yusuke1997/dblp-id-title huggingface dataset:
Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals
Enhanced Biomedical Relation Extraction with Semantic and Descriptive Knowledge
CRS3D: Consistency Regularization for Sparsely-supervised 3D object detection
Aggregation Connection Network For Tiny Face Detection
Neuron Weight Dynamics in the SOM and Self-Organized Criticality
Two-Stream Convolution Neural Network with Video-stream for Action Recognition
Binary MOGWO Based On Competition and Teaching for Computationally Complex Engineering Applications
CEMDQN: Cognitive-inspired Episodic Memory in Deep Q-networks
Predicting Conversation Outcomes Using Multimodal Transformer
A Neural Network-Based Pipeline Parallel Strategy Solver for Heterogeneous Environments
Evolution of Real Valued Weights for RBF-DDA Networks
A Framework for Identifying Diabetic Retinopathy Based on patch attention and lesion location
On the interplay between "learning, memory, prospection and abstraction" in cumulatively learning baby humanoids
A fully approach for key variables identification of EMG evaluation signal
A learning method for synthesizing associative memory in neural networks
Self-Organization in the SOM and Lebesque Continuity of the Input Distribution
An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms
Multi-Objective Molecular Design in Constrained Latent Space
Demystifying Numenta anomaly benchmark
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses
Effective Linear Policy Gradient Search through Primal-Dual Approximation
Employing dropout regularization to classify recurring drifted data streams
Semantic-Level Temporal Question Answering over Knowledge Graphs
TG-Transformer: A Graph Transformer for Token Transaction Risk Detection with Bi-Level Attention
Self-adaptive neural architectures for control applications
EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband
Modeling transcription termination of selected gene groups using support vector machine
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours
Attribute grammar encoding based upon a generic neural markup language: facilitating the design of theoretical neural network models
GAP-WF: Graph Attention Pooling Network for Fine-grained SSL/TLS Website Fingerprinting
Automatic speech recognition and dependency network to identification of articulation error patterns
A fully parallel learning neural network chip for real-time control
Sequence Metric Learning as Synchronization of Recurrent Neural Networks
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding
Aspect-aware Asymmetric Representation Learning Network for Review-based Recommendation
Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network
Spatio-temporal pattern recognition in neural circuits with memory-transistor-driven memristive synapses
Linear and Fisher Separability of Random Points in the d-dimensional Spherical Layer
A bio-inspired method for object representation
Dense Video Captioning with Hierarchical Attention-Based Encoder-Decoder Networks
Alzheimer's Disease Detection via a Surrogate Brain Age Prediction Task using 3D Convolutional Neural Networks
Issues on sampling negative examples for predicting prokaryotic promoters
Using domain knowledge to constrain structure learning in a Bayesian bioagent detector
MaxMinOver: a simple incremental learning procedure for support vector classification
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection
2D order of self-organizing Kristal maps
A data-centric approach for predicting individual outcomes in a multi-party legislative system
Deep, super-narrow neural network is a universal classifier
Counterfactual Explanations of Neural Network-Generated Response Curves
Learning Topological Representation for Networks via Hierarchical Sampling
Investigating the emergence of shared attention through an embodied computational modeling approach: a progress report
Fuzzy least squares support vector machines
TaCoD: Tasks-Commonality-Aware World in Meta Reinforcement Learning
Time Series Anomaly Detection Based on Contrastive Learning
Cooperative multi-scale Convolutional Neural Networks for person detection
Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms
Pixel Rows and Columns Relationship Modeling Network based on Transformer for Retinal Vessel Segmentation
Chemical Safety Sign Detection: A Survey and Benchmark
