Snehanshu Saha

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 96

Top Venues

Publications

Santonu Sarkar, Shanay Mehta, Nicole Fernandes, Jyotirmoy Sarkar, Snehanshu Saha
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study. CoRR (2024)
Aditi Seetha, Satyendra Singh Chouhan, Emmanuel S. Pilli, Vaskar Raychoudhury, Snehanshu Saha
DiEvD-SF: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Aditya Challa, Sravan Danda, Laurent Najman, Snehanshu Saha
Quantile Activation: departing from single point estimation for better generalization across distortions. CoRR (2024)
Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Preyank Mota, Santonu Sarkar
quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method. IEEE Trans. Artif. Intell. 5 (8) (2024)
Rahul Yedida, Snehanshu Saha
Strong convexity-guided hyper-parameter optimization for flatter losses. CoRR (2024)
Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur
DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries. CoRR (2023)
Sourabh Patil, Archana Mathur, Raviprasad Aduri, Snehanshu Saha
A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters. CoRR (2023)
Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha
To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks. CoRR (2023)
Jyotirmoy Sarkar, Snehanshu Saha, Santonu Sarkar
Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches. Appl. Intell. 53 (8) (2023)
Sudeepa Roy Dey, Archana Mathur, B. S. Dayasagar, Snehanshu Saha
ALIS: A novel metric in lineage-independent evaluation of scholars. J. Inf. Sci. 49 (4) (2023)
Pronoma Banerjee, Manasi V. Gude, Rajvi J. Sampat, Sharvari M. Hedaoo, Soma S. Dhavala, Snehanshu Saha
Correcting Model Misspecification via Generative Adversarial Networks. CoRR (2023)
Yash Gondhalekar, Margarita Safonova, Snehanshu Saha
β-SGP: Scaled Gradient Projection with β-divergence for astronomical image restoration. Astron. Comput. 44 (2023)
Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Janick Edinger, Roger O. Smith, Md. Osman Gani
Automated Surface Classification System Using Vibration Patterns - A Case Study With Wheelchairs. IEEE Trans. Artif. Intell. 4 (4) (2023)
Gargi Alavani, Jineet Desai, Snehanshu Saha, Santonu Sarkar
Program Analysis and Machine Learning-based Approach to Predict Power Consumption of CUDA Kernel. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8 (4) (2023)
Nikhilanand Arya, Archana Mathur, Snehanshu Saha, Sriparna Saha
Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Prajwal Melath, Ayush Raj, Sougata Sen, Snehanshu Saha, Surjya Ghosh
Towards Efficient Emotion Self-report Collection Using Human-AI Collaboration: A Case Study on Smartphone Keyboard Interaction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (2) (2023)
Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Santonu Sarkar, Preyank Mota
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data. CoRR (2023)
Aditya Challa, Snehanshu Saha, Soma S. Dhavala
Decoupling Quantile Representations from Loss Functions. CoRR (2023)
Sumana Sinha, Snehanshu Saha
An improved communication strategy in vehicular ad hoc networks: adaptive game theoretic modelling approach. Int. J. Mob. Commun. 21 (2) (2023)
Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 6 (2) (2022)
Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das
HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. ICONIP (1) (2022)
Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj
Fairly Constricted Multi-objective Particle Swarm Optimization. ICONIP (4) (2022)
Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
Estimation and Applications of Quantiles in Deep Binary Classification. IEEE Trans. Artif. Intell. 3 (2) (2022)
Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh
A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. ICONIP (5) (2022)
John Hata, Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Huy Tran Quang
Study of Heterogeneous User Behavior in Crowd Evacuation in Presence of Wheelchair Users. PAAMS (2022)
Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha, Raviprasad Aduri
LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Aryaman Jeendgar, Aditya Pola, Soma S. Dhavala, Snehanshu Saha
LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks. CoRR (2022)
Aishwarya Manjunath, Vaskar Raychoudhury, Snehanshu Saha, Saibal Kar, Anusha Kamath
CARE-Share: A Cooperative and Adaptive Strategy for Distributed Taxi Ride Sharing. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Abhijeet Swain, Vaibhav Ganatra, Snehanshu Saha, Archana Mathur, Rekha Phadke
P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem. ICONIP (7) (2022)
Shashank Sanjay Bhat, Prabu Thiagaraj, Ben Stappers, Atul Ghalame, Snehanshu Saha, T. S. B. Sudarshan, Zafiirah Hosenie
Investigation of a Machine learning methodology for the SKA pulsar search pipeline. CoRR (2022)
Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das
Hamiltonian Monte Carlo Particle Swarm Optimizer. CoRR (2022)
Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
Estimation and Applications of Quantiles in Deep Binary Classification. CoRR (2021)
Anwesh Bhattacharya, Snehanshu Saha
Fairly Constricted Particle Swarm Optimization. CoRR (2021)
Pragnya Sridhar, Deepika Karanji, Gambhire Swati Sampatrao, Sravan Danda, Snehanshu Saha
Semantic Influence Score: Tracing Beautiful Minds Through Knowledge Diffusion and Derivative Works. DEXA Workshops (2021)
Kanchan Jha, Sriparna Saha, Snehanshu Saha
Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations. IJCNN (2021)
Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya, Snehanshu Saha
A Swarm Variant for the Schrödinger Solver. IJCNN (2021)
Ishita Mediratta, Snehanshu Saha, Shubhad Mathur
LipARELU: ARELU Networks aided by Lipschitz Acceleration. IJCNN (2021)
Patnala Prudhvi Raj, Snehanshu Saha, Gowri Srinivasa
Solving the N-Queens and Golomb Ruler Problems Using DQN and an Approximation of the Convergence. ICONIP (6) (2021)
Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh
Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform. IEA/AIE (2) (2021)
Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya, Snehanshu Saha
A Swarm Variant for the Schrödinger Solver. CoRR (2021)
Jyotirmoy Sarkar, Santonu Sarkar, Snehanshu Saha, Swagatam Das
d-BTAI: The Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems. IEA/AIE (2) (2021)
Rahul Yedida, Snehanshu Saha, Tejas Prashanth
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence. Appl. Intell. 51 (3) (2021)
Jyotirmoy Sarkar, Kartik Bhatia, Snehanshu Saha, Margarita Safonova, Santonu Sarkar
Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method. CoRR (2021)
Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha
Dynamic Taxi Ride-Sharing Through Adaptive Request Propagation Using Regional Taxi Demand and Supply. MobiQuitous (2021)
Snehanshu Saha, Archana Mathur, Aditya Pandey, Harshith Arun Kumar
DiffAct: A Unifying Framework for Activation Functions. IJCNN (2021)
Ankush Mishra, Snehanshu Saha, Simran Makhija, Sumana Sinha, Vaskar Raychoudhury, Sobin C. C.
Empirical study of dynamics of amoebiasis transmission in mobile ad hoc networks (MANETs). Int. J. Commun. Syst. 33 (2) (2020)
Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha
Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. IJCNN (2020)
Suryoday Basak, Snehanshu Saha, Archana Mathur, Kakoli Bora, Simran Makhija, Margarita Safonova, Surbhi Agrawal
CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets. Astron. Comput. 30 (2020)
Aishwarya Manjunath, Vaskar Raychoudhury, Snehanshu Saha
Ant-Taxi to Pie-Passenger: Optimizing Routes and Time for Distributed Taxi Ride Sharing. COMSNETS (2020)
Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. IJCNN (2020)
Rohan Mohapatra, Snehanshu Saha, Soma S. Dhavala
AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients. CoRR (2020)
Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala
LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. CoRR (2020)
Anwesh Bhattacharya, Snehanshu Saha, Mousumi Das
Detection of Double-Nuclei Galaxies in SDSS. CoRR (2020)
