Anahid Naghibzadeh-Jalali

Search results

• 2024

  MobilityDL: A Review of Deep Learning From Trajectory Data

  Graser, A., Naghibzadeh-Jalali, A., Lampert, J., Weißenfeld, A. & Janowicz, K., 28 May 2024, In: GeoInformatica. 28, 33 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Trajectory Data 100%
  • Deep Learning 100%
  • Use Case 25%
  • Deep Learning Model 25%
  • Tracking Data 25%
• 2023

  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

  • Series Prediction 100%
  • Use Case 50%
  • Industrial Application 50%
  • Decision Trees 50%
  • Data Availability 50%

• 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

  • Deep Neural Network 100%
  • visualization method 100%
  • Model Complexity 66%
  • Classification Models 66%
  • Model Accuracy 33%
• 2022

  Ethical AI: Why and How

  Biegelbauer, P., Naghibzadeh-Jalali, A., Schlarb, S. & Vignoli, M., 2022, In: ERCIM News. 131, 131, p. 8-9 2 p.

  Research output: Contribution to journal › Article › peer-review
• 2019

  Understandable Deep Neural networks for Predictive Maintenance in the Manufactoring Industry

  Naghibzadeh-Jalali, A., Haslhofer, B. & Schindler, A., 2019, In: ERCIM News 116. 116, 1 p.

  Research output: Contribution to journal › Article