yusuke1997/dblp-id-title huggingface dataset:
Population-centric Profiling with Social Data for Large-scale Epidemiological studies
A Temporal Foundation for Continuous Queries over Data Streams
Genea: Schema-Aware Mapping of Ontologies into Relational Databases
A Concise Labeling Scheme for XML Data
Formalization and Detection of Events Using Interval-Based Semantics
Analysis of Image generation using Scene graphs
MQEB: Metadata-based Query Evaluation of Bi-labeled XML data
Ranking and Discovering Anomalous Neighborhoods in Attributed Multiplex Networks
Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives
Bootstrapping Chatbot Interfaces to Databases
Building Knowledge Graph for Products at Web Scale
Stream Mining via Density Estimators: A Concrete Application
Text Representation Models based on the Spatial Distributional Properties of Word Embeddings
Efficient Evaluation of Forward XPath Axes over XML Streams
Using Knowledge Graphs to improve Hate Speech Detection
Removing Noise Content from Online News Articles
Automated Incident Location Identification for EMS from Ambulance Geospatial Data
Towards Kernel Density Estimation over Streaming Data
UDAAN - Machine Learning based Post-Editing tool for Document Translation
Runtime Optimization of Continuous Queries
MultiChannel and Multiple Device Financial Frauds Detection
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
Internet Research: What's hot in Search, Advertizing, and Cloud Computing
UnURL: Unsupervised Learning from URLs
SGD-MLP: Structure Generation and Distillation using a graph free MLP
An Entailment Analysis Based Entity Mapping To Improve Automatic Question Generation
An Approach for Multimodal Medical Image Retrieval using Latent Dirichlet Allocation
Discovering Diverse-Frequent Patterns in Transactional Databases
Recommendence and Fashionsence: Online Fashion Advisor for Offline Experience
Analysing the Spread of Toxicity on Twitter
EasyDist: An End-to-End Distributed Deep Learning Tool for Cloud
Using Domain Ontologies for Efficient Information Retrieval
VeNoM: Approximate Subgraph Matching with Enhanced Neighbourhood Structural Information
Time to Rethink Database Teaching in India?
Performance Evaluation of Semantic Reasoners
Exploring State-of-the-Art Nearest Neighbor (NN) Search Techniques
Is it hard to learn a classifier on this dataset?
S-SUM: A System for Summarizing the Summaries
Mobile App for Image based Bill Data Processing
Multi-agent Reinforcement Learning for Joint Control of EV-HVAC System with Vehicle-to-Building Supply
Tutorial on Semantic Automation for Data Discovery
Unsupervised cost sensitive predictions with side information
A Semantic-aware RDF Query Algebra
Spatio-Temporal Indexing: Current Scenario, Challenges and Approaches
Union of Convex Separators (UCS)
CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, Hyderabad India, January 5-7, 2020
Efficient RDF dictionaries with B+ trees
Data Warehousing and Why it is the In-Thing
MalReG: Detecting and Analyzing Malicious Retweeter Groups
21st International Conference on Management of Data, COMAD 2016, Pune, India, March 11-13, 2016
A Logical Framework for Active Rules
Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines
Query Heartbeat: A Strange Property of Keyword Queries on the Web
A Data Model for Audio-Video Data
Information Management in the Cloud - Parallel Dataflow Programming Beyond Map/Reduce
Making Online BigData Small: Reducing Computation Cost and Latency in Web Analytics through Sampling
Exploiting Sparsity in Over-parameterized Federated Learning over Multiple Access Channels
CRM Analytics Framework
Advances in Data Management 2005, Proceedings of the 12th International Conference on Management of Data, COMAD 2005b, December 20-22, 2005, Hyderabad, India
BI on Data and Content Together: What will you do with the derived insights?
When to Trigger Active Rules?
