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K. P. Soman
Soman Kotti Padannayil – Soman K. P – Kutti Padanyl Soman – Soman K. P.
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- affiliation: Amrita University, India
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2020 – today
- 2022
- [i32]Mredulraj S. Pandianchery, Gopalakrishnan E. A, Sowmya V, Vinayakumar Ravi, Soman K. P:
Explainable AI Framework for COVID-19 Prediction in Different Provinces of India. CoRR abs/2201.06997 (2022) - 2021
- [j41]Priyanga V. T, Sanjanasri J. P., Vijay Krishna Menon, E. A. Gopalakrishnan, K. P. Soman:
Exploring fake news identification using word and sentence embeddings. J. Intell. Fuzzy Syst. 41(5): 5441-5448 (2021) - [j40]O. K. Sikha
, Soman K. P.:
Dynamic Mode Decomposition based salient edge/region features for content based image retrieval. Multim. Tools Appl. 80(10): 15937-15958 (2021) - [j39]B. Premjith, K. P. Soman:
Deep Learning Approach for the Morphological Synthesis in Malayalam and Tamil at the Character Level. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 94:1-94:17 (2021) - [c166]Sanjanasri J. P., Vijay Krishna Menon, K. P. Soman, Krzysztof Wolk:
Mining Bilingual Word Pairs from Comparable Corpus using Apache Spark Framework. BUCC@RANLP 2021: 2-7 - [c165]Shamika Ganesan
, Vinayakumar Ravi, Moez Krichen, V. Sowmya
, Roobaea Alroobaea
, Soman K. P.:
Robust Malware Detection using Residual Attention Network. ICCE 2021: 1-6 - [c164]Namrata Nair, Sankaran Narayanan, Pradeep Achan, K. P. Soman:
Clinical Note Section Identification Using Transfer Learning. ICICT (1) 2021: 533-542 - [c163]U. Vamsi Krishna, B. Premjith, K. P. Soman:
A Comparative Study of Pre-trained Gene Embeddings for COVID-19 mRNA Vaccine Degradation Prediction. ICMC 2021: 301-308 - [c162]Rohith Ramakrishnan, Anirudh Vadakedath, U. Vamsi Krishna, B. Premjith, K. P. Soman:
Analysis of Text-Semantics via Efficient Word Embedding using Variational Mode Decomposition. PACLIC 2021: 711-720 - [c161]Sreelakshmi K, Premjith B, K. P. Soman:
Transformer based Offensive Language Identification in Spanish. IberLEF@SEPLN 2021: 233-239 - [i31]Bharathi Raja Chakravarthi, Jishnu Parameswaran P. K, Premjith B, K. P. Soman, Rahul Ponnusamy, Prasanna Kumar Kumaresan, Kingston Pal Thamburaj, John P. McCrae:
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam. CoRR abs/2106.04853 (2021) - [i30]N. S. Kamal, Barathi Ganesh HB, Sajith Variyar VV, Sowmya V, Soman K. P.:
Geometry Based Machining Feature Retrieval with Inductive Transfer Learning. CoRR abs/2108.11838 (2021) - 2020
- [j38]Sowmya Viswanathan
, D. Govind, K. P. Soman:
Significance of processing chrominance information for scene classification: a review. Artif. Intell. Rev. 53(2): 811-842 (2020) - [j37]Vinayakumar R., Soman K. P.:
Siamese neural network architecture for homoglyph attacks detection. ICT Express 6(1): 16-19 (2020) - [j36]Sanjanasri J. P.
, M. Anand Kumar
, K. P. Soman:
Deep learning-based techniques to enhance the precision of phrase-based statistical machine translation system for Indian languages. Int. J. Comput. Aided Eng. Technol. 13(1/2): 239-257 (2020) - [j35]Vyshnav M. T, S. Sachin Kumar
, Neethu Mohan
, K. P. Soman:
Random fourier feature based music-speech classification. J. Intell. Fuzzy Syst. 38(5): 6353-6363 (2020) - [j34]O. K. Sikha, K. P. Soman, S. Sachin Kumar
:
VMD-DMD coupled data-driven approach for visual saliency in noisy images. Multim. Tools Appl. 79(3-4): 1951-1970 (2020) - [j33]O. K. Sikha
, K. P. Soman:
Multi-resolution dynamic mode decomposition-based salient region detection in noisy images. Signal Image Video Process. 14(1): 167-175 (2020) - [c160]Sanjanasri J. P., B. Premjith, Vijay Krishna Menon, K. P. Soman:
cEnTam: Creation and Validation of a New English-Tamil Bilingual Corpus. BUCC@LREC 2020: 61-64 - [c159]Sanjanasri J. P., Vijay Krishna Menon, K. P. Soman:
BUCC2020: Bilingual Dictionary Induction using Cross-lingual Embedding. BUCC@LREC 2020: 65-68 - [c158]Krishnendu C. S., V. Sowmya
, K. P. Soman:
Impact of Dimension Reduced Spectral Features on Open Set Domain Adaptation for Hyperspectral Image Classification. FICTA (1) 2020: 737-746 - [c157]Sanjana K., V. Sowmya
, E. A. Gopalakrishnan, K. P. Soman:
Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification. FICTA (1) 2020: 755-763 - [c156]Bharathi Raja Chakravarthi, Anand Kumar M, John P. McCrae, B. Premjith, K. P. Soman, Thomas Mandl:
Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix. FIRE (Working Notes) 2020: 112-120 - [c155]Ramji Balasubramanian, V. Sowmya
, E. A. Gopalakrishnan, Vijay Krishna Menon, V. V. Sajith Variyar, K. P. Soman:
Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading. ICCCNT 2020: 1-5 - [c154]Neethu Mohan
, Sachin S. Kumar
, K. P. Soman:
Group Sparsity Assisted Synchrosqueezing Approach for Phonocardiogram Signal Denoising. ICCCNT 2020: 1-5 - [c153]Isha Indhu S, Kavya S. Kumar, U. Vamsi Krishna, Neethu Mohan
, V. Sowmya
, K. P. Soman:
Investigating the Significance of Dynamic Mode Decomposition for Fast and Accurate Parameter Estimation in Power Grids. ICCCNT 2020: 1-5 - [c152]Malneedi Vamsi, K. P. Soman:
In-Vehicle Occupancy Detection And Classification Using Machine Learning. ICCCNT 2020: 1-6 - [c151]M. T. Vyshnav, V. Sowmya
, E. A. Gopalakrishnan, V. V. Sajith Variyar, Vijay Krishna Menon, K. P. Soman:
Deep Learning Based Approach for Multiple Myeloma Detection. ICCCNT 2020: 1-7 - [c150]Sriram S, Vinayakumar R., Mamoun Alazab
, K. P. Soman:
Network Flow based IoT Botnet Attack Detection using Deep Learning. INFOCOM Workshops 2020: 189-194 - [c149]Sriram S, Vinayakumar R., V. Sowmya
, Mamoun Alazab
, K. P. Soman:
Multi-scale Learning based Malware Variant Detection using Spatial Pyramid Pooling Network. INFOCOM Workshops 2020: 740-745 - [p9]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection. Handbook of Computer Networks and Cyber Security 2020: 905-928 - [p8]G. Remmiya Devi, M. Anand Kumar
, K. P. Soman:
Extraction of Named Entities from Social Media Text in Tamil Language Using N-Gram Embedding for Disaster Management. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 207-223 - [i29]Vyshnav M. T, S. Sachin Kumar, Soman K. P:
Offensive Language Detection: A Comparative Analysis. CoRR abs/2001.03131 (2020) - [i28]Ganesh Kumar M, Soman K. P, Gopalakrishnan E. A, Vijay Krishna Menon, V. Sowmya:
Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm. CoRR abs/2003.12017 (2020) - [i27]Simran K, Sriram S, Vinayakumar R., K. P. Soman:
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security. CoRR abs/2004.00502 (2020) - [i26]Simran K, Prathiksha Balakrishna, Vinayakumar R., K. P. Soman:
Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream. CoRR abs/2004.00503 (2020) - [i25]Simran K, Prathiksha Balakrishna, Vinayakumar R., Soman K. P.:
Deep Learning based Frameworks for Handling Imbalance in DGA, Email, and URL Data Analysis. CoRR abs/2004.04812 (2020)
2010 – 2019
- 2019
- [j32]R. Vinayakumar
, Mamoun Alazab
, K. P. Soman, Prabaharan Poornachandran, Ameer Al-Nemrat, Sitalakshmi Venkatraman:
Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access 7: 41525-41550 (2019) - [j31]R. Vinayakumar
, Mamoun Alazab
, K. P. Soman, Prabaharan Poornachandran, Sitalakshmi Venkatraman:
Robust Intelligent Malware Detection Using Deep Learning. IEEE Access 7: 46717-46738 (2019) - [j30]R. Vinayakumar
, K. P. Soman, Prabaharan Poornachandran:
A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs. Int. J. Digit. Crime Forensics 11(3): 65-89 (2019) - [j29]R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, Vysakh S. Mohan, Amara Dinesh Kumar:
ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL, and Email Data Analysis. J. Cyber Secur. Mobil. 8(2): 189-240 (2019) - [j28]Vysakh S. Mohan, R. Vinayakumar, V. Sowmya
, K. P. Soman:
Deep rectified system for high-speed tracking in images. J. Intell. Fuzzy Syst. 36(3): 1957-1965 (2019) - [j27]Naveen Varghese Jacob, V. Sowmya
, K. P. Soman:
Effect of denoising on hyperspectral image classification using deep networks and kernel methods. J. Intell. Fuzzy Syst. 36(3): 2067-2073 (2019) - [j26]B. Premjith
, M. Anand Kumar
, K. P. Soman:
Neural Machine Translation System for English to Indian Language Translation Using MTIL Parallel Corpus. J. Intell. Syst. 28(3): 387-398 (2019) - [j25]S. Sachin Kumar
, M. Anand Kumar
, K. P. Soman:
Deep Learning Based Part-of-Speech Tagging for Malayalam Twitter Data (Special Issue: Deep Learning Techniques for Natural Language Processing). J. Intell. Syst. 28(3): 423-435 (2019) - [j24]M. Anand Kumar
, B. Premjith
, Shivkaran Singh, S. Rajendran, K. P. Soman:
An Overview of the Shared Task on Machine Translation in Indian Languages (MTIL) - 2017. J. Intell. Syst. 28(3): 455-464 (2019) - [j23]Anju Unnikrishnan, V. Sowmya
, K. P. Soman:
Deep learning architectures for land cover classification using red and near-infrared satellite images. Multim. Tools Appl. 78(13): 18379-18394 (2019) - [c148]Vinayakumar R., Mamoun Alazab
, Alireza Jolfaei
, Soman K. P., Prabaharan Poornachandran:
Ransomware Triage Using Deep Learning: Twitter as a Case Study. CCC 2019: 67-73 - [c147]Sreelakshmi K, Premjith B, Soman K. P:
Amrita CEN at HASOC 2019: Hate Speech Detection in Roman and Devanagiri Scripted Text. FIRE (Working Notes) 2019: 366-369 - [c146]Chandni M, Priyanga V. T, Premjith B, Soman K. P:
Amrita CEN CIQ: Classification of Insincere Questions. FIRE (Working Notes) 2019: 456-462 - [c145]Athira Gopalakrishnan, K. P. Soman, B. Premjith
:
Part-of-Speech Tagger for Biomedical Domain Using Deep Neural Network Architecture. ICCCNT 2019: 1-5 - [c144]Naveenkumar K. S, R. Vinayakumar, K. P. Soman:
Amrita-CEN-SentiDB 1: Improved Twitter Dataset for Sentimental Analysis and Application of Deep learning. ICCCNT 2019: 1-5 - [c143]T. Tulasi Sasidhar, Sreelakshmi K
, Vyshnav M. T, V. Sowmya
, Soman K. P.:
Land Cover Satellite Image Classification Using NDVI and SimpleCNN. ICCCNT 2019: 1-5 - [c142]D. Govind, S. Lakshmi Priya, S. Akarsh, B. Ganga Gowri, K. P. Soman:
Improved Epoch Extraction From Speech Signals Using Wavelet Synchrosqueezed Transform. NCC 2019: 1-5 - [c141]S. Sriram, K. Simran, R. Vinayakumar, S. Akarsh, K. P. Soman:
Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment. SSCC 2019: 111-120 - [c140]K. Simran, Prathiksha Balakrishna, R. Vinayakumar, K. P. Soman:
Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream. SSCC 2019: 135-145 - [c139]Rahul-Vigneswaran K, S. Sachin Kumar
, Neethu Mohan
, K. P. Soman:
Dynamic Mode Decomposition based feature for Image Classification. TENCON 2019: 745-750 - [p7]K. P. Soman, S. Sachin Kumar
, Neethu Mohan
, P. Poornachandran:
Modern Methods for Signal Analysis and Its Applications. Recent Advances in Computational Intelligence 2019: 263-290 - [p6]S. N. Mohan Raj, S. Sachin Kumar
, S. Rajendran, K. P. Soman:
Word Sense Disambiguation of Malayalam Nouns. Recent Advances in Computational Intelligence 2019: 291-314 - [p5]Sujith Viswanathan, M. Anand Kumar
, K. P. Soman:
A Comparative Analysis of Machine Comprehension Using Deep Learning Models in Code-Mixed Hindi Language. Recent Advances in Computational Intelligence 2019: 315-339 - [p4]B. Premjith
, K. P. Soman, M. Anand Kumar
, D. Jyothi Ratnam:
Embedding Linguistic Features in Word Embedding for Preposition Sense Disambiguation in English - Malayalam Machine Translation Context. Recent Advances in Computational Intelligence 2019: 341-370 - [p3]Nikhil Damodaran, V. Sowmya
, D. Govind, K. P. Soman:
Scene Classification Using Transfer Learning. Recent Advances in Computer Vision 2019: 363-399 - [p2]D. Jyothi Ratnam, K. P. Soman, T. K. Biji Mol, M. G. Priya:
Translation Equivalence for English Periphrastic Causative Constructions into Hindi in the Context of English to Hindi Machine Translation System. Recent Advances in Computational Intelligence 2019: 371-392 - [p1]V. Sowmya
, K. P. Soman, M. Hassaballah
:
Hyperspectral Image: Fundamentals and Advances. Recent Advances in Computer Vision 2019: 401-424 - [i24]Vidya Prasad K, Akarsh S, R. Vinayakumar, Soman K. P:
A Deep Learning Approach for Similar Languages, Varieties and Dialects. CoRR abs/1901.00297 (2019) - [i23]Rahul-Vigneswaran K, Soman K. P.:
An Insight into the Dynamics and State Space Modelling of a 3-D Quadrotor. CoRR abs/1901.01051 (2019) - [i22]Naveenkumar K. S, R. Vinayakumar, Soman K. P:
Emotion Detection using Data Driven Models. CoRR abs/1901.03141 (2019) - [i21]Mohammed Harun Babu R, R. Vinayakumar, Soman K. P:
RNNSecureNet: Recurrent neural networks for Cyber security use-cases. CoRR abs/1901.04281 (2019) - [i20]Rahul-Vigneswaran K, Prabaharan Poornachandran, Soman K. P:
A Compendium on Network and Host based Intrusion Detection Systems. CoRR abs/1904.03491 (2019) - [i19]Rahul-Vigneswaran K, Neethu Mohan, Soman K. P:
Data-driven Computing in Elasticity via Chebyshev Approximation. CoRR abs/1904.10434 (2019) - [i18]Rahul-Vigneswaran K, S. Sachin Kumar, Neethu Mohan, Soman K. P.:
Dynamic Mode Decomposition based feature for Image Classification. CoRR abs/1910.03188 (2019) - 2018
- [j22]P. V. Veena, M. Anand Kumar
, K. P. Soman:
Character Embedding for Language Identification in Hindi-English Code-mixed Social Media Text. Computación y Sistemas 22(1) (2018) - [j21]Swapna G.
, Vinayakumar R.
, Soman K. P.:
Diabetes detection using deep learning algorithms. ICT Express 4(4): 243-246 (2018) - [j20]Vinayakumar R.
, Soman K. P.:
DeepMalNet: Evaluating shallow and deep networks for static PE malware detection. ICT Express 4(4): 255-258 (2018) - [j19]K. Manjusha, M. Anand Kumar
, K. P. Soman:
Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition. Int. J. Document Anal. Recognit. 21(3): 187-198 (2018) - [j18]R. Vinayakumar
, K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar
:
Evaluating deep learning approaches to characterize and classify the DGAs at scale. J. Intell. Fuzzy Syst. 34(3): 1265-1276 (2018) - [j17]R. Vinayakumar
, K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar
:
Detecting Android malware using Long Short-term Memory (LSTM). J. Intell. Fuzzy Syst. 34(3): 1277-1288 (2018) - [j16]R. Vinayakumar
, K. P. Soman, Prabaharan Poornachandran:
Evaluating deep learning approaches to characterize and classify malicious URL's. J. Intell. Fuzzy Syst. 34(3): 1333-1343 (2018) - [j15]R. Vinayakumar
, K. P. Soman, Prabaharan Poornachandran:
Detecting malicious domain names using deep learning approaches at scale. J. Intell. Fuzzy Syst. 34(3): 1355-1367 (2018) - [j14]S. Sooraj, K. Manjusha, M. Anand Kumar
, K. P. Soman:
Deep learning based spell checker for Malayalam language. J. Intell. Fuzzy Syst. 34(3): 1427-1434 (2018) - [j13]Remmiya Devi G, M. Anand Kumar
, K. P. Soman:
Co-occurrence based word representation for extracting named entities in Tamil tweets. J. Intell. Fuzzy Syst. 34(3): 1435-1442 (2018) - [j12]Shivkaran Singh, M. Anand Kumar
, K. P. Soman:
Attention based English to Punjabi neural machine translation. J. Intell. Fuzzy Syst. 34(3): 1551-1559 (2018) - [j11]B. Ganga Gowri, K. P. Soman:
Enhancement of white Gaussian noise affected speech using VMD-ℓ1 trend filter method. J. Intell. Fuzzy Syst. 34(3): 1701-1711 (2018) - [j10]O. K. Sikha, S. Sachin Kumar
, K. P. Soman
:
Salient region detection and object segmentation in color images using dynamic mode decomposition. J. Comput. Sci. 25: 351-366 (2018) - [j9]V. Ankarao, V. Sowmya
, K. P. Soman:
Multi-sensor data fusion using NIHS transform and decomposition algorithms. Multim. Tools Appl. 77(23): 30381-30402 (2018) - [j8]R. Reshma, V. Sowmya
, K. P. Soman
:
Effect of Legendre-Fenchel denoising and SVD-based dimensionality reduction algorithm on hyperspectral image classification. Neural Comput. Appl. 29(8): 301-310 (2018) - [j7]M. Swarna, V. Sowmya
, K. P. Soman:
Band selection using variational mode decomposition applied in sparsity-based hyperspectral unmixing algorithms. Signal Image Video Process. 12(8): 1463-1470 (2018) - [c138]Anand Kumar M
, Barathi Ganesh H. B., Soman K. P, Ajay S. G:
Indian Native Language Identification - INLI 2018. FIRE 2018: 11-15 - [c137]Barathi Ganesh H. B., Soman K. P, Reshma U, Mandar Kale, Prachi Mankame, Gouri Kulkarni, Anitha Kale, Anand Kumar M
:
Information Extraction for Conversational Systems in Indian Languages - Arnekt IECSIL. FIRE 2018: 18-20 - [c136]Anand Kumar M, Barathi Ganesh H. B., Ajay S. G, Soman K. P:
Overview of the second shared task on Indian Native Language Identification (INLI). FIRE (Working Notes) 2018: 39-50 - [c135]B. Premjith
, Soman K. P, Prabaharan Poornachandran:
A deep learning based Part-of-Speech (POS) tagger for Sanskrit language by embedding character level features. FIRE 2018: 56-60 - [c134]Barathi Ganesh H. B., Soman K. P, Reshma U, Mandar Kale, Prachi Mankame, Gouri Kulkarni, Anitha Kale, Anand Kumar M:
Overview of Arnekt IECSIL at FIRE-2018 Track on Information Extraction for Conversational Systems in Indian Languages. FIRE (Working Notes) 2018: 119-128 - [c133]Shalini K, Barathi Ganesh H. B., M. Anand Kumar
, K. P. Soman:
Sentiment Analysis for Code-Mixed Indian Social Media Text With Distributed Representation. ICACCI 2018: 1126-1131 - [c132]Greeshma Prabha, P. V. Jyothsna, K. K. Shahina, B. Premjith
, K. P. Soman:
A Deep Learning Approach for Part-of-Speech Tagging in Nepali Language. ICACCI 2018: 1132-1136 - [c131]Aravind Ravikumar, Neethu Mohan
, K. P. Soman:
Performance Enhancement of a Series Active Power Filter using Kalman Filter based Neural Network Control Strategy. ICACCI 2018: 1702-1706 - [c130]Rahul-Vigneswaran K, R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran:
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security. ICCCNT 2018: 1-6 - [c129]Anu Vazhayil, R. Vinayakumar, K. P. Soman:
Comparative Study of the Detection of Malicious URLs Using Shallow and Deep Networks. ICCCNT 2018: 1-6 - [c128]R. Vinayakumar, K. P. Soman, Pradeep Menon:
CT-Blocks: Learning Computational Thinking by Snapping Blocks. ICCCNT 2018: 1-7 - [c127]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Map-Blocks: Playing with Online Data and Infuse to Think in a Computational Way. ICCCNT 2018: 1-6 - [c126]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Digital Storytelling Using Scratch: Engaging Children Towards Digital Storytelling. ICCCNT 2018: 1-6 - [c125]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Alg-Design: Facilitates to Learn Algorithmic Thinking for Beginners. ICCCNT 2018: 1-6 - [c124]R. Vinayakumar, K. P. Soman, Pradeep Menon:
CT-Blocks Analyser: Analysing CT-Blocks Projects. ICCCNT 2018: 1-5 - [c123]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Building-Blocks: Generating 3D Design by Snapping Blocks. ICCCNT 2018: 1-6 - [c122]R. Vinayakumar, K. P. Soman, Pradeep Menon:
Fractal Geometry: Enhancing Computational Thinking with MIT Scratch. ICCCNT 2018: 1-6 - [c121]R. Vinayakumar, K. P. Soman, Pradeep Menon:
DB-Learn: Studying Relational Algebra Concepts by Snapping Blocks. ICCCNT 2018: 1-6 - [c120]B. Ganga Gowri, Soman K. P, D. Govind:
Improved Epoch Extraction from Telephonic Speech Using Chebfun and Zero Frequency Filtering. INTERSPEECH 2018: 2152-2156 - [c119]Nidhin A. Unnithan, Shalini K, Barathi Ganesh H. B., M. Anand Kumar
, Soman K. P:
Amrita_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets. SemEval@NAACL-HLT 2018: 319-323 - [c118]Naveen J. R, Barathi Ganesh H. B., M. Anand Kumar
, Soman K. P:
CENNLP at SemEval-2018 Task 1: Constrained Vector Space Model in Affects in Tweets. SemEval@NAACL-HLT 2018: 329-333 - [c117]Anon George, Barathi Ganesh H. B., Anand Kumar M
, Soman K. P:
TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection. SemEval@NAACL-HLT 2018: 334-338 - [c116]Naveen J. R, Hariharan V, Barathi Ganesh H. B., M. Anand Kumar
, Soman K. P:
CENNLP at SemEval-2018 Task 2: Enhanced Distributed Representation of Text using Target Classes for Emoji Prediction Representation. SemEval@NAACL-HLT 2018: 486-490 - [c115]Vivek Vinayan, M. Anand Kumar
, Soman K. P:
AmritaNLP at SemEval-2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation. SemEval@NAACL-HLT 2018: 1003-1007 - [c114]Vysakh S. Mohan, R. Vinayakumar
, Soman K. P, Prabaharan Poornachandran:
S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors. IEEE Symposium on Security and Privacy Workshops 2018: 258-263 - [i17]Chippy Jayaprakash, Bharath Bhushan Damodaran, V. Sowmya, K. P. Soman:
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification. CoRR abs/1804.07347 (2018) - [i16]Anu Vazhayil, Vinaykumar R., Soman K. P:
DeepProteomics: Protein family classification using Shallow and Deep Networks. CoRR abs/1809.04461 (2018) - [i15]Amara Dinesh Kumar, R. Vinayakumar, K. P. Soman:
DeepImageSpam: Deep Learning based Image Spam Detection. CoRR abs/1810.03977 (2018) - [i14]Amara Dinesh Kumar, Koti Naga Renu Chebrolu, R. Vinayakumar, Soman K. P:
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities. CoRR abs/1810.04144 (2018) - [i13]R. Vinayakumar, Barathi Ganesh HB, Prabaharan Poornachandran, Anand Kumar M, Soman K. P:
Deep-Net: Deep Neural Network for Cyber Security Use Cases. CoRR abs/1812.03519 (2018) - [i12]Mohammed Harun Babu R, R. Vinayakumar, Soman K. P:
A short review on Applications of Deep learning for Cyber security. CoRR abs/1812.06292 (2018) - 2017
- [j6]R. Vinayakumar
, K. P. Soman, Prabaharan Poornachandran:
Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS). Int. J. Inf. Syst. Model. Des. 8(3): 43-63 (2017) - [j5]Sowmya Viswanathan
, Govind Divakaran, Kutti Padanyl Soman:
Significance of perceptually relevant image decolorization for scene classification. J. Electronic Imaging 26(6): 63019 (2017) - [j4]V. Vishnu Pradeep, V. Sowmya
, K. P. Soman
:
Application of M-band wavelet in pan-sharpening. J. Intell. Fuzzy Syst. 32(4): 3151-3158 (2017) - [j3]V. Sowmya
, D. Govind
, K. P. Soman
:
Significance of incorporating chrominance information for effective color-to-grayscale image conversion. Signal Image Video Process. 11(1): 129-136 (2017) - [c113]