yusuke1997/dblp-id-title huggingface dataset:
Detecting Malicious URLs Based on Machine Learning Algorithms and Word Embeddings
Modern approaches to preprocessing industrial data
Toward a hybrid vehicle communication platform based on VLC and DSRC technologies
Efficient Machine Learning Ensemble Methods for Detecting Gravitational Wave Glitches in LIGO Time Series
Improving the Accuracy of Deep Neural Networks Through Developing New Activation Functions
Drop Ripple Counter: An Innovative Clustering Approach
A mediation approach in Geospatial Web services gridification
Efficient Multi-Stage Detection of Malicious Windows Executable During Execution
Investigating adverse drug reactions using Conceptual Landscapes
Cognitive decline management through theatre therapy, artificial intelligence, and social robots
NEARBY Platform for Detecting Asteroids in Astronomical Images Using Cloud-based Containerized Applications
Reliability-by-design for Digital Twins: Value Creation and Trust Throughout the Whole Lifecycle
Proceedings of the First International Workshop on Distributed Digital Twins co-located with DisCoTec 2024 - 19th International Federated Conference on Distributed Computing Techniques (DisCoTec 2024), Groningen, the Netherlands, June 17, 2024
Science-Twins: Digital Twins for Interactive Lecture Demonstrations
An Implementation Model for Correct Audit Logging in Cyber-Physical Systems
Realising Distributed Digital Twins within Federated Digital Infrastructures
Development and Evaluation of a FIWARE-based Digital Twin Prototype for Road System
Cybersecurity in Distributed Industrial Digital Twins: Threats, Defenses, and Key Takeaways
Big Data in Cognitive Neuroscience: Opportunities and Challenges
A Short Review on Cataract Detection and Classification Approaches Using Distinct Ophthalmic Imaging Modalities
Modeling Sparse and Evolving Data
Enhanced Bond Energy Algorithm for Vertical Fragmentation of IoT Data in a Fog Environment
Graphical Analysis and Visualization of Big Data in Business Domains
Data Fortress- File Sharing System Enhancing the Features of Blockchain
Segment-Search vs Knowledge Graphs: Making a Key-Word Search Engine for Web Documents
Electricity Demand and Price Forecasting Using LSTM for Smart Grid Operations
Combining User Interested Topic and Document Topic for Personalized Information Retrieval
Tutorial: Social Media Analytics
Learning Enhancement Using Question-Answer Generation for e-Book Using Contrastive Fine-Tuned T5
Emerging Technologies and Opportunities for Innovation in Financial Data Analytics: A Perspective
Explainable Graph Neural Networks to Identify Potential Atoms and Chemical Bonds of Drug Candidates from Drug Target Interactions
Improving Multimodal Sentiment Analysis with Unimodal Pseudo-label Generation
CuraEx - Clinical Expert System Using Big-Data for Precision Medicine
An Efficient Distributed Coverage Pattern Mining Algorithm
Temporal Analysis of User Behavior and Topic Evolution on Twitter
Improving Emotional Confusions in SNS Sentiment Analysis by Partial Redistribution of BERT Discrimination Results
Image Caption Generation Using Deep Learning
A Deep Learning Based Approach to Automate Clinical Coding of Electronic Health Records
Model-Free Optimal Control: A Critical Analysis
Infant Mortality in India: Understanding the Problem Using Machine Learning Lens
Exploiting Schema and Documentation for Summarizing Relational Databases
Enhancing Cardiovascular Disease Prediction Among Middle-Aged Individuals Using Reinforcement Learning Dynamic Ensemble Selection with Customizable Actions and Exploration-Exploitation Balance
A Distributed Ensemble Machine Learning Technique for Emotion Classification from Vocal Cues
Stylometric Analysis for Authorship Attribution on Twitter
A Robust Ensemble Machine Learning Model with Advanced Voting Techniques for Comment Classification
Simulation, Classification, and Classification via Simulation
Vayu Vishleshan: AQI Monitoring and Reduction Analysis
Sentinel: An Enhanced Multimodal Biometric Access Control System
Big Data and Artificial Intelligence - 12th International Conference, BDA 2024, Hyderabad, India, December 17-20, 2024, Proceedings
Performance Comparison of Hadoop Based Tools with Commercial ETL Tools - A Case Study
Explainable Detection and Analysis of Cauliflower Leaf Diseases
Recognizing Selected Features in the News Text
Improving Time Series Forecasting Using Mathematical and Deep Learning Models
Smart E-learning Development Tool Using Generative AI and Retrieval-Augmented Approach
Big Data Analytics - 10th International Conference, BDA 2022, Hyderabad, India, December 19-22, 2022, Proceedings
The Role of Incentive-Based Crowd-Driven Data Collection in Big Data Analytics: A Perspective
Adversarial Collusion on the Web: State-of-the-Art and Future Directions
Big Data Analytics - 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings
Sentiment Analysis of Twitter Feeds
Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions
Context-Enhanced Language Models for Generating Multi-paper Citations
Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream Through TLS/SSL Layer
Deep Learning in the Domain of Near-Duplicate Document Detection
An Efficient Method of Building an Ensemble of Classifiers in Streaming Data
PRISMO: Priority Based Spam Detection Using Multi Optimization
Real-Time Pothole Detection System: A Deep Learning Approach with SSD
DXML: Distributed Extreme Multilabel Classification
Spatial Co-location Pattern Mining
Predictive Analytics for Recognizing Human Activities Using Residual Network and Fine-Tuning
Elections Again, Twitter May Help!!! A Large Scale Study for Predicting Election Results Using Twitter
Analysis of Weather Condition Based Reuse Among Agromet Advisory: A Validation Study
Ontology Augmented Data Lake System for Policy Support
I/O Efficient Algorithms for Block Hessenberg Reduction Using Panel Approach
Recommending Question-Answers for Enriching Textbooks
Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation
Dynamic Deployment of Serverless Data Pipeline on Fog Nodes
Explorations in Active Learning Applied to Image Classification
Improving Result Diversity Using Query Term Proximity in Exploratory Search
Tooth Detection from Panoramic Radiographs Using Deep Learning
ARCORE: A Requirements Dataset for Service Identification
Investigating the Role of Twitter in E-Governance by Extracting Information on Citizen Complaints and Grievances Reports
Extremely Randomized Tree Based Sentiment Polarity Classification on Online Product Reviews
A Parallel Approach to Detect Communities in Evolving Networks
A Framework to Improve Reuse in Weather-Based Decision Support Systems
Luring Conditions and Their Proof of Necessity through Mathematical Modelling
Generic Key Value Extractions from Emails
High Dimensional Big Data and Pattern Analysis: A Tutorial
Multilingual Speech Sentiment Recognition Using Spiking Neural Networks
Processing Spatio-temporal Data On Map-Reduce
Machine Learning in Particle Physics
Energy Data Analytics Towards Energy-Efficient Operations for Industrial and Commercial Consumers
Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases
Efficient Recommendation for Smart TV Contents
DMC Approach for Modeling Viral Transmission over Respiratory System
Big Data Analytics in Astronomy, Science, and Engineering - 12th International Conference on Big Data Analytics, BDA 2024, Aizu, Japan, November 26-28, 2024, Proceedings
Big-Data-Analytics in Astronomy, Science, and Engineering - 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7-9, 2021, Proceedings
Authorship Identification Using Stylometry and Document Fingerprinting
Ensemble Machine Learning and Natural Language Processing Techniques for the Assessment of Depression Using Non-clinical Texts
A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine (ACRE)
Khanan: Performance Comparison and Programming \alpha α -Miner Algorithm in Column-Oriented and Relational Database Query Languages
Analysis of Job Processing Data - Towards Large Cloud Infrastructure Operation Simulation
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification
Querying Healthcare Data in Knowledge-Based Systems
Big Data Analytics - Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, Proceedings
Challenges of Machine Learning for Data Streams in the Banking Industry
Data Analysis with Model Explainability for Air Quality and Pollution Prediction of Urban Areas in Edge Networks
SCIMAT: Dataset of Problems in Science and Mathematics
Faceted Browsing over Social Media
Towards Machine Learning to Machine Wisdom: A Potential Quest
Humble Data Management to Big Data Analytics/Science: A Retrospective Stroll
Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases
Big Data Analytics Advances in Health Intelligence, Public Health, and Evidence-Based Precision Medicine
Applying Machine Learning to Anomaly Detection in Car Insurance Sales
Autonomous Real-Time Science-Driven Follow-up of Survey Transients
Demonstrator of a Tourist Recommendation System
Automatic Identification of Cataract by Analyzing Fundus Images Using VGG19 Model
Scalable Analytics - Algorithms and Systems
Class Aware Exemplar Discovery from Microarray Gene Expression Data
Open Source Social Media Analytics for Intelligence and Security Informatics Applications
Efficient Knowledge Graph Embeddings via Kernelized Random Projections
A Transfer Learning Approach to Classify the Brain Age from MRI Images
Trip Planning and Scheduling Queries in Spatial Databases: A Survey
Introspecting Policy Documents Through Semantic Lenses of Sustainable Development Goals
Big Data and Artificial Intelligence - 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings
Applying Text Mining to Analyze Human Question Asking in Creativity Research
Discovering Quasi-Periodic-Frequent Patterns in Transactional Databases
Exploring Approaches to Detection of Anomalies in Streaming Data
A Front-End Framework Selection Assistance System with Customizable Quantification Indicators Based on Analysis of Repository and Community Data
Comparative Analysis of Rule-Based, Dictionary-Based and Hybrid Stemmers for Gujarati Language
A Novel Multi-task Learning Framework for Predicting Traffic Congestion
VLSI Implementation of Reconfigurable Canny Edge Detection Algorithm
Polystore Data Management Systems for Managing Scientific Data-sets in Big Data Archives
OWI: Open-World Intent Identification Framework for Dialog Based System
Study and Understanding the Significance of Multilayer-ELM Feature Space
NewsInstaMiner: Enriching News Article Using Instagram
A Comparison of Data Science Systems
Analysis and Recognition of Hand-Drawn Images with Effective Data Handling
An Introduction to Adversarial Machine Learning
Spectral Learning of Semantic Units in a Sentence Pair to Evaluate Semantic Textual Similarity
Relaxed Neighbor Based Graph Transformations for Effective Preprocessing: A Function Prediction Case Study
Vector-Based Semantic Scenario Search for Vehicular Traffic
Outcomes of Speech to Speech Translation for Broadcast Speeches and Crowd Source Based Speech Data Collection Pilot Projects
Drugomics: Knowledge Graph & AI to Construct Physicians' Brain Digital Twin to Prevent Drug Side-Effects and Patient Harm
Blockchain Based B-Health Prototype for Secure Healthcare Transactions
An Energy-Efficient Greedy MapReduce Scheduler for Heterogeneous Hadoop YARN Cluster
MQTT Protocol Use Cases in the Internet of Things
Economics of Gold Price Movement-Forecasting Analysis Using Macro-economic, Investor Fear and Investor Behavior Features
Sensors Based Advanced Bluetooth Pulse Oximeter System
Multistage Classification for Cardiovascular Disease Risk Prediction
Texture Feature Extraction: Impact of Variants on Performance of Machine Learning Classifiers: Study on Chest X-Ray - Pneumonia Images
VDMR-DBSCAN: Varied Density MapReduce DBSCAN
Approximate Fault-Tolerant Data Stream Aggregation for Edge Computing
Data-Driven Optimization of Public Transit Schedule
Entity Markup for Knowledge Base Population
2AI&7D Model of Resistomics to Counter the Accelerating Antibiotic Resistance and the Medical Climate Crisis
DisEvD: A Benchmark Dataset for Disruptive Event Identification from Online Social Network
Smartphone Mammography for Breast Cancer Screening
Modern Column Stores for Big Data Processing
Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud
Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?
Temporal Topic Modeling of Scholarly Publications for Future Trend Forecasting
Using Crowd Sourced Data for Music Mood Classification
GEC-DCL: Grammatical Error Correction Model with Dynamic Context Learning for Paragraphs and Scholarly Papers
Improving Infrastructure for Transportation Systems Using Clustering
Determining the Severity of Dementia Using Ensemble Learning
i-Fence: A Spatio-Temporal Context-Aware Geofencing Framework for Triggering Impulse Decisions
Current Trends in Learning from Data Streams
Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data
Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe
Integrated Transmission and Distribution Modelling Using Multi-agent Based Framework
Prediction for the Second Wave of COVID-19 in India
Big Data Analytics - 8th International Conference, BDA 2020, Sonepat, India, December 15-18, 2020, Proceedings
Searching for Short M-Dwarf Flares by Machine Learning Method
Information Exploration in E-Commerce Databases
Analysis of GPS Trajectories Mapping on Shape Files Using Spatial Computing Approaches
Fault Tolerant Data Stream Processing in Cooperation with OLTP Engine
Introducing Federated Learning into Internet of Things Ecosystems - Maintaining Cooperation Between Competing Parties
AI-Based Assistance for Management of Oral Community Knowledge in Low-Resource and Colloquial Kannada Language
A Scientific Perspective of Agnihotra to Curtail Pollutants in the Air
Big Data Analytics - 6th International Conference, BDA 2018, Warangal, India, December 18-21, 2018, Proceedings
Adaboost.RT Based Soil N-P-K Prediction Model for Soil and Crop Specific Data: A Predictive Modelling Approach
Oversample Based Large Scale Support Vector Machine for Online Class Imbalance Problem
Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning
Skin Cancer Recognition for Low Resolution Images
Exoplanet Detection: A Detailed Analysis
Pairing Users in Social Media via Processing Meta-data from Conversational Files
Big Data over Cloud: Enabling Drug Design Under Cellular Environment
Applying Big Data Intelligence for Real Time Machine Fault Prediction
Semantics for Resource Selection in Next Generation Internet of Things Systems
Forecasting AQI Data with IoT Enabled Indoor Air Quality Monitoring System
Twitter Sentiment Analysis in Resource Limited Language
A Blockchain-Based Approach for Audit Management of Electronic Health Records
Symbolic Regression for Interpretable Scientific Discovery
Revolutionizing High School Physics Education: A Novel Dataset
Advanced HLS for Reconfigurable Image Processing in Big Data Systems
Neuro-Symbolic Regression with Applications
Architectural Patterns for Integrating Data Lakes into Data Warehouse Architectures
Evaluating the Cultural Sensitivity of Large Language Models in Mental Health Support: A Framework Inspired by Ubuntu Values
IndoorGNN: A Graph Neural Network Based Approach for Indoor Localization Using WiFi RSSI
A New Proposed Feature Subset Selection Algorithm Based on Maximization of Gain Ratio
Challenges and Approaches for Large Graph Analysis Using Map/Reduce Paradigm
Fog Enabled Distributed Training Architecture for Federated Learning
Real Time Static Gesture Detection Using Deep Learning
Multi-omics Multi-scale Big Data Analytics for Cancer Genomics
Blockchain-Powered Big Data Analytics Platform
Deep Neural Network Based Image Captioning
DLMLP with Elastic-Net Regularization for Hyperspectral Image Classification
'Precision Health': Balancing Reactive Care and Proactive Care Through the Evidence Based Knowledge Graph Constructed from Real-World Electronic Health Records, Disease Trajectories, Diseasome, and Patholome
Big Data Analytics - 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings
Detecting Frauds and Money Laundering: A Tutorial
Distributed Financial Calculation Framework on Cloud Computing Environment
Big Data Analytics - Third International Conference, BDA 2014, New Delhi, India, December 20-23, 2014. Proceedings
Evaluating Deep Learning Embedding Techniques for Code Smell Detection
gCDR: A Group Aided Cross-Domain Recommendation Framework
IGUANER - DIfferential Gene Expression and fUnctionAl aNalyzER
SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics Q &A
Adaptive Temporal Random Walks for Graph Representation
Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer
Incremental SVD-Based Hybrid Movie Recommendation to Improve Content Delivery Over CDN
Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems
Big Data Management for Policy Support in Sustainable Development
HeteroFormer: A Structure Aware Heterogeneous Graph Transformer
Deep Learning Framework for Early Diagnosis of COPD and Respiratory Diseases Using Lung Sound Analysis
Policy Driven Epidemiological (PDE) Model for Prediction of COVID-19 in India
Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification
Blockchain-Enabled System for Interoperable Healthcare
An Efficient Algorithm for Mining High-Utility Itemsets with Discount Notion
Semantic Interoperability in Electronic Health Record Databases: Standards, Architecture and e-Health Systems
Bridging the Inferential Gaps in Healthcare
Finding Periodic Patterns in Big Data
GCN-MLP Framework for EEG-Based Vigilance Estimation for Variable Data Length
A Programmatic Solution to Stop Heartbleed Bug Attack
Computer-Aided Diagnosis of Thyroid Dysfunction: A Survey
Face Mask Detection Using Transfer Learning of InceptionV3
Fast Similarity Search in Large-Scale Iris Databases Using High-Dimensional Hashing
A Comparison of Statistical Machine Learning Methods in Heartbeat Detection and Classification
Schema Transformation from RDBMS to NoSQL Using Hypergraph
Efficient Implementation of Web Search Query Reformulation Using Ant Colony Optimization
Suśruta: Artificial Intelligence and Bayesian Knowledge Network in Health Care - Smartphone Apps for Diagnosis and Differentiation of Anemias with Higher Accuracy at Resource Constrained Point-of-Care Settings
Discovery of Small Signals in Big Backgrounds
MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos
GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced Logs
Mining Credible and Relevant News from Social Networks
A Novel Approach to Identify the Determinants of Online Review Helpfulness and Predict the Helpfulness Score Across Product Categories
Transforming Sensing Data into Smart Data for Smart Sustainable Cities
