Pankaj Malhotra

发表

Approximate Incremental Big-Data Harmonization

Gautam Shroff, Puneet Agarwal, Pankaj Malhotra, 2013, 2013 IEEE International Congress on Big Data.

TimeNet: Pre-trained deep recurrent neural network for time series classification pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017, ESANN.

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2016, ArXiv.

Incremental Entity Resolution from Linked Documents pdf

Gautam Shroff, Puneet Agarwal, Pankaj Malhotra, 2014, ArXiv.

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2019, Journal of Healthcare Informatics Research.

Long Short Term Memory Networks for Anomaly Detection in Time Series

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2015, ESANN.

Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, AAAI.

Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN

Diksha Garg, Priyanka Gupta, Lovekesh Vig, 2019, SIGIR.

Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017, International Journal of Prognostics and Health Management.

On Practical Aspects of Using RNNs for Fault Detection in Sparsely-labeled Multi-sensor Time Series

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .

Incremental entity fusion from linked documents

Gautam Shroff, Puneet Agarwal, Pankaj Malhotra, 2014, 17th International Conference on Information Fusion (FUSION).

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks pdf

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2018, ArXiv.

Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder pdf

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2016, ArXiv.

ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Recurrent Neural Networks for Online Remaining Useful Life Estimation in Ion Mill Etching System

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .

ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines pdf

Lovekesh Vig, Mohit Yadav, Gautam Shroff, 2016, ArXiv.

Meta-Learning for Few-Shot Time Series Classification

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, COMAD/CODS.

Graph-Parallel Entity Resolution using LSH & IMM

Gautam Shroff, Puneet Agarwal, Pankaj Malhotra, 2014, EDBT/ICDT Workshops.

Recurrent Neural Networks for Online Remaining Useful Life Estimation in Ion Mill Etching System

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .

NISER: Normalized Item and Session Representations with Graph Neural Networks pdf

Diksha Garg, Priyanka Gupta, Lovekesh Vig, 2019, ArXiv.

Meta-Learning for Black-box Optimization

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2019, ECML/PKDD.

A Neural Network For Prognosis of Chronic Myeloid Leukemia

Pankaj Malhotra, V. Rihani, Parkhi Sharma, 2008, IC-AI.

Using Features From Pre-trained TimeNET For Clinical Predictions

Priyanka Gupta, Lovekesh Vig, Gautam Shroff, 2018, KDH@IJCAI.

On Practical Aspects of Using RNNs for Fault Detection in Sparsely-labeled Multi-sensor Time Series

Lovekesh Vig, Puneet Agarwal, Pankaj Malhotra, 2018, Annual Conference of the PHM Society.

Online anomaly detection with concept drift adaptation using recurrent neural networks

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2018, COMAD/CODS.

Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models pdf

Diksha Garg, Lovekesh Vig, Gautam Shroff, 2019, International Journal of Prognostics and Health Management.

CauSeR: Causal Session-based Recommendations for Handling Popularity Bias

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2021, CIKM.

Systematic Generalization for Predictive Control in Multivariate Time Series pdf

Pankaj Malhotra, Gantavya Bhatt, Hritik Bansal, 2021, ArXiv.

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models

Pankaj Malhotra, Gantavya Bhatt, Hritik Bansal, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Re-Imagining data analytics software development

Vinay Kulkarni, Pankaj Malhotra, Asha Rajbhoj, 2021, ISEC.

Bayesian Networks for Interpretable Health Monitoring of Complex Systems

Lovekesh Vig, Gautam Shroff, Puneet Agarwal, 2017 .

Sparse Neural Networks for Anomaly Detection in High-Dimensional Time Series

Lovekesh Vig, Gautam Shroff, Pankaj Malhotra, 2018 .