Baseball hand tracking from monocular video. - Kishore Venkateshan; Arvind Shekar; Snehanshu Saha (ICACCI, 2013)

Modeling Vanilla Option prices: A simulation study by an implicit method. - Snehanshu Saha; Bidisha Goswami; Surbhi Agrawal (CoRR, 2013)

A Randomized Generic Lucas Seed Algorithm (RGLSA) with Tail Boosting for Threat Modeling in Virtual Machines. - Snehanshu Saha; Bidisha Goswami; Alexander Ngenzi; Aquila Khanam (CoRR, 2013)

Interference Aware Channel Assignmnet Using Edge Coloring in Multi-Channel Multi-Radio Wireless Mesh Networks - Sarasvathi V.; N. Ch. S. N. Iyengar; Snehanshu Saha (CoRR, 2013)

Estimating the number of Prime numbers less than a given positive integer by a novel quadrature method: A study of Accuracy and Convergence. - Mushtaque Ahamed A; Snehanshu Saha (ICACCI, 2014)

An enhancement to CloudSim via distributed data storage. - Roopa T. P; Surbhi Agrawal; Snehanshu Saha (ICACCI, 2014)

An Efficient Interference Aware Partially Overlapping Channel Assignment and Routing in Wireless Mesh Networks. - Sarasvathi V.; N. Ch. S. N. Iyengar; Snehanshu Saha (Int. J. Commun. Networks Inf. Secur., 2014)

Computing the Prestige of a journal: A Revised Multiple Linear Regression Approach. - Neelam Jangid; Snehanshu Saha; Anand M. Narasimhamurthy; Archana Mathur (WCI, 2015)

Teaching Advanced Algebra to Engineering Majors: Dealing with the classroom challenges. - Snehanshu Saha; Bhoomika Agarwal; Priyal Mehta (WCI, 2015)

A QoS aware Novel Probabilistic strategy for Dynamic Resource Allocation. - G. Arun Kumar; Snehanshu Saha; Aravind Sundaresan; Bidisha Goswami (CoRR, 2015)

ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy. - Snehanshu Saha; Surbhi Agrawal; Manikandan R; Kakoli Bora; Swati Routh; Anand M. Narasimhamurthy (CoRR, 2015)

QoS Guaranteed Intelligent Routing Using Hybrid PSO-GA in Wireless Mesh Networks. - Sarasvathi V.; N. Ch. S. N. Iyengar; Snehanshu Saha (CoRR, 2015)

Coefficient of Restitution based Cross Layer Interference Aware Routing Protocol in Wireless Mesh Networks. - Sarasvathi V.; Snehanshu Saha; N. Ch. S. N. Iyengar; Mahalaxmi Koti (Int. J. Commun. Networks Inf. Secur., 2015)

Distinct adoption of k-nearest neighbour and support vector machine in classifying EEG signals of mental tasks. - Kusuma Mohanchandra; Snehanshu Saha; K. Srikanta Murthy; G. M. Lingaraju (Int. J. Intell. Eng. Informatics, 2015)

EEG Based Brain Computer Interface for Speech Communication: Principles and Applications. - Kusuma Mohanchandra; Snehanshu Saha; G. M. Lingaraju (Brain-Computer Interfaces, 2015)

A Novel Approach to Big Data Veracity using Crowdsourcing Techniques and Bayesian Predictors. - Bhoomika Agarwal; Abhiram Ravikumar; Snehanshu Saha (COMPUTE, 2016)

CD-HPF: New habitability score via data analytic modeling. - Kakoli Bora; Snehanshu Saha; Surbhi Agrawal; Margarita Safonova; Swati Routh; Anand M. Narasimhamurthy (Astron. Comput., 2016)

CISER: An Amoebiasis inspired Model for Epidemic Message Propagation in DTN. - Sobin C. C.; Snehanshu Saha; Vaskar Raychoudhury; Hategekimana Fidele; Sumana Sinha (CoRR, 2016)

Predicting the direction of stock market prices using random forest. - Luckyson Khaidem; Snehanshu Saha; Sudeepa Roy Dey (CoRR, 2016)

DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative Approach. - Snehanshu Saha; Neelam Jangid; Archana Mathur; M. N. Anand (CoRR, 2016)

