yusuke1997/dblp-id-title huggingface dataset:
The GeTLS EXIN Neuron for Linear Regression
Hierarchical disentangled representation learning for singing voice conversion
A Probabilistic RBF Network for Classification
Computational intelligence software: Type-2 Fuzzy Logic and Modular Neural Networks
Long-only cryptocurrency portfolio management by ranking the assets: a neural network approach
RASLS: Reinforcement Learning Active SLAM Approach with Layout Semantic
New approach to the storage capacity of neural networks using the minimum distance between input patterns
Orthogonal Filter-Based Classifiers and Associative Memories
Semantics-guided hierarchical feature encoding generative adversarial network for natural image reconstruction from brain activities
Knowledge acquisition and revision via neural networks
Seq2Seq Deep Learning Models for Microtext Normalization
NurbsNet: A Nurbs approach for 3d object recognition
LR-FPN: Enhancing Remote Sensing Object Detection with Location Refined Feature Pyramid Network
Intersectional Bias Quantification in Facial Image Processing with Pre-Trained ImageNet Classifiers
On speeding up computation in information theoretic learning
Part-Attention Based Model Make Occluded Person Re-Identification Stronger
An adaptive text detection approach in images and video frames
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
On the robustness of machine learning based malware detection algorithms
Effects of Data Sparsity on Recommender Systems based on Collaborative Filtering
CAVE-SOM: Immersive visual data mining using 3D Self-Organizing Maps
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding
Combining evidence from multiple modular networks for recognition of consonant-vowel units of speech
Financial forecasting using random subspace classifier
Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension
An intelligent adaptive vector control technique using a multi-neural networks based hybrid structure
Safety-guided Deep Reinforcement Learning for Path Planning of Autonomous Mobile Robots
A New Modeling for Item Ratings Using Landmarks
Eigenvalue Analysis on Singularity in RBF networks
Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach
Subset Selection in Support Vector Machine
Self-training with adaptive regularization for S3VM
Deterministic models and Neural Nets: a successful methodology for the air dispersion models
Argument Mining with Modular BERT and Transfer Learning
Quaternionic and complex-valued Support Vector Regression for Equalization and Function Approximation
Representation and training of vector graphics with NRAAM networks
Reconstruction of bifurcation diagrams using an extreme learning machine with a pruning algorithm
Interesting Near-boundary Data: Inferring Model Ownership for DNNs
Neural networks following a binary approach applied to the integer prime-factorization problem
Multi-Task Learning with Capsule Networks
Learning to Program Variational Quantum Circuits with Fast Weights
Acquisition of image features for material perception from fine-tuned convolutional neural networks
Competition between ON and OFF Neural Pathways Enhancing Collision Selectivity
ViPro-2: Unsupervised State Estimation via Integrated Dynamics for Guiding Video Prediction
An efficient learning algorithm with second-order convergence for multilayer neural networks
Discriminative training of hidden Markov models by multiobjective optimization for visual speech recognition
A prediction model for high-frequency financial time series
DeepSign: Deep learning for automatic malware signature generation and classification
Fast training of convolutional neural network classifiers through extreme learning machines
Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques
Evolutionary dimensionality reduction for crack localization in ship structures using a hybrid computational intelligent approach
Multi-Scale Deep Nearest Neighbors
MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech Classification
Identifying spatial relations in images using convolutional neural networks
What's in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches
Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections
Multiplicative-additive neural networks with active neurons
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks
UCSC-CGEC: A Unified Approach For Chinese Spelling Check And Grammatical Error Correction
Learning New Word Semantics with Conceptual Text
The bifurcating neuron network 3
Noisy Chaotic Neural Networks for Solving Combinatorial Optimization Problems
The OMG-Emotion Behavior Dataset
Adversarial Fine-tune with Dynamically Regulated Adversary
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
Embeddings and Convolution, Is That the Best You can Do with Sentiment Features?
