yusuke1997/dblp-id-title huggingface dataset:
Driving Scene Supplementary Class Balancing Network for Edge Driving Scene Recognition
Success factors determination for entrepreneurs in Santa Catarina by using neural networks
Self-Aware Smart Contracts with Legal Relevance
Hierarchical Dialogue State Tracking with Machine Reading Comprehension
Digital Twin-Based Deep Q-Learning Strategy for Smart Handover Optimization in 5G/6G Networks
Lossless image coding by cellular neural networks with backward error propagation learning
Variational learning of finite Beta-Liouville mixture models using component splitting
Derive local invariance transformations from SVM
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose Estimation
Approximation of a map and its derivatives with an RBF Network using input-output clustering
From categorical semantics to neural network design
Detection and diagnosis of broken rotor bars and eccentricity faults in induction motors using the Fuzzy Min-Max neural network
A Few-Shot Learning Approach for Sim2Real Martian Imagery Classification
Black Box Attacks on Explainable Artificial Intelligence(XAI) methods in Cyber Security
Neural networks and AdaBoost algorithm based ensemble models for enhanced forecasting of nonlinear time series
Solving Continual Learning with Noisy Labels by Sample Selection and Replay
Offline Textual Adversarial Attacks against Large Language Models
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System
Dynamics of oscillator network and its application to offset control of traffic signals
MSIA-SDiT3D: 3D Multi-Scale Interpolation Attention in Lightweight Diffusion Transformers for 3D Point Cloud Generation
A Dilated Convolution-based Denoising Network for Magnetic Resonance Images
A neural algorithm to solve the Hamiltonian cycle problem
Improved generalization in ANNs via use of conceptual graphs: a character recognition task as an example case
Towards Explainable Person-of-Interest-based Audio Synthesis Detection
On the learning of nonlinear visual features from natural images by optimizing response energies
I didn't mean what I wrote! Exploring Multimodality for Sarcasm Detection
Manifold regularization for structured outputs via the joint kernel
Adversarials -1 : Defending by Attacking
Summarizing Charts of Financial Document via Context-Aware Multi-Modeling
A General Framework for Symbol and Rule Extraction in Neural Networks
Time series prediction via two-step clustering
An Improved Relation Extraction Method Based on Information Control Injection and Attention-Guided Densely Connected Graph Convolutional Network
Repeated potentiality assimilation: Simplifying learning procedures by positive, independent and indirect operation for improving generalization and interpretation
Fuzzy associative learning of feature dependency for time series forecasting
Pixel characteristics based feature extraction approach for roadside object detection
Backpropagation with two-phase magnified gradient function
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals
BiFMNet: A Bi-Frequency Modeling Network for Time Series Forecasting
Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance
Multi-Modal Transformer with Skeleton and Text for Action Recognition
Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training
Classify Sentence from Multiple Perspectives with Category Expert Attention Network
Hyperbolic Knowledge Graph Embedding with Logical Pattern Learning
MRGAN: Multi-Criteria Relational GAN for Lyrics-Conditional Melody Generation
Transmission of spatio-temporal patterns from biological to artificial neural networks by a multi-electrode array
Designing Radial Basis Function Networks for Classification Using Differential Evolution
A Semantic-Oriented Pipeline for 3D Reconstruction of Vehicles in Urban Scenes
Spike timing dependent plasticity with memristive synapse in neuromorphic systems
FAMT: Fusion of Feature Attention Mechanisms and Multiscale Temporal Relationships for Traffic Accident Prediction
MS-KARD: A Benchmark for Multimodal Karate Action Recognition
Sonar-based place recognition using joint sparse coding method
Computational intelligence meets the NetFlix prize
Movie-ing the EEG: a Hybrid CNN-Transformer-based Framework for decoding EEG signals for BCI applications
Multi-resolution state-space discretization for Q-Learning with pseudo-randomized discretization
Weighted least square ensemble networks
An ensemble of classifiers approach for the missing feature problem
Structural adaptation for sparsely connected MLP using Newton's method
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
