yusuke1997/dblp-id-title huggingface dataset:
Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting
The impact of low-cost molecular geometry optimization in property prediction via graph neural network
Efficient Evolutionary Architecture Search for CNN Optimization on GTSRB
Terrain Mapping and Obstacle Detection Using Gaussian Processes
Interval-Valued Centroids in K-Means Algorithms
Position Specific Scoring Matrix and Synergistic Multiclass SVM for Identification of Genes
Cognitive Secure Shield - A Machine Learning Enabled Threat Shield for Resource Constrained IoT Devices
On the Robustness of Deep Learning-Based Speech Enhancement
Wind Speed Forecasting Based on Second Order Blind Identification and Autoregressive Model
Polynomial Correlation Filters for Human Face Recognition
Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection
Learning Gene Regulatory Networks with Predefined Attractors for Sequential Updating Schemes Using Simulated Annealing
Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems
Step Detection using SVM on NURVV Trackers
Multi-scale Loss based Electron Microscopic Image Pair Matching Method
Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection
iCASSTLE : Imbalanced Classification Algorithm for Semi Supervised Text Learning
Event Causality Identification Using Conditional Random Field in Geriatric Care Domain
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification
Improved Attribute Manipulation in the Latent Space of StyleGAN for Semantic Face Editing
Higher-Order Regularized Kernel CCA
Discriminating transmembrane proteins from signal peptides using SVM-Fisher approach
A comparison of dimensionality reduction techniques for text retrieval
Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task
A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems
Improving Named Entity Recognition for Morphologically Rich Languages Using Word Embeddings
Enhancing Deep Neural Network Classification Performance Through Novel Weight Initialization: t-SNE Supported Walsh Matrix Approach
Predicting Hotel Bookings Cancellation with a Machine Learning Classification Model
A Dissimilarity-Based Countermeasure for Detecting Replay Attacks in Speaker Verification
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing
Hindi Language Graphical User Interface to Database Management System
Deep Learning of Cell Classification Using Microscope Images of Intracellular Microtubule Networks
Comparisons of Machine Learning Algorithms for Application Identification of Encrypted Traffic
An Effective and Efficient Similarity-Matrix-Based Algorithm for Clustering Big Mobile Social Data
Improve Learner-based Recommender System with Learner's Mood in Online Learning Platform
Nonlinear Transformations of Marginalisation Mappings for Kernels on Hidden Markov Models
Mining interesting contrast rules for a web-based educational system
Learning with limited minority class data
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks
On the Performance of Extended Real-Time Object Detection and Attribute Estimation within Urban Scene Understanding
The ROC-Boost Design Algorithm for Asymmetric Classification
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Direct calculation of predictions for K29/K29
Variational Encoder Based Synthetic Alzheimer's Data Generation for Deep Learning, XGBoost and Statistical Survival Analysis
Detecting Information Theft Attacks in the Bot-IoT Dataset
Self-Supervised Transformer Networks for Error Classification of Tightening Traces
Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet
Using Bayesian Logistic Regression with High-Order Interactions to Model Radiation-Induced Toxicities Following Radiotherapy
Detecting Different Types of Concept Drifts with Ensemble Framework
Classification of Functional Data: A Comparative Study
Spatial Dependency and Hedonic Housing Regression Model
Inducing Embeddings for Rare Words through Morphological Decomposition, Stemming and Bidirectional Translation
EVDD - A Novel Dataset For Embedded System Vulnerability Detection Mechanism
Routine Human-Competitive Machine Intelligence by means of Genetic Programming
Architecture for accurate polyp segmentation in motion-blurred colonoscopy images
Aircraft Engine Remaining Useful Life (RUL) Prediction Using Machine Learning
Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data
Efficient Retraining for Continuous Operability Through Strategic Directives
Detecting Quasars in Large-Scale Astronomical Surveys
Contrastive Learning with Auxiliary User Detection for Identifying Activities
Adaptive Thresholding and Reweighting to Improve Domain Transfer Learning for Unbalanced Data with Applications to EEG Imbalance
Unsupervised Anomaly Detection for Digital Radio Frequency Transmissions
Mask R-CNN End-to-End Text Detection and Recognition
Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction
How Dependencies Affect the Capability of Several Feature Selection Approaches to Extract the Key Features
Identifying Hierarchical Community Structures in Content-Based Scholarly Social Networks
A Framework towards the Unification of Ensemble Classification Methods