Shrawani Silwal, Vaskar Raychoudhury, Snehanshu Saha, Md. Osman Gani
A Dynamic Taxi Ride Sharing System Using Particle Swarm Optimization. MASS (2020)
Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha
Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. CoRR (2020)
Snehanshu Saha, Saibal Kar
Special Issue on Machine Learning in Scientometrics. J. Sci. Res. 8 (2s) (2019)
Simran Makhija, Snehanshu Saha, Suryoday Basak, M. Das
Separating stars from quasars: Machine learning investigation using photometric data. Astron. Comput. 29 (2019)
Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj
ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification. CoRR (2019)
Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets. CoRR (2019)
Rahul Yedida, Snehanshu Saha
A novel adaptive learning rate scheduler for deep neural networks. CoRR (2019)
Sumana Sinha, Snehanshu Saha, Sudeepta Mishra
COR-HR: an efficient hybrid routing approach using coefficient of restitution in MANET. ICDCN (2019)
Archana Mathur, Snehanshu Saha, Saibal Kar, Gouri Ginde, Ankit Sinha
SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing. J. Sci. Res. 8 (2s) (2019)
Archana Mathur, Snehanshu Saha, Poulami Sarkar, Saibal Kar, Suryoday Basak
Time Reversed Delay Differential Equation Based Modeling of Journal Influence in An Emerging Area. J. Integr. Des. Process. Sci. 23 (3) (2019)
Bidisha Goswami, Jyotirmoy Sarkar, Snehanshu Saha, Saibal Kar, Poulami Sarkar
ALVEC: Auto-scaling by Lotka Volterra elastic cloud: A QoS aware non linear dynamical allocation model. Simul. Model. Pract. Theory 93 (2019)
Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire
Use of NoSQL Database and Visualization Techniques to Analyze Massive Scholarly Article Data from Journals. J. Sci. Res. 7 (2) (2018)
Sandra Anil, Abu Kurian, Sudeepa Roy Dey, Snehanshu Saha, Ankit Sinha
Genealogy Tree: Understanding Academic Lineage of Authors via Algorithmic and Visual Analysis. J. Sci. Res. 7 (2) (2018)
Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire
Use of NoSQL database and visualization techniques to analyze massive scholarly article data from journals. CoRR (2018)
Sandra Anil, Abu Kurian, Sudeepa Roy Dey, Snehanshu Saha, Ankit Sinha
Genealogy tree: understanding academic lineage of authors via algorithmic and visual analysis. CoRR (2018)
Snehanshu Saha, Suryoday Basak, Margarita Safonova, Kakoli Bora, Surbhi Agrawal, Poulami Sarkar, Jayant Murthy
Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets. Astron. Comput. 23 (2018)
Poulami Sarkar, Snehanshu Saha, Archana Mathur, Rahul Aedula, Saibal Kar, Surbhi Agrawal, Kakoli Bora
Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area. CoRR (2018)
Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha
Addressing space-constraint driven selfishness in smart opportunistic environment. Int. J. Commun. Syst. 31 (14) (2018)
Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak, Surbhi Agrawal
A New Activation Function for Artificial Neural Net Based Habitability Classification. ICACCI (2018)
Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta, Surbhi Agrawal, Snehanshu Saha
Machine Learning in Astronomy: A Case Study in Quasar-Star Classification. CoRR (2018)
Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak
SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification. CoRR (2018)
Bidisha Goswami, Jyotirmoy Sarkar, Snehanshu Saha, Saibal Kar, Poulami Sarkar
ALVEC: Auto-scaling by Lotka Volterra Elastic Cloud: A QoS aware Non Linear Dynamical Allocation Model. CoRR (2018)
Manikandan. R, Krishna Madgula, Snehanshu Saha
TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields. SemEval@NAACL-HLT (2018)
Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak
Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area. J. Sci. Res. 7 (1) (2018)
Abhijit Theophilus, Snehanshu Saha, Suryoday Basak, Jayant Murthy
A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions. SSCI (2018)
Jyotirmoy Sarkar, Bidisha Goswami, Snehanshu Saha, Saibal Kar
CD-SFA: stochastic frontier analysis approach to revenue modelling in large cloud data centres. Int. J. Commun. Networks Distributed Syst. 21 (3) (2018)
Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak
Model Visualization in understanding rapid growth of a journal in an emerging area. CoRR (2018)
Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha
An Incentive-Based Scheme for Mitigating Node Selfishness in Smart Opportunistic Mobile Networks. Wirel. Pers. Commun. 96 (3) (2017)
Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha
An Energy-efficient and Buffer-aware Routing Protocol for Opportunistic Smart Traffic Management. ICDCN (2017)
Anisha R. Yarlapati, Sudeepa Roy Dey, Snehanshu Saha
Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach. SMARTCOMP (2017)
Gambhire Swati Sampatrao, Sudeepa Roy Dey, Bidisha Goswami, Sai Prasanna M. S, Snehanshu Saha
A study of revenue cost dynamics in large data centers: a factorial design approach. ICC (2017)
Bhoomika Agarwal, Abhiram Ravikumar, Snehanshu Saha
A Novel Approach to Big Data Veracity Using Crowdsourcing Techniques and Bayesian Predictors. ICMLA (2016)
Jyotirmoy Sarkar, Bidisha Goswami, Snehanshu Saha, Saibal Kar
CDSFA Stochastic Frontier Analysis Approach to Revenue Modeling in Large Cloud Data Centers. CoRR (2016)
Gouri Ginde, Snehanshu Saha, Archana Mathur, Sukrit Venkatagiri, Sujith Vadakkepat, Anand M. Narasimhamurthy, B. S. Daya Sagar
ScientoBASE: A Framework and Model for Computing Scholastic Indicators of non-local influence of Journals via Native Data Acquisition algorithms. CoRR (2016)
Sobin C. C., Snehanshu Saha, Vaskar Raychoudhury, Hategekimana Fidele, Sumana Sinha
CISER: An Amoebiasis inspired Model for Epidemic Message Propagation in DTN. CoRR (2016)
Gouri Ginde, Snehanshu Saha, Archana Mathur, Sukrit Venkatagiri, Sujith Vadakkepat, Anand M. Narasimhamurthy, B. S. Daya Sagar
ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms. Scientometrics 108 (3) (2016)
Luckyson Khaidem, Snehanshu Saha, Sudeepa Roy Dey
Predicting the direction of stock market prices using random forest. CoRR (2016)
Gambhire Swati Sampatrao, Sudeepa Roy Dey, Bidisha Goswami, Sai Prasanna M. S, Snehanshu Saha
A Study of Revenue Cost Dynamics in Large Data Centers: A Factorial Design Approach. CoRR (2016)
Snehanshu Saha, Jyotirmoy Sarkar, Avantika Dwivedi, Nandita Dwivedi, Anand M. Narasimhamurthy, Ranjan Roy, Shrisha Rao
Erratum to: A novel revenue optimization model to address the operation and maintenance cost of a data center. J. Cloud Comput. 5 (2016)
Kakoli Bora, Snehanshu Saha, Surbhi Agrawal, Margarita Safonova, Swati Routh, Anand M. Narasimhamurthy
CD-HPF: New habitability score via data analytic modeling. Astron. Comput. 17 (2016)
Snehanshu Saha, Neelam Jangid, Archana Mathur, M. N. Anand
DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative Approach. CoRR (2016)
Snehanshu Saha, Jyotirmoy Sarkar, Avantika Dwivedi, Nandita Dwivedi, Anand M. Narasimhamurthy, Ranjan Roy
A novel revenue optimization model to address the operation and maintenance cost of a data center. J. Cloud Comput. 5 (2016)
Bhoomika Agarwal, Abhiram Ravikumar, Snehanshu Saha
A Novel Approach to Big Data Veracity using Crowdsourcing Techniques and Bayesian Predictors. COMPUTE (2016)
Sarasvathi V., Snehanshu Saha, N. Ch. S. N. Iyengar, Mahalaxmi Koti
Coefficient of Restitution based Cross Layer Interference Aware Routing Protocol in Wireless Mesh Networks. CoRR (2015)
Snehanshu Saha, Surbhi Agrawal, Manikandan. R, Kakoli Bora, Swati Routh, Anand M. Narasimhamurthy
ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy. CoRR (2015)
Kusuma Mohanchandra, Snehanshu Saha, K. Srikanta Murthy, G. M. Lingaraju
Distinct adoption of k-nearest neighbour and support vector machine in classifying EEG signals of mental tasks. Int. J. Intell. Eng. Informatics 3 (4) (2015)
Snehanshu Saha, Bhoomika Agarwal, Priyal Mehta
Teaching Advanced Algebra to Engineering Majors: Dealing with the classroom challenges. WCI (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Snehanshu Saha