Image processing techniques and neural network models for predicting plant nitrate using aerial images
Enhancing Few-shot Classification through Token Selection for Balanced Learning
An Accurate And Lightweight Intrusion Detection Model Deployed on Edge Network Devices
Deep Embedded Clustering of Urban Communities Using Federated Learning
Integrating Social and Knowledge Graphs in GNN-Based Recommender Systems
Mutual Information-Based Counterfactuals for Fair Graph Neural Networks
Approximate Manifold Defense Against Multiple Adversarial Perturbations
Prediction interval-based neural network controller for nonlinear processes
Feedforward dynamic neural network technique for modeling and design of nonlinear telecommunication circuits and systems
Evolutionary Ensemble Creation and Thinning
Variational Bayesian Parameter-Based Policy Exploration
Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting
Pre-Activation based Representation Learning to Enhance Predictive Analytics on Small Materials Data
Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer
Multiple descent cost competitive learning: batch and successive self-organization with excitatory and inhibitory connections
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation
Learning Adaptive Weight Masking for Adversarial Examples
A Bayesian framework for active learning
Multi-Partition Feature Alignment Network for Unsupervised Domain Adaptation
Information-theoretic dataset selection for fast kernel learning
On the convergence of techniques that improve value iteration
Development support software of cell array processor and its neural network application
Non-exemplar Class-incremental Learning via Dual Augmentation and Dual Distillation
A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction
D 2 Former: Dynamic Sketch Decomposition and Selection Transformer for Sketch-Based 3D Shape Retrieval
Improving Neural Architecture Search by Mixing a FireFly algorithm with a Training Free Evaluation
Multi-task Scheduling with Dependencies in Heterogeneous Edge Arithmetic Networks
A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning
Spatial Effects of Video Compression on Classification in Convolutional Neural Networks
Online Semi-supervised Pairwise Learning
Systematic testing of generalization level during training in regression-type learning scenarios
The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011
Min Max Control of Nonlinear Systems Using Universal Learning Networks
Decreasing excess fuzziness in fuzzy outputs from neural networks for linguistic rule extraction
A Multimodal data fusion approach efficiently predicts disease duration in multiple sclerosis
Sharing training patterns in neural network ensembles
Ensemble of Convolutional Neural Networks for Sparse-View Cone-Beam Computed Tomography
An inexpensive flying robot design for embodied robotics research
Incorporating Decision-level Reconstruction Quality in Adversarial Autoencoders for Anomaly Detection
Temporal Knowledge Graph Incremental Evolution Model for Sequential Recommendation
An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction
Classification of molecular structures made easy
FedSDA: Enhancing Federated Learning with Client-Specific Data Augmentation
Unsupervised Embeddings for Categorical Variables
Language acquisition and category discrimination in the Modeling Field Theory framework
Long-term time series prediction using wrappers for variable selection and clustering for data partition
Gesture recognition on few training data using Slow Feature Analysis and parametric bootstrap
Decoding Brain Function: Mapping the Conceptual Structure of C. elegans' Sensorium
DB-STAGCN: A Dual-Branch Spatial-Temporal Attention Graph Convolutional Network for Traffic Flow Prediction
Power plant performance modeling with concept drift
High-Level Classification for EEG Analysis
Group activity description and recognition based on trajectory analysis and neural networks
An evolved Seega player capable of strong novice-level play
Automatic identification of useful independent components with a view to removing artifacts from eeg signal
Multiscale optimization in neural nets: preliminary report
Bayesian Stress Testing of Models in a Classification Hierarchy
Multiresolution Object Recognition Using Dual Heuristic Programming
HR-OTTA: Robust Online Test-Time Adaptation with Hybrid Fine-Tuning
Implementing evolutionary self-organizing maps with the genetic of graph evolution theory
Rule-based noise cancellation: a fuzzy line enhancer
Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering
ESM2-Driven Protein-Protein Interaction Prediction with Global-Local Graph Topology Learning
Information-based dichotomization: A method for multiclass Support Vector Machines
Global Asymptotic Stability Analysis of Both Matched and Unmatched Uncertain Neural Networks
Immunity-based intrusion detection for wireless sensor networks
Universal Recurrent Event Memories for Streaming Data
Identification of phase transitions in simulated EEG signals
Representation of Deep Features using Radiologist defined Semantic Features
2-D Fourier transformation in mixed formats
Custom Sequential Neural Network for Inverse Kinematic Regression
Clustering of Gaussian distributions
Chaotic behavior in probabilistic cellular neural networks
A Hybrid Paper Recommendation Method by Using Heterogeneous Graph and Metadata
Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation
HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling
Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams
Observed Stent's anti-Hebbian postulate on dynamic stochastic computational synapses
TW-TGNN: Two Windows Graph-Based Model for Text Classification
A Classification Scheme for Applications with Ambiguous Data
Improved Polynomial Neural Networks with Normalised Activations
Transformer-Based Multi-Source Domain Adaptation Without Source Data
Neural network-based analysis of DNA microarray data
The central control of oriented locomotion in insects - towards a neurobiological model
Trajectory clustering via deep representation learning
Hidden Markov models with graph densities for action recognition
Adversarial Learning of Hard Positives for Place Recognition
Towards a generalization of decompositional approach of rule extraction from multilayer artificial neural network
Comparison of echo state network output layer classification methods on noisy data
Ensembles of k-nearest neighbors and dimensionality reduction
Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis
Bio-inspired small target motion detector with a new lateral inhibition mechanism
Bifurcation phenomena of simple pulse-coupled spiking neuron models with filtered base signal
LeanStereo: A Leaner Backbone based Stereo Network
A Stabilized Dense Network Approach for High-Dimensional Prediction
WWN: Integration with coarse-to-fine, supervised and reinforcement learning
MSTC-Net: MultiScale TransConv Network for Non-Invasive Blood Pressure Prediction
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks
Application of Neural Networks to the Electroencephalogram Analysis for Epilepsy Detection
A new batch SOM algorithm for relational data with weighted medoids
Decision Evaluation Network driven by User Preferences and Dynamic Interests for Click-Through Rate Prediction
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data
On the complexity - sensitivity trade-off for the NF-kappaB pathway modeling
ImprovNet - Generating Controllable Musical Improvisations with Iterative Corruption Refinement
CNN Based Perception System for Collision Avoidance in Mobile Robots using Stereo Vision
Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks
SAMPose: Multi-Person Pose Estimation based on Segment Anything Model
Grasp the implicit features: Hierarchical emotion classification based on topic model and SVM
Improved Kohonen Feature Map Probabilistic Associative Memory based on Weights Distribution
A Solution to harmonic frequency problem: Frequency and phase coding-based brain-computer interface
Transfer learning in classification based on manifolc. models and its relation to tangent metric learning
Improvements of the Traffic Signal Control by Complex-Valued Hopfield Networks
Contrast Functions for Non-circular and Circular Sources Separation in Complex-Valued ICA
Enhance knowledge graph embedding via fake triples
Approximate dynamic programming solutions of multi-agent graphical games using actor-critic network structures
DeepSet: Deep Learning-based Recommendation with Setwise Preference
Classification of the thyroid nodules using support vector machines
Leveraging Domain-Specific Word Embedding and Hate Concepts in Hate Speech Detection
An EMG-controlled omnidirectional pointing device using a HMM-based neural network
Adaptive second order self-organizing mapping for 2D pattern representation
Dealing with censorship in neural network models
Black-box Identification with Static Neural Networks of Nonlinearities of an Elastomer-based Elastic Joint Manipulator
Practical Dynamic Logic GMTI Tracker
