• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 155 matches

• 2024
• 
  Hezhen Liu, Chengqiang Huang, Ke Sun, Jiacheng Yin, Xiaoyu Wu, Jin Wang, Qunli Zhang, Yang Zheng, Vivek Nigam, Feng Liu, Joseph Sifakis:
  Design for dependability - State of the art and trends. J. Syst. Softw. 211: 111989 (2024)
• 
  Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Alan Fries, José D. Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung:
  Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare. BMC Medical Informatics Decis. Mak. 24(1): 51 (2024)
• 
  Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung:
  A multi-center study on the adaptability of a shared foundation model for electronic health records. npj Digit. Medicine 7(1) (2024)
• 
  Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam Shah, Christopher Ré:
  Automating the Enterprise with Foundation Models. Proc. VLDB Endow. 17(11): 2805-2812 (2024)
• 
  Abdul Halim, B. V. Rathish Kumar, Ajay Niranjan, Aditya Nigam, Walter Schneider, Chirag K. Ahuja, Sudhir K. Pathak:
  A colour image segmentation method and its application to medical images. Signal Image Video Process. 18(2): 1635-1648 (2024)
• 
  Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah:
  MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. AAAI 2024: 22021-22030
• 
  Michael Wornow, Alejandro Lozano, Dev Dash, Jenelle A. Jindal, Kenneth W. Mahaffey, Nigam H. Shah:
  Zero-Shot Clinical Trial Patient Matching with LLMs. CoRR abs/2402.05125 (2024)
• 
  Mohammad Ghazi Vakili, Christoph Gorgulla, AkshatKumar Nigam, Dmitry Bezrukov, Daniel Varoli, Alex Aliper, Daniil Polykovskiy, Krishna M. Padmanabha Das, Jamie Snider, Anna Lyakisheva, Ardalan Hosseini Mansob, Zhong Yao, Lela Bitar, Eugene Radchenko, Xiao Ding, Jinxin Liu, Fanye Meng, Feng Ren, Yudong Cao, Igor Stagljar, Alán Aspuru-Guzik, Alex Zhavoronkov:
  Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS. CoRR abs/2402.08210 (2024)
• 
  Alison Callahan, Duncan C. McElfresh, Juan M. Banda, Gabrielle Bunney, Danton Char, Jonathan H. Chen, Conor K. Corbin, Debadutta Dash, Norman L. Downing, Sneha S. Jain, Nikesh Kotecha, Jonathan Masterson, Michelle M. Mello, Keith E. Morse, Srikar Nallan, Abby Pandya, Anurang Revri, Aditya Sharma, Christopher D. Sharp, Rahul Thapa, Michael Wornow, Alaa Youssef, Michael A. Pfeffer, Nigam H. Shah:
  Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. CoRR abs/2403.07911 (2024)
• 
  Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam H. Shah, Christopher Ré:
  Automating the Enterprise with Foundation Models. CoRR abs/2405.03710 (2024)
• 
  Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton:
  Sample Selection Bias in Machine Learning for Healthcare. CoRR abs/2405.07841 (2024)
• 
  Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari:
  Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR abs/2406.06512 (2024)
• 
  Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam H. Shah, Christopher Ré:
  Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks. CoRR abs/2406.13264 (2024)
• 
  Ting Fang Tan, Kabilan Elangovan, Jasmine Chiat Ling Ong, Nigam Shah, Joseph Jao-Yiu Sung, Tien Yin Wong, Lan Xue, Nan Liu, Haibo Wang, Chang Fu Kuo, Simon Chesterman, Zee Kin Yeong, Daniel S. W. Ting:
  A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability. CoRR abs/2407.07666 (2024)
• 2023
• 
  Sapna Nigam, Rajni Jain, Sudeep Marwaha, Alka Arora, Md. Ashraful Haque, Akshay Dheeraj, Vaibhav Kumar Singh:
  Deep transfer learning model for disease identification in wheat crop. Ecol. Informatics 75: 102068 (2023)
• 
  Conor K. Corbin, Rob Maclay, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Rahul Thapa, Nikesh Kotecha, Nigam H. Shah, Jonathan H. Chen:
  DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record. J. Am. Medical Informatics Assoc. 30(9): 1532-1542 (2023)
• 
  Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E. Morse, Scott Lanyon Fleming, Catherine Aftandilian, Stephen R. Pfohl, José D. Posada, Nigam Shah, Jason Alan Fries, Lillian Sung:
  Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks. J. Am. Medical Informatics Assoc. 30(12): 2004-2011 (2023)
• 
  Karandeep Singh, Nigam H. Shah, Andrew J. Vickers:
  Assessing the net benefit of machine learning models in the presence of resource constraints. J. Am. Medical Informatics Assoc. 30(4): 668-673 (2023)
• 
  Yizhe Xu, Katelyn K. Bechler, Alison Callahan, Nigam Shah:
  Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation. J. Biomed. Informatics 143: 104420 (2023)
• 
  Karla Hamlen Mansour, Debbie K. Jackson, Lisa Bievenue, Adam Voight, Nigamanth Sridhar:
  Understanding the Impact of Peer Instruction in CS Principles Teacher Professional Development. ACM Trans. Comput. Educ. 23(2): 24:1-24:21 (2023)
• 
  Hare Krishna Nigam, Mohammad Mursaleen, Manoj Kumar Sah:
  Degree of convergence of a function in generalized Zygmund space. Math. Found. Comput. 6(3): 484-499 (2023)
• 
  Md. Ashraful Haque, Sudeep Marwaha, Chandan Kumar Deb, Sapna Nigam, Alka Arora:
  Recognition of diseases of maize crop using deep learning models. Neural Comput. Appl. 35(10): 7407-7421 (2023)
• 
  Abhijit Das, Saurabh Atreya, Aritra Mukherjee, Matej Vitek, Haiqing Li, Caiyong Wang, Guangzhe Zhao, Fadi Boutros, Patrick Siebke, Jan Niklas Kolf, Naser Damer, Sun Ye, Lu Hexin, Fan Aobo, You Sheng, Sabari Nathan, R. Suganya, R. S. Rampriya, Geetanjali Sharma, P. Priyanka, Aditya Nigam, Peter Peer, Umapada Pal, Vitomir Struc:
  Sclera Segmentation and Joint Recognition Benchmarking Competition: SSRBC 2023. IJCB 2023: 1-10
• 
  Ziga Emersic, Tetsushi Ohki, Muku Akasaka, Takahiko Arakawa, Soshi Maeda, Masora Okano, Yuya Sato, Anjith George, Sébastien Marcel, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Sajid Javed, Naoufel Werghi, S. G. Isik, Erdi Saritas, Hazim Kemal Ekenel, V. Hudovernik, Jan Niklas Kolf, Fadi Boutros, Naser Damer, G. Sharma, Aman Kamboj, Aditya Nigam, Deepak Kumar Jain, G. Cámara-Chávez, Peter Peer, Vitomir Struc:
  The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias. IJCB 2023: 1-10
• 
  Ranjeet Ranjan Jha, Hritik Gupta, Sudhir K. Pathak, Ankita Joshi, Walter Schneider, B. V. Rathish Kumar, Arnav Bhavsar, Aditya Nigam:
  PA-GAN: Parallel Attention Based Gan for Enhancement of FODF. ISBI 2023: 1-5
• 
  Jigyasa Nigam, Sergey N. Pozdnyakov, Kevin K. Huguenin-Dumittan, Michele Ceriotti:
  Completeness of Atomic Structure Representations. CoRR abs/2302.14770 (2023)
• 
  Conor K. Corbin, Rob Maclay, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Rahul Thapa, Nikesh Kotecha, Nigam H. Shah, Jonathan H. Chen:
  DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record. CoRR abs/2303.06269 (2023)
• 
  Debadutta Dash, Rahul Thapa, Juan M. Banda, Akshay Swaminathan, Morgan Cheatham, Mehr Kashyap, Nikesh Kotecha, Jonathan H. Chen, Saurabh Gombar, Lance Downing, Rachel Pedreira, Ethan Goh, Angel Arnaout, Garret Kenn Morris, Honor Magon, Matthew P. Lungren, Eric Horvitz, Nigam H. Shah:
  Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery. CoRR abs/2304.13714 (2023)
• 
  Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah:
  MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. CoRR abs/2308.14089 (2023)
• 
  Lin Lawrence Guo, Jason A. Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung:
  A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records. CoRR abs/2311.11483 (2023)

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