yusuke1997/dblp-id-title huggingface dataset:
An Enhanced Learning Voting-Based Framework for Time-Efficient DDoS Detection with Dataset Consistency in SDN-IoT Enabled Smart Homes
Transformation of Human Labour from Stone Age to Information Age
Improving the Performance and Reliability of Mobile Commerce in Developing Countries
On Cost-Effective Inter-LMA Domain Handover Scheme in NEMO-PMIPv6 Networks
Hybrid Distributed Computing System Based on Canvas and Dynamo
Towards a Cash-on-Delivery System Based on Blockchain Technology for Developing Countries: A Case Study in Vietnam
A Framework for Investigating GDPR Compliance Through the Lens of Security
Access Control Approach in Development of Mobile Applications
Virtual Career Advisor System
A Comparative Study on Distal Radius Fracture Detection: YOLOv8 and YOLOv11 Versus Faster R-CNN
WhatsApp, an Educational Computer System?
Securing Business Data on Android Smartphones
Strategies and Techniques for Relay Node Placement in Multi-hop Wireless Networks
Analyzing the Impact of DNN Hardware Accelerators-Oriented Compression Techniques on General-Purpose Low-End Boards
Analysis of B2C Mobile Application Characteristics and Quality Factors Based on ISO 25010 Quality Model
Mobile Web and Intelligent Information Systems - 14th International Conference, MobiWIS 2017, Prague, Czech Republic, August 21-23, 2017, Proceedings
A Review: Sensors Used in Tool Wear Monitoring and Prediction
Bridging IT and Business Through Low-Code: Organizational Impact and Social Alignment in Norwegian Enterprises
RSITS: Road Safety Intelligent Transport System in Deep Federated Learning Assisted Fog Cloud Networks
Measuring and Evaluation of the Results of UI-Re-engineering in the Nursing Field
Real-Time Anomaly Detection in Industry 4.0 Using Asset Administration Shell
From Virtual Influencer to Self‑Sustaining Brand: Navigating the Transition to Creator Marketing
Feel the World: A Mobile Framework for Participatory Sensing
MITRE ATT and CK Threat Modelling Extensions for Mobile Threats
A Framework for Transactional Service Selection Based on Crowdsourcing
Harnessing the Digital Revolution: A Comprehensive Review of mHealth Applications for Remote Monitoring in Transforming Healthcare Delivery
Maximizing Signal to Interference Noise Ratio for Massive MIMO: A Stochastic Neurodynamic Approach
Software Quality Testing Model for Mobile Application
Online Change Detection for Energy-Efficient Mobile Crowdsensing
Exploring Human Artificial Intelligence Using the Knowledge Behavior Gap Model
Deferred Retrieval of IoT Information Using QLM Messaging Interface
Impact of Individual Differences on the Use of Mobile Phones and Applications
Medical Test Results Management System Based on Blockchain, Smart Contracts, and NFT Technologies
Gamified DAOs as Blockchain-Based Catalysts for Prosocial and Environmentally Oriented Cities
Granular Traceability Between Requirements and Test Cases for Safety-Critical Software Systems
Generation of Multi-Device Adaptive MultiModal Web Applications
Privacy-Aware Business Processes Modeling Notation (PrvBPMN) in the Context of Distributed Mobile Applications
Realistic Offloading Scheme for Mobile Cloud Computing
Towards Model-Driven Business Apps for Wearables
A Framework for Secure and Trustworthy Data Management in Supply Chain
Visual Moving Objects Tracking Using Shape Detectors and Object Models
Mobile Web and Intelligent Information Systems - 12th International Conference, MobiWis 2015, Rome, Italy, August 24-26, 2015, Proceedings
Quadratic p-Median Formulations with Connectivity Costs Between Facilities
A Novel Approach to Enhancing Security and Performance in Mobile Cloud Computing Using SDN, NFV, and CASB
Adopting SOA in Public Service Provision
Towards QoS in Internet of Things for Delay Sensitive Information
Optimizing QoS-Based Web Services Composition by Using Quantum Inspired Cuckoo Search Algorithm
Stochastic Resource Allocation for Uplink Wireless Multi-cell OFDMA Networks
A Domain-Aware Federated Learning Study for CNC Tool Wear Estimation
Neural Network for Public Transport Mode Inference on Mobile Devices
Loop Speed Trap Data Collection Method for an Accurate Short-Term Traffic Flow Forecasting
Analysis of Technical Devices Relevance for Remote Readings of Electric Meters
Onde Chiare: A Mobile Application to Mitigate the Risk Perception from Electromagnetic Fields
Smart Automatic Control of GSM Alarm
Principles of Usability in Human-Computer Interaction Driven by an Evaluation Framework of User Actions
Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning
TrustPos Model: Trusting in Mobile Users' Location
Mobile AR Solution for Deaf People - Correlation Between Face Detection and Speech Recognition
Towards Intelligent Migration of User Interfaces
Investigating the Usability of Government Applications for Elderlies in the Kingdom of Saudi Arabia
Scalable Extensible Secured and Safe Smart Gateway Platform Solution for Smart Grid/ Energy and IoT
Online Application for Bitcoin Price Visualization
Review of Deep Learning Models for Remote Healthcare
Smart Solution in Social Relationships Graphs
A Systematical Scheme of Composite Analysis on Big Sensor-Data of Engineering Inspection
Urban Data Platforms as Added-Value Systems for Citizens
Analysis of the Use of System Resources for Cloud Data Security
Fuzzy Data Deduplication at Edge Nodes in Connected Environments
New Formulations for an Optimal Connectivity Approach for Mobile Ad-hoc Networks
Students' Perspectives on Utility of Mobile Applications in Higher Education
Lessons Learned: A Usability Study of an Urban Data Platform for Citizens
Google Glass Used as Assistive Technology Its Utilization for Blind and Visually Impaired People
Infrastructure Authentication, Authorization and Accounting Solutions for an OpenStack Platform
Track & Trace System with Serialization Prototyping Methodology for Pharmaceutical Industry in EU
Face-Based Difficulty Adjustment for the Game Five in a Row
A Two-Leveled Semantic Web Service Description of the Pervasive Information System
Evaluating Third-Party Involvement in Android Apps: Norms and Anomalies in Usage Patterns
Semi-Supervised Deep Learning System for Epileptic Seizures Onset Prediction
Use Online Dictionary Learning to Get Parts-Based Decomposition of Noisy Data
Learning to Track Multi-target Online by Boosting and Scene Layout
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems
Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives
An Investigation of How Neural Networks Learn from the Experiences of Peers Through Periodic Weight Averaging
Federated Learning Aggregation: New Robust Algorithms with Guarantees
Squeeze-and-Remember Block
Approximate Bisimulation Relation Restoration for Neural Networks Based On Knowledge Distillation
Deep Diamond Re-ID
Dynamic Adjustment of Concurrent Neural Networks within Limited Power Thermal Constraints in Autonomous Driving
Enhanced recursive feature elimination
Ensembles of Neural Networks for Robust Reinforcement Learning
Evolving Adaptive Traffic Signal Controllers for a Real Scenario Using Genetic Programming with an Epigenetic Mechanism
A tutorial search engine based on Bayesian learning
Systematical Randomness Assignment for the Level of Manipulation in Text Augmentation
A New Method to Generate Virtual Samples for Solving Small Sample Set Problems
Automated Shared Phenotype Discovery in Undiagnosed Cohorts for Rare Disease Research
A Fast Feature Selection Model for Online Handwriting Symbol Recognition
Investigating Transfer Learners for Robustness to Domain Class Imbalance
Predicting Waiting Times in Radiation Oncology Using Machine Learning
Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers
Application of Decision Trees for Detection of Student Dropout Profiles
Relational Synthesis of Text and Numeric Data for Anomaly Detection on Computing System Logs
Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders
AReID: Rethinking Re-Identification and Occlusions for Multi-Object Tracking
Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-Temporal Real-Time Fire Detection
On Activity Identification Pipelines for a Low-Accuracy EEG Device
Use of Auxiliary Classifier Generative Adversarial Network in Touchstroke Authentication
Augmentation-Based Approaches for Overcoming Low Visibility in Street Object Detection
Comparison of semantic and single term similarity measures for clustering turkish documents
Statistical and Biological Validation Methods in Cluster Analysis of Gene Expression
Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption
The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010
On-Line Adaptation of Exploration in the One-Armed Bandit with Covariates Problem
Multimodal Fusion Networks for Workload Modeling
Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlation
Temporal Debiasing using Adversarial Loss based GNN architecture for Crypto Fraud Detection
Horizon Detection Using Machine Learning Techniques
Continuous Multi-modal Emotion Prediction in Video based on Recurrent Neural Network Variants with Attention
