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Publication search results
found 414 matches
- 2024
- Katrina M. Romagnoli, Zachary M. Salvati, Darren Johnson, Heather M. Ramey, Alexander R. Chang, Marc S. Williams:
Genomics in nephrology: identifying informatics opportunities to improve diagnosis of genetic kidney disorders using a human-centered design approach. J. Am. Medical Informatics Assoc. 31(6): 1247-1257 (2024) - Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather:
Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. 92: 103059 (2024) - Tyler S. Manning, Emma Alexander, Bruce G. Cumming, Gregory C. DeAngelis, Xin Huang, Emily A. Cooper:
Transformations of sensory information in the brain suggest changing criteria for optimality. PLoS Comput. Biol. 20(1) (2024) - Weiping Wang, Shunqi Zhang, Zhen Wang, Xiong Luo, Ping Luan, Alexander E. Hramov, Jürgen Kurths, Chang He, Jianwu Li:
Diagnosis of Early Mild Cognitive Impairment Based on Associated High-Order Functional Connection Network Generated by Multimodal MRI. IEEE Trans. Cogn. Dev. Syst. 16(2): 618-627 (2024) - Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi:
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR abs/2402.03046 (2024) - Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. CoRR abs/2402.13071 (2024) - Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Ho-Lam Chung, Alexander H. Liu, Hung-yi Lee:
Towards audio language modeling - an overview. CoRR abs/2402.13236 (2024) - Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang:
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR abs/2402.16192 (2024) - Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphaël Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis T. Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean T. McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen:
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. CoRR abs/2402.17043 (2024) - 2023
- Arnan Araza, Martin Herold, Sytze de Bruin, Philippe Ciais, David A. Gibbs, Nancy Harris, Maurizio Santoro, Jean-Pierre Wigneron, Hui Yang, Natalia Málaga, Karimon Nesha, Pedro Rodríguez-Veiga, Olga V. Brovkina, Hugh C. A. Brown, Milen Chanev, Zlatomir Dimitrov, Lachezar Filchev, Jonas Fridman, Mariano García, Alexander Gikov, Leen Govaere, Petar Dimitrov, Fardin Moradi, Adriane Esquivel Muelbert, Jan Novotný, Thomas A. M. Pugh, Mart-Jan Schelhaas, Dmitry Schepaschenko, Krzysztof Sterenczak, Lars Hein:
Past decade above-ground biomass change comparisons from four multi-temporal global maps. Int. J. Appl. Earth Obs. Geoinformation 118: 103274 (2023) - Mathijs Schuurmans, Alexander Katriniok, Christopher Ryan Meissen, H. Eric Tseng, Panagiotis Patrinos:
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach. Artif. Intell. 320: 103920 (2023) - Alexander Trautsch, Johannes Erbel, Steffen Herbold, Jens Grabowski:
What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes. Empir. Softw. Eng. 28(2): 30 (2023) - Karishma D'sa, James R. Evans, Gurvir S. Virdi, Giulia Vecchi, Alexander Adam, Ottavia Bertolli, James Fleming, Hojong Chang, Craig Leighton, Mathew H. Horrocks, Dilan Athauda, Minee L. Choi, Sonia Gandhi:
Prediction of mechanistic subtypes of Parkinson's using patient-derived stem cell models. Nat. Mac. Intell. 5(8): 933-946 (2023) - Alexander W. Baumann, Theo A. J. Schäfer, Hannes Ruge:
Instructional load induces functional connectivity changes linked to task automaticity and mnemonic preference. NeuroImage 277: 120262 (2023) - Dominik Jäschke, Katharina M. Steiner, Dae-In Chang, Jens Claaßen, Ellen Uslar, Andreas Thieme, Marcus Gerwig, Viktor Pfaffenrot, Thomas Hulst, Alexander Gussew, Stefan Maderwald, Sophia L. Göricke, Martina Minnerop, Mark E. Ladd, Jürgen R. Reichenbach, Dagmar Timmann, Andreas Deistung:
Age-related differences of cerebellar cortex and nuclei: MRI findings in healthy controls and its application to spinocerebellar ataxia (SCA6) patients. NeuroImage 270: 119950 (2023) - Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann:
A Comprehensive Survey of Scene Graphs: Generation and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1-26 (2023) - Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann:
Video Pivoting Unsupervised Multi-Modal Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3918-3932 (2023) - Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann:
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3848-3861 (2023) - Sofia Farina, Valérie Voorsluijs, Sonja Fixemer, David S. Bouvier, Susanne Claus, Mark H. Ellisman, Stéphane P. A. Bordas, Alexander Skupin:
Mechanistic multiscale modelling of energy metabolism in human astrocytes reveals the impact of morphology changes in Alzheimer's Disease. PLoS Comput. Biol. 19(9) (2023) - Mindy K. Ross, Theja Tulabandhula, Casey C. Bennett, Eu-Gene Baek, Dohyeon Kim, Faraz Hussain, Alexander P. Demos, Emma Ning, Scott A. Langenecker, Olusola Ajilore, Alex D. Leow:
A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity. Sensors 23(3): 1585 (2023) - Alexander Kwako, Yixin Wan, Jieyu Zhao, Mark Hansen, Kai-Wei Chang, Li Cai:
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? BEA@ACL 2023: 668-681 - Emerson Lima Aredes, Marina Lourenção, Roger T. Burlton, Hajo A. Reijers, Silvia Inês Dallavale de Pádua:
A Method for Creating Process Architecture: Driving Organizational Change. Business Process Management Workshops 2023: 539-551 - Miriam Sturdee, Hayat Kara, Jason Alexander:
Exploring Co-located Interactions with a Shape-Changing Bar Chart. CHI 2023: 690:1-690:13 - Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CVPR 2023: 10459-10469 - Rishabh Tiwari, Arnav Chavan, Deepak Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535 - Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR 2023 - Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo:
PaLI: A Jointly-Scaled Multilingual Language-Image Model. ICLR 2023 - Jakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang:
Human-Timescale Adaptation in an Open-Ended Task Space. ICML 2023: 1887-1935 - Kalvin Eng, Abram Hindle, Alexander Senchenko:
Identifying Defect-Inducing Changes in Visual Code. ICSME 2023: 474-484 - Kalvin Eng, Abram Hindle, Alexander Senchenko:
Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project. ICSME 2023: 485-494
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