Music Classification using an Improved CRNN with Multi-Directional Spatial Dependencies in Both Time and Frequency Dimensions
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
Integrating Physiological Signals with Dynamical Attention Networks for Personality Trait Analysis
Synchronization of coupled pulse-type hardware neuron models for CPG model
Network-Aware SDN Load Balancer with Deep Active Learning based Intrusion Detection Model
Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks
High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons
TD(0)-Replay: An Efficient Model-Free Planning with full Replay
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes
Event-Triggered Adaptive Control for Discrete-Time Zero-Sum Games
Growing NAS for Complex-Valued CNNs in Digital Predistortion Power Amplifier Applications
LSTM based Time-series Prediction for Optimal Scheduling in the Foundry Industry
IEEE International Joint Conference on Neural Networks, IJCNN 2005, Montreal, QC, Canada, July 31 - August 4, 2005
MASZSL: A Multi-Block Attention-Based Description Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning
Application of neural networks to evaluate experimental data of galvanic zincing
A novel image watermarking scheme using Extreme Learning Machine
On the energy benefits of spiking deep neural networks: A case study
Dual Stream Framework with Self-Correcting Memory for Semi-Supervised Video Object Segmentation
Binary autoassociative morphological memories derived from the kernel method and the dual kernel method
Transfer learning in hierarchical dialogue topic classification with neural networks *
Self-Creating and Organizing Neural Networks with Weight Duplication
Goal-directed spatial navigation of the rat depends on phases of theta oscillation in hippocampal circuitry
Multi-Attention Based Spatial-Temporal Graph Convolution Networks for Traffic Flow Forecasting
Reinforcement Learning-Based Insulin Injection Time And Dosages Optimization
Effectively using recurrently-connected spiking neural networks
A new rule extraction method from neural networks
RPC-DETR: A Lightweight and Accurate Model for Foreign Object Detection on Transmission Lines
Application of neural networks on robot grippers
Multiple Instance Relational Learning for Video Anomaly Detection
Fast Training of Self Organizing Maps for the Visual Exploration of Molecular Compounds
Spatial representation versus navigation through hippocampal, prefrontal and ganglio-basal loops
Structure optimization of dynamic reservoir ensemble using genetic algorithm
KANOptiKT: Matrix Factorization and KAN Optimized Attention for Interpretable Knowledge Tracing
Intelligent determination for readmission of postoperative patients in ambulatory surgery
Deciphering Public Opinion of Nuclear Energy on Twitter
A Cost Function Based Single Network Adaptive Critic architecture for optimal control synthesis for a class of nonlinear systems
Relating information capacity to a biophysical model for blowfly retina
LOPD: A Low-illumination Scene Occluded Pedestrian Detection Model Based on Domain Adaptation
Biologically plausible models of homeostasis and STDP: Stability and learning in spiking neural networks
HGT: Transformer Architecture for Arbitrary Hypergraphs Based on P-Laplacian
Recuperating spectral features using glottal information and its application to speaker recognition
Modeling quasi-periodic lightcurves using neuropercolation
The Energy-Efficient Hierarchical Neural Network with Fast FPGA-Based Incremental Learning
DRCO: a Toolkit for Intelligently Curbing Illegal Wildlife Trade
Knowledge-oriented clustering for decision support
Neural Network Control of Robot Formations using RISE Feedback
Beyond Filtering: Leveraging Instance Hardness for Data-Centric Machine Learning in Healthcare
A Neural Network Model for Real-Time Scheduling on Heterogeneous SoC Architectures
Hierarchy-Aware Quaternion Embedding for Knowledge Graph Completion
Diffusive Hebbian model for orientation map formation
Cosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection
Time-delay polynomial networks and quality of approximation
Deep hierarchical reinforcement learning to manage the trade-off between sustainability and profitability in common pool resources systems
Retaining Disadvantaged Students Using a BERT-based Recommender System
Hard Disk Drive Failure Prediction Method Based On A Bayesian Network
Facial expression recognition combined with robust face detection in a convolutional neural network