A reduced rule-based localist network for data comprehension
Synchronized chaos in coupled neuromodules of different types
An improved Voronoi-diagram based neural net for pattern classification
Pulse-Type Hardware Inhibitory Neural Networks for MEMS micro robot using CMOS technology
Human action recognition using transfer learning with deep representations
Low-discrepancy Sampling for Full Reference Image Quality Assessment Speed Up
BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition
Input space versus feature space in kernel-based interval fuzzy C-Means clustering
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique
Sliding window-based analysis of multiple foreign exchange trading systems by using soft computing techniques
A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks
Deep Barcodes for Fast Retrieval of Histopathology Scans
Initial-Key Cache: An Efficient KV Cache Strategy Focusing on Initial and Key Tokens for LLMs
Quick Sense Temporal Graph Transformer with Effective Representation Augmentation
Boosting with cross-validation based feature selection for pedestrian detection
An efficient lightweight deep neural network for real-time object 6D pose estimation with RGB-D inputs
Noisy hidden Markov models for speech recognition
Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition
2-D Time Series Model Based Support Vector Machine for Remote Sensing Image Segmentation
A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation: The Breast Cancer Classification Problem
Tolerating Device-to-Device Variation for Memristive Crossbar-Based Neuromorphic Computing Systems: A New Bayesian Perspective
Sparse kernel principal component analysis based on elastic net regularization
Learning of composite actions and visual categories via grounded linguistic instructions: Humanoid robot simulations
Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards
Automata Computation with Hodgkin-Huxley Based Neural Networks Composed of Synfire Rings
Combining global optimization algorithms with a simple adaptive distance for feature selection and weighting
Mitigating Channel Redundancy for Multivariate Time Series Forecasting
Compositional neural-network modeling of complex analog circuits
Multi-source Representation Enhancement for Wikipedia-style Entity Annotation
Towards An Integrated Framework for Neural Temporal Point Process
Attack Characterization and Intrusion Detection using an Ensemble of Self-Organizing Maps
On Ensemble Techniques for Data Stream Regression
On the transformation mechanisms of multilayer perceptrons with sigmoid activation functions for classifications
Test Time Prompt Adaption for Domain Generalization
Heading Direction Estimation Using Deep Learning with Automatic Large-scale Data Acquisition
Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization
An Evolving Automaton for RNA Secondary Structure Prediction
Neural classifier for larvae recognition
Multisensor fusion classification with a multilayer perceptron
Blind dereverberation of speech signals using independence transform matrix
A motion trajectory based video retrieval system using parallel adaptive self organizing maps
Chaos of protein folding
Parameter Specification for Fuzzy Clustering by Q-Learning
Efficient and Scalable Exploration via Estimation-Error
Out-of-sample eigenvectors in kernel spectral clustering
A Mean Field Approach to MAP in Belief Networks
Online Multi-Object Tracking with United Siamese Network and Candidate-Refreshing Model
Deblur-YOLO: Real-Time Object Detection with Efficient Blind Motion Deblurring
Hexpo: A vanishing-proof activation function
Cross-Patch Relation Enhanced for Weakly Supervised Semantic Segmentation
Topographic ICA as a Model of V1 Receptive Fields
Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent
Automatic Tag Recommendation for Painting Artworks Using Diachronic Descriptions
Genetic learning of functional link networks
Few-shot Anomaly Detection Based on Diffusion Generation Model and Multi-scale Feature Manipulation
Multi-objective machine training based on Bayesian hyperparameter tuning
Gene selection and classification by entropy-based recursive feature elimination
Classification of magnetic resonance spectra using parallel randomized feature selection
Traffic sign recognition - How far are we from the solution?