CDSFA Stochastic Frontier Analysis Approach to Revenue Modeling in Large Cloud Data Centers. - Jyotirmoy Sarkar; Bidisha Goswami; Snehanshu Saha; Saibal Kar (CoRR, 2016)

A novel revenue optimization model to address the operation and maintenance cost of a data center. - Snehanshu Saha; Jyotirmoy Sarkar; Avantika Dwivedi; Nandita Dwivedi; Anand M. Narasimhamurthy; Ranjan Roy (J. Cloud Comput., 2016)

Erratum to: A novel revenue optimization model to address the operation and maintenance cost of a data center. - Snehanshu Saha; Jyotirmoy Sarkar; Avantika Dwivedi; Nandita Dwivedi; Anand M. Narasimhamurthy; Ranjan Roy; Shrisha Rao 001 (J. Cloud Comput., 2016)

ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms. - Gouri Ginde; Snehanshu Saha; Archana Mathur; Sukrit Venkatagiri; Sujith Vadakkepat; Anand M. Narasimhamurthy; B. S. Daya Sagar (Scientometrics, 2016)

Evidence of Chaos in EEG Signals: An Application to BCI. - Kusuma Mohanchandra; Snehanshu Saha; K. Srikanta Murthy (Advances in Chaos Theory and Intelligent Control, 2016)

An Energy-efficient and Buffer-aware Routing Protocol for Opportunistic Smart Traffic Management. - Sobin C. C.; Vaskar Raychoudhury; Snehanshu Saha (ICDCN, 2017)

A study of revenue cost dynamics in large data centers: a factorial design approach. - Gambhire Swati Sampatrao; Sudeepa Roy Dey; Bidisha Goswami; Sai Prasanna M. S; Snehanshu Saha (ICC, 2017)

Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach. - Anisha R. Yarlapati; Sudeepa Roy Dey; Snehanshu Saha (SMARTCOMP, 2017)

An Incentive-Based Scheme for Mitigating Node Selfishness in Smart Opportunistic Mobile Networks. - Sobin C. C.; Vaskar Raychoudhury; Snehanshu Saha (Wirel. Pers. Commun., 2017)

A New Activation Function for Artificial Neural Net Based Habitability Classification. - Snehanshu Saha; Archana Mathur; Kakoli Bora; Suryoday Basak; Surbhi Agrawal (ICACCI, 2018)

TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields. - Manikandan R; Krishna Madgula; Snehanshu Saha (SemEval@NAACL-HLT, 2018)

A Novel Exoplanetary Habitability Score via Particle Swarm Optimization of CES Production Functions. - Abhijit Theophilus; Snehanshu Saha; Suryoday Basak; Jayant Murthy (SSCI, 2018)

Theoretical validation of potential habitability via analytical and boosted tree methods: An optimistic study on recently discovered exoplanets. - Snehanshu Saha; Suryoday Basak; Margarita Safonova; Kakoli Bora; Surbhi Agrawal; Poulami Sarkar; Jayant Murthy (Astron. Comput., 2018)

Machine Learning in Astronomy: A Case Study in Quasar-Star Classification. - Mohammed Viquar; Suryoday Basak; Ariruna Dasgupta; Surbhi Agrawal; Snehanshu Saha (CoRR, 2018)

Time Reversed Delay Differential Equation Based Modeling Of Journal Influence In An Emerging Area. - Poulami Sarkar; Snehanshu Saha; Archana Mathur; Rahul Aedula; Saibal Kar; Surbhi Agrawal; Kakoli Bora (CoRR, 2018)

SBAF: A New Activation Function for Artificial Neural Net based Habitability Classification. - Snehanshu Saha; Archana Mathur; Kakoli Bora; Surbhi Agrawal; Suryoday Basak (CoRR, 2018)

CD-SFA: stochastic frontier analysis approach to revenue modelling in large cloud data centres. - Jyotirmoy Sarkar; Bidisha Goswami; Snehanshu Saha; Saibal Kar (Int. J. Commun. Networks Distributed Syst., 2018)