Segmenting brain tumors using alignment-based features
Exploring Structural Features in Predicting Social Network Evolution
Probabilistic Approach for Recommendation Systems
Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement Using Electronic Health Records
A Bayesian Nonparametric Model for Joint Relation Integration and Domain Clustering
Learning American English Accents Using Ensemble Learning with GMMs
Critical State Detection for Adversarial Attacks in Deep Reinforcement Learning
Benchmarking Communicative Reinforcement Learning Frameworks on Multi-Robot Cooperative Tasks
Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data
Security Perspective of Biometric Recognition and Machine Learning Techniques
Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events
Sparse Super-Regular Networks
Concept Drift Awareness in Twitter Streams
Decision Tree Learning for Fraud Detection in Consumer Energy Consumption
Low-Rank Sparse Tensor Approximations for Large High-Resolution Videos
On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification
A Study of the Use of Complexity Measures in the Similarity Search Process Adopted by kNN Algorithm for Time Series Prediction
Recommendation Systems for Markets with Two Sided Preferences
Market Mechanism Designs with Heterogeneous Trading Agents
An Empirical Evaluation of Autoencoding-Based Location Spoofing Detection
The Semantic Shapes of Popular Music Lyrics: Graph-Based Representation, Analysis, and Interpretation of Popular Music Lyrics in Semantic Natural Language Embedding Space
Condition Monitoring for Power Converters via Deep One-Class Classification
Multiple Sources Classification of Gene Position on Chromosomes Using Statistical Significance of Individual Classification Results
A Review of Machine Learning Solutions to Denial-of-Services Attacks in Wireless Sensor Networks
On Contrastive Learning for Domain Generalization
Denial-of Service (DoS) Attack Detection Using Edge Machine Learning
Text Classification Using Hierarchical Sparse Representation Classifiers
Counter-factual Analysis of On-Line Math Tutoring Impact on Low-income High School Students
Bias Discovery in News Articles Using Word Vectors
Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure
Deep Neural Networks: A Case Study for Music Genre Classification
Depression Detection Using Combination of sMRI and fMRI Image Features
Automatic Recognition of Mild Cognitive Impairment and Alzheimers Disease Using Ensemble based 3D Densely Connected Convolutional Networks
Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels
Epidemiological Data Analysis in TerraFly Geo-spatial Cloud
Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks
Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical Assessment
A Deep Neural Network Approach for Early Diagnosis of Mild Cognitive Impairment Using Multiple Features
Evaluation of Microgesture Recognition Using a Smartwatch
Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora
Generalization of iterative sampling in autoencoders
Multimodal Variational Autoencoders for Sensor Fusion and Cross Generation
Computing with Words and Perceptions - A Paradigm Shift in Computing and Decision Analysis and Machine Intelligence
Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth
Empirical Co-occurrence Rate Networks for Sequence Labeling
Proceedings of the 2004 International Conference on Machine Learning and Applications - ICMLA 2004, 16-18 December 2004, Louisville, KY, USA
Improved kNN Rule for Small Training Sets
Improving Robustness: When and How to Minimize or Maximize the Loss Variance
Resource-Size Matters: Improving Neural Named Entity Recognition with Optimized Large Corpora
Novelty-based Generalization Evaluation for Traffic Light Detection
Cluster Analysis Using Improved Fuzzy c-Means Clustering for Object Localization: Vision Based Ill Cattle Localization System
Leveraging LLMs for Integrated Sentiment and Topic Analysis on African Social Media
CiPSI and CiPSINet: a New Dataset and Network for Finding Cars in Panchromatic Satellite Images
TIE: An Algorithm for Incrementally Evolving Taxonomy for Text Data
Quantifying Influencer Impact on Affective Polarization
Support Vector Machines versus Decision Templates in Biomedical Decision Fusion
Face Recognition Using Segmentation Technology
Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web
Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes
A New Feature for Cross-Day Psychophysiological Workload Estimation
A Non-parametric Approach to Approximate Dynamic Programming
Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-armed Bandit Problems
Independent Component Analysis Based on Mutual Dependence Measures
Semantic Mapping of XML Tags Using Inductive Machine Learning
A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement Learning
MaskedFusion: Mask-based 6D Object Pose Estimation
Intelligent Fall Detection and Emergency Response for Smart Homes Using Language Models
Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge
Fiji-FIN: A Fault Injection Framework on Quantized Neural Network Inference Accelerator
Learning to Rank Drug Combinations
Boosted Dynamic Cognitive Activity Recognition from Brain Images
PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing
A "virtual student" leads to the possibility of optimiser agents in an ITS
Modelling Turkey's Energy Consumption Based on Artificial Neural Network
DeepHCF: A Deep Learning Based Hybrid Collaborative Filtering Approach for Recommendation Systems
A Novel Multi-Label Evaluation Measure with Comparative Analysis
Relational Classifiers in a Non-relational World: Using Homophily to Create Relations
Towards Real-Time Detection and Mitigation of Driver Frustration using SVM
Recognition of Slab Identification Numbers Using a Deep Convolutional Neural Network
Safe Reinforcement Learning for LiDAR-based Navigation via Control Barrier Function
Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision
Assisted Maintenance of Automatic Reclosers with Object Detection through Mobile Devices
Solving the Electricity Technician Dispatch Problem
Using Graph Embeddings and Machine Learning to Detect Cryptography Misuse in Source Code
Population Migration Using Dominance in Multi-population Cultural Algorithms
A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing
N-BEATS-RNN: deep learning for time series forecasting
Learning Geographic Regions using Location Based Services in Next Generation Networks
RNA Search Acceleration with Genetic Algorithm Generated Decision Trees
Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts
Diffusion Equation Based Subspace Extraction of Image Data for Fast K-Means
Detection of Endoscope Withdrawal Time in Colonoscopy Videos
Active Stereo Olfactory Sensing System for Localization of Gas/Odor Source
Estimation of PSF for a Shaking Blurred Image Using GA
Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction
Active Learning for Improvement of Classification of Cyberthreat Actors in Text Fragments
Efficient CNN-LSTM Based Parameter Estimation of Lévy Driven Stochastic Differential Equations
Adaptive Methods for Activity Monitoring of Streaming Data
Collective Classification Using Semantic Based Regularization
Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation Prediction
A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms
DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation
Learning Effective Query Management Strategies from Big Data
Sparse representations and performances in support vector machines
A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming
Using Machine Learning to Improve Surgical Outcomes
Multi-Modal Relational Side Information Graph Attention Networks for Recommender System
A Textual Representation Scheme for Identifying Clinical Relationships in Patient Records
Automatic Detection of Excessive Glycemic Variability for Diabetes Management
Study of Bidimensional Empirical Mode Decomposition Method for Various Radial Basis Function Surface Interpolators
Price Forecasting in the Spanish Day-Ahead Electricity Market Using Preconditioned Wind Power Information
Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis
Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics
Web-based maze robot learning using fuzzy motion control system
Real-Time Automatic Checkout via Prompt-Based Product Extraction and Cross-Domain Learning
Using Local Regression in Monte Carlo Tree Search
Machine Learning and Text Mining of Trophic Links
Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice
Catch Weight Prediction for Multi-Species Fishing using Artificial Neural Networks
Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading
Vocal Characteristics Classification of Audio Segments: An Investigation of the Influence of Accompaniment Music on Low-Level Features
Multi-Task Learning for Material Property Prediction
A Comparative Analysis of Nature-Inspired Feature Selection Algorithms in Predicting Student Performance
Fast Nearest Neighbor Search with Transformed Residual Quantization
Fast cross-validation of kernel Fisher discriminant classifiers
Calibrating Random Forests
