yusuke1997/dblp-id-title huggingface dataset:
Improving L-BFGS Initialization for Trust-Region Methods in Deep Learning
Clustering Categorical Data Based on Maximal Frequent Itemsets
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering
Efficient Dictionary Compression for On-line Character Recognition
Estimating an Optimal Correlation Structure from Replicated Molecular Profiling Data Using Finite Mixture Models
Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets
SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers
Combating Comment Spam with Machine Learning Approaches
GCN with Clustering Coefficients and Attention Module
Enhancing Multivariate Time Series-Based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning
Multiagent Coordination Systems Based on Neuro-Fuzzy Models with Reinforcement Learning
Matrix-Based Representations and Gradient-Free Algorithms for Neural Network Training
DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning
Enhancing Transfer Learning Reliability via Block-Wise Fine-Tuning
Actively Discover Knowledge by Structural Risk Estimation
Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer
SksOpen: Efficient Indexing, Querying, and Visualization of Geo-spatial Big Data
Gene Expression Profile Classification Using Random Projection and Sparse Representation
Avatar Face Recognition Using Wavelet Transform and Hierarchical Multi-scale LBP
A Framework for Comprehensive Electronic QA in Radiation Therapy
Multi-Class Classification Using a New Sigmoid Loss Function for Minimum Classification Error (MCE)
Geographic Boosting Tree: Modeling Non-Stationary Spatial Data
Transformation Learning Via Kernel Alignment
Modelling Mutual Information between Voiceprint and Optimal Number of Mel-Frequency Cepstral Coefficients in Voice Discrimination
Application of Neural Networks Based SANARX Model for Identification and Control Liquid Level Tank System
Predicting Patients Likely to Overstay in Hospitals
Personalized Spam Filtering with Natural Language Attributes
Augmented Reinforcement Learning for Interaction with Non-expert Humans in Agent Domains
GADLE: A Robust Alternative to Reinforcement Learning for Systematic Investment
Bias Evaluation of Professors' Reviews
A Multi-expert Classification Framework with Transferable Voting for Intrusion Detection
Screening of Heart Sounds Using Hidden Markov and Gammatone Filterbank Models
Temporal Exemplar-Based Bayesian Networks for Facial Expression Recognition
Improving Prediction by Weighting Class Association Rules
Multi-label Collective Classification Using Adaptive Neighborhoods
LLM-based Sign Language Production
Unsupervised Disaggregation for Non-intrusive Load Monitoring
A Boosted Tree Machine Learning Alternative to Predictive Evaluation of Nondestructive Concrete Compressive Strength
Boundary Constrained Manifold Unfolding
Hateful Speech Detection in Public Facebook Pages for the Bengali Language
Automatic Seizure Detection via an Optimized Image-Based Deep Feature Learning
Toward Scene Understanding with Depth and Object-Aware Clustering in Contested Environment
Server Intrusion Detection Using SAFARI Algorithm
Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian Networks
Unsupervised machine learning and cognitive systems in learning user state for context-aware computing
SVTON: Simplified Virtual Try-On
Research of PU Text Semi-supervised Classification Based on Ontology Feature Extraction
On Label Quality in Class Imbalance Setting -A Case Study
Finding and Segmenting Mathematical Equations in Students' Online Handwritten Assignments
Topological Regularization for Dense Prediction
Predicting Movie Box Office Profitability: A Neural Network Approach
Automatic Binding Point and Surface Helix Angle Measurement in Historic Weft-Faced Compound Weave Figured Silks
Energy Efficiency for Unmanned Aerial Vehicles
Censored Time Trees TM for predicting time to PSA recurrence
Virtual Metrology in Semiconductor Manufacturing by Means of Predictive Machine Learning Models
Deep Learning Based Re-Identification of Wooden Euro-pallets
Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets
A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis
Using Published Medical Results and Non-homogenous Data in Rule Learning
Physics-Guided Neural Network with Model Discrepancy Based on Upper Troposphere Wind Prediction
Intent based Multimodal Speech and Gesture Fusion for Human-Robot Communication in Assembly Situation
DroidMLN: A Markov Logic Network Approach to Detect Android Malware
Using Support Vector Machines to Classify Student Attentiveness for the Development of Personalized Learning Systems
A Clustering Approach in Developing Prognostic Systems of Cancer Patients
De-noising Slap Fingerprint Images for Accurate Slap Fingerprint Segmentation
Regional Normal Liver Tissue Density Changes in Patients Treated with Stereotactic Body Radiation Therapy for Liver Metastases
Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation
Combining active learning and relevance vector machines for text classification
A Switch-and-Restart Algorithm with Exponential Restart Strategy for Objective Selection and its Runtime Analysis
The data mining advisor: meta-learning at the service of practitioners
A Parameter Determination System for Wind Turbines Based on Naive Bayes Classification Algorithm
Evaluating Mixed-Precision Arithmetic for 3D Generative Adversarial Networks to Simulate High Energy Physics Detectors
Analysis of COVID-19 in different countries using Wigner energy distribution and clustering
An Empirical Study on Machine Learning Models for Wind Power Predictions
Predicting YOLO Misdetection by Learning Grid Cell Consensus
Adapting Polynomial Mahalanobis Distance for Self-Supervised Learning in an Outdoor Environment
Android Malware Detection: Building Useful Representations
Comparing the Modeling Powers of RNN and HMM
Are Accuracy and Robustness Correlated
Smoother Robot Control from Convolutional Neural Networks Using Fuzzy Logic
Learning to Rank Using Markov Random Fields
Purrai: A Deep Neural Network based Approach to Interpret Domestic Cat Language
Deep Learning Based Link Failure Mitigation
Automatic Intravital Video Mining of Rolling and Adhering Leukocytes
Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data
Boosting the Detection of Malicious Documents Using Designated Active Learning Methods
An Application of Autonomous Learning Multimodel System for Localization in Industrial Warehouse Storage Rack
Time Series Anomaly Detection from a Markov Chain Perspective
Unsupervised Open Set Recognition using Adversarial Autoencoders
Dynamic Joint Action Perception for Q-Learning Agents
A Novel Noise Filtering Algorithm for Imbalanced Data
Geographical feature classification from text using (active) convolutional neural networks
Multi-Spectral Entropy Constrained Neural Compression of Solar Imagery
Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures
Novel Margin Features for Mammographic Mass Classification
PolyCluster: an interactive visualization approach to construct classification rules
Demographic Group Prediction Based on Smart Device User Recognition Gestures
Incremental Learning Vector Auto Regression for Forecasting with Edge Devices
Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network
From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks
3D Deformable Convolutions for MRI Classification
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics
Anomaly Dataset Augmentation Using the Sequence Generative Models
A comparative study among three algorithms for frequent pattern generation
Multi-Model-Based Federated Learning to Overcome Local Class Imbalance Issues
Combining Visual and Acoustic Features for Music Genre Classification
Energy Production and Economic Growth: A Causality Analysis for Turkey Based on Computer
Using LLMs to Establish Implicit User Sentiment of Software Desirability
An Attention-Based Image Retrieval System
Sentiment Analysis of Restaurant Reviews on Yelp with Incremental Learning
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion
Automatic Gender Classification System from Finger 2D: 4D Ratio and Comparison of Successes with Using Different Algorithm
Subword Contextual Embeddings for Languages with Rich Morphology
Structural health and intelligent monitoring of wind turbine blades with a motorized telescope
Consistent AdaBoost for Boosting Stumps
Character Recognition through Feature Vector Using Weighted Penalty by Order
Lambda Consensus Clustering
Collaborative Attentive Autoencoder for Scientific Article Recommendation
Predictive and Prescriptive Analytics for Performance Optimization: Framework and a Case Study on a Large-Scale Enterprise System
Permeability Parametrization Using Higher Order Singular Value Decomposition (HOSVD)
A Cost-Sensitive Approach to Enhance the use of ML Classifiers in Software Testing Efforts
Increasing Adversarial Robustness Around Uncertain Boundary Regions with Amodal Segmentation
Hypergraph Contrastive Learning with Graph Structure Learning for Recommendation
Improving the Donor Journey with Convolutional and Recurrent Neural Networks
Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters
Ensemble Machine Methods for DNA Binding
Parallel Training of a Back-Propagation Neural Network Using CUDA
DLGraph: Malware Detection Using Deep Learning and Graph Embedding
Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning
Time Series Data Augmentation using Time-Warped Auto-Encoders
A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection
A Novel Study for the Modeling of Monthly Evaporation Using K-Nearest Neighbor Algorithms for a Semi-Arid Continental Climate
Visual Big Data Analytics for Traffic Monitoring in Smart City
Nonlinear Dynamical Multi-Scale Model of Associative Memory
Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks
Persistent Homology Machine Learning for Fingerprint Classification
Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets
Scenario Based Functional Regression Testing Using Petri Net Models
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
Automated Hand Osteoarthritis Classification Using Convolutional Neural Networks
A Cognitive Architecture for Object Recognition in Video
Tell Me More! Using Multiple Features for Binary Text Classification with a Zero-Shot Model
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data
Using Artificial Intelligence to Predict Patient Electronic Health Record Access Points
Assessing Eurosystem Policy Rules By Applying Deep Learning Approach
On the L1-Norm Approximation of a Matrix by Another of Lower Rank
FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation
Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies
Qualitative Diagnosis of LLMs as Judges Using LevelEval
Learning with Guaranteed Label Quality
Learning Context Free Grammars by Using SAT Solvers
A Novel Domain-Specific Feature Extraction Scheme for Arabic Handwritten Digits Recognition
Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform
Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text
International Conference on Machine Learning and Applications, ICMLA 2024, Miami, FL, USA, December 18-20, 2024
Learning to Rank with Only Positive Examples
Unsupervised Topic Model Based Text Network Construction for Learning Word Embeddings
An agent based system for california electricity market: a perspective of myopic machine learning
Prediction of Ejection State for a Pneumatic Valve-Controlled Micro-Droplet Generator by a BP Neural Network
Improving Image Segmentation Using Genetic Algorithm
DC Bus Voltage Regulation of an Active Power Filter Using a Fuzzy Logic Controller
The Importance of Local Labels Distribution and Dominance for Node Classification in Graph Neural Networks
Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit
Simulating New and Old Twitter User Activity with XGBoost and Probabilistic Hybrid Models
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points
Deep Learning Based Car Damage Classification
Dynamical System Autoencoders
Deep Learning-Based Modeling of Daily Suspended Sediment Concentration and Discharge in Esopus
Interactive Image Segmentation Using Multimodal Regularized Kernel Embedding
Automatic Fault Diagnosis of Drills Using Artificial Neural Networks
Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data
CLE: Context-Aware Local Explanations for High Dimensional Tabular Data
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources
IVDR: Imitation learning with Variational inference and Distributional Reinforcement learning to find Optimal Driving Strategy
The Machine Learning Models for Activity Recognition Applications with Wearable Sensors
Design of Simple Limit Cycles with Recurrent Neural Networks for Oscillatory Control
TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks
Robust Collaborative Fraudulent Transaction Detection using Federated Learning
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect Prediction
Modeling Spatial-Temporal Epidemics Using STBL Model
Personalized Recommendation in Folksonomies Using a Joint Probabilistic Model of Users, Resources and Tags
Combining multi-distributed mixture models and bayesian networks for semi-supervised learning
Computational Analysis of Muscular Dystrophy Sub-types Using a Novel Integrative Scheme
LLM for Generating Simulation Inputs to Evaluate Path Planning Algorithms
Simulation Experiments with Bio-inspired Algorithms for Odor Source Localization in Laminar Wind Flow
Excitation Current Forecasting for Reactive Power Compensation in Synchronous Motors: A Data Mining Approach
A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease
An Application of Generative Adversarial Networks for Super Resolution Medical Imaging
Constrained Nonnegative Tensor Factorization for Clustering
The Effect of Time on the Maintenance of a Predictive Model
Off-Line Signature Recognition and Verification by Kernel Principal Component Self-Regression
21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022
Drug design by machine learning: ensemble learning for QSAR modeling
Tactile Sensor System Processing Based on K-means Clustering
Resource-aware On-device Deep Learning for Supermarket Hazard Detection
Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
Feature Extraction Using Apparent Power and Real Power for Smart Home Data Classification
Using Bipartite Anomaly Features for Cyber Security Applications
Leveraging Machine Learning Algorithms to Perform Online and Offline Highway Traffic Flow Predictions
Artificial Neural Network for Prediction of Ethnicity Based on Iris Texture
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting
Sparse Representation Based Discriminative Canonical Correlation Analysis for Face Recognition
Understanding Traffic Cruising Causation Via Parking Data Enhancement
FL-EGM: Decentralized Federated Learning using Aggregator Selection with Enhanced Global Model
Learning to Tag from Logic Constraints in Hyperlinked Environments
Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings
An extensible service oriented distributed data mining framework
Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context
TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting
A Machine Learning Approach to Maximizing Broadband Capacity via Dynamic DOCSIS 3.1 Profile Management
Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm
New filter-based feature selection criteria for identifying differentially expressed genes
20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021
Evolutionary Adversarial Attacks on Payment Systems
Multi-objective Shipment Allocation using Extreme Nondominated Sorting Genetic Algorithm-III (E-NSGA-III)
Inner Attention Based bi-LSTMs with Indexing for non-Factoid Question Answering
Frequent Chronicle Mining: Application on Predictive Maintenance
Auto Encoder Based Image Inpainting Model Using Multi Layer Latent Representations
Constrained Projective Non-negative Matrix Factorization for Semi-supervised Multi-label Learning
Towards Sequential Multivariate Fault Prediction for Vehicular Predictive Maintenance
A Survey of Biometric and Machine Learning Methods for Tracking Students' Attention and Engagement
Deep object detection for waterbird monitoring using aerial imagery
Prediction of Power Grid Failure Using Neural Network Learning
Post-Processing Association Rules Using Networks and Transductive Learning
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction
Application of Machine Learning Techniques in Temperature Forecast
Profiling Analysis for Enhancing the Performance of Graph Neural Networks
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Weakly Supervised Learning of Dialogue Structure in MOOC Forum Threads
Evaluating the Performance of Classification Algorithms for Land-Cover Classification
Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy
A Machine Learning Approach to Detecting Sensor Data Modification Intrusions in WBANs
Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis
Structured Prediction Models for Chord Transcription of Music Audio
An Unsupervised Approach to Motion Detection Using WiFi Signals
Impact of missing data in training artificial neural networks for computer-aided diagnosis
A game theory approach to pairwise classification with support vector machines
Edge utilization in graph convolutional networks for graph classification
Incremental Learning for Multitask Pattern Recognition Problems
An EMD Based Method for Reduction of Ballistocardiogram Artifact from EEG Studies of Evoked Potentials
Verifying Artificial Neural Network Classifier Performance Using Dataset Dissimilarity Measures
From Pixels to Palate: Deep Learning-Based Image Aesthetics Assessment for Food and Beverages
A Countable State PGM for Tracking Entity Movement
Random Forest with Random Projection to Impute Missing Gene Expression Data
Evaluating The Number of Trainable Parameters on Deep Maxout and LReLU Networks for Visual Recognition
An Instance-Based Learning Approach for Available-Memory Non-minimal Cost-Bounded Search
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks
A Lightweight and Fast Approach for Upper Limb Range of Motion Assessment
Eye State Prediction from EEG Data Using Boosted Rotational Forests
Clustering and Naive Bayesian Approaches for Situation-Aware Recommendation on Mobile Devices
Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements
Spatial Based Feature Generation for Machine Learning Based Optimization Compilation
An Image Clustering and Retrieval Framework Using Feedback-Based Integrated Region Matching
Few-Shot Link Prediction with Domain-Agnostic Graph Embedding
Approach to Control of the Output Voltage in Renewable Energy Sources on the Basis of AE-method Using Genetic Algorithm
Mining Interesting Temporal Rules with Genetic Programming and Specialized Hardware
Meta-learning and Model Selection in Multi-objective Evolutionary Algorithms
Developing an Appropriate Data Normalization Method
Modeling and Simulation of Community Mobility Model for Next Generation Wireless Networks Using Coloured Petri Nets
Investigating Sentimental Relation between Social Media Presence and Academic Success of Turkish Universities
Evaluating the Efficacy of Large Language Models in Automating Academic Peer Reviews
Using Consumer Behavior Data to Reduce Energy Consumption in Smart Homes: Applying Machine Learning to Save Energy without Lowering Comfort of Inhabitants
An All-at-once Unimodal SVM Approach for Ordinal Classification
FReNG: Federated Optimization by Using Regularized Natural Gradient Descent
A Comparison of Three Different Methods for Classification of Breast Cancer Data
A Neural Network Based Handover Management Strategy for Heterogeneous Networks
A Logical Architecture for E-Knowledge Management
Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning
Monte Carlo Tree Search for Bayesian Reinforcement Learning
A Classifier Ensembling Approach for Imbalanced Social Link Prediction
RobustSPAM for Inference from Noisy Longitudinal Data and Preservation of Privacy
Comparative Analysis of the Impact of Discretization on the Classification with Naïve Bayes and Semi-Naïve Bayes Classifiers
Multi-dimensional sequential web mining by utilizing fuzzy interferencing
Improved CNN classification accuracy with the addition of shallow cascading CNNs
Street View Challenge: Identification of Commercial Entities in Street View Imagery
Face Recognition Challenge: Object Recognition Approaches for Human/Avatar Classification
ChatGPT vs. Human Annotators: A Comprehensive Analysis of ChatGPT for Text Annotation
Reducing the Effects of Detrimental Instances
Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets
Association Rule Mining by Agents
Towards Deep Learning Invariant Pedestrian Detection by Data Enrichment
Fuzzy-ExCOM Software Project Risk Assessment
Linear KernelPCA and K-Means Clustering Using New Estimated Eigenvectors of the Sample Covariance Matrix
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery
SummaTRIZ : Summarization Networks for Mining Patent Contradiction
Feedforward Neural Networks for Predicting the Duration of Maintained Software Projects
Game Character Facial Animation Using Actor Video Corpus and Recurrent Neural Networks
Location Invariant Flood Prediction using Fourier Neural Operator
An Edge Internet of Things Framework for Machine Learning-Based Skin Cancer Detection Models
RBF-FIRMLP Architecture for Digit Recognition
Probabilistic Multi-knowledge Transfer in Reinforcement Learning
AudioForesight: A Process Model for Audio Predictive Maintenance in Industrial Environments
Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding
A Data Driven Knowledge Acquisition Method and Its Application in Power System Dynamic Stability Assessment
Clustering image data with a fixed embedding
Toward Robust Generative AI Text Detection: Generalizable Neural Model
Recurrent Neural Network-Based Video Compression