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Daniel Rammer

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2020 – today

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2022
[j1]
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Daniel Rammer, Thilina Buddhika, Matthew Malensek, Shrideep Pallickara, Sangmi Lee Pallickara:
Enabling Fast Exploratory Analyses Over Voluminous Spatiotemporal Data Using Analytical Engines. IEEE Trans. Big Data 8(1): 213-228 (2022)
2021
[c12]
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  - conf/bdc/WarushavithanaC21
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Menuka Warushavithana, Caleb Carlson, Saptashwa Mitra, Daniel Rammer, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Distributed Orchestration of Regression Models Over Administrative Boundaries. BDCAT 2021: 80-90
[c11]
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  - conf/bigdataconf/MitraRPP21
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Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery. IEEE BigData 2021: 359-367
[c10]
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  - conf/ccgrid/KhandelwalRPP21
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Paahuni Khandelwal, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Mind the Gap: Generating Imputations for Satellite Data Collections at Myriad Spatiotemporal Scopes. CCGRID 2021: 92-102
[c9]
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  - conf/cluster/MitraRPP21
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Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
A Generative Approach to Visualizing Satellite Data. CLUSTER 2021: 815-816
2020
[c8]
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  - conf/bigdataconf/BruhwilerKRAPP20
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Kevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara:
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections. IEEE BigData 2020: 246-255
[c7]
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Daniel Rammer, Sangmi Lee Pallickara, Shrideep Pallickara:
Towards Timely, Resource-Efficient Analyses Through Spatially-Aware Constructs within Spark. UCC 2020: 46-56
[c6]
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  - conf/ucc/RammerBKAPP20
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Daniel Rammer, Kevin Bruhwiler, Paahuni Khandelwal, Samuel Armstrong, Shrideep Pallickara, Sangmi Lee Pallickara:
Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads. UCC 2020: 101-111

2010 – 2019

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2019
[c5]
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Daniel Rammer, Sangmi Lee Pallickara, Shrideep Pallickara:
ATLAS: A Distributed File System for Spatiotemporal Data. UCC 2019: 11-20
2018
[c4]
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  - conf/bigdataconf/RammerBBPP18
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Daniel Rammer, Walid Budgaga, Thilina Buddhika, Shrideep Pallickara, Sangmi Lee Pallickara:
Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets. IEEE BigData 2018: 468-477
2017
[c3]
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  - conf/iwec/LankesRM17
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Michael Lankes, Daniel Rammer, Bernhard Maurer:
Eye Contact: Gaze as a Connector Between Spectators and Players in Online Games. ICEC 2017: 310-321
[c2]
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  - conf/mum/HochleitnerSRAM17
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Wolfgang Hochleitner, David Sellitsch, Daniel Rammer, Andrea Aschauer, Elke E. Mattheiss, Georg Regal, Manfred Tscheligi:
No need to stop: exploring smartphone interaction paradigms while cycling. MUM 2017: 177-187
2015
[c1]
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  - conf/chiplay/LankesHRBMT15
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Michael Lankes, Wolfgang Hochleitner, Daniel Rammer, Marc Busch, Elke E. Mattheiss, Manfred Tscheligi:
From Classes to Mechanics: Player Type Driven Persuasive Game Development. CHI PLAY 2015: 595-600

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