yusuke1997/dblp-id-title huggingface dataset:
A Novel Anchor-Based Supervised Learning Framework for Solving Traveling Salesman Problem
3D-DPANet: A Novel Direction-Perception Attention Network Integrating Tumor Microenvironment and Shape Features for 1p/19q Co-Deletion Prediction in Brain Gliomas
Noise benefits in spiking retinal and sensory neuron models
Analogue Circuits of a Learning Spiking Neuron Model
Modeling Social Opinion Evolution with LLM Agents: Integrating Personality Traits with Embedded Opinion Dynamics
TT2INet: Text to Photo-realistic Image Synthesis with Transformer as Text Encoder
Multimodal Data Enhanced Representation Learning for Knowledge Graphs
Visual Intelligence for Driving Assistance on Multi-Hardware Platforms via Architecture Search
A Lightweight Neural-Net with Assistive Mobile Robot for Human Fall Detection System
MATLAB Simulink modeling and simulation of Zhang neural networks for online time-varying sylvester equation solving
Forecasting of the Chaos by Iterations Including Multi-Layer Neural-Network
EEG Model Compression by Network Pruning for Emotion Recognition
Meta-free few-shot learning via representation learning with weight averaging
Scalable real-time parking lot classification: An evaluation of image features and supervised learning algorithms
Improving Person Re-identification with Semantically Aligned Appearance Transformer
Differentially Private Diffusion Model for Graph Generation
Quantum Artificial Intelligence for Critical Infrastructure: A Survey and Vision
An integrated shape and intensity coding scheme for face recognition
Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning
A Novel Group-Aware Pruning Method for Few-shot Learning
Non-negative pyramidal neural network for parts-based learning
Graph Convolutional Networks for Target-oriented Opinion Words Extraction with Adversarial Training
A comparison of dual heuristic programming (DHP) and neural network based stochastic optimization approach on collective robotic search problem
Road Detection via Deep Residual Dense U-Net
Knowledge Graph-based Conversational Recommender System in Travel
Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms
Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech
Automatic classification of drum sounds with indefinite pitch
DABART: Dynamic Semantic Optimization Framework for Dialogue Summarization via Adaptive Topic Analysis and Semantic Bridging
CSD3D: Cross-Scale Distillation via Dual-Consistency Learning for Semi-Supervised 3D Object Detection
A Spiking-based mechanism for self-organizing RBF neural networks
Robust kernel PCA using fuzzy membership
Hybrid HMM-NN Architectures for Connected Digit Recognition
Efficient and Robust Convolutional Neural Networks via Channel Prioritization and Path Ensemble
A spiking neural network for tactile form based object recognition
A metagenomic hybrid classifier for paediatric inflammatory bowel disease
Accelerating Local Convergence of the Information Theory-Based Algorithm for Principal Component Analysis
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning
Networked control of unmanned vehicle using wavelet-based generalized predictive controller
Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing
A comparative study of urban traffic signal control with reinforcement learning and Adaptive Dynamic Programming
TA-BLSTM: Tag Attention-based Bidirectional Long Short-Term Memory for Service Recommendation in Mashup Creation
Finding, and Countering, Future Resistance using Bacterial Antibiotic Adversarial Genetic Algorithm (BAAGA)
Identifying knowledge domain and incremental new class learning in SVM
Gaussian process for long-term time-series forecasting
Tools and techniques for evaluating reliability of defect-tolerant nano architectures
LS-SVM based neural controller as optimized by particle swarm algorithm using dual heuristic dynamic programming
An algorithm for automated segmentation for bleeding detection in endoscopic images
From Pixels to Waveforms: Evaluating Pre-trained Image Models for Few-Shot Audio Classification
Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion Detection
Edge Guided Learning for Image Super-resolution with Realistic Textures
A principal curve-based method for data clustering
Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders
On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution
A statistical parametric method for the extraction of stimulus dependent activity from intrinsic optical signals
MEGA: Explaining Graph Neural Networks with Network Motifs
isAnon: Flow-Based Anonymity Network Traffic Identification Using Extreme Gradient Boosting
Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting
Improving Disturbance Classification by Combining Multiple Artificial Neural Networks
System identification using FRA and a modified MLMVN with arbitrary complex-valued inputs
Clustering the self-organizing map through the identification of core neuron regions
Perceiving Abstract Concepts Via Evolving Computational Cognitive Modeling
Backdoor Defense via Malicious Knowledge Capturing and Machine Unlearning with Out-of-Distribution Data
Multi-valued neuron with new learning schemes
Uncertainty-aware Dynamic Re-weighting Robust Classification
Response to external input of chaotic neural networks based on Newman-Watts model
An efficient image to column algorithm for convolutional neural networks
Perceptrons revisited: the addition of a non-monotone recursion greatly enhances their representation and classification properties
Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases
An efficient hybrid algorithm for fire flame detection
Option-Differentiated Clue Augmentation for Commonsense Question Answering
An Object Detection by using Adaptive Structural Learning of Deep Belief Network
Restricted exhaustive search for frequency band selection in motor imagery classification
Optimizing configuration of neural ensemble network for breast cancer diagnosis
Prediction interval-based ANFIS controller for nonlinear processes
A dynamical model for multi-scale pixel clustering
Face recognition using locality sparsity preserving projections
Multi-Range Gated Graph Neural Network for Telecommunication Fraud Detection
An adaptive ground penetrating radar imaging system based on complex-valued self-organizing map - recent progress and experiments in Cambodia -
Catastrophic forgetting and mode collapse in GANs
Gatekeeper: A deep reinforcement learning-cum-heuristic based algorithm for scheduling and routing trains in complex environments
Can consciousness ever be modelled?
