yusuke1997/dblp-id-title huggingface dataset:
Architectural requirements for threshold logic gates based on resonant tunneling devices
Data preprocessing for stock market forecasting using random subspace classifier network
Geometric approach of quasi-linear kernel composition for support vector machine
Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization
A Lightweight Object Detection Framework
Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks
Extracting Meaningful High-Fidelity Knowledge from Convolutional Neural Networks
Hierarchical Classification Feature Extraction for Moving Target Detection Using Radar Echo
Neural sliding mode control with finite time convergence
Learning in dynamic decision making: The usability process
Applications of neural network methods to the processing of Earth observation satellite data
Updating Depth-aware Feature in the Feedback Loop for Human Mesh Recovery
Neuro sliding mode based chatter free control for an artificial muscles robot arm
Post-Processing Methods to Enforce Monotonic Constraints in Ant Colony Classification Algorithms
A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling
KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
Reservoir computing ensembles for multi-object behavior recognition
Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction
A Visual Perceiving and Eyeball-Motion Controlling Neural Network for Object Searching and Locating
Spectral histogram based face detection
Generalized PatternAttribution for Neural Networks with Sigmoid Activations
TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity
A Light Ranker for Open-Domain Question Answering
Unsupervised nonparametric density estimation: A neural network approach
Neo fuzzy neuron filter aiming at reduction of a Gaussian-impulsive noise
Application of particle swarm optimizers to two-objective problems in design of switching inverters
Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection
Olfaction recognition by EEG analysis using differential evolution induced Hopfield neural net
Automatic detection of different walking conditions using inertial sensor data
Methodology Based on Texture, Color and Shape Features For Traffic Light Detection and Recognition
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks
Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks
Attribute Centered Multimodal Response Generation in a Dialogue System
Learning Bayesian networks to perform feature selection
"I'm Sorry Dave, I'm Afraid I Can't Do That" Deep Q-Learning from Forbidden Actions
An analytical alternative for SOM
A Neural Network based Audio Content Classification
Planning Large-scale Object Rearrangement Using Deep Reinforcement Learning
Towards Realistic Generation: A Multi-Task Agent for Imitating Diverse Character Linguistic Styles
Binary backpropagation in content addressable memory
Adaptive Multi-Domain Joint Decoding Algorithm for SSVEP Signal Classification
Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms
Neural networks in noisy environment: a simple temporal higher order learning for feed-forward networks
One-shot Hierarchical Global Pruning via Channel Relation-aware Attention
Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study
Canonical convolutional neural networks
A Novel Nonlinear Dynamical System Control Using Linear Controllers with Nonlinearity Eliminators
Improvement of reliabilities of regulations using a hierarchical structure in a genetic network
Context Quantization and Contextual Self-Organizing Maps
Out-of-distribution Data Detection using Bayesian Convolutional Neural Network with Variational Inference
Selection of important input parameters for a text-to-speech synthesis by neural networks
A comparison of image compression by neural networks and principal component analysis
PFR-VC: Learning-Based Video Compression Framework with Predicted Frame Refinement
Initializing multilayer perceptrons with interconnected neurons
Training of recurrent Internal Symmetry Networks by backpropagation
Motor-based autonomous grounding in a model of the fly optic flow system
Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures
Beyond probabilistic record linkage: Using neural networks and complex features to improve genealogical record linkage
Post nonlinear blind source separation by geometric linearization
A multi-agent metaheuristic hybridization to the automatic design of ensemble systems
Recurrent Neural Architecture Search based on Randomness-Enhanced Tabu Algorithm
Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal place cell
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces
Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles
Regularization Learning and Early Stopping in Linear Networks
A computationally fast Interval Type-2 Neuro-Fuzzy Inference System and its Meta-Cognitive projection based learning algorithm
Time series ordinal classification via shapelets
Solving Poker Games Efficiently: Adaptive Memory based Deep Counterfactual Regret Minimization
Imposing Connectome-Derived Topology on an Echo State Network
Improving Krum's Byzantine Resilience in Federated Learning via layerwise aggregation
APT: Adaptive Prefix-Tuning on Pretrained Models for Code Intelligence
Improving Mathematical Reasoning Abilities of Small Language Models via Key-Point-Driven Distillation
Zero-shot learning with a partial set of observed attributes
Document-level Relation Extraction with Entity Interaction and Commonsense Knowledge
Discrete Synapse Recurrent Neural Network with time-varying delays for nonlinear system modeling and its application on seismic signal classification
Extraction of event-related potentials from EEG signals using ICA with reference
Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking
General design approach to unit-linking PCNN for image processing
Deep forests with tree-embeddings and label imputation for weak-label learning
Soft Rotation Equivariant Convolutional Neural Networks
Revealing Causal Graph Structure in Pigeon Flocks Using Attentions in Temporal ConvNet
Neural vision sensors for surface defect detection
Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
An attractor neural network model of semantic fact retrieval
Basins of attraction revisited
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series
An insect brain computational model inspired by Drosophila melanogaster: Simulation results
Identification of Masses in Digital Mammograms with MLP and RBF Nets
Multimodal Deep Neural Network with Image Sequence Features for Video Captioning
A computational model of visual perception of surfaces
An End-to-end Framework for Few-shot Millimeter-wave Radar-based Hand Gesture Recognition
Thin Plate Spline Latent Variable Models for dimensionality reduction
DICENet: Fine-Grained Recognition via Dilated Iterative Contextual Encoding
Coordinating many agents in stochastic games
Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
Entity and Entity Type Enhanced Capsule Network for Distant Supervision Relation Extraction
Chaotic associative memory using internal patterns for image retrieval by color and shape information
Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor
Classification of the Italian Liras using the LVQ method
Cross-View Gait Recognition Based on U-Net
Binary classification based on SVDD projection and nearest neighbors
Perturbed Gradients Updating within Unit Space for Deep Learning
X-MLP: A Patch Embedding-Free MLP Architecture for Vision
Denoising auto-encoders toward robust unsupervised feature representation
Dual-Adaptive Fusion Multi-View Clustering Based on Graph Autoencoder
Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback
Long-tailed Image Classification on the Specimens of Herbarium Dataset
Effect of Obfuscation on Human Pose Estimation Models: Can We Balance Privacy and Accuracy?
An evolutionary clustering technique with local search to design RBF neural network classifiers
Probabilistic matching: Causal inference under measurement errors
Relational reinforcement learning and recurrent neural network with state classification to solve joint attention
BIT: Improving Image-text Sentiment Analysis via Learning Bidirectional Image-text Interaction
Building Artificial CPGs with Asymmetric Hopfield Networks
Single image super-resolution via learned representative features and sparse manifold embedding
An efficient method for placement of VLSI designs with Kohonen map
An Incremental Learning Algorithm of Ensemble Classifier Systems
DisQu: Investigating the Impact of Disorder in Quantum Generative Models
Fixed Points of Autoassociative Morphological Memories
Utilizing Computational Intelligence for DJIA Stock Selection
Autonomous reinforcement learning on raw visual input data in a real world application
Generalization capability of one and two hidden layers
Detection of event onset using Twitter
Chinese Sentence Matching with Multiple Alignments and Feature Augmentation
Comparison of Real-time Online and Offline Neural Network Models for a UAV
Arithmetic Circuit Classification Using Convolutional Neural Networks
TULSN: Siamese Network for Trajectory-user Linking
