Chandan Singh
Orcid: 0000-0003-0318-2340
According to our database1,
Chandan Singh
authored at least 122 papers
between 2000 and 2025.
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Bibliography
2025
Interpretable Embeddings of Speech Enhance and Explain Brain Encoding Performance of Audio Models.
CoRR, July, 2025
CoRR, May, 2025
CoRR, March, 2025
A moment-based pooling approach in convolutional neural networks for breast cancer histopathology image classification.
Neural Comput. Appl., January, 2025
CMOSP18 FD-SOI Technology Based MCU Achieving High Performance of 1.2GHz Using High Speed, Optimized Leakage & High Density Tightly Coupled Memory (TCM).
Proceedings of the 38th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems, 2025
Proceedings of the IEEE/ACM International Workshop on Software-Intensive Business, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
A kernelized-bias-corrected fuzzy C-means approach with moment domain filtering for segmenting brain magnetic resonance images.
Soft Comput., February, 2024
A novel approach for brain MRI segmentation and image restoration under intensity inhomogeneity and noisy conditions.
Biomed. Signal Process. Control., January, 2024
A generative framework to bridge data-driven models and scientific theories in language neuroscience.
CoRR, 2024
CoRR, 2024
Employing Vector Field Techniques on the Analysis of Memristor Cellular Nonlinear Networks Cell Dynamics.
CoRR, 2024
CoRR, 2024
Attention learning models using local Zernike moments-based normalized images and convolutional neural networks for skin lesion classification.
Biomed. Signal Process. Control., 2024
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Generative Adversarial Networks in Combustion: Flame Image Generation for Clean and Predictive Combustion Modeling Using Real Data.
Proceedings of the Human Centred Intelligent Systems, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Color object classification using multi-channel Zernike moments-based rotation invariant bag-of-visual-words and deep convolutional neural networks.
Inf. Fusion, September, 2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
Trans. Mach. Learn. Res., 2023
J. Mach. Learn. Res., 2023
CoRR, 2023
Orthogonal Transforms For Learning Invariant Representations In Equivariant Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023
2022
Multim. Tools Appl., 2022
VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS.
J. Open Source Softw., 2022
CoRR, 2022
CoRR, 2022
Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data.
CoRR, 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods.
CoRR, 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments.
Proceedings of the International Joint Conference on Neural Networks, 2022
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
Proceedings of the International Conference on Machine Learning, 2022
2021
Signal Process., 2021
J. Open Source Softw., 2021
An unsupervised orthogonal rotation invariant moment based fuzzy C-means approach for the segmentation of brain magnetic resonance images.
Expert Syst. Appl., 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
2020
Curating a COVID-19 data repository and forecasting county-level death counts in the United States.
CoRR, 2020
An Effective Approach for Noise Robust and Rotation Invariant Handwritten Character Recognition Using Zernike Moments Features and Optimal Similarity Measure.
Appl. Artif. Intell., 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Geometrically invariant color, shape and texture features for object recognition using multiple kernel learning classification approach.
Inf. Sci., 2019
A local Zernike moment-based unbiased nonlocal means fuzzy C-Means algorithm for segmentation of brain magnetic resonance images.
Expert Syst. Appl., 2019
CoRR, 2019
A transform-based fast fuzzy C-means approach for high brain MRI segmentation accuracy.
Appl. Soft Comput., 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Color texture description with novel local binary patterns for effective image retrieval.
Pattern Recognit., 2018
J. Comput. Neurosci., 2018
Multi-channel versus quaternion orthogonal rotation invariant moments for color image representation.
Digit. Signal Process., 2018
A DCT-based local and non-local fuzzy C-means algorithm for segmentation of brain magnetic resonance images.
Appl. Soft Comput., 2018
2017
An efficient and robust multi-frame image super-resolution reconstruction using orthogonal Fourier-Mellin moments.
Displays, 2017
A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs.
CoRR, 2017
A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs.
CoRR, 2017
Comput. Methods Programs Biomed., 2017
An efficient approach for image sequence denoising using Zernike moments-based nonlocal means approach.
Comput. Electr. Eng., 2017
Comput. Electr. Eng., 2017
Contrast enhancement for cephalometric images using wavelet-based modified adaptive histogram equalization.
Appl. Soft Comput., 2017
Multi-channel generalized pseudo-Jacobi-Fourier moments for color image reconstruction and object recognition.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017
2016
J. Vis. Commun. Image Represent., 2016
Invariant moments and transform-based unbiased nonlocal means for denoising of MR images.
Biomed. Signal Process. Control., 2016
Method Noise Based Two Stage Nonlocal Means Filtering Approach for Gaussian Noise Reduction.
Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016
2015
Automatic cephalometric landmark detection using Zernike moments and template matching.
Signal Image Video Process., 2015
Pattern Recognit., 2015
2014
J. Math. Imaging Vis., 2014
Effective and fast face recognition system using hybrid features of orthogonal rotation invariant moments and wavelet transforms.
J. Electronic Imaging, 2014
Int. J. Intell. Syst. Technol. Appl., 2014
IET Image Process., 2014
EURASIP J. Image Video Process., 2014
Accurate calculation of high order pseudo-Zernike moments and their numerical stability.
Digit. Signal Process., 2014
Digit. Signal Process., 2014
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014
Color Image Retrieval Using Color Histogram and Orthogonal Combination of Linear Binary Pattern.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
2013
Performance analysis of various local and global shape descriptors for image retrieval.
Multim. Syst., 2013
Rotation invariant moments and transforms for geometrically invariant image watermarking.
J. Electronic Imaging, 2013
A high capacity image adaptive watermarking scheme with radial harmonic Fourier moments.
Digit. Signal Process., 2013
Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013
2012
Vis. Comput., 2012
"Ad you like it": advertisement sourcing and selection technique across multiple heterogeneous applications.
ACM SIGSOFT Softw. Eng. Notes, 2012
A comment on "Fast and accurate method for radial moment's computation" by Khalid M. Hosny [Pattern Recognition Letters, 31(2010), 143-150].
Pattern Recognit. Lett., 2012
Pattern Recognit. Lett., 2012
On the fast computation of orthogonal Fourier-Mellin moments with improved numerical stability.
J. Real Time Image Process., 2012
J. Math. Imaging Vis., 2012
Int. J. Comput. Vis. Image Process., 2012
Analysis of algorithms for fast computation of pseudo Zernike moments and their numerical stability.
Digit. Signal Process., 2012
Appl. Math. Comput., 2012
2011
Image Vis. Comput., 2011
2010
Pattern Recognit., 2010
Int. J. Image Graph., 2010
CoRR, 2010
2009
IET Image Process., 2009
2008
Pattern Recognit., 2008
2006
Improved quality of reconstructed images using floating point arithmetic for moment calculation.
Pattern Recognit., 2006
An Analysis of Linear and Non-Linear Interpolation Techniques for Three-Dimensional Rendering.
Proceedings of the 2006 International Conference on Geometric Modeling and Imaging, 2006
2005
Int. J. Image Graph., 2005
2004
Proceedings of the International Conference on Computer Vision and Graphics, 2004
2002
2001
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001
Proceedings of the Document Recognition and Retrieval VIII, 2001
Proceedings of the Computer Analysis of Images and Patterns, 9th International Conference, 2001
2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000