Unsupervised Feature Vector Clustering Using Temporally Coded Spiking Networks
Parallel Clustering on a Commodity Supercomputer
Tightly-coupled convolutional neural network with spatial-temporal memory for text classification
Preserve Individuality: A Video Anomaly Detection Method Based on Pseudo Anomalies and Difference Learning
Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration
A Multi-Task Learning Framework for Multi-View Predictive Business Process Monitoring
Document clustering using hierarchical SOMART neural network
Mobile humanoid agent with mood awareness for elderly care
RSAM-UNETR: Transformers for Road Segmentation for self driving cars using Residual Spatial Attention Module
A multistage collaborative filtering method for fall detection
Spectral feature analysis
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks
Real-time hand gesture recognition with Kinect for playing racing video games
Reconstructing Optical Flow Generated by Camera Rotation via Autoassociative Learning
A neural network-based sequential Bayes classifier for moving target discrimination
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis
A Two-stream Channel Cross Enhancement Network for Diabetic Retinopathy Classification
Intelligent systems for meteorological events forecast
Unleashing the Potential of Attention Model for News Headline Generation
DSF-Net: Dual-Path Spatial Attention Feature Fusion Network For Building Extraction From Remote Sensing Images
Trust region nonlinear optimization learning method for dynamic synapse neural networks
An approach for generalizing knowledge based on rules with priority orders
Music genre classification using On-line Dictionary Learning
Self-structured confabulation network for fast anomaly detection and reasoning
Learning probability density functions from marginal distributions with applications to Gaussian mixtures
Simple and efficient parallelization for probabilistic temporal tensor factorization
Tiny Drone Detection from Videos with Tracking-Based Temporal Lost Compensation
Adaptive Neural Consensus Control for Nonlinear Strict-Feedback Multiagent Systems With Switching Directed Topology
Flexible Contribution Estimation Methods for Horizontal Federated Learning
Value estimation based computer-assisted data mining for surfing the Internet
A Two-step Model for Drug-Target Interaction Prediction with Predictive Bi-Clustering Trees and XGBoost
Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Multi -Turn Response Selection with Temporal Gated Graph Convolutional Networks
Anomaly Machine Component Detection by Deep Generative Model with Unregularized Score
Metric learning for multi-instance classification with collapsed bags
Context-Aware Network for 3D Human Pose Estimation from Monocular RGB Image
Image Captioning According to User's Intention and Style
Convolutional Neural Networks for Energy Time Series Forecasting
Self-reorganizing TSK fuzzy inference system with BCM theory of meta-plasticity
Locally coupled chaotic oscillator network for scene segmentation
Unsupervised Graph Anomaly Detection on Directed Attribute Network
Functional Locality Preserving Projection for Dimensionality Reduction
Time Series Forecasting Based on Structured Decomposition and Variational Autoencoder
Solving Math Word Problems Following Logically Consistent Template
The creativity effect: Consciousness versus attention
Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences
Agent-SwinTF : An Agent-Based 3D Swin Transformer for Multi-Aircraft Trajectory Prediction in Game Scenarios
Particle Tracking Velocimetry Using Cellular Neural Network
Adv-IFD: Adversarial Attack Datasets for An Intelligent Fault Diagnosis
Defensive Bit Planes: Defense Against Adversarial Attacks
A new framework for modeling learning dynamics
µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression
DEN-DQL: Quick Convergent Deep Q-Learning with Double Exploration Networks for News Recommendation
An Adversarial Attack Detection Paradigm With Swarm Optimization
A synchronous high-speed, high-accuracy, loser-take-all circuit
Dependent syntactic analysis of Mongolian based on semi-supervised self-training
Incremental learning for feature extraction filter mask used in similar pattern classification
Local-to-global topological methods in data analysis and applications to fMRI of human brain
Perturbation theory for stochastic learning dynamics
Medical Image Segmentation using a Self-organizing Neural Network and Clifford Geometric Algebra
Neuromorphic system with phase-change synapses for pattern learning and feature extraction
CycleSAR: SAR Image Despeckling as Unpaired Image-to-Image Translation
Inverse Optimal Control Using A Neural Multi-Step Predictor For T1DM Treatment
A neural network approach to prediction of psychological performance in frequency discrimination
Improving Medical Question Summarization through Re-ranking
GeNGuide: Generalized Neighbour Guidance Framework for Noisy Class Incremental Learning
Deep Learning Strategies For Rare Drug Mechanism of Action Prediction
Deep Learning Car Driver Motion Magnified Saccadic Eye Movements for Advanced Driving Assistance System
Neural networks for model predictive control
Learning process of Affordable Neural Network for backpropagation algorithm
Bio-inspired hierarchical framework for multi-view face detection and pose estimation
Hey Pentti, We Did (More of) It!: A Vector-Symbolic Lisp With Residue Arithmetic
Recurrent neural networks can learn simple, approximate regular languages
A novel Reservoir Architecture for Periodic Time Series Prediction
Trasnet : A lightweighting Spatio-temporal Attention Network for Traffic Flow Prediction
New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification
Semantic Retention and Extreme Compression in LLMs: Can We Have Both?
