complexity of Neural Networks and Integral Transforms
Learning Similarity Measures from Pairwise Constraints with Neural Networks
Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error
A Strategy for Referential Problem in Low-Resource Neural Machine Translation
Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns
Empowering Imbalanced Data in Supervised Learning: A Semi-supervised Learning Approach
Guiding the Comparison of Neural Network Local Robustness: An Empirical Study
A CBL Network Model with Intracortical Plasticity and Natural Image Stimuli
Probabilistic Neural Networks with Rotated Kernel Functions
SkaNet: Split Kernel Attention Network
Perceptual Binding by Coupled Oscillatory Neural Network
Neuromorphic Approach Sensitivity Cell Modeling and FPGA Implementation
Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks
ECG Signal Classification Using GAME Neural Network and Its Comparison to Other Classifiers
Data Fusion and Auto-fusion for Quantitative Structure-Activity Relationship (QSAR)
GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection
Limited Information Opponent Modeling
An Untrained Neural Model for Fast and Accurate Graph Classification
Improving MDLSTM for Offline Arabic Handwriting Recognition Using Dropout at Different Positions
Neuro-Optimal Controller for Robot Manipulators
Expert Mixture Methods for Adaptive Channel Equalization
Spatial Attention Network for Few-Shot Learning
Synaptic Rewiring for Topographic Map Formation
A Reservoir Computing Framework for Continuous Gesture Recognition
Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks
VDCNet: A Vulnerability Detection and Classification System in Cross-Project Scenarios
SparWR: A Lightweight Architecture for Medical Grayscale Image Super-Resolution
Mixture of Probabilistic Factor Analysis Model and Its Applications
Extracting Coactivated Features from Multiple Data Sets
Selection of Basis Functions Guided by the L2 Soft Margin
Generalized Relevance LVQ for Time Series
Syntax-Aware Complex-Valued Neural Machine Translation
Monotone Deep Spectrum Kernels
Relative Intrinsic Dimensionality Is Intrinsic to Learning
Calcium Responses Model in Striatum Dependent on Timed Input Sources
Histogram Based Color Reduction through Self-Organized Neural Networks
Complex-Valued Independent Component Analysis of Natural Images
Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations
Learning on Graphs in the Game of Go
Boundary Attentive Spatial Multi-scale Network for Cardiac MRI Image Segmentation
Building Efficient Deep Hebbian Networks for Image Classification Tasks
IQNN: Training Quantized Neural Networks with Iterative Optimizations
Modal Fusion-Enhanced Two-Stream Hashing Network for Cross Modal Retrieval
Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem
Transferring Reservoir Computing: Formulation and Application to Fluid Physics
A Geometric Bio-inspired Model for Recognition of Low-Level Structures
Projective Nonnegative Matrix Factorization with α-Divergence
Representing Images with chi 2 Distance Based Histograms of SIFT Descriptors
Tuning Deep Neural Network's Hyperparameters Constrained to Deployability on Tiny Systems
Transfer Information Energy: A Quantitative Causality Indicator Between Time Series
CKEN: Collaborative Knowledge-Aware Enhanced Network for Recommender Systems
Feature Selection Based on Kernel Discriminant Analysis
Efficient and Accurate Text Detection Combining Differentiable Binarization with Semantic Segmentation
A Novel Connectionist-Oriented Feature Normalization Technique
Integration of Metric Place Relations in a Landmark Graph
A Framework for Application-Oriented Design of Large-Scale Neural Networks
A Neural Model for Delay Correction in a Distributed Control System
Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs
Does Morphology Influence Temporal Plasticity?
Multi-task Pre-training for Lhasa-Tibetan Speech Recognition
PTSTEP: Prompt Tuning for Semantic Typing of Event Processes
Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs
Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System
A Neurocomputational Model of an Imitation Deficit Following Brain Lesion
Jointly Learning to Detect Emotions and Predict Facebook Reactions
Adversarial Defense via Attention-Based Randomized Smoothing
A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence
Graph-Guided Multi-view Text Classification: Advanced Solutions for Fast Inference
A New Tree Kernel Based on SOM-SD
Neural Network Model Recalling Spatial Maps
Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks
Nonlinear Modelling of the Daily Heart Rhythm
Continuous Blood Pressure Estimation Through Optimized Echo State Networks
PO-DARTS: Post-optimizing the Architectures Searched by Differentiable Architecture Search Algorithms
SSA, SVD, QR-cp, and RBF Model Reduction
Multi-fusion Recurrent Network for Argument Pair Extraction
The Power of Max Pooling Layer
Cross Attention with Deep Local Features for Few-Shot Image Classification
Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models
Optimizing Hierarchical Temporal Memory for Multivariable Time Series
Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part II
Evaluating Users' Satisfaction in Packet Networks Using Random Neural Networks
Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks
CIA-Net: Cross-Modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection
Computing with Probabilistic Cellular Automata
Day-ahead PV Power Forecast by Hybrid ANN Compared to the Five Parameters Model Estimated by Particle Filter Algorithm
Bistable Perception in Conceptor Networks
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Carbon Price Forecasting with LLM-Based Refinement and Transfer-Learning
Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis
On Practical Approach to Uniform Quantization of Non-redundant Neural Networks
Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures
Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes
A Dynamic Ensemble Learning Framework for Data Stream Analysis and Real-Time Threat Detection
BiFAT: Bilateral Filtering and Attention Mechanisms in a Two-Stream Model for Deepfake Detection
DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull Distributions
Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part VIII
EDPS-SST: Enhanced Dynamic Path Stitching with Structural Similarity Thresholding for Large-Scale Medical Image Stitching Under Sparse Pixel Overlap
STGATP: A Spatio-Temporal Graph Attention Network for Long-Term Traffic Prediction
Comparative Analysis of Chemical Structure String Representations for Neural Machine Translation
A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network
EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance
Economical Reinforcement Learning for Non Stationary Problems
Analysis and Prediction of Deforming 3D Shapes Using Oriented Bounding Boxes and LSTM Autoencoders
SWP:A Sliding Window Prompt for Emotion Recognition in Conversation
Self-organising Neural Discrete Representation Learning à la Kohonen
Sailfish: A Fast Bayesian Change Point Detection Framework with Gaussian Process for Time Series
Gesture MNIST: A New Free-Hand Gesture Dataset
See Beyond: Benchmarking MLLMs' Visual Relational Reasoning Ability
Training Deep Capsule Networks with Residual Connections
Optimal Synthesis of Boolean Functions by Threshold Functions
Recognition of Transitive Actions with Hierarchical Neural Network Learning
Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition
Modling Human Word Recognition with Sequences of Artificial Neurons
GH-CNN: A New CNN for Coherent Hierarchical Classification
KCNet: Kernel-Based Canonicalization Network for Entities in Recruitment Domain
A Neurofuzzy Methodology for the Diagnosis of Wireless-Capsule Endoscopic Images
Towards Both Accurate and Robust Neural Networks Without Extra Data
Application of Potts-Model Perceptron for Binary Patterns Identification
A Computational Model of Motor Areas Based on Bayesian Networks and Most Probable Explanations
Enhancing Adversarial Robustness Through Multi-objective Representation Learning
A Deep Learning Approach for Sentiment Analysis in Spanish Tweets
Towards Generalizable and Interpretable AI-Modified Image Detectors
Linear Operators and Stochastic Partial Differential Equations in Gaussian Process Regression
Fire Detection Based on Improved-YOLOv5s
Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity
Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach
A Novel and Efficient Method for Testing Non Linear Separability
fNIRS-Based Brain-Computer Interface Using Deep Neural Networks for Classifying the Mental State of Drivers
Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem
InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee
Collaborative Non-negative Matrix Factorization
Fuzzy Cluster Validation Using the Partition Negentropy Criterion
Neural Network Training with Safe Regularization in the Null Space of Batch Activations
Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting
Correction while Recognition: Combining Pretrained Language Model for Taiwan-Accented Speech Recognition
Analysis of Biologically Inspired Small-World Networks
Multimodal Sparse Features for Object Detection
A Novel Deep Learning Based Method for Doppler Spectral Curve Detection
DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification
Adaptive Critic Design with ESN Critic for Bioprocess Optimization
Learning Visually Grounded Human-Robot Dialog in a Hybrid Neural Architecture
Sampling Hidden Parameters from Oracle Distribution
Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance
Gradient Adjusted and Weight Rectified Mean Teacher for Source-Free Object Detection
Evaluating Multiple-Concept Biomedical Hypotheses Based on Deep Sets
Neural Network Control of Unknown Nonlinear Systems with Efficient Transient Performance
Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction
Towards Understanding of Natural Language: Neurocognitive Inspirations
The Counter-Change Model of Motion Perception: An Account Based on Dynamic Field Theory
The Variational Coupled Gaussian Process Dynamical Model
Constructing the Cyclopean View
VSC Perspective for Neurocontroller Tuning
PCA-Based Representations of Graphs for Prediction in QSAR Studies
DeepMimic: Mentor-Student Unlabeled Data Based Training
On Activation Functions for Complex-Valued Neural Networks - Existence of Energy Functions
ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty
On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning
The Lin-Kernighan Algorithm Driven by Chaotic Neurodynamics for Large Scale Traveling Salesman Problems
Robotic Calibration Based on Haptic Feedback Improves Sim-to-Real Transfer
Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network
Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques
Design of a Fault Tolerant Multilayer Perceptron with a Desired Level of Robustness
Learning Novel Views to a Single Face Image
Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part III
Multi-dimensional Function Approximation and Regression Estimation
Hybrid Control Structure for Multi-robot Formation
Short-Term Forecasting of Wind Power Using CEEMDAN-ICOA-GRU Model
Sensorimotor Prediction with Neural Networks on Continuous Spaces
Firing Rates and Representational Error in Efficient Spiking Networks Are Bounded by Design
Hierarchical Attentional Hybrid Neural Networks for Document Classification
Bubbles Detection on Sea Surface Images
Recursive Neural Networks Applied to Discourse Representation Theory
Cellular Neural Networks for Color Image Segmentation
Simulating Light Adaptation in the Retina with Rod-Cone Coupling
Direct Estimation of Polynomial Densities in Generalized RBF Networks Using Moments
A Description of a Simulation Environment and Neural Architecture for A-Life
Recurrent Dynamical Projection for Time Series-Based Fraud Detection
An Empirical Comparison of Dimensionality Reduction Techniques for Pattern Classification
How Visual Attention and Suppression Facilitate Object Recognition?
Support Vector Representation of Multi-categorical Data
Recommendation Models for User Accesses to Web Pages
Collaborative Attention Network with Word and N-Gram Sequences Modeling for Sentiment Classification
Identification of the Electric Arc of a Furnace
Generating Sparse Counterfactual Explanations for Multivariate Time Series
Self-adaptive Artificial Neural Network in Numerical Models Calibration
On-Line Learning Methods for Gaussian Processes
PhonicsGAN: Synthesizing Graphical Videos from Phonics Songs
Incremental Learning Using Self-Organizing Neural Grove
Deliberation-Aware Responder in Multi-proposer Ultimatum Game
Solving Satisfiability Problem by Parallel Execution of Neural Networks with Biases
Semi-supervised Model for Emotion Recognition in Speech
COViT-GAN: Vision Transformer for COVID-19 Detection in CT Scan Images with Self-Attention GAN for Data Augmentation
PCB Component Rotation Detection Based on Polarity Identifier Attention
Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts
Towards Attention Based Vulnerability Discovery Using Source Code Representation
Online Clustering of Non-stationary Data Using Incremental and Decremental SVM
CLIP-Guided Frequency-Aware Representation Learning for Generalizable Remote-Sensing Image Tampering Detection
Images Structure Reconstruction from fMRI by Unsupervised Learning Based on VAE
A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising
Bayesian Regularization in Constructive Neural Networks
Modular Reinforcement Learning In Long-Horizon Manipulation Tasks
Visualization and Analysis of Web Navigation Data
Anomaly-Based Insider Threat Detection via Hierarchical Information Fusion
CIBR: Cross-Modal Information Bottleneck Regularization for Robust CLIP Generalization
On-Line Laplacian One-Class Support Vector Machines
Learning and Reasoning with Logic Tensor Networks: The Framework and an Application (Abstract of Invited Talk)
Proactive Depot Discovery: A Generative DRL Framework for Adaptive Location-Routing