Semi-supervised learning in initially labeled non-stationary environments with gradual drift
A boundary-pair representation for perception modeling
A new semantic attribute deep learning with a linguistic attribute hierarchy for spam detection
Robust continuous learning in a WTA neural network for clustering symbol strings
MLP networks for classification and prediction with rule extraction mechanism
Iterative temporal learning and prediction with the sparse online echo state gaussian process
Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning
System Identification using the Neural-Extended Kalman Filter for Control Modification
Individual distinguishing pheromone in a multi-robot system for a Balanced Partitioned Surveillance task
RCS: An Attributed Community Search Approach Based on Representation Learning
Dropout Probability Estimation in Convolutional Neural Networks by the Enhanced Bat Algorithm
Position Paper: Collectionless Artificial Intelligence
Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners
Regularized robust fuzzy least squares twin support vector machine for class imbalance learning
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection
Adaptive Dynamic Programming algorithm for finding online the equilibrium solution of the two-player zero-sum differential game
Extricating from GroundTruth: An Unpaired Learning Based Evaluation Metric for Image Captioning
Encoding Involutory Invariances in Neural Networks
Attentional Opponent Modelling for Multi-agent Cooperation
Automatic Category Generation for Text Documents by Self-Organizing Maps
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning
Exploring the structure of BERT through Kernel Learning
A generalized feedforward neural network classifier
A Lyapunov based switching control to track maximum power point of WECS
Feature selection using ROC curves on classification problems
Design interpretable neural network trees through self-organized learning of features
Intrinsic dimension of a dataset: what properties does one expect?
A Debiased Domain Adaptation Framework with Minimum Class Confusion for Motor Imagery Decoding
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings
Adaptive input field neural network-that can recognize rotated and/or shifted character
FLIP: Adaptive Comparison Method Selection for Efficient Preference-Based Reinforcement Learning
Drug Repurposing Opportunities in Shapley Space
Neuromorphic motivated systems
Efficient Uncertainty Quantification for Multilabel Text Classification
Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning
ICA and a gauge of filter for the automatic filtering of an EEG signal
Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments
An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction
Semi-supervised learning in nonstationary environments
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning
Comparing the Use of Sum and Difference Histograms and Gray Levels Occurrence Matrix for Texture Descriptors
SEEN: Few-Shot Classification with SElf-ENsemble
Synaptic efficacy mosaics and the impact of morphology
Policy iteration for optimal switching with continuous-time dynamics
Parallel, self organizing, consensus neural networks
Replay, Working Memory and Action Selection in Temporal Credit Assignment - a Simple Neural Network Model
Nonmodular Architectures of Cognitive Systems based on Active Inference
Assessment of benefit vs. risk of drug therapy: The potential for outcome analysis with flexible models
Robot coverage control by evolved neuromodulation
Implantable biomimetic electronics as neural prostheses for lost cognitive function
LaneGS:Novel View Synthesis for Lane Change Scenarios in Autonomous Driving
Leveraging Interaction Uncertainty for Enhanced Navigation Performance in Dynamic Crowds
Pulse stream neural networks and reinforcement learning
Tag2Graph: A Multi-Agent Framework for Mining Knowledge Graphs from Industrial Time Series Data
Multi-scale local shape analysis and feature selection in machine learning applications
Partially observed values
Blotch removal in degraded digital video using independent component analysis
New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns
A Fuzzy ARTMAP Framework for Predicting Student Dropout in Higher Education
Neural nets and star/galaxy separation in wide field astronomical images
Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation
Deep Recurrent Neural Networks with Attention Mechanisms for Respiratory Anomaly Classification
Simultaneous Perturbation Particle Swarm Optimization Using FPGA
Intelligent tasks scheduler
Two-stage Strategy for Small-footprint Wake-up-word Speech Recognition System
PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart
Large-Scale Spectral Analysis for Element Quantification using Deep Neural Networks
Deep Quaternion Networks
Multi-Grounding Navigator for Self-Supervised Vision-and-Language Navigation
Imputation of Partially Observed Water Quality Data Using Self-Attention LSTM
Particle Swarm Optimization based Defensive Islanding of Large Scale Power System
Regularizing Pattern Recognition with Conditional Probability Estimates
Learning to Stabilize Extreme Neural Machines with Metaplasticity
Neural Modeling Fields for Natural Language
Rapid Earthquake Magnitude Estimation Using Deep Learning
