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Publication search results
found 243 matches
- 2024
- Francesco Castellani, Caterina Capponi, Bruno Brunone, Matteo Vedovelli, Silvia Meniconi:
Performance Assessment of Pneumatic-Driven Automatic Valves to Improve Pipeline Fault Detection Procedure by Fast Transient Tests. Sensors 24(6): 1825 (2024) - Archisman Bhowmick, Mayank Mishra, Rekha Singhal:
TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱. COMAD/CODS 2024: 514-518 - Neal Clayton Crago, Sana Damani, Karthikeyan Sankaralingam, Stephen W. Keckler:
WASP: Exploiting GPU Pipeline Parallelism with Hardware-Accelerated Automatic Warp Specialization. HPCA 2024: 1-16 - Felix Künnecke, Anna Filighera, Colin Leong, Tim Steuer:
Enhancing Multi-Domain Automatic Short Answer Grading through an Explainable Neuro-Symbolic Pipeline. CoRR abs/2403.01811 (2024) - Anirban Mukherjee, Monjoy Narayan Choudhury, Dinesh Babu Jayagopi:
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos. CoRR abs/2403.10058 (2024) - 2023
- Giulia Debiasi, Ilaria Mazzonetto, Alessandra Bertoldo:
The effect of processing pipelines, input images and age on automatic cortical morphology estimates. Comput. Methods Programs Biomed. 242: 107825 (2023) - Andrea Urru, Ayako Nakaki, Oualid M. Benkarim, Francesca Crovetto, Laura Segalés, Valentin Comte, Nadine Hahner, Elisenda Eixarch, Eduard Gratacós, Fátima Crispi, Gemma Piella, Miguel Ángel González Ballester:
An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis. Comput. Methods Programs Biomed. 230: 107334 (2023) - Liya Ding, Xuan Zhao, Shuxia Guo, Yufeng Liu, Lijuan Liu, Yimin Wang, Hanchuan Peng:
SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline. Frontiers Neuroinformatics 17 (2023) - Hongjian Shi, Weichu Zheng, Zifei Liu, Ruhui Ma, Haibing Guan:
Automatic Pipeline Parallelism: A Parallel Inference Framework for Deep Learning Applications in 6G Mobile Communication Systems. IEEE J. Sel. Areas Commun. 41(7): 2041-2056 (2023) - Haoyi Zhao, Fa Foster Dai:
A 12-Bit 260-MS/s Pipelined-SAR ADC With Ring-TDC-Based Fine Quantizer for Automatic Cross-Domain Scale Alignment. IEEE J. Solid State Circuits 58(10): 2883-2896 (2023) - Christine Rese, Nikolai West, Mathias Gebler, Sven Krzoska, Philipp Schlunder, Jochen Deuse:
Pipeline for the Automatic Extraction of Procedural Knowledge from Assembly Instructions into Controlled Natural Language. J. Softw. 18(1): 1-14 (2023) - You Zhou, Ye Wang, Junhui Wu, Muhammad Hassan, Wei Pang, Lili Lv, Liupu Wang, Honghua Cui:
Correction to: ErythroidCounter: an automatic pipeline for erythroid cell detection, identification and counting based on deep learning. Multim. Tools Appl. 82(17): 27077 (2023) - Jianliang Min, Ming Cai, Chao Gou, Chen Xiong, Xuejiao Yao:
Fusion of forehead EEG with machine vision for real-time fatigue detection in an automatic processing pipeline. Neural Comput. Appl. 35(12): 8859-8872 (2023) - Galadrielle Humblot-Renaux, Simon Buus Jensen, Andreas Møgelmose:
From CAD Models to Soft Point Cloud Labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic Segmentation. Remote. Sens. 15(14): 3578 (2023) - Jonas Dirr, Daniel Gebauer, Jiajun Yao, Rüdiger Daub:
Automatic Image Generation Pipeline for Instance Segmentation of Deformable Linear Objects. Sensors 23(6): 3013 (2023) - Ngoc-Anh Nguyen Thi, Bao Thang Ta, Nhat Minh Le, Van Hai Do:
An Automatic Pipeline For Building Emotional Speech Dataset. APSIPA ASC 2023: 1030-1035 - Mehala Balamurali, Ehsan Mihankhah:
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline. AI (1) 2023: 55-66 - Achim Rabus, Eckhart Arnold, Anna Jouravel, Piroska Lendvai, Martin Meindl, Vladimir Polomac, Elena Renje:
Developing a Pipeline for Automatic Linguistic Analysis of Historical Manuscripts and Early Printings: The Pre-Modern Slavic Case. DH 2023 - Fabian Wagner, Miran Jank, Andrea Balz, Mathias Forjan, Philipp Urbauer:
Immersive Spatial Planning in Healthcare: Developing a Pipeline to Automatically Convert Computer Aided DesignData to Virtual Reality. dHealth 2023: 96-101 - Lidia Contreras Ochando, Pere Marco Garcia, Ana León, Lluís-F. Hurtado, Ferran Pla, Encarna Segarra:
Enhancing Precision Medicine: An Automatic Pipeline Approach for Exploring Genetic Variant-Disease Literature. ER (Workshops) 2023: 35-43 - Quan M. Nguyen, Daniel Sánchez:
Phloem: Automatic Acceleration of Irregular Applications with Fine-Grain Pipeline Parallelism. HPCA 2023: 1262-1274 - Mingxi Cheng, Fatima Zohra Daha, Amit Srivastava, Ji Li:
Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition. ICAART (2) 2023: 437-446 - Van-Giang Nguyen, Thanh-Long Do, Duc Tang Tran:
End-to-end Pipeline to Learning-based Approaches for Automatic Cranial Implant Design. ICCAIS 2023: 364-369 - Pawan K. Ajmera, Sanchit Kabra, Anish Mall, Ankur Lhila:
AMaizeD: An End to End Pipeline for Automatic Maize Disease Detection. ICST 2023: 1-6 - Miroslav N. Velev:
Automatic Formal Verification of RISC-V Pipelined Microprocessors with Fault Tolerance by Spatial Redundancy at a High Level of Abstraction. iFM 2023: 193-213 - Deven Panchal, Isilay Baran, Dan Musgrove, David Lu:
MLOps: Automatic, Zero-Touch and Reusable Machine Learning Training and Serving Pipelines. IoTaIS 2023: 175-181 - Vito Paolo Pastore, Larbi Touijer, Niccolò Capurro, Emanuele Cozzani, Giulia Gasparini, Aurora Parodi, Francesca Odone:
Incorporating Diagnostic Prior with Segmentation: A Deep Learning Pipeline for the Automatic Classification of Autoimmune Bullous Skin Diseases. ISBI 2023: 1-5 - Matteo Cavicchioli, Ludovica Pierelli, Giacomo Pugliese, Pietro Cerveri:
Automatic Liver Vessels Segmentation Using ResDense UNet And An Appropriate Preprocessing Pipeline. MetroXRAINE 2023: 166-171 - Yurui Gao, Dylan R. Lawless, Muwei Li, Yu Zhao, Kurt G. Schilling, Lyuan Xu, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Baxter P. Rogers, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, John C. Gore:
Automatic preprocessing pipeline for white matter functional analyses of large-scale databases. Medical Imaging: Image Processing 2023 - Fan Feng, Carl-Johan Carlhäll, Yongyao Tan, Shaleka Agrawal, Peter Lundberg, Jieyun Bai, John Zhiyong Yang, Mark Trew, Jichao Zhao:
FM-Net: A Fully Automatic Deep Learning Pipeline for Epicardial Adipose Tissue Segmentation. STACOM@MICCAI 2023: 88-97
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