![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Maram Akila
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j5]Sujan Sai Gannamaneni, Michael Mock, Maram Akila:
Assessing systematic weaknesses of DNNs using counterfactuals. AI Ethics 4(1): 27-35 (2024) - [j4]Sergio Genovesi
, Julia Maria Mönig, Anna Schmitz, Maximilian Poretschkin, Maram Akila, Manoj Kahdan, Romina Kleiner, Lena Krieger, Alexander Zimmermann:
Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans. AI Ethics 4(2): 537-553 (2024) - [j3]Joachim Sicking
, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer:
Wasserstein dropout. Mach. Learn. 113(5): 3161-3204 (2024) - [c10]Rebekka Görge, Michael Mock, Maram Akila:
Inspecting and Measuring Fairness of unlabeled Image Datasets. ICDEW 2024: 191-200 - [c9]Lennard Helmer, Claudio Martens, Dennis Wegener, Maram Akila, Daniel Becker, Sermad Abbas:
Towards Trustworthy AI Engineering - A Case Study on integrating an AI audit catalog into MLOps processes. RAIE@ICSE 2024 - 2023
- [j2]Elena Haedecke
, Michael Mock, Maram Akila:
ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models. Comput. Graph. 114: 265-275 (2023) - [c8]Sujan Sai Gannamaneni, Arwin Sadaghiani, Rohil Prakash Rao, Michael Mock, Maram Akila:
Investigating CLIP Performance for Meta-data Generation in AD Datasets. CVPR Workshops 2023: 3840-3850 - [i12]Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, Joachim Sicking, Elena Schulz, Angelika Voss, Stefan Wrobel:
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. CoRR abs/2307.03681 (2023) - [i11]Sujan Sai Gannamaneni, Michael Mock, Maram Akila:
Assessing Systematic Weaknesses of DNNs using Counterfactuals. CoRR abs/2308.01614 (2023) - 2022
- [j1]Anna Schmitz
, Maram Akila, Dirk Hecker, Maximilian Poretschkin, Stefan Wrobel:
The why and how of trustworthy AI. Autom. 70(9): 793-804 (2022) - [c7]Elena Haedecke
, Michael Mock, Maram Akila:
ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions. EuroVA@EuroVis 2022: 1-5 - [c6]Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz:
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. ICPRAM 2022: 237-248 - [i10]Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel:
Tailored Uncertainty Estimation for Deep Learning Systems. CoRR abs/2204.13963 (2022) - [i9]Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin, Maram Akila:
A Survey on Uncertainty Toolkits for Deep Learning. CoRR abs/2205.01040 (2022) - 2021
- [c5]Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila:
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. CVPR Workshops 2021: 56-65 - [c4]Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz:
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CVPR Workshops 2021: 85-92 - [c3]Sujan Sai Gannamaneni, Sebastian Houben, Maram Akila:
Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA. ICCVW 2021: 1006-1014 - [c2]Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz:
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. IV Workshops 2021: 182-189 - [i8]Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel:
A Novel Regression Loss for Non-Parametric Uncertainty Optimization. CoRR abs/2101.02726 (2021) - [i7]Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz:
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. CoRR abs/2104.09254 (2021) - [i6]Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila:
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. CoRR abs/2104.11691 (2021) - [i5]Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe
, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle:
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR abs/2104.14235 (2021) - [i4]Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz:
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. CoRR abs/2106.05549 (2021) - 2020
- [c1]Stephanie Abrecht, Maram Akila, Sujan Sai Gannamaneni, Konrad Groh, Christian Heinzemann, Sebastian Houben, Matthias Woehrle:
Revisiting Neuron Coverage and Its Application to Test Generation. SAFECOMP Workshops 2020: 289-301 - [i3]Joachim Sicking, Maram Akila, Tim Wirtz, Sebastian Houben, Asja Fischer:
Characteristics of Monte Carlo Dropout in Wide Neural Networks. CoRR abs/2007.05434 (2020) - [i2]Joachim Sicking, Maximilian Pintz, Maram Akila, Tim Wirtz:
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. CoRR abs/2012.09783 (2020) - [i1]Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Asja Fischer, Stefan Wrobel:
Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. CoRR abs/2012.12687 (2020)
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint