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A theoretical analysis of the learning dynamics under class imbalance
Francazi, E., Baity-Jesi, M., & Lucchi, A. (2023). A theoretical analysis of the learning dynamics under class imbalance. In A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato, & J. Scarlett (Eds.), Proceedings of machine learning research: Vol. 202. Proceedings of the 40th international conference on machine learning (pp. 10285-10322). PMLR.
Why do energy projects fail? Understanding how controversy impacts construction projects
LaPatin, M., Spearing, L. A., Tiedmann, H. R., Kavvada, O., Giorda, M., Daniélou, J., … Faust, K. M. (2023). Why do energy projects fail? Understanding how controversy impacts construction projects. In S. Walbridge, M. Nik-Bakht, K. Tsun Wai Ng, M. Shome, M. Sharia Alam, A. el Damatty, & G. Lovegrove (Eds.), Lecture notes in civil engineering: Vol. 251. Proceedings of the Canadian Society of Civil Engineering annual conference 2021 (pp. 487-498). https://doi.org/10.1007/978-981-19-1029-6_37
Modeling node exposure for community detection in networks
Othman, S., Schulz, J., Baity-Jesi, M., & De Bacco, C. (2023). Modeling node exposure for community detection in networks. In H. Cherifi, R. N. Mantegna, L. M. Rocha, C. Cherifi, & S. Micciche (Eds.), Studies in computational intelligence: Vol. 1078. Complex networks and their applications XI. Proceedings of the eleventh international conference on complex networks and their applications: complex networks 2022 - volume 2. https://doi.org/10.1007/978-3-031-21131-7_18
Intelligent multispectral vision system for non-contact water quality monitoring for wastewater
Preitner, K., Blanc, S., Honzatko, D., Kündig, C., Pad, P., Saeedi, S., … Dunbar, L. A. (2023). Intelligent multispectral vision system for non-contact water quality monitoring for wastewater. In B. Jalali & Kichi Kitayama (Eds.), Proceedings of SPIE: Vol. 12438. AI and optical data sciences IV (p. 124380V (13 pp.). https://doi.org/10.1117/12.2649921
Risiken und Effekte von Mikroschadstoffen auf aquatische Organismen
Werner, I. (2023). Risiken und Effekte von Mikroschadstoffen auf aquatische Organismen. In Bayerische Akademie der Wissenschaften (Ed.), Rundgespräche Forum Ökologie: Vol. 49. Gefährdung und Schutz von Oberflächengewässern (pp. 43-56). Verlag Dr. Friedrich Pfeil.
"RICHIE" - the virtual sewer worker for improved monitoring data quality, network maintenance and operation
Disch, A., Brupbacher, A., Lükewille, F., Manz, C., Kramer, S., Dürrenmatt, D., & Rieckermann, J. (2022). "RICHIE" - the virtual sewer worker for improved monitoring data quality, network maintenance and operation. Presented at the 12th urban drainage modeling conference.
A decision support system to predict acute fish toxicity
Madsen, A. L., Moe, S. J., Braunbeck, T., Connors, K. A., Embry, M., Schirmer, K., … Lillicrap, A. (2022). A decision support system to predict acute fish toxicity. In A. Salmerón & R. Rumí (Eds.), Proceedings of PGM 2022: Vol. 186. 11th international conference on probabilistic graphical models, PGM 2022 (pp. 253-264). ML research press.
Energy self-sufficient systems for monitoring sewer networks
Mathis, S., Gruber, J. M., Ebi, C., Bloem, S., Rieckermann, J., & Blumensaat, F. (2022). Energy self-sufficient systems for monitoring sewer networks. In ITG-Fachberichte: Vol. 303. Sensoren und Messsysteme. Beiträge der 21. ITG/GMA-Fachtagung (pp. 523-530). VDE.
Entwicklung der biologischen Abwasserreinigung: Belebtschlamm vs Biofilmsysteme
Morgenroth, E., & Derlon, N. (2022). Entwicklung der biologischen Abwasserreinigung: Belebtschlamm vs Biofilmsysteme. In T. Wintgens & J. Pinnekamp (Eds.), Gewässerschutz, Wasser, Abwasser. 55. Essener Tagung für Wasserwirtschaft. Wasserwirtschaft im Klimawandel (p. 31 (12 pp.). Gesellschaft zur Förderung des Instituts für Siedlungswasserwirtschaft an der RWTH Aachen.
Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting
Rizzo, R., Dziadosz, M., Kyathanahally, S. P., Reyes, M., & Kreis, R. (2022). Reliability of quantification estimates in MR spectroscopy: CNNs vs traditional model fitting. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Lecture notes in computer science: Vol. 13438. Medical image computing and computer assisted intervention - MICCAI 2022. 25th international conference, Singapore, September 18-22, 2022, proceedings, part VIII (pp. 715-724). https://doi.org/10.1007/978-3-031-16452-1_68
Does distributed monitoring improve the calibration of urban drainage models?