KG-CTG: Citation Generation Through Knowledge Graph-Guided Large Language Models
Saral Anuyojan: An Interactive Querying Interface for EHR
MLN-geeWhiz: Supporting Complex Data Analysis Including Visualization
A Deep Learning Emotion Classification Framework for Low Resource Languages
SDG_HHAG Framework: Homogeneous and Heterogeneous Attributed Graphs
Analyze the Impact of Weather Parameters for Crop Yield Prediction Using Deep Learning
Utility-Based Control Flow Discovery from Business Process Event Logs
Data Cube Is Dead, Long Life to Data Cube in the Age of Web Data
A Novel Feature Selection Based Text Classification Using Multi-layer ELM
Big Data Analytics Enabled Smart Financial Services: Opportunities and Challenges
Exploring Kaguya Moon Mission Sensor Data by Locating Geographic Entities
Fusion of Game Theory and Big Data for AI Applications
The Next Generation Web: Technologies and Services
A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value
Homogenous Ensemble of Time-Series Models for Indian Stock Market
Evaluation of Hybrid Quantum Approximate Inference Methods on Bayesian Networks
SARROD: SPARQL Analyzer and Reordering for Runtime Optimization on Big Data
Concept Discovery from Un-Constrained Distributed Context
Large-Scale Information Extraction from Emails with Data Constraints
Mobility Big Data Analysis and Visualization (Invited Talk)
A Revenue-Based Product Placement Framework to Improve Diversity in Retail Businesses
Experimenting with Assamese Handwritten Character Recognition
FastTIRP: Efficient Discovery of Time-Interval Related Patterns
Computational Core for Plant Metabolomics: A Case for Interdisciplinary Research
CKELM: Unified Approach to Parking Space Classification for All Weather Types
Hate Speech Detection Using Static BERT Embeddings
Testing Concept Drift Detection Technique on Data Stream
A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions
An Efficient Predictive Big Data Analytics for Supply Chain Demand Forecasting Through Ensemble Learning
Design of the Cogno Web Observatory for Characterizing Online Social Cognition
FedNorm: Optimised Federated Learning Strategy Using Hybrid Regularisation Norm
Why Multilayer Networks Instead of Simple Graphs? Modeling Effectiveness and Analysis Flexibility and Efficiency!
TKG: Efficient Mining of Top-K Frequent Subgraphs
Neutrosophic Clustering Method with Local Spatial Information for Dermoscopic Image Segmentation
MHD Turbulence in a Cylindrical Shearing Box
Ensemble-Based Road Surface Crack Detection: A Comprehensive Approach
Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets
SemEnAl: Using Semantics for Accelerating Environmental Analytical Model Discovery
Overview of Current Challenges in Multi-architecture Software Engineering and a Vision for the Future
Efficient Detection of Acute Lymphoblastic Leukemia in Microscopic Blood Cell Images
Big Data Analytics in Astronomy, Science, and Engineering - 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5-7, 2023, Proceedings
An Ingestion Based Analytics Framework for Complex Event Processing Engine in Internet of Things
MPP SQL Query Optimization with RTCG
Hybridization of K-Means and Chaotic K-Best Gravitational Search Algorithm to Solve Clustering Problems
Assessing the Efficacy of Synthetic Data for Enhancing Machine Translation Models in Low Resource Domains
Malware Detection Using Machine Learning and Deep Learning
Automated Credibility Assessment of Web Page Based on Genre
Big Data Analytics - 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings
Journey of Database Migration from RDBMS to NoSQL Data Stores
Analysis of the Co-purchase Network of Products to Predict Amazon Sales-Rank
An Explicit Relationship Between Sequential Patterns and Their Concise Representations
Blockchain-Based Framework for Healthcare 5.0
Market Intelligence for Agricultural Commodities Using Forecasting and Deep Learning Techniques
Rank-Based Prefetching and Multi-level Caching Algorithms to Improve the Efficiency of Read Operations in Distributed File Systems
Deep Learning Models for Medical Image Analysis: Challenges and Future Directions
Interpreting Context of Images Using Scene Graphs
GREAT AI in Medical Appropriateness and Value-Based-Care
Development of the Research Data Archive at OIST
Tuberculosis Disease Diagnosis Using Controlled Super Resolution
Big Data Analytics Framework for Spatial Data
Topic Modeling Applied to Reddit Posts
A Review of Approaches on Facets for Building IT-Based Career Guidance Systems
Formal Methods, Artificial Intelligence, Big-Data Analytics, and Knowledge Engineering in Medical Care to Reduce Disease Burden and Health Disparities
Community Detection in Large Directed Graphs
Privacy Protection or Data Value: Can We Have Both?