SIGNAL ANALYSIS FOR LARGE SCALE APPLICATIONS

Publications By Area
2020
Pooja Gupta, Angshul Majumdar, E. Chouzenoux and G. Chierchia, SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems , Expert Systems With Applications (accepted).
Rachesh Sharma, Neetesh Pandey, Aanchal Mongia, Shreya Mishra, Angshul Majumdar, Vibhor Kumar, FITs: Forest of imputation trees for recovering true signals in single-cell open chromatin profiles , NAR Genomcs and Bioinformatics (accepted).
S. Sharma, A. Majumdar, Unsupervised Detection of Non-Technical Losses via Recursive Transform Learning , IEEE Transactions on Power Delivery (accepted).
S. Singh, A. Majumdar and S. Makonin, Compressive Non-Intrusive Load Monitoring , BuildSys'20, short paper (accepted).
S. Sharma, A. Majumdar, V. Elvira and E. Chouzenoux, Blind Kalman Filtering for Short-term Load Forecasting , IEEE Transactions on Power Systems (accepted).
P. Rai, D. Sengupta and A. Majumdar, Cluster Aware Deep Dictionary Learning for Single Cell Analysis , ICONIP 2020 (accepted).
J. Maggu, E. Chouzenoux, G. Chierchia and A. Majumdar, Deep Convolutional Transform Learning , ICONIP 2020 (accepted).
A. Mongia and A. Majumdar, Deep Matrix Factorization on Graphs: Application to Collaborative Filtering , ICONIP 2020 (accepted).
P. Rai, D. Sengupta and A. Majumdar, SelfE: Gene Selection via Self Expression for Single-Cell Tata , IEEE Transactions on Computational Biology and Bioinformatics (accepted) (I.F. 2.8).
A. Majumdar, Graph Transform Learning , Neural Networks, Vol. 128, pp. 248-253, 2020. (I.F. 5.7)
P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia, DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework , EURASIP Journal on Advances in Signal Processing (accepted) (1.7)
J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia, Deeply Transformed Subspace Clustering , Signal Processing, Vol. 174, 107628, 2020. (I.F. 4.0)
V. Singhal and A. Majumdar, A domain adaptation approach to solve inverse problems in imaging via coupled deep dictionary learning , Pattern Recognition (accepted), (I.F. 5.9)
A. Mongia and A. Majumdar, Drug-Target Interaction prediction using Multi Graph Regularized Nuclear Norm Minimization , PLOS ONE, vol. 15, no. 1, p.e0226484, 2020. (I.F. 2.7)
V. Singhal and A. Majumdar, Reconstructing Multi-echo Magnetic Resonance Images via Structured Deep Dictionary Learning , Neurocomputing (accepted), (I.F. 4.0)
J. Maggu, A. Majumdar and E. Chouzenoux, Transformed Subspace Clustering , IEEE Transactions on Knowledge and Data Engineering (accepted), (I.F. 4.0)
A. Mongia, N. Jhamb, E. Chouzenoux and A. Majumdar, Deep Latent Factor Model for Collaborative Filtering , Signal Processing, Vol. 169, 107366, 2020 (I.F. 4.0)
A. Mongia, D. Sengupta and A. Majumdar, deepMC: deep Matrix Completion for imputation of single cell RNA-seq data , Journal of Computational Biology (accepted) (I.F. 1.2)
S. Singh and A. Majumdar, Non-intrusive load Monitoring via Multi-label Sparse Representation based Classification , IEEE Transactions on Smart Grids, vol. 11, no. 2, pp. 1799-1801, 2020 (I.F. 10.5)
S. Paresh, N. Thokala, A. Majumdar and M. G. Chandra, Multi-Label Auto-Encoder based Electrical Load Disaggregation , IEEE IJCNN 2020.
A. Mongia and A. Majumdar, Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction , IEEE ICASSP 2020.
S. Singh, J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia, Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring , IEEE ICASSP 2020.
A. Pal, A. Ukil, T. Deb, I. Sahu and A. Majumdar, Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices , IEEE ICASSP 2020.
2019
A. Majumdar and M. Gupta, Recurrent Transform Learning , Neural Networks, vol. 118, pp.271-279, 2019 (I.F. 5.7).
A. Mongia and A. Majumdar, Matrix Completion on Multiple Graphs: Application in Collaborative Filtering , Signal Processing, Vol. 165, pp. 144-148, 2019. (I.F. 4.0).
