- Louisa Ha
, Debipreeta Rahut
, Michael Ofori
, Shudipta Sharma
, Michael Harmon
, Amonia Tolofari, Bernadette Bowen
, Yanqin Lu
, Amir Khan
:
Implications of source, content, and style cues in curbing health misinformation and fake news. Internet Res. 33(5): 1949-1970 (2023) - Amir Hashemi
, H. Michael Möller:
A new algorithm for computing staggered linear bases. J. Symb. Comput. 117: 1-14 (2023) - Sameh N. Hameedi, Amir Sagiv
, Michael I. Weinstein
:
Radiative Decay of Edge States in Floquet Media. Multiscale Model. Simul. 21(3): 925-963 (2023) - Andre Esteva, Jean Feng
, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan
, Yilun Sun
, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani
, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou
, Matthew P. Lungren, Serena Yeung
, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler
, Phuoc T. Tran, Daniel E. Spratt
, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - Ashkan Dehghani Zahedani, Arvind Veluvali, Tracey McLaughlin, Nima Aghaeepour, Amir Hosseinian, Saransh Agarwal, Jingyi Ruan, Shital Tripathi, Mark Woodward, Noosheen Hashemi, Michael Snyder
:
Digital health application integrating wearable data and behavioral patterns improves metabolic health. npj Digit. Medicine 6 (2023) - AmirReza Alizade Nikoo
, Michael H. Böhlen
, Sven Helmer
:
Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation. Proc. ACM Manag. Data 1(4): 235:1-235:26 (2023) - Atieh Mohammadkhani, Amirhossein Amiri
, Michael B. C. Khoo:
A review of ranked set sampling and modified methods in designing control charts. Qual. Reliab. Eng. Int. 39(4): 1465-1493 (2023) - Hayk Amirkhanyan
, Michal Krawczyk
, Maciej Wilamowski
:
Do male and female authors employ different journal choice strategies? Scientometrics 128(11): 5905-5928 (2023) - Ori Rappel, Michael Amir, Alfred M. Bruckstein:
Stigmergy-based, Dual-Layer Coverage of Unknown Regions. AAMAS 2023: 1439-1447 - Ehab Abdelhamid, Amirhossein Aleyasen, Michael Duller, Eric Foratier, Vincent Fruleux, Mirella Katch, Gourab Mitra, Rima Mutreja, Jozsef Patvarczki, Matthew Pope, Nikos Tsikoudis, F. Michael Waas:
How Global Retailer ADEO Migrated to Google BigQuery with Database Virtualization. IEEE Big Data 2023: 1895-1898 - Guy Amir, Osher Maayan, Tom Zelazny, Guy Katz, Michael Schapira:
Verifying Generalization in Deep Learning. CAV (2) 2023: 438-455 - Michael Amir, Yigal Koifman, Yakov Bloch, Ariel Barel, Alfred M. Bruckstein:
Multi-Agent Distributed and Decentralized Geometric Task Allocation. CDC 2023: 8355-8362 - Andreas Koch
, Michael Petry
, Max Ghiglione
, Amir Raoofy
, Gabriel Dax
, Gianluca Furano
, Martin Werner
, Carsten Trinitis
, Martin Langer
:
Machine Learning Application Benchmark. CF 2023: 229-235 - Julian Scheipl
, Amir Raoofy
, Michael Ott
, Josef Weidendorfer
:
Phase-aware System-Side Sampling for HPC. CF 2023: 220-221 - Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte
, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu:
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659 - Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami:
Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks. ECAI 2023: 2234-2241 - Ben Eyal, Moran Mahabi, Ophir Haroche, Amir Bachar, Michael Elhadad:
Semantic Decomposition of Question and SQL for Text-to-SQL Parsing. EMNLP (Findings) 2023: 13629-13645 - Reyhaneh Rabaninejad, Behzad Abdolmaleki, Giulio Malavolta, Antonis Michalas
, Amir Nabizadeh:
stoRNA: Stateless Transparent Proofs of Storage-time. ESORICS (3) 2023: 389-410 - Alon Shats, Michael Amir, Noa Agmon:
Competitive Ant Coverage: The Value of Pursuit. IROS 2023: 6733-6740 - Aryan Ghazipour, Tyler Settle, Benjamin Veasey, Emily Daugherty, Samuel Keltner, Nitin Kumar, James Ververs, Michael Farris, Neal Dunlap, Amir A. Amini:
Survival Outcome Prediction for Stereotactic Body Radiation Therapy of Lung Cancer from Post-RT Ct Images with RNN/CNN Deep Learning. ISBI 2023: 1-4 - Anirudh Potlapally, Shubham Mahajan, Michael Briden, Harrison Shawa, Andrea Medina Lopez, Daniel Yoon, Amir Mazaheri, Hsinya Yang, Sara Dahle, Roslyn R. Isseroff, Narges Norouzi:
WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment. ISBI 2023: 1-5 - Wei-Lun Huang, Davood Tashayyod, Jun Kang, Amir Gandjbakhche, Michael Kazhdan, Mehran Armand:
Skin Lesion Correspondence Localization in Total Body Photography. MICCAI (7) 2023: 260-269 - Hooman Vaseli
, Ang Nan Gu
, S. Neda Ahmadi Amiri
, Michael Y. Tsang, Andrea Fung, Nima Kondori
, Armin Saadat
, Purang Abolmaesumi, Teresa S. M. Tsang:
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography. MICCAI (6) 2023: 368-378 - Amir Torabi, George Sklivanitis, Dimitris A. Pados, Elizabeth Serena Bentley, Joseph Suprenant, Michael J. Medley:
Interference-Avoiding RFSoC-based MIMO Links. MILCOM 2023: 249-250 - Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Speculative Decoding with Big Little Decoder. NeurIPS 2023 - Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami:
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. NeurIPS 2023 - Mohak Chadha
, Eishi Arima
, Amir Raoofy
, Michael Gerndt
, Martin Schulz
:
Sustainability in HPC: Vision and Opportunities. SC Workshops 2023: 1876-1880 - Karl Bringmann, Michael Kapralov, Mikhail Makarov, Vasileios Nakos, Amir Yagudin, Amir Zandieh
:
Traversing the FFT Computation Tree for Dimension-Independent Sparse Fourier Transforms. SODA 2023: 4768-4845