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2020 – today
- 2024
[j18]Eivind Strøm
, Odd Erik Gundersen:
Performance metrics for multi-step forecasting measuring win-loss, seasonal variance and forecast stability: an empirical study. Appl. Intell. 54(21): 10490-10515 (2024)- [j17]Johannes Rehm, Irina Reshodko, Odd Erik Gundersen:
A virtual driving instructor that assesses driving performance on par with human experts. Expert Syst. Appl. 248: 123355 (2024) - [c27]Johannes Rehm, Irina Reshodko, Stian Zimmermann Børresen, Odd Erik Gundersen:
The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education. AAAI 2024: 22806-22814 - [c26]J. Fredrik R. Bjørnland, Yrjar Gedde, Johannes Rehm, Irina Reshodko, Odd Erik Gundersen:
A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level. AAAI 2024: 22850-22856 - [i5]Håkon Hanisch Kjærnli, Lluis Mas-Ribas, Aida Ashrafi, Gleb Sizov, Helge Langseth, Odd Erik Gundersen:
Probing the Robustness of Time-series Forecasting Models with CounterfacTS. CoRR abs/2403.03508 (2024) - 2023
- [j16]Kristen Brent Venable, Odd Erik Gundersen:
Editorial. AI Mag. 44(1): 3 (2023) - [j15]Wajeeha Nasar, Ricardo da Silva Torres, Odd Erik Gundersen, Anniken Susanne Th. Karlsen:
The Use of Decision Support in Search and Rescue: A Systematic Literature Review. ISPRS Int. J. Geo Inf. 12(5): 182 (2023) - [c25]Gunnar Grotmol, Eivind Hovdegård Furdal, Nisha Dalal, Are Løkken Ottesen, Ella-Lovise Hammervold Rørvik, Martin Mølnå, Gleb Sizov, Odd Erik Gundersen:
A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses. AAAI 2023: 15503-15511 - [c24]Odd Erik Gundersen, Saeid Shamsaliei, Håkon Sletten Kjærnli, Helge Langseth:
On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness. ACM-REP 2023: 37-61 - [i4]Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan:
REFORMS: Reporting Standards for Machine Learning Based Science. CoRR abs/2308.07832 (2023) - [i3]Kevin L. Coakley, Christine R. Kirkpatrick, Odd Erik Gundersen:
Examining the Effect of Implementation Factors on Deep Learning Reproducibility. CoRR abs/2312.06633 (2023) - 2022
- [j14]Odd Erik Gundersen, Saeid Shamsaliei, Richard Isdahl:
Do machine learning platforms provide out-of-the-box reproducibility? Future Gener. Comput. Syst. 126: 34-47 (2022) - [c23]Kevin L. Coakley, Christine R. Kirkpatrick, Odd Erik Gundersen:
Examining the Effect of Implementation Factors on Deep Learning Reproducibility. e-Science 2022: 397-398 - [i2]Odd Erik Gundersen, Kevin L. Coakley, Christine R. Kirkpatrick:
Sources of Irreproducibility in Machine Learning: A Review. CoRR abs/2204.07610 (2022) - 2021
- [j13]Odd Erik Gundersen:
The Case Against Registered Reports. AI Mag. 42(1): 88-92 (2021) - [j12]Nisha Dalal, Martin Mølnå, Mette Herrem, Magne Røen, Odd Erik Gundersen:
Day-Ahead Forecasting of Losses in the Distribution Network. AI Mag. 42(2): 38-49 (2021) - [j11]Kristen Brent Venable, Odd Erik Gundersen:
Letter from the Editors: AI Magazine in the New Era of AI. AI Mag. 42(3): 79-80 (2021) - 2020
- [j10]Odd Erik Gundersen:
The Reproducibility Crisis Is Real. AI Mag. 41(3): 103-106 (2020) - [j9]Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia-Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang:
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41(4): 100-114 (2020) - [c22]Nisha Dalal, Martin Mølnå, Mette Herrem, Magne Røen, Odd Erik Gundersen:
Day-Ahead Forecasting of Losses in the Distribution Network. AAAI 2020: 13148-13155 - [c21]Martin K. H. Sandberg, Johannes Rehm, Matej Mnoucek, Irina Reshodko, Odd Erik Gundersen:
Explaining Traffic Situations - Architecture of a Virtual Driving Instructor. ITS 2020: 115-124 - [i1]Odd Erik Gundersen:
The Fundamental Principles of Reproducibility. CoRR abs/2011.10098 (2020)
2010 – 2019
- 2019
- [j8]Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni:
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40(3): 67-78 (2019) - [j7]Odd Erik Gundersen:
Standing on the Feet of Giants - Reproducibility in AI. AI Mag. 40(4): 9-23 (2019) - [j6]Channarong Intahchomphoo, André Vellino, Odd Erik Gundersen:
Connecting with Youth at Risk: Indigenous Organizations Use of Facebook. J. Community Informatics 15 (2019) - [c20]Richard Isdahl, Odd Erik Gundersen:
Out-of-the-Box Reproducibility: A Survey of Machine Learning Platforms. eScience 2019: 86-95 - [c19]Miltos Petridis, Mirjam Minor, Stefania Montani, Odd Erik Gundersen:
Workshop preface. ICCBR Workshops 2019: 61-62 - [e2]Galina L. Rogova, Nicolette M. McGeorge, Odd Erik Gundersen, Kellyn Rein, Mary D. Freiman:
IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2019, Las Vegas, NV, USA, April 8-11, 2019. IEEE 2019, ISBN 978-1-5386-9599-9 [contents] - 2018
- [j5]David W. Aha, Kerstin Bach, Odd Erik Gundersen, Jean Lieber:
The 25th International Conference on Case-Based Reasoning. AI Mag. 39(2): 79-80 (2018) - [j4]Odd Erik Gundersen, Yolanda Gil, David W. Aha:
On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications. AI Mag. 39(3): 56-68 (2018) - [c18]Odd Erik Gundersen, Sigbjørn Kjensmo:
State of the Art: Reproducibility in Artificial Intelligence. AAAI 2018: 1644-1651 - [c17]Gabriel Berthling-Hansen, Eivind Morch, Rikke Amilde Løvlid, Odd Erik Gundersen:
Automating Behaviour Tree Generation for Simulating Troop Movements (Poster). CogSIMA 2018: 147-153 - [e1]Galina L. Rogova, Christian Lebiere, Odd Erik Gundersen, Andrea Salfinger, Ken Baclawski:
IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2018, Boston, MA, USA, June 11-14, 2018. IEEE 2018 [contents] - 2017
- [c16]Odd Erik Gundersen, Christoffer Pram, Fredrik Øvergård:
Hailing a ride with a rescue helicopter: A case study. CogSIMA 2017: 1-3 - 2016
- [c15]Odd Erik Gundersen, Fredrik Øvergaard, Jannicke Røren:
Towards reducing the reaction time of emergency services through improved situation assessment. CogSIMA 2016: 205-211 - [c14]Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork:
Case Representation and Similarity Assessment in the selfBACK Decision Support System. ICCBR 2016: 32-46 - [c13]Kerstin Bach, Tomasz Szczepanski, Agnar Aamodt, Odd Erik Gundersen, Paul Jarle Mork:
Case Representation and Similarity Assessment in the selfBACK Decision Support System. LWDA 2016: 153-154 - 2015
- [c12]Odd Erik Gundersen:
Towards Scientific Benchmarks: On Increasing the Credibility of Benchmarks. 3DOR@Eurographics 2015: 83-86 - [c11]Odd Erik Gundersen:
Decision support in the automated future: an analysis from the rig site. CogSIMA 2015: 206-212 - 2014
- [b1]Odd Erik Gundersen:
Enhancing the Situation Awareness of Decision Makers by Applying Case-Based Reasoning on Streaming Data. Norwegian University of Science and Technology, Trondheim, Norway, 2014 - [c10]Kerstin Bach, Odd Erik Gundersen, Christian Knappskog, Pinar Öztürk:
Automatic Case Capturing for Problematic Drilling Situations. ICCBR 2014: 48-62 - [p1]Odd Erik Gundersen:
The Role of Context and its Elements in Situation Assessment. Context in Computing 2014: 343-357 - 2013
- [j3]Odd Erik Gundersen, Frode Sørmo, Agnar Aamodt, Pål Skalle:
A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations. AI Mag. 34(1): 21-32 (2013) - [j2]Pål Skalle, Agnar Aamodt, Odd Erik Gundersen:
Experience transfer for process improvement. Eng. Appl. Artif. Intell. 26(9): 2206-2214 (2013) - [c9]Odd Erik Gundersen:
Situational Awareness in Context. CONTEXT 2013: 274-287 - 2012
- [c8]Odd Erik Gundersen, Frode Sørmo, Agnar Aamodt, Pål Skalle:
A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations. IAAI 2012: 2209-2216 - [c7]Odd Erik Gundersen:
Toward Measuring the Similarity of Complex Event Sequences in Real-Time. ICCBR 2012: 107-121 - 2011
- [c6]Rune Havnung Bakken, Odd Erik Gundersen:
View-Independent Human Gait Recognition Using CBR and HMM. SCAI 2011: 143-152 - 2010
- [j1]Pinar Öztürk, Kari Rossland, Odd Erik Gundersen:
A multiagent framework for coordinated parallel problem solving. Appl. Intell. 33(2): 132-143 (2010) - [c5]Agnar Aamodt, Odd Erik Gundersen, Jon H. Loge, Elisabet Wasteson, Tomasz Szczepanski:
Case-based reasoning for assessment and diagnosis of depression in palliative care. CBMS 2010: 480-485
2000 – 2009
- 2009
- [c4]Odd Erik Gundersen, Jo Skjermo:
A Framework for Physically Based Forest Fire Animation. TPCG 2009: 85-92 - 2007
- [c3]Lars Andreas Ek, Rune Vistnes, Odd Erik Gundersen:
Animating physically based explosions in real-time. Afrigraph 2007: 61-69 - [c2]Odd Erik Gundersen, Lars Tangvald:
Level of Detail for Physically Based Fire. TPCG 2007: 213-220 - 2006
- [c1]Samuel Rødal, Geir Storli, Odd Erik Gundersen:
Physically Based Simulation and Visualization of Fire in Real-Time using the GPU. TPCG 2006: 13-20
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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