default search action
28th COMAD / 10th CODS 2023: Mumbai, India
- 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. ACM 2023, ISBN 978-1-4503-9797-1
Research Track - Machine Learning
- Santhosh B. Gandreti
, P. S. Sastry
Efficient Depth-First Search Approach for Mining Injective General Episodes. 1-9 - Surgan Jandial
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. 10-18 - Sahel Mohammad Iqbal
Neural Networks at a Fraction with Pruned Quaternions. 19-27 - Amit Chandak
Gradient Perturbation-based Efficient Deep Ensembles. 28-36
Research Track - Language and Retrieval
- Dwijesh Gohil
LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval. 37-46 - Vikanksh Nath
Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question Answering. 47-54 - Tejpalsingh Siledar
Aspect-Sentiment-based Opinion Summarization using Multiple Information Sources. 55-61 - Manish Singh
BRR-QA: Boosting Ranking and Reading in Open-Domain Question Answering. 62-69
Research Track - Data and Knowledge Management
- Nandini Ramanan
Active Feature Acquisition via Human Interaction in Relational domains. 70-78 - Jayadev Naram
Generalized Structured Low-Rank Tensor Learning. 79-86 - Garima Gaur
Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. 87-94 - Akshay Gupta
Solving age-word problems using domain ontology and BERT. 95-103
Research Track (Short Papers) - Machine Learning
- Sairam Utukuru
Missing Data Resilient Ensemble Subspace Decision Tree Classifier. 104-107 - Harshad Khadilkar
Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning. 108-112 - Furqan Ahmed Shaik
Accelerating Computer Vision Tasks on GPUs using Ramanujan Graph Product Framework. 113-117 - Avirup Saha
Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior. 118-122
Research Track (Short Paper) - Language and Retrieval
- Anuj Khare
Surface Name Errors in Wikipedia. 123-127
Research Track (Short Paper) - Data and Knowledge Management
- Sandeep Hans
Explainable Data Imputation using Constraints. 128-132
Research Track - Poster
- Neha Bansal
A workload-driven approach for automatic schema generation for document stores. 133 - Samruddhi Deshmukh
Robust Covariance Matrix Estimation using Random Matrix Theory. 134 - Sparsh Gupta
A Resource Adaptive Secure Aggregation Protocol for Federated Learning based Urban Sensing Systems. 135 - Puja Banerjee
Machine versus Human Attention: A comparative study of different transfer learning models. 136 - Uma Priya D
Extracting Schema Variants from JSON Collections using JSVTree. 137 - Shubham Jain
Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation. 138 - Akshay Parekh
Relation Classification Model Performance as a Function of Dataset Label Noise. 139
Applied Data Science Track - Computer Vision
- Abhinav Upadhyay
FloorGAN: Generative Network for Automated Floor Layout Generation. 140-148
Applied Data Science Track - Time Series
- Vijay Arya
Global Explanations for Multivariate time series models. 149-157
Applied Data Science Track - Information Extraction
- Surya Teja Tunuguntla
Customer Informatics by Embedding SMS Headers. 158-166 - Roy Bar-Haim
Towards Automated Assessment of Organizational Cybersecurity Posture in Cloud. 167-175
Applied Data Science Track - Learning and Optimization
- Pranavi Pathakota
Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce. 176-184 - Ajay Narayanan
Agent-based Learning Approach to Electric Vehicle Routing Problem with Vehicle-to-Grid Supply and Battery Swapping. 185-193
Applied Data Science Track - Machine Learning
- Balamurali A R
Paradigm shift in Nutritional Science: Using Machine Learning to Predict Macronutrient Requirements. 194-202
Applied Data Science Track (Short Papers) - Computer Vision
- Petchiammal A
Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. 203-207 - Saptarshi Misra
Designing a Vision Transformer based Enhanced Text Extractor for Product Images. 208-212 - Anand Subramanian