Addressing space-constraint driven selfishness in smart opportunistic environment. - Sobin C. C.; Vaskar Raychoudhury; Snehanshu Saha (Int. J. Commun. Syst., 2018)

Genealogy Tree: Understanding Academic Lineage of Authors via Algorithmic and Visual Analysis. - Sandra Anil; Abu Kurian; Sudeepa Roy Dey; Snehanshu Saha; Ankit Sinha (J. Sci. Res., 2018)

Use of NoSQL Database and Visualization Techniques to Analyze Massive Scholarly Article Data from Journals. - Gouri Ginde; Snehanshu Saha; Archana Mathur; Harsha Vamsi; Sudeepa Roy Dey; Swati Sampatrao Gambhire (J. Sci. Res., 2018)

Model Visualization in Understanding Rapid Growth of a Journal in an Emerging Area. - Snehanshu Saha; Poulami Sarkar; Archana Mathur; Suryoday Basak (J. Sci. Res., 2018)

COR-HR: an efficient hybrid routing approach using coefficient of restitution in MANET. - Sumana Sinha; Snehanshu Saha; Sudeepta Mishra (ICDCN, 2019)

Separating stars from quasars: Machine learning investigation using photometric data. - Simran Makhija; Snehanshu Saha; Suryoday Basak; M. Das (Astron. Comput., 2019)

A novel adaptive learning rate scheduler for deep neural networks. - Rahul Yedida; Snehanshu Saha (CoRR, 2019)

Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets. - Snehanshu Saha; Nithin Nagaraj; Archana Mathur; Rahul Yedida (CoRR, 2019)

ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification. - Harikrishnan Nellippallil Balakrishnan; Aditi Kathpalia; Snehanshu Saha; Nithin Nagaraj (CoRR, 2019)

Time Reversed Delay Differential Equation Based Modeling of Journal Influence in An Emerging Area. - Archana Mathur; Snehanshu Saha; Poulami Sarkar; Saibal Kar; Suryoday Basak (J. Integr. Des. Process. Sci., 2019)

SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing. - Archana Mathur; Snehanshu Saha; Saibal Kar; Gouri Ginde; Ankit Sinha (J. Sci. Res., 2019)

Special Issue on Machine Learning in Scientometrics. - Snehanshu Saha; Saibal Kar (J. Sci. Res., 2019)

ALVEC: Auto-scaling by Lotka Volterra elastic cloud: A QoS aware non linear dynamical allocation model. - Bidisha Goswami; Jyotirmoy Sarkar; Snehanshu Saha; Saibal Kar; Poulami Sarkar (Simul. Model. Pract. Theory, 2019)

Ant-Taxi to Pie-Passenger: Optimizing Routes and Time for Distributed Taxi Ride Sharing. - Aishwarya Manjunath; Vaskar Raychoudhury; Snehanshu Saha (COMSNETS, 2020)

LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. - Snehanshu Saha; Tejas Prashanth; Suraj Aralihalli; Sumedh Basarkod; T. S. B. Sudarshan; Soma S. Dhavala (IJCNN, 2020)

Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. - Shailesh Sridhar; Snehanshu Saha; Azhar Shaikh; Rahul Yedida; Sriparna Saha 001 (IJCNN, 2020)

A Dynamic Taxi Ride Sharing System Using Particle Swarm Optimization. - Shrawani Silwal; Vaskar Raychoudhury; Snehanshu Saha; Md. Osman Gani (MASS, 2020)

CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets. - Suryoday Basak; Snehanshu Saha; Archana Mathur; Kakoli Bora; Simran Makhija; Margarita Safonova; Surbhi Agrawal (Astron. Comput., 2020)

AdaSwarm: A Novel PSO optimization Method for the Mathematical Equivalence of Error Gradients. - Rohan Mohapatra; Snehanshu Saha; Soma S. Dhavala (CoRR, 2020)

Detection of Double-Nuclei Galaxies in SDSS. - Anwesh Bhattacharya; Snehanshu Saha; Mousumi Das (CoRR, 2020)

Empirical study of dynamics of amoebiasis transmission in mobile ad hoc networks (MANETs). - Ankush Mishra; Snehanshu Saha; Simran Makhija; Sumana Sinha; Vaskar Raychoudhury; Sobin C. C. (Int. J. Commun. Syst., 2020)

