yusuke1997/dblp-id-title huggingface dataset:
Functional Dependency Driven Auxiliary Relation Selection for Materialized Views Maintenance
Goal-based Ontology Creation for Natural Language Querying in SAP-ERP Platform
Uncertain Clustering: Models, Methods and Applications
NMNet: Spatial-Temporal Transformer for EEG Signal Analysis in Neuromarketing
Efficient and scalable processing of frequent SPARQL queries
An Unsupervised Approach to Sentence Classification
On Camera Pose Estimation for 3D Scene Reconstruction
Customer Support Chat Intent Classification using Weak Supervision and Data Augmentation
Enriching domain ontologies using question-answer datasets
Similarity Search in Moving Object Trajectories
Global Optimization and Parallelization of Integrity Constraint Checks
Vector-based Ranking Techniques for Identifying the Topical Anchors of a Context
Speeding up LIME using Attention Weights
Accelerating Computer Vision Tasks on GPUs using Ramanujan Graph Product Framework
Model Agnostic Information Biasing for VQA
Solving TC-type AWPs using external knowledge & learning
MoDest: Multi-module Design Validation for Documents
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, India, January 4-7, 2024
Mining Rare Periodic-Frequent Patterns Using Multiple Minimum Supports
Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases
Indian Classical Music Synthesis
ComParE: A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms
Tweeting in Support of LGBT?: A Deep Learning Approach
Domain2Vec: Identifying User Affinities using Domain Embeddings
A Simple and Scalable Filter for XML Streams
Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs
CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 - 10, 2022
Algebra-Based Optimization of XML-Extended OLAP Queries
An Intelligent Doorbell Design Using Federated Deep Learning
CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, Virtual Event, Bangalore, India, January 2-4, 2021
Text Mining of Biomedical Literature Repositories
It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment
Missing Data Resilient Ensemble Subspace Decision Tree Classifier
Data Synthesis for Testing Black-Box Machine Learning Models
Explainable Data Imputation using Constraints
Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection
Image Captioning with Pretrained Language Generators
Forecasting the Impact of Anomalous Events on Business Process Performance
β-Decode: Attention-based Decoding Temporal Artifacts via Unsupervised β-Variational Autoencoder
An Approach for Speech Enhancement in Low SNR Environments using Granular Speaker Embedding
SkyCover: Finding Range-Constrained Approximate Skylines with Bounded Quality Guarantees
CQASUMM: Building References for Community Question Answering Summarization Corpora
SynDECA: A Tool to Generate Synthetic Datasets for Evaluation of Clustering Algorithms
Optimally Extracting Discriminative Disjunctive Features for Dimensionality Reduction
Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging
OntoSeer: A Tool to Ease the Ontology Development Process
Data Management Challenges in India's Unique Identification Number System
Towards Efficient Discovery of Frequent Patterns with Relative Support
Catch-phrase based Document Representation for Improved Prior Art Search
Estimation of Software Productivity from Code Reading Pattern
A Riemannian Approach to Extreme Classification Problems
EcoRep: An Economic Model for efficient dynamic replication in Mobile-P2P networks
Machine versus Human Attention: A comparative study of different transfer learning models
Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes
Processes Summarization
Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking
Towards Designing Accurate FISH Probe Detection using 3D U-Nets on Microscopic Blood Cell Images
Cost-Sensitive Trees for Interpretable Reinforcement Learning
INSTRUCT - Space-Efficient Structure for Indexing and Complete Query Management of String Databases
A mobile app based smoking cessation assistance using automated detection of smoking activity
Automatic Assessment of Quality of your Data for AI
Ranking Mechanisms for Interaction Networks
Link prediction techniques to handle tax evasion
Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD), Jodhpur, India, December 18-21, 2024
A Unified and Scalable Data Migration Service for the Cloud Environments
An Epidemic Model of social and political campaigns on Twitter
Maintaining Semantic and Structural Metadata in the Metadata View Graph Framework
Gaining Insights from the world's largest user-activity database: Methodology & Challenges of Internet Data Research
AVADHAN: System for Open-Domain Telugu Question Answering
From Model Extraction to Model-based Reuse of Enterprise Documents
Determining the User Intent Behind Web Search Queries by Learning from Past User Interactions with Search Results
TBCELF: Temporal Budget-Aware Influence Maximization
BUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells
An Integrated Method for Realtime 2D Hand Pose Detection
Symbiosis in the Intranet: How Document Retrieval Benefits from Database Information
On Inferring K Optimum Transformations of XML Document from Update Script to DTD
Industrial Safety Violation Detection using Action Recognition
An improved human-in-the-loop model for fine-grained object recognition with batch-based question answering
A Natural Language and Interactive End-to-End Querying and Reporting System
Data Grid Management
Estimating Missing Values in Related Sensor Data Streams
Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN
Solving age-word problems using domain ontology and BERT
Bayesian optimisation with prior reuse for motion planning in robot soccer
Edit Based Grading of SQL Queries
Solar Energy Forecasting Using Machine Learning
Vocabulary-constrained Question Generation with Rare Word Masking and Dual Attention
Preference-Aware Constrained Multi-Objective Bayesian Optimization
EndorSeer: An Add-on for Browsing Digital Libraries with "Endorsed" Citations
Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation
Customer Informatics by Embedding SMS Headers
Code-Mixed NLG: Resources, Metrics, and Challenges
Unlocking the Potential of Unstructured Data in Business Documents Through Document Intelligence
Distributed Data Streams and the Power of Geometry
Effective EEG Connectivity by Sparse Vector Autoregressive Model
Forecasting Using Consistent Experts
Quantum Algorithm for Linear Regression for Large Feature-Set
Model Driven Development of Content Management Applications
IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments
Visual Clue Based Extraction of Web Data from Flat and Nested Data Records
OCHD: Preserving Obliviousness Characteristic of Honeypot Database
Data Science and Natural Language Processing to Extract Information in Clinical Domain
Aletheia: A Fake News Detection System for Hindi
Integrating Code and Fragment Caching to Speedup Dynamic Web-Page Construction
Querying for Information Integration: How to go from an Imprecise Intent to a Precise Query?
Incremental Isolation Forest to Handle Concept Drift in Anomaly Detection
Using domain ontology to identify consistent and inconsistent cases from LSTM-generated transfer type AWPs
Causal Inference and Causal Machine Learning with Practical Applications: The paper highlights the concepts of Causal Inference and Causal ML along with different implementation techniques
Exploration and Mining of Web Repositories
Supervised Learning in Matrix Completion Framework for Recommender System Design
Making Fractional Distances work in the presence of White Noise - Motivation and Challenges
Provenance Framework for Twitter Data using Zero-Information Loss Graph Database
Causal Inference and Counterfactual Reasoning
Hardware Assisted Sorting in IBM's DB2 DBMS
RE-RentFraud: A System to detect Frauds in rent payments for Real-Estate properties
A Feasibility Study on Automating the Automotive Insurance Claims Processing
The Promises and Perils of Parallel Databases
Recommendations in the context of a Social Network
A Uniform Data Model for Relational Data and Meta-Data Query Processing
Mobile Application Security Assessment through Large Language Models (LLMs) based on User Reviews
Building Internet Scale Applications using a Distributed Cache
Learning to extract information from large websites using sequential models
UQ4Pro: A Demonstration Tool for Uncertainty Quantification in Process Industry Applications
SEMFD-Net : A Stacked Ensemble for Multiple Foliar Disease Classification
Automated Concept Extraction to aid Legal eDiscovery Review
Representing Large-Scale Uncertainty through Probabilistic Databases
Chemistry Inspired Molecular Representation for Property Prediction
Fairness in Algorithmic Decision Making
An Experiment with Distance Measures for Clustering
On the Enumeration of Maximal (Δ, γ)-Cliques of a Temporal Network
Discovery Services-Enabling RFID Traceability in EPCglobal Networks
Towards Automated Assessment of Organizational Cybersecurity Posture in Cloud
Disk Scheduling for Multimedia Database Applications
Decision Making under Uncertainty with Convolutional Deep Gaussian Processes
Relation Classification Model Performance as a Function of Dataset Label Noise
ReviewMT: Sentiment Preserved E-Commerce Review Translation System
Prototype Selection and Dimensionality Reduction on Multi-Label Data
Polarity Trend Analysis of Public Sentiment on YouTube
Native Multidimensional Indexing in Relational Databases
Big Data Curation
An In-depth Look at Modern Database Systems
TRANS: Top-k Implementation Techniques of Minimum Effort Driven Faceted Search For Databases
Scalable Data Management in the Cloud: Research Challenges and Opportunities
Information Lifecycle Management in Evolving Healthcare Databases
Increasing the Computer-Human Bandwith for Visual Knowledge Mining
A Simple and Efficient Lane Detection using Clustering and Weighted Regression
Making Web-scale Entity-Relationship Search a Reality
Federated Learning for Cold Start Recommendations
Vastr-GAN: Versatile Apparel Synthesised from Text using a Robust Generative Adversarial Network
Graph-based Deep Learning in Natural Language Processing
Sixth International Conference on Management of Data, COMAD 1994, Windsor Manor Sheraton & Towers, Bangalore, India, December 19-21, 1994
Fair Federated Learning for Heterogeneous Data
Subgraph Rank: PageRank for Subgraph-Centric Distributed Graph Processing
IndicOCR: A Pipeline for Recognizing Printed Documents for Indian Languages
ADINE : an adaptive momentum method for stochastic gradient descent
Imbalanced Multi-Class Research Article Classification using Sentence Transformers and Machine Learning Algorithms
Anticipatory Decisions in Retail E-Commerce Warehouses using Reinforcement Learning
Network Community Analysis Based Enhancement of Online Discussion Forums
Text2Illustration: Sampling and Composing Creatives With Text
Leveraging Ontological Knowledge for Neural Language Models
Selecting a Right Interestingness Measure for Rare Association Rules
Reliable Counterfactual Explanations for Autoencoder based Anomalies
Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic?
