yusuke1997/dblp-id-title huggingface dataset:
On the Effectiveness of a Hybrid Model for Volatility Prediction
GAN Based Approach for Drug Design
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
A Feature Selection Algorithm for Detecting Subtype Specific Functional Sites from Protein Sequences for Smad Receptor Binding
Evolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting
A Long-Short Term Memory Network for Detecting CRISPR Arrays
Infinite Dirichlet Mixture Model and Its Application via Variational Bayes
Space Partitioning for Scalable K-Means
Prediction of Inter-residue Contact Clusters from Hydrophobic Cores
Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network
Zero-Shot Detection and Sanitization of Data Poisoning Attacks in Wearable AI Using Large Language Models
Better Worst-Case Complexity Analysis of the Block Coordinate Descent Method for Large Scale Machine Learning
The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results
Knowledge Transfer for Feature Generation in Document Classification
An Effective CNN Approach for Diabetic Retinopathy Stage Classification with Dual Inputs and Selective Data Sampling
Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life
Dynamic Changes of Brain Network During Epileptic Seizure
Predicting Secondary Equity Offerings (SEOs) Using Machine Learning
Web Application Attacks Detection Using Machine Learning Techniques
Weighted Consensus Clustering for Identifying Functional Modules in Protein-Protein Interaction Networks
Graph-based Recommendation using Graph Neural Networks
Using Twitter Content to Predict Psychopathy
Dynamic Prediction of Reblowing Necessity in BOF Steelmaking
Machine Learning of Feature Importance for Biomechanical Efficiency of Baseball Pitching
State Tracking of Composite Delaminations with a Bayesian Filter
A Bayesian kernel for the prediction of neuron properties from binary gene profiles
Efficient Defect Detection from Consecutive Monocular Images by Deep Learning
Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning
ECG Biometric Identification Using Wavelet Analysis Coupled with Probabilistic Random Forest
An Auto Regressive Deep Learning Model for Sales Tax Forecasting from Multiple Short Time Series
Illuminating the Black Box: A Comparative Study of Explainable AI for Interpreting Time Series Data in Vehicle Power Net Consumption Models
Self-Supervised Learning in the Twilight of Noisy Real-World Datasets
Real-Time Change Detection At the Edge
Unsupervised Grammar Induction of Clinical Report Sublanguage
Regularizing the Local Similarity Discriminant Analysis Classifier
Connecting Distributed Pockets of Energy Flexibility through Federated Computations: Limitations and Possibilities
Predicting Recovery of Credit Operations on a Brazilian Bank
The Goofus & Gallant Story Corpus for Practical Value Alignment
Dynamic Distributed Genetic Algorithm Using Hierarchical Clustering for Flight Trajectory Optimization of Winged Rocket
iPEERS: A Multi-Layered Expert Recommender System for Enhanced Customer Support
Detecting Disease Associated Genes and Gene-Gene Interactions with Penalized AUC Maximization
Real-Time Human-Classified Emotional MIDI Dataset Integration for Symbolic Music Generation
Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions
Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation
Machine Learning Techniques Applied to Dynamic Video Adapting
Temporal Link Prediction Using Time Series of Quasi-Local Node Similarity Measures
Stochastic Coordinate Descent for 01 Loss and Its Sensitivity to Adversarial Attacks
An Adaptable Time Warping Distance for Time Series Learning
Constrained Motion Particle Swarm Optimization and Support Vector Regression for Non-linear Time Series Regression and Prediction Applications
Self-Configuring and Evolving Fuzzy Image Thresholding
IGN : Implicit Generative Networks
An Effective Baseline for Robustness to Distributional Shift
Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning
Robust Vehicle Tracking Using Perceptual Hashing Algorithm
A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis
Fixed vs. Dynamic Sub-Transfer in Reinforcement Learning
Bagging Ranking Trees
Multiple Learning for Regression in Big Data
Genetic Algorithms, Neural Networks, Fuzzy Inference System, Support Vector Machines for Call Performance Classification
Quantized Transformer Language Model Implementations on Edge Devices
Infinite Decision Agent Ensemble Learning System for Credit Risk Analysis
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
Identifying Laguerre-Gaussian Modes using Convolutional Neural Network
Facial Expression Recognition Using Kinect Depth Sensor and Convolutional Neural Networks
Improving Kernel Density Classifier Using Corrective Bandwidth Learning with Smooth Error Loss Function
Learning Unbiased News Article Representations: A Knowledge-Infused Approach
An RNN-LSTM Based Flavor Recommender Framework in Hybrid Cloud
Extraction of Failure Graphs from Structured and Unstructured Data
Anomalies Detection in Smart-Home Activities
Automatic generation of reviews of scientific papers
Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study
RaceGAN: A Framework for Preserving Individuality While Converting Racial Information for Image-to-Image Translation
OUPS: A Combined Approach Using SMOTE and Propensity Score Matching
Scheduled Sampling for Recursive Multi-Step GPU Temperature Forecasting
Early Identification of Vulnerable Software Components via Ensemble Learning
A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart
An Ensembled RBF Extreme Learning Machine to Forecast Road Surface Temperature
A web based adaptive educational system
Pelee-Text: A Tiny Convolutional Neural Network for Multi-oriented Scene Text Detection
Ecosembles: A Rapidly Deployable Image Classification System Using Feature-Views
Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations
Measuring and Modifying Factual Knowledge in Large Language Models
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks
Using Convolutional Neural Networks to Extract Keywords and Keyphrases: A Case Study for Foodborne Illnesses
Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation
KG-Infused LLM for Virtual Health Assistant: Accelerated Inference and Enhanced Performance
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
Discriminative Optimization of String Similarity and Its Application to Biomedical Abbreviation Clustering
Extracting Topical Information of Tweets Using Hashtags
Optimal Parameter Estimation of Biological Systems through Deep Reinforcement Learning
Multiple Kernel Representation Learning for WiFi-Based Human Activity Recognition
Multilevel Regression Models for Learning in the Presence of Rare Data
Automatic Algorithm Selection in Computational Software Using Machine Learning
Multimodal Word Sense Disambiguation in Creative Practice
Improved Classification Technique of Neural Network Using Weighted Distance Function
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition
Classification-Based Adaptive Web Scraper
Vehicle Tracking with Crop-based Detection
A New Approach to Segment Hemorrhagic Stroke in Computed Tomography via Optimum Path Snakes
Combining Analytical and Holistic Strategies for Handwriting Recognition
Adaptive Modular Approach for Online Fault Diagnosis of Discrete Event Systems
Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms
Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems
An Internet-based Fuzzy Medical Advisory System using Multi-Agent Methodology
A naiive bayes learning based website reconfiguration system
A Review of Deep Learning Methods Applied on Load Forecasting
Multi-Agent Deep Reinforcement Learning for Walker Systems
A GA-based Learning Algorithm for Inducing M-of-N-like Text Classifiers
Human Action Recognition from Body-Part Directional Velocity Using Hidden Markov Models
Transient States of the Multiscalar Controlled Double Fed Induction Generator in the Wind Farm
Machine learned regression for abductive DNA sequencing
Comparative Analysis of Inference Performance of Pre-Trained Deep Neural Networks in Analog Accelerators
Iterative weighting of phylogenetic profiles increases classification accuracy
Adventure Game with a Neural Network Controlled Non-playing Character
Positional Tracking of Physical Objects in an Augmented Reality Environment Using Neuromorphic Vision Sensors
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-septic Patients
Energy Efficient EEG Monitoring System for Wireless Epileptic Seizure Detection
Validation of a Federation of Collaborative Rational Agents for the Diagnosis of Acute Coronary Syndromes in a Population with High Probability
Individualized Conditioning and Negative Distances for Speaker Separation
A Study on Effects of Different Control Period of Neural Network Based Reference Modified PID Control for DC-DC Converters
An Optimal Regression Algorithm for Piecewise Functions Expressed as Object-Oriented Programs
Active learning for reducing bias and variance of a classifier using Jensen-Shannon divergence
Subject-Independent Facial Expression Recognition with Biologically Inspired Features
Efficient construction of relational features
Decision rule extraction and reduction based on grey lattice classification
Domain-Invariant Crop Type Mapping Using Transformer-Based Time-Frequency Feature Extraction and Adaptation for Unlabeled Target Regions
Robust Target Localization and Segmentation Using Graph Cut, KPCA and Mean-Shift
Fake Review Detection Using Rating-Sentiment Inconsistency
A Pipeline for Optimizing F1-Measure in Multi-label Text Classification
The Retrieval of Influencing Factors of Customer Satisfaction by Case-based Reasoning
MLaaS: Machine Learning as a Service
Automatic Object Detection Using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay
Evaluating Real-Time Anomaly Detection Algorithms - The Numenta Anomaly Benchmark
Heart Audio Classification Using Deep Learning
Adaptation of Transformer Model for Numeric Case
Predicting Customer Churn in Retailing
Comparing the quality of neural network uncertainty estimates for classification problems
A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference
Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input
On the Use of SVMs to Detect Anomalies in a Stream of SIP Messages
Online One-Class SVMs with Active-Set Optimization for Data Streams
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics
Deep Baseline Network for Time Series Modeling and Anomaly Detection
Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients
Learning Generative Models of Social Interactions with Humans-in-the-Loop
Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network
Spatial Feature Extraction for Classification of Nonstationary Myoelectric Signals
What to Learn Next: Recommending Commands in a Feature-Rich Environment
Benefits Analysis of Live Customer Support Chat in E-commerce Websites: Dimensions of a New Success Model for Live Customer Support Chat
Shrinking: Reconstruction of Parameterized Surfaces from Signed Distance Fields
An HMM-ensemble approach to predict severity progression of ICU treatment for hospitalized COVID-19 patients
Object Counting on Low Quality Images: A Case Study of Near Real-Time Traffic Monitoring
Conformal Prediction Using Random Survival Forests
An Experimental Design to Evaluate Class Imbalance Treatment Methods
An Empirical Evaluation of the t-SNE Algorithm for Data Visualization in Structural Engineering
A Cyclic Contrastive Divergence Learning Algorithm for High-Order RBMs
ChemVise: Maximizing Out-of-Distribution Chemical Detection with a Novel Application of Transfer Learning
ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems
High-Speed Deformation Prediction in Selective Laser Melting Using Context-Adaptive Neural Networks
ALLFA: Active Learning Through Label and Feature Augmentation
BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram
A Deep Learning Approach to Modeling a Complex Multi-variate, Temporal Thermal Problem
Enhancing Decision Tree Based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization
Determining Association between Fatal Heart Failure and Chronic Kidney Disease: A Machine Learning Approach
Current Advances on Deep Learning-based Human Action Recognition from Videos: a Survey
Application of deep learning to distinguish multiple deep brain stimulation parameter configurations for the treatment of Parkinson's disease
A Sentiment Analysis Benchmark for Automated Machine Learning Applications
Feature Subset Selection based on Redundancy Maximized Clusters
Improving Spectral Learning by Using Multiple Representations
A Persona-Based Multi-turn Conversation Model in an Adversarial Learning Framework
Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis
Comparative Analysis of Support Vector Machines Based on Linear and Quadratic Optimization Criteria
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions
Theoretical Analysis of the Advantage of Deepening Neural Networks
Comprehending Lexical and Affective Ontologies in the Demographically Diverse Spatial Social Media Discourse
Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space
UDBE: Unsupervised Diffusion-Based Brightness Enhancement in Underwater Images
Ensemble Statistical and Heuristic Models for Unsupervised Word Alignment
A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data
A New Framework for Fine Tuning of Deep Networks
A new discrete binary particle swarm optimization based on learning automata
Sensitivity Analysis for Feature Selection
NewsCubeSum: A Personalized Multidimensional News Update Summarization System
Dual Tree Complex Wavelet Transform Based Multiclass Object Classification
Protein-Protein Interaction Prediction Using Single Class SVM
Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels
A Machine Learning Approach for Identifying HLA Variants Associated with Symptomatic and Asymptomatic COVID-19
Optimizing 3D Geometry Reconstruction from Implicit Neural Representations
Intent Detection at Scale: Tuning a Generic Model using Relevant Intents
Semi-Supervised Learning with Bidirectional Adaptive Pairwise Encoding
Robust Learning for Adaptive Programs by Leveraging Program Structure
Zero Shot Deep Learning from Semantic Attributes
Learning from Multiple Related Data Streams with Asynchronous Flowing Speeds
Parallel Coordinate Descent for the Adaboost Problem
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Detecting Star Cracks in Topography Images of Specular Back Surfaces of Structured Wafers
METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest
A Probabilistic Programming Approach for Outlier Detection in Healthcare Claims
Anomaly Detection Using Deep Learning Based Image Completion
Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning
Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification
Gaussian Process with Correlation Factor for Text Classification Problem
A Multi-objective Rule Optimizer with an Application to Risk Management
RFOOD: Real-time Facial Authentication and Out -of-distribution Detection with Short-range FMCW Radar
A Web Based Face Counter Prediction System from Only Fingerprints
TubeSpam: Comment Spam Filtering on YouTube
Making the Lipschitz Classifier Practical via Semi-infinite Programming
Data augmentation for linearly separable feature space
Battery Degradation Temporal Modeling Using LSTM Networks
Face recognition using OPRA-faces
An Inverse Reinforcement Learning Algorithm for Partially Observable Domains with Application on Healthcare Dialogue Management
Hybrid Neural Network Based Model for Predicting the Performance of a Two Stroke Spark Ignition Engine
Robust Adversarial Defense by Tensor Factorization
Outlier Detection with One-Class Classifiers from ML and KDD
Spars Kernelized Features for Prediction of Rock's Carbon Capture using 3D X-Ray Images
Probabilistic Graphical Models-Theory, Algorithm, and Application
Through-Wall Pose Imaging in Real-Time with a Many-to-Many Encoder/Decoder Paradigm
Semantic Partition Based Association Rule Mining across Multiple Databases Using Abstraction
Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting
An N-Dimensional Neural Network tool for the real-time optimisation of accelerator parameters
Efficient Content Replacement in Wireless Content Delivery Network with Cooperative Caching
Performance and Security Strength Trade-Off in Machine Learning Based Biometric Authentication Systems
Optimizing Audio Advertising Campaign Delivery with a Limited Budget
Self-Optimizing a Clustering-based Tag Recommender for Social Bookmarking Systems
Neuro-Fuzzy Function Approximations Using Feedforward Networks - An Application of Sigmoidal Signal
Nonparametric Bayesian Modeling for Automated Database Schema Matching
Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data
Low-Power Classification using FPGA - An Approach based on Cellular Automata, Neural Networks, and Hyperdimensional Computing
An Ontology-based transfer learning method improving classification of medical documents
Extracting Addresses from News Reports Using Conditional Random Fields
Deeper Bidirectional Neural Networks with Generalized Non-Vanishing Hidden Neurons
Unsupervised Video Summarization via Dynamic Modeling-Based Hierarchical Clustering
A Multi-View Android Malware Detection Model Through Multi-Objective Optimization
Worker Filtering with Limited Supervision in Crowdsourcing Systems
Affect Detection and Classification from the Non-stationary Physiological Data
Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques
Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors
Assessing Wireless Data Services with Machine Learning and Geostatistics
Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers
Deep Spatiotemporal Feature Learning with Application to Image Classification
Use of Neural Networks to Predict Adverse Outcomes from Acute Coronary Syndrome for Male and Female Patients
Coordinated Reinforcement Learning Agents in a Multi-agent Virtual Environment
Graph Based Semi-supervised Non-negative Matrix Factorization for Document Clustering
An Empirical Study on Wrapper-Based Feature Selection for Software Engineering Data
Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem
Automating Questions and Answers of Good and Services Tax system using clustering and embeddings of queries
Patient-Specific Seizure Detection from Intra-cranial EEG Using High Dimensional Clustering
A Measure of Credibility of Solar Power Prediction
Solving an inverse partial differential equation for a two dimensional heat conduction problem with oscillating boundary conditions using an artificial immune system
Analysis of Railway Accidents' Narratives Using Deep Learning
Choosing Best Fitness Function with Reinforcement Learning
Google Penguin: Evasion in Non-English Languages and a New Classifier
Sensor-Based Obsessive-Compulsive Disorder Detection With Personalised Federated Learning
Improving gene expression programming performance by using differential evolution
Automatic Instrument Segmentation in Robot-Assisted Surgery using Deep Learning
Decoupling of clustering and classification steps in a cluster-based classification
Sinkhorn Divergence of Topological Signature Estimates for Time Series Classification
A Privacy-Preserving Solution for the Bipartite Ranking Problem
Visualising Singing Style under Common Musical Events Using Pitch-Dynamics Trajectories and Modified TRACLUS Clustering
Disease Prediction Based on Individual's Medical History Using CNN
Data Integrity of Industrial Controllers via Multi-resolution Hierarchical Time Series Clustering
Evolution of a P/N fuzzy obstacle avoidance controller for an autonomous robot
Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis
Fine-grained analysis of the transformer model for efficient pruning
LingBERT, Linguistic Knowledge Injection into Attention Mechanism Based on a Hybrid Masking Strategy
Balanced Multi-window Inference
Machine Learning Models to Identify the Risk of Modern Slavery in Brazilian Cities
Music Similarity Estimation with the Mean-Covariance Restricted Boltzmann Machine
DeepCensored: Deep-Learning Based Probabilistic Forecasting Framework for Censored Data
Discovering Programmer Intention Behind Written Source Code
Modelling Human Understanding of Thematic Roles with Motion Heuristics
A Power Variance Test for Nonstationarity in Complex-Valued Signals
Building Action Sets in a Deep Reinforcement Learner
Deep Neural Networks with Parallel Autoencoders for Learning Pairwise Relations: Handwritten Digits Subtraction
Generating Near and Far Analogies for Educational Applications: Progress and Challenges
A New Ant Evolution Algorithm to Resolve TSP Problem
Intelligent combination of kernels information for improved classification
Mood Classfication from Musical Audio Using User Group-Dependent Models
Active Learning for Feasible Region Discovery
Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm
Introducing Emergent Loose Modules into the Learning Process of a Linear Genetic Programming System
Deep Learning with Uncertainty Quantification for Predicting the Segmentation Dice Coefficient of Prostate Cancer Biopsy Images
Mixture of Decision Trees for Interpretable Machine Learning
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning
Exploring Machine Learning for Faster Mapping and Scheduling of Automotive Applications on ADAS Platforms
Model Shrinking for Embedded Keyword Spotting
Incremental Mitosis: Discovering Clusters of Arbitrary Shapes and Densities in Dynamic Data
NMF-Based Label Space Factorization for Multi-label Classification
Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups
Bimodal Emotion Recognition Based on Audio and Facial Parts Using Deep Convolutional Neural Networks
Data Reduction to Improve the Performance of One-Class Classifiers on Highly Imbalanced Big Data
SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction
Boosting of support vector machines with application to editing
Random Forest Classification for Hippocampal Segmentation in 3D MR Images
A System for De-identifying Medical Message Board Text
Synthetic Oversampling for Advanced Radioactive Threat Detection
Learning in a Continuous-Valued Attractor Network
ACGANs Improve Chemical Sensors for Challenging Distributions
An Intrusion Detection System for Multi-class Classification Based on Deep Neural Networks
Using Classification in the Preprocessing Step on Wi-Fi Data as an Enabler of Physical Analytics