Sumit Soman

Orcid: 0000-0003-1926-3065

According to our database1, Sumit Soman authored at least 42 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unlocking Telecom Domain Knowledge Using LLMs.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Cell Tower Localisation using Graph Convolutional Networks and Positional Encoding.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023
Observations on LLMs for Telecom Domain: Capabilities and Limitations.
CoRR, 2023

Efficient Throughput Degradation Prediction in Telco Networks using Anomaly Detection.
Proceedings of the Fourteenth International Conference on Ubiquitous and Future Networks, 2023

2021
Minimal Complexity Machines Under Weight Quantization.
IEEE Trans. Computers, 2021

Kernel optimization using conformal maps for the minimal complexity machine.
Eng. Appl. Artif. Intell., 2021

Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images.
CoRR, 2021

2020
Neurodynamical classifiers with low model complexity.
Neural Networks, 2020

Sparsity in function and derivative approximation via the empirical feature space.
Inf. Sci., 2020

QMCM: Minimizing Vapnik's bound on the VC dimension.
Neurocomputing, 2020

Complexity Controlled Generative Adversarial Networks.
CoRR, 2020

An Online Learning Approach for Dengue Fever Classification.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Mobile-Augmented Smart Queue Management System for Hospitals.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Twin Neural Networks for the classification of large unbalanced datasets.
Neurocomputing, 2019

An Online Learning Approach for Dengue Fever Classification.
CoRR, 2019

Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise.
CoRR, 2019

Integrating Drug Terminologies with Hospital Management Information Systems.
Proceedings of the 10th International Conference on Computing, 2019

Learning from Low Training Data using Classifiers with Derivative Constraints.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018
Eigen-MM: EigenAnt Modified Mtsls1 for local search.
Swarm Evol. Comput., 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".
Neural Process. Lett., 2018

Radius-margin bounds for deep neural networks.
CoRR, 2018

EigenSample: A non-iterative technique for adding samples to small datasets.
Appl. Soft Comput., 2018

Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Twin Neural Networks for Efficient EEG Signal Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Streamlining Payment Workflows Using a Patient Wallet for Hospital Information Systems.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017
Large-Scale Minimal Complexity Machines Using Explicit Feature Maps.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Scalable Twin Neural Networks for Classification of Unbalanced Data.
CoRR, 2017

Learning Neural Network Classifiers with Low Model Complexity.
CoRR, 2017

Continuity of Care Document for Hospital Management Systems: an Implementation Perspective.
Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance, 2017

Deep learning for health informatics: Recent trends and future directions.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016
Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via <i>IACO</i><sub>R</sub>.
Swarm Evol. Comput., 2016

Improved sEMG signal classification using the Twin SVM.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

EigenAnt assisted IACOℝ for continuous global optimization.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

HealthAnalytic: A concept application for customizable visualization and analysis of health informatics datasets.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015
Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions.
CoRR, 2015

Benchmarking NLopt and state-of-art algorithms for Continuous Global Optimization via Hybrid IACO<sub>ℝ</sub>.
CoRR, 2015

A Neurodynamical System for finding a Minimal VC Dimension Classifier.
CoRR, 2015

High performance EEG signal classification using classifiability and the Twin SVM.
Appl. Soft Comput., 2015

The MC-ELM: Learning an ELM-like network with minimum VC dimension.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Unique Health Identifier for India: An algorithm and feasibility analysis on patient data.
Proceedings of the 17th International Conference on E-health Networking, 2015

Enhancing Incremental Ant Colony Algorithm for Continuous Global Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Enhancing IACO<sub>R</sub> Local Search by Mtsls1-BFGS for Continuous Global Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015


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