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ORCIDJasmin Lampert
Person information
- affiliation: Austrian Institute of Technology, Vienna, Austria
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Journal Articles
- 2025
[j2]Anita Graser
, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
MobilityDL: a review of deep learning from trajectory data. GeoInformatica 29(1): 115-147 (2025)- 2016
- [j1]Carlos Granell, Denis Havlik, Sven Schade, Zoheir A. Sabeur, Conor Delaney, Jasmin Pielorz, Thomas Usländer, Paolo Mazzetti, Katharina Schleidt, Mike Kobernus, Fuada Havlik, Nils Rune Bodsberg, Arne J. Berre, José Lorenzo:
Future Internet technologies for environmental applications. Environ. Model. Softw. 78: 1-15 (2016)
Conference and Workshop Papers
- 2024
- [c15]Cam Le, Lam Pham, Jasmin Lampert, Matthias Schlögl, Alexander Schindler:
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Networks. IGARSS 2024: 9582-9586 - 2023
- [c14]Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them. EDBT/ICDT Workshops 2023 - [c13]Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin:
A Light-Weight Deep Learning Model for Remote Sensing Image Classification. ISPA 2023: 1-6 - 2022
- [c12]Daria Liakhovets, Mina Schütz, Jaqueline Böck, Medina Andresel, Armin Kirchknopf, Andreas Babic, Djordje Slijepcevic, Jasmin Lampert, Alexander Schindler, Matthias Zeppelzauer:
Transfer Learning for Automatic Sexism Detection with Multilingual Transformer Models - AIT_FHSTP@EXIST2022. IberLEF@SEPLN 2022 - 2021
- [c11]Jasmin Lampert, Christoph H. Lampert:
Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis. IEEE BigData 2021: 5185-5192 - 2017
- [c10]Jasmin Pielorz, Matthias Prandtstetter, Markus Straub, Christoph H. Lampert:
Optimal geospatial volunteer allocation needs realistic distances. IEEE BigData 2017: 3760-3763 - 2016
- [c9]Michael Middelhoff, Adam Widera, Roelof P. van den Berg, Bernd Hellingrath, Daniel Auferbauer, Denis Havlik, Jasmin Pielorz:
Crowdsourcing and crowdtasking in crisis management: Lessons learned from a field experiment simulating a flooding in the city of the Hague. ICT-DM 2016: 1-8 - [c8]Michael Jacoby, Aleksandar Antonic, Karl Kreiner, Roman Lapacz, Jasmin Pielorz:
Semantic Interoperability as Key to IoT Platform Federation. InterOSS@IoT 2016: 3-19 - [c7]Daniel Auferbauer, Roman Ganhör, Hilda Tellioglu, Jasmin Pielorz:
Crowdtasking: Field Study on a Crowdsourcing Alternative. ISCRAM 2016 - [c6]Denis Havlik, Jasmin Pielorz, Adam Widera:
Interaction with citizens experiments: from context-aware alerting to crowdtasking. ISCRAM 2016 - 2015
- [c5]Jasmin Pielorz, Christoph H. Lampert:
Optimal geospatial allocation of volunteers for crisis management. ICT-DM 2015: 152-158 - [c4]Gerald Schimak, Denis Havlik, Jasmin Pielorz:
Crowdsourcing in Crisis and Disaster Management - Challenges and Considerations. ISESS 2015: 56-70 - 2013
- [c3]Denis Havlik, Javier Soriano, Carlos Granell, Stuart E. Middleton, Hylke van der Schaaf, Arne J. Berre, Jasmin Pielorz:
Future Internet enablers for VGI applications. EnviroInfo 2013: 622-630 - [c2]Hylke van der Schaaf, Mike Kobernus, Markus Falgenhauer, Jasmin Pielorz, Kym Watson:
Data Fusion in the Environmental Domain. ISESS 2013: 62-70 - 2012
- [c1]Michael Kobernus, Denis Havlik, Hylke van der Schaaf, Jasmin Pielorz, Markus Falgenhauer:
A Quest for Affordable Personalized Atmospheric Exposure Estimates. EnviroInfo 2012: 221-230
Informal and Other Publications
- 2024
- [i7]Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
MobilityDL: A Review of Deep Learning From Trajectory Data. CoRR abs/2402.00732 (2024) - 2023
- [i6]Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin:
A Light-weight Deep Learning Model for Remote Sensing Image Classification. CoRR abs/2302.13028 (2023) - [i5]Cam Le, Lam Pham, Jasmin Lampert, Matthias Schlögl, Alexander Schindler:
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network. CoRR abs/2312.16717 (2023) - [i4]Anahid N. Jalali, Andreas Rauber, Jasmin Lampert:
Decoding the Unknown: Unveiling Industrial Time Series Classification with Counterfactuals. ERCIM News 2023(134) (2023) - [i3]Andrea Siposova, Rudolf Mayer, Matthias Schlögl, Jasmin Lampert:
Supporting Landslide Disaster Risk Reduction Using Data-driven Methods. ERCIM News 2023(135) (2023) - 2022
- [i2]Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler:
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. CoRR abs/2206.13392 (2022) - 2021
- [i1]Lam Pham, Alexander Schindler, Mina Schütz, Jasmin Lampert, Sven Schlarb, Ross King:
Deep Learning Frameworks Applied For Audio-Visual Scene Classification. CoRR abs/2106.06840 (2021)
Coauthor Index
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