Cryptographic Techniques for Data Processing
GCFI++: Embedding and Frequent Itemset based Incremental Hierarchical Clustering with Labels and Outliers
Parametric Distributed Query Optimization based on Load Conditions
Knowledge Graph based Automated Generation of Test Cases in Software Engineering
19th International Conference on Management of Data, COMAD 2013, Ahmedabad, India, December 19-21, 2013
Big Data @ Flipkart: Driving Intelligence at Scale
Biomedical Network Link Prediction using Neural Network Graph Embedding
Enhancing Customer Service Chatbots with Context-Aware NLU through Selective Attention and Multi-task Learning
Active Learning for Air Quality Station Location Recommendation
Interaction dynamics between hate and counter users on Twitter
Green Computing for Big Data and Machine Learning
Hierarchical Online Mining for Associative Rules
Utilizing DevNet with Variational Loss for Fraud Detection in Hyperlocal Food Delivery
Deep CNN based pseudo-concept selection and modeling for generation of semantic multinomial representation of scene images
Warning: It's a scam!! Towards understanding the Employment Scams using Knowledge Graphs
On-Device Information Extraction from Screenshots in form of tags
Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning
RootSet: A Distributed Trust-based Knowledge Representation Framework For Collaborative Data Exchange
My City, My Voice: Listening to the Citizen Views from Web Sources
Demand Prediction in Online Food Delivery platforms Using Graph Neural Networks
Computational Fact Validation from Knowledge Graph using Structured and Unstructured Information
VizAI : Selecting Accurate Visualizations of Numerical Data
Intelligent Correction Predictor
Does Degree Capture It All? A Case Study of Centrality and Clustering in Signed Networks
Markov Logic Networks: Theory, Algorithms and Applications
Knowledge Enrichment for Conversational Recommendations
NetClus: A Scalable Framework to Mine Top-K Locations for Placement of Trajectory-Aware Services
Gradient Perturbation-based Efficient Deep Ensembles
Knowledge Management Framework Over Low Resource Indian Colloquial Language Audio Contents
Ambiguity: Hide the Presence of Individuals and Their Privacy with Low Information Loss
An Efficient Incremental Algorithm to Mine Closed Frequent Itemsets over Data Streams
Unsupervised Multi-task Learning Dialogue Management
OSHADI: A Biodiversity Information System
Program Synthesis: Does Feedback Help?
Alert Suppression with Fine-Grained and Coarse-Grained Feedback based Active Learning
Near-Separable Non-negative Matrix Factorization Using L1-Optimization
Mining Data Regions from Web Pages
Rethinking Eventual Consistency: Can we do better?
SPRING: Ranking the results of SPARQL queries on Linked Data
Leveraging Graph-Based Deep Learning for Epidemic Modeling
sv(M)kmeans - A Hybrid Feature Selection Technique for Reducing False Positives in Network Anomaly Detection
HaDeS: A Hadoop-based Framework for Detection of Peer-to-Peer Botnets
Travel Time Prediction of Taxis using Tensor Factorization
A Tuple Model for Summary Data Management
Active Ranking from Pairwise Comparisons with Dynamically Arriving Items and Voters
Exploiting Asynchronous IO using the Asynchronous Iterator Model
Preference Queries with SV-Semantics
VPER: Visual Product Entity Recognition for Fashion-wear
AGGLIO: Global Optimization for Locally Convex Functions
Softmax Coaxial Gaussian Track Code for Fingerprint Indexing
Scalable Information Extraction and Integration
Partially Materialized Partitioned Views
Towards understanding and mitigating the hallucinations in NLP and Speech
Linear Regression for Balancing Feature Relevance and Redundancy with Optimization
xEM: Explainable Entity Matching in Customer 360
TAP: A Platform for Enabling Enterprises to Develop Business Specific Text Analytic Applications
Forecasting the Future: Leveraging RNN based Feature Concatenation for Tweet Outbreak Prediction
Describing Patterns of Socio-Economic Development at Fine Spatial and Temporal Resolutions
Stance classification of multi-perspective consumer health information
Combining Datalog Databases Using Priorities
Unsupervised Topology Assessment in Smart Homes
MSBNet: Handwritten Bangla Character Recognition Using Lightweight Multi-scale CNN Architecture
Efficient Algorithm for Hierarchical Online Mining of Association Rules
Topic Distillation using Support Vector Data Description
Multimodal and Multitask Approaches for Cataract Grading
Introduction to Knowledge Graph Stores with Applications
Decentralized Learning with GANs
Studying the influence of requesters in posted-price crowdsourcing
Web Personalization and Recommender Systems: An Overview
MODETL: A Complete MODeling and ETL Method for Designing Data Warehouses from Semantic Databases
Indexing Large Moving Objects from Past to Future with PCFI+-Index
Reliability Aware Data Fusion
Learn to Bind and Grow Neural Structures
Generalized Structured Low-Rank Tensor Learning
Improving Cloud Availability with On-the-fly Schema Updates
Formalizing Recovery in Transaction-Oriented Database Systems
A Model Driven Approach to Enterprise Data Integration
Automated Content Labeling using Context in Email
An Incremental Summary Generation System
Sequence Queries and Applications
Towards Business Process Observability
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), Mumbai, India, January 4-7, 2023
Knowledge Extraction from Databases using Self-Organizing Maps
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases
Problem Identification by Mining Trouble Tickets
Fast Frequent Pattern Mining in Real-Time
DeepHalo - Finding Dark Matter Halo Substructure Using Deep Learning
Personalized Web-page Rendering System
Image Caption Generator using Siamese Graph Convolutional Networks and LSTM
Adversarial Demotion of Bias in Natural Language Generation
A Geometric Measure of Polysemy in Hindi Language
DL4HC: Deep Learning for Healthcare
Prediction of CardioVascular Disease (CVD) using Ensemble Learning Algorithms
Semantic SDG-Mapper: Browser Extension for Mapping Sustainable Development Goals to Open Webpages
Trust-Based Infinitesimals for Enhanced Collaborative Filtering
Ensemble Learning Approach for Short-term Energy Consumption Prediction
Unsupervised Learning from URL Corpora
Gestop: Customizable Gesture Control of Computer Systems
Product discovery from E-commerce listings via deep text parsing
The Social Network Effect on Surprise in Elections
Event Processing across Edge and the Cloud for Internet of Things Applications
A Group-to-Group Version of Random Walk Betweenness Centrality
Collaborative Drift Compensation
Performance Based Display Advertising - A Large Scale Machine Learning Model in Practice
Graph Mining Techniques and Their Application
Best-First Based Parallel Nearest Neighbor Queries
On Designing a Compaction Strategy for Enhanced LevelDB Read Performance
Accurate and Real Time Assisted Cataloging in E-commerce using Dual Images
Information spread in opinionated social networks
Concept Hierarchies for Database Integration in a Multidatabase System
Extracting Problem and Resolution Information from Online Discussion Forums
Are saddles good enough for neural networks
A Dynamic Attention Based Graph Neural Network for Anomaly Prediction in Multi-Variate Time-Series & Its Application in Network Monitoring
Local or Global? A Comparative Study on Applications of Embedding Models for Information Retrieval
Expertise Identification Using Transformers
Graph Clustering for Keyword Search
