Pankaj Malhotra
According to our database1,
Pankaj Malhotra
authored at least 35 papers
between 2008 and 2024.
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Bibliography
2024
CoRR, 2024
UniDEC : Unified Dual Encoder and Classifier Training for Extreme Multi-Label Classification.
CoRR, 2024
2022
CoRR, 2022
CoRR, 2022
2021
CoRR, 2021
Proceedings of the ISEC 2021: 14th Innovations in Software Engineering Conference, 2021
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models.
Proceedings of the International Joint Conference on Neural Networks, 2021
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions.
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
J. Heal. Informatics Res., 2020
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation.
CoRR, 2020
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation.
CoRR, 2020
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020
2019
CoRR, 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models.
CoRR, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019
Fusing Features based on Signal Properties and TimeNet for Time Series Classification.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018
Online anomaly detection with concept drift adaptation using recurrent neural networks.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018
2017
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks.
CoRR, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
CoRR, 2016
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder.
CoRR, 2016
2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
Proceedings of the 17th International Conference on Information Fusion, 2014
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014
2013
Proceedings of the IEEE International Congress on Big Data, 2013
2008
A Neural Network For Prognosis of Chronic Myeloid Leukemia.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008