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Publication search results
found 94 matches
- 2021
- Benjamin Lee, Dave Brown, Bongshin Lee, Christophe Hurter, Steven Mark Drucker, Tim Dwyer:
Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality. IEEE Trans. Vis. Comput. Graph. 27(2): 1095-1105 (2021) - 2020
- Matthijs Westera, Jacopo Amidei, Laia Mayol:
Similarity or deeper understanding? Analyzing the TED-Q dataset of evoked questions. COLING 2020: 5004-5012 - Alexander D'Amour, Hansa Srinivasan, James Atwood, Pallavi Baljekar, D. Sculley, Yoni Halpern:
Fairness is not static: deeper understanding of long term fairness via simulation studies. FAT* 2020: 525-534 - Alexander Hölzemann, Kristof Van Laerhoven:
Digging deeper: towards a better understanding of transfer learning for human activity recognition. ISWC 2020: 50-54 - Zhi-Qin John Xu, Hanxu Zhou:
Deep frequency principle towards understanding why deeper learning is faster. CoRR abs/2007.14313 (2020) - Benjamin Lee, Dave Brown, Bongshin Lee, Christophe Hurter
, Steven Mark Drucker, Tim Dwyer:
Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality. CoRR abs/2009.00059 (2020) - 2019
- Qiqi Duan, Chang Shao, Liang Qu, Yuhui Shi, Ben Niu:
When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations. CEC 2019: 721-730 - Paul S. Rosenbloom:
(A)symmetry × (Non)monotonicity: Towards a Deeper Understanding of Key Cognitive Di/Trichotomies and the Common Model of Cognition. CogSci 2019: 3347 - Ingo Gross, Dirk Reith
, Martina Grein, Iris Gross:
Deeper Theoretical Understanding by Means of Practical Experience in Electric and Electronic Circuits for Freshmen. EDUCON 2019: 781-786 - Ronny Schüritz, Killian Farrell, Barbara H. Wixom, Gerhard Satzger:
Value Co-Creation in Data-Driven Services: Towards a Deeper Understanding of the Joint Sphere. ICIS 2019 - Jiahong Wu, He Zheng, Bo Zhao, Yixin Li, Baoming Yan, Rui Liang, Wenjia Wang, Shipei Zhou, Guosen Lin, Yanwei Fu, Yizhou Wang, Yonggang Wang:
Large-Scale Datasets for Going Deeper in Image Understanding. ICME 2019: 1480-1485 - Birgit Pohn, Michaela Kargl, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Müller:
Towards a Deeper Understanding of How a Pathologist Makes a Diagnosis: Visualization of the Diagnostic Process in Histopathology. ISCC 2019: 1081-1086 - Zhuyun Dai, Jamie Callan:
Deeper Text Understanding for IR with Contextual Neural Language Modeling. SIGIR 2019: 985-988 - Kadian Davis-Owusu
, Evans Owusu
, Lucio Marcenaro
, Carlo S. Regazzoni
, Loe M. G. Feijs, Jun Hu
:
Towards a Deeper Understanding of the Behavioural Implications of Bidirectional Activity-Based Ambient Displays in Ambient Assisted Living Environments. Enhanced Living Environments 2019: 108-151 - Hao-Wen Dong, Yi-Hsuan Yang:
Towards a Deeper Understanding of Adversarial Losses. CoRR abs/1901.08753 (2019) - Zhuyun Dai, Jamie Callan:
Deeper Text Understanding for IR with Contextual Neural Language Modeling. CoRR abs/1905.09217 (2019) - Stephanie M. Lukin, Claire Bonial, Clare R. Voss:
Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes. CoRR abs/1906.00038 (2019) - 2018
- Bryan P. Tripp:
A deeper understanding of the brain. NeuroImage 180(Part): 114-116 (2018) - Valentina Dagiene:
Resurgence of Informatics Education in Schools - A Way to a Deeper Understanding of Informatics Concepts. Adventures Between Lower Bounds and Higher Altitudes 2018: 522-537 - Eric Yen, Simon C. Lin, Yu-Lin Tsai, Tso-Ren Wu, Chuan-Yao Lin:
Open Application Framework for Disaster Mitigation Based on Deeper Understanding Approach. ICT-DM 2018: 1-5 - Frédéric Béchet, Christian Raymond:
Is ATIS Too Shallow to Go Deeper for Benchmarking Spoken Language Understanding Models? INTERSPEECH 2018: 3449-3453 - Dominik Scholz, Benedikt Jaeger, Lukas Schwaighofer, Daniel Raumer, Fabien Geyer, Georg Carle:
Towards a Deeper Understanding of TCP BBR Congestion Control. Networking 2018: 109-117 - Joy Nathalie M. Avelino, Carmi Anne Loren Mora, Jessica Patricia Balaquit:
Ahead of the Curve: A Deeper Understanding of Network Threats Through Machine Learning. TENCON 2018: 1172-1176 - Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao:
Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations. CoRR abs/1802.05155 (2018) - 2017
- Mihai Pomarlan, Daniel Nyga, Mareike Picklum, Sebastian Koralewski, Michael Beetz:
Deeper Understanding of Vague Instructions through Simulated Execution. AAMAS 2017: 1694-1696 - Evelina Di Corso, Francesco Ventura, Tania Cerquitelli:
All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection. IEEE BigData 2017: 3722-3726 - Manfred Geiger, Lena Waizenegger, Tamsin Treasure-Jones, Christina Sarigianni, Ronald Maier, Stefan Thalmann, Ulrich Remus:
Not Just Another Type of Resistance - towards a Deeper Understanding of Supportive non-Use. ECIS 2017: 150 - Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos:
MMD GAN: Towards Deeper Understanding of Moment Matching Network. NIPS 2017: 2203-2213 - Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein:
Training Quantized Nets: A Deeper Understanding. NIPS 2017: 5811-5821 - Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos:
MMD GAN: Towards Deeper Understanding of Moment Matching Network. CoRR abs/1705.08584 (2017)
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retrieved on 2021-04-13 09:40 CEST from data curated by the dblp team
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