default search action
Anahid N. Jalali
Person information
- affiliation: Austrian Institute of Technology, Vienna, Austria
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i15]Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
MobilityDL: A Review of Deep Learning From Trajectory Data. CoRR abs/2402.00732 (2024) - 2023
- [c6]Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them. EDBT/ICDT Workshops 2023 - [c5]Lam Pham, Tin Nguyen, Phat Lam, Dat Ngo, Anahid N. Jalali, Alexander Schindler:
Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms. IS2 2023: 1-8 - [i14]Lam Pham
, Dat Ngo, Cam Le, Anahid N. Jalali, Alexander Schindler:
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. CoRR abs/2305.09463 (2023) - [i13]Anahid N. Jalali, Anita Graser, Clemens Heistracher:
Towards eXplainable AI for Mobility Data Science. CoRR abs/2307.08461 (2023) - [i12]Anahid N. Jalali, Bernhard Haslhofer, Simone Kriglstein, Andreas Rauber:
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis. CoRR abs/2309.11987 (2023) - [i11]Anahid N. Jalali, Andreas Rauber, Jasmin Lampert:
Decoding the Unknown: Unveiling Industrial Time Series Classification with Counterfactuals. ERCIM News 2023(134) (2023) - [i10]Anahid N. Jalali, Alexander Schindler, Anita Zolles:
A Pathway to Combat Climate Change with Human-Centred XAI. ERCIM News 2023(134) (2023) - 2022
- [i9]Clemens Heistracher, Anahid N. Jalali, Jürgen Schneeweiss, Klaudia Kovacs, Catherine Laflamme, Bernhard Haslhofer:
Machine Learning Methods for Health-Index Prediction in Coating Chambers. CoRR abs/2205.15145 (2022) - [i8]Lam Pham, Dat Ngo, Anahid N. Jalali, Alexander Schindler:
Low-complexity deep learning frameworks for acoustic scene classification. CoRR abs/2206.06057 (2022) - [i7]Lam Pham, Dusan Salovic, Anahid N. Jalali, Alexander Schindler, Khoa Tran, Hai Canh Vu, Phu X. Nguyen:
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. CoRR abs/2210.08610 (2022) - [i6]Peter Biegelbauer, Anahid N. Jalali, Sven Schlarb
Ethical AI: Why and How? ERCIM News 2022(131) (2022) - 2021
- [c4]Clemens Heistracher, Anahid N. Jalali, Indu Strobl, Axel Suendermann, Sebastian Meixner, Stephanie Holly, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz:
Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data. IECON 2021: 1-6 - [i5]Lam Pham, Hieu Tang, Anahid N. Jalali, Alexander Schindler, Ross King:
A Low-Compexity Deep Learning Framework For Acoustic Scene Classification. CoRR abs/2106.06838 (2021) - [i4]Clemens Heistracher, Anahid N. Jalali, Axel Suendermann, Sebastian Meixner, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz:
Minimal-Configuration Anomaly Detection for IIoT Sensors. CoRR abs/2110.04049 (2021) - 2020
- [c3]Carmina Coronel, Christoph Wiesmeyr, Heinrich Garn, Bernhard Kohn, Anahid Naghibzadeh-Jalali, Alexander Schindler, Markus Wimmer, Magdalena Mandl, Martin Glos, Thomas Penzel, Gerhard Kloesch, Andrijana Stefanic-Kejik, Marion Böck, Eugenijus Kaniusas, Stefan Seidel:
Comparison of PSG signals and Respiratory Movement Signal via 3D Camera in Detecting Sleep Respiratory Events by LSTM Models. APSIPA 2020: 919-923 - [c2]Alexander Schindler, Andrew Lindley, Anahid N. Jalali, Martin Boyer
Multi-modal video forensic platform for investigating post-terrorist attack scenarios. MMSys 2020: 365-368 - [i3]Alexander Schindler, Andrew Lindley, Anahid N. Jalali, Martin Boyer, Sergiu Gordea, Ross King:
Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios. CoRR abs/2004.01023 (2020)
2010 – 2019
- 2019
- [c1]Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer:
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. ICPHM 2019: 1-8 - [i2]Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer:
Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. CoRR abs/1904.07686 (2019) - [i1]Anahid N. Jalali, Alexander Schindler, Bernhard Haslhofer:
Understandable Deep Neural Networks for Predictive Maintenance in the Manufacturing Industry. ERCIM News 2019(116) (2019)
Coauthor Index
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 2024-11-20 21:00 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: