Computation of the endogenous mortgage rates with randomized quasi-Monte Carlo simulations. - Yevgeny Goncharov; Giray Ökten; Manan Shah (Math. Comput. Model., 2007)

A genetic algorithm approach to estimate lower bounds of the star discrepancy. - Manan Shah (Monte Carlo Methods Appl., 2010)

OntoBAeval: Ontology Based Automatic Evaluation of Free-Text Response. - Pratik Thanawala; Jyoti Pareek; Manan Shah (T4E, 2014)

Robustness analysis of input-shaped model reference control on a double-pendulum crane. - Daichi Fujioka; Manan Shah; William Singhose (ACC, 2015)

The design and control of the multi-modal locomotion origami robot, Tribot. - Zhenishbek Zhakypov; Mohsen Falahi; Manan Shah; Jamie Paik (IROS, 2015)

Disease Propagation in Social Networks: A Novel Study of Infection Genesis and Spread on Twitter. - Manan Shah (BigMine, 2016)

Inferring Context from Pixels for Multimodal Image Classification. - Manan Shah; Krishnamurthy Viswanathan; Chun-Ta Lu; Ariel Fuxman; Zhen Li 028; Aleksei Timofeev; Chao Jia; Chen Sun 002 (CIKM, 2019)

Machine Learning to Identify Peripherally Inserted Central Catheter (PICC) Tip Position from Radiology Reports. - Manan Shah; Derek Shu; V. B. Surya Prasath; Yizhao Ni; Andrew Schapiro; Kevin R. Dufendach (AMIA, 2020)

SParSH-AMG: A library for hybrid CPU-GPU algebraic multigrid and preconditioned iterative methods. - Sashikumaar Ganesan; Manan Shah (CoRR, 2020)

Denouements of machine learning and multimodal diagnostic classification of Alzheimer's disease. - Binny Naik; Ashir Mehta; Manan Shah (Vis. Comput. Ind. Biomed. Art, 2020)

Systematic review and meta-analysis of augmented reality in medicine, retail, and games. - Pranav Parekh; Shireen Patel; Nivedita Patel; Manan Shah (Vis. Comput. Ind. Biomed. Art, 2020)

Machine Learning for Detection of Correct Peripherally Inserted Central Catheter Tip Position from Radiology Reports in Infants. - Manan Shah; Derek Shu; V. B. Surya Prasath; Yizhao Ni; Andrew Schapiro; Kevin R. Dufendach (Appl. Clin. Inform., 2021)

A comprehensive review on resolving ambiguities in natural language processing. - Apurwa Yadav; Aarshil Patel; Manan Shah (AI Open, 2021)

Advancement of Deep Learning in Pneumonia and Covid-19 Classification and Localization: A Qualitative and Quantitative Analysis. - Aakash Shah; Manan Shah (CoRR, 2021)

A comprehensive analysis on movie recommendation system employing collaborative filtering. - Urvish Thakker; Ruhi Patel; Manan Shah (Multim. Tools Appl., 2021)

Energy Consumption and Price Forecasting Through Data-Driven Analysis Methods: A Review. - Harsh Patel; Manan Shah (SN Comput. Sci., 2021)

Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention. - Neil Shah; Nandish Bhagat; Manan Shah (Vis. Comput. Ind. Biomed. Art, 2021)

Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector. - Dhruvil Shah; Devarsh Patel; Jainish Adesara; Pruthvi Hingu; Manan Shah (Vis. Comput. Ind. Biomed. Art, 2021)

A comprehensive review of machine learning techniques on diabetes detection. - Toshita Sharma; Manan Shah (Vis. Comput. Ind. Biomed. Art, 2021)

Carbon Emission Prediction on the World Bank Dataset for Canada. - Aman Desai; Shyamal Gandhi; Sachin Gupta; Manan Shah; Samir Patel (CoRR, 2022)

Judging a book by its cover: significance of UX design in gamification and computing systems. - Tulasi Sushra; Nitya Iyengar; Manan Shah; Ameya Kshirsagar (Iran J. Comput. Sci., 2022)

A comprehensive review on multiple hybrid deep learning approaches for stock prediction. - Jaimin Shah; Darsh Vaidya; Manan Shah (Intell. Syst. Appl., 2022)

Society sync - Digitalize society management systems with artificial intelligence technologies. - Mayank Thacker; Lay Shah; Manan Shah (Intell. Syst. Appl., 2022)

A stock market trading framework based on deep learning architectures. - Atharva Shah; Maharshi Gor; Meet Sagar; Manan Shah (Multim. Tools Appl., 2022)

Driver Alertness and Awareness Monitoring System. - Vedanth Raja; Bhavya Shah; Naitik Jain; Samveg Shah; Manan Shah; Anand Godbole (ICCCNT, 2023)

Contextual Code Switching for Machine Translation using Language Models. - Arshad Kaji; Manan Shah (CoRR, 2023)

Predicting stock market using machine learning: best and accurate way to know future stock prices. - Dhruhi Sheth; Manan Shah (Int. J. Syst. Assur. Eng. Manag., 2023)

A comprehensive study on lane detecting autonomous car using computer vision. - Henil Gajjar; Stavan Sanyal; Manan Shah (Expert Syst. Appl., 2023)

Battery Life: Performance Analysis and Comparison between Wi-Fi, CBRS, and Macro Deployment System. - Vanlin Sathya; Aasawaree Deshmukh; Manan Shah; Mehmet Yavuz (ICNC, 2024)

Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. - Manan Shah; Yash Bhalgat (CoRR, 2024)

ContextGNN: Beyond Two-Tower Recommendation Systems. - Yiwen Yuan; Zecheng Zhang; Xinwei He; Akihiro Nitta; Weihua Hu; Dong Wang; Manan Shah; Shenyang Huang; Blaz Stojanovic; Alan Krumholz; Jan Eric Lenssen; Jure Leskovec; et al. (CoRR, 2024)

All phase discrete cosine biorthogonal transform versus discrete cosine transform in digital watermarking. - Jay Patel; Dev Tailor; Kevin Panchal; Samir Patel; Rajeev Gupta; Manan Shah (Multim. Tools Appl., 2024)

A comprehensive review on sentiment analysis of social/web media big data for stock market prediction. - Pratham Shah; Kush Desai; Mrudani Hada; Parth Parikh; Malav Champaneria; Dhyani Panchal; Mansi Tanna; Manan Shah (Int. J. Syst. Assur. Eng. Manag., 2024)

Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections. - Ankit Dhiman; Manan Shah; Rishubh Parihar; Yash Bhalgat; Lokesh R. Boregowda; R. Venkatesh Babu (3DV, 2025)

MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World. - Ankit Dhiman; Manan Shah; R. Venkatesh Babu (CVPR, 2025)

ContextGNN: Beyond Two-Tower Recommendation Systems. - Yiwen Yuan; Zecheng Zhang; Xinwei He; Akihiro Nitta; Weihua Hu; Manan Shah; Blaz Stojanovic; Shenyang Huang; Jan Eric Lenssen; Jure Leskovec; Matthias Fey (ICLR, 2025)

LIDNeRF: Language-Guided NeRF Editing With InstructDiffusion. - Vaishali Kulkarni; Khushal Hemant Sharma; Manan Shah; Aniruddh Vinay Kulkarni (Int. J. Intell. Inf. Technol., 2025)

Advanced driver assistance system (ADAS) and machine learning (ML): The dynamic duo revolutionizing the automotive industry. - Harsh Shah; Karan Shah 005; Kushagra Darji; Adit Shah; Manan Shah (Virtual Real. Intell. Hardw., 2025)

Analyzing the Ethical Logic of Six Large Language Models. - W. Russell Neuman; Chad Coleman; Manan Shah (CoRR, 2025)

Crop protection and disease detection using artificial intelligence and computer vision: a comprehensive review. - Kanish Shah; Rajat Sushra; Manan Shah; Dhairya Shah; Haard Shah; Megh Raval; Mitul Prajapati (Multim. Tools Appl., 2025)

Auditing the Ethical Logic of Generative AI Models. - W. Russell Neuman; Chad Coleman; Ali Dasdan; Safinah Ali; Manan Shah (CoRR, 2025)

The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework Approach. - Chad Coleman; W. Russell Neuman; Ali Dasdan; Safinah Ali; Manan Shah (CoRR, 2025)

"Amazing, They All Lean Left" - Analyzing the Political Temperaments of Current LLMs. - W. Russell Neuman; Chad Coleman; Ali Dasdan; Safinah Ali; Manan Shah; Kund Meghani (CoRR, 2025)

PyG 2.0: Scalable Learning on Real World Graphs. - Matthias Fey; Jinu Sunil; Akihiro Nitta; Rishi Puri; Manan Shah; Blaz Stojanovic; Ramona Bendias; Alexandria Barghi; Vid Kocijan; Zecheng Zhang; Xinwei He; Jan Eric Lenssen; et al. (CoRR, 2025)