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Publication search results
found 121 matches
- 2024
- Tien Vu Huu, Su Van Pham, Thao Nguyen Thi Huong, Hai-Chau Le:
QoE Aware Video Streaming Scheme Utilizing GRU-Based Bandwidth Prediction and Adaptive Bitrate Selection for Heterogeneous Mobile Networks. IEEE Access 12: 45785-45795 (2024) - Van Qui Lai, Vinay Bhushan Chauhan, Suraparb Keawsawasvong, Kongtawan Sangjinda, Jitesh T. Chavda, Lindung Zalbuin Mase:
An extreme learning neural network approach for seismic bearing capacity estimation of planar caissons in nonhomogeneous clays. Earth Sci. Informatics 17(1): 251-270 (2024) - Van Van Huynh, Phong Thanh Tran, Dong Si Thien Chau, Bach H. Dinh, Okyay Kaynak:
Sliding Surface Design for Sliding Mode Load Frequency Control of Multiarea Multisource Power System. IEEE Trans. Ind. Informatics 20(5): 7797-7809 (2024) - Nguyen Cong Luong, Le Khac Chau, Nguyen Do Duy Anh, Nguyen Huu Sang, Shaohan Feng, Van-Dinh Nguyen, Dusit Niyato, Dong In Kim:
Optimal Auction for Effective Energy Management in UAV-Assisted Vehicular Metaverse Synchronization Systems. IEEE Trans. Veh. Technol. 73(1): 1207-1222 (2024) - Krishanu Maity, Amit Tulsidas Chaulwar, Vanraj Vala, Ravi Sankar Guntur:
NanoBERT: An Extremely Compact Language Model. COMAD/CODS 2024: 342-349 - Aadi Chauhan, Taran Anand, Tanisha Jauhari, Arjav Shah, Rudransh Singh, Arjun Rajaram, Rithvik Vanga:
Identifying Race and Gender Bias in Stable Diffusion AI Image Generation. ICAIC 2024: 1-6 - Adithya Krishna, Ashwin Rajesh, Hitesh Pavan Oleti, Anand Chauhan, Shankaranarayanan H, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator. ISCAS 2024: 1 - Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz:
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR abs/2401.12208 (2024) - Asad Aali, Dave Van Veen, Yamin Ishraq Arefeen, Jason Hom, Christian Bluethgen, Eduardo Pontes Reis, Sergios Gatidis, Namuun Clifford, Joseph Daws, Arash S. Tehrani, Jangwon Kim, Akshay S. Chaudhari:
A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries. CoRR abs/2403.05720 (2024) - Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert:
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds. CoRR abs/2404.02866 (2024) - Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari:
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR abs/2406.06512 (2024) - Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim:
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR abs/2407.12687 (2024) - Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, E-Ro Nguyen, Minh-Khoi Nguyen-Nhat, Tuan-An To, Trung-Truc Huynh-Le, Nham-Tan Nguyen, Hoang-Chau Luong, Truong Hoai Phong, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran:
TextANIMAR: Text-based 3D animal fine-grained retrieval. Comput. Graph. 116: 162-172 (2023) - Bernard Hernandez, Oliver Stiff, Damien K. Ming, Ho Q. Chanh, Nguyen L. Vuong, Nguyen M. Tuan, Chau Nguyen Van Vinh, Nguyet Minh Nguyen, Huy Nguyen Quang, Lam Phung Khanh, Dong Thi Hoai Tam, Trung Dinh The, Trung-Truc Huynh-Le, Bridget Wills, Cameron P. Simmons, Alison H. Holmes, Sophie Yacoub, Pantelis Georgiou:
Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness. Frontiers Digit. Health 5 (2023) - Duy Võ Hoàng, Dong Si Thien Chau, Van Van Huynh, Viet-Thanh Pham, Rui Wang, Hui Sun, Giuseppe Grassi:
Building discrete maps with memristor and multiple nonlinear terms. Integr. 90: 126-130 (2023) - Phuc Nguyen, Hao Le, Van Bui, Thao Chau, Vy Tran, Tam Bui:
Detecting Music Plagiarism Based on Melodic Analysis. J. Inf. Hiding Multim. Signal Process. 14(2): 52-62 (2023) - Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner:
UQpy v4.1: Uncertainty quantification with Python. SoftwareX 24: 101561 (2023) - Shivendra Singh Parihar, Victor M. van Santen, Simon Thomann, Girish Pahwa, Yogesh Singh Chauhan, Hussam Amrouch:
Cryogenic CMOS for Quantum Processing: 5-nm FinFET-Based SRAM Arrays at 10 K. IEEE Trans. Circuits Syst. I Regul. Pap. 70(8): 3089-3102 (2023) - Adithya Krishna, Hitesh Pavan Oleti, Anand Chauhan, H. Shankaranarayanan, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator. BioCAS 2023: 1 - Nguyen Cong Luong, Le Khac Chau, Nguyen Do Duy Anh, Nguyen Huu Sang, Shaohan Feng, Van-Dinh Nguyen, Dusit Niyato, Dong In Kim:
Optimal Auction for Effective Energy Management for UAV-assisted Metaverse Synchronization System. CCNC 2023: 392-397 - Van Thinh Pham, Hoang Long Nguyen, Hai-Chau Le, Minh Tuan Nguyen:
Machine Learning-based Intrusion Detection System for DDoS Attack in the Internet of Things. ICSSE 2023: 375-380 - Van Thinh Pham, Van-Su Pham, Minh Tuan Nguyen, Hai-Chau Le:
Efficient Electrocardiogram-based Arrhythmia Detection Utilizing R-peaks and Machine Learning. ICSSE 2023: 604-608 - Phong Thanh Tran, Van Van Huynh, Dong Si Thien Chau, Bach Hoang Dinh:
Sliding Mode-Based Load Frequency Control of a Power System with Multi-Source Power Generation. ICSSE 2023: 142-147 - Van Thinh Pham, Tien Vu Huu, Minh Tuan Nguyen, Hai-Chau Le:
Advanced Feature Processing for IoT-Based Intrusion Detection System. RIVF 2023: 37-42 - Xuan Quang Ngo, Thai Nguyen Chau, Cong Thang Doan, Van Tu Duong, Duy Võ Hoàng, Tan Tien Nguyen:
Design of Mobile Manipulator for Fire Extinguisher Testing. Part I Key Specifications and Conceptual Design. CoRR abs/2301.10965 (2023) - Thai Nguyen Chau, Xuan Quang Ngo, Van Tu Duong, Trong Trung Nguyen, Huy Hung Nguyen, Tan Tien Nguyen:
Design of Mobile Manipulator for Fire Extinguisher Testing. Part II: Design and Simulation. CoRR abs/2301.10966 (2023) - Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, E-Ro Nguyen, Minh-Khoi Nguyen-Nhat, Tuan-An To, Trung-Truc Huynh-Le, Nham-Tan Nguyen, Hoang-Chau Luong, Truong Hoai Phong, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran:
TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval. CoRR abs/2304.06053 (2023) - Sam van der Poel, Dakotah Lambert, Kalina Kostyszyn, Tiantian Gao, Rahul Verma, Derek Andersen, Joanne Chau, Emily Peterson, Cody St. Clair, Paul Fodor, Chihiro Shibata, Jeffrey Heinz:
MLRegTest: A Benchmark for the Machine Learning of Regular Languages. CoRR abs/2304.07687 (2023) - Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner:
UQpy v4.1: Uncertainty Quantification with Python. CoRR abs/2305.09572 (2023)
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