A robust section identification method for scanned electronic health records. 213-217 - Bharath Sripathy
BUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells. 218-222 - Prateek Chhikara
DIGITOUR: Automatic Digital Tours for Real-Estate Properties. 223-227
Applied Data Science Track (Short Papers) - Time Series
- Manisha Dubey
Event Uncertainty using Ensemble Neural Hawkes Process. 228-232 - Meet Maheshwari
A Dynamic Attention Based Graph Neural Network for Anomaly Prediction in Multi-Variate Time-Series & Its Application in Network Monitoring. 233-237
Applied Data Science Track (Short Paper) - Information Extraction
- Tanuj Sur
Mathematical Expressions in Software Engineering Artifacts. 238-242
Applied Data Science Track (Short Paper) - Machine Learning
- Spurthy Maria Pais
Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning. 243-247
Demonstration Track
- Sukriti Jaitly
xEM: Explainable Entity Matching in Customer 360. 248-252 - Badal Gupta
RE-RentFraud: A System to detect Frauds in rent payments for Real-Estate properties. 253-257 - Sohom Ghosh
FLUEnT: Financial Language Understandability Enhancement Toolkit. 258-262 - Ayush Maheshwari
UDAAN - Machine Learning based Post-Editing tool for Document Translation. 263-267 - Chandrashekar Ramanathan
TSAPI: Enhancing Existing OLTP Databases with Temporal Query Capabilities for Analytics. 268-271
Young Researchers' Symposium
- Vridhi Rohira
Automatic Epilepsy Detection from EEG signals. 272-273 - Basant Pandagre
Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic? 274-275 - Seshu Kumar Damarla
Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN. 276-277 - Aadesh Desai
Deep Gaussian Processes for Air Quality Inference. 278-279 - Venkat Suprabath Bitra
Machine Learning and Convolution Neural Network based Trace Identification of Pesticides and Dye Mixtures from Raman Spectra. 280-281 - Shriraj Pramod Sawant
Understanding catastrophic forgetting for adaptive deep learning. 282-283 - Indu Rodda
Visualization of the Dynamics in Character Networks using Social Network Analysis. 284-285 - Snehkumar Shahani
Techniques for Privacy-Preserving Data Aggregation in an Untrusted Distributed Environment. 286-287 - Jyotirmaya Shivottam
DeepHalo - Finding Dark Matter Halo Substructure Using Deep Learning. 288 - Suresh Kumar
Using domain ontology to identify consistent and inconsistent cases from LSTM-generated transfer type AWPs. 289-290 - Shivam Chaudhary
Predicting drum beats from high-density Brain Rhythms. 291-292 - Manan Singh
Algorithmic Recourse based on User's Feature-order Preference. 293-294 - Shruti Sureshan
Few-Shot Learning based Anomaly Detection in Security Applications. 295-296 - Alessandro Temperoni
Efficient Hessian-based DNN Optimization via Chain-Rule Approximation. 297-298 - Armaan Garg
Addressing Data Intrinsic Characteristics for Augmentation for Breast Cancer Classification. 299-300 - Sohom Ghosh
Using Natural Language Processing to Enhance Understandability of Financial Texts. 301-302 - Nidhi Goyal, Radhika Mamidi
Warning: It's a scam!! Towards understanding the Employment Scams using Knowledge Graphs. 303-304
Tutorials
- Jagdish Chakole
Tutorial on Automated Trading using API. 305-307 - Bihu Suchetana
Promoting Sustainable Water Usage and Management With Water Data, AI and Policy. 308-311 - Kavya Ranjan Saxena
Tutorial on understanding meta-learning for fast adaptation. 312-315 - Alpana Dubey
AI for Immersive Metaverse Experience. 316-319 - Jack G. Conrad, Shirsha Ray Chaudhuri
AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & Opportunities. 320-323 - Somedip Karmakar
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. 324-326 - Raghavendra Bhat
DL4HC: Deep Learning for Healthcare. 327-329 - Rajmohan C
Tutorial on Semantic Automation for Data Discovery. 330-334
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-19 22:02 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: