Klaus Ackermann

Associate Professor, Monash University

Joined

May 2021

Names

Klaus Ackermann (Preferred)

Emails

****@monash.edu (Confirmed)

Personal Links

Homepage

DBLP

ORCID

Career & Education History

Associate Professor

Monash University (monash.edu)

2025 – Present

Assistant Professor

Monash University (monash.edu)

2018 – 2024

Postdoc

University of Chicago (uchicago.edu)

2016 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India
Alexey Chernikov, Klaus Ackermann, Caitlin Brown, Denni Tommasi
- AAAI 2025
- Readers: Everyone
Morphology Classification of Live Unstained Human Sperm Using Ensemble Deep Learning
Sahar Shahali, Mubasshir Murshed, Lindsay Spencer, Ozlem Tunc, Ludmila Pisarevski, Jason Conceicao, Robert McLachlan, Moira K. O'Bryan, Klaus Ackermann, Deirdre Zander-Fox, Adrian Neild, Reza Nosrati
- Adv. Intell. Syst. 2024
- Readers: Everyone
Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models
Priscila Grecov, Ankitha Nandipura Prasanna, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman, Christoph Bergmeir
- IEEE Trans. Neural Networks Learn. Syst. 2024
- Readers: Everyone
Automated Assessment of Residual Plots with Computer Vision Models
Weihao Li, Dianne Cook, Emi Tanaka, Susan VanderPlas, Klaus Ackermann
- CoRR 2024
- Readers: Everyone
Forecast evaluation for data scientists: common pitfalls and best practices
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
- Data Min. Knowl. Discov. 2023
- Readers: Everyone
Ensembled Deep Learning for the Classification of Human Sperm Head Morphology
Lindsay Spencer, Jared Fernando, Farzan Akbaridoust, Klaus Ackermann, Reza Nosrati
- Adv. Intell. Syst. 2022
- Readers: Everyone
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
- CoRR 2022
- Readers: Everyone
Causal Inference Using Global Forecasting Models for Counterfactual Prediction
Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman
- PAKDD (2) 2021
- Readers: Everyone
Object Recognition for Economic Development from Daytime Satellite Imagery
Klaus Ackermann, Alexey Chernikov, Nandini Anantharama, Miethy Zaman, Paul A. Raschky
- CoRR 2020
- Readers: Everyone
Estimating Sleep & Work Hours from Alternative Data by Segmented Functional Classification Analysis (SFCA)
Klaus Ackermann, Simon D. Angus, Paul A. Raschky
- CoRR 2020
- Readers: Everyone

View all 14 publications

Co-Authors

View all 48 co-authors