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Antonios Karatzoglou, PhD
Antonios Karatzoglou, PhD
A.I. Applied Scientist at Microsoft, Maps & Geospatial Services
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
A Seq2Seq learning approach for modeling semantic trajectories and predicting the next location
A Karatzoglou, A Jablonski, M Beigl
Proceedings of the 26th acm sigspatial international conference on advances …, 2018
382018
A convolutional neural network approach for modeling semantic trajectories and predicting future locations
A Karatzoglou, N Schnell, M Beigl
International Conference on Artificial Neural Networks, 61-72, 2018
272018
Matrix factorization on semantic trajectories for predicting future semantic locations
A Karatzoglou, SC Lamp, M Beigl
2017 IEEE 13th international conference on wireless and mobile computing …, 2017
162017
Semantic-enhanced multi-dimensional Markov chains on semantic trajectories for predicting future locations
A Karatzoglou, D Köhler, M Beigl
Sensors 18 (10), 3582, 2018
132018
Applying artificial neural networks on two-layer semantic trajectories for predicting the next semantic location
A Karatzoglou, H Sentürk, A Jablonski, M Beigl
International Conference on Artificial Neural Networks, 233-241, 2017
132017
Using a Knowledge Graph of Scenes to Enable Search of Autonomous Driving Data.
C Henson, S Schmid, AT Tran, A Karatzoglou, MC Suárez-Figueroa, ...
ISWC (Satellites), 313-314, 2019
122019
Purpose-of-visit-driven semantic similarity analysis on semantic trajectories for enhancing the future location prediction
A Karatzoglou, D Koehler, M Beigl
2018 IEEE international conference on pervasive computing and communications …, 2018
112018
Applying depthwise separable and multi-channel convolutional neural networks of varied kernel size on semantic trajectories
A Karatzoglou, N Schnell, M Beigl
Neural Computing and Applications 32 (11), 6685-6698, 2020
42020
Multi-channel Convolutional Neural Networks for Handling Multi-dimensional Semantic Trajectories and Predicting Future Semantic Locations
A Karatzoglou
International Workshop on Multiple-Aspect Analysis of Semantic Trajectories …, 2019
42019
Evolutionary optimization on artificial neural networks for predicting the user’s future semantic location
A Karatzoglou
International Conference on Engineering Applications of Neural Networks, 379-390, 2019
42019
Sentient destination prediction
A Karatzoglou, J Ebbing, P Ostheimer, W Hua, M Beigl
User Modeling and User-Adapted Interaction 30 (3), 331-363, 2020
32020
Semantic-enhanced learning (SEL) on artificial neural networks using the example of semantic location prediction
A Karatzoglou, M Beigl
Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019
32019
Enhancing the Affective Sensitivity of Location Based Services Using Situation-Person-Dependent Semantic Similarity
A Karatzoglou, M Beigl
The Eleventh International Conference on Mobile Ubiquitous Computing …, 2017
32017
Comfort-efficiency-equilibrium: A proactive, at room level individualized climate control system for smart buildings
A Karatzoglou, J Janßen, V Srikanthan, Y Ding, M Beigl
6th International Conference on Smart Cities and Green ICT Systems …, 2017
32017
Semantic trajectories and predicting future semantic locations
A Karatzoglou
Karlsruhe Institute of Technology, Germany, 2019
22019
Towards an affective semantic trajectory generator (ASTG)
A Karatzoglou, M Szarvas, M Beigl
2018 14th International Conference on Wireless and Mobile Computing …, 2018
22018
A Predictive Comfort- and Energy-aware MPC-driven Approach based on a Dynamic PMV Subjectification towards Personalization in an Indoor Climate Control Scenario
A Karatzoglou, J Janßen, V Srikanthan, C Urbaczek, M Beigl
7th International Conference on Smart Cities and Green ICT Systems 1, 89-100, 2018
22018
Applying Situation-Person-Driven Semantic Similarity On Location-Specific Cognitive Frames For Improving Location Prediction
A Karatzoglou, M Beigl
8th International Conference on Knowledge Engineering and Semantic Web (KESW …, 2017
22017
Applying topographic features for identifying speed patterns using the example of critical driving
A Karatzoglou
Proceedings of the 13th ACM SIGSPATIAL International Workshop on …, 2020
12020
A prototype of an in-situ radio sensing and visualization device
A Karatzoglou, M Scholz, T Riedel, M Beigl
2012 Ninth International Conference on Networked Sensing (INSS), 1-2, 2012
12012
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