Snehanshu Saha

134 papers A 2B 11C 2Misc 5Journal 92Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Matching High-Dimensional Geometric Quantiles for Test-Time Adaptation of Transformers and Convolutional Networks Alike. CoRR Sravan Danda, Aditya Challa, Shlok Mehendale, Snehanshu Saha
2025	A	`conf`	Adaptive GPU Power Capping: Balancing Energy Efficiency, Thermal Control and Performance. HPDC Tanish Desai, Jainam Shah, Gargi Alavani, Snehanshu Saha, Santonu Sarkar
2025	J	`jnl`	Altruistic Ride Sharing: A Community-Driven Approach to Short-Distance Mobility. CoRR Divyanshu Singh, Ashman Mehra, Snehanshu Saha, Santonu Sarkar
2025	J	`jnl`	DiffusionScore: A Framework for Assessing Institutional Research Impact Through Influence Diffusion. IEEE Access Gambhire Swati Sampatrao, Anisha Khetan, Nithin Nagaraj, Snehanshu Saha, Sudeepa Roy Dey, Archana Mathur
2025	—	`conf`	Influence of Demographics and Personality Traits on Physiological Responses to Improve Continuous Emotion Annotation in Video Applications. CHI Extended Abstracts Swarnali Banik, Sougata Sen, Snehanshu Saha, Surjya Ghosh
2025	J	`jnl`	Non-Negative Matrix Factorization in Recommender Models: Concept, Survey, and Future Direction. IEEE Access Rachana Mehta, Shakti Mishra, Snehanshu Saha
2025	J	`jnl`	Onto Proximality in Non Negative Matrix Factorization for Recommender Systems. IEEE Access Rachana Mehta, Shakti Mishra, Snehanshu Saha
2025	Misc	`conf`	PResCon: Physiological Response Augmented Continuous Emotion Annotation Tool. COMSNETS Swarnali Banik, Akhilesh Adithya, Bivas Mitra, Sougata Sen, Snehanshu Saha, Surjya Ghosh
2025	J	`jnl`	Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania. IEEE Access Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar
2025	J	`jnl`	Quantile Activation: Correcting a failure mode of traditional ML models. Trans. Mach. Learn. Res. Aditya Challa, Sravan Danda, Laurent Najman, Snehanshu Saha
2025	J	`jnl`	Radon-Nikodým Derivative: Re-imagining Anomaly Detection from a Measure Theoretic Perspective. CoRR Shlok Mehendale, Aditya Challa, Rahul Yedida, Sravan Danda, Santonu Sarkar, Snehanshu Saha
2025	J	`jnl`	Spatial Distribution of Poverty Clusters and Its Prediction Algorithms: A Visual Analytics Approach to Understanding the Disparities of Poverty Across Zones. IEEE Access Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Fidele Ruganzu Uwimbabazi
2024	J	`jnl`	A Granger-Causal Perspective on Gradient Descent with Application to Pruning. CoRR Aditya Shah, Aditya Challa, Sravan Danda, Archana Mathur, Snehanshu Saha
2024	J	`jnl`	AdaGen: Adaptive Generalized Knowledge Transfer Framework for Sensor-Based Surface Classification for Wheelchair Routing. SN Comput. Sci. Vihaan Misra, Shivashankar S. Menon, Snehanshu Saha, Archana Mathur, Haoxiang Yu, Vaskar Raychoudhury
2024	J	`jnl`	Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study. CoRR Santonu Sarkar, Shanay Mehta, Nicole Fernandes, Jyotirmoy Sarkar, Snehanshu Saha
2024	B	`conf`	DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries. IJCNN Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur
2024	J	`jnl`	DiEvD-SF: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting. IEEE Trans. Comput. Soc. Syst. Aditi Seetha, Satyendra Singh Chouhan, Emmanuel S. Pilli, Vaskar Raychoudhury, Snehanshu Saha
2024	B	`conf`	Estimating Power Consumption of GPU Application Using Machine Learning Tool. ICTAI Gargi Alavani Prabhu, Tanish Desai, Sharvil Potdar, Nayan Gogari, Snehanshu Saha, Santonu Sarkar
2024	B	`conf`	Improving Continuous Emotion Annotation in Video Platforms via Physiological Response Profiling. ACII Swarnali Banik, Sougata Sen, Snehanshu Saha, Surjya Ghosh
2024	J	`jnl`	Last Mile: A Novel, Hotspot-Based Distributed Path-Sharing Network for Food Deliveries. IEEE Trans. Intell. Transp. Syst. Ashman Mehra, Divyanshu Singh, Vaskar Raychoudhury, Archana Mathur, Snehanshu Saha
2024	A	`conf`	QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier. UAI Aditya Challa, Soma S. Dhavala, Snehanshu Saha
