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Publication search results
found 655 matches
- 2024
- Lior Rabkin, Ilan Cohen, Gonen Singer:
Resource allocation in ordinal classification problems: A prescriptive framework utilizing machine learning and mathematical programming. Eng. Appl. Artif. Intell. 132: 107914 (2024) - Serhat Hizlisoy, Recep Sinan Arslan, Emel Çolakoglu:
Singer identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learning. EURASIP J. Audio Speech Music. Process. 2024(1): 14 (2024) - Sigall K. Bell, Maelys J. Amat, Timothy S. Anderson, Mark D. Aronson, James C. Benneyan, Leonor Fernandez, Dru A Ricci, Talya Salant, Gordon D. Schiff, Umber Shafiq, Sara J. Singer, Scot B. Sternberg, Cancan Zhang, Russell S. Phillips:
Do patients who read visit notes on the patient portal have a higher rate of "loop closure" on diagnostic tests and referrals in primary care? A retrospective cohort study. J. Am. Medical Informatics Assoc. 31(3): 622-630 (2024) - Andreas Jechow, Jan Bumberger, Bert Palm, Paul Remmler, Günter Schreck, Igor Ogashawara, Christine Kiel, Katrin Kohnert, Hans-Peter Grossart, Gabriel A. Singer, Jens C. Nejstgaard, Sabine Wollrab, Stella A. Berger, Franz Hölker:
Characterizing and Implementing the Hamamatsu C12880MA Mini-Spectrometer for Near-Surface Reflectance Measurements of Inland Waters. Sensors 24(19): 6445 (2024) - Paul G. Singerman, Sean M. O'Rourke, Ram M. Narayanan, Asok Ray, Muralidhar Rangaswamy:
Symbolic Dynamics for Radar Target Maneuver Detection With High Data Rates. IEEE Trans. Aerosp. Electron. Syst. 60(2): 1647-1659 (2024) - Zakaria Mehrab, Logan Stundal, Srinivasan Venkatramanan, Samarth Swarup, Bryan Leroy Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, Seyed M. Moghadas, David Leblang, Rita R. Colwell, Madhav V. Marathe:
A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration. AAAI 2024: 23027-23033 - Zakaria Mehrab, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, David Leblang, Rita R. Colwell, Madhav V. Marathe:
Network Agency: An Agent-based Model of Forced Migration from Ukraine. AAMAS 2024: 1372-1380 - Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman:
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. ICML 2024 - Samuel P. Jones, Saumya Kareem Reni, Izzet Kale:
Machine Learning for Monitoring Vocal Health and Performance of Professional Singers. ISCAS 2024: 1-5 - Manan Mittal, Ryan M. Corey, Yongjie Zhuang, Andrew C. Singer:
Low Latency Two Stage Beamforming with Distributed Microphone Arrays Using a Planewave Decomposition. IWAENC 2024: 180-184 - Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta:
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. NAACL-HLT (Findings) 2024: 4502-4520 - Yongqi Wang, Ruofan Hu, Rongjie Huang, Zhiqing Hong, Ruiqi Li, Wenrui Liu, Fuming You, Tao Jin, Zhou Zhao:
Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt. NAACL-HLT 2024: 4780-4794 - Adrian Schwarzenberger, Stefan Singer, Carsten Eschenbaum, Malte Martens, Adrian Mertens, Georges Dagher, Luca Valenziano, Sidra Sarwar, Hend Kholeif, Alexander Kotz, Thomas Zwick, Stefan Bräse, Wolfgang Freude, Sebastian Randel, Christian Koos:
Linear-Drive Amplifier-Less 112 Gbit/s PAM4 Operation of a Silicon-Organic Hybrid (SOH) Mach-Zehnder Modulator at 265 mVpp. OFC 2024: 1-3 - Adrian Schwarzenberger, Sidra Sarwar, Carsten Eschenbaum, Adrian Mertens, Malte Martens, Alexander Kotz, Dengyang Fang, Alban Sherifaj, Stefan Singer, Hend Kholeif, P. Kern, Peter Erk, Artem Kuzmin, S. Erase, Sebastian Randel, Wolfgang Freude, Christian Koos:
O-Band SOH Mach-Zehnder Modulator Operating at a PAM4 Line Rate of 384 Gbit/s with Sub-Volt Drive Voltage. OFC 2024: 1-3 - Bernardo Torres, Stefan Lattner, Gaël Richard:
Singer Identity Representation Learning using Self-Supervised Techniques. CoRR abs/2401.05064 (2024) - Sankalpa Ghose, Yip Fai Tse, Kasra Rasaee, Jeff Sebo, Peter Singer:
The Case for Animal-Friendly AI. CoRR abs/2403.01199 (2024) - Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman:
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. CoRR abs/2403.01329 (2024) - Yongqi Wang, Ruofan Hu, Rongjie Huang, Zhiqing Hong, Ruiqi Li, Wenrui Liu, Fuming You, Tao Jin, Zhou Zhao:
Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt. CoRR abs/2403.11780 (2024) - Amit Eliav, Aaron Taub, Renana Opochinsky, Sharon Gannot:
SingIt! Singer Voice Transformation. CoRR abs/2405.04627 (2024) - Dan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky:
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly. CoRR abs/2405.13995 (2024) - Yuexuan Kong, Viet-Anh Tran, Romain Hennequin:
STraDa: A Singer Traits Dataset. CoRR abs/2406.04140 (2024) - Shihao Chen, Yu Gu, Jie Zhang, Na Li, Rilin Chen, Liping Chen, Lirong Dai:
LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance. CoRR abs/2406.05325 (2024) - Gerhard Zeisler, Tim Tobias Braunauer, Albert Fleischmann, Robert Singer:
A Step Towards a Universal Method for Modeling and Implementing Cross-Organizational Business Processes. CoRR abs/2406.12302 (2024) - Hokuto Munakata, Ryo Terashima, Yusuke Fujita:
Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework. CoRR abs/2406.16315 (2024) - Dorian Desblancs, Gabriel Meseguer-Brocal, Romain Hennequin, Manuel Moussallam:
From Real to Cloned Singer Identification. CoRR abs/2407.08647 (2024) - Dan Kalifa, Uriel Singer, Kira Radinsky:
GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning. CoRR abs/2408.00057 (2024) - Melissa R. Dale, Elliot Singer, Bengt J. Borgström, Arun Ross:
To Impute or Not: Recommendations for Multibiometric Fusion. CoRR abs/2408.07883 (2024) - Doron Yeverechyahu, Raveesh Mayya, Gal Oestreicher-Singer:
The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot. CoRR abs/2409.08379 (2024) - Aidan Gilson, Xuguang Ai, Thilaka Arunachalam, Ziyou Chen, Ki Xiong Cheong, Amisha D. Dave, Cameron Duic, Mercy Kibe, Annette Kaminaka, Minali Prasad, Fares Siddig, Maxwell B. Singer, Wendy Wong, Qiao Jin, Tiarnan D. L. Keenan, Xia Hu, Emily Y. Chew, Zhiyong Lu, Hua Xu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen:
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology. CoRR abs/2409.13902 (2024) - 2023
- Ohad Volk, Anat Ratnovsky, Sara Naftali, Gonen Singer:
Classification of tracheal stenosis with asymmetric misclassification errors from EMG signals using an adaptive cost-sensitive learning method. Biomed. Signal Process. Control. 85: 104962 (2023)
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