Anahid N. Jalali

21 papers A 1C 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MobilityDL: a review of deep learning from trajectory data. GeoInformatica Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
2024	J	`jnl`	MobilityDL: A Review of Deep Learning From Trajectory Data. CoRR Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
2023	J	`jnl`	A Pathway to Combat Climate Change with Human-Centred XAI. ERCIM News Anahid N. Jalali, Alexander Schindler, Anita Zolles
2023	J	`jnl`	Decoding the Unknown: Unveiling Industrial Time Series Classification with Counterfactuals. ERCIM News Anahid N. Jalali, Andreas Rauber, Jasmin Lampert
2023	—	`conf`	Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them. EDBT/ICDT Workshops Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz
2023	—	`conf`	Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms. IS2 Lam Pham, Tin Nguyen, Phat Lam, Dat Ngo, Anahid N. Jalali, Alexander Schindler
2023	J	`jnl`	Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. CoRR Lam Pham, Dat Ngo, Cam Le, Anahid N. Jalali, Alexander Schindler
2023	J	`jnl`	Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis. CoRR Anahid N. Jalali, Bernhard Haslhofer, Simone Kriglstein, Andreas Rauber
2023	J	`jnl`	Towards eXplainable AI for Mobility Data Science. CoRR Anahid N. Jalali, Anita Graser, Clemens Heistracher
2022	J	`jnl`	Ethical AI: Why and How? ERCIM News Peter Biegelbauer, Anahid N. Jalali, Sven Schlarb, Michela Vignoli
2022	J	`jnl`	Low-complexity deep learning frameworks for acoustic scene classification. CoRR Lam Pham, Dat Ngo, Anahid N. Jalali, Alexander Schindler
2022	J	`jnl`	Machine Learning Methods for Health-Index Prediction in Coating Chambers. CoRR Clemens Heistracher, Anahid N. Jalali, Jürgen Schneeweiss, Klaudia Kovacs, Catherine Laflamme, Bernhard Haslhofer
2022	J	`jnl`	Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. CoRR Lam Pham, Dusan Salovic, Anahid N. Jalali, Alexander Schindler, Khoa Tran, Hai Canh Vu, Phu X. Nguyen
2021	J	`jnl`	A Low-Compexity Deep Learning Framework For Acoustic Scene Classification. CoRR Lam Pham, Hieu Tang, Anahid N. Jalali, Alexander Schindler, Ross King
2021	J	`jnl`	Minimal-Configuration Anomaly Detection for IIoT Sensors. CoRR Clemens Heistracher, Anahid N. Jalali, Axel Suendermann, Sebastian Meixner, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz
2021	C	`conf`	Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data. IECON Clemens Heistracher, Anahid N. Jalali, Indu Strobl, Axel Suendermann, Sebastian Meixner, Stephanie Holly, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz
2020	J	`jnl`	Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios. CoRR Alexander Schindler, Andrew Lindley, Anahid N. Jalali, Martin Boyer, Sergiu Gordea, Ross King
2020	A	`conf`	Multi-modal video forensic platform for investigating post-terrorist attack scenarios. MMSys Alexander Schindler, Andrew Lindley, Anahid N. Jalali, Martin Boyer, Sergiu Gordea, Ross King
2019	—	`conf`	Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. ICPHM Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer
2019	J	`jnl`	Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. CoRR Anahid N. Jalali, Clemens Heistracher, Alexander Schindler, Bernhard Haslhofer, Tanja Nemeth, Robert Glawar, Wilfried Sihn, Peter De Boer
2019	J	`jnl`	Understandable Deep Neural Networks for Predictive Maintenance in the Manufacturing Industry. ERCIM News Anahid N. Jalali, Alexander Schindler, Bernhard Haslhofer