Weighted Rayleigh quotients for minor and principal component extraction
Modified State Observer Based Two-Way ETNAC Design For Uncertain Linear Systems
Classification and Clustering of Breast Cancer Images
Product design model for impact toughness estimation in steel plate manufacturing
An Agent-Based computational model of a self-organizing project management paradigm for research teams
Efficient supervised learning with reduced training exemplars
Spectral partitioning for boundary estimation
Neural network system for cloud classification from satellite images
A Self-tuning Controller for Real-time Voltage Regulation
Adversarial-Based Probabilistic Manifold Anomaly Detection Model for Mechanical Fault Diagnosis
Approximate dynamic programming for control of a residential water heater
ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks
Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization
Feature Visualization for 3D Point Cloud Autoencoders
MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery
An iterative learning scheme for multistate complex-valued and quaternionic Hopfield neural networks
Facial recognition application for border control
Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming
Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors
Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes
Neural computation with non-uniform population codes
Genetic learning of neural networks and its applications
Multi-Scale Feature Recognition and Lightweight Cotton Pest Detection Network Based on YOLOv10
Blind de-mixing real-time algorithm of piecewise time series mixture
Clustering algorithm using rough set theory for unsupervised feature selection
A Real-time Small Object Detection Model for UAV Aerial Images in Renewable Energy and Power Systems
Circular inhibition: a new concept in long-range interactions in the mammalian visual cortex
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models
MVMSFN: A Multi-View and Multi-Scale Fusion Network for Online Detection of Heterogeneous Gestures
Wav2DF-TSL: Two-stage Learning with Efficient Pre-training and Hierarchical Experts Fusion for Robust Audio Deepfake Detection
Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG
Time series prediction using ensembles of neuro-fuzzy models with interval type-2 and type-1 fuzzy integrators
SONA: A Bio-Inspired, Self-Organizing Connective Fabric for Neuromorphic Circuits and FPGAs
Benchmarking Retrieval-Augmented Generation: Challenging Domain-specific Datasets Generation Method
Neural Architecture Search based on Brain Storm Optimization Algorithm for Face Detection
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation
An integrated incremental self-organizing map and hierarchical neural network approach for cognitive radio learning
Enhanced Facilitatory Neuronal Dynamics for Delay Compensation
MIEEG-GAN: Generating Artificial Motor Imagery Electroencephalography Signals
e-Adaptive Dynamic Programming for discrete-time systems
Adaptive Mechanism Design: Learning to Promote Cooperation
Application of associative memory in human face detection
GaniX: Advancing GANimation through ConvNeXt features
Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes
Digital Twin-Based Methodology for Predictive Monitoring of Photovoltaic Systems: Integration of IoT, BIM, and GIS
Gesture based human multi-robot interaction
A variable-parameter neural network trained by improved genetic algorithm and its application
Tropical Cyclone Forecast using Angle Features and Time Warping
A sample partition method for learning to rank based on query-level vector extraction
Semi-supervised Min-Max Modular SVM
Aquaformer: Underwater Image Enhancement via Adaptive Transformer
Reputation-Aware Opportunistic Budget Optimization for Auction-based Federation Learning
A novel approach to reduce interconnect complexity in ANN hardware implementation
A speed-up algorithm for Poisson Propagation
Prototype based outlier detection
Increase the number of stable equilibrium points in a Hopfield-type neural network
Exploring a Federated Learning Approach to Enhance Authorship Attribution of Misleading Information from Heterogeneous Sources
Performance evaluation of a community structure finding algorithm using modularity and C-rand measures
Causal Analysis of Intellectual Complexity in Software Engineering
Metric representations of data via the Kernel-based Sammon Mapping
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection
CLIP-based Semantic Enhancement and Vocabulary Expansion for Video Captioning Using Reinforcement Learning
A learning algorithm with adaptive exponential stepsize for blind source separation of convolutive mixtures with reverberations
Augmented Lagrange Chaotic Simulated Annealing for Combinatorial Optimization Problems
Sparse support vector machines trained in the reduced empirical feature space
Object Detection with Extended Attention and Spatial Information
A connection-limited neural network by InfoMax and InfoMin
Maximizing Eye Segmentation Accuracy with YOLO
Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting
Hierarchical classification for dealing with the Class imbalance problem
Modeling Long- and Short-Term User Behaviors for Sequential Recommendation with Deep Neural Networks
Multivariate Models for Decoding Hearing Impairment using EEG Gamma-Band Power Spectral Density
Multi-Source Feature Fusion and Spatio-Temporal Unet for Precipitation Nowcasting
Graphical representation of cause-effect relationships among chemical process variables using a neural network approach
Critical echo state network dynamics by means of Fisher information maximization
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation
Analysis on extended kernel recursive least squares algorithm
Multi-agent Deep Reinforcement Learning for Fake News Detection
A self-scaling procedure in unsupervised correlational neural networks
Cinematographic construction by brains of knowledge from information
FPA-DNN: A Forward Propagation Acceleration based Deep Neural Network for Ship Detection
Adaptive learning based driving episode description on category maps
Incremental class learning-an approach to longlife and scalable learning
Intruder recognition using ECG signal
Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP
Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents
Bioinformatics-inspired non-parametric modelling of pharmacokinetics-pharmacodynamics systems using differential neural networks
Stochastic diagonal approximate greatest descent in neural networks
A method of detecting interaction between breeding cows from time-series bird's eye pictures of pasture
The Adaptive Critic Learning Agent (ACLA) algorithm: Towards problem independent neural network based optimizers
A Transformer-based Approach for Identifying Target-oriented Opinions from Travel Reviews
LHA: Layer-wise Hardware Acceleration of Progressive Quantizing Inference through Partial Reconfiguration for Edge Computing
Coherency detection and response segregation by synchronizing and desynchronizing delay connections in a neuronal oscillator model
Choosing a choice function: granting new capabilities to ART
Frequency-Based Error Back-Propagation in a Cortical Network
LLMs at the Edge: Performance and Efficiency Evaluation with Ollama on Diverse Hardware
A model for long-term environmental sound detection
Self-organizing neural-based fuzzy controller for transient stability of multimachine power systems using flywheel battery
Multi-agent systems applied to topological reconfiguration of smart power distribution systems
Boot.EXPOS in NNGC competition
Boosting KG-to-Text Generation via Multi-granularity Graph Representations
Image Alone Are Not Enough: A General Semantic-Augmented Transformer-Based Framework for Image Captioning
Harmonic envelope prediction for realistic speech synthesis using kernel interpolation
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM
Effective insect recognition using a stacked autoencoder with maximum correntropy criterion
RMFFNet: A Reverse Multi-Scale Feature Fusion Network for Remote Sensing Scene Classification
Energy Transduction Optimization of a Wave Energy Converter by Evolutionary Algorithms
S 3 AHI: Source-Free Domain Adaptive Small Object Detection with Slicing Aided Hyper Inference
Unregistered Face Discrimination by the Face Orientation and Size Recognition
Anomaly Detection by Recombining Gated Unsupervised Experts
Hy 2 CRE: Hypernetworks with Hybrid Data Augmentation for Continual Relation Extraction
Fast parzen window density estimator
Integrating multi-sensory input in the body model - A RNN approach to connect visual features and motor control
Accommodating Self-attentional Heterophily Topology into High- and Low-pass Graph Convolutional Network for Skeleton-based Action Recognition
Report on Preliminary Experiments with Data Grid Models in the Agnostic Learning vs. Prior Knowledge Challenge
TA4REC: Recurrent Neural Networks with Time Attention Factors for Session-based Recommendations
A modified Vector Quantization based image compression technique using wavelet transform
Semantic-Reconstructed Graph Transformer Network for Event Detection