Applying Gradient Boosting Trees and Stochastic Leaf Evaluation to MCTS on Hearthstone
Optimization approaches for semi-supervised learning
Validating Meronymy Hypotheses with Support Vector Machines and Graph Kernels
Learning across label confidence distributions using Filtered Transfer Learning
Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery
Query Expansion for UMLS Metathesaurus Disambiguation Based on Automatic Corpus Extraction
Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods
A Model of Local Binary Pattern Feature Descriptor for Valence Facial Expression Classification
Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks
A Riemannian Stopping Criterion for Unsupervised Phonetic Segmentation
Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm
Classification of Pollen Grain Images Based on an Ensemble of Classifiers
A Curated Set of Labeled Code Tutorial Images for Deep Learning
Secure Federated Training: Detecting Compromised Nodes and Identifying the Type of Attacks
Performance evaluation of EANT in the robocup keepaway benchmark
Survey of Clinical Data Mining Applications on Big Data in Health Informatics
L0-Regularized Parametric Non-negative Factorization for Analyzing Composite Signals
Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments
Image Watermarking with Region of Interest Determination Using Deep Neural Networks
Radar-Based Non-intrusive Fall Motion Recognition using Deformable Convolutional Neural Network
Multi-Modal Contrastive Learning for Medical Image Classification with Limited Training Data
Interpretable Approximation of a Deep Reinforcement Learning Agent as a Set of If-Then Rules
Learning from Uncertainty: Improving Churn Prediction using Conformal Confidence Intervals
WNN-based Fast Event Pattern Detection and Prediction Using Reversed Pattern Tree for Cloud System Reliability Management
What are they Reporting? Examining Student Cybersecurity Course Surveys through the Lens of Machine Learning
Detection of Coronavirus Disease (COVID-19) Based on Deep Features and Support Vector Machine *
Applying Swarm Ensemble Clustering Technique for Fault Prediction Using Software Metrics
Coping with partially corrupted data
The Effect of Number of Iterations on Ensemble Gene Selection
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
Feature selection based on word-sentence relation
Multi-atlas Based Image Selection with Label Image Constraint
Naive Bayes with Correlation Factor for Text Classification Problem
Improved Selection of Auxiliary Objectives Using Reinforcement Learning in Non-stationary Environment
Online EM Monitoring of 802.11n Networks using Self Adaptive Kernel Machine
Early Churn Prediction from Large Scale User-Product Interaction Time Series
Improved Time Series Classification with Representation Diversity and SVM
Applying Supervised Learning to the Static Prediction of Locality-Pattern Complexity in Scientific Code
Comparative Evaluation of Autoencoders for Semi-Supervised Anomaly Detection on Univariate Time Series Data
An Ensemble Approach to Time Dependent Classification
Learning Long-Term Situation Prediction for Automated Driving
An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction
Evaluation of SMOTE for High-Dimensional Class-Imbalanced Microarray Data
A Validation Framework for ARP Similarity Measure
Balancing Similarity-Contrast in Unsupervised Representation Learning: Evaluation with Reinforcement Learning
Correlating Filter Diversity with Convolutional Neural Network Accuracy
Automating Microarray Classification Using General Regression Neural Networks
Algorithms for parallel boosting
Forecasting Rogue Waves in Oceanic Waters
A Hybrid Feature Selection and Generation Algorithm for Electricity Load Prediction Using Grammatical Evolution
Spiral Multipoint Search for Global Optimization
Discriminative Multi-stream Discrete Hidden Markov Models
Deep Transductive Nonnegative Matrix Factorization for Speech Separation
TranSQL: A Transformer-based Model for Classifying SQL Queries
Context-Aware Autonomous Driving Using Meta-Reinforcement Learning
Concurrent Learning of Bayesian Agents with Deep Reinforcement Learning for Operational Planning
Data-Driven Kernels via Semi-supervised Clustering on the Manifold
Spatial Transformer Network YOLO Model for Agricultural Object Detection
Improved Fine-Grained Component-Conditional Class Labeling with Active Learning
A Syllable-Level Probabilistic Framework for Bird Species Identification
A Supervised Time Series Feature Extraction Technique Using DCT and DWT