347 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indian Institute of Technology BombayIN6 papers
- Indian Institute of Technology MadrasIN6 papers
- Birla Institute of Technology and Science, PilaniIN4 papers
- Indian Institute of Science BangaloreIN4 papers
- Indian Institute of Technology GandhinagarIN4 papers
- Indian Statistical InstituteIN4 papers
- University of Maryland, College ParkUS4 papers
- Carnegie Mellon UniversityUS3 papers
- Indian Institute of Science Education and Research PuneIN3 papers
- Indian Institute of Technology KharagpurIN3 papers
- Indraprastha Institute of Information Technology DelhiIN3 papers
- International Institute of Information Technology, HyderabadIN3 papers
5 papers · 2 filters
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!
Vedant Shah, Gautam Shroff
Deep-learning techniques have been successfully used for time-series forecasting and have often shown superior performance on many standard benchmark datasets as compared to tradit…
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Somjit Nath, Mayank Baranwal, Harshad Khadilkar
Several real-world scenarios, such as remote control and sensing, are comprised of action and observation delays. The presence of delays degrades the performance of reinforcement l…
A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios
Ayush Tripathi, Rupayan Chakraborty, Sunil Kumar Kopparapu
Imbalance in the proportion of training samples belonging to different classes often poses performance degradation of conventional classifiers. This is primarily due to the tendenc…
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series
Pradeep Rathore, Arghya Basak, Sri Harsha Nistala +1
Deep learning based models are vulnerable to adversarial attacks. These attacks can be much more harmful in case of targeted attacks, where an attacker tries not only to fool the d…
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis
Soma Bandyopadhyay, Anish Datta, Arpan Pal
Getting a robust time-series clustering with best choice of distance measure and appropriate representation is always a challenge. We propose a novel mechanism to identify the clus…