yusuke1997/dblp-id-title huggingface dataset:
Modified Kernel-based Nonlinear Feature Extraction
Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control
CoReJava: Learning Functions Expressed as Object-Oriented Programs
The Fuzzy Logic Control of a Multilevel Converter in a Variable Speed Wind Turbine
Tropical Cyclone Intensity Forecasting Using Deep Learning
Does the Inclusion of Data Sampling Improve the Performance of Boosting Algorithms on Imbalanced Bioinformatics Data?
A Re-estimation Brain Storm Optimization to Train Hidden Markov Model for Transcription Factor Binding Site Analysis
Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease
Evaluating Impact of Wearing Masks in Face Recognition Using Deep Learning Algorithms
Multiagent Transfer Learning via Assignment-Based Decomposition
SECOE: Alleviating Sensors Failure in Machine Learning-Coupled IoT Systems
Machine Learning for Predicting the Impact Point of a Low Speed Vehicle Crash
Exploratory data analysis of the visitor's arrivals to Chichen-Itza's archaeological site, a case study
Fairness-Aware Model Selection Using Differential Item Functioning
Recurrence Plot Spacial Pyramid Pooling Network for Appliance Identification in Non-Intrusive Load Monitoring
Mining frequent closed itemsets for large data
Characterizing the Impact of Common Electro-Optical Sensor Anomalies on Maritime Image Classifiers
Dynamic Testing and Calibration of Gaussian Processes for Vehicle Attitude Estimation
Learning Robust Video Synchronization without Annotations
Federated Deep Learning for Heterogeneous Edge Computing
An Accurate, Fast Embedded Feature Selection for SVMs
Discovering Characterization Rules from Rankings
Federated Fine-Tuning Performance on Edge Devices
Request Type Prediction for Web Robot and Internet of Things Traffic
Widened Learning of Index Tracking Portfolios
Semi-supervised Graph Instance Transformer for Mental Health Inference
Developing an Autonomous Robotics System Utilizing Camera and IMU Fusion with PID-Based Path Correction
Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization
Pattern Identification Using Reconstructed Phase Space and Hidden Markov Model
Conversation Clustering Adaptation for Intent Recognition
Improving the Discovery and Characterization of Hidden Variables by Regularizing the LO-net
Evaluation of Local Binary Pattern Algorithm for User Authentication with Face Biometric
Benchmarking Machine Learning Solutions in Production
Predictive Subspace Clustering
SASBO: Self-Adapting Safe Bayesian Optimization
SetNet: Ensemble Method Techniques for Learning Regulatory Networks
A Directed Acyclic Graphical Approach and Ensemble Feature Selection for a Better Drug Development Strategy Using Partial Knowledge from KEGG Signalling Pathways
Water Fixture Identification in Smart Housing: A Domain Knowledge Based Case Study
Event Based Weight Update for Learning Infinite Spike Train
Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification
Cross-Document Knowledge Discovery Using Semantic Concept Topic Model
Rapid Class Augmentation For Continuous Deep Learning Applications
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks
Detecting Cyberbullying in Visual Content: A Large Vision-Language Model Approach
Predictive Analytics and Statistical Learning for Waterflooding Operations in Reservoir Simulations
Federated Learning of Neural Network Models with Heterogeneous Structures
Plant Species Classification Using a 3D LIDAR Sensor and Machine Learning
Life-long Learning through Task Rehersal and Selective Transfer
An EM Clustering Algorithm which Produces a Dual Representation
Intelligent control for drug delivery in management of renal anemia
Disentangling and Learning Robust Representations with Natural Clustering
Convolutional Neural Networks Applied to Human Face Classification
Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections
Brown Planthopper Damage Detection using Remote Sensing and Machine Learning
Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets
Learning with Unpaired Data
Using an Infinite Von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy
A Rule-Based Classifier with Accurate and Fast Rule Term Induction for Continuous Attributes
A Comparative Analysis of Cryptographic Algorithms and Transformation Functions for Biometric Data
A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning
DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection
Finding an Optimal Small Sample of Training Dataset for Computer Vision Deep-Learning Models
Exploiting Representational Diversity for Time Series Classification
DeepTrax: Embedding Graphs of Financial Transactions
What Factors Influence the Popularity of User-Generated Text in the Creative Domain? A Case Study of Book Reviews
A Comparative Evaluation of Machine Learning Methods for Robot Navigation Through Human Crowds
Discovering Gene-Disease Associations with Biomedical Word Embeddings
BuiltNet: Graph based Spatio-Temporal Indoor Thermal Variation Detection
Investigation of Factors Affecting Ownership the Household Informatics Equipment with CHAID Algorithm
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values
Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays
Many-to-One: Transformer-based unsupervised anomaly detection and localization on industrial images
Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder
A Multimodal Approach to Song-Level Style Identification in Pop/Rock Using Similarity Metrics
Machine Learning Methods for 1D Ultrasound Breast Cancer Screening
Incorporating Categorical Information for Enhanced Probabilistic Trajectory Prediction
Scalable Expert Selection When Learning from Noisy Labelers
A Noise Prediction and Time-Domain Subtraction Approach to Deep Neural Network Based Speech Enhancement
Neural Architecture Search for Automotive Grid Fusion Networks Under Embedded Hardware Constraints
Hawkes Process Multi-armed Bandits for Search and Rescue
Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk
Learning to Be a Good Tour-Guide Robot
Extraction of Meaningful Rules in a Medical Database
Using Randomised Vectors in Transcription Factor Binding Site Predictions
Reinforcement Learning as an Improvement Heuristic for Real-World Production Scheduling
A New Framework to Assess the Individual Fairness of Probabilistic Classifiers
Audio Signal Reconstruction Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)
Next Generation Application-Layer DDoS Defences: Applying the Concepts of Outlier Detection in Data Streams with Concept Drift
The application of machine learning techniques to the prediction of erectile dysfunction
From images in the wild to video-informed image classification
ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm
Medical Code Prediction from Discharge Summary: Document to Sequence BERT using Sequence Attention
Structured Multivariate Pattern Classification to Detect MRI Markers for an Early Diagnosis of Alzheimer's Disease
Approximate Orthogonal Spectral Autoencoders for Community Analysis in Social Networks
Conditional Prediction Intervals for Linear Regression
ARC-Net: Activity Recognition Through Capsules
How far is too far? Identifying suspicious travel patterns in healthcare claims using machine learning
Adversarial Attacks on Deep Temporal Point Process
Recognition of Dynamic Hand Gestures from 3D Motion Data Using LSTM and CNN Architectures
Neural Network Ensembling with Random Features
Classification of Occluded Objects Using Fast Recurrent Processing
Evaluation of a New Kernel-Based Classifier in Eye Pupil Detection
Discretization Techniques and Genetic Algorithm for Learning the Classification Method PROAFTN
End-to-End Reinforcement Learning for Multi-agent Continuous Control
Nested Multiple Instance Learning with Attention Mechanisms
Regularized Probabilistic Latent Semantic Analysis with Continuous Observations
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention
Effective Big Data Caching through Reinforcement Learning
Detection of Unnatural Movement Using Epitomic Analysis
A Multifaceted Approach to Bitcoin Fraud Detection: Global and Local Outliers
Label-Free Mammalian Cell Tracking Enhanced by Precomputed Velocity Fields
The Class-Imbalance Problem for High-Dimensional Class Prediction
Freight Vehicle Travel Time Prediction Using Gradient Boosting Regression Tree
Assessment of Different Image Clutter Metrics Using Multivariate Analyses and Neurofuzzy System
Recursive Feature Elimination by Sensitivity Testing
Shapelet-Preserving Bootstrapping For Time Series Data Augmentation