Using Chou's amphiphilic Pseudo-Amino Acid Composition and Extreme Learning Machine for prediction of Protein-protein interactions
Solving Raven's Progressive Matrices with Multi-Layer Relation Networks
Improved Techniques for Building EEG Feature Filters
Data-driven study of mouse sleep-stages using Restricted Boltzmann Machines
Towards a patient satisfaction based hospital recommendation system
Neural networks for gene expression analysis and gene selection from DNA microarray
Do Deep Networks Really Need Complex Modules for Multilingual Sentiment Polarity Detection and Domain Classification?
Evolutionary extreme learning machine based on particle swarm optimization and clustering strategies
A tuning algorithm for the PID controller utilizing fuzzy theory
FastAct: A Lightweight Actor Compression Framework for Fast Policy Learning
Two-stage Multi-class AdaBoost for Facial Expression Recognition
TF-ChineseECE: A Chinese Event Causality Extraction Method Combining Roberta and Bi-FLASH-SRU
Learning to generate temporal sequences by models of frontal lobes
Forecasting of photovoltaic power yield using dynamic neural networks
Self-KT: Self-attentive Knowledge Tracing with Feature Fusion Pre-training in Online Education
Noise supplement learning algorithm for associative memories using multilayer perceptrons and sparsely interconnected neural networks
A bounded neural network for open set recognition
Accelerating cogent confabulation: An exploration in the architecture design space
Resources-Efficient Accelerated K-Asynchronous Adaptive Federated Learning
Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring
Generating full-view face images from a single-view image
Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition
FADD-Net:Multimodal Sentiment Analysis Based on Feature Alignment and Differential Decoupling
What can memorization learning do?
Invariant and Sufficient Supervised Representation Learning
Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments
End to End Sign Language Translation via Multitask Learning
A new EM algorithm using Tikhonov regularization
AINS: architecture independent neuron selection
Analysis of Search Space Design for Neural Architecture Search with Weight Sharing
CDE-CCL: A Classroom Dialogue Evaluation Framework for Chinese Core Literacy via LLM
A fast method for saliency detection by back-propagating a convolutional neural network and clamping its partial outputs
Feature selection based on kernel pattern similarity
Neural Modeling Fields, Evolution of Consciousness and Cultures
HyperSR: A Hypernetwork Based Framework for Image Super-Resolution
HCRNet: Hybrid Collaborative Relation Network for Egocentric Hand-Object Segmentation
Modularity optimization by Global-Local Search
How can a robot evaluate its own behavior? A neural model for self-assessment
System-Type Neural Network Architectures for Power Systems
Cross-modal Metric Learning with Graph Embedding
Whole-house Non-Intrusive Appliance Load Monitoring via multi-label classification
Characterization measures of ensemble systems using a meta-learning approach
The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data
A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement
Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores
SR 2 Net: A Separatable Reconstruction Residual Network Based on Channel Attention for PET and MRI Image Fusion
SleepEFT: Signal Reconstruction and Contrastive Learning for Sleep Staging
Fuzzy entropy semi-supervised support vector data description
HLNet: Modeling High and Low Frequencies for Scene Parsing
Camera Coach: Activity Recognition and Assessment Using Thermal and RGB Videos
DualPSNet: A Discrepant-Annotations-Driven Framework for Medical Image Segmentation from Dual-Polygon Supervision
A HMM training algorithm with query-based learning for refinement of classification boundary
Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data
Strategic Behavioral Deception in Cooperative-Competitive Multi-Agent Systems
Code Pointer Network for Binary Function Scope Identification
Improved maximum inner product search with better theoretical guarantees