An improved neurocomputation scheme for minimum infinity-norm kinematic control of redundant manipulators
Discrete-time neural block control for a doubly fed induction generator
Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey
Feature selection and fast training of subspace based support vector machines
Discriminative Feature Pyramid Network For Object Detection In Remote Sensing Images
Risk-averse trees for learning from logged bandit feedback
A biologically inspired onset and offset speech segmentation approach
A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots
Potential support vector machines and Self-Organizing Maps for phytoplankton discrimination
Recurrent artificial neural networks for forecasting of forward interest rates
A comparative study of machine learning techniques in blog comments spam filtering
Robust Few-Shot Semantic Segmentation for Blurred and Occluded Objects in Construction Environments
Generalized Label Propagation
Human action recognition based on discriminative supervoxels
SSA: A More Humanized Automatic Evaluation Method for Open Dialogue Generation
HACL: A Hybrid Adaptive Curriculum Learning Framework for Multi-modal Sarcasm Detection
Lotto-type competitive learning and its stability
Modularity analysis of brain network under real-time working memory feedback training
Semantically Constrained Document-Level Chinese-Mongolian Neural Machine Translation
Linear discriminant analysis with an information divergence criterion
Boosting Emotion Recognition in Context using Non-target Subject Information
Online news topic detection and tracking via localized feature selection
HDF: Hybrid Deep Features for Scene Image Representation
TFAD: An Image Multi-Label Recognition Method with Image-Text Powered Attention
Position Paper: The Environmental Cost of Deep Learning: A Call for Sustainable AI Practices
Temporal competitive learning induced in neural networks by spike timing-dependent plasticity
Quadrant-distance graphs: a method for visualizing neural network weight spaces
On a generalization complexity measure for Boolean functions
Heartbeat Detection Based on Pulse Neuron Model for Heart Rate Variability Analysis
HEDEL: Homomorphically Encrypted Distributed Ensemble Learning
Testing the Robustness of Manifold Learning on Examples of Thinned-Out Data
Adaptive Inner-reward Shaping in Sparse Reward Games
A study of brain structure evolution in simple embodied neural agents using genetic algorithms and category theory
SymCL: Riemannian Contrastive Learning on the Symmetric Positive Definite Manifold for Visual Classification
Range Data Approximation for Mobile Robot by Using CAN2
Multilayer perceptron learning with particle swarm optimization for well log data inversion
Phase offset between slow oscillatory cortical inputs influences competition in a model of the basal ganglia
Architecture research and hardware implementation on simplified neural computing system for face identification
A Hybrid Intelligent System for Short and Mid-term Forecasting for the CELPE Distribution Utility
EDNet: A Mesoscale Eddy Detection Network with Multi-Modal Data
Anticipating contingengies in power grids using fast neural net screening
A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting
Fast trajectory clustering using Hashing methods
Improving the Factuality of Abstractive Text Summarization with Syntactic Structure-Aware Latent Semantic Space
Leveraging Causal Inference for Explainable Automatic Program Repair
Prediction of a patient's response to a specific drug treatment using artificial neural networks
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning
TextGCL: Graph Contrastive Learning for Transductive Text Classification
Distributed Neural Networks for Missing Big Data Imputation
A novel hardware-efficient cochlea model based on asynchronous cellular automaton
Induction motor torque control via discrete-time neural sliding mode
A shunting inhibitory motion detector that can account for the functional characteristics of fly motion-sensitive interneurons
Balancing indoor thermal comfort and energy consumption of air-conditioning and mechanical ventilation systems via sparse Firefly algorithm optimization
End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction
Improvement of learning for CNN with ReLU activation by sparse regularization
Shedding weights: More with less
Neural Network based Decentralized Excitation Control of Large Scale Power Systems
Common and Unique Features Learning in Multi-view Network Embedding
Multi-Stream Collective Deliberation Network for Open-Set Fine-Grained Visual Classification
Strong attractors of Hopfield neural networks to model attachment types and behavioural patterns
A novel radial basis function network classifier with centers set by hierarchical clustering
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models
Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers
Fusion of Feature Selection Methods for Improving Model Accuracy in the Milling Process Data Classification Problem
Partially affine invariant training using dense transform matrices
System identification with partial-state measurement via dynamic multilayer neural networks
Masked Dual Graph Autoencoder for Attributed Graph Community Detection
CIlib: A collaborative framework for Computational Intelligence algorithms - Part I