2024	J	`jnl`	Quantile Activation: departing from single point estimation for better generalization across distortions. CoRR Aditya Challa, Sravan Danda, Laurent Najman, Snehanshu Saha
2024	—	`conf`	Self-SLAM: A Self-supervised Learning Based Annotation Method to Reduce Labeling Overhead. ECML/PKDD (9) Alfiya M. Shaikh, Hrithik Nambiar, Kshitish Ghate, Swarnali Banik, Sougata Sen, Surjya Ghosh, Vaskar Raychoudhury, Niloy Ganguly, Snehanshu Saha
2024	J	`jnl`	Strong convexity-guided hyper-parameter optimization for flatter losses. CoRR Rahul Yedida, Snehanshu Saha
2024	J	`jnl`	Towards Reducing Continuous Emotion Annotation Effort During Video Consumption: A Physiological Response Profiling Approach. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Swarnali Banik, Sougata Sen, Snehanshu Saha, Surjya Ghosh
2024	J	`jnl`	quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method. IEEE Trans. Artif. Intell. Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Preyank Mota, Santonu Sarkar
2023	J	`jnl`	A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters. CoRR Sourabh Patil, Archana Mathur, Raviprasad Aduri, Snehanshu Saha
2023	J	`jnl`	ALIS: A novel metric in lineage-independent evaluation of scholars. J. Inf. Sci. Sudeepa Roy Dey, Archana Mathur, B. S. Dayasagar, Snehanshu Saha
2023	J	`jnl`	An improved communication strategy in vehicular ad hoc networks: adaptive game theoretic modelling approach. Int. J. Mob. Commun. Sumana Sinha, Snehanshu Saha
2023	J	`jnl`	Automated Surface Classification System Using Vibration Patterns - A Case Study With Wheelchairs. IEEE Trans. Artif. Intell. Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Janick Edinger, Roger O. Smith, Md. Osman Gani
2023	J	`jnl`	Correcting Model Misspecification via Generative Adversarial Networks. CoRR Pronoma Banerjee, Manasi V. Gude, Rajvi J. Sampat, Sharvari M. Hedaoo, Soma S. Dhavala, Snehanshu Saha
2023	J	`jnl`	Decoupling Quantile Representations from Loss Functions. CoRR Aditya Challa, Snehanshu Saha, Soma S. Dhavala
2023	J	`jnl`	DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries. CoRR Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur
2023	J	`jnl`	Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches. Appl. Intell. Jyotirmoy Sarkar, Snehanshu Saha, Santonu Sarkar
2023	J	`jnl`	Program Analysis and Machine Learning-based Approach to Predict Power Consumption of CUDA Kernel. ACM Trans. Model. Perform. Evaluation Comput. Syst. Gargi Alavani, Jineet Desai, Snehanshu Saha, Santonu Sarkar
2023	J	`jnl`	Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. Nikhilanand Arya, Archana Mathur, Snehanshu Saha, Sriparna Saha
2023	J	`jnl`	Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data. CoRR Snehanshu Saha, Jyotirmoy Sarkar, Soma S. Dhavala, Santonu Sarkar, Preyank Mota
2023	J	`jnl`	To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks. CoRR Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha
2023	J	`jnl`	Towards Efficient Emotion Self-report Collection Using Human-AI Collaboration: A Case Study on Smartphone Keyboard Interaction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Prajwal Melath, Ayush Raj, Sougata Sen, Snehanshu Saha, Surjya Ghosh
2023	J	`jnl`	β-SGP: Scaled Gradient Projection with β-divergence for astronomical image restoration. Astron. Comput. Yash Gondhalekar, Margarita Safonova, Snehanshu Saha
2022	—	`conf`	A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. ICONIP (5) Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh
2022	J	`jnl`	AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha
2022	J	`jnl`	CARE-Share: A Cooperative and Adaptive Strategy for Distributed Taxi Ride Sharing. IEEE Trans. Intell. Transp. Syst. Aishwarya Manjunath, Vaskar Raychoudhury, Snehanshu Saha, Saibal Kar, Anusha Kamath
2022	J	`jnl`	Estimation and Applications of Quantiles in Deep Binary Classification. IEEE Trans. Artif. Intell. Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
2022	—	`conf`	Fairly Constricted Multi-objective Particle Swarm Optimization. ICONIP (4) Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj
2022	—	`conf`	HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. ICONIP (1) Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das
2022	J	`jnl`	Hamiltonian Monte Carlo Particle Swarm Optimizer. CoRR Omatharv Bharat Vaidya, Rithvik Terence DSouza, Snehanshu Saha, Soma S. Dhavala, Swagatam Das
2022	J	`jnl`	Investigation of a Machine learning methodology for the SKA pulsar search pipeline. CoRR Shashank Sanjay Bhat, Prabu Thiagaraj, Ben Stappers, Atul Ghalame, Snehanshu Saha, T. S. B. Sudarshan, Zafiirah Hosenie
2022	J	`jnl`	LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha, Raviprasad Aduri
2022	J	`jnl`	LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks. CoRR Aryaman Jeendgar, Aditya Pola, Soma S. Dhavala, Snehanshu Saha
2022	—	`conf`	P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem. ICONIP (7) Abhijeet Swain, Vaibhav Ganatra, Snehanshu Saha, Archana Mathur, Rekha Phadke
2022	Misc	`conf`	Study of Heterogeneous User Behavior in Crowd Evacuation in Presence of Wheelchair Users. PAAMS John Hata, Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Huy Tran Quang
2021	B	`conf`	A Swarm Variant for the Schrödinger Solver. IJCNN Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya, Snehanshu Saha
2021	J	`jnl`	A Swarm Variant for the Schrödinger Solver. CoRR Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya, Snehanshu Saha
2021	B	`conf`	DiffAct: A Unifying Framework for Activation Functions. IJCNN Snehanshu Saha, Archana Mathur, Aditya Pandey, Harshith Arun Kumar
2021	C	`conf`	Dynamic Taxi Ride-Sharing Through Adaptive Request Propagation Using Regional Taxi Demand and Supply. MobiQuitous Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha
2021	J	`jnl`	Estimation and Applications of Quantiles in Deep Binary Classification. CoRR Anuj Tambwekar, Anirudh Maiya, Soma S. Dhavala, Snehanshu Saha
2021	J	`jnl`	Fairly Constricted Particle Swarm Optimization. CoRR Anwesh Bhattacharya, Snehanshu Saha
2021	—	`conf`	Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform. IEA/AIE (2) Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh
2021	B	`conf`	LipARELU: ARELU Networks aided by Lipschitz Acceleration. IJCNN Ishita Mediratta, Snehanshu Saha, Shubhad Mathur
2021	J	`jnl`	LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence. Appl. Intell. Rahul Yedida, Snehanshu Saha, Tejas Prashanth
2021	J	`jnl`	Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method. CoRR Jyotirmoy Sarkar, Kartik Bhatia, Snehanshu Saha, Margarita Safonova, Santonu Sarkar
2021	B	`conf`	Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations. IJCNN Kanchan Jha, Sriparna Saha, Snehanshu Saha
2021	—	`conf`	Semantic Influence Score: Tracing Beautiful Minds Through Knowledge Diffusion and Derivative Works. DEXA Workshops Pragnya Sridhar, Deepika Karanji, Gambhire Swati Sampatrao, Sravan Danda, Snehanshu Saha
2021	—	`conf`	Solving the N-Queens and Golomb Ruler Problems Using DQN and an Approximation of the Convergence. ICONIP (6) Patnala Prudhvi Raj, Snehanshu Saha, Gowri Srinivasa
2021	—	`conf`	d-BTAI: The Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems. IEA/AIE (2) Jyotirmoy Sarkar, Santonu Sarkar, Snehanshu Saha, Swagatam Das
2020	B	`conf`	A Dynamic Taxi Ride Sharing System Using Particle Swarm Optimization. MASS Shrawani Silwal, Vaskar Raychoudhury, Snehanshu Saha, Md. Osman Gani
2020	J	`jnl`	AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients. CoRR Rohan Mohapatra, Snehanshu Saha, Soma S. Dhavala
2020	Misc	`conf`	Ant-Taxi to Pie-Passenger: Optimizing Routes and Time for Distributed Taxi Ride Sharing. COMSNETS Aishwarya Manjunath, Vaskar Raychoudhury, Snehanshu Saha
2020	J	`jnl`	CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets. Astron. Comput. Suryoday Basak, Snehanshu Saha, Archana Mathur, Kakoli Bora, Simran Makhija, Margarita Safonova, Surbhi Agrawal
2020	J	`jnl`	Detection of Double-Nuclei Galaxies in SDSS. CoRR Anwesh Bhattacharya, Snehanshu Saha, Mousumi Das
2020	J	`jnl`	Empirical study of dynamics of amoebiasis transmission in mobile ad hoc networks (MANETs). Int. J. Commun. Syst. Ankush Mishra, Snehanshu Saha, Simran Makhija, Sumana Sinha, Vaskar Raychoudhury, Sobin C. C.
