yusuke1997/dblp-id-title huggingface dataset:
MultiLangMemeNet: A Unified Multimodal Approach for Cross-Lingual Meme Sentiment Analysis
Predicting Psychosis Using the Experience Sampling Method with Mobile Apps
Performance Improvement in Time Series Prediction through PECNET Framework
Recurrent Dilated DenseNets for a Time-Series Segmentation Task
Combining Parameter Space Search and Meta-learning for Data-Dependent Computational Agent Recommendation
A Study of Smoothing Algorithms for Item Categorization on e-Commerce Sites
Novel Representation Learning Technique Using Graphs for Performance Analytics
Parameter Continuation Methods for the Optimization of Deep Neural Networks
Cox's Proportional Hazards Model with Lp Penalty for Biomarker Identification and Survival Prediction
Multi-Spheres Anomaly Detection with Hyperspherical Layers
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories
Modeling approaches for Silent Attrition prediction in Payment networks
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary
A Timing-Based Classification Method for Human Voice in Opera Recordings
Hashtags: an essential aspect of topic modeling of city events through social media
Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery
Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction
Semantic Clone Detection Using Machine Learning
Active Information Retrieval for Linking Twitter Posts with Political Debates
Dynamic Knowledge Management Procedure Using Fuzzy Clustering
An Online Incremental Clustering Framework for Real-Time Stream Analytics
SAFARI: Self-regulAted Clustered FederAted Learning in a HeteRogeneous EnvIronment
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
On Learning Probabilistic Partial Lexicographic Preference Trees
Speaker Adaptation Using Speaker Similarity Score on DNN Features
Harnessing Machine Learning and Stock Market Techniques for Signal Detection in Underwater Sensing Technologies
RF Transmitter Fingerprinting Exploiting Spatio-Temporal Properties in Raw Signal Data
A Robust Affine Invariant Feature Matching Approach
User-Centered Development of a Pedestrian Assistance System Using End-to-End Learning
Occupancy Detection in Smart Housing Using Both Aggregated and Appliance-Specific Power Consumption Data
A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements
Employing Markov Networks on Curriculum Graphs to Predict Student Performance
A Statistical Associative Classifier with Automatic Estimation of Parameters on Computer Aided Diagnosis
Reinforcement Learning for Production Ramp-Up: A Q-Batch Learning Approach
The Potential of Vision-Language Models for Content Moderation of Children's Videos
Orbit Propagation from Historical Data using Physics-informed Neural ODEs
Energy-Efficient GPU-Intensive Workload Scheduling for Data Centers
Trademark Design Code Identification Using Deep Neural Networks
Lecture Vdeo Indexing Using Boosted Margin Maximizing Neural Networks
A Review on Machine Learning and Data Mining Techniques for Residential Energy Smart Management
Generalized Sequence Signatures through Symbolic Clustering
Predicting "Essential" Genes across Microbial Genomes: A Machine Learning Approach
Predictive Models with Resampling: A Comparative Study of Machine Learning Algorithms and their Performances on Handling Imbalanced Datasets
Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds
Cost-sensitive Hierarchical Clustering for Dynamic Classifier Selection
CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS
Frequent Substring-Based Sequence Classification with an Ensemble of Support Vector Machines Trained Using Reduced Amino Acid Alphabets
Dejà vu: Recurrent Neural Networks for health wearables data forecast
Using Multi-task and Transfer Learning to Solve Working Memory Tasks
Stochastic Primal-Dual Method on Riemannian Manifolds of Bounded Sectional Curvature
California Wildfire Prediction using Machine Learning
Improving Web Application Firewalls through Anomaly Detection
Risk-Based Dynamic Pricing via Failure Prediction
A Parallel K-Medoids Algorithm for Clustering based on MapReduce
EvilELF: Evasion Attacks on Deep-Learning Malware Detection over ELF Files
An Attention-Based Air Quality Forecasting Method
Increasing Grid Flexibility Through Improved Electricity Demand Prediction in Nicaragua
Introducing Subspace Grids to Recognise Patterns in Multidimensinal Data
Cross-Domain Facial Expression Recognition Using Supervised Kernel Mean Matching
Improved Wind Power Forecasting Using Combination Methods
Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs
Hypergraph Link Prediction: Learning Drug Interaction Networks Embeddings
Interaction Network Representations for Human Behavior Prediction
Two Efficient Training Strategies for DyDaSL: A Dynamic Data Stream Learner Framework with Semi-Supervised Learning
Active Learning of Markov Decision Processes for System Verification
Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data
Selective Sampling Designs to Improve the Performance of Classification Methods
Applying Learning by Tutelage and Multimodal Interface to Sociable Robots
Thyme: Improving Smartphone Prompt Timing Through Activity Awareness
Efficient Implementation of Strong Negative Association Rules
Identifying Household Fingerprint Using Intelligent Passive Monitoring for People Living with Dementia
Real-Time Cattle Interaction Recognition via Triple-stream Network
Multi-class segmentation of Diabetic Retinopathy lesions: effects of metrics, improvements and loss
A Fast and Light Weight Deep Convolution Neural Network Model for Cancer Disease Identification in Human Lung(s)
MarioDAgger: A Time and Space Efficient Autonomous Driver
Development of a Deep-Learning-Based Method for Breast Ultrasound Image Segmentation
Terrain Classification for a Quadruped Robot
APL: Adaptive Parameter Learning for Image Dehazing
Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set
A Machine Learning Approach to Support Neuromorphic Device Design and Microfabrication
Fine Object Detection in Automated Solar Panel Layout Generation
Fuzzy Echo State Neural Network with Differential Evolution Framework for Time Series Forecasting
Multi-Modal Machine Learning for Navigating Noisy Objectives of Automotive Manufacturing Quality Inspection
Biological Plausibility in Artificial Neural Networks: An Improvement on Earlier Models
Artificial Neural Networks Prognostic Evaluation of Post-Surgery Complications in Patients Underwent to Coronary Artery Bypass Graft Surgery
On the transferability of adversarial examples between convex and 01 loss models
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
Artificial Neural Networks Controller Algorithm Developed for a Brushless DC Motor
Detecting Web Robots Using Resource Request Patterns
Classifying Eligibility Criteria in Clinical Trials Using Active Deep Learning
Statistical Face Recognition via a k-Means Iterative Algorithm
Classifying Educational Lectures in Low-Resource Languages
Comparing machine learning classification schemes - a GIS approach
Incorporating prior knowledge into Q-learning for drug delivery individualization
Toward a Sequential Approach to Pipelined Image Recognition
Language-Agnostic Syllabification with Neural Sequence Labeling
Learning in Biomedicine and Bioinformatics Using Affinity Propagation
Text Mining from Biomedical Literature Using Term Extraction and Associations Rule Mining
An adaptive approach for assisting in the recovery from spatial disorientation
Wave-Based Neural Network with Attention Mechanism for Damage Localization in Materials
Multi-view Clustering of Visual Words Using Canonical Correlation Analysis for Human Action Recognition
HWBI : Health and Well-Being Index. A Neural Network Based Index Which Quantifies the Cumulative Impact of Lifestyle Habits on Personal Health and Well-Being and Demonstration of Its Application in Managing the Risk of Diabetes
Generalized Adversarial Distances to Efficiently Discover Classifier Errors
Attribute Assisted Interpretation Confidence Classification Using Machine Learning
Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service
Using Latent Variable Autoregression to Monitor the Health of Individuals with Congestive Heart Failure
Maximum Likelihood Logistic Regression Using Metaheuristics
Finding Answer Passages with Rank Optimizing Decision Trees
Extending Soft Sets towards the Optimality of Decision Based on Multiple Decisions over the Same Data
A Comparison of Supervised Approaches for Process Pattern Recognition in Analog Semiconductor Wafer Test Data
Deep Learning-Based Method for an Assessment of Road Traffic Pollutant Estimation from Predicted Driving Behaviors
Extending Rapid Class Augmentation to a YOLOv3 Object Detection Architecture
Depression Detection Using Atlas from fMRI Images
Automated Analysis for Detecting Beams in Laser Wakefield Simulations
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training
Can We Predict Consequences of Cyber Attacks?