FPCAS: In-Memory Floating Point Computations for Autonomous Systems
Image clustering with spiking neuron network
Extracting Interpretable Decision Tree Ensemble from Random Forest
Vocoder-free End-to-End Voice Conversion with Transformer Network
Simulated control of a tracking mobile robot by four aVLSI integrate-and-fire neurons paired into maps
Advanced audio spatializer combined with a multipoint equalization system
Two-Microphone End-to-End Speaker Joint Identification and Localization Via Convolutional Neural Networks
Using dynamic synapse based neural networks with wavelet preprocessing for speech applications
Memristor-based synapse design and training scheme for neuromorphic computing architecture
Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
Explainable Predictions of Renal Cell Carcinoma with Interpretable Tree Ensembles from Contrast-enhanced CT Images
Electricity load forecasting based on autocorrelation analysis
Improving Zero-Shot Coordination with Diversely Rewarded Partner Agents
Improving rule extraction from neural networks by modifying hidden layer representations
Emotions of cognitive dissonance
Non-iterative learning for neural networks
Neural Network Realization of Support Vector Methods for Pattern Classification
A model of motor timing volatility and its effect on force variability
Personalized Federated Learning Based on Feature Filtering
A fast SVM training method for very large datasets
Exploration Driven by an Optimistic Bellman Equation
Fingerprint processing using back propagation neural networks
Modular Neural Networks for Reinforcement Learning with Temporal Intrinsic Rewards
FedHG: Generator-Driven Head Adaptive Aggregation for Personalized Federated Learning
A Lightweight Vision-Based Deep Learning Model for Fall Detection
ASDM-a novel neural network model based on sparse distributed memory
Multi-task Optimization Based Co-training for Electricity Consumption Prediction
Approximate model-assisted Neural Fitted Q-Iteration
Adaptive Learning Rate for Unsupervised Learning of Deep Neural Networks
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models
Attention as sigma-pi controlled ACh-based feedback
Artificial Ventilation Modeling using Neuro-Fuzzy Hybrid System
TinyHAR-NAS: Tuning Lightweight Attention Networks for Human Activity Recognition on the Edge
WIPs real-time control using RIBTC
Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation
A modular architecture for efficient learning
Enhancing Fake News Detection by Incorporating Evidence Credibility
Data mapping by Restricted Boltzmann Machines for social circles detection
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network
CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation
Bounding Generalization Error Through Bias and Capacity
Anomalous Activity Detection from Ego View Camera of Surveillance Robots
An MLP-based face authentication technique robust to orientation
Interacting multiple model tracking using a neural extended Kalman filter
Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates
Data Fusion Modeling of Lumber Moisture Content Sensors Using Chebyshev Functional Link Networks
A self-organizing controller for dynamic processes using neural networks
Matrix Shuffle- Exchange Networks for Hard 2D Tasks
Bayesian neural networks with correlating residuals
Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design
Dynamic Link Prediction for New Nodes in Temporal Graph Networks
Detection of epileptiform activity in unresponsive patients using ANN
Q value-based Dynamic Programming with SARSA Learning for real time route guidance in large scale road networks
Improving Related Work Generation through Knowledge Aggregation from Citation Networks
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing
Vision Graph Convolutional Network for Writer-Independent Offline Signature Verification
Automatic CNN Compression Based on Hyper-parameter Learning
Graph-enhanced Knowledge Transfer Learning for Fashion Sequential Recommendation
Biologically Informed procedure for Feature Summarization in Spatial Transcriptomics
Online efficient learning with quantized KLMS and L1 regularization
Modeling oxytocin induced neurorobotic trust and intent recognition in human-robot interaction
A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors information
Unfaithful Population Decoding
A neurodynamical model of context-dependent category learning
A collaborative filtering framework based on local and global similarities with similarity tie-breaking criteria
Relational Fisher Analysis: A general framework for dimensionality reduction
Continuous Phoneme Recognition based on Audio-Visual Modality Fusion
Multi-map self-organization for sensorimotor learning: a cortical approach
Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks
Augmented Reality for Remote Laboratory Improving Educational Learning: Using Elevated Particle Swarm Optimization in Object Tracking Scheme
Artefact Detection in Chronically Recorded Local Field Potentials: An Explainable Machine Learning-based Approach
MPCGNet: A Multiscale Feature Extraction and Progressive Feature Aggregation Network Using Coupling Gates for Polyp Segmentation
Statistical learning for detecting protein-DNA-binding sites
An efficient ICA approach based on neural network framework for biomedical applications