yusuke1997/dblp-id-title huggingface dataset:
Single Image Super-Resolution by Learned Double Sparsity Dictionaries Combining Bootstrapping Method
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy
The Link Between Temporal Attention and Emotion: A Playground for Psychology, Neuroscience, and Plausible Artificial Neural Networks
Collaborative Filtering through SVD-Based and Hierarchical Nonlinear PCA
Inversion of a Neural Network via Interval Arithmetic for Rule Extraction
Selection of Decision Stumps in Bagging Ensembles
Application of Semi-Bayesian Neural Networks in the Identification of Load Causing Beam Yielding
Deep Neural Network Architecture for Drug-Target Interaction Prediction
Self-organized Attractoring in Locomoting Animals and Robots: An Emerging Field
Tree-Based Indirect Encodings for Evolutionary Development of Neural Networks
Mutual Information Dropout: Mutual Information Can Be All You Need
Application of Materials Informatics Tools to the Analysis of Combinatorial Libraries of All Metal-Oxides Photovoltaic Cells
Nature Inspired Methods in the Radial Basis Function Network Learning Process
Cluster Domains in Binary Minimization Problems
Enhancements on the Modified Stochastic Synaptic Model: The Functional Heterogeneity
Gated Boltzmann Machine in Texture Modeling
Temporal Processing of Brain Activity for the Recognition of EEG Patterns
BF-Net: A Fine-Grained Network for Identify Bacterial and Fungal Keratitis
An Adversarial Multi-task Learning Method for Chinese Text Correction with Semantic Detection
Independent Component Analysis Filtration for Value at Risk Modelling
Neural Force Control (NFC) for Complex Manipulator Tasks
Mutual Information and k -Nearest Neighbors Approximator for Time Series Prediction
Growing Neural Networks Achieve Flatter Minima
Multivariate Dynamic Kernels for Financial Time Series Forecasting
A Novel Single-Trial Analysis Scheme for Characterizing the Presaccadic Brain Activity Based on a SON Representation
Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework
UDCGN: Uncertainty-Driven Cross-Guided Network for Depth Completion of Transparent Objects
Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning
A Hybrid Approach to Natural Language Parsing
Predictive Kohonen Map for Speech Features Extraction
Exploration via Progress-Driven Intrinsic Rewards
Unsupervised Change Detection Using Joint Autoencoders for Age-Related Macular Degeneration Progression
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification
Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit
R2P: A Deep Learning Model from mmWave Radar to Point Cloud
Distribution Stream of Tasks in Dual-Processor System
Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models
Enhancing Cellular Automata by an Embedded Generalized Multi-layer Perceptron
Classification Rejection by Prediction
Combinatorial Library Neural Network (CoLiNN) for Combinatorial Library Visualization Without Compound Enumeration
Statistical Control of RBF-like Networks for Classification
SCANet: Dual Attention Network for Alzheimer's Disease Diagnosis Based on Gated Residual and Spatial Asymmetry Mechanisms
NoSync: Particle Swarm Inspired Distributed DNN Training
Semi-supervised Learning Based Right Ventricle Segmentation Using Deep Convolutional Boltzmann Machine Shape Model
Neural Architecture for Mental Imaging of Sequences Based on Optical Flow Predictions
Anti-hate Speech Framework: Leveraging Hedging Hyperbolic Learning
A Fokker-Planck Perspective on the Flow of Information in Continuous Memory Neural Networks
The Schizophrenic Brain: A Broken Hermeneutic Circle
CoPrGAN: Image-to-Image Translation via Content Preservation
A Transformer-Based Framework for Biomedical Information Retrieval Systems
Momentum Acceleration of Least-Squares Support Vector Machines
Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation
Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking
FedP2PAvg: A Peer-to-Peer Collaborative Framework for Federated Learning in Non-IID Scenarios
A Hybrid Object Recognition Architecture
A Hypothetical Free Synaptic Energy Function and Related States of Synchrony
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines
Information Theoretic Implications of Embodiment for Neural Network Learning
Row-Action Projections for Nonnegative Matrix Factorization
