yusuke1997/dblp-id-title huggingface dataset:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II
A Depth-Guided Attention Strategy for Crowd Counting
Right Ventricle Segmentation in Cardiac MR Images Using U-Net with Partly Dilated Convolution
A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems
A Judicial Sentencing Method Based on Fused Deep Neural Networks
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Classless Association Using Neural Networks
Learning from Multiple Annotators with Gaussian Processes
Curating Reagents in Chemical Reaction Data with an Interactive Reagent Space Map
Ordering of the RGB Space with a Growing Self-organizing Network. Application to Color Mathematical Morphology
Stacking MF Networks to Combine the Outputs Provided by RBF Networks
Supervised Locally Linear Embedding
Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images
Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes
MCAPR: Multi-modality Cross Attention for Camera Absolute Pose Regression
Two Alternative Criteria for a Split-Merge MCMC on Dirichlet Process Mixture Models
Associative Memories Applied to Pattern Recognition
Discriminative Dimensionality Reduction Based on Generalized LVQ
Contextualise Entities and Relations: An Interaction Method for Knowledge Graph Completion
Low Power Digital Neuron for SOM Implementations
The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design
Classification of Bone Tumor on CT Images Using Deep Convolutional Neural Network
Image Theft Detection with Self-Organising Maps
Parallel-Pathway Generator for Generative Adversarial Networks to Generate High-Resolution Natural Images
Make Audio Solely Drive Lip in Talking Face Video Synthesis
A Self-Organizing Neural Network Approach for the Acquisition of Phonetic Categories
ML-FORMER: Forecasting by Neighborhood and Long-Range Dependencies
Real-Time Face Detection Using Artificial Neural Networks
DAEMA: Denoising Autoencoder with Mask Attention
Causal Neural Control of a Latching Ocean Wave Point Absorber
Gaussian Processes for Model Fusion
Effectively Interpreting Electroencephalogram Classification Using the Shapley Sampling Value to Prune a Feature Tree
The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality
Robustness Verification for Object Detectors Using Set-Based Reachability Analysis
Clean-Image Backdoor Attacks
Balancing Imbalanced Toxicity Models: Using MolBERT with Focal Loss
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data
Convex Mixture Models for Multi-view Clustering
A Deep Learning Approach for Hand Posture Recognition from Depth Data
GAttANet: Global Attention Agreement for Convolutional Neural Networks
Robust Workflow Recognition Using Holistic Features and Outlier-Tolerant Fused Hidden Markov Models
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
Interactions in the Striatal Network with Different Oscillation Frequencies
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection
Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking
Instance-Based Method to Extract Rules from Neural Networks
A Funny Proverb Generation System Based on Sukashi
Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components
Tactile Convolutional Networks for Online Slip and Rotation Detection
Conformalized Causal Learning for Uncertainty-Aware Mineral Prospectivity Mapping
EdgeAugment: Data Augmentation by Fusing and Filling Edge Maps
Topology Aware Internet Traffic Forecasting Using Neural Networks
PoinLin-Net: Point Cloud Completion Network Based on Geometric Feature Extraction and Linformer Structure
t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer
Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part I
IP-GAN: Learning Identity and Pose Disentanglement in Generative Adversarial Networks
Semi-supervised Phoneme Recognition with Recurrent Ladder Networks
A Feature Selection Approach Based on Information Theory for Classification Tasks
FAIR: A Causal Framework for Accurately Inferring Judgments Reversals
Synfire Chain Emulation by Means of Flexible SNN Modeling on a SIMD Multicore Architecture
Solving Deep Memory POMDPs with Recurrent Policy Gradients
A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction
Solution Space of Perceptron
Video Understanding Using 2D-CNNs on Salient Spatio-Temporal Slices
Using Maximal Recurrence in Linear Threshold Competitive Layer Networks
An Innovate Hybrid Approach for Residence Price Using Fuzzy C-Means and Machine Learning Techniques
Independent Component Analysis Minimizing Convex Divergence
Nonlinear, Nonequilibrium Landscape Approach to Neural Network Dynamics
Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach
Improving Fuel Economy with LSTM Networks and Reinforcement Learning
Registries in Machine Learning-Based Drug Discovery: A Shortcut to Code Reuse
A Unified View on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE)
Improved Attention Mechanism and Adversarial Training for Respiratory Infectious Disease Text Named Entity Recognition
LE-MVSNet: Lightweight Efficient Multi-view Stereo Network
Effective ML-Block and Weighted IoU Loss for Object Detection
Topological Derivative and Training Neural Networks for Inverse Problems
Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons
Review of Neuron Types in the Retina: Information Models for Neuroengineering
Fast Curvature Matrix-Vector Products
Analysis and Modelling of False Positives in GPCR Assays
Vector Perceptron Learning Algorithm Using Linear Programming
Vision-Text Interaction with Orientation-Awareness for Referring Remote Sensing Image Segmentation
Characterizing Trainability, Expressivity and Generalization of Neural Architecture with Metrics from Neural Tangent Kernel
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
Sparse Kernel Regressors
Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation
Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification?
Latent State Inference in a Spatiotemporal Generative Model
Robustness of Biologically-Inspired Filter-Based ConvNet to Signal Perturbation
A Network of Relaxation Oscillators that Finds Downbeats in Rhythms
Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
Incremental Learning of GAN for Detecting Multiple Adversarial Attacks
Hyperparameter-Free Bi-level Knowledge Graph Optimization for Link Prediction
Using Conceptors to Transfer Between Long-Term and Short-Term Memory
Linear Least-Squares Based Methods for Neural Networks Learning
Strategies to Enhance Pattern Recognition in Neural Networks Based on the Insect Olfactory System
GII: A Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery
Balancing Convolutional Neural Networks Pipeline in FPGAs
EEG-Based Person Identification Using Rhythmic Brain Activity During Sleep
Tree Memory Networks for Sequence Processing
An ASSOM Neural Network to Represent Actions Performed by an Autonomous Agent
Transformer Tracker Based on Multi-level Residual Perception Structure
Predictive Uncertainty Estimation with Temporal Convolutional Networks for Dynamic Evolutionary Optimization
Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering
Hierarchical Ensemble for Multi-view Clustering
Sign Based Derivative Filtering for Stochastic Gradient Descent
Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism
Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning
Face Recognition with Disparity Corrected Gabor Phase Differences
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
PLIClass: Weakly Supervised Text Classification with Iterative Training and Denoisy Inference
A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics
A Computationally Efficient Information Estimator for Weighted Data
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Improving the GRLVQ Algorithm by the Cross Entropy Method
A Neural Network for the Analysis of Multisensory Integration in the Superior Colliculus
Place Sequence Learning for Navigation
Componentwise Support Vector Machines for Structure Detection
Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters
Prototype Proliferation in the Growing Neural Gas Algorithm
Face Anti-spoofing with a Noise-Attention Network Using Color-Channel Difference Images
Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset
Combining Memory and Non-linearity in Echo State Networks
On the Capacity of Transient Internal States in Liquid-State Machines
A Robot Vision Algorithm for Navigating in and Creating a Topological Map of a Reconfigurable Maze
PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion Planning
Local and Non-local Context Graph Convolutional Networks for Skeleton-Based Action Recognition
Pseudo Boosted Deep Belief Network
Lateral Inhibition Pyramidal Neural Network for Detection of Optical Defocus (Zernike Z 5)
Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial Constraints
A Scoring Model Assisted by Frequency for Multi-Document Summarization
Click-Through Rate Prediction Based on Filtering-Enhanced with Multi-head Attention
Early-Stage Discovery in the Era of Hard-To-Drug Targets and Giga-Scale Chemical Spaces
Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips
Using RBF-Nets in Rubber Industry Process Control
Clustering in Weight Space of Feedforward Nets
Learning Representations for Animated Motion Sequence and Implied Motion Recognition
PNO: Personalized Network Optimization for Human Pose and Shape Reconstruction
Lightweight Reference-Less Summary Quality Evaluation via Key Feature Extraction
Random Drop Loss for Tiny Object Segmentation: Application to Lesion Segmentation in Fundus Images
Temporal Contrastive Learning for Spiking Neural Networks
A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data
SPSA for Layer-Wise Training of Deep Networks
Towards Better Dialogue Utterance Rewriting via a Gated Span-Copy Mechanism
Prediction Improvement via Smooth Component Analysis and Neural Network Mixing
Evolutionary Training of Neuro-fuzzy Patches for Function Approximation
Analysis of Dropout Learning Regarded as Ensemble Learning
Mixtures of Autoregressive Models for Financial Risk Analysis
Sparse Spatio-temporal Gaussian Processes with General Likelihoods
A Sparse Support Vector Machine Classifier with Nonparametric Discriminants
Selective Attention Model of Moving Objects
Hardware Implementation of a CPG-Based Locomotion Control for Quadruped Robots
A Gaussian Process Reinforcement Learning Algorithm with Adaptability and Minimal Tuning Requirements
Timage - A Robust Time Series Classification Pipeline
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification
Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic Sequences
Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks
Hierarchical Object Classification for Autonomous Mobile Robots
An Adaptive NN Controller with Second Order SMC-Based NN Weight Update Law for Asymptotic Tracking
Asymmetric Actor-Critic for Adapting to Changing Environments in Reinforcement Learning
Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System
Fine-Grained Channel Pruning for Deep Residual Neural Networks
Improving Image Captioning with Feature Filtering and Injection
Topic-Grained Text Representation-Based Model for Document Retrieval
Learning Ontology Alignments Using Recursive Neural Networks
One-Shot Meta-learning for Radar-Based Gesture Sequences Recognition
Bayesian Ying-Yang Learning on Orthogonal Binary Factor Analysis
Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity
A New Neural Model for Traffic Simulation
Sparsity Aware Learning in Feedback-Driven Differential Recurrent Neural Networks
Visualising Class Distribution on Self-organising Maps
Unsupervised Feature Selection via Local Total-Order Preservation
Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer
Automatic Part-of-Speech Tagging of Thai Corpus Using Neural Networks
Active Learning to Support the Generation of Meta-examples
Temporal Anomaly Detection by Deep Generative Models with Applications to Biological Data
Self-Organizing Maps for Robot Control
Derivation of Pool Dynamics from Microscopic Neuronal Models
Getting More Information out of SDM
Prediction of Power Consumption for Small Power Region Using Indexing Approach and Neural Network
Depression Detection Based on Multilevel Semantic Features
On-Line Processing of Grammatical Structure Using Reservoir Computing
DSL: Automatic Liver Segmentation with Faster R-CNN and DeepLab
Decoding Population Neuronal Responses by Topological Clustering
Short Text Clustering with a Deep Multi-embedded Self-supervised Model
Adaptive Graph Fusion for Unsupervised Feature Selection
'Virtual Keyboard' Controlled by Spontaneous EEG Activity
A Spectral Interpretation of Redundancy in a Graph Reservoir
Neural Model of Dopaminergic Control of Arm Movements in Parkinson's Disease Bradykinesia
Pseudo-Resistive Networks and their Applications to Analog Collective Computation
Understanding the Role of Serotonin in Basal Ganglia through a Unified Model
Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data
A Comparative Study on Data Smoothing Regularization for Local Factor Analysis
Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II
Error-Entropy Minimization for Dynamical Systems Modeling
Fractal Residual Network for Face Image Super-Resolution
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
SMS Spam Filtering Using Probabilistic Topic Modelling and Stacked Denoising Autoencoder
Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II
Multi-scale Convolutional Attention Fuzzy Broad Network for Few-Shot Hyperspectral Image Classification
Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons
Non-stationary Data Mining: The Network Security Issue
A Neural Network Model Generating Invariance for Visual Distance
Competitive and Collaborative Mixtures of Experts for Financial Risk Analysis
One Process Spatiotemporal Learning of Transformers via Vcls Token for Multivariate Time Series Forecasting
Maintenance Automation Using Deep Learning Methods: A Case Study from the Aerospace Industry
Minimizing Computation in Convolutional Neural Networks
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming
Complexity of Shallow Networks Representing Functions with Large Variations
Evaluating the Compression Efficiency of the Filters in Convolutional Neural Networks
Bagging Can Stabilize without Reducing Variance
Low-Frequency Features Optimization for Transferability Enhancement in Radar Target Adversarial Attack
Learning to Communicate Through Imitation in Autonomous Robots
Semi-supervised Metrics for Textual Data Visualization
Consensus Prediction of Chemical Reactions with OCHEM-R Platform
Bayesian Independent Component Analysis as Applied to One-Channel Speech Enhancement
Gating Sensory Noise in a Spiking Subtractive LSTM
ReForeSt: Random Forests in Apache Spark
Permutation Learning in Convolutional Neural Networks for Time-Series Analysis
Identification and Realization of a Class of Discrete Event Systems by Neural Networks-Timed Petri Nets
Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Informational Energy Kernel for LVQ
Diffusion-Adapter: Text Guided Image Manipulation with Frozen Diffusion Models
A Reinforcement Learning Approach for Sequential Spatial Transformer Networks
ConDTab: Conditional Diffusion Transformer for Mixed-Type Tabular Synthesis with Dual Attention Latent Encoding
Counterfactual Contrastive Learning for Fine Grained Image Classification
Small Object Detection Based on Bidirectional Feature Fusion and Multi-scale Distillation
A Distributed Message Passing Algorithm for Sensor Localization
Water Conservancy Remote Sensing Image Classification Based on Target-Scene Deep Semantic Enhancement
Deep Recurrent Deterministic Policy Gradient for Physical Control
New Phenemenon on Power Transformers and Fault Identification Using Artificial Neural Networks
FiLayer: A Novel Fine-Grained Layer-Wise Parallelism Strategy for Deep Neural Networks
Salient Object Detection with Edge Recalibration
Accelerating Kernel Neural Gas
Active Learning with the Probabilistic RBF Classifier
Building Smooth Neighbourhood Kernels via Functional Data Analysis
Geometrical Perspective on Hairy Memory
Qualitative Radial Basis Function Networks Based on Distance Discretization for Classification Problems
Adaptive Differential Decorrelation: A Natural Gradient Algorithm
Some Comparisons of Networks with Radial and Kernel Units
Synthesis of Developmental and Evolutionary Modeling of Adaptive Autonomous Agents
An Adaptive Feature Channel Weighting Scheme for Correlation Tracking
A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron
Compressing Neural Networks by Applying Frequent Item-Set Mining
SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps
An Original Neural Network for Pulmonary Tuberculosis Diagnosis in Radiographs
Solving Nonlinear MBPC through Convex Optimization: A Comparative Study Using Neural Networks
Evaluation of the Two Different Interconnection Networks of the CNAPS Neurocomputer
Optimizing Generic Neural Microcircuits through Reward Modulated STDP
Context Adaptive Metric Model for Meta-learning
Test-Time Augmentation for Traveling Salesperson Problem
DTI-RCNN: New Efficient Hybrid Neural Network Model to Predict Drug-Target Interactions
Neuronal Asymmetries and Fokker-Planck Dynamics
Application of Radial Basis Function Networks for Wind Power Forecasting
Micro Nucleus Detection in Human Lymphocytes Using Convolutional Neural Network
A Comparison of Classifiers for Real-Time Eye Detection
Combining Statistical Models for Protein Secondary Structure Prediction
BLSTM-RNN Based 3D Gesture Classification
Spanning SVM Tree for Personalized Transductive Learning
Neural Network Computations with Negative Triggering Thresholds
European Option Pricing by Using the Support Vector Regression Approach
Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight Modulation
Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering
Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting
Imbalanced Sentiment Classification Enhanced with Discourse Marker
Evolving Neural Networks for Orientation Behavior of Sand Scorpions towards Prey
FCN Salient Object Detection Using Region Cropping
Sample-Label View Transfer Active Learning for Time Series Classification
Graph Enhanced BERT for Stance-Aware Rumor Verification on Social Media
Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models
A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-Fuzzy System for On-Line Handwriting Recognition
Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS
On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition
Leveraging Quantum Mechanical Properties to Predict Solvent Effects on Large Drug-Like Molecules
Optimizing Control by Robustly Feasible Model Predictive Control and Application to Drinking Water Distribution Systems
Structural Analysis on STDP Neural Networks Using Complex Network Theory
ASK - Acquisition of Semantic Knowledge
From Conditioning of a Non Specific Sensor to Emotional Regulation of Behavior
TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features
Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation
Development of Shape Primitives from Images of Composite Objects Represented by Complex Cells
Text Recognition in Videos Using a Recurrent Connectionist Approach
Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling
Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity
Spatio-temporal Summarizing Method of Periodic Image Sequences with Kohonen Maps
Color Object Recognition in Real-World Scenes
Analysis of Multi-Fluorescence Signals Using a Modified Self-Organizing Feature Map
Modified Cost Functions for Modelling Air Quality Time Series by Using Neural Networks
On the Bounds of Function Approximations
Policy Entropy for Out-of-Distribution Classification
CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images
Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn ++ Under Different Combination Rules
Facial Feature Detection Using Neural Networks
Self-Aware Networks and Quality of Service
A Power-Efficient Architecture for On-Chip Reservoir Computing
Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17
Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning
Speed Enhancement with Soft Computing Hardware
Neural Network Processing for Multiset Data
A Deep Learning Approach to Bacterial Colony Segmentation
Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding
Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks
Nonlinear Regression with Piecewise Affine Models Based on RBFN
Computerized Counting-Based System for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Images
Towards Better Core Elements Extraction for Customer Service Dialogue Text
Hybrid Generative Models for Two-Dimensional Datasets
The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal Sequences
Exploring Protein Functional Relationships Using Genomic Information and Data Mining Techniques
A Pre-Processing Technique Based on the Wavelet Transform for Linear Autoassociators with Applications to Face Recognition
Market-Based Reinforcement Learning in Partially Observable Worlds
Alleviating Overconfident Failure Predictions via Masking Predictive Logits in Semantic Segmentation
Bias of Importance Measures for Multi-valued Attributes and Solutions
Evoked Potential Signal Estimation Using Gaussian Radial Basis Function Network
Bayesian Optimization for Backpropagation in Monte-Carlo Tree Search