M. Gaur, S. Makonin, I. V. Bajić and A. Majumdar, Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings , IEEE Access, vol. 7, pp. 62721-62733, 2019 (I.F. 3.5).
J. Maggu, H. Agarwal and A. Majumdar, Label Consistent Transform Learning for Hyperspectral Image Classification , IEEE Geosciences and Remote Sensing Letters, Vol. 16 (9), pp. 1502-1506, 2019 (I.F. 2.9).
A. Mongia, D. Sengupta and A. Majumdar, McImpute: Matrix completion based imputation for single cell RNA-seq , Frontiers in Genetics, Vol. 10, 2019. (I.F. 4.1).
V. Singhal and A. Majumdar, Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11 (12), 5019 – 5028, 2019 (I.F. 2.7).
A. Gogna and A. Majumdar, Discriminative Autoencoder for Feature Extraction: Application to Character Recognition, Neural Processing Letters, Vol. 49 (3), pp 1723–1735, 2019 (I.F. 1.7).
A. Majumdar, Blind Denoising Autoencoder, IEEE Transactions on Neural Networks and Learning Systems, Vol. 30 (1), pp. 312-317, 2019 (I.F. 7.9).
V. Singhal, J. Maggu and A. Majumdar, Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning, IEEE Transactions on Smart Grid, Vol. 10 (3), pp. 2969-2978, 2019 (I.F. 6.6).
S. Singh and A. Majumdar, Analysis Co-Sparse Coding for Energy Disaggregation, IEEE Transactions on Smart Grid, Vol. 10 (1), pp. 462-470, 2019. (I.F. 6.6).
S. Sugavanam, A. A. Gbadebo, M. Kamalian-Kopae, and A. Majumdar, A Compressed Sensing Approach to Fibre Bragg Interrogation , CLEO Europe 2019.
V. Singhal, A. Majumdar, M. Vatsa and R. Singh, Siamese Deep Dictionary Learning , IEEE IJCNN 2019.
V. Singhal and A. Majumdar, Age and Gender Estimation via Deep Dictionary Learning Regression , IEEE IJCNN 2019.
J. Maggu and A. Majumdar, Supervised Kernel Transform Learning , IEEE IJCNN 2019.
A. Mongia, V. Jain, E. Chouzenoux and A. Majumdar,, Deep Latent Factor Model for Predicting Drug Target Interactions , IEEE ICASSP, pp. 1254-1258, 2019.
S. Singh, S. Verma and A. Majumdar, Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring , IEEE ICASSP, pp. 8345-8349, 2019.
A. Majumdar, Deeply Coupled Graph Structured Autoencoder for Domain Adaptation , ACM CODS-COMAD 2019.
2018
A. Majumdar, Compressed Sensing for Engineers, CRC Press, 2018.
M. Vatsa, R. Singh and A. Majumdar, Deep Learning in Biometrics CRC Press, 2018.
D. Talwar, A. Mongia, D. Sengupta and A. Majumdar, AutoImpute: Autoencoder based imputation of single-cell RNA-seq data Nature Scientific Reports, vol. 8, no. 1, pp. 1-11, 2018 (I.F. 4.1).
A. Majumdar, Graph Structured Autoencoder Neural Networks, Vol. 106, pp. 271-280, 2018 (I.F. 7.1).
M. Gupta and A. Majumdar, Disaggregating Transform Learning for Non-Intrusive Load Monitoring IEEE ACCESS, vol. 6, pp. 46256 – 46265, 2018 (I.F. 3.2).
D. J. Lewis, V. Singhal and A. Majumdar, Solving Inverse Problems in Imaging via Deep Dictionary Learning, IEEE Access, Vol. 7, 37039 - 37049 (I.F. 3.2).
A. Majumdar, An Autoencoder Based Formulation for Compressed Sensing Reconstruction, Magnetic Resonance Imaging, Vol. 52, pp. 62-68, 2018 (I.F. 2.5).
J. Maggu, P. Singh and A. Majumdar, Multi-echo Reconstruction from Partial K-space Scans via Adaptively Learnt Basis, Magnetic Resonance Imaging, Vol. 52, pp. 62-68, 2018 (I.F. 2.5).
