Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning. - Anahid N. Jalali; Clemens Heistracher; Alexander Schindler; Bernhard Haslhofer; Tanja Nemeth; Robert Glawar; Wilfried Sihn; Peter De Boer (ICPHM, 2019)

Understandable Deep Neural Networks for Predictive Maintenance in the Manufacturing Industry. - Anahid N. Jalali; Alexander Schindler; Bernhard Haslhofer (ERCIM News, 2019)

Comparison of PSG signals and Respiratory Movement Signal via 3D Camera in Detecting Sleep Respiratory Events by LSTM Models. - 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; et al. (APSIPA, 2020)

Multi-modal video forensic platform for investigating post-terrorist attack scenarios. - Alexander Schindler; Andrew Lindley; Anahid N. Jalali; Martin Boyer; Sergiu Gordea; Ross King (MMSys, 2020)

Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data. - Clemens Heistracher; Anahid N. Jalali; Indu Strobl; Axel Suendermann; Sebastian Meixner; Stephanie Holly; Daniel Schall 001; Bernhard Haslhofer; Jana Kemnitz (IECON, 2021)

A Low-Compexity Deep Learning Framework For Acoustic Scene Classification. - Lam Pham; Hieu Tang; Anahid N. Jalali; Alexander Schindler; Ross King (CoRR, 2021)

Minimal-Configuration Anomaly Detection for IIoT Sensors. - Clemens Heistracher; Anahid N. Jalali; Axel Suendermann; Sebastian Meixner; Daniel Schall 001; Bernhard Haslhofer; Jana Kemnitz (CoRR, 2021)

Machine Learning Methods for Health-Index Prediction in Coating Chambers. - Clemens Heistracher; Anahid N. Jalali; Jürgen Schneeweiss; Klaudia Kovacs; Catherine Laflamme; Bernhard Haslhofer (CoRR, 2022)

Low-complexity deep learning frameworks for acoustic scene classification. - Lam Pham; Dat Ngo; Anahid N. Jalali; Alexander Schindler (CoRR, 2022)

Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. - Lam Pham; Dusan Salovic; Anahid N. Jalali; Alexander Schindler; Khoa Tran; Hai Canh Vu; Phu X. Nguyen (CoRR, 2022)

Ethical AI: Why and How? - Peter Biegelbauer; Anahid N. Jalali; Sven Schlarb; Michela Vignoli (ERCIM News, 2022)

Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them. - Anita Graser; Anahid N. Jalali; Jasmin Lampert; Axel Weißenfeld; Krzysztof Janowicz (EDBT/ICDT Workshops, 2023)

Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms. - Lam Pham; Tin Nguyen 007; Phat Lam; Dat Ngo; Anahid N. Jalali; Alexander Schindler (IS2, 2023)

Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. - Lam Pham; Dat Ngo; Cam Le; Anahid N. Jalali; Alexander Schindler (CoRR, 2023)

Towards eXplainable AI for Mobility Data Science. - Anahid N. Jalali; Anita Graser; Clemens Heistracher (CoRR, 2023)

Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis. - Anahid N. Jalali; Bernhard Haslhofer; Simone Kriglstein; Andreas Rauber (CoRR, 2023)

Decoding the Unknown: Unveiling Industrial Time Series Classification with Counterfactuals. - Anahid N. Jalali; Andreas Rauber; Jasmin Lampert (ERCIM News, 2023)

A Pathway to Combat Climate Change with Human-Centred XAI. - Anahid N. Jalali; Alexander Schindler; Anita Zolles (ERCIM News, 2023)

MobilityDL: a review of deep learning from trajectory data. - Anita Graser; Anahid N. Jalali; Jasmin Lampert; Axel Weißenfeld; Krzysztof Janowicz (GeoInformatica, 2025)