yusuke1997/dblp-id-title huggingface dataset:
Adversarial Domain Adaptation via Category Transfer
STVGN: Spatiotemporal Visibility Graph for Short-Term Traffic Speed Prediction
Wind turbine power estimation by neural networks with Kalman filter training on a SIMD parallel machine
Mapping and Masking Targets Comparison using Different Deep Learning based Speech Enhancement Architectures
A Novel Adaptive Neuro Fuzzy Inference System Based CPU Scheduler for Multimedia Operating System
Attribute-driven Interest Modeling for Sequential Recommendation
A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine
Novel Soft Sensor Model based on Spatio-Temporal Attention
Deep Spatio-Temporal Mutual Learning for EEG Emotion Recognition
Low-Resource Neural Machine Translation with Neural Episodic Control
Analysis of parametric images derived from genomic sequences using neural network based approaches
Distributed mining of the Internet for novel news: evolutionary community of news foragers
Self-Organizing Maps as Traveling Computational Templates
Neuromorphic models on a GPGPU cluster
JTFM: Joint Time-Frequency Method For Long-term Time Series Forecasting
A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice
PSM-nets: Compressing Neural Networks with Product of Sparse Matrices
Automated Keyphrase Generation for Brazilian Legal Information Retrieval
Manifold locality constrained low-rank representation and its applications
Robust bilinear matrix recovery by Tensor Low-Rank Representation
Learning to Deliberate: Multi-pass Decoding for Document-Grounded Conversations
A connectionist model of motivation
Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena
A self-organizing neural scheme for road detection in varied environments
Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
A weighted fuzzy petri net model for knowledge learning and reasoning
Teaching emotion expressions to a human companion robot using deep neural architectures
Emotion Dynamics Modeling via BERT
A supervised self-organizing map for structures
Wavelet Dual-Stream Network for Brain MR Image Super-Resolution
Time receiver operating characteristic (tROC) curves: A new tool for evaluating the performance of diagnostic systems
An oscillatory correlation model of object-based attention
IllumiCurveNet: Low-Light Image Enhancement of Lunar Permanently Shadowed Regions Using a Self-Guided Loss Framework
Spike Train Synchrony Analysis of Neuronal Cultures
Searching for microRNA prostate cancer target genes
Two Sites of Synaptic Integration: Relevant for Learning?
Understanding how deep neural networks learn face expressions
Adversarial Collaborative Auto-encoder for Top-N Recommendation
Efficient Routing in Sparse Mixture-of-Experts
A hybrid model for rodent spatial learning and localization
Strictly local backpropagation
Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training
Auto-associative memory based on a new hybrid model of SFNN and GRNN: Performance comparison with NDRAM, ART2 and MLP
Support Vector Classifier Using Basin-Based Sampling for Security Assessment of Nonlinear Power and Control Systems
Instinct-based PSO with local search applied to satisfiability
Analysis of neural response for excitation-inhibition balanced networks with reversal potentials for large numbers of inputs
AM-MobileNet1D: A Portable Model for Speaker Recognition
State and action space segmentation algorithm in Q-learning
Sub-classifier construction for error correcting output code using minimum weight perfect matching
Interpretable Time-series Classification on Few-shot Samples
Learning features from High Speed Train vibration signals with Deep Belief Networks
Bio-inspired meta-heuristic as feature selector in ensemble systems: A comparative analysis
EEG frequency analysis for dozing detection system
HGSVerb: Improving Zero-shot Text Classification via Hierarchical Generative Semantic-Aware Verbalizer
Growing Self-Organizing Maps for Surface Reconstruction from Unstructured Point Clouds
Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition
Overcoming Data Limitations and Cross-Modal Interaction Challenges in Medical Visual Question Answering
A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition
Gene trajectory clustering with a hybrid genetic algorithm and expectation maximization method
A General Closed-loop Predictive Coding Framework for Auditory Working Memory
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
Oscillatory model of the hippocampal memory
Unconstrained handwritten numeral recognition with improved radial basis neural network
Short-term plasticity in a liquid state machine biomimetic robot arm controller
A Hyperbolic Multilayer Perceptron
Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction
Decentralized nearly optimal control of a class of interconnected nonlinear discrete-time systems by using online Hamilton-Bellman-Jacobi formulation
Prototype optoelectronic Hamming neural network
Face Morphing via Adversarial Attack-based Adaptive Blending
Multiple SVM-RFE for multi-class gene selection on DNA Microarray data
Recognition of human physical activity based on a novel hierarchical weighted classification scheme
Local and Global Context Modeling with Relation Matching Task for Dialog Act Recognition
Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids
ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization
Effect of pre-training scale on intra- and inter-domain, full and few-shot transfer learning for natural and X-Ray chest images
Local properties of RBF-SVM during training for incremental learning
Mixed analog/digital chaotic neuro-computer prototype: 400-neuron dynamical associative memory
Building resilient classifiers for LSB matching steganography
Towards Personalized Aesthetic Image Caption
Super-resolution of 3D Magnetic Resonance Images by Random Shifting and Convolutional Neural Networks
Autonomous reinforcement of behavioral sequences in neural dynamics
A Recurrent Neural Network Based Model of Predictive Smooth Pursuit Eye Movement in Primates
Fault Tolerance Comparison of IDS Models with Multilayer Perceptron and Radial Basis Function Networks
Deteriorating neural connectivity of the hippocampal episodic memory network in mTBI patients: A cohort study
Toward industrial use of continual learning: new metrics proposal for class incremental learning
Selection of training samples for learning with hints
Application of independent component analysis to feature extraction of speech
Model predictive control of multi-robot formation based on the simplified dual neural network
Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding
FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences
Adaptation of barn owl localization system with spike timing dependent plasticity
Iris Recognition Independent of Rotation and Ambient Lighting Variations
Traffic sign classification using K-d trees and Random Forests
Sequential learning for associative memory using Kohonen feature map
Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning
Efficient Time Series Classification using Spiking Reservoir
Stock Price Manipulation Detection using Variational Autoencoder and Recurrence Plots
Optimal connectivity in hardware-targetted MLP networks
A Generative Approach to Audio-Visual Generalized Zero-Shot Learning: Combining Contrastive and Discriminative Techniques
MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards
Nonstationarity and Data Preprocessing for Neural Network Predictions of an Economic Time Series
Evolving linear neural networks for features space dimensionality reduction
Choice of initial bias in max-min fuzzy neural networks
Rich phenomena of pulse-coupled spiking neurons with triangular waveform input
Multiple Interacting Instantiations of Neuronal Dynamics (MIIND): a Library for Rapid Prototyping of Models in Cognitive Neuroscience
Optimizing the moving average
Few Shot Contrastive Spectral Clustering with Meta Learning and Neighbor Mining
Multi-stage Refined Graph Neural Network for Few-shot Anomaly Detection
ToP: a Structured Pathway for Document-level Information Extraction with Large Language Models
Vigilance adaptation in adaptive resonance theory
Multiagent Reinforcement Learning in the Iterated Prisoner's Dilemma: Fast cooperation through evolved payoffs
GLSI Texture Descriptor Based on Complex Networks for Music Genre Classification
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier
A Morlet wavelet classification technique for ICA filtered sEMG experimental data
Feature extraction in X-ray images for hazelnuts classification
Parameter compression of recurrent neural networks and degradation of short-term memory
Automatic forest species recognition based on multiple feature sets
An ordinal kernel trick for a computationally efficient support vector machine
Learning Minority Class prior to Minority Oversampling
Neural PD control with second-order sliding mode compensation for robot manipulators
Privacy Enhancement for Cloud-Based Few-Shot Learning
A neural network model for general minimax problem
A neural network left-inversion flux estimation for induction motor filed-oriented control
U-Net-Like Spiking Neural Networks for Single Image Dehazing
A multi-object optimization model of electricity fee payment site selection based on multiple payment methods
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Data Mining Paradigm Based on Functional Networks with Applications in Landslide Prediction
Receptive Field Aware Contrastive Learning for Multivariate Time Series Classification
New methods to train a BP network and their application
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack
Learning encoding and decoding filters for data representation with a spiking neuron
Multiscale Hebbian neural network for cyber threat detection
Interval arithmetic inversion: a new rule extraction algorithm
Executing Declarative Parallel Representations of Sequences with Temporal Pooling
Deep Clustering for scRNA-seq Analysis via Graph Attention Networks and Variational Autoencoders
Logistic regression and the Boltzmann machine
ANN in local secondary voltage control concept
Enhanced Self-supervised Graph Learning Algorithm for Social Recommendation
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods
Long-range navigation by path integration and decoding of grid cells in a neural network
Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization
Adaptive Graph Convolutional Networks with Attention Mechanism for Relation Extraction
TEMI-MOT: Towards Efficient Multi-Modality Instance-Aware Feature Learning for 3D Multi-Object Tracking
A hybrid dynamical system as an automaton on the fractal set
DeepNet: an ultrafast neural learning code for seismic imaging
Qualitative data clustering: a new Integer Linear Programming model
On the importance of binding
Catching Dynamic Heterogeneous User Data for Identity Linkage Learning
Expected similarity estimation for large scale anomaly detection
Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation
Neural networks for process identification
Combining Artificial Neural Network for diagnosing polluted insulators
Classifying malignant brain tumours from 1 H-MRS data using Breadth Ensemble Learning
A fuzzy autoassociative morphological memory
Enhancing Multi-Object Tracking with Spatiotemporal Graph Convolution and Trajectory Recovery
A Comparative Study of Classifiers for Thumbnail Selection
Clustering of receptive fields in Autoencoders
Transient dynamics of non-linear models describing multi-stable stochastic systems
Adaptive tree kernel by multinomial generative topographic mapping
Piecewise multi-linear fuzzy extreme learning machine for the implementation of intelligent agents
Extreme learning machine as a generalizable classification engine
Memristor crossbar based hardware realization of BSB recall function
Resolution and Distortion Compensation based on Sensor Evaluation for Interoperable Fingerprint Recognition
Multi-hop Attention GNN with Answer-Evidence Contrastive Loss for Multi-hop QA
Early detection of diseases in tomato crops: An Electronic Nose and intelligent systems approach
An End-to-End Location and Regression Tracker with Attention-based Fused Features
Selective potentiality maximization for input neuron selection in self-organizing maps
Behavior-prompted Learning with Tree Attention for Advanced Facial Action Unit Detection
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation
TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning
Trademark Image Retrieval Using a Combination of Deep Convolutional Neural Networks
Pointer Based Routing Scheme for On-chip Learning in Neuromorphic Systems
3D Super Resolution for Non-Isotropic Medical Image Through Multi-Input 3D ResUnet
Semi-supervised clustering with pairwise and size constraints
A topology preserving mapping for face recognition
Mental development and representation building through motivated learning
Wind ramp event prediction with parallelized gradient boosted regression trees
An analysis of Dynamic Cortex Memory networks
Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM
SOM-based Algorithm for Multi-armed Bandit Problem
Gender classification of human faces using inference through contradictions
Pattern coding based on firing times in a network of spiking neurons
MTAP-DK: Multivariate Time-Series Anomaly Prediction with Domain Knowledge
Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing
Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANs
A Framework for Asymmetrical DNN Modularization for Optimal Loading
Position Paper: Bounded Alignment: What (Not) To Expect From AGI Agents
LACNER: Enhancing Few-Shot Named Entity Recognition with Label Words and Contrastive Learning
Graph-theoretic networks for holistic information fusion
Collective behavior implementation in powerline surveillance sensor network
Properties of a chaotic network separating memory patterns
Wind shear forecasting by Chaotic Oscillatory-based Neural Networks (CONN) with Lee Oscillator (retrograde signalling) model
Detection of false data attacks in smart grid with supervised learning
Flowchart knowledge extraction on image processing
Sound-source localization system based on neural network for mobile robots
DualMixer: An Efficient and Robust Model for Multivariate Time Series Forecasting
An associative memory model of language
Text to phoneme alignment and mapping for speech technology: A neural networks approach
Learning Using Structured Data: Application to fMRI Data Analysis
A New Approach for Blind Separation of Convolutive Mixtures
Hybridization of Data and Model based Object Detection for Tracking in Flash Lidars
Application of neural networks in beam emission spectroscopy modelling
NCSE: Neighbor Contrastive Learning for Unsupervised Sentence Embeddings
Breast cancer histopathological image classification using Convolutional Neural Networks
Weightless Neural Network for High Frequency Trading
Feature Selection for Data Driven Prediction of Protein Model Quality
A simple platform of brain-controlled mobile robot and its implementation by SSVEP
Character Level based Detection of DGA Domain Names
Comparison of Probabilistic Models and Neural Networks on Prediction of Home Sensor Events
Learning Feature Alignment Architecture for Domain Adaptation
Hyperdimensional Computing Using Time-To-Spike Neuromorphic Circuits
Audio visual cues in driver affect characterization: Issues and challenges in developing robust approaches
Investigating the properties of optimal sensory and motor synergies in a nonlinear model of arm dynamics
Modified Support Vector Regression in outlier detection
Neuro-fuzzy analysis of dermatological images
IRGV: An Interpretable Reinforced Graph Contrastive Framework for Diagenetic Facies Identification
Supervisory level neural network identifier for a small power system with a STATCOM and a generator
Optimizing radial basis probabilistic neural networks using Recursive Orthogonal Least Squares Algorithms combined with Micro-Genetic Algorithms
TADS: Temporal Autoencoder Dynamic Series Framework for Unsupervised Anomaly Detection
Computational Intelligence in Adaptive Educational Hypermedia
Distribution-Guided Extraction for Cross-Platform Educational Knowledge Graph Construction
A fast discrete-time learning algorithm for speech enhancement using noise constrained parameter estimation
A Muscle-Reflex Model of Forelimb and Hindlimb of Felidae Family of Animal with Dynamic Pattern Formation Stimuli
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system
Basic Dynamics from a Pulse-Coupled Network of Autonomous Integrate-and-Fire Chaotic Circuits
Classical to Quantum Knowledge Distillation: a Study on the Impact of Hybridization
Relevance learning for short high-dimensional time series in the life sciences
Efficient segmentation in multi-layer oscillatory networks
Unsupervised learning for surveillance planning with team of aerial vehicles
Exploring Graph Representations in Machine Learning for Network Robustness Evaluation
Semi-supervised GANs for Fraud Detection *
CCH-YOLOX: Improved YOLOX for Challenging Vehicle Detection from UAV Images
Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks
Forecasting models of wind power in Northeastern of Brazil
DGFFM: Generalized Field-aware Factorization Machine based on DenseNet
Risk-Controlled Selective Prediction for Regression Deep Neural Network Models
Transductive learning algorithms for nonstationary environments
Using CNN To Classify Spectrograms of Seismic Events From Llaima Volcano (Chile)
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Self-Organizing Quantum Neural Network
Direct heuristic dynamic programming design with extreme learning machine
Norm-Based Generalization Bounds can be Arbitrarily Loose for Equivariant Tensor Networks
DMM: Dual-Modal Model for Person Re-Identification
Generalized Maximum Correntropy-Based Echo State Network for Robust Nonlinear System Identification
Comparison of EMD, MEMD and 2T-EMD by analyzing standard artificial signals and EEG
Robust Binary Encoding for Ternary Neural Networks Toward Deployment on Emerging Memory
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models
Appliance level demand modeling and pricing optimization for demand response management in smart grid
One-Shot Imitation Learning on Heterogeneous Associated Tasks via Conjugate Task Graph
Predictive Uncertainty in Environmental Modelling
Conditional Information Analysis
Neural Network vs. Linear Models for Stock Market Sectors Forecasting
Learning from the Best: High-Quality Sample Guidance for Oriented Object Detection
Information Enhanced Graph Convolutional Networks for Skeleton-based Action Recognition
A relational cascade correlation for structured outputs
SEMU-Net: A Boundary Semantic-Aware Network for Medical Image Segmentation
m-Power regularized least squares regression
Clustering, Assessment and Validation: an application to gene expression data
Transfer Learning by Weighting Convolution
Towards Predictive Analytics in Mental Health Care
TabMeta: A Novel Framework for Chart Generation Using Metadata and Enhanced Column Attention
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis
Autonomous mental development in high dimensional state and action spaces
A Hybrid Firefly Algorithm Based on Orthogonal Opposition
Deep Learning Based Approach for Fresh Produce Market Price Prediction
Span Graph Based on Contrastive Learning for Nested Named Entity Recognition
Dynamic multilayer neural network for nonlinear system identification
The Impact of Image Resolution on Facial Expression Analysis with CNNs
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine
Optimising a constrained echo state network using evolutionary algorithms for learning mental models of complex dynamical systems
Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification
Anomaly Detection using Distributed Log Data: A Lightweight Federated Learning Approach
Sentiment-aware Dual-flow Graph Convolutional Networks for Aspect Based Sentimental Analysis
Assessing Urban Environments with Vision-Language Models: A Comparative Analysis of AI-Generated Ratings and Human Volunteer Evaluations
Cognitive Modeling Based on Perceiving-Acting Cycle in Robotic Avatar System for Disabled Patients
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
Light Field Compression by Residual CNN-Assisted JPEG
Fault tolerance of feedforward artificial neural networks- a framework of study
Sleep learning and Max-Min aggregation of Evolving Connectionist Systems
LSTM with working memory
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
Hybrid Domain Meta-Learning Network for Face Forgery Detection and Localization in Deepfakes
CFCPalsy: Facial Image Synthesis with Cross-Fusion Cycle Diffusion Model for Facial Paralysis Individuals
Algorithmic trading behavior identification using reward learning method
Unmanned aerial vehicles (UAV) heading optimal tracking control using online kernel-based HDP algorithm
Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples
Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning
A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series
Automated galaxy classification in large sky surveys
Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy
Triple Discriminator GAN and Continuous Wavelet Transform for Volatility Forecasting
Modeling Human Reading in Conceptual Networks for Text Representation and Comparison
Distributed Drones Marine Emergency Search And Rescue Framework based on Probability Prediction Deep Reinforcement Learning
Extreme learning machine: a new learning scheme of feedforward neural networks
Improving Implicit Discourse Relation Recognition via Connective Prediction and Dependency-weighted Label Hierarchy
Adaptation of the generalized Carnot cycle to describe thermodynamics of cerebral cortex
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
NaviSOM: Automatic Construction of Navigational Structure for Web Pages using Self-organizing Maps
Feature Selection using Partial Least Squares regression and optimal experiment design
Theta rhythm selection of a dentate gyrus network model
Upper Bound on Pattern Storage in Feedforward Networks
Automatic language acquisition by an autonomous robot
The Role of Chaotic Neural Networks in EVSF-Network
FINE: LLM Prompt Tuning Fused with Internal and External Knowledge for EAE
A Novel Ergodic Sequential Logic CPG: Efficient FPGA Implementation and Realizations of Various Gaits and their Safe Transitions
Pattern grouping strategy makes BP algorithm less sensitive to learning rate