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Publication search results
found 41 matches
- 2024
- Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer:
GPT-3-Driven Pedagogical Agents to Train Children's Curious Question-Asking Skills. Int. J. Artif. Intell. Educ. 34(2): 483-518 (2024) - Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam:
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics Autom. Lett. 9(2): 1182-1189 (2024) - 2023
- Lucía Graña-Miraglia, Nadia Morales-Lizcano, Pauline W. Wang, David M. Hwang, Yvonne C. W. Yau, Valerie J. Waters, David S. Guttman:
Predictive modeling of antibiotic eradication therapy success for new-onset Pseudomonas aeruginosa pulmonary infections in children with cystic fibrosis. PLoS Comput. Biol. 19(9) (2023) - Xiuhua Li, Xiang Wang, Pauline Ong, Zeren Yi, Lu Ding, Chao Han:
Fast Recognition and Counting Method of Dragon Fruit Flowers and Fruits Based on Video Stream. Sensors 23(20): 8444 (2023) - Thorir Mar Ingolfsson, Upasana Chakraborty, Xiaying Wang, Sándor Beniczky, Pauline Ducouret, Simone Benatti, Philippe Ryvlin, Andrea Cossettini, Luca Benini:
EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems. BioCAS 2023: 1-5 - Adrià Recasens, Jason Lin, João Carreira, Andrew Jaegle, Luyu Wang, Jean-Baptiste Alayrac, Pauline Luc, Antoine Miech, Lucas Smaira, Ross Hemsley, Andrew Zisserman:
Zorro: the masked multimodal transformer. CoRR abs/2301.09595 (2023) - Milad Ramezani, Liang Wang, Joshua Knights, Zhibin Li, Pauline Pounds, Peyman Moghadam:
Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. CoRR abs/2309.00168 (2023) - Thorir Mar Ingolfsson, Upasana Chakraborty, Xiaying Wang, Sándor Beniczky, Pauline Ducouret, Simone Benatti, Philippe Ryvlin, Andrea Cossettini, Luca Benini:
EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems. CoRR abs/2309.07135 (2023) - 2022
- Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord:
Towards Learning Universal Audio Representations. ICASSP 2022: 4593-4597 - Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer:
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation. CoRR abs/2209.11000 (2022) - 2021
- Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis:
Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. 71: 41-88 (2021) - Stephen Kirkland, Zhisheng Shuai, Pauline van den Driessche, Xueying Wang:
Impact of Varying Community Networks on Disease Invasion. SIAM J. Appl. Math. 81(3): 1166-1189 (2021) - Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman:
Broaden Your Views for Self-Supervised Video Learning. ICCV 2021: 1235-1245 - Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu:
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. ICDM 2021: 679-688 - Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman:
Broaden Your Views for Self-Supervised Video Learning. CoRR abs/2103.16559 (2021) - Luyu Wang, Pauline Luc, Adrià Recasens, Jean-Baptiste Alayrac, Aäron van den Oord:
Multimodal Self-Supervised Learning of General Audio Representations. CoRR abs/2104.12807 (2021) - Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu:
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. CoRR abs/2110.07717 (2021) - Luyu Wang, Pauline Luc, Yan Wu, Adrià Recasens, Lucas Smaira, Andrew Brock, Andrew Jaegle, Jean-Baptiste Alayrac, Sander Dieleman, João Carreira, Aäron van den Oord:
Towards Learning Universal Audio Representations. CoRR abs/2111.12124 (2021) - 2020
- Pauline Puteaux, Zichi Wang, Xinpeng Zhang, William Puech:
Hierarchical High Capacity Data Hiding in JPEG Crypto-compressed Images. EUSIPCO 2020: 725-729 - Hongyi Duanmu, Pauline Boning Huang, Srinidhi Brahmavar, Stephanie Lin, Thomas Ren, Jun Kong, Fusheng Wang, Tim Q. Duong:
Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data. MICCAI (2) 2020: 242-252 - Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis:
Game Plan: What AI can do for Football, and What Football can do for AI. CoRR abs/2011.09192 (2020) - 2018
- Jason Wang, David Goldberg, Pauline Burke, Dave Bhoite:
Designing and Analyzing A/B Tests in an Online Marketplace. ICDM Workshops 2018: 1447-1452 - 2017
- David Savage, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu, Qingmai Wang:
Distributed Mining of Contrast Patterns. IEEE Trans. Parallel Distributed Syst. 28(7): 1881-1890 (2017) - David Savage, Qingmai Wang, Xiuzhen Zhang, Pauline Chou, Xinghuo Yu:
Detection of Money Laundering Groups: Supervised Learning on Small Networks. AAAI Workshops 2017 - 2016
- Qingmai Wang, Xinghuo Yu, Pauline Lienhua Chou, David Savage, Xiuzhen Zhang, Jiangxia Zhong:
Power usage spike detection using smart meter data for load profiling. ISIE 2016: 732-737 - David Savage, Qingmai Wang, Pauline Lienhua Chou, Xiuzhen Zhang, Xinghuo Yu:
Detection of money laundering groups using supervised learning in networks. CoRR abs/1608.00708 (2016) - David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Lienhua Chou, Qingmai Wang:
Anomaly detection in online social networks. CoRR abs/1608.00301 (2016) - David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Lienhua Chou, Qingmai Wang:
Detection of opinion spam based on anomalous rating deviation. CoRR abs/1608.00684 (2016) - 2015
- David Savage, Xiuzhen Zhang, Xinghuo Yu, Pauline Lienhua Chou, Qingmai Wang:
Detection of opinion spam based on anomalous rating deviation. Expert Syst. Appl. 42(22): 8650-8657 (2015) - 2014
- Brian J. Raney, Timothy R. Dreszer, Galt P. Barber, Hiram Clawson, Pauline A. Fujita, Ting Wang, Ngan Nguyen, Benedict Paten, Ann S. Zweig, Donna Karolchik, W. James Kent:
Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser. Bioinform. 30(7): 1003-1005 (2014)
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