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2005.13166
Cited By
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure
Model-Based Safety and Assessment (MBSA), 2020
27 May 2020
Mohammed Naveed Akram
Ioannis Sorokos
D. Whiting
Ramin Tavakoli Kolagari
Y. Papadopoulos
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Papers citing
"SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure"
17 / 17 papers shown
Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems
Victoria Hodge
Colin Paterson
Ibrahim Habli
154
2
0
24 Oct 2025
Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics
Model-Based Safety and Assessment (MBSA), 2025
Oliver Dunn
Mohammed Naveed Akram
Y. Papadopoulos
147
1
0
04 Sep 2025
Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML
Model-Based Safety and Assessment (MBSA), 2025
Kuniko Paxton
Mohammed Naveed Akram
Amila Akagić
Dhavalkumar Thakker
Y. Papadopoulos
FAtt
MedIm
205
0
0
28 Aug 2025
Incorporating Failure of Machine Learning in Dynamic Probabilistic Safety Assurance
Model-Based Safety and Assessment (MBSA), 2025
Razieh Arshadizadeh
Mahmoud Asgari
Zeinab Khosravi
Y. Papadopoulos
Mohammed Naveed Akram
188
1
0
07 Jun 2025
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection
Lynn Vonderhaar
Timothy Elvira
T. Procko
Omar Ochoa
293
0
0
21 Jun 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Yuheng Huang
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
434
12
0
12 Apr 2024
Scope Compliance Uncertainty Estimate
Al-Harith Farhad
Ioannis Sorokos
Mohammed Naveed Akram
Mohammed Naveed Akram
Daniel Schneider
177
3
0
17 Dec 2023
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers
European Conference on Artificial Intelligence (ECAI), 2023
T. Zoppi
Andrea Ceccarelli
A. Bondavalli
UQCV
227
3
0
23 Aug 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
IEEE Transactions on Software Engineering (TSE), 2023
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
S. Ramesh
409
14
0
03 Aug 2023
Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring
Sohag Kabir
Mohammed Naveed Akram
P. Gope
F. Campean
Y. Papadopoulos
161
1
0
23 Nov 2022
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms
Model-Based Safety and Assessment (MBSA), 2022
Connor Walker
Callum Rothon
Mohammed Naveed Akram
Y. Papadopoulos
Nina Dethlefs
AI4CE
208
6
0
19 Jul 2022
SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities
Model-Based Safety and Assessment (MBSA), 2022
Mohammed Naveed Akram
Panagiota Nikolaou
Martin Walker
Mohammed Naveed Akram
Ioannis Sorokos
...
M. Michael
T. Theocharides
Georgios Ellinas
D. Schneider
Y. Papadopoulos
145
10
0
12 Jul 2022
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring
Model-Based Safety and Assessment (MBSA), 2022
Al-Harith Farhad
Ioannis Sorokos
Andreas Schmidt
Mohammed Naveed Akram
Mohammed Naveed Akram
Daniel Schneider
285
5
0
11 Jul 2022
StaDRe and StaDRo: Reliability and Robustness Estimation of ML-based Forecasting using Statistical Distance Measures
Mohammed Naveed Akram
Akshatha Ambekar
Ioannis Sorokos
Mohammed Naveed Akram
Daniel Schneider
OOD
167
5
0
17 Jun 2022
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components
Michael Kläs
Lisa Jöckel
R. Adler
Jan Reich
174
5
0
10 Feb 2022
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
International Conference on Automated Software Engineering (ASE), 2021
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
594
87
0
26 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
IEEE Access (IEEE Access), 2021
Eike Petersen
Yannik Potdevin
Esfandiar Mohammadi
Stephan Zidowitz
Sabrina Breyer
...
Sandra Henn
Ludwig Pechmann
M. Leucker
P. Rostalski
Christian Herzog
FaML
AILaw
OOD
317
38
0
20 Jul 2021
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