Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies

31 March 2025

Lucas Heublein

Nisha Lakshmana Raichur

Papers citing "Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies"

50 / 55 papers shown

Title
VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification Lucas Heublein Simon Kocher Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott DRL 75 1 0 14 Apr 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Christopher Mutschler Felix Ott 109 7 0 31 Dec 2024
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling Lucas Heublein Tobias Feigl A. Rügamer Felix Ott 104 7 0 03 Oct 2024
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization Lucas Heublein Tobias Feigl Thorsten Nowak A. Rügamer Christopher Mutschler Felix Ott 71 8 0 23 Sep 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha Lakshmana Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 111 9 0 17 May 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data Felix Ott Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Jonathan Hansen A. Rügamer Christopher Mutschler 72 9 0 09 Feb 2024
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments Felix Ott Lucas Heublein David Rügamer Bernd Bischl Christopher Mutschler 76 6 0 14 Apr 2023
Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild Vihari Piratla OOD VLM 42 5 0 05 Mar 2023
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints Zi Wang Minglin Chen Yulan Guo Zhang Li Qifeng Yu 64 33 0 23 Dec 2022
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts Neeraj Wagh Jionghao Wei Samarth Rawal Brent M. Berry Y. Varatharajah OOD 79 11 0 22 Sep 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 77 313 0 19 Jun 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets Nikolaj Thams Michael Oberst David Sontag OOD 92 12 0 31 May 2022
Sequencer: Deep LSTM for Image Classification Yuki Tatsunami Masato Taki VLM ViT 59 81 0 04 May 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift Felix Ott David Rügamer Lucas Heublein Bernd Bischl Christopher Mutschler OOD TTA AI4TS 68 33 0 07 Apr 2022
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data Mohamed Ragab Emadeldeen Eldele Wee Ling Tan Chuan-Sheng Foo Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li TTA OOD AI4TS 60 71 0 15 Mar 2022
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition Felix Ott David Rügamer Lucas Heublein Bernd Bischl Christopher Mutschler 107 9 0 16 Feb 2022
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions Zheng Li Yue Zhao Xiyang Hu N. Botta C. Ionescu George H. Chen 90 297 0 02 Jan 2022
Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle Sebastian Borgeaud Jean-Baptiste Alayrac Carl Doersch Catalin Ionescu ... Olivier J. Hénaff M. Botvinick Andrew Zisserman Oriol Vinyals João Carreira MLLM VLM GNN 86 584 0 30 Jul 2021
Deep Subdomain Adaptation Network for Image Classification Yongchun Zhu Fuzhen Zhuang Jindong Wang Guolin Ke Jingwu Chen Jiang Bian Hui Xiong Qing He 85 784 0 17 Jun 2021
Pay Attention to MLPs Hanxiao Liu Zihang Dai David R. So Quoc V. Le AI4CE 129 664 0 17 May 2021
A Transformer-based Framework for Multivariate Time Series Representation Learning George Zerveas Srideepika Jayaraman Dhaval Patel A. Bhamidipaty Carsten Eickhoff AI4TS 89 928 0 06 Oct 2020
COPOD: Copula-Based Outlier Detection Zheng Li Yue Zhao N. Botta C. Ionescu Xiyang Hu 73 287 0 20 Sep 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 123 548 0 01 Jul 2020
Interpretable Time-series Classification on Few-shot Samples Wensi Tang Lu Liu Guodong Long AI4TS 76 20 0 03 Jun 2020
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data Garrett Wilson J. Doppa D. Cook TTA AI4TS AI4CE 73 149 0 22 May 2020
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification Kevin Fauvel Elisa Fromont Véronique Masson P. Faverdin Alexandre Termier AI4TS 55 44 0 07 May 2020
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification Wensi Tang Guodong Long Lu Liu Dinesh Manocha Michael Blumenstein Jing Jiang AI4TS 109 103 0 24 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 513 10,591 0 17 Feb 2020
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation Chao Chen Zhihang Fu Zhihong Chen Sheng Jin Zhaowei Cheng Xinyu Jin Xiansheng Hua 79 203 0 27 Dec 2019
XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification E. Rahimian Soheil Zabihi S. F. Atashzar A. Asif Arash Mohammadi 64 45 0 09 Nov 2019
Meta-Learning for Few-Shot Time Series Classification Jyoti Narwariya Pankaj Malhotra Lovekesh Vig Gautam M. Shroff T. Vishnu 128 60 0 13 Sep 2019
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 170 1,110 0 11 Sep 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 156 3,033 0 06 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 90 1,816 0 10 Apr 2019
PyOD: A Python Toolbox for Scalable Outlier Detection Yue Zhao Zain Nasrullah Zheng Li 92 724 0 06 Jan 2019
On Minimum Discrepancy Estimation for Deep Domain Adaptation Mohammad Mahfujur Rahman Clinton Fookes Mahsa Baktash Sridha Sridharan OOD 95 70 0 02 Jan 2019
Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification Nelly Elsayed Anthony Maida Magdy A. Bayoumi 56 70 0 18 Dec 2018
Adversarially Learned Anomaly Detection Houssam Zenati Manon Romain Chuan-Sheng Foo Bruno Lecouat V. Chandrasekhar GAN 74 403 0 06 Dec 2018
Generative Adversarial Active Learning for Unsupervised Outlier Detection Yezheng Liu Zhe Li Chong Zhou Yuanchun Jiang Jianshan Sun Ming Wang Xiangnan He 54 301 0 28 Sep 2018
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis Jingyuan Wang Ze Wang Jianfeng Li Junjie Wu AI4TS 43 193 0 23 Jun 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 97 4,845 0 04 Mar 2018
A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu Hung Bui Hirokazu Narui Stefano Ermon 75 625 0 23 Feb 2018
Multivariate LSTM-FCNs for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi Samuel Harford AI4TS 66 831 0 14 Jan 2018
LSTM Fully Convolutional Networks for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi Shun Chen AIMat AI4TS 59 1,108 0 08 Sep 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 151 2,738 0 13 Apr 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces Chong You Daniel P. Robinson René Vidal 69 115 0 12 Apr 2017
Correlation Alignment for Unsupervised Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 49 402 0 06 Dec 2016
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 78 1,658 0 20 Nov 2016
Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long Hanhua Zhu Jianmin Wang Michael I. Jordan TTA 96 2,460 0 21 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015