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- Marion Neumann
Washington University in St. Louis, MO, USA
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Publication search results
found 30 matches
- 2023
- Michael Guerzhoy, Marion Neumann, Pat Virtue, Carolyn Jane Anderson, Yaman Kumar Singla, Alexi Orchard, Rajiv Ratn Shah:
EAAI-23 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. AI Matters 9(2): 24-29 (2023) - 2022
- Michael Guerzhoy, Marion Neumann, Emmanuel Johnson, David Johnson, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan:
EAAI-22 Blue Sky Ideas in Artificial Intelligence Education from the AAAI/ACM SIGAI New and Future AI Educator Program. AI Matters 8(2): 16-21 (2022) - Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R. O. Payne, Adam B. Wilcox, Melissa A. Haendel, Christopher G. Chute, Kenneth R. Gersing, Anita Walden, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Hongfang Liu, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Justin Starren, Christine Suver, Chunlei Wu, Davera Gabriel, Stephanie S. Hong, Kristin Kostka, Harold P. Lehmann, Richard A. Moffitt, Michele Morris, Matvey B. Palchuk, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Mark M. Bissell, Marshall Clark, Andrew T. Girvin, Adam M. Lee, Robert T. Miller, Kellie M. Walters, Yooree Chae, Connor Cook, Alexandra Dest, Racquel R. Dietz, Thomas Dillon, Patricia A. Francis, Rafael Fuentes, Alexis Graves, Andrew J. Neumann, Shawn T. O'Neil, Usman Sheikh, Andréa M. Volz, Elizabeth Zampino, Christopher P. Austin, Samuel Bozzette, Mariam Deacy, Nicole Garbarini, Michael G. Kurilla, Sam G. Michael, Joni L. Rutter, Meredith Temple-O'Connor, Katie Rebecca Bradwell, Amin Manna, Nabeel Qureshi, Mary Morrison Saltz, Julie A. McMurry, Carolyn T. Bramante, Jeremy Richard Harper, Wenndy Hernandez, Farrukh M. Koraishy, Federico Mariona, Saidulu Mattapally, Amit Saha, Satyanarayana Vedula, Yujuan Fu, Nisha Mathews, Ofer Mendelevitch:
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 29(8): 1350-1365 (2022) - 2021
- Marion Neumann, Robin Linzmayer:
Capturing Student Feedback and Emotions in Large Computing Courses: A Sentiment Analysis Approach. SIGCSE 2021: 541-547 - 2020
- Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett:
Model AI Assignments 2020. AAAI 2020: 13509-13511 - Christopher Morris, Nils M. Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, Marion Neumann:
TUDataset: A collection of benchmark datasets for learning with graphs. CoRR abs/2007.08663 (2020) - 2019
- Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Iolanda Leite, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Marion Neumann, Plamen Petrov, Michael Rovatsos, David G. Stork:
ACM SIGAI activity report. AI Matters 5(3): 6-11 (2019) - Marion Neumann:
AI profiles: an interview with Thomas Dietterich. AI Matters 5(1): 7-9 (2019) - Marion Neumann:
AI profiles: an interview with Leslie Kaelbling. AI Matters 5(2): 4-5 (2019) - Marion Neumann:
AI education matters: a first introduction to modeling and learning using the data science workflow. AI Matters 5(3): 21-24 (2019) - Laura Antanas, Plinio Moreno, Marion Neumann, Rui Pimentel de Figueiredo, Kristian Kersting, José Santos-Victor, Luc De Raedt:
Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach. Auton. Robots 43(6): 1393-1418 (2019) - Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel:
A unifying view of explicit and implicit feature maps of graph kernels. Data Min. Knowl. Discov. 33(6): 1505-1547 (2019) - Michael P. Snyder, Shin Lin, Amanda Posgai, Mark Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt-Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar-Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Long Cai, Cole Trapnell, Dana Jackson, Garry P. Nolan, William James Greenleaf, Sylvia K. Plevritis, Sara Ahadi, Stephanie A. Nevins, Hayan Lee, Christian Martijn Schuerch, Sarah Black, Vishal Gautham Venkataraaman, Ed Esplin, Aaron Horning, Amir Bahmani, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Bernd Bodenmiller, Todd Brusko, Michael Clare-Salzler, Harry Nick, Kevin Otto, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond Harris, Mark P. de Caestecker, Agnes B. Fogo, Raf Van de Plas, Ken Lau, Guo-Cheng Yuan, Qian Zhu, Ruben Dries, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Dong Hye Ye, Kristin E. Burnum-Johnson, Paul D. Piehowski, Charles Ansong, Ying Zhu, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Sarah A. Teichmann, Benedict Paten, Robert F. Murphy, Jian Ma, Vladimir Yu. Kiselev, Carl Kingsford, Allyson Ricarte, Maria Keays, Sushma Anand Akoju, Matthew Ruffalo, Margaret Vella, Chuck McCallum, Leonard E. Cross, Samuel H. Friedman, Randy W. Heiland, Bruce William Herr II, Paul Macklin, Ellen M. Quardokus, Lisel Record, James P. Sluka, Griffin M. Weber, Philip D. Blood, Alexander Ropelewski, William Shirey, Robin M. Scibek, Paula M. Mabee, W. Christopher Lenhardt, Kimberly Robasky, Stavros Michailidis, John C. Marioni, Andrew Butler, Tim Stuart, Eyal Fisher, Shila Ghazanfar, Gökcen Eraslan, Tommaso Biancalani, Eeshit D. Vaishnav, Pothur Srinivas, Aaron Pawlyk, Salvatore Sechi, Elizabeth L. Wilder, James Anderson:
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nat. 574(7777): 187-192 (2019) - Todd W. Neller, Raja Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul Talaga, Christopher Archibald, Adam Summerville, Joseph C. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, Nate Derbinsky, Elena Strange, Marion Neumann, Jonathan Chen, Zac Christensen, Michael Wollowski, Oscar Youngquist:
Model AI Assignments 2019. AAAI 2019: 9751-9753 - 2018
- Marion Neumann:
AI profiles: an interview with Kristian Kersting. AI Matters 4(3): 19-21 (2018) - Marion Neumann:
AI profiles: an interview with Iolanda Leite. AI Matters 4(4): 7-8 (2018) - Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen:
An End-to-End Deep Learning Architecture for Graph Classification. AAAI 2018: 4438-4445 - 2017
- Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel:
A Unifying View of Explicit and Implicit Feature Maps for Structured Data: Systematic Studies of Graph Kernels. CoRR abs/1703.00676 (2017) - 2016
- Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting:
Propagation kernels: efficient graph kernels from propagated information. Mach. Learn. 102(2): 209-245 (2016) - 2015
- Marion Neumann:
Learning with Graphs using Kernels from Propagated Information. University of Bonn, 2015 - Marion Neumann, Shan Huang, Daniel E. Marthaler, Kristian Kersting:
pyGPs: a Python library for Gaussian process regression and classification. J. Mach. Learn. Res. 16: 2611-2616 (2015) - 2014
- Nils M. Kriege, Marion Neumann, Kristian Kersting, Petra Mutzel:
Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels. ICDM 2014: 881-886 - Marion Neumann, Lisa Hallau, Benjamin Klatt, Kristian Kersting, Christian Bauckhage:
Erosion Band Features for Cell Phone Image Based Plant Disease Classification. ICPR 2014: 3315-3320 - Laura Antanas, Plinio Moreno, Marion Neumann, Rui Pimentel de Figueiredo, Kristian Kersting, José Santos-Victor, Luc De Raedt:
High-level Reasoning and Low-level Learning for Grasping: A Probabilistic Logic Pipeline. CoRR abs/1411.1108 (2014) - Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting:
Propagation Kernels. CoRR abs/1410.3314 (2014) - 2013
- Marion Neumann, Roman Garnett, Kristian Kersting:
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels. ACML 2013: 357-372 - 2012
- Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting:
Efficient Graph Kernels by Randomization. ECML/PKDD (1) 2012: 378-393 - Martin Schiegg, Marion Neumann, Kristian Kersting:
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data. AISTATS 2012: 1002-1011 - 2011
- Marion Neumann, Babak Ahmadi, Kristian Kersting:
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation. AAAI 2011: 447-452 - 2009
- Marion Neumann, Kristian Kersting, Zhao Xu, Daniel Schulz:
Stacked Gaussian Process Learning. ICDM 2009: 387-396
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