CQ-VAE: Coordinate Quantized VAE for Uncertainty Estimation with Application to Disk Shape Analysis from Lumbar Spine MRI Images
Multi-scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric
Transfer Learning model for Social Emotion Prediction using Writers Emotions in Comments
Nonlinear Metric Learning for Semi-Supervised Learning via Coherent Point Drifting
Using Genetic Algorithm Based Variable Selection to Improve Neural Network Models for Real-World Systems
Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data
Impact of Transfer Learning on Transformers Networks for Prostate Image Segmentation
A Multi-label, Dual-Output Deep Neural Network for Automated Bug Triaging
RPC: An Efficient Classifier Ensemble Using Random Projections
ADHD and ASD Classification Based on Emotion Recognition Data
Trade-off between reconstruction loss and feature alignment for domain generalization
Statistical Decision Making for Authentication and Intrusion Detection
Imbalanced Toxic Comments Classification Using Data Augmentation and Deep Learning
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks
The Theory of Probabilistic Hierarchical Supervised Ensemble Learning
A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data
A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data
Aircraft Numerical "Twin": A Time Series Regression Competition
SwinFVC: A Swin Flow Video Colorization Example-Based Method
Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification
Error-Driven Adaptive, Virtual Machine Model-Based Control with High Availability Platform
AuTGeLy: Automatic Title Generator based on Song Lyrics Extractions
Convolutional Neural Networks for Automatic Threat Detection in Security X-Ray Images
Reinforcement Learning Based Architectures for Dynamic Generation of Smart Home Services
Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models
An Exploratory Study of Oral and Dental Health in Canada
Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests
Predicting New Friendships in Social Networks
Scalable and Locally Applicable Measures of Treatment Variation That Use Hospital Billing Data
Swef-UNet: Toward an Efficient Pure Transformer-Based Medical Image Segmentation
Acute Kidney Injury: Predicting 30-Day Readmissions
Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
Multi-UCAV Air Combat in Short-Range Maneuver Strategy Generation using Reinforcement Learning and Curriculum Learning
Single-Net Continual Learning with Progressive Segmented Training
Dynamic Analysis of Executables to Detect and Characterize Malware
Tsallis Entropy Based Labelling
A Hybrid Genetic-Programming Swarm-Optimisation Approach for Examining the Nature and Stability of High Frequency Trading Strategies
Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote Regions
Using Spectral Features to Improve Sentiment Analysis
Districts by Demographics: Predicting U.S. House of Representative Elections using Machine Learning and Demographic Data
An Iris Recognition Approach based on Fuzzy Support Vector Machine
A Data-driven Affective Text Classification Analysis
Density-Based Data Pruning Method for Deep Reinforcement Learning
Automatic Dishware Inspection: Applications and Comparisons of Two New Methods
Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews
Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection
Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR
Towards Affect Recognition through Interactions with Learning Materials
MetaPrep: Data preparation pipelines recommendation via meta-learning
A Cluster Analysis of Challenging Behaviors in Autism Spectrum Disorder
Visual interface for online watching of frequent itemset generation in Apriori and Eclat
Deep Ensembles for Imbalanced Classification
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis
Class-dependant resampling for medical applications
BEMI Bicluster Ensemble Using Mutual Information
Bug Report Classification Using LSTM Architecture for More Accurate Software Defect Locating
Protein Conformation Motion Modeling Using Sep-CMA-ES
Reducing complexity of rule based models via meta mining
HPT-RL: Calibrating Power System Models based on Hierarchical Parameter Tuning and Reinforcement Learning
Are Neural Fields Suitable for Vector Quantization?
