Angshul Majumdar

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 232

Top Venues

Publications

Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework. Signal Process. 224 (2024)
Shalini Sharma, Angshul Majumdar
Corrigendum to "Deep state-space model for predicting cryptocurrency price" [Inform. Sci. 618 (2022) 417-433]. Inf. Sci. 660 (2024)
Anurag Goel, Angshul Majumdar
Sparse subspace clustering incorporated deep convolutional transform learning for hyperspectral band selection. Earth Sci. Informatics 17 (3) (2024)
Anurag Goel, Angshul Majumdar
Contrastive deep convolutional transform k-means clustering. Inf. Sci. 661 (2024)
Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
Unsupervised Domain Adaptation via Subspace Interpolating Deep Dictionary Learning: A Case Study in Machine Inspection. ICASSP (2023)
Davide Cozzolino, Koki Nagano, Lucas A. Thomaz, Angshul Majumdar, Luisa Verdoliva
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 40 (7) (2023)
Davide Salvi, Clara Borrelli, Paolo Bestagini, Fabio Antonacci, Matthew C. Stamm, Lucio Marcenaro, Angshul Majumdar
Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 40 (6) (2023)
Pooja Gupta, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. Expert Syst. Appl. 227 (2023)
Davide Cozzolino, Koki Nagano, Lucas A. Thomaz, Angshul Majumdar, Luisa Verdoliva
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition. CoRR (2023)
Jyoti Maggu, Angshul Majumdar
Kernelized transformed subspace clustering with geometric weights for non-linear manifolds. Neurocomputing 520 (2023)
Shalini Sharma, Angshul Majumdar, Émilie Chouzenoux, Victor Elvira
Deep State-Space Model for Predicting Cryptocurrency Price. CoRR (2023)
Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
Transform Based Subspace Interpolation for Unsupervised Domain Adaptation Applied to Machine Inspection. EUSIPCO (2023)
Stuti Jain, Émilie Chouzenoux, Kriti Kumar, Angshul Majumdar
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Saurabh Sahu, Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra
Label-Consistent Convolutional Dictionary Learning for Machine Inspection. EUSIPCO (2023)
Naibedya Pattnaik, Uday Sai Vemula, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, M. Girish Chandra, Arpan Pal
CycleGAN Based Unsupervised Domain Adaptation for Machine Fault Diagnosis. SenSys (2022)
Kriti Kumar, Angshul Majumdar, M. Girish Chandra
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. ICDM (Workshops) (2022)
Shikha Singh, Émilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Shikha Singh, Angshul Majumdar
Multi-Label Deep Blind Compressed Sensing for Low-Frequency Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 13 (1) (2022)
Aanchal Mongia, Émilie Chouzenoux, Angshul Majumdar
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
K. Aditi, Achanna Anil Kumar, Angshul Majumdar, R. Krishna Kanth, Tapas Chakravarty, Kriti Kumar, Arpan Pal
Phaseless FMCW Multistatic Radar. IEEE SENSORS (2022)
Anurag Goel, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Deep Convolutional K-Means Clustering. ICIP (2022)
R. Krishna Kanth, Andrew Gigie, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, Balamuralidhar P
Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning. EUSIPCO (2022)
Shalini Sharma, Angshul Majumdar
Deep state space model for predicting cryptocurrency price. Inf. Sci. 618 (2022)
Stuti Jain, Émilie Chouzenoux, Kriti Kumar, Angshul Majumdar
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. CoRR (2022)
Anurag Goel, Angshul Majumdar
K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Angshul Majumdar
Disaggregating a New Appliance On-the-Fly Without Data Acquisition and Retraining. IEEE Trans. Instrum. Meas. 71 (2022)
Shikha Singh, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. ICIP (2022)
Angshul Majumdar
Solving inverse problems with autoencoders on learnt graphs. Signal Process. 190 (2022)
K. Aditi, Achanna Anil Kumar, Angshul Majumdar, Tapas Chakravarty, Kriti Kumar
Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow. EUSIPCO (2022)
Angshul Majumdar
Iterative Re-weighted Least Squares Algorithms for Non-negative Sparse and Group-sparse Recovery. ICASSP (2022)
Anurag Goel, Angshul Majumdar
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Jyoti Maggu, Shalini Sharma, Angshul Majumdar
Transductive Inversion via Deep Transform Learning. EUSIPCO (2022)
Aanchal Mongia, Stuti Jain, Émilie Chouzenoux, Angshul Majumdar
DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19. J. Comput. Biol. 29 (5) (2022)
Angshul Majumdar
Trainingless Energy Disaggregation Without Plug-Level Sensing. IEEE Trans. Instrum. Meas. 71 (2022)
Divyanshu Talwar, Aanchal Mongia, Émilie Chouzenoux, Angshul Majumdar
Binary matrix completion on graphs: Application to collaborative filtering. Digit. Signal Process. 122 (2022)
Priyadarshini Rai, Debarka Sengupta, Angshul Majumdar
SelfE: Gene Selection via Self-Expression for Single-Cell Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Ishan Sahu, Arpan Pal, Arijit Ukil, Angshul Majumdar
Compressing Deep Neural Network: A Black-Box System Identification Approach. IJCNN (2021)
Angshul Majumdar
Kernelized Linear Autoencoder. Neural Process. Lett. 53 (2) (2021)
Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux
Transformed Subspace Clustering. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Andrew Gigie, Achanna Anil Kumar, Angshul Majumdar, Kriti Kumar, M. Girish Chandra
Joint Coupled Transform Learning Framework for Multimodal Image Super-Resolution. ICASSP (2021)
Arup Kumar Das, Kriti Kumar, Angshul Majumdar, Saurabh Sahu, M. Girish Chandra
Multi-Sensor Fusion Framework using Discriminative Autoencoders. EUSIPCO (2021)
Kriti Kumar, Saurabh Sahu, Angshul Majumdar, M. Girish Chandra
AutoFuse: A Semi-supervised Autoencoder based Multi-Sensor Fusion Framework. IJCNN (2021)
Shalini Sharma, Angshul Majumdar
Sequential Transform Learning. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Anurag Goel, Angshul Majumdar
Transformed K-means Clustering. EUSIPCO (2021)
Aanchal Mongia, Angshul Majumdar
Matrix completion on learnt graphs: Application to collaborative filtering. Expert Syst. Appl. 185 (2021)
Anurag Goel, Angshul Majumdar
Transformed K-means Clustering. CoRR (2021)
Arijit Ukil, Ishan Sahu, Angshul Majumdar, Sai Chander Racha, Gitesh Kulkarni, Anirban Dutta Choudhury, Sundeep Khandelwal, Avik Ghose, Arpan Pal
Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices. EMBC (2021)
Pooja Gupta, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. Expert Syst. Appl. 169 (2021)
Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Émilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. KDD (2021)
Shalini Sharma, Víctor Elvira, Émilie Chouzenoux, Angshul Majumdar
Recurrent dictionary learning for state-space models with an application in stock forecasting. Neurocomputing 450 (2021)
Anurag Goel, Angshul Majumdar
Clustering Friendly Dictionary Learning. ICONIP (1) (2021)
Anurag Goel, Angshul Majumdar
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification. CoRR (2021)
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework. CoRR (2020)
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. CoRR (2020)
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. EUSIPCO (2020)
Aanchal Mongia, Debarka Sengupta, Angshul Majumdar
deepMc: Deep Matrix Completion for Imputation of Single-Cell RNA-seq Data. J. Comput. Biol. 27 (7) (2020)
Vanika Singhal, Angshul Majumdar
Reconstructing multi-echo magnetic resonance images via structured deep dictionary learning. Neurocomputing 408 (2020)
Aanchal Mongia, Vidit Jain, Angshul Majumdar
Deep Matrix Factorization on Graphs: Application to Collaborative Filtering. ICONIP (4) (2020)
Priyadarshini Rai, Angshul Majumdar, Debarka Sengupta
Cluster Aware Deep Dictionary Learning for Single Cell Analysis. ICONIP (5) (2020)
Aanchal Mongia, Angshul Majumdar
Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. ICASSP (2020)
Aanchal Mongia, Neha Jhamb, Émilie Chouzenoux, Angshul Majumdar
Deep latent factor model for collaborative filtering. Signal Process. 169 (2020)
Aanchal Mongia, Stuti Jain, Émilie Chouzenoux, Angshul Majumdar
DeepVir - Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19. CoRR (2020)
Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Deep Convolutional Transform Learning - Extended version. CoRR (2020)
Anupriya Gogna, Angshul Majumdar
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework. CoRR (2020)
