Enhancing IACOR Local Search by Mtsls1-BFGS for Continuous Global Optimization. - Udit Kumar; Jayadeva; Sumit Soman (GECCO, 2015)

Enhancing Incremental Ant Colony Algorithm for Continuous Global Optimization. - Udit Kumar; Jayadeva; Sumit Soman (GECCO (Companion), 2015)

Unique Health Identifier for India: An algorithm and feasibility analysis on patient data. - Sumit Soman; Praveen K. Srivastava; B. K. Murthy (HealthCom, 2015)

The MC-ELM: Learning an ELM-like network with minimum VC dimension. - Jayadeva; Sumit Soman; Amit Bhaya (IJCNN, 2015)

High performance EEG signal classification using classifiability and the Twin SVM. - Sumit Soman; Jayadeva (Appl. Soft Comput., 2015)

A Neurodynamical System for finding a Minimal VC Dimension Classifier. - Jayadeva; Sumit Soman; Amit Bhaya (CoRR, 2015)

Benchmarking NLopt and state-of-art algorithms for Continuous Global Optimization via Hybrid IACOℝ. - Udit Kumar; Sumit Soman; Jayadeva (CoRR, 2015)

Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions. - Sumit Soman; Siddharth Srivastava 004; Saurabh Srivastava; Nitendra Rajput (CoRR, 2015)

HealthAnalytic: A concept application for customizable visualization and analysis of health informatics datasets. - Sumit Soman; Sushil Kumar; Sujeet Kumar (ICACCI, 2016)

EigenAnt assisted IACOℝ for continuous global optimization. - Udit Kumar; Sumit Soman; Jayadeva (SMC, 2016)

Improved sEMG signal classification using the Twin SVM. - Sumit Soman; Jayadeva; Sridhar P. Arjunan; Dinesh Kant Kumar (SMC, 2016)

Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via IACOR. - Udit Kumar; Sumit Soman; Jayadeva (Swarm Evol. Comput., 2016)

Deep learning for health informatics: Recent trends and future directions. - Siddharth Srivastava 004; Sumit Soman; Astha Rai; Praveen K. Srivastava (ICACCI, 2017)

Continuity of Care Document for Hospital Management Systems: an Implementation Perspective. - Siddharth Srivastava 004; Sumit Soman; Astha Rai; Amarjeet Singh Cheema; Praveen K. Srivastava (ICEGOV, 2017)

Learning Neural Network Classifiers with Low Model Complexity. - Jayadeva; Himanshu Pant; Mayank Sharma; Abhimanyu Dubey; Sumit Soman; Sai Guruju; Nihal Goalla (CoRR, 2017)

Scalable Twin Neural Networks for Classification of Unbalanced Data. - Himanshu Pant; Jayadeva; Sumit Soman; Mayank Sharma (CoRR, 2017)

Large-Scale Minimal Complexity Machines Using Explicit Feature Maps. - Mayank Sharma; Jayadeva; Sumit Soman; Himanshu Pant (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Streamlining Payment Workflows Using a Patient Wallet for Hospital Information Systems. - Priyesh Ranjan; Sumit Soman; Amit Kumar Ateria; Praveen K. Srivastava (CBMS, 2018)

Twin Neural Networks for Efficient EEG Signal Classification. - Himanshu Pant; Sumit Soman; Jayadeva; Mayank Sharma (IJCNN, 2018)

Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines. - Mayank Sharma; Sumit Soman; Jayadeva; Himanshu Pant (IJCNN, 2018)

EigenSample: A non-iterative technique for adding samples to small datasets. - Jayadeva; Sumit Soman; Soumya Saxena (Appl. Soft Comput., 2018)

Radius-margin bounds for deep neural networks. - Mayank Sharma; Jayadeva; Sumit Soman (CoRR, 2018)

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". - Jayadeva; Mayank Sharma; Sumit Soman; Himanshu Pant (Neural Process. Lett., 2018)

Eigen-MM: EigenAnt Modified Mtsls1 for local search. - Udit Kumar; Sumit Soman; Jayadeva (Swarm Evol. Comput., 2018)

Learning from Low Training Data using Classifiers with Derivative Constraints. - Sumit Soman; Jayadeva (COMAD/CODS, 2019)

Integrating Drug Terminologies with Hospital Management Information Systems. - Sumit Soman; Priyesh Ranjan; Amarjeet Singh Cheema; Praveen K. Srivastava (ICCCNT, 2019)

Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise. - Mayank Sharma; Aayush Yadav; Sumit Soman; Jayadeva (CoRR, 2019)

An Online Learning Approach for Dengue Fever Classification. - Siddharth Srivastava 004; Sumit Soman; Astha Rai (CoRR, 2019)