MGSTA : Meta Learning Based Graph Convolutional Stacked Temporal Attention Neural Network for Traffic Flow Forecasting
A simple MOSFET model of an artificial synapse
ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information
Neural Network Interpretability and Incremental Correction Based on Conceptual Spatial Relationships
An Efficient Spatial Modeling Conv-ViT using Mask Supervision for 3D Medical Image Segmentation
A Novel Framework for Multi-Source Domain Adaptation with Discriminative Feature Learning
Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets
Improved neural networks for analog to digital conversion
A network with pulse processing neurons for generation of arbitrary temporal sequences
Processing of analogy in the thalamocortical circuit
Incremental learning and model selection under virtual concept drifting environments
Modeling time-varying processes by unfolding the time domain
Exploring optimized accelerator design for binarized convolutional neural networks
A ROS-Based Data-Driven Motion Self-Recognition System Using Deep-Learning Convolutional Neural Networks in a Military Unmanned Ground Vehicle
Dual Kalman filters for autonomous terrain aided navigation in unknown environments
Iris Discrimination Combined with the Shape and Orientation Recognition
Multiple Kernel Learning for Modeling Resting State EEG Connectomes using Structural Connectivity of the Brain
Analysis of hyperspectral data with diffusion maps and Fuzzy ART
Dual-Contrastive for Federated Social Recommendation
Multiple Query-based Multi-omics Fusion Algorithm for Cancer Classification and Metastasis Prediction
Accelerating neuro-evolution by compilation to native machine code
Using information fractal dimension as temperature in restricted Boltzmann Machine
Intrinsic capabilities of neural networks in the turtle spinal cord: selection and generation of motor patterns
Self-organized spiking neural network recognizing phase/frequency correlations
Multi-Stage Optimal Component Analysis
VFKD: Voxelized Fractal Keypoint Detector
Neuromodulated Patience for Robot and Self-Driving Vehicle Navigation
A novel audio color watermarking scheme based on self-organizing map
Improving Route Choice Models by Incorporating Contextual Factors via Knowledge Distillation
Multilayer Perceptrons Can Predict Cognitive Status during Recovery from Chronic Substance Misuse: Implications for Individualized Treatment Planning
Fault Diagnosis of an Actuator in the Attitude Control Subsystem of a Satellite using Neural Networks
A Transformer based Approach for Identification of Tweet Acts
ARGO: Modeling Heterogeneity in E-commerce Recommendation
Learning stepsize selection for the geodesic-based neural blind deconvolution algorithm
Laparoscopic Video Desmoking With Mutually Attention-Guided Deformable Convolutional Networks and LBP Prior
Dual Spatial Pyramid On Rotation Invariant Texture Feature For HEp-2 Cell Classification
Decoupling Exploration and Exploitation for Unsupervised Pre-training with Successor Features
Sparse linear representations for recognition
An adaptive neural network identifier for effective control of a static compensator connected to a power system
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning
Spiking Neural Networks with Laterally-Inhibited Self-Recurrent Units
Learning a Domain-Invariant Embedding for Unsupervised Person Re-identification
Optimization based on dialectics
A Local-to-Global Graph Neural Network for Major Depressive Disorder Classification from rs-fMRI
Object permanence: results from developmental robotics
Across-Sensor Feature Learning for Energy-Efficient Activity Recognition on Mobile Devices
Deep Multi-Scale Representation Learning with Attention for Automatic Modulation Classification
The knowledge instinct of autonomous adaptation
Concept drift detection based on equal density estimation
Two-cell cellular neural networks: generation of new hyperchaotic multiscroll attractors
Deep Learning for System Trace Restoration
When local isn't enough: extracting distributed rules from networks
Estuarine flood modelling using artificial neural networks
A Low-Memory Learning Formulation for a Kernel-and-Range Network
A learning system: Integrating ANN, OOKB and GA for decision support
Neuron-like digital hardware architecture for large-scale neuromorphic computing
Multiple model classification using SVM-based approach
Predictive Modeling in the Reservoir Kernel Motif Space
An Hybrid Clustering and BERT Model for Chinese Threads in Social Media