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Publication search results
found 51 matches
- 2024
- John Mitros:
Generalization vs. Memorization in the Presence of Statistical Biases in Transformers. CoRR abs/2409.04654 (2024) - 2022
- Sarandis Mitropoulos, Konstantinos Giannakos, John Achlioptas, Christos Douligeris:
A prototype workflow MIS for supply chain management: architecture, implementation and business evaluation. Int. J. Bus. Inf. Syst. 41(1): 43-68 (2022) - Levi Burner, Anton Mitrokhin, Cornelia Fermüller, Yiannis Aloimonos:
EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms. CoRR abs/2205.03467 (2022) - 2021
- John Mitros, Brian Mac Namee:
On the Importance of Regularisation and Auxiliary Information in OOD Detection. ICONIP (6) 2021: 361-368 - John Mitros, Brian Mac Namee:
On the Importance of Regularisation & Auxiliary Information in OOD Detection. CoRR abs/2107.07564 (2021) - 2020
- George A. Papakostas, John W. Nolan, Athanasios C. Mitropoulos:
Nature-Inspired Optimization Algorithms for the 3D Reconstruction of Porous Media. Algorithms 13(3): 65 (2020) - Anton Mitrokhin, Peter Sutor Jr., Douglas Summers-Stay, Cornelia Fermüller, Yiannis Aloimonos:
Symbolic Representation and Learning With Hyperdimensional Computing. Frontiers Robotics AI 7: 63 (2020) - Mohsen Khadem, John J. O'Neill, Zisos Mitros, Lyndon Da Cruz, Christos Bergeles:
Autonomous Steering of Concentric Tube Robots via Nonlinear Model Predictive Control. IEEE Trans. Robotics 36(5): 1595-1602 (2020) - Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermüller, Yiannis Aloimonos:
Learning Visual Motion Segmentation Using Event Surfaces. CVPR 2020: 14402-14411 - John Mitros, Arjun Pakrashi, Brian Mac Namee:
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. ECCV Workshops (1) 2020: 71-87 - Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos:
Network Deconvolution. ICLR 2020 - Lehlogonolo Ledwaba, Gerhard P. Hancke, Aikaterini Mitrokotsa, Sherrin John Isaac:
A Delegated Proof of Proximity Scheme for Industrial Internet of Things Consensus. IECON 2020: 4441-4446 - Chengxi Ye, Anton Mitrokhin, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos:
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion with Event-Based Sensors. IROS 2020: 5831-5838 - Stella Markantonatou, John P. McCrae, Jelena Mitrovic, Carole Tiberius, Carlos Ramisch, Ashwini Vaidya, Petya Osenova, Agata Savary:
Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons, MWE-LEX@COLING 2020, online, December 13, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-50-7 [contents] - John Mitros, Arjun Pakrashi, Brian Mac Namee:
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings. CoRR abs/2009.01798 (2020) - 2019
- Anton Mitrokhin, Peter Sutor Jr., Cornelia Fermüller, Yiannis Aloimonos:
Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception. Sci. Robotics 4(30) (2019) - John Mitros, Brian Mac Namee:
On the Validity of Bayesian Neural Networks for Uncertainty Estimation. AICS 2019: 140-151 - Mohsen Khadem, John J. O'Neill, Zisos Mitros, Lyndon Da Cruz, Christos Bergeles:
Autonomous Steering of Concentric Tube Robots for Enhanced Force/Velocity Manipulability. IROS 2019: 2197-2204 - Anton Mitrokhin, Chengxi Ye, Cornelia Fermüller, Yiannis Aloimonos, Tobi Delbrück:
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras. IROS 2019: 6105-6112 - Roza Mavropodi, Maria Zouka, Panagiotis D. Bamidis, Evangelos Logaras, Paraskevas Lagakis, Maria K. Krizea, Alexis Fourlis, Sarandis Mitropoulos, Nancy Karanasiou, John Gialelis, Antonis Billis, Petros Nicopolitidis, Georgios I. Papadimitriou, Theodosis S. Papavramidis:
The Architecture of an Intelligent Incident Response System in Health Environments. SEEDA-CECNSM 2019: 1-5 - Anton Mitrokhin, Chengxi Ye, Cornelia Fermüller, Yiannis Aloimonos, Tobi Delbrück:
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras. CoRR abs/1903.07520 (2019) - John Mitros, Brian Mac Namee:
A Categorisation of Post-hoc Explanations for Predictive Models. CoRR abs/1904.02495 (2019) - Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos:
Network Deconvolution. CoRR abs/1905.11926 (2019) - John Mitros, Brian Mac Namee:
On the Validity of Bayesian Neural Networks for Uncertainty Estimation. CoRR abs/1912.01530 (2019) - 2018
- John Mitro, Derek Bridge, Steve Prestwich:
Denoising Dictionary Learning Against Adversarial Perturbations. AAAI Workshops 2018: 364-371 - Anton Mitrokhin, Cornelia Fermüller, Chethan Parameshwara, Yiannis Aloimonos:
Event-Based Moving Object Detection and Tracking. IROS 2018: 1-9 - John Mitro, Derek Bridge, Steven D. Prestwich:
Denoising Dictionary Learning Against Adversarial Perturbations. CoRR abs/1801.02257 (2018) - Anton Mitrokhin, Cornelia Fermüller, Chethan Parameshwara, Yiannis Aloimonos:
Event-based Moving Object Detection and Tracking. CoRR abs/1803.04523 (2018) - Chengxi Ye, Anton Mitrokhin, Chethan Parameshwara, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos:
Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data. CoRR abs/1809.08625 (2018) - 2017
- Emmanouil Viennas, Angeliki Komianou, Clint Mizzi, Maja Stojiljkovic, Christina Mitropoulou, Juha Muilu, Mauno Vihinen, Panagiota Grypioti, Styliani Papadaki, Cristiana Pavlidis, Branka Zukic, Theodora Katsila, Peter J. van der Spek, Sonja Pavlovic, Giannis Tzimas, George P. Patrinos:
Expanded national database collection and data coverage in the FINDbase worldwide database for clinically relevant genomic variation allele frequencies. Nucleic Acids Res. 45(Database-Issue): D846-D853 (2017)
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