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"Time": models, code, and papers
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Untrained Neural Network based Bayesian Detector for OTFS Modulation Systems

May 08, 2023
Hao Chang, Alva Kosasih, Wibowo Hardjawana, Xinwei Qu, Branka Vucetic

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Privacy-preserving Adversarial Facial Features

May 08, 2023
Zhibo Wang, He Wang, Shuaifan Jin, Wenwen Zhang, Jiahui Hu, Yan Wang, Peng Sun, Wei Yuan, Kaixin Liu, Kui Ren

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Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework

May 08, 2023
Jannatul Nayem, Sayed Sahriar Hasan, Noshin Amina, Bristy Das, Md Shahin Ali, Md Manjurul Ahsan, Shivakumar Raman

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Strategy for Rapid Diabetic Retinopathy Exposure Based on Enhanced Feature Extraction Processing

May 08, 2023
V. Banupriya, S. Anusuya

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Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows

Apr 03, 2023
Léo Baty, Kai Jungel, Patrick S. Klein, Axel Parmentier, Maximilian Schiffer

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X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs

Apr 03, 2023
Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Jim Ignowski, Catherine E. Graves

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Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

May 11, 2023
Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Max Berniker, Ziheng Wang, Rogerio Nespolo, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Bo Liu, David Austin, Yiheng Wang, Michal Futrega, Jean-Francois Puget, Zhenqiang Li, Yoichi Sato, Ryo Fujii, Ryo Hachiuma, Mana Masuda, Hideo Saito, An Wang, Mengya Xu, Mobarakol Islam, Long Bai, Winnie Pang, Hongliang Ren, Chinedu Nwoye, Luca Sestini, Nicolas Padoy, Maximilian Nielsen, Samuel Schüttler, Thilo Sentker, Hümeyra Husseini, Ivo Baltruschat, Rüdiger Schmitz, René Werner, Aleksandr Matsun, Mugariya Farooq, Numan Saaed, Jose Renato Restom Viera, Mohammad Yaqub, Neil Getty, Fangfang Xia, Zixuan Zhao, Xiaotian Duan, Xing Yao, Ange Lou, Hao Yang, Jintong Han, Jack Noble, Jie Ying Wu, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Herag Arabian, Ning Ding, Knut Moeller, Weiliang Chen, Quan He, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony Jarc

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EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification

May 11, 2023
Souhail Bakkali, Ziheng Ming, Mickael Coustaty, Marçal Rusiñol

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DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous Vehicles

May 11, 2023
Sebastian Huch, Florian Sauerbeck, Johannes Betz

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Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser

May 11, 2023
Timothy Chu, Gary Miller, Noel Walkington

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