M. Anand Kumar

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text	2024	M Manvith Prabhu Haricharana Srinivasa M. Anand Kumar
+	Representation Learning in Continuous-Time Dynamic Signed Networks	2023	Kartik Sharma Mohit Raghavendra Yeon-Chang Lee M. Anand Kumar Srijan Kumar
+ PDF Chat	Overlapping word removal is all you need: revisiting data imbalance in hope speech detection	2023	Hariharan RamakrishnaIyer LekshmiAmmal Manikandan Ravikiran Gayathri Nisha Navyasree Balamuralidhar Adithya Madhusoodanan M. Anand Kumar Bharathi Raja Chakravarthi
+	Search for charged-lepton flavor violation in $Υ(2S) \to \ell^\mpτ^\pm$ ($\ell=e,μ$) decays at Belle	2023	Belle Collaboration R. Dhamija S. Nishida A. Giri I. Adachi H. Aihara D. M. Asner T. Aushev R. Ayad V. Babu
+ PDF Chat	Medical image segmentation with 3D convolutional neural networks: A survey	2022	S. Niyas S. J. Pawan M. Anand Kumar Jeny Rajan
+	Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection	2022	Hariharan RamakrishnaIyer LekshmiAmmal Manikandan Ravikiran Gayathri Nisha Navyasree Balamuralidhar Adithya Madhusoodanan M. Anand Kumar Bharathi Raja Chakravarthi
+	Single-shot multispectral quantitative phase imaging using deep neural network	2022	Sunil Bhatt Ankit Butola M. Anand Kumar Pramila Thapa Akshay Joshi Neetu Singh Krishna Agarwal Dalip Singh Mehta
+	Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments	2022	Manikandan Ravikiran Bharathi Raja Chakravarthi M. Anand Kumar S. Sangeetha R. Rajalakshmi Sajeetha Thavareesan Rahul Ponnusamy Shankar Mahadevan.
+	Representation Learning in Continuous-Time Dynamic Signed Networks	2022	Mohit Raghavendra Kartik Sharma Yeon Chang Lee M. Anand Kumar Srijan Kumar
+	Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages.	2021	Bharathi Raja Chakravarthi Dhivya Chinnappa Ruba Priyadharshini M. Anand Kumar S. Sangeetha C. N. Subalalitha Sajeetha Thavareesan Dhanalakshmi Vadivel Rahul Ponnusamy Prasanna Kumar Kumaresan
+	Medical Image Segmentation using 3D Convolutional Neural Networks: A Review.	2021	S. Niyas S. J. Pawan M. Anand Kumar Jeny Rajan
+	Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages	2021	Bharathi Raja Chakravarthi Dhivya Chinnappa Ruba Priyadharshini M. Anand Kumar S. Sangeetha C. N. Subalalitha Sajeetha Thavareesan Dhanalakshmi Vadivel Rahul Ponnusamy Prasanna Kumar Kumaresan
+	Sarcasm Detection in Tweets with BERT and GloVe Embeddings	2020	Akshay Khatri Pratyush Pranav M. Anand Kumar
+	Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback	2020	Anumeha Agrawal Rosa Anil George Selvan Sunitha Ravi S. Sowmya Kamath M. Anand Kumar
+	Leveraging Multimodal Behavioral Analytics for Automated Job Interview Performance Assessment and Feedback	2020	Anumeha Agrawal Rosa Anil George Selvan Sunitha Ravi S. Sowmya Kamath M. Anand Kumar
+	Sarcasm Detection in Tweets with BERT and GloVe Embeddings	2020	Akshay Khatri P Pranav M. Anand Kumar
+	Deep-Net: Deep Neural Network for Cyber Security Use Cases	2018	R. Vinayakumar Barathi Ganesh Hb Prabaharan Poornachandran M. Anand Kumar Soman K.P.
+	Vector Space Model as Cognitive Space for Text Classification.	2017	H B Barathi Ganesh M. Anand Kumar K. P. Soman
+	Dependency resolution and semantic mining using Tree Adjoining Grammars for Tamil Language	2017	Vijay Menon Suresh Rajendran M. Anand Kumar K. P. Soman
+	Deep Health Care Text Classification	2017	R. Vinayakumar H B Barathi Ganesh M. Anand Kumar K. P. Soman
+	Vector Space Model as Cognitive Space for Text Classification	2017	Barathi Ganesh HB M. Anand Kumar Soman KP
+	A new TAG Formalism for Tamil and Parser Analytics	2016	Vijay Menon Suresh Rajendran M. Anand Kumar K. P. Soman
+	A new TAG Formalism for Tamil and Parser Analytics	2016	Vijay Menon Suresh Rajendran M. Anand Kumar K. P. Soman
+	Dependency resolution and semantic mining using Tree Adjoining Grammars for Tamil Language	2015	Vijay Menon Suresh Rajendran M. Anand Kumar KP Soman
+	Improving the Performance of English-Tamil Statistical Machine Translation System using Source-Side Pre-Processing	2014	M. Anand Kumar V. Dhanalakshmi K. P. Soman V. Sharmiladevi
+	Scope of cloud computing for SMEs in India	2010	Monika Sharma Ashwani Mehra Haresh Jola M. Anand Kumar Madhvendra Misra Vijayshri Tiwari
+	Definite integration via areas	2002	M. Anand Kumar

Common Coauthors

Coauthor	Papers Together
K. P. Soman	6
Bharathi Raja Chakravarthi	5
Vijay Menon	4
Suresh Rajendran	4
Rahul Ponnusamy	3
Sajeetha Thavareesan	3
Manikandan Ravikiran	3
S. Sangeetha	3
Jeny Rajan	2
S. Niyas	2
Ruba Priyadharshini	2
Srijan Kumar	2
Navyasree Balamuralidhar	2
Kartik Sharma	2
C. N. Subalalitha	2
S. Sowmya Kamath	2
H B Barathi Ganesh	2
Rosa Anil George	2
Dhanalakshmi Vadivel	2
Prasanna Kumar Kumaresan	2
R. Vinayakumar	2
Hariharan RamakrishnaIyer LekshmiAmmal	2
Dhivya Chinnappa	2
Gayathri Nisha	2
Adithya Madhusoodanan	2
S. J. Pawan	2
Selvan Sunitha Ravi	2
Anumeha Agrawal	2
Mohit Raghavendra	2
S. Paul	1
D. Cinabro	1
V. Dhanalakshmi	1
S. C. Lee	1
P Pranav	1
L. K. Li	1
S. Patra	1
G. Russo	1
R. Mizuk	1
M. Masuda	1
P. Chang	1
Pratyush Pranav	1
T. E. Browder	1
Z. P. Zhang	1
H. Aihara	1
C. Sharma	1
M. Starič	1
J. Libby	1
P. Lewis	1
Y. Seino	1
S. Hazra	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	2
+	Attention gated networks: Learning to leverage salient regions in medical images	2019	Jo Schlemper Ozan Oktay Michiel Schaap Mattias P. Heinrich‬ Bernhard Kainz Ben Glocker Daniel Rueckert	2
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	2
+ PDF Chat	On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task	2017	Wenqi Li Guotai Wang Lucas Fidon Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren	2
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	2
+ PDF Chat	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection	2018	Seyed Raein Hashemi Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Sanjay P. Prabhu Simon K. Warfield Ali Gholipour	2
+ PDF Chat	Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation	2018	Konstantinos Kamnitsas Wenjia Bai Enzo Ferrante Steven McDonagh Matthew Sinclair Nick Pawlowski Martin Rajchl Min Young Lee Bernhard Kainz Daniel Rueckert	2
+ PDF Chat	Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks	2017	Seyed Sadegh Mohseni Salehi Deniz Erdoğmuş Ali Gholipour	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	2
+ PDF Chat	Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge	2017	Arnaud Arindra Adiyoso Setio Alberto Traverso Thomas de Bel Moira S.N. Berens Cas van den Bogaard P. Cerello Hao Chen Qi Dou M.E. Fantacci Bram Geurts	2
+ PDF Chat	Recalibrating 3D ConvNets With Project & Excite	2020	Anne-Marie Rickmann Abhijit Guha Roy Ignacio Sarasúa Christian Wachinger	2
+ PDF Chat	One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation	2020	Chenghong Zhou Changxing Ding Xinchao Wang Zhentai Lu Dacheng Tao	2
+ PDF Chat	Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation	2018	Holger R. Roth Le Lü Nathan Lay Adam P. Harrison Amal Farag Andrew Sohn Ronald M. Summers	2
+ PDF Chat	3D convolutional neural networks for tumor segmentation using long-range 2D context	2019	Pawel Mlynarski Hervé Delingette Antonio Criminisi Nicholas Ayache	2
+	Android Malware Detection using Deep Learning on API Method Sequences	2017	ElMouatez Billah Karbab Mourad Debbabi Abdelouahid Derhab Djedjiga Mouheb	1
+ PDF Chat	An application of cascaded 3D fully convolutional networks for medical image segmentation	2018	Holger R. Roth Hirohisa Oda Xiangrong Zhou Natsuki Shimizu Ying Yang Yuichiro Hayashi Masahiro Oda Michitaka Fujiwara Kazunari Misawa Kensaku Mori	1
+ PDF Chat	Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation	2018	Yunchao Wei Huaxin Xiao Humphrey Shi Zequn Jie Jiashi Feng Thomas S. Huang	1
+ PDF Chat	Imbalanced Deep Learning by Minority Class Incremental Rectification	2018	Qi Dong Shaogang Gong Xiatian Zhu	1
+ PDF Chat	Focal Loss for Dense Object Detection	2018	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+ PDF Chat	Generative adversarial network in medical imaging: A review	2019	Yi Xin Ekta Walia Paul Babyn	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning	2018	Arnab Kumar Mondal José Dolz Christian Desrosiers	1
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	1
+	A survey on Deep Learning Advances on Different 3D Data Representations	2018	Eman Ahmed Alexandre Saint Abd El Rahman Shabayek Kseniya Cherenkova Rig Das Gleb Gusev Djamila Aouada Björn Ottersten	1
+	Med3D: Transfer Learning for 3D Medical Image Analysis	2019	Sihong Chen Kai Ma Yefeng Zheng	1
+	Augmenting Data with Mixup for Sentence Classification: An Empirical Study	2019	Hongyu Guo Yongyi Mao Richong Zhang	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities	2018	Nathaniel Blanchard Daniel Moreira Aparna Bharati Walter J. Scheirer	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+ PDF Chat	Predicting the Type and Target of Offensive Posts in Social Media	2019	Marcos Zampieri Shervin Malmasi Preslav Nakov Sara Rosenthal Noura Farra Ritesh Kumar	1
+	On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis	2018	José Camacho-Collados Mohammad Taher Pilehvar	1
+ PDF Chat	MRI tumor segmentation with densely connected 3D CNN	2018	Adora M. DSouza Lele Chen Yue Wu Anas Z. Abidin Chenliang Xu Axel Wismüller	1
+ PDF Chat	Improving Neural Machine Translation Models with Monolingual Data	2016	Rico Sennrich Barry Haddow Alexandra Birch	1
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations	2018	Sosuke Kobayashi	1
+	FractalNet: Ultra-Deep Neural Networks without Residuals.	2017	Gustav Larsson Michael Maire Gregory Shakhnarovich	1
+ PDF Chat	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	1
+ PDF Chat	Benchmarking Multimodal Sentiment Analysis	2018	Erik Cambria Devamanyu Hazarika Soujanya Poria Amir Hussain R. B. V. Subramanyam	1
+	EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks	2019	Jason Wei Kai Zou	1
+ PDF Chat	Signed Graph Attention Networks	2019	Junjie Huang Huawei Shen Liang Hou Xueqi Cheng	1
+	DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter	2019	Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf	1
+	MixMatch: A Holistic Approach to Semi-Supervised Learning	2019	David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel	1
+ PDF Chat	Discovering Polarized Communities in Signed Networks	2019	Francesco Bonchi Edoardo Galimberti Aristides Gionis Bruno Ordozgoiti Giancarlo Ruffo	1
+	3D Deep Learning on Medical Images: A Review	2020	Satya P. Singh Lipo Wang Sukrit Gupta Haveesh Goli Parasuraman Padmanabhan Balázs Gulyás	1
+ PDF Chat	M2m: Imbalanced Classification via Major-to-Minor Translation	2020	Jaehyung Kim Jongheon Jeong Jinwoo Shin	1
+	Unsupervised Cross-lingual Representation Learning at Scale	2020	Alexis Conneau Kartikay Khandelwal Naman Goyal Vishrav Chaudhary Guillaume Wenzek Francisco Guzmán Édouard Grave Myle Ott Luke Zettlemoyer Veselin Stoyanov	1
+ PDF Chat	FocalMix: Semi-Supervised Learning for 3D Medical Image Detection	2020	Dong Wang Yuan Zhang Kexin Zhang Liwei Wang	1