• 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 410 matches

• 2024
• 
  Sai Sneha Channamallu, Sharareh Kermanshachi, Jay M. Rosenberger, Apurva Pamidimukkala:
  Enhancing Urban Parking Efficiency Through Machine Learning Model Integration. IEEE Access 12: 81338-81347 (2024)
• 
  Krishna Prajapati, Snehal Jani, Manisha Singh, Ranjeet Brajpuriya:
  Contribution of AI and deep learning in revolutionizing gravitational wave detection. Astron. Comput. 48: 100856 (2024)
• 
  Kirti Raj Bhatele, Anand Jha, Devanshu Tiwari, Mukta Bhatele, Sneha Sharma, Muktasha R. Mithora, Stuti Singhal:
  COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans. Cogn. Comput. 16(4): 1889-1926 (2024)
• 
  Daniel Sousa Schulman, Nishant Jalgaonkar, Sneha Ojha, Ana Rivero Valles, Monica L. H. Jones, Shorya Awtar:
  A Visual-Vestibular Model to Predict Motion Sickness for Linear and Angular Motion. Hum. Factors 66(8): 2120-2137 (2024)
• 
  Dhabaleswar Mohapatra, Snehashish Chakraverty, Mohammad Alshammari:
  Time Fractional Heat Equation of n + 1-Dimension in Type-1 and Type-2 Fuzzy Environment. Int. J. Fuzzy Syst. 26(1): 1-16 (2024)
• 
  Anindita Pradhan, Pradeep Dwivedi, Puneet Pareek, Sumit Kalra, Surjit Singh, Shoban Babu Varthya, Akhil Dhanesh Goel, Muhammad Aaqib Shamim, Jeevan Ram Vishnoi, Prem Prakash Sharma, Abhilipsa Pradhan, Sneha Ambwani, Sanjeev Misra:
  Electronic-PRO Measures for adverse events Of Treatment In ONcology (E-PROMOTION). Int. J. Medical Informatics 182: 105305 (2024)
• 
  Snehanjan Acharyya, Abhishek Ghosh, Sudip Nag, Subhasish Basu Majumder, Prasanta Kumar Guha:
  Smart and Selective Gas Sensor System Empowered With Machine Learning Over IoT Platform. IEEE Internet Things J. 11(3): 4218-4226 (2024)
• 
  Thomas Beaney, Sneha Jha, Asem Alaa, Alexander Smith, Jonathan Clarke, Thomas Woodcock, Azeem Majeed, Paul Aylin, Mauricio Barahona:
  Comparing natural language processing representations of coded disease sequences for prediction in electronic health records. J. Am. Medical Informatics Assoc. 31(7): 1451-1462 (2024)
• 
  Jiangce Chen, Justin Pierce, Glen Williams, Timothy W. Simpson, Nicholas A. Meisel, Sneha Prabha Narra, Christopher McComb:
  Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data. J. Comput. Inf. Sci. Eng. 24(1) (2024)
• 
  Gunti Sneha, Sidhartha Dash, Guru Prasad Mishra:
  Z-shaped gate tunnel FET with graphene channel: An extensive investigation of its analog and linearity performance. Microelectron. J. 153: 106412 (2024)
• 
  Sneha Chinivar, M. S. Roopa, J. S. Arunalatha, K. R. Venugopal:
  V-LTCS: Backbone exploration for Multimodal Misogynous Meme detection. Nat. Lang. Process. J. 9: 100109 (2024)
• 
  Sulaiman Somani, Sujana Balla, Allison W. Peng, Ramzi Dudum, Sneha Jain, Khurram Nasir, David J. Maron, Tina Hernandez-Boussard, Fátima Rodriguez:
  Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence. npj Digit. Medicine 7(1) (2024)
• 
  Jaydeep Kishore, Snehasis Mukherjee:
  An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization. Prog. Artif. Intell. 13(3): 201-215 (2024)
• 
  Jaydeep Kishore, Snehasis Mukherjee:
  Minimizing Parameter Overhead in Self-Supervised Models for Target Task. IEEE Trans. Artif. Intell. 5(4): 1635-1646 (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): 3939-3950 (2024)
• 
  Snehal Bagawade, Majid Pahlevani, Praveen K. Jain:
  Novel DC-Bus Voltage Controller for Three-Phase Photovoltaic Microinverters. IEEE Trans. Ind. Electron. 71(8): 9013-9022 (2024)
• 
  Viswanatha Reddy G, B. S. N. V. Chaitanya, Prathyush P, Sumanth M, Mrinalini C, Dileep Kumar P, Snehasis Mukherjee:
  DFW-PP: dynamic feature weighting-based popularity prediction for social media content. J. Supercomput. 80(4): 5708-5730 (2024)
• 
  Tahir Javed, Janki Nawale, Eldho Ittan George, Sakshi Joshi, Kaushal Santosh Bhogale, Deovrat Mehendale, Ishvinder Virender Sethi, Aparna Ananthanarayanan, Hafsah Faquih, Pratiti Palit, Sneha Ravishankar, Saranya Sukumaran, Tripura Panchagnula, Sunjay Murali, Kunal Sharad Gandhi, Ambujavalli R, Manickam K. M, C. Venkata Vaijayanthi, Krishnan Srinivasa Raghavan Karunganni, Pratyush Kumar, Mitesh M. Khapra:
  IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages. ACL (Findings) 2024: 10740-10782
• 
  Sneha Mondal, Ritika, Ashish Agrawal, Preethi Jyothi, Aravindan Raghuveer:
  DIMSIM: Distilled Multilingual Critics for Indic Text Simplification. ACL (Findings) 2024: 16093-16109
• 
  Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran:
  OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR 2024: 16488-16498
• 
  David Johnson, Dustin Maas, Serhat Tadik, Alex Orange, Leigh Stoller, Kirk Webb, M. Basit Iqbal Awan, Jacob A. Bills, Miguel Gomez, Aarushi Sarbhai, Greg Durgin, Sneha Kumar Kasera, Neal Patwari, David Schurig, Jacobus E. van der Merwe:
  PowDER-RDZ: Prototyping a Radio Dynamic Zone using the POWDER platform. DySPAN 2024: 69-78
• 
  Frost Mitchell, Jie Wang, Aditya Bhaskara, Sneha Kumar Kasera:
  Utilizing Confidence in Localization Predictions for Improved Spectrum Management. DySPAN 2024: 483-492
• 
  Aarushi Sarbhai, Frost Mitchell, Sneha Kumar Kasera, Aditya Bhaskara, Jacobus Van der Merwe, Neal Patwari:
  Reactive Spectrum Sharing with Radio Dynamic Zones. DySPAN 2024: 429-438
• 
  Jie Wang, Jonathan Gornet, Alex Orange, Leigh Stoller, Gary Wong, Jacobus Van der Merwe, Sneha Kumar Kasera, Neal Patwari:
  Two Measure is Two Know: Calibration-free Full Duplex Monitoring for Software Radio Platforms. DySPAN 2024: 267-276
• 
  Amey Hengle, Atharva Kulkarni, Shantanu Patankar, Madhumitha Chandrasekaran, Sneha D'Silva, Jemima Jacob, Rashmi Gupta:
  Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis. EMNLP 2024: 16698-16721
• 
  Daniel Lin-Kit Wong, Hao Wu, Carson Molder, Sathya Gunasekar, Jimmy Lu, Snehal Khandkar, Abhinav Sharma, Daniel S. Berger, Nathan Beckmann, Gregory R. Ganger:
  Baleen: ML Admission & Prefetching for Flash Caches. FAST 2024: 347-371
• 
  Praneeth Susarla, Snehal Bhayani, S. S. Krishna Chaitanya Bulusu, Miguel Bordallo López, Janne Heikkilä, Markku J. Juntti, Olli Silvén:
  Polynomial Solvers for mmWave Radio Beamforming. ICC 2024: 1921-1926
• 
  Juhyeon Kim, Joshua Multhaup, Mahima Sneha, Adithya Pediredla:
  Efficient Time Sampling Strategy for Transient Absorption Spectroscopy. ICCP 2024: 1-12
• 
  Raghav Arora, Shivam Singh, Karthik Swaminathan, Ahana Datta, Snehasis Banerjee, Brojeshwar Bhowmick, Krishna Murthy Jatavallabhula, Mohan Sridharan, K. Madhava Krishna:
  Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments^†. ICRA 2024: 14038-14045
• 
  Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets:
  What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? ICRA 2024: 17515-17521

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