Validation of a Quantifier-Based Fuzzy Classification System for Breast Cancer Patients on External Independent Cohorts
Deep Reinforcement Learning for Fairness in Distributed Robotic Multi-type Resource Allocation
Estimating Plant Physiological State by Learning Methods Considering Imbalance and Time-series
Exploring Adversaries to Defend Audio CAPTCHA
Generalized Flexible Fuzzy Inference Systems
First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques
WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture
Incremental Nyström Low-Rank Decomposition for Dynamic Learning
A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain
Learn to Trace Odors: Autonomous Odor Source Localization via Deep Learning Methods
Dealing with Distribution Shift in Acoustic Mosquito Datasets
Forecasting Residential Energy Consumption: Single Household Perspective
Incremental and Decremental Multi-category Classification by Support Vector Machines
A Stochastic Variance Reduced Nesterov's Accelerated Quasi-Newton Method
Multitask Learning for Time Series Data with 2D Convolution
A New Machine Learning Technique Based on Straight Line Segments
Using Machine Learning to Detect Cyberbullying
Overwater Emitter Localization with a Single Receiver using Neural Network Modeling
Solving the Traveling Salesman Problem through Iterative Extended Changing Crossover Operators
Identifying Functional Binding Motifs of Tumor Protein p53 Using Support Vector Machines
Deep Learning Based Vehicle Detection From Aerial Images
Converting A Trained Neural Network To a Decision Tree DecText - Decision Tree Extractor
Requirement Engineering Techniques Selection and Modeling
Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders
Web-based parallel corpora for statistical machine translation
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI)
Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches
Parallel Projections for Manifold Learning
Towards Fake News Detection on Social Media
Learning Antecedent Structures for Event Coreference Resolution
A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation
An Incremental Model Selection Algorithm Based on Cross-Validation for Finding the Architecture of a Hidden Markov Model on Hand Gesture Data Sets
Robust Thresholding Strategies for Highly Imbalanced and Noisy Data
An Oblivious Routing-Based Power Flow Calculation Method for Loss Minimization of Smart Power Networks: A Theoretical Perspective
Document Retrieval for Biomedical Question Answering with Neural Sentence Matching
Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees
Classification of Critical Driving Events
Aggregating Multiple Biological Measurements Per Patient
Deep Semi-supervised Learning for Time Series Classification
Dynamically Adapting Floating-Point Precision to Accelerate Deep Neural Network Training
Constructive neural network ensemble for regression tasks in high dimensional spaces
Using a Bayesian Feature-selection Algorithm to Identify Dose-response Models Based on the Shape of the 3D Dose-distribution: An Example from a Head-and-neck Cancer Trial
Max-Coupled Learning: Application to Breast Cancer
Applied Machine Learning for Surrogate Modeling: A Spatio-Temporal Approach
The Prediction of Monthly Average Solar Radiation with TDNN and ARIMA
A Sequential Multi-task Learning Neural Network with Metric-Based Knowledge Transfer
Anytime Exploitation of Stragglers in Synchronous Stochastic Gradient Descent
Data mining application for predictive learning from visiting nurse association data
Autoencoder in Time-Series Analysis for Unsupervised Tissues Characterisation in a Large Unlabelled Medical Image Dataset
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals
Supervised Classification of EEG Signals with Score Threshold Regulation for Pseudo-Online Asynchronous Detection of Gait Intention
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects
Enabling Efficient Time Series Analysis for Wearable Activity Data
Mixed Spatio-Temporal Neural Networks on Real-time Prediction of Crimes
Semantic Indexing of Video Simulations for Enhancing Medical Care During Crises
Anyone here? Smart Embedded Low-Resolution Omnidirectional Video Sensor to Measure Room Occupancy
Robustness Evaluation of Deep Learning Models Based on Local Prediction Consistency
Hybrid Evolution of Convolutional Networks
Occupancy Detection based on WI-FI SysLog Data
Exploring Hessian Regularization in Mixup
Recent Trends in Neural Architecture Search Systems
Multiple Kernel Learning on Time Series Data and Social Networks for Stock Price Prediction
Unsupervised Anomaly Detection and Root Cause Analysis for an Industrial Press Machine based on Skip-Connected Autoencoder
Improving Chest X-Ray Classification by RNN-based Patient Monitoring
Feedback Learning for Improving the Robustness of Neural Networks
International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009
Predicting Churn of Expert Respondents in Social Networks Using Data Mining Techniques: A Case Study of Stack Overflow
Extreme Volume Detection for Managed Print Services
Benefits of Using Multiple Post-Hoc Explanations for Machine Learning
Virtual Battery Parameter Identification Using Transfer Learning Based Stacked Autoencoder
Mobile data mining for radio resource management in wireless mobile networks
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models
Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning
Posterior Collapse in Variational Gradient Origin Networks
Linear Representation Learning Using Sphere Factor Analysis
Assessment of Data Augmentation and Transfer Learning for Making PIG Cough Classifier Robust to Changing Farm Conditions
Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis
Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network
Similarity Learning in Nearest Neighbor and Relief Algorithm
Radar Gesture Recognition System in Presence of Interference using Self-Attention Neural Network
Simplicity of Kmeans Versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data
Reliable Classification using Compact Support Probabilistic PCA
Discretization Algorithms for Inductive Learning
Few-Shot Image Classification for Rare Ocular Disease with an Ensemble of Pretrained Feature Extractors and a Statistical Classifier
Toward Parametric Security Analysis of Machine Learning Based Cyber Forensic Biometric Systems
Bayesian Networks for Inverse Inference in Manufacturing Bayesian Networks
Using Short URLs in Tweets to Improve Twitter Opinion Mining
Latent Topic-Semantic Indexing Based Automatic Text Summarization
A Greedy Approach for Building Classification Cascades
Bidirectional Long Short-Term Memory Networks for Rapid Fault Detection in Marine Hydrokinetic Turbines
Pose Estimation for Future Prediction of Falling
Leveraging Multimodal Shapley Values to Address Multimodal Collapse and Improve Fine-Grained E-Commerce Product Classification
Mining Interesting Ratio Patterns over a Stream Sliding Window
Localized Recommendation in Assembly Modeling: Employing GNNs for Targeted Part Placement
Assessing Threat of Adversarial Examples on Deep Neural Networks
Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations
Convolutional Neural Support Vector Machines: Hybrid Visual Pattern Classifiers for Multi-robot Systems
Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models
Intrusion detection in wireless networks using clustering techniques with expert analysis
Prediction-Directed Compression of POMDPs
PcapGAN: Packet Capture File Generator by Style-Based Generative Adversarial Networks
A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction
CurL-AutoML: Curriculum Learning-based AutoML
An Itemset-Driven Cluster-Oriented Approach to Extract Compact and Meaningful Sets of Association Rules
A Survey of Intrusion Detection Techniques
AlloyGAN: Domain-Promptable Generative Adversarial Network for Generating Aluminum Alloy Microstructures
Enhancing Piano Transcription by Dilated Convolution
A Big Data Analytics Framework for Supporting Multidimensional Mining over Big Healthcare Data
Analysis of Memory Capacity for Deep Echo State Networks
Real-Time Facial Emotion Detection Through the Use of Machine Learning and On-Edge Computing
Machine Learning in Appearance-Based Robot Self-Localization
An optimization method for selecting parameters in support vector machines
A Power-aware Approach for Smart Health Monitoring and Decision Support
Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0
Neural Networks: Are Stochastic Global Optimization Methods Worth the Trouble?
