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Publication search results
found 250 matches
- 2024
- Chaeeun Yang, Sojeong Yoon, Kyunghoon Cho:
End-to-End Path Planning Under Linear Temporal Logic Specifications. IEEE Access 12: 57410-57423 (2024) - Chunxia Zhai:
A Snowmelt Optimization Algorithm Applied to Green Low Carbon Logistics Pathways Optimization Problems. EAI Endorsed Trans. Energy Web 11 (2024) - Dongmin Kim, Dongmyeong Kim, Ignacio Llamas-Garro, Donggu Im:
A Sub-GHz/2.4 GHz Highly Selective Reconfigurable RF Front-End Employing an N-Path Complementary Balun-LNA and Linearized RF-to-BB Current-Reuse Mixer. IEEE Trans. Circuits Syst. I Regul. Pap. 71(1): 147-159 (2024) - Qinglong Meng, Chongkun Xia, Xueqian Wang, Songping Mai, Bin Liang:
PPNet: A Novel Neural Network Structure for End-to-End Near-Optimal Path Planning. CoRR abs/2401.09819 (2024) - Kirsten Eisenträger, Gabrielle Scullard:
Connecting Kani's Lemma and path-finding in the Bruhat-Tits tree to compute supersingular endomorphism rings. CoRR abs/2402.05059 (2024) - Gabriele Campanella, Eugene Fluder, Jennifer Zeng, Chad M. Vanderbilt, Thomas J. Fuchs:
Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling. CoRR abs/2403.04865 (2024) - Thomas Laurent:
Train Ego-Path Detection on Railway Tracks Using End-to-End Deep Learning. CoRR abs/2403.13094 (2024) - 2023
- Mou Wang, Sylwan Rahardja, Pasi Fränti, Susanto Rahardja:
Single-lead ECG recordings modeling for end-to-end recognition of atrial fibrillation with dual-path RNN. Biomed. Signal Process. Control. 79(Part): 104067 (2023) - Gongpeng Cao, Manli Zhang, Yiping Wang, Jing Zhang, Ying Han, Xin Xu, Jinguo Huang, Guixia Kang:
End-to-end automatic pathology localization for Alzheimer's disease diagnosis using structural MRI. Comput. Biol. Medicine 163: 107110 (2023) - Xiekui Zhang, Yihan Huang, Yiting Li:
The Path Choice of Manufacturing Enterprises to Enhance Competitiveness: Service Transformation or Product Innovation? J. Organ. End User Comput. 35(3): 1-25 (2023) - Dumindu Tissera, Rukshan Darshana Wijesinghe, Kasun Vithanage, Alex Xavier, Subha Fernando, Ranga Rodrigo:
End-to-end data-dependent routing in multi-path neural networks. Neural Comput. Appl. 35(17): 12655-12674 (2023) - Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa:
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists. Patterns 4(2): 100688 (2023) - Zhaoxia Li:
Exploring Significance of SPOC: A Path to Modernization of Music Cloud Computing. EAI Endorsed Trans. Scalable Inf. Syst. 10(6) (2023) - Der-Hau Lee, Jinn-Liang Liu:
End-to-end deep learning of lane detection and path prediction for real-time autonomous driving. Signal Image Video Process. 17(1): 199-205 (2023) - Tong Tong, Dongyang Li, Jionghui Gu, Guo Chen, Guotao Bai, Xin Yang, Kun Wang, Tian'an Jiang, Jie Tian:
Dual-Input Transformer: An End-to-End Model for Preoperative Assessment of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Ultrasonography. IEEE J. Biomed. Health Informatics 27(1): 251-262 (2023) - Yuqi Chen, Juan Liu, Zhiqun Zuo, Peng Jiang, Yu Jin, Guangsheng Wu:
Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling. ICASSP 2023: 1-5 - Ming Xu, Sourav Garg, Michael Milford, Stephen Gould:
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. ICLR 2023 - Yuan Huang, Kairui Gu, Hee-Hyol Lee:
S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem. RO-MAN 2023: 647-653 - Xingyuan Sun, Geoffrey Roeder, Tianju Xue, Ryan P. Adams, Szymon Rusinkiewicz:
More Stiffness with Less Fiber: End-to-End Fiber Path Optimization for 3D-Printed Composites. SCF 2023: 8:1-8:14 - A. Almazi Bipon, Ahmed Osman, Md Shantanu Islam, A. Taufiq Asyhari, Raouf Abozariba:
Pathfinder: End-to-End Automation of Coverage Mapping of 4G/5G Networks at Street Level. SECON 2023: 375-377 - Sagar Pathrudkar, Saadhana Venkataraman, Deepika Kanade, Aswin Ajayan, Palash Gupta, Shehzaman Salim Khatib, Vijaya Sarathi Indla, Saikat Mukherjee:
SAFR-AV: Safety Analysis of Autonomous Vehicles Using Real World Data: An End-to-End Solution for Real World Data Driven Scenario-Based Testing for Pre-Certification of AV Stacks. VEHITS 2023: 232-239 - Sagar Pathrudkar, Saadhana Venkataraman, Deepika Kanade, Aswin Ajayan, Palash Gupta, Shehzaman S. Khatib, Vijaya Sarathi Indla, Saikat Mukherjee:
SAFR-AV: Safety Analysis of Autonomous Vehicles using Real World Data - An end-to-end solution for real world data driven scenario-based testing for pre-certification of AV stacks. CoRR abs/2302.14601 (2023) - Ming Xu, Sourav Garg, Michael Milford, Stephen Gould:
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. CoRR abs/2303.10778 (2023) - Mehran Ghafarian Tamizi, Homayoun Honari, Aleksey Nozdryn-Plotnicki, Homayoun Najjaran:
End-to-end deep learning-based framework for path planning and collision checking: bin picking application. CoRR abs/2304.00119 (2023) - Peize Li, Ruining Deng, Yuankai Huo:
An End-to-end Pipeline for 3D Slide-wise Multi-stain Renal Pathology Registration. CoRR abs/2305.11968 (2023) - Arvi Jonnarth, Jie Zhao, Michael Felsberg:
End-to-end Reinforcement Learning for Online Coverage Path Planning in Unknown Environments. CoRR abs/2306.16978 (2023) - Yuan Huang, Kairui Gu, Hee-Hyol Lee:
S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem. CoRR abs/2308.04160 (2023) - Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji:
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning. CoRR abs/2310.13295 (2023) - Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J. Wagner, Katherine Jane Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather:
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology. CoRR abs/2312.10944 (2023) - 2022
- Wongsathon Pathonsuwan, Khomdet Phapatanaburi, Prawit Buayai, Talit Jumphoo, Patikorn Anchuen, Monthippa Uthansakul, Peerapong Uthansakul:
RS-MSConvNet: A Novel End-to-End Pathological Voice Detection Model. IEEE Access 10: 120450-120461 (2022)
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