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Publication search results
found 183 matches
- 2024
- Lorenzo Miretti, Thomas Kühne, Alper Schultze, Wilhelm Keusgen, Giuseppe Caire, Michael Peter, Slawomir Stanczak, Taro Eichler:
Little or No Equalization is Needed in Energy-Efficient Sub-THz Mobile Access. IEEE Commun. Mag. 62(2): 94-100 (2024) - Muhammad Ali Farooq, Wang Yao, Michael Schukat, Mark A Little, Peter Corcoran:
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN. CoRR abs/2401.05159 (2024) - 2023
- Zifu Wang, Yun Li, Kevin Wang, Jacob Cain, Mary Salami, Daniel Q. Duffy, Michael M. Little, Chaowei Yang:
Adopting GPU computing to support DL-based Earth science applications. Int. J. Digit. Earth 16(1): 2660-2680 (2023) - Raghuvir Jonnagiri, Elias Sundström, Ephraim J. Gutmark, Shae Anderson, Amol S. Pednekar, Michael D. Taylor, Justin T. Tretter, Iris Gutmark-Little:
Influence of aortic valve morphology on vortical structures and wall shear stress. Medical Biol. Eng. Comput. 61(6): 1489-1506 (2023) - Michal Kleinbort, Kiril Solovey, Zakary Littlefield, Kostas E. Bekris, Dan Halperin:
Corrections to "Probabilistic Completeness of RRT for Geometric and Kinodynamic Planning With Forward Propagation". IEEE Robotics Autom. Lett. 8(2): 1149-1150 (2023) - Katina Michael:
The Crowdsourced Panopticon: Conformity and Control on Social Media - Jeremy Weissman (New York, NY, USA: Rowman & Littlefield, 2021). IEEE Technol. Soc. Mag. 42(4): 27-31 (2023) - Nastaran Davudi Pahnehkolaee, Shawanda Littlejohn, Lauria Lewis, Michael Scott Brown:
Increasing Accuracy in Predicting Student Test Scores with Regression Using Domain Reduction Technique of Principal Component Analysis. FIE 2023: 1-7 - Markus Eisenbach, Jannik Lübberstedt, Dustin Aganian, Horst-Michael Gross:
A Little Bit Attention Is All You Need for Person Re-Identification. ICRA 2023: 7598-7605 - Nicola Montaut, Piotr Roztocki, Hao Yu, Stefania Sciara, Mario Chemnitz, Yoann Jestin, Benjamin MacLellan, Bennet Fischer, Michael Kues, Christian Reimer, Luis Romero Cortés, Benjamin Wetzel, Yanbing Zhang, Sebastien Loranger, Raman Kashyap, Alfonso Cino, Sai T. Chu, Brent E. Little, David J. Moss, Lucia Caspani, William J. Munro, José Azaña, Roberto Morandotti:
Scalable Quantum Signal Processing with Integrated Photonics and Fiber-based Modules. ICTON 2023: 1-4 - Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Speculative Decoding with Big Little Decoder. NeurIPS 2023 - Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Big Little Transformer Decoder. CoRR abs/2302.07863 (2023) - Markus Eisenbach, Jannik Lübberstedt, Dustin Aganian, Horst-Michael Gross:
A Little Bit Attention Is All You Need for Person Re-Identification. CoRR abs/2302.14574 (2023) - 2022
- Michal M. Wieclaw:
tesliper: a theoretical spectroscopist's little helper. J. Open Source Softw. 7(72): 4164 (2022) - Abhijith Punnappurath, Michael S. Brown:
A Little Bit More: Bitplane-Wise Bit-Depth Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9718-9724 (2022) - Evangelos Manolas, Michael Littledyke:
Sociological Imagination and Climate Change: An Application of the Richard E. Gross Problem-solving Model. HAICTA 2022: 179-183 - Aditya Pradeep, Ido Nachum, Michael Gastpar:
Finite Littlestone Dimension Implies Finite Information Complexity. ISIT 2022: 3055-3060 - Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek:
Taxonomy of Benchmarks in Graph Representation Learning. LoG 2022: 6 - Camille Olivia Little, Michael Weylandt, Genevera I. Allen:
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier. CoRR abs/2206.00074 (2022) - Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek:
Taxonomy of Benchmarks in Graph Representation Learning. CoRR abs/2206.07729 (2022) - Aditya Pradeep, Ido Nachum, Michael Gastpar:
Finite Littlestone Dimension Implies Finite Information Complexity. CoRR abs/2206.13257 (2022) - Y.-L. Mong, Kendall Ackley, T. L. Killestein, Duncan K. Galloway, Martin J. Dyer, R. Cutter, Michael James Isles Brown, Joseph Lyman, Krzysztof Ulaczyk, Danny Steeghs, Vik Dhillon, Paul O'Brien, Gavin Ramsay, Kanthanakorn Noysena, Rubina Kotak, Rene Breton, Laura Nuttall, Enric Pallé, Don Pollacco, E. Thrane, S. Awiphan, U. Burhanudin, P. Chote, A. Chrimes, E. Daw, C. Duffy, R. Eyles-Ferris, B. P. Gompertz, T. Heikkilä, P. Irawati, M. Kennedy, A. Levan, S. Littlefair, Lydia Makrygianni, T. Marsh, D. Mata Sánchez, S. Mattila, J. R. Maund, J. McCormac, D. Mkrtichian, J. Mullaney, E. Rol, Utane Sawangwit, E. Stanway, R. Starling, P. Strøm, S. Tooke, K. Wiersema:
Self-Supervised Clustering on Image-Subtracted Data with Deep-Embedded Self-Organizing Map. CoRR abs/2209.06375 (2022) - Lorenzo Miretti, Thomas Kühne, Alper Schultze, Wilhelm Keusgen, Giuseppe Caire, Michael Peter, Slawomir Stanczak, Taro Eichler:
Little or no equalization is needed in energy-efficient sub-THz mobile access. CoRR abs/2210.05806 (2022) - 2021
- Takuya Iwanaga, Hsiao-Hsuan Wang, Serena H. Hamilton, Volker Grimm, Tomasz E. Koralewski, Alejandro Salado, Sondoss Elsawah, Saman Razavi, Jing Yang, Pierre Glynn, Jennifer M. Badham, Alexey A. Voinov, Min Chen, William E. Grant, Tarla Rai Peterson, Karin Frank, Gary Shenk, C. Michael Barton, John C. Little:
Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach. Environ. Model. Softw. 135: 104885 (2021) - Michael Berks, Geoff J. M. Parker, Ross Little, Sue Cheung:
Madym: A C++ toolkit for quantitative DCE-MRI analysis. J. Open Source Softw. 6(66): 3523 (2021) - Rebecca Currano, So Yeon Park, Dylan James Moore, Kent Lyons, David Sirkin:
Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers' Perceptions of Automated Vehicles. CHI 2021: 511:1-511:15 - Kelsi L. Schwind, Michael J. Starek, Megan Lamb:
UAS-SFM and Airborne Lidar to Measure Hurricane Impacts and Short-Term Recovery Along Little St. George Island, FL, USA. IGARSS 2021: 8534-8537 - David Muhr, Michael Affenzeller:
Little data is often enough for distance-based outlier detection. ISM 2021: 984-992 - Michael Lujan, Michael McCrary, Blake W. Ford, Ziliang Zong:
Vulkan vs OpenGL ES: Performance and Energy Efficiency Comparison on the big.LITTLE Architecture. NAS 2021: 1-8 - Renming Liu, Semih Cantürk, Frederik Wenkel, Dylan Sandfelder, Devin Kreuzer, Anna Little, Sarah McGuire, Leslie O'Bray, Michael Perlmutter, Bastian Rieck, Matthew J. Hirn, Guy Wolf, Ladislav Rampásek:
Towards a Taxonomy of Graph Learning Datasets. CoRR abs/2110.14809 (2021) - 2020
- Iman Abdalla, Michael B. Rahaim, Thomas D. C. Little:
Interference Mitigation Through User Association and Receiver Field of View Optimization in a Multi-User Indoor Hybrid RF/VLC Illuminance-Constrained Network. IEEE Access 8: 228779-228797 (2020)
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