Creating an SVM to play strong poker
Understanding Cohesion in Writings and Speech of Schizophrenia Patients
Multi-label Classification using Self-Supervised Learning: Addressing Class Inter-Dependency and Data Imbalance
Unsupervised Anomaly Detection in Transactional Data
The SLS-Generated Soft Robotic Hand - An Integrated Approach Using Additive Manufacturing and Reinforcement Learning
Incremental Compressive Pattern Classification
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease
A Vision Transformer Architecture for Open Set Recognition
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes
Intelligent Approach for Identifying Political Views over Social Networks
KAN-Attn GAN: Map Generation with Kolmogorov-Arnold Networks and Attention-Based Queries Selection
Tri-level Optimization for Gradient-based Neural Architecture Search
Towards Graph-Based Semi-Supervised Learning on Audio Embeddings for Label Classification
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents *
AI privacy preserving robots working in a smart sensor environment
Deep Learning for Morphological Arrhythmia Classification in Encoded ECG Signal
Modeling a Classifier for Solving Safety-Critical Binary Classification Tasks
An Automatic Recognition for the Auditory Brainstem Response Waveform
Coarse Annotation Refinement for Segmentation of Dot-Matrix Batchcodes
Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images
Learning to evaluate conditional partial plans
Path Homologies of Deep Feedforward Networks
Development of an Intelligent Decision Support System for Determining the Efficiency of Shunt Active Power Filter
Turn Down the Noise: Perceptually Constrained Attacks for Multi-Label Audio Classification
Granular Computing with Compatibility Based Intuitionistic Fuzzy Rough Sets
Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML
Evolutionary Neural Architecture Search for Traffic Forecasting
Transfer Learning of Air Combat Behavior
An application of a rule-based model in software quality classification
Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach
Active Batch Selection for Fuzzy Classification in Facial Expression Recognition
Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks
Multiscale Geometric Data Analysis via Laplacian Eigenvector Cascading
PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-security Concepts
Conditional Score Matching for Image to Image Regression
Combining Corpus-Based Features for Selecting Best Natural Language Sentences
Multi-period Prediction of Solar Radiation Using ARMA and ARIMA Models
Exploring Scale-Induced Feature Hierarchies in Natural Images
VISAGE: A Support Vector Machine Approach to Group Dynamic Analysis
Accelerated Deep Learning on HPCC Systems
Balancing Public Cycle Sharing Schemes Using Independent Learners
Support Vector Machines on GPU with Sparse Matrix Format
Efficient Prequential AUC-PR Computation
A Novel OCR System for Calculating Handwritten Persian Arithmetic Expressions
Locally Linear Minimum Spanning Trees for Manifold Learning
Variational Inference via Rényi Upper-Lower Bound Optimization
Sequence Segmentation via Clustering of Subsequences
A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes
Application of Inductive Confidence Machine to ICMLA Competition Data
An Automatic Extraction Tool for Ethnic Vietnamese Thai Dances Concepts
Centralized Multi-Agent Proximal Policy Optimization with Attention
Knowledge-Supervised Learning by Co-clustering Based Approach
Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting
A Deep Learning based Hand Gesture Recognition on a Low-power Microcontroller using IMU Sensors
A Novel ECG Signal Denoising Filter Selection Algorithm Based on Conventional Neural Networks
Detecting Credit Card Fraud Using Periodic Features
Effective dynamic sample selection algorithm
Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification
Relevance Vector Machines with Uncertainty Measure for Seismic Bayesian Compressive Sensing and Survey Design
DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory
A Next-Generation Secure Cloud-Based Deep Learning License Plate Recognition for Smart Cities
Facility Locations Utility for Uncovering Classifier Overconfidence
LSTM Based Bearing Fault Diagnosis of Electrical Machines using Motor Current Signal
Linear Discriminant Analysis for Large-Scale Data: Application on Text and Image Data
An Analysis of Machine Learning Methods for Spam Host Detection
Hybrid Approaches for Augmentation of Translation Tables for Indian Languages
Training an Emergency-Response Image Classifier on Signal Data
Dominant Audio Descriptors for Audio Classification and Retrieval
Optimizing Multi-Stage Hydraulic Fracturing Treatments for Economical Production in Permian Basin Using Machine Learning
Comparison of Classification Techniques used in Machine Learning as Applied on Vocational Guidance Data
Large-Scale Gender/Age Prediction of Tumblr Users
Detection of Exponential Regimes from Time Series for Characterizing the Thermal Dynamics of Buildings
Improving Multi-modal Optimization Restart Strategy Through Multi-armed Bandit
Adaptive Profit Sharing Reinforcement Learning Method for Dynamic Environment
Improving the Transcription of Academic Lectures for Information Retrieval
Efficient Deep Learning of Nonlinear Fiber-Optic Communications Using a Convolutional Recurrent Neural Network
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder
Regression Databases: Probabilistic Querying Using Sparse Learning Sets
BERT-Based Sentiment Forensics Analysis for Intrusion Detection
Large-Scale Curb Extraction Based on 3D Deep Learning and Iterative Refinement Post-Processing
Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors
The Impact of Racial Disparities on Prenatal Care Adequacy: An Algorithmic Fairness Perspective
Strength Training: A Fitness Application for Indoor Based Exercise Recognition and Comfort Analysis
Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer
Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model
A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game Data
A New Performance Measure for Class Imbalance Learning. Application to Bioinformatics Problems
Threshold-free Anomaly Detection for Streaming Time Series through Deep Learning
Detecting driver inattention in the absence of driver monitoring sensors
Machine Learning Challenges in Chemoinformatics and Drug Screening and Design
A Genetic Algorithm that Incorporates an Adaptive Mutation Based on an Evolutionary Model
On the Evaluation of Text Processing in Text Categorization
Evaluating Unsupervised Anomaly Detection Models to Detect Faults in Heavy Haul Railway Operations
14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015
L1 vs. L2 Regularization in Text Classification when Learning from Labeled Features
Mining Biomedical Ontologies and Data Using RDF Hypergraphs
Coordination of PV Smart Inverters Using Deep Reinforcement Learning for Grid Voltage Regulation
One-Class versus Binary Classification: Which and When?
Learning a knowledge base of ontological concepts for high-level scene interpretation
Improving Robustness of Convolutional Networks Through Sleep-Like Replay
Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction
On Classifying Facial Races with Partial Occlusions and Pose Variations
Virtual-Coordinate Based Sampling and Embedding for Machine Learning with Graph Data
Time Series Prediction Based on Online Learning
Infrared Colorization Using Deep Convolutional Neural Networks
Toxic Comment Classification For French Online Comments
Direct-to-Patient Survey for Diagnosis of Benign Paroxysmal Positional Vertigo
Client-Side Monitoring of HTTP Clusters Using Machine Learning Techniques
Understading Image Restoration Convolutional Neural Networks with Network Inversion
Estimating the Effect of General Health Checkup Using Uncertainty Aware Attention of Deep Instrument Variable 2-Stage Network
A Notion of Harmonic Clustering in Simplicial Complexes
Random Forests on Ubiquitous Data for Heart Failure 30-Day Readmissions Prediction
Wearable Motion Sensor Based Analysis of Swing Sports
pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods
Exposing Inpainting Forgery in JPEG Images under Recompression Attacks
Implementation of a Smartphone as a Wearable and Wireless Gyroscope Platform for Machine Learning Classification of Hemiplegic Gait Through a Multilayer Perceptron Neural Network
Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings
Rank Learning by Ordinal Gerrymandering
Selecting Examples in Manifold Reduced Feature Space for Active Learning
Learning Viewpoint Planning in Active Recognition on a Small Sampling Budget: A Kriging Approach
Domain Mixture: An Overlooked Scenario in Domain Adaptation
Sat2rain: Multiple Satellite Images to Rainfall Amounts Conversion By Improved GAN
Deep Learning Anomaly Detection as Support Fraud Investigation in Brazilian Exports and Anti-Money Laundering
Ranking Electrical Feeders of the New York Power Grid
Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach
Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT