Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Anahid Naghibzadeh-Jalali is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Decoding the Unknown: Unveiling Industrial Time Series Classification with Counterfactuals
Naghibzadeh-Jalali, A., Rauber, A. & Lampert, J., 23 Jun 2023, In: ERCIM News - Special Thema: Explainable AI. 134, p. 28-29 2 p., 13.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Learning from Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them
Graser, A., Naghibzadeh-Jalali, A., Lampert, J., Weißenfeld, A. & Janowicz, K., 2023, CEUR Workshop Proceedings 2023. Fletcher, G. & Kantere, V. (eds.). Vol. 3379. 12 p.Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with presentation › peer-review
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Lightweight deep neural networks for acoustic scene classification and an effective visualization for presenting sound scene contexts
Pham, L., Salovic, D., Naghibzadeh-Jalali, A., Schindler, A., Tran, K., Ngo, D., Nguyen, P. & Vu, C., Aug 2023, In: Applied Acoustics. 211, p. 1-18 18 p., 109489.Research output: Contribution to journal › Article › peer-review
Open Access -
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms
Pham, L., Ngo, D., Le, C., Naghibzadeh-Jalali, A. & Schindler, A., 2023, 3 p.Research output: Other contribution
Open Access -
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis
Naghibzadeh-Jalali, A., Bernhard, H., Kriglstein, S. & Rauber, A., Sept 2023, Intelligent Computing. SAI 2023: Proceedings of the 2023 Computing Conference, Volume 1. Arai, K. (ed.). p. 712-733 (Lecture Notes in Networks and Systems (LNNS); vol. 711).Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with presentation › peer-review
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Towards eXplainable AI for Mobility Data Science
Anahid Naghibzadeh-Jalali (Speaker), Anita Graser (Author) & Clemens Heistracher (Author)
12 Aug 2023Activity: Talk or presentation / Lecture › Talk or presentation
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Data Science for Sustainable Forestry
Jasmin Lampert (Speaker), Anahid Naghibzadeh-Jalali (Speaker), Refiz Duro (Author) & Andreas Holzinger (Speaker, invited)
2 May 2023Activity: Talk or presentation / Lecture › Talk or presentation
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Ethics and AI Policies - AI Risks for Digital Society
Anahid Naghibzadeh-Jalali (Speaker, invited)
31 May 2022 → 2 Jun 2022Activity: Talk or presentation / Lecture › Talk or presentation
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Explainability of ML models
Anahid Naghibzadeh-Jalali (Speaker) & Andreas Rauber (Speaker)
1 Mar 2022 → 30 Jun 2022Activity: Talk or presentation / Lecture › Lecture
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Female Leadership Development Programme - Leadership & Part-Time Project Presentation
Francika Edegger (Speaker), Anahid Naghibzadeh-Jalali (Speaker), Jasmin Lampert (Speaker) & Martina Neuländtner (Speaker)
17 Feb 2022Activity: Talk or presentation / Lecture › Talk or presentation
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