Publications

COVID-19 and Online Learning Tools

Distance education has a long history. However, COVID-19 has created a new era of distance education. Due to the increasing demand, …
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Forecasting - theory and practice

This unique article offers an encyclopedic review of the theory and practice of forecasting. This article is written by 80 experts from …
Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M.Z., Barrow, D.K., Ben Taieb, S., Bergmeir, C., Bessa, R.J., Bikaj, J., Boylan, J.E., Browell, J., Carnevale, C., Castle, J.L., Cirillo, P., Clements, M.P., Cordeiro, C., Cyrino Oliveira F.L., De Baets, S., Dokumentov, A., Ellison, J., Fiszeder, P., Franses, P.H., Frazier, D.T., Gilliland, M., Gonul, M.S., Goodwin, P., Grossi, L., Grushka-Cockayne, Y., Guidolin, M., Guidolin, M., Gunter, U., Guo, X., Guseo, R., Harvey, N., Hendry, D.F., Hollyman, R., Januschowski, T., Jeon, J., Jose, V.R.R., Kang, Y., Koehler, A.B., Kolassa, S., Kourentzes, N., Leva, S., Li, F., Litsiou, K., Makridakis, S., Martin, G.M., Martinez, A.B., Meeran, S., Modis, T., Nikolopoulos, K., Onkal, D., Paccagnini, A., Panagiotelis, A., Panapakidis, I., Pavia, J.M., Pedio, M., Pedregal Tercero, D.J., Pinson, P., Ramos, P., Rapach, D., Reade, J.J., Rostami-Tabar, B., Rubaszek, M., Sermpinis, G., Shang, H.L., Spiliotis, E., Syntetos, A.A., Priyanga Dilini Talagala, Talagala, T.S., Tashman, L., Thomakos, D., Thorarinsdottir, T., Todini, E., Trapero Arenas, J.R., Wang, X., Winkler, R.L., Yusupova, A., Ziel, F.
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Responsible AI: The talk of the Town

This article discusses the significance of responsible AI for the protection of humanity in an exceedingly unpredictable future.
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A feature‐based procedure for detecting technical outliers in water‐quality data from in situ sensors

This paper develops a method for detecting technical outliers in water-quality data derived from in situ sensors.
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Anomaly Detection in High Dimensional Data

The algorithm, stray, which is specially designed for high-dimensional data, addresses the limitations of the state-of-art-method, the …
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Anomaly Detection in Streaming Nonstationary Temporal Data

This article proposes a framework that provides early detection of anomalous series within a large collection of non-stationary …
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A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

We present a framework for automated anomaly detection in high-frequency water-quality data from in situ sensors, using turbidity, …
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