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ORCIDBeril Kallfelz
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2020 – today
- 2023
[j12]Jiaojiao Tian
, Qin Yan, Mohammad Awrangjeb, Beril Kallfelz, Nusret Demir:
Editorial for Special Issue: "Remote Sensing Based Building Extraction II". Remote. Sens. 15(4): 998 (2023)- 2022
- [i15]Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, H. Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, Francesco Fuso Nerini, Ricardo Vinuesa:
The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR abs/2202.07424 (2022) - [i14]Mehmet Cagri Aksoy, Beril Sirmaçek, Cem Ünsalan:
Land Classification in Satellite Images by Injecting Traditional Features to CNN Models. CoRR abs/2207.10368 (2022) - 2021
- [j11]Girindra Wardhana, Hamid Naghibi, Beril Sirmaçek, Momen Abayazid:
Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5D models. Int. J. Comput. Assist. Radiol. Surg. 16(1): 41-51 (2021) - [j10]Ricardo Vinuesa, Beril Sirmaçek:
Interpretable deep-learning models to help achieve the Sustainable Development Goals. Nat. Mach. Intell. 3(11): 926 (2021) - [j9]Simon Arvidsson, Marcus Gullstrand, Beril Sirmaçek, Maria Riveiro:
Sensor Fusion and Convolutional Neural Networks for Indoor Occupancy Prediction Using Multiple Low-Cost Low-Resolution Heat Sensor Data. Sensors 21(4): 1036 (2021) - [c10]Jochem Postmes, Nicolò Botteghi, Beril Sirmaçek, Andreas Kamilaris:
A System for Efficient Path Planning and Target Assignment for Robotic Swarms in Agriculture. IOT 2021: 158-164 - [c9]Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. IROS 2021: 190-197 - [c8]Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli:
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. RiTA 2021: 259-271 - [i13]Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. CoRR abs/2107.01667 (2021) - [i12]Nicolò Botteghi, Mannes Poel, Beril Sirmaçek, Christoph Brune:
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics. CoRR abs/2107.01677 (2021) - [i11]Beril Sirmaçek:
Remote sensing, AI and innovative prediction methods for adapting cities to the impacts of the climate change. CoRR abs/2107.02693 (2021) - [i10]Nicolò Botteghi, Luuk Grefte, Mannes Poel, Beril Sirmaçek, Christoph Brune, Edwin Dertien, Stefano Stramigioli:
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. CoRR abs/2107.03685 (2021) - [i9]Frieda van den Noort, Beril Sirmaçek, Cornelis H. Slump:
Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound. CoRR abs/2107.13833 (2021) - [i8]Ricardo Vinuesa, Beril Sirmaçek:
Interpretable deep-learning models to help achieve the Sustainable Development Goals. CoRR abs/2108.10744 (2021) - [i7]Pablo Torres, Beril Sirmaçek, Sergio Hoyas, Ricardo Vinuesa:
Aim in Climate Change and City Pollution. CoRR abs/2112.15115 (2021) - 2020
- [j8]Beril Sirmaçek, Maria Riveiro:
Occupancy Prediction Using Low-Cost and Low-Resolution Heat Sensors for Smart Offices. Sensors 20(19): 5497 (2020) - [c7]Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Reward-shaped Priors. ICPR 2020: 3736-3743 - [i6]Nicolò Botteghi, Beril Sirmaçek, Khaled A. A. Mustafa, Mannes Poel, Stefano Stramigioli:
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach. CoRR abs/2002.04109 (2020) - [i5]Nicolò Botteghi, Ruben Obbink, Daan Geijs, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Reward-shaped Priors. CoRR abs/2007.16044 (2020)
2010 – 2019
- 2019
- [i4]Beril Sirmaçek, Max Kivits:
Semantic Segmentation of Skin Lesions using a Small Data Set. CoRR abs/1910.10534 (2019) - [i3]Beril Sirmaçek, Nicolò Botteghi, Santiago Sanchez-Escalonilla Plaza:
Sequential image processing methods for improving semantic video segmentation algorithms. CoRR abs/1910.13348 (2019) - [i2]Gerrit Brugman, Beril Sirmaçek:
3D tissue reconstruction with Kinect to evaluate neck lymphedema. CoRR abs/1911.00678 (2019) - [i1]Sheona M. M. D. P. Sequeira, Beril Sirmaçek:
A low-cost real-time 3D imaging system for contactless asthma observation. CoRR abs/1911.00879 (2019) - 2015
- [j7]Beril Sirmaçek, Roderik Lindenbergh:
Active Shapes for Automatic 3D Modeling of Buildings. J. Imaging 1(1): 156-179 (2015) - 2012
- [j6]Beril Sirmaçek, Hannes Taubenböck, Peter Reinartz, Manfred Ehlers:
Performance Evaluation for 3-D City Model Generation of Six Different DSMs From Air- and Spaceborne Sensors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(1): 59-70 (2012) - [j5]Cem Ünsalan, Beril Sirmaçek:
Road Network Detection Using Probabilistic and Graph Theoretical Methods. IEEE Trans. Geosci. Remote. Sens. 50(11): 4441-4453 (2012) - [c6]Beril Sirmaçek, Jeroen Lichtenauer, Cem Ünsalan, Peter Reinartz:
Performance assessment of automatic crowd detection techniques on airborne images. IGARSS 2012: 2198-2201 - 2011
- [j4]Beril Sirmaçek, Cem Ünsalan:
A Probabilistic Framework to Detect Buildings in Aerial and Satellite Images. IEEE Trans. Geosci. Remote. Sens. 49(1-1): 211-221 (2011) - [c5]Matthias Butenuth, Florian Burkert, Florian Schmidt, Stefan Hinz, Dirk Hartmann, Angelika Kneidl, André Borrmann, Beril Sirmaçek:
Integrating pedestrian simulation, tracking and event detection for crowd analysis. ICCV Workshops 2011: 150-157 - [c4]Beril Sirmaçek, Peter Reinartz:
Automatic crowd density and motion analysis in airborne image sequences based on a probabilistic framework. ICCV Workshops 2011: 898-905 - [c3]Beril Sirmaçek, Ludwig Hoegner, Uwe Stilla:
Detection of windows and doors from thermal images by grouping geometrical features. JURSE 2011: 133-136 - [c2]Beril Sirmaçek:
Graph theory and mean shift segmentation based classification of building facades. JURSE 2011: 409-412 - 2010
- [j3]Beril Sirmaçek, Cem Ünsalan:
Urban Area Detection Using Local Feature Points and Spatial Voting. IEEE Geosci. Remote. Sens. Lett. 7(1): 146-150 (2010) - [j2]Beril Sirmaçek, Cem Ünsalan:
Using local features to measure land development in urban regions. Pattern Recognit. Lett. 31(10): 1155-1159 (2010) - [c1]Beril Sirmaçek, Cem Ünsalan:
Road Network Extraction Using Edge Detection and Spatial Voting. ICPR 2010: 3113-3116
2000 – 2009
- 2009
- [j1]Beril Sirmaçek, Cem Ünsalan:
Urban-Area and Building Detection Using SIFT Keypoints and Graph Theory. IEEE Trans. Geosci. Remote. Sens. 47(4): 1156-1167 (2009)
Coauthor Index
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