LipBaB: Computing Exact Lipschitz Constant of ReLU Networks
Optimal Texture Feature Selection for the Co-Occurrence Map
Improving Robustness of Slow Feature Analysis Based Localization Using Loop Closure Events
Interpretable Machine Learning Structure for an Early Prediction of Lane Changes
New Neural Network Based Mobile Location Estimation in a Metropolitan Area
A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction
Suboptimal Nonlinear Predictive Control with Structured Neural Models
Artificial Intelligence Methods for Evaluating Mitochondrial Dysfunction: Exploring Various Chemical Notations Suitable for Neural Language Processing Models
Nonlinear Lagrangean Neural Networks
Fast Score Function Estimation with Application in ICA
CNNapsule: A Lightweight Network with Fusion Features for Monocular Depth Estimation
The Probabilistic Growing Cell Structures Algorithm
Heterogeneous Graph Neural Network for Multi-behavior Feature-Interaction Recommendation
Correlation Visualization of High Dimensional Data Using Topographic Maps
PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis
Physical Mapping of Spiking Neural Networks Models on a Bio-inspired Scalable Architecture
Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis
Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN
An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification
Multiresponse Sparse Regression with Application to Multidimensional Scaling
Automatic Design of Modular Neural Networks Using Genetic Programming
Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems
Mixing Actual and Predicted Sensory States Based on Uncertainty Estimation for Flexible and Robust Robot Behavior
Learning to Walk Using a Recurrent Neural Network with Time Delay
LS Footwear Database - Evaluating Automated Footwear Pattern Analysis
Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP)
An Exploration of Dropout with RNNs for Natural Language Inference
Person Tracking Based on a Hybrid Neural Probabilistic Model
Automatic Fingerprint Verification Using Neural Networks
Modeling Networks with Linear (VLSI) Integrate-and-Fire Neurons
Adaptive Token Excitation with Negative Selection for Video-Text Retrieval
Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm
Clustering of Gene Expression Data by Mixture of PCA Models
Exact Solutions for Recursive Principal Components Analysis of Sequences and Trees
Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes
Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes
CLTS+: A New Chinese Long Text Summarization Dataset with Abstractive Summaries
Tikhonov-Type Regularization for Restricted Boltzmann Machines
A Modular Single-Hidden-Layer Perceptron for Letter Recognition
Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks
Study of Nitric Oxide Effect in the Hebbian Learning: Towards a Diffusive Hebb's Law
Semi-supervised Significance Score of Differential Gene Expressions
Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4
Development of a Neural Net-Based, Personalized Secure Communication Link
Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System
Learning Features by Contrasting Natural Images with Noise
Linear and Nonlinear Combinations of Connectionist Models for Local Diagnosis in Real-Time Telephone Network Traffic Management
Control and Synchronization of Chaotic Neurons Under Threshold Activated Coupling
Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout
Traffic Camera Calibration via Vehicle Vanishing Point Detection
CopiFilter: An Auxiliary Module Adapts Pre-trained Transformers for Medical Dialogue Summarization
Revisiting Deep Convolutional Neural Networks for RGB-D Based Object Recognition
RD-Crack: A Study of Concrete Crack Detection Guided by a Residual Neural Network Improved Based on Diffusion Modeling
Learning from Chaos: A Model of Dynamical Perception
Local Detection of Communities by Neural-Network Dynamics
Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection Architecture
Adaptive- L_2 L 2 Batch Neural Gas
Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition
A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets
Speech Recognition Based on the Processing Solutions of Auditory Cortex
Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition
Linkage Analysis: A Bayesian Approach
Firing Pattern Estimation of Synaptically Coupled Hindmarsh-Rose Neurons by Adaptive Observer
A Self-Organizing Network that Can Follow Non-stationary Distributions
Efficient Learning in Spiking Neural Networks - Introducing Feedback Alignment to the Reinforced Liquid State Machine
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network
Action Recognition Based on Divide-and-Conquer
Facial Expression Recognition by Expression-Specific Representation Swapping
An Evaluation Dataset for Targeted Sentiment Analysis in Long-Form Chinese News Articles
Severe Convective Weather Classification in Remote Sensing Images by Semantic Segmentation
Comparison of Adaptive Algorithms for Significant Feature Selection in Neural Network Based Solution of the Inverse Problem of Electrical Prospecting
Towards a Neural Model of Mental Simulation
An Improved Cumulant Based Method for Independent Component Analysis
Epileptic Seizure Prediction and the Dimensionality Reduction Problem
Multi-stage FCM-Based Intensity Inhomogeneity Correction for MR Brain Image Segmentation
Instance-Based Object Recognition with Simultaneous Pose Estimation Using Keypoint Maps and Neural Dynamics
Gaussian Process Approach to Stochastic Spiking Neurons with Reset
Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition
A Generalisable Measure of Self-Organisation and Emergence
MMF: A Loss Extension for Feature Learning in Open Set Recognition
ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks
Learning with Hard Constraints
A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity
Growing Neural Gas for Vision Tasks with Time Restrictions
Improved U-Net for Plaque Segmentation of Intracoronary Optical Coherence Tomography Images
Candidate-Aware Dynamic Representation for News Recommendation
ANGE - Automatic Neural Generator
Neocognitron of a New Version: Handwritten Digit Recognition
Evaluating the Impact of Data Curation on Off-Policy Reinforcement Learning
Nullspace-Based Metric for Classification of Dynamical Systems and Sensors
The Topographic Product of Experts
Parallel Distributed Profit Sharing for PC Cluster
The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithm
A Data Augmentation Based ViT for Fine-Grained Visual Classification
Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I
Intrinsic and Parallel Performances of the OWE Neural Network Architecture
HyperNets and Their Application to Learning Spatial Transformations
Tucker Tensor Decomposition of Multi-session EEG Data
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III
Improving the Transferability of Point Cloud Attack via Spectral-Aware Admix and Optimization Designs
LGACN: A Light Graph Adaptive Convolution Network for Collaborative Filtering
Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual Classification
Bilevel Online Deep Learning in Non-stationary Environment
Predicting QoL Parameters for the Atmospheric Environment in Athens, Greece
Lightweight Human Pose Estimation Based on Densely Guided Self-Knowledge Distillation
On Estimating Mutual Information for Feature Selection
A Neuro-fuzzy Approach to User Attention Recognition
Biclustering Gene Expression Data in the Presence of Noise
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction
Spatial Independent Component Analysis of Multitask-Related Activation in fMRI Data
Adaptive Skill Acquisition in Hierarchical Reinforcement Learning
A Neural Spiking Approach Compared to Deep Feedforward Networks on Stepwise Pixel Erasement
Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity
A Simple Task-Aware Contrastive Local Descriptor Selection Strategy for Few-Shot Learning Between Inter Class and Intra Class
Kernel PCA as a Visualization Tools for Clusters Identifications
Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems
A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields
Dopamine-Modulated Learning and Decision-Making with Neuromorphic Computing
Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients
Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays
Fine-Grained Recognition of Arteriovenous Fistula Stenosis Using Blood Flow Sounds: An Animal Model-Based Dataset and a Frequency-Aware Decoupling Network
An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection
Content-Based Image Retrieval by Combining Genetic Algorithm and Support Vector Machine
Using Orientation to Distinguish Overlapping Chromosomes
A Multitask Learning Neural Network for Short-Term Traffic Speed Prediction and Confidence Estimation
Radiological Identification of Hip Joint Centers from X-ray Images Using Fast Deep Stacked Network and Dynamic Registration Graph
Efficient Source Detection Using Integrate-and-Fire Neurons
A Computational Model of Metaphor Understanding Consisting of Two Processes
Adaptive Interaction-Based Multi-view 3D Object Reconstruction
Natively Neuromorphic LMU Architecture for Encoding-Free SNN-Based HAR on Commercial Edge Devices
Adaptive Online Learning for Nonstationary Problems
Evolutionary q -Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection
Error Entropy Minimization for LSTM Training
Small-World Effects in Lattice Stochastic Diffusion Search
Opemod: An Optimal Performance Selection Model for Prediction of Non-stationary Financial Time Series
A Robust Objective Function of Joint Approximate Diagonalization
Comparison of Input Data Compression Methods in Neural Network Solution of Inverse Problem in Laser Raman Spectroscopy of Natural Waters
Annealed RNN Learning of Finite State Automata
A Distributed Behavioral Model Using Neural Fields
Multi-person Absolute 3D Human Pose Estimation with Weak Depth Supervision
Anomaly Detection in Blockchain Using Multi-source Embedding and Attention Mechanism
Class-Similarity Based Label Smoothing for Confidence Calibration
Topological Maps for Mixture Densities
A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop Control
A Probabilistic Approach to High-Resolution Sleep Analysis
SS-Net: 3D Spatial-Spectral Network for Cerebrovascular Segmentation in TOF-MRA
CNN-Based Semantic Change Detection in Satellite Imagery
Location Dependency in Video Prediction
Incorporating Worker Similarity for Label Aggregation in Crowdsourcing
Transforming Auto-Encoders
Human Facial Expression Recognition Using Hybrid Network of PCA and RBFN
How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response
Utilize Spatial Prior in Ground Truth: Spatial-Enhanced Loss for Semantic Segmentation
Parametrized SOMs for Object Recognition and Pose Estimation
Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation
Towards Adjustable Signal Generation with Photonic Reservoir Computers
ProGEO: Generating Prompts Through Image-Text Contrastive Learning for Visual Geo-Localization
Completely Self-referential Optimal Reinforcement Learners
Image Recognition in Analog VLSI with On-Chip Learning
Evaluation of Transfer Learning for Visual Road Condition Assessment
Advances in Adaptive Skill Acquisition
Estimation of the Change of Agents Behavior Strategy Using State-Action History
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks
An Algorithm for Image Representation as Independent Levels of Resolution
pFedLHNs: Personalized Federated Learning via Local Hypernetworks
Temporal Deformable Transformer for Action Localization
A Temporal-Enhanced Model for Knowledge Tracing
Global-Guided Weighted Enhancement for Salient Object Detection
Effects of Analog-VLSI Hardware on the Performance of the LMS Algorithm
A New Neuro-Dominance Rule for Single Machine Tardiness Problem with Unequal Release Dates
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning
Few-Shot Learning with Random Erasing and Task-Relevant Feature Transforming
Effect of Feedback Strength in Coupled Spiking Neural Networks
State-Space Analysis of an Ising Model Reveals Contributions of Pairwise Interactions to Sparseness, Fluctuation, and Stimulus Coding of Monkey V1 Neurons
Neural Network: Input Anticipation May Lead to Advanced Adaptation Properties
Towards Robustness of Large Language Models on Text-to-SQL Task: An Adversarial and Cross-Domain Investigation
Spatial and Temporal Selectivity of Hippocampal CA3 and Its Contribution to Sequence Disambiguation
Revising Attention with Position for Aspect-Level Sentiment Classification
Model Extraction and Adversarial Attacks on Neural Networks Using Switching Power Information
Discriminative Common Images for Face Recognition
A Neurocomputational Model of Nicotine Addiction Based on Reinforcement Learning
Kernel-Based 3D Object Representation
Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner's Dilemma
Nonnegative Least Squares Learning for the Random Neural Network
A New Distance for Probability Measures Based on the Estimation of Level Sets
A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet
Hierarchical Architecture with Modular Network SOM and Modular Reinforcement Learning
Backbone Structure of Hairy Memory
CauchyGCN: Preserving Local Smoothness in Graph Convolutional Networks via a Cauchy-Based Message-Passing Scheme and Clustering Analysis
Precise Wind Power Prediction with SVM Ensemble Regression
The Principal Components Analysis Self-Organizing Map
A New Learning Algorithm for Mean Field Boltzmann Machines
Identifying the Trends of Technological Convergence Between Domains Using a Heterogeneous Graph Perspective: A Case Study of the Graphene Industry
A Bilinear Model for Consistent Topographic Representations
DeepEthnic: Multi-label Ethnic Classification from Face Images
Few-Shot Relational Triple Extraction Based on Evaluation of Token-Level Semantic Similarity
MT-TCCT: Multi-task Learning for Multimodal Emotion Recognition
Hierarchical Contrastive Learning for CSI-Based Fingerprint Localization
A Computational Model of Cortico-Striato-Thalamic Circuits in Goal-Directed Behaviour
Targeted Sentiment Classification with Attentional Encoder Network
A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach
Improving Multi-agent Reinforcement Learning with Imperfect Human Knowledge
Reject Options for Incremental Regression Scenarios
Time Delay Learning by Gradient Descent in Recurrent Neural Networks
Overview on the PHRESCO Project: PHotonic REServoir COmputing
Makeup Transfer Based on Generative Adversarial Network for Large Angle Spatial Misalignment
A Computational Model for the Effect of Dopamine on Action Selection During Stroop Test
Direct Training of Dynamic Observation Noise with UMarineNet
Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval
Sound Recognition System Using Spiking and MLP Neural Networks
Change Detection in Individual Users' Behavior
Global Dynamics of Finite Cellular Automata
Integrating N-Gram Features into Pre-trained Model: A Novel Ensemble Model for Multi-target Stance Detection
Self-Organizing Map for the Curvature-Constrained Traveling Salesman Problem
A Component Association Architecture for Image Understanding
A Combination Method for Reducing Dimensionality in Large Datasets
Neural Network Capable of Amodal Completion
Coexistence of Fuzzy and Crisp Concepts in Document Maps
Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction
A Transformer-Based GAN for Anomaly Detection
Evolving Neural Behaviour Control for Autonomous Robots
The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set
A Novel Approach for Hardware Based Sound Localization
Theoretical Analysis of Accuracy of Gaussian Belief Propagation
Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial Characteristics
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part V
Towards Learning Path Planning for Solving Complex Robot Tasks
Object Classification Using the MPEG-7 Visual Descriptors: An Experimental Evaluation Using State of the Art Data Classifiers
Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain
Effect of the Background Activity on the Reconstruction of Spike Train by Spike Pattern Detection
Sparse Coding Predicts Optic Flow Specifities of Zebrafish Pretectal Neurons
Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICA
Global Metric Learning by Gradient Descent
Simbed: Similarity-Based Embedding
Artificial Neural Networks and Machine Learning - ICANN 2011 - 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I
Enhancing Fraud Detection via GNNs with Synthetic Fraud Node Generation and Integrated Structural Features
Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II
Regularization by Early Stopping in Single Layer Perceptron Training
The Dynamics of a Neural Network of Coupled Phase Oscillators with Synaptic Plasticity Controlling a Minimally Cognitive Agent
A First Approach to Solve Classification Problems Based on Functional Networks
An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition
Learning Rule Representations from Boolean Data
Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis
KCMAC: A Novel Fuzzy Cerebellar Model for Medical Decision Support
MTL-SIMNAS: Task Similarity-Driven Neural Architecture Search for Enhanced Multi-task Learning
On Chow-Liu Forest Based Regularization of Deep Belief Networks
Learning Trajectories of Hamiltonian Systems with Neural Networks
Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task
Predictive Neural Models in Noisy Environment