Jan 19–20, 2022 · Virtual (planned for Bangalore), Online
MLDS 2022 agenda
Every session from MLDS 2022 (online edition): 49 sessions across 2 days, with times and speakers.
Jan 19–20, 2022 · Virtual (planned for Bangalore), Online
All 49 sessions
- Days
- 2
- Sessions
- 49
- Excluding breaks
- Hall
- 1
- Speakers with a profile
- 50
49 sessions across 2 days.
Day 1 Wednesday 19 January 2022
to 10:00
Hall 1Talk45 min
Deep Learning on Graph Structured Data : Models and Applications
to 10:20
Hall 1Paper20 min
Thermal Occlusion Synthesis (TOS)
to 10:45
Hall 1Talk40 min
Move over ML, It’s Time for XL
to 10:45
Hall 1Paper20 min
Baseline Sales Prediction Using Linear Regression on Retail Big Data
to 11:10
Hall 1Paper20 min
An Ensemble Model for Face Liveness Detection
to 11:20
Hall 1Talk30 min
Oracle Cloud AI and Data Services
to 11:35
Hall 1Paper20 min
Introducing Inclusive Construct Label-Centric Approach for Model Performance Enhancement in Autonomous Vehicles
to 11:55
Hall 1Talk30 min
Delivering Analytics at scale for the End to End business chain of clients
to 12:00
Hall 1Paper20 min
Predicting incremental sales in personalised marketing campaigns with Netlift science
to 12:30
Hall 1Talk30 min
Quantum Machine Learning
to 13:05
Hall 1Talk30 min
The 3 Building Blocks of Accessible AI
to 13:20
Hall 1Paper20 min
Driving towards building high performance Analytics Team: Strategic View
to 13:30
Hall 1Talk20 min
Walkthrough of Tredence Studio - How Co-Innovation is Changing Enterprise AI
to 14:15
Lunch
to 13:45
Hall 1Paper20 min
ADDS - Attention-based Detection and Trajectory Prediction in Counter-Drone Systems
to 14:10
Hall 1Paper20 min
Leveraging AI for unlocking cross- sell growth in B2B SAAS Industry
to 14:35
Hall 1Paper20 min
A practical approach to enhance user engagement by optimizing time to market in mobile advertisement
to 14:50
Hall 1Talk30 min
New developments in Deep Learning for unlikely industries
to 15:25
Hall 1Talk30 min
Propensity Model as a service
to 17:00
Hall 1Workshop2 h
Deciphering Responsible AI: A hands-on walkthrough
to 16:00
Hall 1Talk30 min
Hardware Accelerators in the World of Perception AI
to 16:35
Hall 1Talk30 min
Emergence of Data Products
to 17:45
Hall 1Talk30 min
Demystifying Transformers for Natural Language Processing
to 19:00
Hall 1Awards1 h
40 Under 40 Data Scientists Awards
Day 2 Thursday 20 January 2022
to 12:00
Hall 1Workshop2 h
Learn Analytics and Machine Learning with Red Bull Racing
to 10:45
Hall 1Talk30 min
Will evolving regulations stymie AI innovations? What the future holds?
to 11:20
Hall 1Talk30 min
Augmentation personal Finance with AI
to 11:55
Hall 1Talk30 min
Operations Research (OR): A Data Science (DS) Branch Often Not Prioritized
to 12:30
Hall 1Talk30 min
Emerging Business Opportunities Forecasting using Pattern Matching
to 12:25
Hall 1Paper20 min
SEAD: Simple Ensemble and Knowledge Distillation Framework for Natural Language Understanding
to 12:50
Hall 1Paper20 min
Building Probabilistic and Isolated Learning models on Differentially private data for Campaign Optimisation in Programmatic setting
to 13:05
Hall 1Talk30 min
Simulation-driven Machine Learning
to 13:15
Hall 1Paper20 min
Forecasting of Recently Launched Products using ML and DL techniques across multiple methodologies
to 14:15
Lunch
to 13:40
Hall 1Paper20 min
AI Powered Forecasting for Workforce Management
to 14:05
Hall 1Paper20 min
Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust Models
to 14:50
Hall 1Talk30 min
Machine Learning enhancing Customer Experience
to 14:55
Hall 1Paper20 min
Blended Document Similarity based on Text & Image Features
to 15:25
Hall 1Talk30 min
NLP approach for handling long tail in customer feedback classification
to 15:20
Hall 1Paper20 min
Temporal Graph Neural Network based Approach to Identify Safety Signals for Pharmacovigilance Analytics
to 15:45
Hall 1Paper20 min
Credit Card Fraud Detection using Feature Engineering and Machine Learning
to 16:00
Hall 1Talk30 min
Better relevant search or Search Relevance using reinforcement learning
to 16:10
Hall 1Paper20 min
Delivery Issues Identification from Customer Feedback Data
to 16:35
Hall 1Talk30 min
ML in the Metaverse: Opportunities Ahead
to 16:35
Hall 1Paper20 min
Application of Machine Learning to Identify Health and safety risks in Construction industry
to 17:00
Hall 1Paper20 min
Information Preserving Frame-based Image Interpretation
to 17:10
Hall 1Talk30 min
The often ignored reality of Model Performance
to 17:25
Hall 1Paper20 min
Prediction of Stroke possibilities using various Classification Models
to 17:45
Hall 1Talk30 min
Think @ Scale
to 17:50
Hall 1Paper20 min
Machine Learning Implementations Scrutinized With A Process Re-engineering Lens
to 18:15
Hall 1Paper20 min
Geo-contextual TV Consumption Patterns using Unsupervised Learning methods
Agenda archive
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