J. Maggu, E. Chouzenoux, G. Chierchia and A. Majumdar, Convolutional Transform Learning, ICONIP, pp. 162-174, 2018.
J. Maggu and A. Majumdar, Semi-Coupled Transform Learning, ICONIP, pp. 141-150, 2018.
J. Lewis, V. Singhal and A. Majumdar, Adaptive Deep Dictionary Learning for MRI Reconstruction, ICONIP, pp. 3-11, 2018.
J. Maggu, A. Majumdar and E. Chouzenoux, Transformed Locally Linear Manifold Clustering, EUSIPCO, pp. 1057-1061, 2018.
A. Paul, A. Majumdar and D. Mukherjee, Discriminative Autoencoder, IEEE ICIP, pp. 3049 – 3053, 2018.
K. Seemakurthy, J. Gubbi, S. Deshpande, B. Purushothaman and A. Majumdar, Multi-spectral missing label prediction via restoration using deep residual dictionary learning, IEEE IJCNN 2018.
K. Gupta, B. Bhowmick and A. Majumdar, Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals, IEEE IJCNN 2018.
S. Jain and A. Majumdar, Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems, IEEE IJCNN 2018.
M. Gupta and A. Majumdar, Robust Supervised Sparse Coding for Non-Intrusive Load Monitoring, IEEE IJCNN 2018.
S. Maheshwari and A. Majumdar, Hierarchical Autoencoder for Collaborative Filtering, IEEE IJCNN 2018.
V. Singhal and A. Majumdar, Supervised Deep Dictionary Learning for Single Label and Multi-Label Classification, IEEE IJCNN, pp. 1-7, 2018.
S. Viswakarma, S. S. Ram and A. Majumdar, Mitigation of Through-Wall Interference in Radar Images Using Denoising Autoencoders, IEEE RadarCon, 2018.
K. Kumar, A. Majumdar, G. Chandra and A. A. Kumar, Regressing Kernel Dictionary Learning, IEEE ICASSP, 2018.
T. Bose, A. Majumdar and T. Bhattacharya, Machine Load Estimation Via Stacked Autoencoder Regression, IEEE ICASSP, 2018.
J. Maggu and A. Majumdar, Unsupervised Deep Transform Learning, IEEE ICASSP, pp. 6782-6786, 2018.
2017
V. Singhal, A. Majumdar and R. K. Ward, Semi-supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals from Compressive Measurements, IEEE ACCESS, Vol. 6 (1), pp. 545-553. (I.F. 3.2).
K. Gupta and A. Majumdar, Imposing Class-wise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization Neural Processing Letters, (I.F. 1.7).
J. Maggu and A. Majumdar, Kernel Transform Learning, Pattern Recognition Letters, Vol. 117, pp. 117-122, 2017 (I.F. 1.9).
V. Singhal, H. Agrawal, S. Tariyal and A. Majumdar, Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification IEEE Transactions on Geosciences and Remote Sensing, Vol. 55 (9), pp. 5274-5283, 2017. (I.F. 4.9).
A. Gogna and A. Majumdar, Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework, Knowledge Based Systems, Vol. 125, pp. 83-95, 2017. (I.F. 4.5).
S. Singh and A. Majumdar, Deep Sparse Coding for Non-Intrusive Load Monitoring IEEE Transactions on Smart Grid, Vol. 9 (5), pp. 4669 - 4678 (I.F. 6.6).
V. Singal and A. Majumdar, Majorization Minimization Technique for Optimally Solving Deep Dictionary Learning, Neural Processing Letters, pp. 1- 16, 2017, (I.F. 1.7).
I. Manjani, S. Tariyal, M. Vatsa, R. Singh, A. Majumdar, Detecting Silicone Mask based Presentation Attack via Deep Dictionary Learning, IEEE Transactions on Information Forensics and Security, Vol. 12 (7), pp. 1713-1723, 2017 (I.F. 4.3).
A. Majumdar, Causal MRI Reconstruction via Kalman Prediction and Compressed Sensing Correction Magnetic Resonance Imaging, Vol. 39, pp. 64-70, 2017 (I.F. 2.2).
A. Sankaran, M. Vatsa, R. Singh and A. Majumdar, Group Sparse Autoencoder, Image and Vision Computing, Vol. 60, pp. 64-74, 2017 (I.F. 1.7).
M. Gulati, S. S. Ram, A. Majumdar and A. Singh, Single Point Conducted EMI Sensor With Intelligent Inference for Detecting IT Appliances, IEEE Transactions on Smart Grid, Vol. 9 (4), pp. 3716-3726, 2018 (I.F. 6.6).
