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2Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
M. Herde, L. Lührs, D. Huseljic, and B. Sick. arXiv e-prints, (2024)
4 days ago by @ies
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1The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification
D. Huseljic, M. Herde, Y. Nagel, L. Rauch, P. Strimaitis, and B. Sick. Transactions on Machine Learning Research, (2024)(accepted).
5 days ago by @ies
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2Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
D. Huseljic, P. Hahn, M. Herde, L. Rauch, and B. Sick. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), (2024)(accepted).
5 days ago by @ies
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2Similar size of slums caused by a Turing instability of migration behavior
P. Pelz, J. Friesen, and J. Hartig. Physical Review E, 99 (2): 022302 (February 2019)
7 days ago by @johnfriesen
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2Challenges in identifying simple pattern-forming mechanisms in the development of settlements using demographic data
B. Prokop, L. Gelens, P. Pelz, and J. Friesen. Physical Review E, 107 (6): 064305 (June 2023)
7 days ago by @johnfriesen
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2Do resilience metrics of water distribution systems really assess resilience? A critical review
M. Leštáková, K. Logan, I. Rehm, P. Pelz, and J. Friesen. Water Research, (January 2024)
7 days ago by @johnfriesen
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2The unseen population: Do we underestimate slum dwellers in cities of the Global South?
J. Breuer, J. Friesen, H. Taubenböck, M. Wurm, and P. Pelz. Habitat International, (June 2024)
7 days ago by @johnfriesen
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4Slums, Space, and State of Health—A Link between Settlement Morphology and Health Data
J. Friesen, V. Friesen, I. Dietrich, and P. Pelz. International Journal of Environmental Research and Public Health, 17 (6): 2022 (March 2020)
7 days ago by @johnfriesen
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5Spatial Analysis of Settlement Structures to Identify Pattern Formation Mechanisms in Inter-Urban Systems
K. Henn, J. Friesen, J. Hartig, and P. Pelz. ISPRS International Journal of Geo-Information, 9 (9): 541 (September 2020)
7 days ago by @johnfriesen
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3Towards a Link between Quantitative and Qualitative Sciences to Understand Social Systems Using the Example of Informal Settlements
J. Friesen. Entropy, 25 (2): 262 (January 2023)
7 days ago by @johnfriesen
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3Methods to assess spatio-temporal changes of slum populations
J. Breuer, and J. Friesen. Cities, (December 2023)
7 days ago by @johnfriesen
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2Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review
B. Sattler, J. Friesen, A. Tundis, and P. Pelz. Water, 15 (3): 579 (February 2023)
7 days ago by @johnfriesen
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3A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data
I. Rehm, J. Friesen, K. Pouls, C. Busch, H. Taubenböck, and P. Pelz. Water, 13 (16): 2299 (August 2021)
7 days ago by @johnfriesen
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2Size distributions of slums across the globe using different data and classification methods
J. Friesen, H. Taubenböck, M. Wurm, and P. Pelz. European Journal of Remote Sensing, 52 (sup2): 99--111 (August 2019)
7 days ago by @johnfriesen
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2Determining Factors for Slum Growth with Predictive Data Mining Methods
J. Friesen, L. Rausch, P. Pelz, and J. Fürnkranz. Urban Science, 2 (3): 81 (August 2018)
7 days ago by @johnfriesen
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2Dynamic Loading—A New Marker for Abdominal Aneurysm Growth?
J. Friesen, L. Stein, F. Adili, and P. Pelz. Medicina, 59 (2): 404 (February 2023)
7 days ago by @johnfriesen
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2Comparison of existing aneurysm models and their path forward
J. Friesen, J. Bergner, M. Khan, S. Triess, A. Zoll, P. Pelz, and F. Adili. Computer Methods and Programs in Biomedicine Update, (2021)
7 days ago by @johnfriesen
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3The similar size of slums
J. Friesen, H. Taubenböck, M. Wurm, and P. Pelz. Habitat International, (March 2018)
7 days ago by @johnfriesen
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3A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data
L. Rausch, J. Friesen, L. Altherr, M. Meck, and P. Pelz. Remote Sensing, 10 (2): 216 (February 2018)
7 days ago by @johnfriesen
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2COVID-19 and Slums: A Pandemic Highlights Gaps in Knowledge About Urban Poverty
J. Friesen, and P. Pelz. JMIR Public Health and Surveillance, 6 (3): e19578 (September 2020)
7 days ago by @johnfriesen
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2Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension

1The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification

2Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification

2Similar size of slums caused by a Turing instability of migration behavior

2Challenges in identifying simple pattern-forming mechanisms in the development of settlements using demographic data

2Do resilience metrics of water distribution systems really assess resilience? A critical review

2The unseen population: Do we underestimate slum dwellers in cities of the Global South?

4Slums, Space, and State of Health—A Link between Settlement Morphology and Health Data

5Spatial Analysis of Settlement Structures to Identify Pattern Formation Mechanisms in Inter-Urban Systems

3Towards a Link between Quantitative and Qualitative Sciences to Understand Social Systems Using the Example of Informal Settlements

3Methods to assess spatio-temporal changes of slum populations

2Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review

3A Method for Modeling Urban Water Infrastructures Combining Geo-Referenced Data

2Size distributions of slums across the globe using different data and classification methods

2Determining Factors for Slum Growth with Predictive Data Mining Methods

2Dynamic Loading—A New Marker for Abdominal Aneurysm Growth?

2Comparison of existing aneurysm models and their path forward

3The similar size of slums

3A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data

2COVID-19 and Slums: A Pandemic Highlights Gaps in Knowledge About Urban Poverty

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publications (hide)248587
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