A Bayesian Algorithm for Motion and Structure Estimation from Image Sequences
Fuzzy hidden Markov predictor in electric load forecasting
A model of extended paragraph vector for document categorization and trend analysis
The Design of MOS-NDR-Based Cellular Neural Network
A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset
A Survey of Deep Anomaly Detection for System Logs
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
A reputation-enhanced model for trust-based collaborative filtering recommender system
Input selection by multilayer feedforward trained networks
SUNet: A Semantic-Driven Framework for Universal Image Enhancement
Optimal path planning based on goal heuristics IQLA for mobile robots
Consolidated Adaptive T-soft Update for Deep Reinforcement Learning
Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis
Regularized artificial neural network based patent value interval prediction model
An analysis of data distribution methods in classifier combination systems
Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving
A classifier-based association test for imbalanced data derived from prediction theory
Bayesian Learning of Neural Networks by Means of Artificial Immune Systems
A spiking network for object and ego-motion detection in roving robots
Application of neural networks in the classification of incipient faults in power transformers: A study of case
Loss-based Active Learning for Named Entity Recognition
Enhanced Named Entity Recognition through Joint Dependency Parsing
Fault tolerant training algorithm for multi-layer neural networks focused on hidden unit activities
Virtual Organization for computational intelligence (VOCI): architecture and realization
A VLSI Hamming artificial neural network with k-winner-take-all and k-loser-take-all capability
Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration
Deep Discriminative Clustering Network
ReFuzzTiD: A Recurrent Neurofuzzy Model for Anomaly Detection in Time Series
A graphical model framework for stock portfolio construction with application to a Neural Network based trading strategy
Enhanced detection of movement onset in EEG through deep oversampling
Neuroscience-Informed Interpretability of Intermediate Layers in Artificial Neural Networks
Deeper Graph Contrastive Learning with Attention Mechanism for Recommendation
MCAF: Multi-Headed Causal Attention Fusion Approach for Multimodal Sentiment Analysis
A low-dimensional vector representation for words using an extreme learning machine
Symmetric Triangle Network for Object Detection Within X-ray Baggage Security Imagery
Knowledge based Cluster Ensemble
A consensus-based semi-supervised growing neural gas
Data augmentation process to improve deep learning-based NER task in the automotive industry field
Intelligent clinical decision supports for interferon treatment in chronic hepatitis C and B based on i-biopsy TM
Organization of hippocampal place cells by enthorinal cortex grid cells. A functional role for the phase precession mechanism
S 2 RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images
A weighted image reconstruction based on PCA for pedestrian detection
SS-Faster-RCNN: A Domain Adaptation-based Method to Detect Whether People Wear Masks Correctly
An approach to predicting non-deterministic neural network behavior
TSA-GAN: A Robust Generative Adversarial Networks for Time Series Augmentation
Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks
Query learning based on boundary search and gradient computation of trained multilayer perceptrons
Safe Screening Rules for Group OWL Models
Encoder-Decoder Interactive Image Segmentation with Inception-Atrous-Collation Blocks
Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data
A novel generalized flip-flop for memory association and maximization in artificial neural network
Comments on using MLP and FFT for fast object/face detection
Water Quality Prediction Based on Wavelet Neural Networks and Remote Sensing
ECViT: Efficient Convolutional Vision Transformer with Local-Attention and Multi-scale Stages
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction