yusuke1997/dblp-id-title huggingface dataset:
Predicting Residential Energy Consumption Using Wavelet Decomposition With Deep Neural Network
Towards Obfuscated Malware Detection for Low Powered IoT Devices
Comparing Learning-Based Methods for Identifying Disaster-Related Tweets
Integrating Fourier Transform and Residual Learning for Arctic Sea Ice Forecasting
Predicting purchase probability of retail items using an ensemble learning approach and historical data
Distributed Privacy Preserving Decision Support System for Predicting Hospitalization Risk in Hospitals with Insufficient Data
Machine Learning for Advising a Driver: A Survey
Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules
A Series Inspired CPG Model for Robot Walking Control
Memory-based context-sensitive spelling correction at web scale
Multi-agent Learning for Energy-Aware Placement of Autonomous Vehicles
Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking
Parallel Text Identification Using Lexical and Corpus Features for the English-Maori Language Pair
Mixture-of-Experts for Multi-Domain Defect Identification in Non-Destructive Inspection
AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations
Temporal Bottleneck Attention for Video Recognition
Online Time Series Segmentation Using Temporal Mixture Models and Bayesian Model Selection
Spatio-Temporal Change Detection with Granger Causality Based Cluster Sequence Mining
An Application of Latent Dirichlet Allocation to Analyzing Software Evolution
Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use?
Surface Roughness Discrimination Using Unsupervised Machine Learning Algorithms
Deep Ensemble Network for Quantification and Severity Assessment of Knee Osteoarthritis
Suggestion Mining from Online Reviews usingRandom Multimodel Deep Learning
Empirical Mode Decomposition with Envelope Extraction and LSTM for univariate time series forecasting
A Domain Specific Students' Assistance System For The Provision Of Instructional Feedback
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems
Deep Reinforcement Learning Monitor for Snapshot Recording
Training Deep Neural Classifiers with Soft Diamond Regularizers
Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models
A New Intelligent Steganalysis Method for Waveform Audio Files
Ant Colony Optimization with Stepwise Localization of the Discrete Search Space to Solve Function Optimization Problems
Informative Evaluation Metrics for Highly Imbalanced Big Data Classification
Neural Network Controller for Regulation of a Water-Cooled Fuel Cell Stack
Predicting Clinical Events via Graph Neural Networks
How can Automated Machine Learning Help Business Data Science Teams?
Support Vector Regression for Predicting the Enhancement Duration of Software Projects
Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs
IoT Environmental Analyzer using Sensors and Machine Learning for Migraine Occurrence Prevention
MoEAtt: A Deep Mixture of Experts Model using Attention-based Routing Gate
Utilizing a Hybrid Matrix Product State and Variational Quantum Circuit Architecture for the Detection of Kidney Diseases
Assessment of Neural Networks for Stream-Water-Temperature Prediction
Applications of Mobile Machine Learning for Detecting Bio-energy Crops Flowers
Use of Embedding Spaces for Transferring Robot Skills in Diverse Sensor Settings
Clustering Similar Actions in Sequential Decision Processes
Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device
A Hybrid Transfer Learning Mechanism for Object Classification across View
Annotating the Performance of Industrial Assets via Relevancy Estimation of Event Logs
ME-TSRN for Thermal Sensation Recognition via Facial Micro-expression
Toward Chemical-Trail Following Robots
Local Coordinate Projective Non-negative Matrix Factorization
Assessing Torso Deformity in Scoliosis Using Self-Organizing Neural Networks (SNN)
Empowering Simultaneous Feature and Instance Selection in Classification Problems through the Adaptation of Two Selection Algorithms
Sequential Inverse Approximation of a Regularized Sample Covariance Matrix
Adaptive Localization through Transfer Learning in Indoor Wi-Fi Environment
Fine-Grained Image Classification via Spatial Saliency Extraction
Vision Transformer-based Classification for Lung and Colon Cancer using Histopathology Images
Advanced ECHMM-Based Machine Learning Tools for Complex Big Data Applications
Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach
Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models
Statistical Learning for File-Type Identification
Self bounding genetic algorithms for machine learning
Model-Based Co-clustering for Continuous Data
A New Axes Re-ordering Method in Parallel Coordinates Visualization
Applying Feature Selection to Short Time Wavelet Transformed Vibration Data for Reliability Analysis of an Ocean Turbine
Shapelets-based Data Augmentation for Time Series Classification
Improvement of Bayesian Network Inference Using a Relaxed Gene Ordering
Prediction of Heart Attacks using Data Mining Techniques
Improvement of Particle Filter for Reinforcement Learning
Graph-Based Analysis of Similarities between Word Frequency Distributions of Various Corpora for Complex Word Identification
Chi-Sim: A New Similarity Measure for the Co-clustering Task
Quality Classification of Green Pellet Nuclear Fuels Using Radial Basis Function Neural Networks
Malware Classification using Recurrence Plots and Deep Neural Network
ICDARTS: Improving the Stability of Cyclic DARTS
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews
A Relative Tendency Based Stock Market Prediction System
A New Continuum Regression Method for Quantitative Analysis of Raman Spectrum
Realizing Real-Time Deep Learning-Based Super-Resolution Applications on Integrated GPUs
Deep Neural Network Compression for Image Classification and Object Detection
Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models
Incremental Dynamic Search Solver
Analysis of Cardholder Spending Behavior and Transaction Authentication to Enhance Credit Card Fraud Detection
A ChatGPT-like Solution for Power Transformer Condition Monitoring
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images
Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification
DSVAE: Disentangled Representation Learning for Synthetic Speech Detection
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning
Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems
An Active Learning Approach to Audio-to-Score Alignment Using Dynamic Time Warping
Empirical analysis of the convergence of Double DQN in relation to reward sparsity
Two-Stage Machine Learning Framework for Simultaneous Forecasting of Price-Load in the Smart Grid
Performance Analysis of a Hydrofoil with and without Leading Edge Slat
Automatic Scoring of a Nonword Repetition Test
Immune System Model for Detecting Web Server Attacks
Mixed Time-Frame Training for Reinforcement Learning
Securing 3D Deep Learning Models: Simple and Effective Defense Against Adversarial Attacks
Towards discovering organizational structure from email corpus
A New Neural Network to Process Missing Data without Imputation
Fast Decision Tree Learning Algorithms for Microarray Data Collections
Incremental Hybrid Approach for Microarray Classification
Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition
Feature Extraction and Selection in Ground Penetrating Radar with Experimental Data Set of Inclusions in Concrete Blocks
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks
Multiple Kernel Learning by Conditional Entropy Minimization
PI-LSTM: Physics-Infused Long Short-Term Memory Network
Mining Web to Detect Phishing URLs
Incremental SVD for Insight into Wind Generation
Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines
Facial Forgery-Based Deepfake Detection Using Fine-Grained Features
Two-Level Hierarchical Hybrid SVM-RVM Classification Model
Application of a Multilayer Perceptron Neural Network for Classifying Software Platforms of a Powered Prosthesis through a Force Plate
Soft Failure Detection Using Factorial Hidden Markov Models
Text Classification Using Tree Kernels and Linguistic Information
Improved Helper-Objective Optimization Strategy for Job-Shop Scheduling Problem
Learning Automata to Capture Temporal Patterns
Learning Non-linear White-box Predictors: A Use Case in Energy Systems
Exact Graph Structure Estimation with Degree Priors
Sensitivity Analysis of POMDP Value Functions
A Neural Model for Regular Grammar Induction
Frosting Weights for Better Continual Training
Learning Fairness under Constraints: A Decentralized Resource Allocation Game
Exploiting Domain Symmetries in Reinforcement Learning with Continuous State and Action Spaces
A Multiagent Approach to Ambulance Allocation Based on Social Welfare and Local Search
Multi-level Resolution Features for Classification of Transportation Trajectories
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007
Accelerated Text Data Augmentation Using a Paraphrase Generation Model with Round-Trip Translation as a Supervisor
Guided-Generative Network for noise detection in Monte-Carlo rendering
Generative Feature Models and Robustness Analysis for Multimedia Content Classification
Boosting with Adaptive Sampling for Multi-class Classification
A Comparative Study of Food Intake Detection Using Artificial Neural Network and Support Vector Machine
StitchNet: Composing Neural Networks from Pre-Trained Fragments
Predicting Binding Sites in the Mouse Genome
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation
Ontology-Based Post-Hoc Explanations via Simultaneous Concept Extraction
Feature fusion and degradation using self-organizing map
Controlled Randomness Improves the Performance of Transformer Models
Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques
Evolutionary Sound Matching: A Test Methodology and Comparative Study
Natural Image Segmentation Based on Precise Edge Detection
Machine Learning for Classifying Images with Motion Blur
Pre-trained Neural Networks Used for Non-linear State Estimation
Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics
Machine Learning Module to Improve Communication between Agents in Multi-agent System
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data
A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes
Deep Neural Networks for Comprehensive Environmental Noise Estimation in European Cities
Time-to-event modeling of subreddits transitions to r/SuicideWatch
A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit
Estimating the Odometry Error of a Mobile Robot by Neural Networks
Robust Model Selection Using Cross Validation: A Simple Iterative Technique for Developing Robust Gene Signatures in Biomedical Genomics Applications
EEG-based Secondary Task Detection in a Multiple Objective Operational Environment
Knowledge acquisition through machine learning: minimising expert's effort
Predicting Congressional Votes Based on Campaign Finance Data
Building Bridges of Knowledge: Innovating Education with Automated Crossword Generation
Estimating Software Effort Using an ANN Model Based on Use Case Points
Kernelization of Tensor Discriminant Analysis with Application to Image Recognition
CausalConvLSTM: Semi-Supervised Log Anomaly Detection Through Sequence Modeling
Improving Neural Sequence Labelling Using Additional Linguistic Information
A Minimum Frame Error Criterion for Hidden Markov Model Training
Uncertainty Prediction for Facial Action Units Recognition under Degraded Conditions
Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms
Modeling and Predicting Online Learning Activities of Students: An HMM-LSTM based Hybrid Solution
Semi-Supervised Learning and Focal Masking for Vessel Segmentation in X-Ray Coronary Angiography
Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning
HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks
Inferring Time when People Visit a Location Using Social Network Data
Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration
Gradient Hyper-parameter Optimization for Manifold Regularization
How Dense Autoencoders can still Achieve the State-of-the-art in Time-Series Anomaly Detection
Investigating Eating Behaviours Using Topic Models
Automatic Sleep Stage Classification with Optimized Selection of EEG Channels
An Investigation of Large Language Models for Real-World Hate Speech Detection
Recognition of Segmented Online Arabic Handwritten Characters of the ADAB Database
Automatic defect classification using boosting
Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images
Decentralized and Partially Decentralized Reinforcement Learning for Distributed Combinatorial Optimization Problems
Relevancy Ranking of User Recommendations of Services Based on Browsing Patterns
Error Detection of Ocean Depth Series Data with Area Partitioning and Using Sliding Window
AIRABIC: Arabic Dataset for Performance Evaluation of AI Detectors
Learning Mobile Application Usage - A Deep Learning Approach
Managing imprecise map and image data in a possibility theory framework
Progressive Transmission and Inference of Deep Learning Models
Recognizing Human Activities from Raw Accelerometer Data Using Deep Neural Networks
Quantifying Challenges in the Application of Graph Representation Learning
Normalized Linear Transform for Cross-Platform Microarray Data Integration
Predicting Local Failure in Lung Cancer Using Bayesian Networks
YOLO-SCSA: Enhanced YOLOv8 with Spatially Coordinated Shuffling Attention Mechanisms for Skin Cancer Detection
Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows
A Printing Workflow Recommendation Tool--Exploiting Correlations between Highly Sparse Case Logs
Car Detection Based Algorithm For Automatic Parking Space Detection
Prune and Replace NAS
Movie Recommendation Using Unrated Data
Out-of-Distribution Detection for Contrastive Models Using Angular Distance Measures
Detecting Smooth Cluster Changes in Evolving Graphs
A Comparative Study of Selected Classification Accuracy in User Profiling
Depression Diagnosis Algorithm Based on R2U-Net Using Facial Images
Towards Intelligent Reading through Multimodal and Contextualized Word LookUp
Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks
Local and Global Data Spread Based Index for Determining Number of Clusters in a Dataset
Microarray Classification Using Sub-space Grids
Enhancing Siamese Visual Tracking With Background Relations
Predicting Algorithm Accuracy with a Small Set of Effective Meta-Features
Unsupervised Anomaly Based Botnet Detection in IoT Networks
HeteroGenius: An Improvised 'Intelligence' in Heterogeneous Graph Transformers
Parallel algorithm for control chart pattern recognition
Interactive Evaluation of Classifiers Under Limited Resources
Learning Time-Optimal Control of Gantry Cranes
Macro-Optimization of email Recommendation Response Rates Harnessing Individual Activity Levels and Group Affinity Trends
Cost-effective Models for Detecting Depression from Speech
A Multiscale Spectral Method for Learning Number of Clusters
A Novel Multimodal Situated Spoken Dialog System for Human Robot Communication in Emergency Evacuation
Hierarchical Temporal Memories Prediction Performance and Robustness to Faults on Multivariate Time Series
GRAM: Gradient Rescaling Attention Model for Data Uncertainty Estimation in Single Image Super Resolution
Efficient Prediction of Dynamic Tariff in Smart Grid Using CGP Evolved Artificial Neural Networks
Performance Comparison of Algorithms for Movie Rating Estimation
TransNet: A Transfer Learning-Based Network for Human Action Recognition
Evaluation of Approaches for Dimensionality Reduction Applied with Naive Bayes Anti-Spam Filters
What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened
Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple in-Batch Negatives Loss
Diagnosis Using Incomplete Model in Fuzzy Discrete Event System: Application to Crisis Management
Microarray Classification from Several Two-Gene Expression Comparisons
Machine Cognition of Violence in Videos Using Novel Outlier-Resistant VLAD
A clustering-based biased Monte Carlo approach to protein titration curve prediction
Adaptive Regularized ELM and Improved VMD Method for Multi-step ahead Electricity Price Forecasting
Multi-agent Reinforcement Learning Approach for Scheduling Cluster Tools with Condition Based Chamber Cleaning Operations
Detecting Salmon Lice in Seawater Using Synthetic Datasets
DeepECO: Applying Deep Learning for Occupancy Detection from Energy Consumption Data
Multi-label Classification of Anemia Patients
Feature Fusion for Denoising and Sparse Autoencoders: Application to Neuroimaging Data
WMCD: A Situation Aware Multicast Congestion Detection Scheme Using Support Vector Machines in MANETs
A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems
Understanding Linguistic Variations in Neutral and Strongly Opinionated Reviews
Statistical Learning via Manifold Learning
An Artificial Neural Networks Based Software System for Improved Learning Experience
Tuberculosis Bacilli Identification: A Novel Feature Extraction Approach via Statistical Shape and Color Models
External Validation of a Bayesian Neural Network Model in Survival Analysis
Leveraging Semi-Supervised Learning for Fairness using Neural Networks
Mapper Based Classifier
AlphaRA: An AlphaZero based approach to Redundancy Analysis
Shape Recognition and Retrieval Using String of Symbols
Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification
Feature Transformation and Model Design Using Minimum Classification Error
Performance Comparison of Major Classical Face Recognition Techniques
Graph Polynomial Convolution Models for Node Classification of Non-Homophilous Graphs
Improving Fashion Attribute Classification Accuracy with Limited Labeled Data Using Transfer Learning
An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection
A Comparison of Graph Embedding Methods for Vertex Nomination
PrunedCaps: A Case For Primary Capsules Discrimination
Age-Group Classification of Facial Images
Application of Structural Case-Based Reasoning to Activity Recognition in Smart Home Environments
Automatic Optimization of Localized Kernel Density Estimation for Hotspot Policing
Gene Network Learning Using Regulated Dynamic Bayesian Network Methods
Exploring the Faithfulness of Synthetic Data by Generative Models
Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets
Adaptive OpenMP Task Scheduling Using Runtime APIs and Machine Learning
Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference
VDGraph2Vec: Vulnerability Detection in Assembly Code using Message Passing Neural Networks
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching
Utilising Evolutionary Algorithms to Design Granular Materials for Industrial Applications
Leaf Tar Spot Detection Using RGB Images
Empirical Evaluation of Profile Characteristics for Gender Classification on Twitter
Denoising Auto-Encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation
Automated Stenosis Classification of Carotid Artery Sonography using Deep Neural Networks
RAIN: data clustering using randomized interactions between data points
Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection
Identification and validation of a radiomic signature for predicting survival outcomes in non-small-cell lung cancer treated with radiation therapy
Power Iteration Denoising
Deep Multi-Agent Reinforcement Learning for Real-World Signalized Traffic Corridor Control
Transfer Learning for Large Scale Data Using Subspace Alignment
Supernova Recognition Using Support Vector Machines
Fine-Grained Opinion Extraction with Markov Logic Networks
Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps
Evolutionary Content Pre-fetching in Mobile Networks
Learning Deep Neural Networks for High Dimensional Output Problems
Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player Agents
Towards Machine Learning Explainability in Text Classification for Fake News Detection
Information of Binding Sites Improves Prediction of Protein-Protein Interaction
A Parallel Algorithm for Predicting the Secondary Structure of Polycistronic MicroRNAs
A Two-Step Dynamic Inventory Forecasting Model for Large Manufacturing
Exploring Testing Methods for Large Language Models
3D Bayesian Tracking with a Single Imager for Real-Time Image Guidance in Prostate Radiation Therapy
Online Causal Structure Learning in the Presence of Latent Variables
Enhanced Distribution Matching for Multiclass Quantification
CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior
Sentence Embedding with Named Entities for Conversation Fingerprint
Online Recovery of Missing Values in Vital Signs Data Streams Using Low-Rank Matrix Completion
Time Series Classification to Improve Poultry Welfare
ELM-Based Intelligent Resource Selection for Grid Scheduling
Learning the Dynamic Process of Inhibition and Task Switching in Robotics Cognitive Control
An Empirical Comparison of Spectral Learning Methods for Classification
Weak Supervision for Question and Answering Sentiment Analysis
Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research
Decoding Ethiopian Abodes: Towards Classifying Buildings by Occupancy Type Using Footprint Morphology
Optimizing Attack Surface and Configuration Diversity Using Multi-objective Reinforcement Learning
Animal Cognition, Epistemic Fluency, Social Networks and the Scientific Habit of Mind
Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters
W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information
Deep Multiple Kernel Learning
11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 2
Financial Time Series Forecasting Enriched with Textual Information
An Ordinal Data Method for the Classification with Reject Option
Using Transformers for Emotion Recognition in Bangla Text: A Comparative Study of MultiBERT and BanglaBERT with Data Augmentation
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning
Chromatogram Alignment Algorithm Based on Deep Neural Network and an Application in Bio-aerosol Detection
Detecting Compromised Implicit Association Test Results Using Supervised Learning
Detecting Erosion Events in Earth Dam and Levee Passive Seismic Data with Clustering
Empathetic Reflective Response Generation: Towards Conversation Models for Online Mental Health Support
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis
Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model
An Efficient Heuristic for Discovering Multiple Ill-Defined Attributes in Datasets