Channel Pruning via Multi-Criteria based on Weight Dependency
Concept Description - A Fresh Look
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network
Modeling Cortical Maps with Feed-Backs
A generalized Markov Chain modeling approach for on board applications
A simplified recurrent neural network for solving nonlinear variational inequalities
Angular Triplet Loss-based Camera Network for ReID
Bayesian Neural Network with and without compensation for competing risks
Solving the tag assignment problem for neural networks with simulated assemblies of minicolumns
Localizing of Anomalies in Critical Infrastructure using Model-Based Drift Explanations
Combining locally trained neural networks by introducing a reject class
One-Class Classification for Selecting Synthetic Datasets in Meta-Learning
Mediated and multi-level information processing
Towards a unified neurobiological theory of creative problem solving
On-Line EM Reinforcement Learning
Helicopter load signal and fatigue life estimation using low dimensional spaces
MDAFusion: Multi-scale Dual Attention Feature Fusion for Multispectral Object Detection
A neural network approach to the control of the plate width in hot plate mills
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network
CombinedNet: A Hybrid Model for Deepfake Audio Detection Using Deep Learning Techniques
Possibility of synchronization in Hopfield like Chaotic Neural Networks with just adding a single neuron
Speeding up feature selection: A deep-inspired network pruning algorithm
Reservoir Computing in Real-World Environments: Optimizing the Cost of Offline and Online Training
CSRDNN: An Integrated Scheme for Single Satellite Image Colorization and Super-Resolution Using Deep Neural Networks
Bayesian perception of touch for control of robot emotion
Approximating rail locomotive dynamics using the SOCM network
Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction
SGLCMR: Self-supervised Graph Learning of Generalized Representations for Cross-Market Recommendation
Optical Flow Estimation through Fusion Network based on Self-supervised Deep Learning
Facial Image Reconstruction from Functional Magnetic Resonance Imaging via GAN Inversion with Improved Attribute Consistency
Hardware implementation of Spiking Neural Network classifiers based on backpropagation-based learning algorithms
Data-Free Backdoor Model Inspection: Masking and Reverse Engineering Loops for Feature Counting
A framework for developing Neural Networks based mobile appliances
A data compression system using neural network based architecture
n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem
Training Ensembles of Quantum Binary Neural Networks
An unsupervised material learning method for imaging spectroscopy
Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation
Collaborative Management for Spatial Safety for Unmanned Intelligent Vehicles in Human-Machine Coexistence Environment
The conic-segmentation support vector machine - a target space method for multiclass classification
A study on asynchronous system in P300 speller based on user's intention of input
A Point Cloud Classification Model Based on Dynamic Graph Attention Convolution and Multi-Feature Fusion
Therapeutic drug dosing prediction using adaptive models and artificial neural networks
Measuring Semantic Similarity Between Sentences Using A Siamese Neural Network
Using an artificial neural network to predict necrotizing enterocolitis in premature infants
Parallel learning of large-scale multi-label classification problems with min-max modular LIBLINEAR
Multitask Adversarial Learning for Chinese Font Style Transfer
Odor detection using pulse coupled neural networks
Discrete Auto-regressive Variational Attention Models for Text Modeling
Chaotic Multidirectional Associative Memory with adaptive scaling factor of refractoriness
Convolutional Neural Networks Do Work with Pre-Defined Filters
A new hybrid neural architecture (MLP+RPE) for hetero association: multi layer perceptron and coupled recursive processing elements neural networks
A computational model of synaptic metaplasticity
EA-VTP: Environment-Aware Long-Term Vessel Trajectory Prediction
Syntax-Informed Interactive Neural Machine Translation
Latent learning - What your net also learned
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment
FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search
The neural-SIFT feature descriptor for visual vocabulary object recognition
Accelerating pattern matching in neuromorphic text recognition system using Intel Xeon Phi coprocessor