Semantic Influence Score: Tracing Beautiful Minds Through Knowledge Diffusion and Derivative Works. - Pragnya Sridhar; Deepika Karanji; Gambhire Swati Sampatrao; Sravan Danda; Snehanshu Saha (DEXA Workshops, 2021)

Solving the N-Queens and Golomb Ruler Problems Using DQN and an Approximation of the Convergence. - Patnala Prudhvi Raj; Snehanshu Saha; Gowri Srinivasa (ICONIP (6), 2021)

d-BTAI: The Dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems. - Jyotirmoy Sarkar; Santonu Sarkar; Snehanshu Saha; Swagatam Das (IEA/AIE (2), 2021)

Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform. - Snigdha Sen; Snehanshu Saha; Pavan Chakraborty; Krishna Pratap Singh (IEA/AIE (2), 2021)

Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations. - Kanchan Jha; Sriparna Saha 001; Snehanshu Saha (IJCNN, 2021)

A Swarm Variant for the Schrödinger Solver. - Urvil Nileshbhai Jivani; Omatharv Bharat Vaidya; Anwesh Bhattacharya; Snehanshu Saha (IJCNN, 2021)

LipARELU: ARELU Networks aided by Lipschitz Acceleration. - Ishita Mediratta; Snehanshu Saha; Shubhad Mathur (IJCNN, 2021)

DiffAct: A Unifying Framework for Activation Functions. - Snehanshu Saha; Archana Mathur; Aditya Pandey; Harshith Arun Kumar (IJCNN, 2021)

Dynamic Taxi Ride-Sharing Through Adaptive Request Propagation Using Regional Taxi Demand and Supply. - Haoxiang Yu; Vaskar Raychoudhury; Snehanshu Saha (MobiQuitous, 2021)

LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence. - Rahul Yedida; Snehanshu Saha; Tejas Prashanth (Appl. Intell., 2021)

Fairly Constricted Particle Swarm Optimization. - Anwesh Bhattacharya; Snehanshu Saha (CoRR, 2021)

Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method. - Jyotirmoy Sarkar; Kartik Bhatia; Snehanshu Saha; Margarita Safonova; Santonu Sarkar (CoRR, 2021)

Fairly Constricted Multi-objective Particle Swarm Optimization. - Anwesh Bhattacharya; Snehanshu Saha; Nithin Nagaraj (ICONIP (4), 2022)

A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. - Snigdha Sen; Snehanshu Saha; Pavan Chakraborty; Krishna Pratap Singh (ICONIP (5), 2022)

P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem. - Abhijeet Swain; Vaibhav Ganatra; Snehanshu Saha; Archana Mathur; Rekha Phadke (ICONIP (7), 2022)

HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. - Omatharv Bharat Vaidya; Rithvik Terence DSouza; Soma S. Dhavala; Snehanshu Saha; Swagatam Das (ICONIP (1), 2022)

Study of Heterogeneous User Behavior in Crowd Evacuation in Presence of Wheelchair Users. - John Hata; Haoxiang Yu; Vaskar Raychoudhury; Snehanshu Saha; Huy Tran Quang (PAAMS, 2022)

LogGENE: A smooth alternative to check loss for Deep Healthcare Inference Tasks. - Aryaman Jeendgar; Aditya Pola; Soma S. Dhavala; Snehanshu Saha (CoRR, 2022)

Hamiltonian Monte Carlo Particle Swarm Optimizer. - Omatharv Bharat Vaidya; Rithvik Terence DSouza; Snehanshu Saha; Soma S. Dhavala; Swagatam Das (CoRR, 2022)

Investigation of a Machine learning methodology for the SKA pulsar search pipeline. - Shashank Sanjay Bhat; Prabu Thiagaraj; Ben Stappers; Atul Ghalame; Snehanshu Saha; T. S. B. Sudarshan; Zafiirah Hosenie (CoRR, 2022)

Estimation and Applications of Quantiles in Deep Binary Classification. - Anuj Tambwekar; Anirudh Maiya; Soma S. Dhavala; Snehanshu Saha (IEEE Trans. Artif. Intell., 2022)

LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets. - Tejas Prashanth; Snehanshu Saha; Sumedh Basarkod; Suraj Aralihalli; Soma S. Dhavala; Sriparna Saha 001; Raviprasad Aduri (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. - Rohan Mohapatra; Snehanshu Saha; Carlos A. Coello Coello; Anwesh Bhattacharya; Soma S. Dhavala; Sriparna Saha 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

CARE-Share: A Cooperative and Adaptive Strategy for Distributed Taxi Ride Sharing. - Aishwarya Manjunath; Vaskar Raychoudhury; Snehanshu Saha; Saibal Kar; Anusha Kamath (IEEE Trans. Intell. Transp. Syst., 2022)

Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data. - Snehanshu Saha; Jyotirmoy Sarkar; Soma S. Dhavala; Santonu Sarkar; Preyank Mota (CoRR, 2023)

Correcting Model Misspecification via Generative Adversarial Networks. - Pronoma Banerjee; Manasi V. Gude; Rajvi J. Sampat; Sharvari M. Hedaoo; Soma S. Dhavala; Snehanshu Saha (CoRR, 2023)

Decoupling Quantile Representations from Loss Functions. - Aditya Challa; Snehanshu Saha; Soma S. Dhavala (CoRR, 2023)

To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks. - Rajan Sahu; Shivam Chadha; Nithin Nagaraj; Archana Mathur; Snehanshu Saha (CoRR, 2023)

A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters. - Sourabh Patil; Archana Mathur; Raviprasad Aduri; Snehanshu Saha (CoRR, 2023)

An improved communication strategy in vehicular ad hoc networks: adaptive game theoretic modelling approach. - Sumana Sinha; Snehanshu Saha (Int. J. Mob. Commun., 2023)

Towards Efficient Emotion Self-report Collection Using Human-AI Collaboration: A Case Study on Smartphone Keyboard Interaction. - Prajwal Melath; Ayush Raj; Sougata Sen; Snehanshu Saha; Surjya Ghosh (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

ALIS: A novel metric in lineage-independent evaluation of scholars. - Sudeepa Roy Dey; Archana Mathur; B. S. Dayasagar; Snehanshu Saha (J. Inf. Sci., 2023)

Automated Surface Classification System Using Vibration Patterns - A Case Study With Wheelchairs. - Haoxiang Yu; Vaskar Raychoudhury; Snehanshu Saha; Janick Edinger; Roger O. Smith; Md. Osman Gani (IEEE Trans. Artif. Intell., 2023)

Proposal of SVM Utility Kernel for Breast Cancer Survival Estimation. - Nikhilanand Arya; Archana Mathur; Snehanshu Saha; Sriparna Saha 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Efficient anomaly identification in temporal and non-temporal industrial data using tree based approaches. - Jyotirmoy Sarkar; Snehanshu Saha; Santonu Sarkar (Appl. Intell., 2023)

β-SGP: Scaled Gradient Projection with β-divergence for astronomical image restoration. - Yash Gondhalekar; Margarita Safonova; Snehanshu Saha (Astron. Comput., 2023)

Program Analysis and Machine Learning-based Approach to Predict Power Consumption of CUDA Kernel. - Gargi Alavani; Jineet Desai; Snehanshu Saha; Santonu Sarkar (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2023)

Improving Continuous Emotion Annotation in Video Platforms via Physiological Response Profiling. - Swarnali Banik; Sougata Sen; Snehanshu Saha; Surjya Ghosh (ACII, 2024)

Estimating Power Consumption of GPU Application Using Machine Learning Tool. - Gargi Alavani Prabhu; Tanish Desai; Sharvil Potdar; Nayan Gogari; Snehanshu Saha; Santonu Sarkar (ICTAI, 2024)

DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries. - Ashman Mehra; Snehanshu Saha; Vaskar Raychoudhury; Archana Mathur (IJCNN, 2024)

Self-SLAM: A Self-supervised Learning Based Annotation Method to Reduce Labeling Overhead. - Alfiya M. Shaikh; Hrithik Nambiar; Kshitish Ghate; Swarnali Banik; Sougata Sen; Surjya Ghosh; Vaskar Raychoudhury; Niloy Ganguly; Snehanshu Saha (ECML/PKDD (9), 2024)

QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier. - Aditya Challa; Soma S. Dhavala; Snehanshu Saha (UAI, 2024)

Strong convexity-guided hyper-parameter optimization for flatter losses. - Rahul Yedida; Snehanshu Saha (CoRR, 2024)

Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study. - Santonu Sarkar; Shanay Mehta; Nicole Fernandes; Jyotirmoy Sarkar; Snehanshu Saha (CoRR, 2024)

Quantile Activation: departing from single point estimation for better generalization across distortions. - Aditya Challa; Sravan Danda; Laurent Najman; Snehanshu Saha (CoRR, 2024)

A Granger-Causal Perspective on Gradient Descent with Application to Pruning. - Aditya Shah; Aditya Challa; Sravan Danda; Archana Mathur; Snehanshu Saha (CoRR, 2024)

DiEvD-SF: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting. - Aditi Seetha; Satyendra Singh Chouhan; Emmanuel S. Pilli; Vaskar Raychoudhury; Snehanshu Saha (IEEE Trans. Comput. Soc. Syst., 2024)

Towards Reducing Continuous Emotion Annotation Effort During Video Consumption: A Physiological Response Profiling Approach. - Swarnali Banik; Sougata Sen; Snehanshu Saha; Surjya Ghosh (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

quantile-Long Short Term Memory: A Robust, Time Series Anomaly Detection Method. - Snehanshu Saha; Jyotirmoy Sarkar; Soma S. Dhavala; Preyank Mota; Santonu Sarkar (IEEE Trans. Artif. Intell., 2024)

AdaGen: Adaptive Generalized Knowledge Transfer Framework for Sensor-Based Surface Classification for Wheelchair Routing. - Vihaan Misra; Shivashankar S. Menon; Snehanshu Saha; Archana Mathur; Haoxiang Yu; Vaskar Raychoudhury (SN Comput. Sci., 2024)

Last Mile: A Novel, Hotspot-Based Distributed Path-Sharing Network for Food Deliveries. - Ashman Mehra; Divyanshu Singh; Vaskar Raychoudhury; Archana Mathur; Snehanshu Saha (IEEE Trans. Intell. Transp. Syst., 2024)

Influence of Demographics and Personality Traits on Physiological Responses to Improve Continuous Emotion Annotation in Video Applications. - Swarnali Banik; Sougata Sen; Snehanshu Saha; Surjya Ghosh (CHI Extended Abstracts, 2025)

PResCon: Physiological Response Augmented Continuous Emotion Annotation Tool. - Swarnali Banik; Akhilesh Adithya; Bivas Mitra; Sougata Sen; Snehanshu Saha; Surjya Ghosh (COMSNETS, 2025)

Onto Proximality in Non Negative Matrix Factorization for Recommender Systems. - Rachana Mehta; Shakti Mishra; Snehanshu Saha (IEEE Access, 2025)

DiffusionScore: A Framework for Assessing Institutional Research Impact Through Influence Diffusion. - Gambhire Swati Sampatrao; Anisha Khetan; Nithin Nagaraj; Snehanshu Saha; Sudeepa Roy Dey; Archana Mathur (IEEE Access, 2025)

Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania. - Ngong'Ho Bujiku Sende; Snehanshu Saha; Leon Ruganzu; Saibal Kar (IEEE Access, 2025)

Spatial Distribution of Poverty Clusters and Its Prediction Algorithms: A Visual Analytics Approach to Understanding the Disparities of Poverty Across Zones. - Ngong'Ho Bujiku Sende; Snehanshu Saha; Leon Fidele Ruganzu Uwimbabazi (IEEE Access, 2025)

Quantile Activation: Correcting a failure mode of traditional ML models. - Aditya Challa; Sravan Danda; Laurent Najman; Snehanshu Saha (Trans. Mach. Learn. Res., 2025)

Radon-Nikodým Derivative: Re-imagining Anomaly Detection from a Measure Theoretic Perspective. - Shlok Mehendale; Aditya Challa; Rahul Yedida; Sravan Danda; Santonu Sarkar; Snehanshu Saha (CoRR, 2025)