BRR-QA: Boosting Ranking and Reading in Open-Domain Question Answering
Open data using Cloud infrastructure: An initiative to host, share and use open data using cloud services
Probabilistic Trust Intervals for Out of Distribution Detection
Content-Aware Master Data Management
VacoPie: Visualizing Variance and Covariance Information onto Categorical Distribution of Data
ULTRA: Exploring Team Recommendations in Two Geographies Using Open Data in Response to Call for Proposals
Managing XML data with Evolving Schema
The Orion Uncertain Data Management System
Database Access Design for E-Business - A Case Study
AdvCodeMix: Adversarial Attack on Code-Mixed Data
Universalization of Any Adversarial Attack using Very Few Test Examples
Practical First-Order Bayesian Optimization Algorithms
SwaGrader: A Honest Effort Extracting, Modular Peer-Grading Tool
A Comprehensive Analysis of Adapter Efficiency
A Comparative Study of Mobile Agent and Client-Server Technologies in a Real Application
Convergence time analysis of Asynchronous Distributed Artificial Neural Networks
Fast Online 'Next Best Offers' using Deep Learning
A Network Coding Based Framework for Construction of Systematic Minimum Bandwidth Regenerating (MBR) Codes for Distributed Storage
Kshitij: A Search and Page Recommendation System for Wikipedia
BaSE (Byte addressable Storage Engine) Access Method
Potholes and bad road conditions: mining Twitter to extract information on killer roads
FoodNet: Simplifying Online Food Ordering with Contextual Food Combos
Agreement Based Source Selection for the Multi-Domain Deep Web Integration
Google Search in India: Unveiling the Geo-Personalized Web
Personalized Ranking in Collaborative Filtering: Exploiting l-th Order Transitive Relations of Social Ties
FuTSe: a fuzzy taxonomy service to facilitate product search
Cost-Optimized Video Transfer using Real-Time Super Resolution Convolutional Neural Networks
Supervised heterogeneous transfer learning using random forests
Hybrid Materialization in a Disk-Based Column-Store
Design Issues of Extensible Concurrency Control Mechanisms
Ensemble learning for credit card fraud detection
Tutorial on Fair and Private Deep Learning
Data Fabric Technologies and Applications
Short Text Matching in Performance Management
PRIL: Perceptron Ranking Using Interval Labels
Who's Who: Linking User's Multiple Identities on Online Social Media
Handling cold-start scenarios in point-of-interest recommendations through crowdsourcing
Meta-Learning for Few-Shot Time Series Classification
Feature Subset Selection using Adaptive Differential Evolution: An Application to Banking
Beyond Sentiment: A Multifaceted Review Scoring System for Enhanced Customer Feedback Analysis
Active Feature Acquisition via Human Interaction in Relational domains
Priority inversion in DRTDBS: challenges and resolutions
Deep Domain Adaptation under Label Scarcity
Improved Representations using Augmented Graphs
Multidimensional Database Design via Schema Transformation: Turning TPC-H into the TPC-H*d Multidimensional Benchmark
Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies
Klustree: clustering answer trees from keyword search on graphs
Deep reinforcement learning approach for routing and scheduling of trains at railway station
An Approach to Identify Provocative and Problematic Content with Social Nociceptor
A data driven approach for Sanskrit Derivative Nouns analysis
High Performance Data Mining: Consolidation and Renewed Bearing
Consent Service Architecture for Policy-Based Consent Management in Data Trusts
Higher-Level Genericity in Object-Oriented Databases
LPC: A Local Path-Based Centrality Method for Identifying Influential Nodes in Temporal Networks
SentEmoji: A Dataset to Generate Empathising Conversations
Silverfish: A Contextual Knowledge Extraction and Aggregation System for Academics
Real-time eye tracking using representation learning and regression
Sequences, Choices, and their Dynamics
Stance Detection in Hindi-English Code-Mixed Data
Declaratively Producing Data Mash-ups
Believe it or not!: identifying bizarre news in online news media
Scheduling and Caching in MultiQuery Optimization
Efficient Depth-First Search Approach for Mining Injective General Episodes
JovianDATA: A Multidimensional Database for the Cloud
Enhancing Federated Learning robustness in Wireless Networks
Enhanced Learning to Rank using Cluster-loss Adjustment
Deep Reinforcement Learning Algorithm for Fast Solutions to Vehicle Routing Problem with Time-Windows
Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question Answering
Short-Term Fog Forecasting using Meteorological Observations at Airports in North India
On-Device Document Classification using multimodal features
Cell Tower Localisation using Graph Convolutional Networks and Positional Encoding
Entity Join Optimization in Mutidatabase Systems