Wani, O., Maurer, M., Rieckermann, J., & Blumensaat, F. (2022). Does distributed monitoring improve the calibration of urban drainage models? (p. (3 pp.). Presented at the 12th urban drainage modeling conference.
Hinweise zur Planung und Auslegung von diskontinuierlich gespülten GAK-Filtern zur Elimination organischer Spurenstoffe aus kommunalem Abwasser unter besonderer Berücksichtigung der Anforderungen und Erfahrungen in der Schweiz
Brander, A., Böhler, M., McArdell, C., & Joss, A. (2021). Hinweise zur Planung und Auslegung von diskontinuierlich gespülten GAK-Filtern zur Elimination organischer Spurenstoffe aus kommunalem Abwasser unter besonderer Berücksichtigung der Anforderungen und Erfahrungen in der Schweiz (p. (6 pp.). Presented at the 14. Aachener Tagung Wassertechnologie. Verfahren der Wasseraufbereitung und Abwasserbehandlung. .
Erneuerbare Aktivkohlen für die Spurenstoffelimination aus kommunalem Abwasser - Performance und Potenzial biogener Ausgangsstoffe
Böhler, M. A., Hagemann, N., Bucheli, T., Brander, A., & McArdell, C. S. (2021). Erneuerbare Aktivkohlen für die Spurenstoffelimination aus kommunalem Abwasser - Performance und Potenzial biogener Ausgangsstoffe (p. (8 pp.). Presented at the 14. Aachener Tagung Wassertechnologie. Verfahren der Wasseraufbereitung und Abwasserbehandlung. .
PAK-Dosierung in die biologische Stufe mit S::Select<sup>®</sup>-Verfahren zur erweiterten Abwasser-behandlung auf der ARA Glarnerland
Böhler, M. A., McArdell, C. S., Oltramare, C., Hernandez, A., Büeler, A., & Siegrist, H. (2021). PAK-Dosierung in die biologische Stufe mit S::Select®-Verfahren zur erweiterten Abwasser-behandlung auf der ARA Glarnerland. In 14. Aachener Tagung Wassertechnologie. Verfahren der Wasseraufbereitung und Abwasserbehandlung (p. (10 pp.). RWTH Aachen.
Experiences porting a high order cartesian finite difference solver to gpus using openacc
Figueroa, A., & Löhner, R. (2021). Experiences porting a high order cartesian finite difference solver to gpus using openacc. In AIAA Science and Technology Forum and Exposition (pp. 1-14). https://doi.org/10.2514/6.2021-1208
Drinking water access, quality and handling in the Hawassa Basin, Ethiopia
Patrissi, D., Meierhofer, R., Ambelu, A., Molnar, P., & Valsangiacomo, C. (2021). Drinking water access, quality and handling in the Hawassa Basin, Ethiopia. In Equitable and sustainable WASH services: future challenges in a rapidly changing world. Proceedings of the 42nd WEDC international conference (p. 3154 (2 pp.).
Optical closure of remote sensing reflectance using automated hyperspectral profiler data
Rahaghi, A. I., Minaudo, C., Damm, A., & Odermatt, D. (2021). Optical closure of remote sensing reflectance using automated hyperspectral profiler data. In 2021 IEEE international geoscience and remote sensing symposium (IGARSS 2021) (pp. 6829-6832). https://doi.org/10.1109/IGARSS47720.2021.9554464
Sludge snap: a machine learning approach to fecal sludge characterization in the field
Ward, B. J., Allen, J., Escamilla, A., Sivick, D., Sun, B., Yu, K., … Strande, L. (2021). Sludge snap: a machine learning approach to fecal sludge characterization in the field. In Equitable and sustainable WASH services: future challenges in a rapidly changing world. Proceedings of the 42nd WEDC international conference (p. 3307 (2 pp.).
Humanitarian-development nexus regarding water and wastewater service provision: learning from lebanon's protracted population displacement
Bakchan, A., Hacker, M., Faust, K. M., & Kaminsky, J. (2020). Humanitarian-development nexus regarding water and wastewater service provision: learning from lebanon's protracted population displacement. In M. El Asmar, P. Tang, & D. Grau (Eds.), Vol. 1. Construction research congress (pp. 702-711). https://doi.org/10.1061/9780784482858.076
Can machines learn what we know? And should they?
Brupbacher, A., Menniti, A., & Villez, K. (2020). Can machines learn what we know? And should they? In 93rd Water environment federation technical exhibition and conference 2020 (WEFTEC 2020) (pp. 310-320). Water Environment Federation.
 

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