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- Daniel Lochner
aka: Daniel Christopher Lochner
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Publication search results
found 25 matches
- 2024
- Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld:
The Semantic Reader Project. Commun. ACM 67(10): 50-61 (2024) - Stephan Lochner, Daniel Honerkamp, Abhinav Valada, Andrew D. Straw:
Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation. Frontiers Comput. Neurosci. 18 (2024) - Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner:
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients. CoRR abs/2403.14742 (2024) - Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner:
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series. CoRR abs/2408.08888 (2024) - 2023
- Martin Lochner, Daniel Smilek:
The uncertain advisor: trust, accuracy, and self-correction in an automated decision support system. Cogn. Process. 24(1): 95-106 (2023) - Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld:
The Semantic Scholar Open Data Platform. CoRR abs/2301.10140 (2023) - Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld:
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. CoRR abs/2303.14334 (2023) - 2022
- Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gaëtan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick C. Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman:
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. MLCN@MICCAI 2022: 115-124 - 2021
- Daniel Christopher Lochner, James Edward Gain:
VR Natural Walking in Impossible Spaces. MIG 2021: 3:1-3:9 - Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan:
Real-time detection of anomalies in large-scale transient surveys. CoRR abs/2111.00036 (2021) - Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner, Sara Webb, Gautham Narayan:
Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data. CoRR abs/2112.08415 (2021) - 2020
- Maèva Flayelle, Jesús Castro-Calvo, Claus Vögele, Robert Astur, Rafael Ballester-Arnal, Gaëlle Challet-Bouju, Matthias Brand, Georgina Cárdenas, Gaëtan Devos, Hussien Elkholy, Marie Grall-Bronnec, Richard J. E. James, Martha Jiménez-Martínez, Yasser Khazaal, Saeideh Valizadeh-Haghi, Daniel L. King, Yueheng Liu, Christine Lochner, Joël Billieux:
Towards a cross-cultural assessment of binge-watching: Psychometric evaluation of the "watching TV series motives" and "binge-watching engagement and symptoms" questionnaires across nine languages. Comput. Hum. Behav. 111: 106410 (2020) - 2019
- Marius Koller, Philip Schäfer, Daniel Lochner, Gerrit Meixner:
Rich Interactions in Virtual Reality Exposure Therapy: A Pilot-Study evaluating a System for Presentation Training. ICHI 2019: 1-11 - Michael White, James Gain, Ulysse Vimont, Daniel Lochner:
The Case for Haptic Props: Shape, Weight and Vibro-tactile Feedback. MIG 2019: 7:1-7:10 - 2014
- Andreas Duenser, Daniel Abramovici, Mohammad Obaid, Martin Lochner:
Towards reactive augmented reality exposure treatment. PervasiveHealth 2014: 362-365 - 2013
- Lucas J. Janse van Vuuren, Anton Kilian, Temwani-Joshua Phiri, Coenrad J. Fourie, Elisabeth Pozzo di Borgo, Pascal Febvre, Elda F. Saunderson, Emile T. Lochner, Daniel J. Gouws:
Implementation of an unshielded SQUID as a geomagnetic sensor. AFRICON 2013: 1-5 - 2012
- Ulrich Abelein, Helmut Lochner, Daniel Hahn, Stefan Straube:
Complexity, quality and robustness - the challenges of tomorrow's automotive electronics. DATE 2012: 870-871 - 2011
- Kevin M. Lochner, Daniel M. Reeves, Yevgeniy Vorobeychik, Michael P. Wellman:
Price Prediction in a Trading Agent Competition. CoRR abs/1107.0034 (2011) - 2005
- Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman:
Walverine: a Walrasian trading agent. Decis. Support Syst. 39(2): 169-184 (2005) - Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Shih-Fen Cheng, Rahul Suri:
Approximate Strategic Reasoning through Hierarchical Reduction of Large Symmetric Games. AAAI 2005: 502-508 - Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Rahul Suri:
Searching for Walverine 2005. AMEC@AAMAS/TADA@IJCAI 2005: 157-170 - 2004
- Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Yevgeniy Vorobeychik:
Price Prediction in a Trading Agent Competition. J. Artif. Intell. Res. 21: 19-36 (2004) - 2003
- Michael P. Wellman, Shih-Fen Cheng, Daniel M. Reeves, Kevin M. Lochner:
Trading Agents Competing: Performance, Progress, and Market Effectiveness. IEEE Intell. Syst. 18(6): 48-53 (2003) - Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman:
Walverine: a Walrasian trading agent. AAMAS 2003: 465-472 - Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner:
Price prediction in a trading agent competition (extended abstract). EC 2003: 216-217
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