Using Vector Quantization of Hough Transform for Circle Detection
Design of River Water Quality Assessment and Prediction Algorithm
Flexible Selecting of Style to Content Ratio in Neural Style Transfer
A Statistical Algorithm to Discover Knowledge in Medical Data Sources
Automatic Text Classification of ICD-10 Related CoD from Complex and Free Text Forensic Autopsy Reports
Approximate l-Fold Cross-Validation with Least Squares SVM and Kernel Ridge Regression
Web Robot Learning Powered by Bluetooth Communication System
Towards Augmentation Based Defense Strategies Against Adversarial Attacks
Alpha Model Domination in Multiple Choice Learning
Machine Learning for Modeling Dose-Related Organ-at-Risk Complications after Radiation Therapy
Centroid-based Classification Enhanced with Wikipedia
Cognitive-Assisted Interactive Labeling of Skin Lesions and Blood Cells
Generation of Tests for Programming Challenge Tasks on Graph Theory Using Evolution Strategy
Detection of Abnormal Human Behavior Using a Matrix Approximation-Based Approach
Class Decomposition Using K-Means and Hierarchical Clustering
A New Approach to Detecting Content Anomalies in Wikipedia
Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning
Recommendation Tool for Alleviating Depression and Suicidal Tendencies Through Healthier Social Media Use
A New Video Steganography Algorithm Based on the Multiple Object Tracking and Hamming Codes
Point Cloud-based Variational Autoencoder Inverse Mappers (PC-VAIM) - An Application on Quantum Chromodynamics Global Analysis
Probabilistic Mixed Topological Map for Categorical and Continuous Data
An Expert System to Estimate the Capacity of Harvesting Energy from Biogas and its Capacity in TRNC
Uncertainty optimization for robust dynamic optical flow estimation
Investigating New Bootstrapping Approaches of Bagging Classifiers to Account for Class Imbalance in Bioinformatics Datasets
Network-Based Filtering of Unreliable Markers in Genome Mapping
Semi-supervised Data Organization for Interactive Anomaly Analysis
Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS)
A Treeboost Model for Software Effort Estimation Based on Use Case Points
Cross-Cultural Music Emotion Recognition by Adversarial Discriminative Domain Adaptation
Machine Learning-based California Wildfire Risk Prediction and Visualization
Infrared and Visible Image Fusion via Multi-discriminators Wasserstein Generative Adversarial Network
Cancer Profiles by Affinity Propagation
Boolean Factor Analysis for Data Preprocessing in Machine Learning
Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework
Tiny Generative Image Compression for Bandwidth-Constrained Sensor Applications
Hierarchical Supervised Monte Carlo Ensemble Learning
A Mask-Based Post Processing Approach for Improving the Quality and Intelligibility of Deep Neural Network Enhanced Speech
Ankle Rehabilitation System with Feedback from a Smartphone Wireless Gyroscope Platform and Machine Learning Classification
Research on Data Mining Algorithms for Automotive Customers' Behavior Prediction Problem
Training Data Subdivision and Periodical Rotation in Hybrid Fuzzy Genetics-Based Machine Learning
Facial Expression Recognition using Convolutional Neural Network through Region-based Patch Generation: Harnessing Subtle Facial Cues
Vibration Learning and Control towards Vibration Actuated Robotic Systems
Similarity Estimation for Classical Indian Music
Unsupervised and Online Update of Boosted Temporal Models: The UAL2Boost
Eigenfaces for Face Detection: A Novel Study
Generation & Evaluation of Adversarial Examples for Malware Obfuscation
Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering
Network-Constrained Support Vector Machine for Classification
Parallelization of Minimum Probability Flow on Binary Markov Random Fields
Car Following Markov Regime Classification and Calibration
User Movement Prediction: The Contribution of Machine Learning Techniques
HCT: Hybrid Convnet-Transformer for Parkinson's Disease Detection and Severity Prediction from Gait
Quantum Machine Learning for Computer Vision: A Survey
MLCHECK- Property-Driven Testing of Machine Learning Classifiers
Frequent Set Mining for Streaming Mixed and Large Data
Classification Models with Global Constraints for Ordinal Data
TSD: Detecting Sybil Accounts in Twitter
DADO - Low-Cost Query Strategies for Deep Active Design Optimization
Multiple Imputation of Missing Residuals for Fault Classification: A Wind Turbine Application
Feature Clustering Towards Gene Selection
Identification of Transcriptional Regulatory Networks by Learning the Marginal Function of Outlier Sum Statistic
Future Trajectory Prediction via RNN and Maximum Margin Inverse Reinforcement Learning
Depression Detection Using Feature Extraction and Deep Learning from sMRI Images
TrADe Re-ID - Live Person Re-Identification using Tracking and Anomaly Detection
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Multi Agent Holonic Based Architecture for Communication and Learning about Power Demand in Residential Areas
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?
AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial Learning
Semi-Supervised Learning Based Femur Segmentation from QCT Images
Matching an opponent's performance in a real-time, dynamic environment
Minimal Norm Support Vector Machines for Large Classification Tasks
Extraction of Basic Patterns of Household Energy Consumption
Homogeneous Transfer Active Learning for Time Series Classification
Using Transparent Neural Networks and Wearable Inertial Sensors to Generate Physiologically-Relevant Insights for Gait
UNF-IDT: Automated Irony Detection in English Tweets
Discovering Rules from Disk Events for Predicting Hard Drive Failures
The Influence of Sample Reconstruction on Stock Trend Prediction via NARX Neural Network
An Unsupervised Learning Methodology for Increasing Human Productivity via VR Training
A New Strategy for Rotating Machinery Fault Diagnosis Under Varying Speed Conditions Based on Deep Neural Networks and Order Tracking
Style-Aware Neural Model with Application in Authorship Attribution
Recognition of Human Activities Using Fast and Adaptive Sparse Representation Based on Wearable Sensors
Privacy Preserving Record Linkage Using MetaSoundex Algorithm
Mobile Robot Self-Localization Based on Omnidirectional Vision and Gaussian Models
Adapting Standard External Clustering Metrics for Repetitive, Noisy Observations
Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTM
Towards adversarial robustness with 01 loss neural networks
Robust and Transferable Graph Neural Networks for Medical Images
Fourth International Conference on Machine Learning and Applications, ICMLA 2005, Los Angeles, California, USA, 15-17 December 2005
Forecasting of Low Visibility Using Weather and Air Quality Data for Safe and Smooth Transportation Operation
Machine Learning Techniques for LV Wall Motion Classification Based on Spatio-temporal Profiles from Cardiac Cine MRI
Complete Rare Event Specification using Stochastic Treatment: CRESST
Q-Learning: From Computer Network Security to Software Security
Is Your Time Well Spent Online?: Focusing on Quality Experiences Through a User-Centered Recommendation Algorithm and Simulation Model
Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks
Detection of Sequential Outliers Using a Variable Length Markov Model
Adaptive Fuzzy Prediction for Automotive Applications Usage
Scalable optimal linear representation for face and object recognition
Topological Indoor Localization & Navigation for Autonomous Industrial Mobile Manipulator
Symbolic Semantic Memory in Transformer Language Models
NSP: A Neuro-Symbolic Natural Language Navigational Planner
Backtracking for More Efficient Large Scale Dynamic Programming
Performance Benchmark of Machine Learning-Based Methodology for Swahili News Article Categorization
Predicting Next Location of Twitter Users for Surveillance
Improved Deep Representation Learning for Human Activity Recognition using IMU Sensors
Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing
Hierarchical Stability-Based Model Selection for Clustering Algorithms
Hedonic Housing Theory - A Machine Learning Investigation
Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers
On the computational complexity of two frequent set generation algorithms
An Edge-Less Approach to Horizon Line Detection
Forcing Interpretability for Deep Neural Networks through Rule-Based Regularization
Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion
Applications of Class-Conditional Conformal Predictor in Multi-class Classification
Brace Treatment Monitoring Solution for Idiopathic Scoliosis Patients
A Graph-Based Spatial Cross-Validation Approach for Assessing Models Learned with Selected Features to Understand Election Results
Agnostic learning of general geometric patterns and multi-instance learning in R d
Comparative Evaluation of Top-N Recommenders in e-Commerce: An Industrial Perspective
Predicting anxiety treatment outcomes with machine learning
Fast Insight into High-Dimensional Parametrized Simulation Data
State Aggregation by Growing Neural Gas for Reinforcement Learning in Continuous State Spaces
EPG Content Recommendation in Large Scale: A Case Study on Interactive TV Platform
Large Margin Classifier Based on Hyperdisks
On the Impacts of Noise from Group-Based Label Collection for Visual Classification
Neuropathic Pain Scale Based Clustering for Subgroup Analysis in Pain Medicine
A Distributed Sensing Approach for Single Platform Image-Based Localization
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference
Augmenting Interactive Evolution with Multi-objective Optimization
Adaptive Partitioning for Template Functions on Persistence Diagrams
Adaptive Neuro Fuzzy Inference System, Neural Network and Support Vector Machine for Caller Behavior Classification
When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach
Attention on Classification for Fire Segmentation
Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias
A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures
Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms
Deep Fake Video Classification with Sequential Input Frames Using Hybrid Deep Learning Model and Bayesian Optimization
Anomaly Detection using Supervised Learning and Multiple Statistical Methods
COVID-CBR: A Deep Learning Architecture Featuring Case-Based Reasoning for Classification of COVID-19 from Chest X-Ray Images
AI-based prediction for early detection of Tuberculosis in India based on environmental factors
Interpretable Reinforcement Learning with Multilevel Subgoal Discovery
Pattern-RL: Multi-robot Cooperative Pattern Formation via Deep Reinforcement Learning
On the Generalizability of ECG-based Stress Detection Models
Image to Multilingual Text Conversion for Literacy Education
Text, Image and Vector Graphics Based Appraisal of Contemporary Documents
Improving Premise Structure in Evolving Takagi-Sugeno Neuro-Fuzzy Classifiers
A Comparative Analysis of Unsupervised Learning Techniques for Anomaly Detection in Railway Systems
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
Dimensionality Reduction in Statistical Learning
Automated Storage Tiering Using Markov Chain Correlation Based Clustering
Active Learning to Support In-situ Process Monitoring in Additive Manufacturing
Is GPT Powerful Enough to Analyze the Emotions of Memes?
Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences
Automated Patent Classification Using Word Embedding
Variable resolution discretization in the joint space
Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification
Real-Time Human Activity Classification Using Gait Cycle Averaging and Biometric Heuristics
Decaying Potential Fields Neural Network: An Approach for Parallelizing Topologically Indicative Mapping Exemplars
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents
Text Classification Methodologies Applied to Micro-Text in Military Chat
LOCO: Logistics Objects in Context
Learning Free-Surface Flow with Physics-Informed Neural Networks
Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments
Robust Kernel Embedding of Conditional and Posterior Distributions with Applications
Sparse Kernel PCA for Outlier Detection
Financial Markets Prediction with Deep Learning
A Web-Based Auction Platform for Electricity Retail Markets
Scalable Patch Management Using Evolutionary Analysis of Attack Graphs
Feature Selection in Clustering with Constraints: Application to Active Exploration of Music Collections
Towards Automatic Classification on Flying Insects Using Inexpensive Sensors
Class Discovery via Bimodal Feature Selection in Unsupervised Settings
DEAL: Deep Evidential Active Learning for Image Classification
Interaction Trees: Optimizing Ensembles of Decision Trees for Gene-Gene Interaction Detections
Domain Adaptation Utilizing Texts and Visions for Cross-domain Recommendations with No Shared Users
Early Detection of Signal and Process Anomalies in Enterprise Computing Systems
Indicative Support Vector Clustering with Its Application on Anomaly Detection
New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles
Comparing Transfer Learning and Traditional Learning Under Domain Class Imbalance
Learnable Deep Wavelet Packet Transform for Speech Emotion Recognition in High-Risk Suicide Calls
Optimizing Deep Neural Network Architecture with Enhanced Genetic Algorithm
A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function
Distance Ordering: A Deep Supervised Metric Learning for Pain Intensity Estimation
Foreclosure Sale and House Value: Correlation or Causation?
Word Embedding by Combining Resources and Integrating Techniques
A Retrieval-Based Dialogue System Utilizing Utterance and Context Embeddings
Audio Classification of Low Feature Spectrograms Utilizing Convolutional Neural Networks
Does Semantic Search Performs Better than Lexical Search in the Task of Assisting Legal Opinion Writing?
EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation
HMM-Based Intrusion Detection System for Software Defined Networking
Hybrid Condition Monitoring for Power Electronic Systems
A Latent Semantic Approach to XML Clustering by Content and Structure Based on Non-negative Matrix Factorization
Technical Indicators and Prediction for Energy Market Forecasting
Impact of Stress on Sleep Levels: A Comparative Machine Learning Study Based on Wearable Data
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices
Application of Face Recognition in Tracing COVID-19 Fever Patients and Close Contacts
Interpretability of ReLU for Inversion
Scrubbing the Web for Association Rules: An Application in Predictive Text
Brazilian Free-Energy Market Mid-and Long-Term Forecasting Using Multi-Source Ensemble Solution
Machine Learning Approach for Particle Matching, Tracing and Velocimetry with Self-Organizing Map: Application to Complex Plasmas
A Hierarchical Bayesian IRT Analysis of Children's Risk Propensity
Local Sensitive Hashing (LSH) and Convolutional Neural Networks (CNNs) for Object Recognition
Deep Multi-camera People Detection
Automatic Segmentation of the Prostate Using a Genetic Algorithm for Prostate Cancer Treatment Planning
Evaluating Adversarial Robustness with Expected Viable Performance
Automatically Filtering Irrelevant Words for Applications in Language Acquisition
On the Validity of a New SMS Spam Collection
Estimating class probabilities in random forests
Elastic distributed training with fast convergence and efficient resource utilization
Application of open Source Deep Neural Networks for Object Detection in Industrial Environments
Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study
Localized Deep Norm-CNN Structure for Face Verification
Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes
Detecting Dialogue Hallucination Using Graph Neural Networks
KerasBERT: Modeling the Keras Language
State Abstraction in Reinforcement Learning by Eliminating Useless Dimensions
Curriculum Learning to Handle Extreme Class Imbalance for Acoustic Modeling of Forest Elephant Calls
Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations
Predicting Waiting Time Overflow on Bank Teller Queues
Charge Prediction of Lipid Fragments in Mass Spectrometry
18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019
A New Competitive Strategy for Self Organizing Map Learning
Combining Improvements in FQF Distributional Reinforcement Learning Algorithm
Towards Building A Robust Large-Scale Bangla Text Recognition Solution Using A Unique Multiple-Domain Character-Based Document Recognition Approach
Training Generative Adversarial Networks with Bidirectional Backpropagation
Recurrent Neural Network and Convolutional Neural Network for Detection of Denial of Service Attack in Microservices
Layer-Specific Adaptive Learning Rates for Deep Networks
Extreme Solutions NSGA-III (E-NSGA-III) for Scientific Workflow Scheduling on Cloud
CandyRL: A Hybrid Reinforcement Learning Model for Gameplay
Exposing Computer Generated Images by Eye's Region Classification via Transfer Learning of VGG19 CNN
Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal
Ordered Segment for Classification of Big Data
Forecasting PM2.5 Concentration Using Spatio-Temporal Extreme Learning Machine
Automated Detection of Adenoviral Conjunctivitis Disease from Facial Images using Machine Learning
13th International Conference on Machine Learning and Applications, ICMLA 2014, Detroit, MI, USA, December 3-6, 2014
Control Chart Pattern Recognition Through Inductive Learning
ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation
Machine Learning with Certainty: A Requirement for Intelligent Process Automation