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
DeConFuse: a deep convolutional transform-based unsupervised fusion framework. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Vanika Singhal, Angshul Majumdar
A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning. Pattern Recognit. 100 (2020)
Saurabh Sahu, Kriti Kumar, Angshul Majumdar, M. Girish Chandra
Deep Transform Learning for Multi-Sensor Fusion. EUSIPCO (2020)
Shikha Singh, Angshul Majumdar
Non-Intrusive Load Monitoring via Multi-Label Sparse Representation-Based Classification. IEEE Trans. Smart Grid 11 (2) (2020)
Angshul Majumdar
Graph transform learning. Neural Networks 128 (2020)
Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Deep Convolutional Transform Learning. ICONIP (5) (2020)
Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar
Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices. ICASSP (2020)
Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Deeply transformed subspace clustering. Signal Process. 174 (2020)
Shikha Singh, Angshul Majumdar, Stephen Makonin
Compressive Non-Intrusive Load Monitoring. BuildSys@SenSys (2020)
Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra
Multi-Label Auto-Encoder based Electrical Load Disaggregation. IJCNN (2020)
Shikha Singh, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. ICASSP (2020)
Pooja Gupta, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems. CoRR (2020)
Anupriya Gogna, Angshul Majumdar
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition. Neural Process. Lett. 49 (3) (2019)
Aanchal Mongia, Angshul Majumdar
Matrix completion on multiple graphs: Application in collaborative filtering. Signal Process. 165 (2019)
Shikha Singh, Angshul Majumdar
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification. CoRR (2019)
Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux
Transformed Subspace Clustering. CoRR (2019)
Shikha Singh, Angshul Majumdar
Deep Sparse Coding for Non-Intrusive Load Monitoring. CoRR (2019)
Kriti Kumar, Angshul Majumdar, M. Girish Chandra, Achanna Anil Kumar
Transform Learning Based Function Approximation for Regression and Forecasting. AALTD@PKDD/ECML (2019)
Sagar Verma, Shikha Singh, Angshul Majumdar
Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring. ICASSP (2019)
Aanchal Mongia, Vidit Jain, Émilie Chouzenoux, Angshul Majumdar
Deep Latent Factor Model for Predicting Drug Target Interactions. ICASSP (2019)
Janki Mehta, Angshul Majumdar
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction. CoRR (2019)
Jyoti Maggu, Angshul Majumdar
Kernel Transform Learning. CoRR (2019)
Vanika Singhal, Angshul Majumdar
Age and Gender Estimation via Deep Dictionary Learning Regression. IJCNN (2019)
Aanchal Mongia, Neha Jhamb, Émilie Chouzenoux, Angshul Majumdar
Deep Latent Factor Model for Collaborative Filtering. CoRR (2019)
Jyoti Maggu, Angshul Majumdar
Supervised Kernel Transform Learning. IJCNN (2019)
Angshul Majumdar
Blind Denoising Autoencoder. CoRR (2019)
Vanika Singhal, Angshul Majumdar, Mayank Vatsa, Richa Singh
Siamese Deep Dictionary Learning. IJCNN (2019)
Jyoti Maggu, Hemant Kumar Aggarwal, Angshul Majumdar
Label-Consistent Transform Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16 (9) (2019)
Vanika Singhal, Jyoti Maggu, Angshul Majumdar
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning. CoRR (2019)
Vanika Singhal, Hemant Kumar Aggarwal, Snigdha Tariyal, Angshul Majumdar
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification. CoRR (2019)
Angshul Majumdar
Deeply Coupled Graph Structured Autoencoder for Domain Adaptation. COMAD/CODS (2019)
Jyoti Maggu, Prerna Singh, Angshul Majumdar
Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis. CoRR (2019)
Shikha Singh, Angshul Majumdar
Analysis Co-Sparse Coding for Energy Disaggregation. IEEE Trans. Smart Grid 10 (1) (2019)
D. John Lewis, Vanika Singhal, Angshul Majumdar
Solving Inverse Problems in Imaging via Deep Dictionary Learning. IEEE Access 7 (2019)
Angshul Majumdar
Blind Denoising Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 30 (1) (2019)
Angshul Majumdar, Megha Gupta
Recurrent transform learning. Neural Networks 118 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Angshul Majumdar