2020	B	`conf`	LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. IJCNN Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala
2020	J	`jnl`	LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. CoRR Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala
2020	B	`conf`	Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. IJCNN Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha
2020	J	`jnl`	Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. CoRR Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha
2019	J	`jnl`	A novel adaptive learning rate scheduler for deep neural networks. CoRR Rahul Yedida, Snehanshu Saha
2019	J	`jnl`	ALVEC: Auto-scaling by Lotka Volterra elastic cloud: A QoS aware non linear dynamical allocation model. Simul. Model. Pract. Theory Bidisha Goswami, Jyotirmoy Sarkar, Snehanshu Saha, Saibal Kar, Poulami Sarkar
2019	Misc	`conf`	COR-HR: an efficient hybrid routing approach using coefficient of restitution in MANET. ICDCN Sumana Sinha, Snehanshu Saha, Sudeepta Mishra
2019	J	`jnl`	ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification. CoRR Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj
2019	J	`jnl`	Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets. CoRR Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida
2019	J	`jnl`	SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing. J. Sci. Res. Archana Mathur, Snehanshu Saha, Saibal Kar, Gouri Ginde, Ankit Sinha
2019	J	`jnl`	Separating stars from quasars: Machine learning investigation using photometric data. Astron. Comput. Simran Makhija, Snehanshu Saha, Suryoday Basak, M. Das
2019	J	`jnl`	Special Issue on Machine Learning in Scientometrics. J. Sci. Res. Snehanshu Saha, Saibal Kar
2019	J	`jnl`	Time Reversed Delay Differential Equation Based Modeling of Journal Influence in An Emerging Area. J. Integr. Des. Process. Sci. Archana Mathur, Snehanshu Saha, Poulami Sarkar, Saibal Kar, Suryoday Basak
2018	—	`conf`	A New Activation Function for Artificial Neural Net Based Habitability Classification. ICACCI Snehanshu Saha, Archana Mathur, Kakoli Bora, Suryoday Basak, Surbhi Agrawal
2018	—	`conf`	A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions. SSCI Abhijit Theophilus, Snehanshu Saha, Suryoday Basak, Jayant Murthy
2018	J	`jnl`	ALVEC: Auto-scaling by Lotka Volterra Elastic Cloud: A QoS aware Non Linear Dynamical Allocation Model. CoRR Bidisha Goswami, Jyotirmoy Sarkar, Snehanshu Saha, Saibal Kar, Poulami Sarkar
2018	J	`jnl`	Addressing space-constraint driven selfishness in smart opportunistic environment. Int. J. Commun. Syst. Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha
2018	J	`jnl`	CD-SFA: stochastic frontier analysis approach to revenue modelling in large cloud data centres. Int. J. Commun. Networks Distributed Syst. Jyotirmoy Sarkar, Bidisha Goswami, Snehanshu Saha, Saibal Kar
2018	J	`jnl`	Genealogy Tree: Understanding Academic Lineage of Authors via Algorithmic and Visual Analysis. J. Sci. Res. Sandra Anil, Abu Kurian, Sudeepa Roy Dey, Snehanshu Saha, Ankit Sinha
2018	J	`jnl`	Genealogy tree: understanding academic lineage of authors via algorithmic and visual analysis. CoRR Sandra Anil, Abu Kurian, Sudeepa Roy Dey, Snehanshu Saha, Ankit Sinha
2018	J	`jnl`	Machine Learning in Astronomy: A Case Study in Quasar-Star Classification. CoRR Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta, Surbhi Agrawal, Snehanshu Saha
2018	J	`jnl`	Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area. J. Sci. Res. Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak
2018	J	`jnl`	Model Visualization in understanding rapid growth of a journal in an emerging area. CoRR Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak
2018	J	`jnl`	SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification. CoRR Snehanshu Saha, Archana Mathur, Kakoli Bora, Surbhi Agrawal, Suryoday Basak
2018	—	`conf`	TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields. SemEval@NAACL-HLT Manikandan R, Krishna Madgula, Snehanshu Saha
2018	J	`jnl`	Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets. Astron. Comput. Snehanshu Saha, Suryoday Basak, Margarita Safonova, Kakoli Bora, Surbhi Agrawal, Poulami Sarkar, Jayant Murthy
2018	J	`jnl`	Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area. CoRR Poulami Sarkar, Snehanshu Saha, Archana Mathur, Rahul Aedula, Saibal Kar, Surbhi Agrawal, Kakoli Bora
2018	J	`jnl`	Use of NoSQL Database and Visualization Techniques to Analyze Massive Scholarly Article Data from Journals. J. Sci. Res. Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire
2018	J	`jnl`	Use of NoSQL database and visualization techniques to analyze massive scholarly article data from journals. CoRR Gouri Ginde, Snehanshu Saha, Archana Mathur, Harsha Vamsi, Sudeepa Roy Dey, Swati Sampatrao Gambhire
2017	—	`conf`	A study of revenue cost dynamics in large data centers: a factorial design approach. ICC Gambhire Swati Sampatrao, Sudeepa Roy Dey, Bidisha Goswami, Sai Prasanna M. S, Snehanshu Saha
2017	Misc	`conf`	An Energy-efficient and Buffer-aware Routing Protocol for Opportunistic Smart Traffic Management. ICDCN Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha
2017	J	`jnl`	An Incentive-Based Scheme for Mitigating Node Selfishness in Smart Opportunistic Mobile Networks. Wirel. Pers. Commun. Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha
2017	B	`conf`	Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach. SMARTCOMP Anisha R. Yarlapati, Sudeepa Roy Dey, Snehanshu Saha
2016	C	`conf`	A Novel Approach to Big Data Veracity Using Crowdsourcing Techniques and Bayesian Predictors. ICMLA Bhoomika Agarwal, Abhiram Ravikumar, Snehanshu Saha
2016	—	`conf`	A Novel Approach to Big Data Veracity using Crowdsourcing Techniques and Bayesian Predictors. COMPUTE Bhoomika Agarwal, Abhiram Ravikumar, Snehanshu Saha
2016	J	`jnl`	A Study of Revenue Cost Dynamics in Large Data Centers: A Factorial Design Approach. CoRR Gambhire Swati Sampatrao, Sudeepa Roy Dey, Bidisha Goswami, Sai Prasanna M. S, Snehanshu Saha
2016	J	`jnl`	A novel revenue optimization model to address the operation and maintenance cost of a data center. J. Cloud Comput. Snehanshu Saha, Jyotirmoy Sarkar, Avantika Dwivedi, Nandita Dwivedi, Anand M. Narasimhamurthy, Ranjan Roy
2016	J	`jnl`	CD-HPF: New habitability score via data analytic modeling. Astron. Comput. Kakoli Bora, Snehanshu Saha, Surbhi Agrawal, Margarita Safonova, Swati Routh, Anand M. Narasimhamurthy
2016	J	`jnl`	CDSFA Stochastic Frontier Analysis Approach to Revenue Modeling in Large Cloud Data Centers. CoRR Jyotirmoy Sarkar, Bidisha Goswami, Snehanshu Saha, Saibal Kar
2016	J	`jnl`	CISER: An Amoebiasis inspired Model for Epidemic Message Propagation in DTN. CoRR Sobin C. C., Snehanshu Saha, Vaskar Raychoudhury, Hategekimana Fidele, Sumana Sinha
2016	J	`jnl`	DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative Approach. CoRR Snehanshu Saha, Neelam Jangid, Archana Mathur, M. N. Anand
2016	J	`jnl`	Erratum to: A novel revenue optimization model to address the operation and maintenance cost of a data center. J. Cloud Comput. Snehanshu Saha, Jyotirmoy Sarkar, Avantika Dwivedi, Nandita Dwivedi, Anand M. Narasimhamurthy, Ranjan Roy, Shrisha Rao
2016	—	`ch.`	Evidence of Chaos in EEG Signals: An Application to BCI. Advances in Chaos Theory and Intelligent Control Kusuma Mohanchandra, Snehanshu Saha, K. Srikanta Murthy
2016	J	`jnl`	Predicting the direction of stock market prices using random forest. CoRR Luckyson Khaidem, Snehanshu Saha, Sudeepa Roy Dey
2016	J	`jnl`	ScientoBASE: A Framework and Model for Computing Scholastic Indicators of non-local influence of Journals via Native Data Acquisition algorithms. CoRR Gouri Ginde, Snehanshu Saha, Archana Mathur, Sukrit Venkatagiri, Sujith Vadakkepat, Anand M. Narasimhamurthy, B. S. Daya Sagar
2016	J	`jnl`	ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms. Scientometrics Gouri Ginde, Snehanshu Saha, Archana Mathur, Sukrit Venkatagiri, Sujith Vadakkepat, Anand M. Narasimhamurthy, B. S. Daya Sagar
2015	J	`jnl`	A QoS aware Novel Probabilistic strategy for Dynamic Resource Allocation. CoRR G. Arun Kumar, Snehanshu Saha, Aravind Sundaresan, Bidisha Goswami
2015	J	`jnl`	ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy. CoRR Snehanshu Saha, Surbhi Agrawal, Manikandan R, Kakoli Bora, Swati Routh, Anand M. Narasimhamurthy
2015	J	`jnl`	Coefficient of Restitution based Cross Layer Interference Aware Routing Protocol in Wireless Mesh Networks. CoRR Sarasvathi V., Snehanshu Saha, N. Ch. S. N. Iyengar, Mahalaxmi Koti
2015	J	`jnl`	Coefficient of Restitution based Cross Layer Interference Aware Routing Protocol in Wireless Mesh Networks. Int. J. Commun. Networks Inf. Secur. Sarasvathi V., Snehanshu Saha, N. Ch. S. N. Iyengar, Mahalaxmi Koti
2015	—	`conf`	Computing the Prestige of a journal: A Revised Multiple Linear Regression Approach. WCI Neelam Jangid, Snehanshu Saha, Anand M. Narasimhamurthy, Archana Mathur
2015	J	`jnl`	Distinct adoption of k-nearest neighbour and support vector machine in classifying EEG signals of mental tasks. Int. J. Intell. Eng. Informatics Kusuma Mohanchandra, Snehanshu Saha, K. Srikanta Murthy, G. M. Lingaraju
2015	—	`ch.`	EEG Based Brain Computer Interface for Speech Communication: Principles and Applications. Brain-Computer Interfaces Kusuma Mohanchandra, Snehanshu Saha, G. M. Lingaraju
2015	J	`jnl`	QoS Guaranteed Intelligent Routing Using Hybrid PSO-GA in Wireless Mesh Networks. CoRR Sarasvathi V., N. Ch. S. N. Iyengar, Snehanshu Saha
2015	—	`conf`	Teaching Advanced Algebra to Engineering Majors: Dealing with the classroom challenges. WCI Snehanshu Saha, Bhoomika Agarwal, Priyal Mehta
2014	J	`jnl`	An Efficient Interference Aware Partially Overlapping Channel Assignment and Routing in Wireless Mesh Networks. Int. J. Commun. Networks Inf. Secur. Sarasvathi V., N. Ch. S. N. Iyengar, Snehanshu Saha
2014	—	`conf`	An enhancement to CloudSim via distributed data storage. ICACCI Roopa T. P, Surbhi Agrawal, Snehanshu Saha
2014	—	`conf`	Estimating the number of Prime numbers less than a given positive integer by a novel quadrature method: A study of Accuracy and Convergence. ICACCI Mushtaque Ahamed A, Snehanshu Saha
2013	J	`jnl`	A Randomized Generic Lucas Seed Algorithm (RGLSA) with Tail Boosting for Threat Modeling in Virtual Machines. CoRR Snehanshu Saha, Bidisha Goswami, Alexander Ngenzi, Aquila Khanam
2013	—	`conf`	Baseball hand tracking from monocular video. ICACCI Kishore Venkateshan, Arvind Shekar, Snehanshu Saha
2013	J	`jnl`	Interference Aware Channel Assignmnet Using Edge Coloring in Multi-Channel Multi-Radio Wireless Mesh Networks CoRR Sarasvathi V., N. Ch. S. N. Iyengar, Snehanshu Saha
2013	J	`jnl`	Modeling Vanilla Option prices: A simulation study by an implicit method. CoRR Snehanshu Saha, Bidisha Goswami, Surbhi Agrawal