PointLCA-Net: Using Point Clouds for Energy Efficient Sparse Spatio-Temporal Signal Recognition in Neuromorphic Systems
Information maximization and cost minimization in information-theoretic competitive learning
Si elegans: Evaluation of an innovative optical synaptic connectivity method for C. elegans Phototaxis using FPGAs
Using independent subspace analysis to build independent spectral representations of images
Enhancing AI-Driven Education: Integrating Cognitive Frameworks, Linguistic Feedback Analysis, and Ethical Considerations for Improved Content Generation
Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning
QuantBEVFusion: A Fully Quantized Framework for LiDAR-camera 3D Object Detection
A mutual information kernel for sequences
Dirichlet Mixture Model of Hawkes Processes Based Patent User Role Discovery Model
Adaptive conversion of real-valued input into spike trains
Deep Neural Networks for Malicious JavaScript Detection Using Bytecode Sequences
When Hearing the Voice, Who Will Come to Your Mind
Interpretable Deep Convolutional Neural Networks via Meta-learning
Sparse methods for wind energy prediction
3D modeling of virtualized reality objects using neural computing
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
Application of Artificial Neural Network (ANN) to PA Lifespan: Forecasting Models
MFGCL: Light graph contrast learning with multi-feature information for recommendation
Evolving Connectionist Systems can predict outbreaks of the aphid Rhopalosiphum padi
PerTime: A Multi-scale Periodic Mixing Model for Long-term Time Series Forecasting
Enhancing Sparsity of Support Vector Machines by Ridge Regression
A Modified Hopfield Model for Solving the N-Queens Problem
Unsupervised Speech Unit Boundary Detection Guided by Linguistic Rule Knowledge
The hippocampus and the brain: a neural network model
A digital multilayer neural network with limited binary expressions
Recognizing Scoring in Basketball Game from AER Sequence by Spiking Neural Networks
CMB: A Novel Structural Re-parameterization Block without Extra Training Parameters
Reducing User Log size in an Inter-Query Learning Content Based Image Retrieval (CBIR) System with a Cluster Merging approach
Self-organizing hierarchical feature maps
Bidirectional Learning for Robust Neural Networks
OFA 3 : Automatic Selection of the Best Non-dominated Sub-networks for Ensembles
EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments
Neurosphere fate prediction: An analysis-synthesis approach for feature extraction
Memory in reservoirs for high dimensional input
An instruction language for the explicit programming of axonal growth patterns
CS-ARF: Compressed Adaptive Random Forests for Evolving Data Stream Classification
Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations
Stability and Limit Cycles of Fuzzy Inferences in a Recurrent Petri-like Neural Network
Enhanced YOLOv7 for UAV Platforms: Achieving High Precision with Low Resource Utilization
Bilinear Semi-Tensor Product Attention (BSTPA) model for visual question answering
Deep Recurrent Interpolation Networks for Anomalous Sound Detection
Towards a tactile communication system with dialog-based tuning
An End-to-End Robotic Visual Localization Algorithm Based on Deep Learning
Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces
Improved Stochastic Synapse Reinforcement Learning for Continuous Actions in Sharply Changing Environments
Kernel based subspace pattern classification
Error propagation in fractal neural networks
The effect of quantization on support vector machines with Gaussian kernel
Efficient conformal regressors using bagged neural nets
TV-MDiff: A Zero-Shot Text-To-Speech and Zero-Shot Voice Conversion System with Mamba-Based Diffusion Model
Dual-Strategy Knowledge-Semantics Guided Network for Video Captioning
Distributed Behavior-based Multi-agent System for Automatic Segmentation of Brain MR Images
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold
Topological Gradient-based Competitive Learning
ConstraintMatch for Semi-constrained Clustering
The Neurodynamics of the Hippocampal Place Fields
An Accurate, Explainable and Efficient Vision Transformer with Feature Selection and Class Activation Mapping
Mixture of heterogeneous experts applied to time series: a comparative study
Practical Nonlinear Model Predictive Control Using an Echo State Network Model
Active Learning for Video Classification with Frame Level Queries
Multiway analysis of EEG artifacts based on Block Term Decomposition
Hand gesture modelling and tracking using a Self-Organising Network
A model of neurobiologically plausible least-squares learning in visual cortex
An ensemble based incremental learning framework for concept drift and class imbalance
Active learning strategies using SVMs
Time-frequency characterization of multi-channel dynamic sEMG recordings by neural networks
Localized Feature Ranking approach for Multi-Target Regression
Cloud based activity monitoring system for health and sport
An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization
Resilient Word-Embedding Alignment for BERT with Character-Based Layer in Noisy Environments
A methodology for finding source-level vulnerabilities of the Linux kernel variables
Building Neural Network Ensembles using Genetic Programming
Decoding Subjective Creativity Skill from Visuo-Spatial Reasoning Ability Using Capsule Graph Neural Network
Neural network development foundations for low airspeed prediction
AwmFace: Adaptive Weighting Margin for Deep Face Recognition
Deep Spiking Neural Network with Adaptive Temporal Feature Fusion for Energy-efficient Event-based Person Re-Identification
Neural numerical modeling for uncertain distributed parameter systems
Multi-frequency sinusoidal wave control in a chaotic neural network
A new learning rule for classification of spatiotemporal spike patterns
Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning
Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Dynamic behaviors of hybrid Lotka-Volterra recurrent neural networks with memristor characteristics
Simulation of a Digital Neuro-Chip for Spiking Neural Networks
Mesoscopic Approach to Locally Hopfield Neural Networks in Presence of Correlated Patterns
Event-Guided Attention Network for Low Light Image Enhancement
Hardware implementation of stochastic-based Neural Networks
Cognitive functions of aesthetic emotions
Two neural network paradigms of phoneme transcription - a comparison
Modelling constant and cell-type specific CTCF sites by using Convolutional Neural Networks
Slow Coherency and Angle Modulated Particle Swarm Optimization Based Islanding of Large Scale Power Systems
Timing-based control via echo state network for soft robotic arm
GENSOFNN-YAGER: A Novel Hippocampus-like Learning Memory System Realizing Yager Inference
Validity index in dynamic cell structures
A Bag-Instance Network for Dysarthria Detection
A Study on Learning with a Quantum Neural Network
Hermite neural network-based intelligent sensors for harsh environments
Analytical form of Fisher information matrix of bipoloar-activation-function-based multilayer perceptrons
On-device Filtering of Social Media Images for Efficient Storage
A Simple and Effective Method for Uncertainty Quantification and OOD Detection
Simultaneously Detecting Node and Edge Level Anomalies on Heterogeneous Attributed Graphs
Combination of supervised and unsupervised algorithms for communication systems with linear precoding
Neural network separation of temporal data
Logic-based AI for Interpretable Board Game Winner Prediction with Tsetlin Machine
SECL: Separated Embedding and Correlation Learning for Demographic Prediction in Ubiquitous Sensor Scenario
Improved human pulse peak estimation using derivative features for noncontact pulse transit time measurements
Sequential Recommendation with Context-Aware Collaborative Graph Attention Networks
Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection
RevPose: A Multi-Stage Reversible Networks for Human Pose Estimation
Squeezed Deep 6DoF Object Detection using Knowledge Distillation
Feasibility of multi-layered perceptron network in discriminating breast magnetic resonance imaging lesions
Recognition of on-line handwritten chemical expressions
Remote Dependency Information Enhanced for Session Recommendation
Transfer Learning in Financial Time Series with Gramian Angular Field
A pooled subspace mixture density model for pattern classification in high-dimensional spaces
Learning from semantically dependent multi-tasks
Packing equal circles in a damaged square
Forecasting Hypoxia Events in North Atlantic Ecosystems Using Chaotic Dynamics
Compressive Recovery Defense: Defending Neural Networks Against ℓ2, ℓ∞, and ℓ0 Norm Attacks
RBFNN-Based Hole Identification System in Conducting Plates
Fusing neuromorphic motion detector outputs for robust optic flow measurement
Optimized Local Updates in Federated Learning via Reinforcement Learning
Enhanced Short-Term Precipitation Forecasting Using the Advanced TripFormer Measure
Siamese Deep Dictionary Learning
Dual Head Adversarial Training
Modular Self-Supervised Learning for Hand Surgical Diagnosis