A SOM Based Cluster Visualization and Its Application for False Coloring
Twin Neural Networks for Efficient EEG Signal Classification
Artificial Neural Networks For Dictionary Selection in Adaptive Greedy Decomposition Algorithms With Reduced Complexity
Motivated learning in autonomous systems
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors
Colorness index strategy for pixel fire segmentation
A neural supergranph matching architecture
Partitioned architectures for large scale data recovery
Columba: A New Approach to Train an Agent for Autonomous Driving
A network-based approach to detect spammer groups
Learning to Infer the Depth Map of a Hand from its Color Image
Multi-task Learning with Bidirectional Language Models for Text Classification
Optimal kernels for unsupervised learning
Discrete time neural control of a nonholonomic mobile robot integrating stereo vision feedback
Application of probabilistic neural networks to population pharmacokineties
Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
DOAD: An Online Dredging Operation Anomaly Detection Method based on AIS Data
Context-based tracking of object features
The German Traffic Sign Recognition Benchmark: A multi-class classification competition
Detection and classification of faults in induction generator applied into wind turbines through a machine learning approach
Intelligent visual servoing for nonholonomic mobile robots
Graph Topology Noise Aware Learning by Feature Clustering and Pseudo-labels Generator
Sufficient Conditions for Error Back Flow Convergence in Dynamical Recurrent Neural Networks
On the evaluation of dynamic selection parameters for time series forecasting
Correntropy supervised non-negative matrix factorization
FSMANet: Flash Shuffle Mix Attention Network for Human Sitting Posture Recognition
Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator
GDPR Impact on Computational Intelligence Research
Neuro-fuzzy learning of locust's marching in a Swarm
Incremental learning using self-organizing neural grove
NeckLymphNet: An Efficient Neck Lymph Node Detection Network for Ultrasound Images
Time series and neural networks comparison on gold, oil and the euro
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Neural nets, fuzzy and crisp, in the design of an artificial agent
Summary of the fuzzy Hopfield-Tank TSP model
Zhang Neural Network Model for Solving LQ Decomposition Problem of Dynamic Matrix With Application to Mobile Object Localization
Interpretation of Mesoscopic Neurodynamics by Simulating Conversion Between Pulses and Waves
Using parallel GPU architecture for simulation of planar I/F networks
Autonomous Navigational Controller Inspired by the Hippocampus
Command of visually guided 3D arm movements by the cerebral cortex
Multi-View Hallucinatory Feature Generation Network for Isolated Sign Language Recognition
Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
A Bio-inspired Computer Fovea Model based on Hexagonal-type Cellular Neural Networks
Understanding Feature Importance of Prediction Models Based on Lung Cancer Primary Care Data
Spikemax: Spike-based Loss Methods for Classification
Neural Hopfield-ensemble for multi-class head pose detection
Discriminant operators: emulation of visual receptive fields for the extraction of transitions in signals and images
Prompt-Learning for Cross-Lingual Relation Extraction
Low-Rank Adaptive Structural Priors for Generalizable Diabetic Retinopathy Grading
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs
Nonlinear Transformation for Multiple Auxiliary Information in Music Recommendation
Robust LS-SVR based on variational Bayesian and its applications
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection
Calculating the information content of a temporally modulated spike train
Feature extraction based on hierarchical growing neural gas for informationally structured space
Information-theoretic approach to multichannel signal extraction by multiple interference cancellation in electrochemical array data
Frequency control using on-line learning method for island smart grid with EVs and PVs
Improving ESVM with Generalized Cross-Validation
Towards enabling deep learning techniques for adaptive dynamic programming
In-training and post-training generalization methods: The case of ppar - α and ppar - γ agonists
EETnet: a CNN for Gaze Detection and Tracking for Smart-Eyewear
Character recognition using a dynamic opto-electronic neural network with unipolar binary weights
Image aesthetics assessment using Deep Chatterjee's machine
End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation
Towards Inference of Original Graph Data Information from Graph Embeddings
Identifying Anomalous Flight Trajectories by leveraging ensembled outlier detection framework
A music retrieval system based on the extraction of non trivial recurrent themes and neural classification
Representative-exploring Replay for Online Class-Incremental Continual Learning
Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks
Proxy-Aware Cross-Domain Sequential Recommendation
Automated Model Selection (AMS) on Finite Mixtures: A Theoretical Analysis
Social recommendation using Euclidean embedding
Prediction of The Gleason Group of Prostate Cancer from Clinical Biomarkers: Machine and Deep Learning from Tabular Data
Constructing mobile-oriented catalog in m-commerce using LDA-based self-adaptive genetic algorithm
Online Continual Learning for Control of Mobile Robots
VMS2-UNet: A Lightweight Non-Causal Vision Mamba2 Model with State Space Duality for Medical Image Segmentation
A comparative analysis of the performance of hybrid and non-hybrid multi-classifier systems
3D colour object reconstruction based on Growing Neural Gas
Improving the Performance of Neural Networks with an Ensemble of Activation Functions
Effective Deep Reinforcement Learning Setups for Multiple Goals on Visual Navigation
Increasing level of confidence of iris biometric matching
Simulation of bayesian learning and inference on distributed stochastic spiking neural networks
Automatic knowledge learning using Case-Based Reasoning: A case study approach to automatic train conduction
Classifiability based omnivariate decision trees
Document-Level Machine Translation with Effective Batch-Level Context Representation
A novel feature subspace selection method in random forests for high dimensional data
Homomorphic processing system and ratio rule for color image enhancement
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
Relation-Based Multi-Teacher Knowledge Distillation
A fast algorithm for finding global minima of error functions in layered neural networks
Time sensitivity and self-organisation in Multi-recurrent Neural Networks
DP-MuLP: A Differentially Private Framework for Link Prediction in Multiplex Networks
A Recurrent Reinforcement Learning Approach for Small Object Detection with Dynamic Refinement
Multi-scale Feature Relation Modeling for Facial Expression Restoration
FPGA Architecture Comparison for Non-Conventional Signal Processing
Neural network control for balancing performance of a single-wheel transportation vehicle
Robust Jordan network for nonlinear time series prediction
SSINet: Snapshot Spectral Imaging Method with Matrix Fusion Module for Face Anti-spoofing
Modelling retinal ganglion cells using self-organising fuzzy neural networks
Federated Learning Methodology for Indoor Location Systems in Multi-Layer Architecture
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
Probabilistic Multi-modal People Tracker and Monocular Pointing Pose Estimator for Visual Instruction of Mobile Robot Assistants
A brief survey of computational approaches in Social Computing
The k-server problem: a reinforcement learning approach
Band-pass Reservoir Computing
Fusion of biometric systems using one-class classification
Neural network prediction of the wave influence on the yaw motion of a ship
TSCNN: A 3D Convolutional Activity Recognition Network Based on RFID RSSI
Eye Gesture Based Communication for People with Motor Disabilities in Developing Nations
Effectiveness of Random Search in SVM hyper-parameter tuning
Application of SOM to analysis of Minnesota soil survey data
Multi-type Feature Mining and Fusion Model for Temporal Prediction
A New Multi-Class SVM Based on a Uniform Convergence Result
P-I2Prange: An Automatic Construction Architecture for Scenarios in I2P Ranges
Can an Image Tell the Tale: Looking Beyond the Haze to Determine PM2.5 Concentration
Evolution of NN for the Design of Virtual Agents under Limited Resources Constraints
Multivariate Time Series Classification via Hierarchical Graph Embedding
Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems
Distributed mean shift clustering with approximate nearest neighbours
Rotated General Regression Neural Network
A Multi-objective Perspective Towards Improving Meta-Generalization
An Optimized Modularity-Based High Level Classification Model
Various spike-trains from a digital spiking neuron: analysis of inter-spike intervals and their modulation
Generalized Wavelet Neural Network Model and its Application in Time Series Prediction
A model-selection approach to the VLSI design of vector quantizers