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Author search results
Exact matches
- Daniel Arnold 0002
University of Bern, Astronomical Institute, Switzerland - Daniel Arnold 0003
Aston Business School, Birmingham, UK - Daniel Arnold 0004
University of Dundee, UK - Daniel B. Arnold
aka: Daniel Arnold 0001
Lawrence Berkeley National Laboratory, Berkeley, USA
Likely matches
- Mark Daniel Arnold
Ohio State University, Columbus, OH, USA
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Publication search results
found 245 matches
- 2024
- Arnold A. Harder, Gayla R. Olbricht
, Godwin Ekuma, Daniel B. Hier
, Tayo Obafemi-Ajayi
:
Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data. IEEE Access 12: 42974-42991 (2024) - Daniel Lee
, Matthew Arnold
, Amit Srivastava, Katrina Plastow
, Peter Strelan, Florian Ploeckl
, Dimitra Lekkas, Edward Palmer
:
The impact of generative AI on higher education learning and teaching: A study of educators' perspectives. Comput. Educ. Artif. Intell. 6: 100221 (2024) - Robert Arnold
, Anton J. Prassl
, Aurel Neic, Franz Thaler, Christoph M. Augustin
, Matthias A. F. Gsell
, Karli Gillette
, Martin Manninger
, Daniel Scherr, Gernot Plank
:
pyCEPS: A cross-platform electroanatomic mapping data to computational model conversion platform for the calibration of digital twin models of cardiac electrophysiology. Comput. Methods Programs Biomed. 254: 108299 (2024) - Tong Wu
, Anna Scaglione
, Daniel B. Arnold
:
Complex-Value Spatiotemporal Graph Convolutional Neural Networks and Its Applications to Electric Power Systems AI. IEEE Trans. Smart Grid 15(3): 3193-3207 (2024) - Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo
, Cecilia Di Ruberto
, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann:
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. WACV (Workshops) 2024: 869-891 - Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold, Mohammed Hirzallah, Roohollah Amiri, Deepak Singh Mahendar Singh, Srinivas Yerramalli, Daniel Dijkman, Fatih Porikli, Taesang Yoo, Bence Major:
Neural 5G Indoor Localization with IMU Supervision. CoRR abs/2402.09948 (2024) - Mengxi Liu, Daniel Geißler, Dominique Nshimyimana, Sizhen Bian, Bo Zhou, Paul Lukowicz:
Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition. CoRR abs/2406.11914 (2024) - 2023
- Chao Sun
, Vasiliy V. Demyanov, Daniel B. Arnold:
A conditional GAN-based approach to build 3D facies models sequentially upwards. Comput. Geosci. 181: 105460 (2023) - Megan M. Baker
, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu
, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram
, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy
, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko
, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil
, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - Katherine M. Arnold
, Delphine Sicard
, Daniel J. Tschumperlin, Jennifer J. Westendorf
:
Atomic Force Microscopy Micro-Indentation Methods for Determining the Elastic Modulus of Murine Articular Cartilage. Sensors 23(4): 1835 (2023) - Tong Wu
, Ignacio Losada Carreno, Anna Scaglione, Daniel B. Arnold
:
Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms. IEEE Trans. Smart Grid 14(5): 4086-4099 (2023) - Romeo Kienzler, Johannes Schmude, Naomi Simumba, Benedikt Blumenstiel, Marcus Freitag, Daiki Kimura, Zoltan Arnold Nagy, Michael Behrendt, Hendrik F. Hamann, S. Karthik Mukkavilli, Daniel Salles Civitarese:
TensorBank: Tensor Lakehouse for Foundation Model Training. IEEE Big Data 2023: 3350-3354 - Costas Busch, Da Qi Chen, Arnold Filtser, Daniel Hathcock, D. Ellis Hershkowitz, Rajmohan Rajaraman:
One Tree to Rule Them All: Poly-Logarithmic Universal Steiner Tree. FOCS 2023: 60-76 - Aleksandr Ermolov, Shreya Kadambi, Maximilian Arnold, Mohammed Hirzallah, Roohollah Amiri, Deepak Singh Mahendar Singh, Srinivas Yerramalli, Daniel Dijkman, Fatih Porikli, Taesang Yoo, Bence Major:
Neural 5G Indoor Localization with IMU Supervision. GLOBECOM 2023: 3922-3927 - Ciaran M. Roberts, Duncan S. Callaway, Daniel Arnold:
Outer-loop Adaptive Control of Converter-Interfaced Generation for Cyber-Physical Security. HICSS 2023: 2661-2670 - Tong Wu, Anna Scaglione, Adrian Petru Surani, Daniel B. Arnold, Sean Peisert
:
Network-Constrained Reinforcement Learning for Optimal EV Charging Control. SmartGridComm 2023: 1-6 - Mats Daniels, Anders Berglund, Arnold Pears:
A Case Study: The Uppsala Computing Education Research Group (UpCERG). Past, Present and Future of Computing Education Research 2023: 245-258 - Mats Daniels, Lauri Malmi, Arnold Pears, Simon:
What is Computing Education Research (CER)? Past, Present and Future of Computing Education Research 2023: 9-31 - Arnold Pears, Mats Daniels, Anders Berglund:
Theory and Approaches to Computing Education Research. Past, Present and Future of Computing Education Research 2023: 33-50 - Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram
, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy
, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - Tong Wu, Anna Scaglione, Daniel B. Arnold:
Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control. CoRR abs/2302.10382 (2023) - Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - Bruno Paes Leao, Jagannadh Vempati, Siddharth Bhela, Tobias Ahlgrim, Daniel Arnold:
Augmented Digital Twin for Identification of Most Critical Cyberattacks in Industrial Systems. CoRR abs/2306.04821 (2023) - Costas Busch, Da Qi Chen, Arnold Filtser, Daniel Hathcock, D. Ellis Hershkowitz, Rajmohan Rajaraman:
One Tree to Rule Them All: Poly-Logarithmic Universal Steiner Tree. CoRR abs/2308.01199 (2023) - Romeo Kienzler, Benedikt Blumenstiel, Zoltan Arnold Nagy, S. Karthik Mukkavilli, Johannes Schmude, Marcus Freitag, Michael Behrendt, Daniel Salles Civitarese, Naomi Simumba, Daiki Kimura, Hendrik F. Hamann:
TensorBank: Tensor Lakehouse for Foundation Model Training. CoRR abs/2309.02094 (2023) - Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann:
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. CoRR abs/2311.14762 (2023) - 2022
- Mikko Apiola
, Sonsoles López-Pernas
, Mohammed Saqr
, Arnold Pears
, Mats Daniels, Lauri Malmi
, Matti Tedre:
From a National Meeting to an International Conference: A Scientometric Case Study of a Finnish Computing Education Conference. IEEE Access 10: 66576-66588 (2022) - Kelsey Chetnik, Elisa Benedetti, Daniel P. Gomari, Annalise Schweickart, Richa Batra, Mustafa Buyukozkan, Zeyu Wang, Matthias Arnold
, Jonas Zierer, Karsten Suhre
, Jan Krumsiek
:
maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines. Bioinform. 38(4): 1168-1170 (2022) - Andrew Y. Revell
, Alexander B. Silva
, T. Campbell Arnold
, Joel M. Stein
, Sandhitsu R. Das, Russell T. Shinohara, Danielle S. Bassett
, Brian Litt, Kathryn A. Davis
:
A framework For brain atlases: Lessons from seizure dynamics. NeuroImage 254: 118986 (2022) - R. K. Daniels
, Joshua B. Mallinson
, Zachary Heywood
, Philip Bones, Matthew D. Arnold, Simon A. Brown
:
Reservoir computing with 3D nanowire networks. Neural Networks 154: 122-130 (2022)
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