Twin Neural Networks for the classification of large unbalanced datasets. - Jayadeva; Himanshu Pant; Mayank Sharma; Sumit Soman (Neurocomputing, 2019)

Mobile-Augmented Smart Queue Management System for Hospitals. - Sumit Soman; Sudeep Rai; Priyesh Ranjan; Amarjeet Singh Cheema; Praveen K. Srivastava (CBMS, 2020)

An Online Learning Approach for Dengue Fever Classification. - Siddharth Srivastava 004; Sumit Soman; Astha Rai; Amarjeet Singh Cheema (CBMS, 2020)

Complexity Controlled Generative Adversarial Networks. - Himanshu Pant; Jayadeva; Sumit Soman (CoRR, 2020)

QMCM: Minimizing Vapnik's bound on the VC dimension. - Jayadeva; Sumit Soman; Himanshu Pant; Mayank Sharma (Neurocomputing, 2020)

Sparsity in function and derivative approximation via the empirical feature space. - Sumit Soman; Jayadeva; Rajat Thakur; Mayank Sharma; Suresh Chandra 001 (Inf. Sci., 2020)

Neurodynamical classifiers with low model complexity. - Himanshu Pant; Sumit Soman; Jayadeva; Amit Bhaya (Neural Networks, 2020)

Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images. - Kartikeya Badola; Sameer Ambekar; Himanshu Pant; Sumit Soman; Anuradha Sural; Rajiv Narang; Suresh Chandra 001; Jayadeva (CoRR, 2021)

Kernel optimization using conformal maps for the minimal complexity machine. - Skyler Badge; Sumit Soman; Suresh Chandra 001; Jayadeva (Eng. Appl. Artif. Intell., 2021)

Minimal Complexity Machines Under Weight Quantization. - Mayank Sharma; Sumit Soman; Jayadeva (IEEE Trans. Computers, 2021)

Observations on LLMs for Telecom Domain: Capabilities and Limitations. - Sumit Soman; H. G. Ranjani (AIMLSystems, 2023)

Efficient Throughput Degradation Prediction in Telco Networks using Anomaly Detection. - Rajiv Ranjan Sinha; Satish Kumar Kolli; Sumit Soman; Koti Prasanna Kanth Maddala (ICUFN, 2023)

Cell Tower Localisation using Graph Convolutional Networks and Positional Encoding. - Jyotirmoy Banerjee; Sanchit Goel; Sumit Soman; Roopesh Mangal; Sunil Kumar Vuppala (COMAD/CODS, 2024)

Unlocking Telecom Domain Knowledge Using LLMs. - Sujoy Roychowdhury; Nishkarsh Jain; Sumit Soman (COMSNETS, 2024)

Observations on Building RAG Systems for Technical Documents. - Sumit Soman; Sujoy Roychowdhury (Tiny Papers @ ICLR, 2024)

Icing on the Cake: Automatic Code Summarization at Ericsson. - Giriprasad Sridhara; Sujoy Roychowdhury; Sumit Soman; Ranjani H. G.; Ricardo Britto 001 (ICSME, 2024)

A Compass for Navigating the World of Sentence Embeddings for the Telecom Domain. - Sujoy Roychowdhury; Sumit Soman; H. G. Ranjani; Vansh Chhabra; Neeraj Gunda; Subhadip Bandyopadhyay; Sai Krishna Bala (CoRR, 2024)

Evaluation of RAG Metrics for Question Answering in the Telecom Domain. - Sujoy Roychowdhury; Sumit Soman; H. G. Ranjani; Neeraj Gunda; Vansh Chhabra; Sai Krishna Bala (CoRR, 2024)

Icing on the Cake: Automatic Code Summarization at Ericsson. - Giriprasad Sridhara; Sujoy Roychowdhury; Sumit Soman; Ranjani H. G; Ricardo Britto 001 (CoRR, 2024)

Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications. - Sujoy Roychowdhury; Sumit Soman; H. G. Ranjani; Avantika Sharma; Neeraj Gunda; Sai Krishna Bala (CoRR, 2024)

Knowledge Distillation of Domain-adapted LLMs for Question-Answering in Telecom. - Rishika Sen; Sujoy Roychowdhury; Sumit Soman; H. G. Ranjani; Srikhetra Mohanty (CoRR, 2025)

Intelligibility of Text-to-Speech Systems for Mathematical Expressions. - Sujoy Roychowdhury; H. G. Ranjani; Sumit Soman; Nishtha Paul; Subhadip Bandyopadhyay; Siddhanth Iyengar (CoRR, 2025)

A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents. - Sumit Soman; H. G. Ranjani; Sujoy Roychowdhury; Venkata Dharma Surya Narayana Sastry; Akshat Jain; Pranav Gangrade; Ayaaz Khan (CoRR, 2025)