Probabilistic Path Planning using Obstacle Trajectory Prediction
Generating Clinically Relevant Radiology Reports using Multimodal Deep Learning Models
Desbordante: from benchmarking suite to high-performance science-intensive data profiler
System Performance Challenges at NSDL
BLINKtextsubscriptLSTM: BioLinkBERT and LSTM based approach for extraction of PICO frame from Clinical Trial Text
Trajectory Analytics: Indexing, Mining, and Applications to Network Optimization
How to Stop Under-Utilization and Love Multicores
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018
Aspect-Sentiment-based Opinion Summarization using Multiple Information Sources
The Efficient Maintenance of Access Roles with Role Hiding
Geographic Data Modeling in TM
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents
Robust Covariance Matrix Estimation using Random Matrix Theory
Index Replication in a Distributed B-tree
Guiding Offline Reinforcement Learning Using a Safety Expert
A SPARQL to Cypher Transpiler: Proposal and Initial Results
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
Conflict-Dependency: Combining Concurrency Beyond Commutativity with Efficient Recovery
Uncovering patterns in heavy-tailed networks : A journey beyond scale-free
Conversational Payments on UPI Apps: A Pipeline Approach Leveraging ASR and NLP Techniques
Design, Implementation and Performance of a Real-Time Version of a Commercial RDBMS
Revisiting tendency based collaborative filtering for personalized recommendations
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning
Distributed Elastic Net Regularized Blind Compressive Sensing for Recommender System Design
Language Models and Brain Alignment: Brain Encoding and Decoding
Predicting Valence and Arousal from Affective Images: A Comparative Analysis of deep learning and Random Forest Regressor
Tabular Data Synthesis with GANs for Adaptive AI Models
Anomaly detection in IIoT: a case study using machine learning
ReFrame: Rectification Framework for Image Explaining Architectures
On Bayesian Network and Outlier Detection
Reinventing the Technology Stack at Oracle Labs
Towards Querying Uncertain Graphs
Surface Name Errors in Wikipedia
Hybrid HBase: Leveraging Flash SSDs to Improve Cost per Throughput of HBase
Robust Shape-regularized Non-negative Matrix Factorization for Real-time Source Apportionment
Tutorial on Automated Trading using API
Proceedings of the 17th International Conference on Management of Data, 2011, Bangalore, India
NanoBERT: An Extremely Compact Language Model
Prefix Tree with Encryption of Data and Itemsets
Space-time Prediction of High Resolution Raster Data: An Approach based on Spatio-temporal Bayesian Network (STBN)
Advances in Data Management 2005, Proceedings of the Eleventh International Conference on Management of Data, January 6, 7, and 8, 2005, Goa, India
Information Integration: Challenges and Approaches
Adaptive Learned Bloom Filters under Incremental Workloads
Big Streaming Graph Analysis
Fault in your stars: an analysis of Android app reviews
UCliDSS : An Unsupervised Clinical Decision Support System for Text
Imperfect Detection in Heterogeneous Complex Ecological Network: A GNN-based Approach
Forecasting of Fog Index and Prediction Interval using Bayesian Methods
Protecting Elections
VPTDrone: Video Processing Toolkit for Smart Surveillance Drone
Syncretic matching: story similarity between documents
Citicafe: conversation-based intelligent platform for citizen engagement
SQL Server Mobile: A Database for Pocket PCs and Smartphones
Excel Solvers for the Traveling Salesman Problem
A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling
Efficient Similarity Retrieval In Music Databases
Connectivity-Tolerant Query Optimization over Distributed Mobile Repositories
Model-based Safe Reinforcement Learning using Variable Horizon Rollouts
A semi-supervised approach to growing classification trees
Wireless Data Access using Multicasting
Handling Updates in Sequence Based XML Query Processing
Graph Based Hybrid Approach for Long-Tail Item Recommendation in Collaborative Filtering
Analyzing Interaction Dynamics in Social Networks through Social Yield
A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation
Towards a General Framework for Data-Driven City Comparison and Ranking
Federated Probabilistic Representation Learning using Information Geometric Approach
Business Insight from Collection of Unstructured Formatted Documents with IBM Content Harvester
Tutorial: Implementing High-Level Query Language Interfaces for Archetype-Based Electronic Health Records Database
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2019, Kolkata, India, January 3-5, 2019
Continual Federated Learning with Aggregated Gradients
View Based Review Exploration
Efficient Hessian-based DNN Optimization via Chain-Rule Approximation
Coverage Pattern Mining Based on MapReduce
20th International Conference on Management of Data, COMAD 2014, Hyderabad, India, December 17-19, 2014
ARGO - An AI Based Responsible Gamification Framework for Online Skill Gaming Platform
On the Complexity of Multi-Query Optimization in Stream Grids
Aided Selection of Sampling Methods for Imbalanced Data Classification
Demo of LiFE: A web app for collection, management and annotation of linguistic data
LWI and Safari: A New Index Structure and Query Model for Graph Databases
Predicting Outcomes in Limited-Overs Cricket Matches
Deep Gaussian Processes for Air Quality Inference
AI for Immersive Metaverse Experience
Cardinality Extraction from Text for Ontology Learning
Using Presence Information to Develop Converged Telecom Services: Standards and Challenges
D2CTNet: An Approach to Detect Dynamics of Candlestick charts and Technical indicators for Stock Market
MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset
A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce
Ranking Marginal Influencers in a Target-labeled Network
Documents meet Databases: A System for Intranet Search
Top-K High Utility Episode Mining from a Complex Event Sequence
An Application to Generate Style Guided Compatible Outfit
A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model
Reimagining Textbooks Through the Data Lens
User bias removal in review score prediction
HierTGAN: Hierarchical Time Series Generation with Aggregation Constraints
Enhanced Text Classification using Proxy Labels and Knowledge Distillation
Concurrency Control in Distributed MRA Index Structure
DIGITOUR: Automatic Digital Tours for Real-Estate Properties
Relational-like Query Language for Archetypes in Standardized Electronic Health Records Databases
Learning Knowledge Graph for Target-driven Schema Matching
Towards Designing an Automated Classification of Lymphoma subtypes using Deep Neural Networks
Minimizing Testing Overheads in Database Migration Lifecycle
Minimally Infrequent Itemset Mining using Pattern-Growth Paradigm and Residual Trees
Parichaya: Rural Colloquial Knowledge AI Interface
Responsible AI Tutorial
Review Based Recommendations with Human-like Reasons
AMAF-CD: A Game-Changing Approach for Optimizing Squad Movement in StarCraft
A segmentation based similarity measure for time series data
Defect Analytics: OLAP for Delivery Excellence
Tutorial: The Strange and Wondrous Ways of Industrial-strength Database Query Optimizers
Priority based functional group identification of organic molecules using machine learning
A Scalable Approach to Covariate and Concept Drift Management via Adaptive Data Segmentation
New User Product Recommendation for Q-commerce via Hierarchical Cross-Domain Learning
STRCUBE - An architecture and Reference Implementation for Streaming Star Schema
ℓp Subspace Embedding in Input Sparsity Time
Act2Code: Generating Sequential Robotic Instructions from Video Demonstration
A Survey on Sampling Techniques and Applications
CUM: An Efficient Framework for Mining Concept Units
Linear Discriminant Analysis for Data Aggregation in Big Data Wireless Sensor Networks
An Architecture-Oriented Data Warehouse Testing Approach
Query Oriented Extractive-Abstractive Summarization System (QEASS)
Information Integration Across Heterogeneous Sources: Where Do We Stand and How to Proceed?
Static Program Analysis Guided LLM Based Unit Test Generation
MineAr: using crowd knowledge for mining association rules in the health domain
Scalable linear classifiers based on exponential loss function
Learning to Predict Two-Wheeler Travel Distance
A city-agnostic framework to determine optimal location and sizing of electric vehicle charge stations
Feature Selection for High-Dimensional Data Through Instance Vote Combining
Modeling Relational Data as Graphs for Mining
Rooftop Detection using Aerial Drone Imagery
Predicting Business Process Events in Presence of Anomalous IT Events
A comparative study of feature extraction methods from user reviews for recommender systems
Query Cost Estimation in Relational Database Management System
Lessons and Insights from Super-Resolution of Energy Data
Building Knowledge-bases from the Web
Extracting Schema Variants from JSON Collections using JSVTree
ACL-SQL: Generating SQL Queries from Natural Language
Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity
Data preparation for fine tuning Large Language Models
Measures of Ignorance on the Web
A Query Interface for Ubiquitous Access to Database Resources
Sequential Pattern Mining with Constraints on Large Protein Databases
Collusion Set Detection using Graph Clustering
Sybase Appliance for Extreme Analytics
Diagnosing Covid-19 using AI based Medical Image Analysis
Probing TryOnGAN
Generalized Experiment Conclusion Framework for Extremely Volatile Data
A Translation Methodology to Design a Hyperinformation Database
Online Algorithm for Clustering with Capacity Constraints
Performance Engineering for Deep Learning Adaptation of Seismic Processing Workflow
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots
Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs
A robust section identification method for scanned electronic health records
Automatic Generation of Highly Accurate Parameter-optimal Segmentation Models in Precision Agriculture
PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption
Monitoring the growth of Polycystic Ovary Syndrome using Mono-modal Image Registration Technique: Application of Medical Big Data in Healthcare
Challenges in High Dimensional Data Visualization
Memeify: A Large-Scale Meme Generation System
Decisional Architecture for Text Warehousing: ETL-Text Process and Multidimensional Model TWM
Adaptive GloVe and FastText Model for Hindi Word Embeddings
Analysis and Prioritisation of Potential Gene Variants Powered by Semantic Intelligence
Epsilon Equitable Partition: A positional analysis method for large social networks
Efficient Approximate Dictionary Matching
Transaction support for HBase
Adaptive COVID-19 Forecasting via Bayesian Optimization
Learning from Low Training Data using Classifiers with Derivative Constraints
Robust Learning of Multi-Label Classifiers under Label Noise
Automatic Epilepsy Detection from EEG signals
Enhancing Region-Based Geometric Embedding for Gene-Disease Associations
Proceedings of the 15th International Conference on Management of Data, December 9-12, 2009, International School of Information Management, Mysore, India
SortingHat: A Deep Matching Framework to Match Labeled Concepts
Benchmarking Synchronous and Asynchronous Stream Processing Systems
Distributed Graph Neural Networks
Art to SMart: Automation for BharataNatyam Choreography
TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱
ActiveNet: A computer-vision based approach to determine lethargy
Applications of Machine Learning in Analysis of Citation Network
MEQA - A Multi-modal Interactive Enterprise Query Answering System using Multi-Agent LLM
What does your Packet Capture say?
Fine Grained Classification of Personal Data Entities with Language Models
Efficient Depth-First Search Approach for Mining Frequent Chain Episodes
Finding Information on the Web - Past, Present and Future
A Generalized Disjunctive Paraconsistent Data Model
LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱
FLUEnT: Financial Language Understandability Enhancement Toolkit
Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach
High-Precision Web Extraction Using Site Knowledge
Knowledge Discovery and Inference Detection
Relational Database Engines on Quantum Platforms
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts
Being Smart: The Role of Timely Analytics
An Application of Sensor and Streaming Analytics to Oil Production
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
Comparative benchmarking of causal discovery algorithms
Leadership resources in the World Wide Web
Statistical Analysis of Real XML Data Collections
STwalk: learning trajectory representations in temporal graphs
GuessTheMusic: Song Identification from Electroencephalography response
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning
An Adaptive, Load Balancing Parallel Join Algorithm
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Generative Fashion for Indian Clothing
Querying for relations from the semi-structured Web
Enhancing Motor Imagery based Brain Computer Interfaces for Stroke Rehabilitation
Deployability of Deep Reinforcement Learning in Portfolio Management
Using Natural Language Processing to Enhance Understandability of Financial Texts
Tools, Techniques and Case Studies for Text Analytics for Real World Problems
Quality Enhancement in Crowdsourcing
Analyzing Periodically Occurring Patterns in Time Series
Integrating Structured and Unstructured Patient Data for ICD9 Disease Code Group Prediction
Robust Detection of Network Intrusion using Tree-based Convolutional Neural Networks
Proceedings of the 13th International Conference on Management of Data, December 14-16, 2006, Delhi, India
BaSE(Byte addressable Storage Engine) Transaction Manager
A Multi-Agent Reinforcement Learning Approach for Stock Portfolio Allocation
Fair and efficient route recommendation system for ridesharing platforms
Towards Continuous Respiration Monitoring Using Mask
How to Model Highly Variable Data in a Complex Object Data Model
A Scalable Replica Management Method in Peer-to-Peer Distributed Storage Systems
Akshaya: A Framework for Mining General Knowledge Semantics From Unstructured Text
Decision Support Queries: A solved problem?
Designing a Vision Transformer based Enhanced Text Extractor for Product Images
Time Series Forecasting through Clustering - A Case Study
Online domain adaptation by exploiting labeled features and pro-active learning
Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language
Cloud Computing at Yahoo!
Paradigm shift in Nutritional Science: Using Machine Learning to Predict Macronutrient Requirements
Real-time Anomaly Prediction at Scale using Anomaly Detection Augmented with Regression
A Benchmark for OWL 2 DL Reasoners
Predicting drum beats from high-density Brain Rhythms
Concept Driven Search and Visualization System for Exploring Scientific Repositories
REBOM: Recovery of Blocks of Missing Values in Time Series
Big Data: From Querying to Transaction Processing
Fusion of Intrinsic & Extrinsic Sentential Traits for Text Coherence Assessment
Reverse Dictionary Using an Improved CBoW Model
Machine Learning and Convolution Neural Network based Trace Identification of Pesticides and Dye Mixtures from Raman Spectra
Time Series Representation Learning with Contrastive Triplet Selection
Proceedings of the 14th International Conference on Management of Data, December 17-19, 2008, IIT Bombay, Mumbai, India
Addressing Internal Consistency with Multidimensional Conditional Functional Dependencies
The Sublinear Approach to Big Data Problems
A Resource Adaptive Secure Aggregation Protocol for Federated Learning based Urban Sensing Systems
Genealogical Tree Construction of Research Paper
8th International Conference on Management of Data, COMAD 1997), Chennai (Madras), INDIA, 18-20 December 1997. Sponsored by Computer Society of India, Theme: Internet And Databases
Analysis and Modeling of Evolving Database-centric Web Applications
Towards Building a Flexible Online Learning Model for Data Stream Classification
ForeCal: Random Forest-based Calibration for DNNs
Exploratory Data Analysis Using Alternating Covers of Rules and Exceptions
A workload-driven approach for automatic schema generation for document stores
BasisGraph: Combining Storage and Structure Index for Similarity Search in Graph DB
Feedback based real time facial and head gesture recognition for e-learning system
Mitotic v/s non-mitotic HEp-2 cells classification for CAD based auto-immune disorder detection: a study using CNN
Machine Learning based Batching Prediction System for Food Delivery
A Novel Query-Based Approach for Addressing Summarizability Issues in XOLAP
Uncertainty and Inconsistency in Relational Databases
CNN-based Context Sensitive Lemmatization
Few-Shot Learning based Anomaly Detection in Security Applications
A Qualitative Approach for the Design of Distributed Object Oriented Databases
Improving search relevance in a hyperlocal food delivery using language models
End-to-end Machine Learning using Kubeflow
Entity Ranking and Relationship Queries using an Extended Graph Model
Cognate Identification to improve Phylogenetic trees for Indian Languages
Front Matter and Table of Contents
Entity Mining at Microsoft Bing
HyPSo: Hybrid Partitioning for Big RDF Storage and Query Processing
Big Data Technologies circa 2012
Co-Clustering Triples from Open Information Extraction
Epsilon Equitable Partition: On Scheduling Data Loading and View Maintenance in Soft Real-time Data Warehouses
Algorithmic Recourse based on User's Feature-order Preference
Semantic and Structure Based XML Similarity: The XS3 Prototype
Learning-based Declarative Query Optimization
A System for Analysis, Visualization and Retrieval of Crime Documents
Network based mechanisms for competitive crowdsourcing
HyperGraph based Imbalance Multi-label Classification with Label Specific Features
Relevant Article Recommendation by Learning Heterogeneous Network Embedding using GNN
RUEvaL20: Improving Rumour Detection on Social Media using a Deep Convolutional Neural Network
Tutorial: Exploring Interaction Networks for Services Industry
Bayesian Generative Adversarial Nets with Dropout Inference
Genicious: Contextual Few-shot Prompting for Insights Discovery
Local Linearity and Double Descent in Catastrophic Overfitting
Drift-aware Neural Hawkes Process for Time-to-Event Modelling
Records Retention: Addressing Insider Threats to Data Integrity
Anomaly Detection In Labeled Data
Techniques for Privacy-Preserving Data Aggregation in an Untrusted Distributed Environment
SciPred: An end to end approach to classify predatory journals
Can Siamese Networks help in stance detection?
Inferring customer occupancy status in for-hire vehicles using PU Learning
Understanding the Political Inclination of WhatsApp Chats
Similarity search of time series trajectories based on shape
Topic Influence Graph Based Analysis of Seminal Papers
A Closer look at Consistency Regularization for Semi-Supervised Learning
Event Uncertainty using Ensemble Neural Hawkes Process
Deep Tractable Probabilistic Models
Text Authorship Attribution: Stylometric Insights into Human and LLM-Generated Text
Digging up the Dirt on User Generated Content Consumption
Intelligent Question Answering using Knowledge Representation for Managed Services