| 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 | 67 | 2018 |
| A convolutional neural network approach for modeling semantic trajectories and predicting future locations A Karatzoglou, N Schnell, M Beigl Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 45 | 2018 |
| Using a Knowledge Graph of Scenes to Enable Search of Autonomous Driving Data. C Henson, S Schmid, AT Tran, A Karatzoglou ISWC (Satellites), 313-314, 2019 | 22 | 2019 |
| 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 | 22 | 2017 |
| Applying artificial neural networks on two-layer semantic trajectories for predicting the next semantic location A Karatzoglou, H Sentürk, A Jablonski, M Beigl Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 14 | 2017 |
| 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 | 13 | 2018 |
| Semantic-enhanced multi-dimensional Markov chains on semantic trajectories for predicting future locations A Karatzoglou, D Köhler, M Beigl Sensors 18 (10), 3582, 2018 | 12 | 2018 |
| 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 | 9 | 2020 |
| Multi-channel convolutional neural networks for handling multi-dimensional semantic trajectories and predicting future semantic locations A Karatzoglou Multiple-Aspect Analysis of Semantic Trajectories: First International …, 2020 | 9 | 2020 |
| 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 | 4 | 2020 |
| Sentient destination prediction A Karatzoglou, J Ebbing, P Ostheimer, W Hua, M Beigl User Modeling and User-Adapted Interaction 30 (3), 331-363, 2020 | 4 | 2020 |
| 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 | 4 | 2019 |
| Evolutionary optimization on artificial neural networks for predicting the user’s future semantic location A Karatzoglou Engineering Applications of Neural Networks: 20th International Conference …, 2019 | 4 | 2019 |
| Towards an affective semantic trajectory generator (ASTG) A Karatzoglou, M Szarvas, M Beigl 2018 14th International Conference on Wireless and Mobile Computing …, 2018 | 4 | 2018 |
| Semantic trajectories and predicting future semantic locations A Karatzoglou Dissertation, Karlsruhe, Karlsruher Institut für Technologie (KIT), 2019, 2019 | 3 | 2019 |
| 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 | 3 | 2018 |
| 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 | 3 | 2017 |
| 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 | 3 | 2017 |
| Map GPT playground: smart locations and routes with GPT C Zhang, A Karatzoglou, H Craig, D Yankov Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 2 | 2023 |
| Applying network kernel density estimation (NKDE) and temporal network kernel estimation (TNKDE) for generating safer routes A Karatzoglou Proceedings of the 15th ACM SIGSPATIAL International Workshop on …, 2022 | 2 | 2022 |