A. Gogna and A. Majumdar, DiABlO: Optimization based design for improving diversity in recommender system Information Sciences, Vol. 378, pp. 59-74, 2017 (I.F. 4.8).
J. Mehta and A. Majumdar, RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction, Pattern Recognition, Vol. 63, pp. 499-510, 2017 (I.F. 3.3).
A. Majumdar, A. Gogna and R. K. Ward, Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals, IEEE Transactions on Biomedical Engineering, Vol. 64 (9), pp. 2196 – 2205, 2017 (I. F. 2.5).
W Singh, A Shukla, S Deb, A Majumdar, Energy Efficient EEG Acquisition and Reconstruction for a Wireless Body Area Network, Integration, the VLSI Journal, Vol. 58, pp. 295-302, 2017.
A. Majumdar, M. Vatsa and R. Singh, Face Recognition via Class Sparsity based Supervised Encoding IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39 (6), pp. 1273-1280, 1 2017. (I.F. 8.3).
A. Sankaran, G. Goswami, R. Singh, M. Vatsa and A. Majumdar, Class Sparsity Signature based Restricted Boltzmann Machines Pattern Recognition, Vol. 61, pp. 674-685, 2017. (I.F. 3.3).
J. Maggu, R. Hussein, A. Majumdar and R. Ward, Impulse Denoising via Transform Learning IEEE GlobalSIP, pp. 1250-1254, 2017.
P. Singh, R. Hussein, A. Majumdar and R. Ward, Joint-sparse Dictionary Learning: Denoising Multiple Measurement Vectors IEEE GlobalSIP, 2017.
S. Nagpal, M. Singh, R. Singh, M. Vatsa, A. Noore and A. Majumdar, Face Sketch Matching via Coupled Deep Transform Learning IEEE ICCV, 2017.
M. Singh, S. Nagpal, M. Vatsa, R. Singh, A. Noore, and A. Majumdar, Gender and Ethnicity Classification of Iris Images using Deep Class Encoder IEEE IJCB, 2017.
J. Maggu and A. Majumdar, Greedy Deep Transform Learning IEEE ICIP, pp. 1822-1826, 2017.
K. Gupta and A. Majumdar, Learning Autoencoders with Low-Rank Weights IEEE ICIP, 2017.
K. Gupta, B. Biswas and A. Majumdar, Motion Blur Removal via Coupled Autoencoder IEEE ICIP, 2017.
A. Majumdar and R. K. Ward, Robust Greedy Deep Dictionary Learning for ECG Arrhythmia Classification IEEE IJCNN, 2017.
A. Tripathi and A. Majumdar, Asymmetric Stacked Autoencoder IEEE IJCNN, 2017.
A. Jain and A. Majumdar, Cold-start, Warm-start and Everything in Between: An Autoencoder based Approach to Recommendation IEEE IJCNN, 2017.
V. Singhal, P. Khurana and A. Majumdar, Class-wise Deep Dictionary Learning IEEE IJCNN, pp. 1125-1132, 2017.
V. Singhal and A. Majumdar, Noisy Deep Dictionary Learning: Application to Alzheimer's Disease Classification IEEE IJCNN, pp. 2679 - 2683 2017.
G. Goswami, M. Vatsa, R. Singh and A. Majumdar, Kernel Group Sparse Representation based Classifier for Multimodal Biometrics IEEE IJCNN, 2017.
P. Bhattacharjee, S. Banerjee, M. Gulati, A. Majumdar and S. S. Ram, Supervised Analysis Dictionary Learning: Application in Consumer Electronics Appliance Classification CODS, 2017.
A. Majumdar and R. K. Ward, Robust Greedy Deep Dictionary Learning for ECG Arrhythmia Classification CODS 2017.
V. Singhal and A. Majumdar, Noisy Deep Dictionary Learning CODS 2017.
V. Singhal, S. Singh and A. Majumdar, How to Train Your Deep Neural Network with Dictionary Learning Data Compression Conference, 2017.
S. Singh, V. Singhal and A. Majumdar, Deep Blind Compressed Sensing Data Compression Conference, 2017.
J. Maggu and A. Majumdar, Robust Transform Learning IEEE ICASSP, pp. 1467-1471, 2017
2016
S. Tariyal, A. Majumdar, R. Singh and M. Vatsa, Deep Dictionary Learning, IEEE ACCESS, Vol. 4, pp. 10096 – 10109, 2016. (I. F. 1.3).
