Artificial Intelligence and Machine Learning

28 resultater

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2024
Utilizing Phonetic Similarity for Cross-source and Cross-language Toponym Matching - a Benchmark and Prototype
Sagi, T., Zaga, M., Rusinek, S., Fekete, M., Bjerva, J. & Hose, K., 20 mar. 2024, (Afsendt).
Publikation: Working paper/Preprint › Preprint
2023
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach
Wang, Z., Long, C., Cong, G. & Jensen, C. S., 2023, arXiv, 13 s.
Publikation: Working paper/Preprint › Preprint

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Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version)
Li, X., Li, H., Chan, H. K-H., Lu, H. & Jensen, C. S., 2023, arXiv.
Publikation: Working paper/Preprint › Preprint

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Efficient Cost Modeling of Space-filling Curves
Liu, G., Kulik, L., Jensen, C. S., Li, T. & Qi, J., 26 dec. 2023, arXiv, 13 s.
Publikation: Working paper/Preprint › Preprint

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10 Downloads (Pure)
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information
Ho Long, V., Ho, N. T. T., Pedersen, T. B. & Papapetrou, P., 1 jul. 2023, arXiv, s. 1-17, 17 s.
Publikation: Working paper/Preprint › Preprint

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15 Downloads (Pure)
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Shao, Z., Wang, F., Xu, Y., Wei, W., Yu, C., Zhang, Z., Yao, D., Jin, G., Cao, X., Cong, G., Jensen, C. S. & Cheng, X., 2023, arXiv, 14 s.
Publikation: Working paper/Preprint › Preprint

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LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Lai, Z., Zhang, D., Li, H., Jensen, C. S., Lu, H. & Zhao, Y., 2023, arXiv, 15 s.
Publikation: Working paper/Preprint › Preprint

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LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version.
Campos, D., Zhang, M., Yang, B., Kieu, T., Guo, C. & Jensen, C. S., 2023, arXiv, 15 s.
Publikation: Working paper/Preprint › Preprint

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Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version)
Li, X., Li, H., Lu, H., Jensen, C. S., Pandey, V. & Markl, V., 2023, arXiv, 18 s.
Publikation: Working paper/Preprint › Preprint

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Origin-Destination Travel Time Oracle for Map-based Services
Lin, Y., Wan, H., Hu, J., Guo, S., Yang, B., Lin, Y. & Jensen, C. S., 2023, arXiv, 15 s.
Publikation: Working paper/Preprint › Preprint

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Timed I/O Automata: It is never too late to complete your timed specification theory
Goorden, M. A., Larsen, K. G., Legay, A., Lorber, F., Nyman, U. & Wasowski, A., 2023, arXiv.
Publikation: Working paper/Preprint › Preprint

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Towards Mobility Data Science (Vision Paper)
Mokbel, M. F., Sakr, M. A., Xiong, L., Züfle, A., Almeida, J. M., Anderson, T., Aref, W. G., Andrienko, G. L., Andrienko, N. V., Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P. K., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C. S., Kim, J-S., Kim, K-S., & 28 flereKröger, P., Krumm, J., Lauer, J., Magdy, A., Nascimento, M. A., Ravada, S., Renz, M., Sacharidis, D., Shahabi, C., Salim, F. D., Sarwat, M., Schoemans, M., Speckmann, B., Tanin, E., Teng, X., Theodoridis, Y., Torp, K., Trajcevski, G., Kreveld, M. J. V., Wenk, C., Werner, M., Wong, R. C-W., Wu, S., Xu, J., Youssef, M., Zeinalipour, D., Zhang, M. & Zimányi, E., 2023, arXiv, 34 s.
Publikation: Working paper/Preprint › Preprint

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Trajectory Similarity Measurement: An Efficiency Perspective
Chang, Y., Tanin, E., Cong, G., Jensen, C. S. & Qi, J., 2023, arXiv, 28 s.
Publikation: Working paper/Preprint › Preprint

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2022
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis.
Zhao, Y., Deng, L., Chen, X., Guo, C., Yang, B., Kieu, T., Huang, F., Pedersen, T. B., Zheng, K. & Jensen, C. S., 2022, arXiv.
Publikation: Working paper/Preprint › Preprint
A Unified Approach for Multi-Scale Synchronous Correlation Search in Big Time Series
Ho, N. T. T., Ho Long, V., Pedersen, T. B., Vu, M. & Biscio, C., 2022, arXiv, 18 s.
Publikation: Working paper/Preprint › Preprint

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Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
Shao, Z., Zhang, Z., Wei, W., Wang, F., Xu, Y., Cao, X. & Jensen, C. S., 2022, arXiv.
Publikation: Working paper/Preprint › Preprint

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Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey.
Zhang, D., Chen, K., Zhao, Y., Yang, B., Yao, L. & Jensen, C. S., 2022, arXiv.
Publikation: Working paper/Preprint › Preprint

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Finding Representative Sampling Subsets in Sensor Graphs using Time Series Similarities
Chakraborty, R., Holm, J., Pedersen, T. B. & Popovski, P., 2022, arXiv.
Publikation: Working paper/Preprint › Preprint

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Graph Neural Networks for Microbial Genome Recovery
Lamurias, A., Tibo, A., Hose, K., Albertsen, M. & Nielsen, T. D., 2022, arXiv.
Publikation: Working paper/Preprint › Preprint

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Inducing Gaussian Process Networks
Tibo, A. & Nielsen, T. D., 2022, arXiv.
Publikation: Working paper/Preprint › Preprint

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Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report).
Chen, X., Zhao, Y., Zheng, K., Yang, B. & Jensen, C. S., 2022, arXiv.
Publikation: Working paper/Preprint › Preprint

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Maximizing the Influence of Bichromatic Reverse k Nearest Neighbors in Geo-Social Networks.
Jin, P., Chen, L., Gao, Y., Chang, X., Liu, Z. & Jensen, C. S., 2022, arXiv.
Publikation: Working paper/Preprint › Preprint

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Mining Seasonal Temporal Patterns in Time Series
Ho Long, V., Ho, N. T. T. & Pedersen, T. B., 2022, arXiv, 19 s.
Publikation: Working paper/Preprint › Preprint
The Lothbrok approach for SPARQL Query Optimization over Decentralized Knowledge Graphs
Aebeloe, C. T., Montoya, G. & Hose, K., 2022, arXiv, 38 s.
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Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full Version
Cirstea, R-G., Yang, B., Guo, C., Kieu, T. & Pan, S., 29 mar. 2022, arXiv, 14 s.
Publikation: Working paper/Preprint › Preprint

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29 Downloads (Pure)
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version
Cirstea, R-G., Guo, C., Yang, B., Kieu, T., Dong, X. & Pan, S., 28 apr. 2022, arXiv.
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Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version.
Yang, B., Guo, C., Hu, J., Yang, B., Tang, J. & Jensen, C. S., 2022, arXiv.
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2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Yang, S. B., Guo, C., Hu, J., Tang, J. & Yang, B., 17 jun. 2021, arXiv.
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