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Sumit Soman
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2020 – today
- 2024
- [c22]Jyotirmoy Banerjee
, Sanchit Goel
Cell Tower Localisation using Graph Convolutional Networks and Positional Encoding. COMAD/CODS 2024: 375-383 - [c21]Sujoy Roychowdhury, Nishkarsh Jain, Sumit Soman:
Unlocking Telecom Domain Knowledge Using LLMs. COMSNETS 2024: 267-269 - [c20]Sumit Soman, Sujoy Roychowdhury:
Observations on Building RAG Systems for Technical Documents. Tiny Papers @ ICLR 2024 - [c19]Giriprasad Sridhara, Sujoy Roychowdhury, Sumit Soman, Ranjani H. G., Ricardo Britto:
Icing on the Cake: Automatic Code Summarization at Ericsson. ICSME 2024: 689-700 - [i16]Sumit Soman, Sujoy Roychowdhury:
Observations on Building RAG Systems for Technical Documents. CoRR abs/2404.00657 (2024) - [i15]Sujoy Roychowdhury, Sumit Soman, H. G. Ranjani, Vansh Chhabra, Neeraj Gunda, Subhadip Bandyopadhyay, Sai Krishna Bala:
A Compass for Navigating the World of Sentence Embeddings for the Telecom Domain. CoRR abs/2406.12336 (2024) - [i14]Sujoy Roychowdhury, Sumit Soman, H. G. Ranjani, Neeraj Gunda, Vansh Chhabra, Sai Krishna Bala:
Evaluation of RAG Metrics for Question Answering in the Telecom Domain. CoRR abs/2407.12873 (2024) - [i13]Giriprasad Sridhara, Sujoy Roychowdhury, Sumit Soman, Ranjani H. G, Ricardo Britto:
Icing on the Cake: Automatic Code Summarization at Ericsson. CoRR abs/2408.09735 (2024) - [i12]Sujoy Roychowdhury, Sumit Soman, H. G. Ranjani, Avantika Sharma, Neeraj Gunda, Sai Krishna Bala:
Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications. CoRR abs/2408.17008 (2024) - 2023
- [c18]Sumit Soman
Observations on LLMs for Telecom Domain: Capabilities and Limitations. AIMLSystems 2023: 36:1-36:5 - [c17]Rajiv Ranjan Sinha, Satish Kumar Kolli, Sumit Soman, Koti Prasanna Kanth Maddala:
Efficient Throughput Degradation Prediction in Telco Networks using Anomaly Detection. ICUFN 2023: 515-520 - [i11]Sumit Soman, Ranjani H. G:
Observations on LLMs for Telecom Domain: Capabilities and Limitations. CoRR abs/2305.13102 (2023) - 2021
- [j12]Skyler Badge
Kernel optimization using conformal maps for the minimal complexity machine. Eng. Appl. Artif. Intell. 106: 104493 (2021) - [j11]Mayank Sharma, Sumit Soman
Minimal Complexity Machines Under Weight Quantization. IEEE Trans. Computers 70(8): 1189-1198 (2021) - [i10]Kartikeya Badola, Sameer Ambekar, Himanshu Pant, Sumit Soman, Anuradha Sural, Rajiv Narang, Suresh Chandra, Jayadeva:
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. CoRR abs/2102.07975 (2021) - 2020
- [j10]Jayadeva
QMCM: Minimizing Vapnik's bound on the VC dimension. Neurocomputing 399: 352-360 (2020) - [j9]Sumit Soman
Sparsity in function and derivative approximation via the empirical feature space. Inf. Sci. 512: 402-415 (2020) - [j8]Himanshu Pant, Sumit Soman
Neurodynamical classifiers with low model complexity. Neural Networks 132: 405-415 (2020) - [c16]Siddharth Srivastava, Sumit Soman, Astha Rai, Amarjeet Singh Cheema:
An Online Learning Approach for Dengue Fever Classification. CBMS 2020: 163-168 - [c15]Sumit Soman, Sudeep Rai, Priyesh Ranjan, Amarjeet Singh Cheema, Praveen K. Srivastava:
Mobile-Augmented Smart Queue Management System for Hospitals. CBMS 2020: 421-426 - [i9]Himanshu Pant, Jayadeva, Sumit Soman:
Complexity Controlled Generative Adversarial Networks. CoRR abs/2011.10223 (2020)
2010 – 2019
- 2019
- [j7]Jayadeva
Twin Neural Networks for the classification of large unbalanced datasets. Neurocomputing 343: 34-49 (2019) - [c14]Sumit Soman
Learning from Low Training Data using Classifiers with Derivative Constraints. COMAD/CODS 2019: 86-93 - [c13]Sumit Soman, Priyesh Ranjan, Amarjeet Singh Cheema, Praveen K. Srivastava:
Integrating Drug Terminologies with Hospital Management Information Systems. ICCCNT 2019: 1-6 - [i8]Mayank Sharma, Aayush Yadav, Sumit Soman, Jayadeva:
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise. CoRR abs/1901.11458 (2019) - [i7]Siddharth Srivastava, Sumit Soman, Astha Rai:
An Online Learning Approach for Dengue Fever Classification. CoRR abs/1904.08092 (2019) - 2018
- [j6]Jayadeva, Sumit Soman
EigenSample: A non-iterative technique for adding samples to small datasets. Appl. Soft Comput. 70: 1064-1077 (2018) - [j5]Jayadeva, Mayank Sharma, Sumit Soman
Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space - Submitted to the Special Issue on "Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition". Neural Process. Lett. 48(2): 881-913 (2018) - [j4]Udit Kumar, Sumit Soman
Eigen-MM: EigenAnt Modified Mtsls1 for local search. Swarm Evol. Comput. 43: 166-183 (2018) - [c12]Priyesh Ranjan, Sumit Soman
Streamlining Payment Workflows Using a Patient Wallet for Hospital Information Systems. CBMS 2018: 339-344 - [c11]Himanshu Pant, Sumit Soman
Twin Neural Networks for Efficient EEG Signal Classification. IJCNN 2018: 1-7 - [c10]Mayank Sharma, Sumit Soman
Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines. IJCNN 2018: 1-8 - [i6]Mayank Sharma, Jayadeva, Sumit Soman:
Radius-margin bounds for deep neural networks. CoRR abs/1811.01171 (2018) - 2017
- [j3]Mayank Sharma, Jayadeva
Large-Scale Minimal Complexity Machines Using Explicit Feature Maps. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2653-2662 (2017) - [c9]Siddharth Srivastava, Sumit Soman
Deep learning for health informatics: Recent trends and future directions. ICACCI 2017: 1665-1670 - [c8]Siddharth Srivastava, Sumit Soman
Continuity of Care Document for Hospital Management Systems: an Implementation Perspective. ICEGOV 2017: 339-345 - [i5]Himanshu Pant, Jayadeva, Sumit Soman, Mayank Sharma:
Scalable Twin Neural Networks for Classification of Unbalanced Data. CoRR abs/1705.00347 (2017) - [i4]Jayadeva, Himanshu Pant, Mayank Sharma, Abhimanyu Dubey, Sumit Soman, Sai Guruju, Nihal Goalla:
Learning Neural Network Classifiers with Low Model Complexity. CoRR abs/1707.09933 (2017) - 2016
- [j2]Udit Kumar
Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via IACOR. Swarm Evol. Comput. 27: 116-131 (2016) - [c7]Sumit Soman
HealthAnalytic: A concept application for customizable visualization and analysis of health informatics datasets. ICACCI 2016: 1033-1038 - [c6]Udit Kumar
EigenAnt assisted IACOℝ for continuous global optimization. SMC 2016: 3440-3445 - [c5]Sumit Soman
Improved sEMG signal classification using the Twin SVM. SMC 2016: 4507-4512 - 2015
- [j1]Sumit Soman
High performance EEG signal classification using classifiability and the Twin SVM. Appl. Soft Comput. 30: 305-318 (2015) - [c4]Udit Kumar
Enhancing IACOR Local Search by Mtsls1-BFGS for Continuous Global Optimization. GECCO 2015: 33-40 - [c3]Udit Kumar
Enhancing Incremental Ant Colony Algorithm for Continuous Global Optimization. GECCO (Companion) 2015: 1417-1418 - [c2]Sumit Soman
Unique Health Identifier for India: An algorithm and feasibility analysis on patient data. HealthCom 2015: 250-255 - [c1]Jayadeva, Sumit Soman
The MC-ELM: Learning an ELM-like network with minimum VC dimension. IJCNN 2015: 1-7 - [i3]Jayadeva, Sumit Soman, Amit Bhaya:
A Neurodynamical System for finding a Minimal VC Dimension Classifier. CoRR abs/1503.03148 (2015) - [i2]Udit Kumar, Sumit Soman, Jayadeva:
Benchmarking NLopt and state-of-art algorithms for Continuous Global Optimization via Hybrid IACOℝ. CoRR abs/1503.03175 (2015) - [i1]Sumit Soman, Siddharth Srivastava, Saurabh Srivastava, Nitendra Rajput:
Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions. CoRR abs/1509.01338 (2015)
Coauthor Index
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