N. Kohli, M. Vatsa, R. Singh, A. Noore and A. Majumdar, Hierarchical Representation Learning for Kinship Verification, IEEE Transactions on Image Processing, Vol. 26 (1), pp. 289-302, 217. (I.F. 3.7).
S. Tariyal, H. Agrawal and A. Majumdar, Removing Sparse Noise from Hyperspectral Images with Sparse and Low-rank Penalties, SPIE Journal of Electronic Imaging (accepted) (I.F. 0.7).
H. Agrawal and A. Majumdar, Hyperspectral Unmixing in the Presence of Mixed Noise using Joint-Sparsity and Total-Variation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9 (9), pp. 4257 – 4266, 2016. (I.F. 3.0).
N. Kohli, M. Vatsa, R. Singh, A. Noore and A. Majumdar, Hyperspectral Image Denoising Using Spatio-Spectral Total Variation, IEEE Geosciences and Remote Sensing Letters, Vol. 13 (3), pp. 442-446, 2016. (I.F. 2.2).
A. Majumdar, N. Ansari, H. Agarwal and P. Biyani, Impulse Denoising for Hyper-Spectral Images: A Blind Compressed Sensing Approach, Signal Processing, Vol. 119, pp. 136-141, 2016. (I.F. 2.2)
G. Goswami, P. Mittal, A. Majumdar, R. Singh and M. Vatsa, Group Sparse Representation based Classification for Multi-feature Multimodal Biometrics, Information Fusion, Vol. 32 (B), pp. 3 - 12. (I.F. 10.7)
J. Maggu and A. Majumdar, Alternate Formulation for Transform Learning ICVGIP, pp. 501-508, 2016.
A. Gogna and A. Majumdar, Semi Supervised Autoencoder ICONIP, pp. 82-89, 2016.
V. Singhal, A. Gogna and A. Majumdar, Deep Dictionary Learning vs Deep Belief Network vs Stacked Autoencoder: An Empirical Analysis ICONIP, pp. 337-344 2016.
A. Gogna and A. Majumdar, Kernel l1-minimization: Application to Kernel Sparse Representation based Classification ICONIP, pp. 136-143, 2016.
A. Gogna and A. Majumdar, Nuclear Norm Regularized Randomized Neural Network ICONIP, pp. 144-151, 2016.
J. Mehta, K. Gupta, A. Gogna and A. Majumdar, Stacked Robust Autoencoder for Classification ICONIP, pp. 600-607, 2016.
M. Gupta and A. Majumdar,, Nuclear Norm Regularized Robust Dictionary Learning for Energy Disaggregation EUSIPCO, 2016.
S. Yadav, M. Singh, M. Vatsa, R. Singh and A. Majumdar Low Rank Group Sparse Representation Based Classifier for Pose Variation IEEE ICIP 2016.
S. Tariyal, H. K. Aggarwal and A. Majumdar, Greedy Deep Dictionary Learning for Hyperspectral Image Classification IEEE WHISPERS 2016.
H. K. Aggarwal and A. Majumdar, Sparse Filtering based Hyperspectral Unmixing IEEE WHISPERS 2016.
H. K. Aggarwal and A. Majumdar, Compressive Hyper-Spectral Imaging in the Presence of Real Noise IEEE IGARSS 2016.
A. Majumdar and R. K. Ward, Real-time Reconstruction of EEG Signals from Compressive Measurements via Deep Learning IEEE IJCNN 2016.
K. Gupta and A. Majumdar, Sparsely Connected Autoencoder IEEE IJCNN 2016.
H. K. Agrawal and A. Majumdar, Robust Estimation for Subspace Based Classifiers IEEE IJCNN 2016.
P. Khurana, A. Majumdar and R. K. Ward, Class-wise Deep Dictionaries for EEG Classification IEEE IJCNN 2016.
S. S. Ram and A. Majumdar, Through-wall Propagation Effects on Doppler-enhanced Frontal Radar Images of Humans IEEE RadarCon, 2016
A. Gogna and A. Majumdar, Fast Acquisition for Quantitative MRI Maps: Sparse Recovery from Non-linear Measurements Data Compression Conference.
K. Gupta, A. Raj and A. Majumdar, Analysis and Synthesis Prior Greedy Algorithms for Non-linear Sparse Recovery Data Compression Conference.
A. Majumdar and R. K. Ward, Robust Dictionary Learning: Application to Signal Disaggregation IEEE ICASSP 2016.
M. Jain, N. Kumar, S. Deb and A. Majumda