From Causal Pairs to Causal Graphs
Relational Analysis for Consensus Clustering from Multiple Partitions
Incremental Learning By Decomposition
A New Algorithm for Adaptive Online Selection of Auxiliary Objectives
Fusing Visual and Textual Information to Determine Content Safety
Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k
Forward Looking Sonar Scene Matching Using Deep Learning
A Monte Carlo Tree Search Approach to Learning Decision Trees
Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics
An Interval-Radial Algorithm for Hierarchical Clustering Analysis
Medicare Fraud Detection Using Machine Learning Methods
Speeding Learning of Personalized Audio Equalization
Dynamic Binary Cross Entropy: An effective and quick method for model convergence
Contingency-constrained economic dispatch with safe reinforcement learning
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
Online Processing of Social Media Data for Emergency Management
Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural Networks
Domain Adaptation in Sentiment Classification
Universal Adversarial Attack on Deep Learning Based Prognostics
Deep Neuronal Based Classifiers for Wireless Multi-hop Network Mobility Models
Differentially Expressed Gene Identification Based on Separability Index
Dimension Estimation Using Autoencoders with Applications to Financial Market Analysis
k-Means Partition of Monthly Average Insolation Period Data for Turkey
Uncovering the Landscape of Fraud and Spam in the Telephony Channel
A Model of Joint Learning in Poverty: Coordination and Recommendation Systems in Low-Income Communities
Transfer Method for Reinforcement Learning in Same Transition Model - Quick Approach and Preferential Exploration
Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography
SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry
Data-Parallel Momentum Diagonal Empirical Fisher (DP-MDEF):Adaptive Gradient Method is Affected by Hessian Approximation and Multi-Class Data
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
Model Based Unsupervised Learning Guided by Abundant Background Samples
Boosting inductive transfer for text classification using wikipedia
GRaDL: A Framework for Animal Genome Sequence Classification with Graph Representations and Deep Learning
Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home Applications
Iteratively Learning a Liver Segmentation Using Probabilistic Atlases: Preliminary Results
Learning Characteristic Rules for Fuzzy Classes And Its Application to Analysis of Weather Impact on National Airspace System Performance
Enhancing Dialogue Analysis in Multiparty Meetings Through Argument and Relation Classification Models
Bank transactions embeddings help to uncover current macroeconomics
Sequential Data Clustering
Risk Estimation in Spatial Disease Clusters: An RBF Network Approach
Learning Multi-valued Biological Models with Delayed Influence from Time-Series Observations
Towards Multi-Class Open-Set Recognition by Use of Lower Dimensional Latent Space Embeddings
SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications
Kernel-based Approaches for Collaborative Filtering
Automated Microarray Classification Based on P-SVM Gene Selection
Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data
Regularized Sequential Latent Variable Models with Adversarial Neural Networks
Breaking the Limits of Scanning Tunneling Microscopy Using Image Super Resolution
Addressing Class Imbalance in Aeroengine Fault Detection
Collaborative Filtering Based on the Latent Class Model for Attributes
Continuous Human Activity Recognition using Radar Imagery and Dynamic Time Warping
An Approach for Data Augmentation in HAR with Wearable Sensors Using TIMEGAN
Prediction of Users' Response Time in Q&A Communities
Neural Networks for Analysing Rehabilitation of Hearing Impairments in Children via Voice Descriptors
On a Distributed Approach for Density-Based Clustering
Using Domain Knowledge Features for Wind Turbine Diagnostics
Hidden Markov Support Vector Machines for Self-Paced Brain Computer Interfaces
An Unsupervised Framework for Anomaly Detection in a Water Treatment System
A Survey of Machine Learning Applications for Energy-Efficient Resource Management in Cloud Computing Environments
Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources
Multi-Context Dual Hyper-Prior Neural Image Compression
A Heuristic Algorithm for Finding the Longest Pathways in a Biochemical Network
Predicting Music Popularity Using Music Charts
Enhancing High-Frequency Trading with Deep Reinforcement Learning Using Advanced Positional Awareness Under a Directional Changes Paradigm
Nonlinear RANSAC Optimization for Parameter Estimation with Applications to Phagocyte Transmigration
Denoising Internet Delay Measurements using Weak Supervision
Predicting Remaining Useful Life Based on the Failure Time Data with Heavy-Tailed Behavior and User Usage Patterns Using Proportional Hazards Model