School of Informatics AUTh
K. Sechidis, E. Spyromitros-Xioufis, I. Vlahavas, Multi-target feature selection through output space clustering, ESANN 2019
K. Sechidis, E. Spyromitros-Xioufis, Ioannis Vlahavas, Information Theoretic Multi-Target Feature Selection, Entropy, MDPI, Entropy 2019, 21(9), 855; doi.org/10.3390/e21090855
A.Gidiotis, G. Tsoumakas (2019) Structured Summarization of Academic Publications, 2019 Joint European Conference on Machine Learning and Knowledge Discovery in Databases
B. Liu, G. Tsoumakas, (2019) Synthetic Oversampling of Multi-label Data Based on Local Label Distribution, 2019 Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2019), Würzburg, Germany.
G. Martinopoulos, N. Bassiliades, Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs, Fernando Lopes, Helder Coelho (Eds.), Springer, Cham (2018), ISBN: 978-3-319-74261-8, Book Review, Energy, Volume 186, 2019, 115870.
K. Kravari, N. Bassiliades, “StoRM: A Social Agent-based Trust Model for the Internet of Things Adopting Microservice Architecture”, Simulation Modelling Practice and Theory, Vol. 94, pp. 286–302, 2019.
I. Mollas, N. Bassiliades, G. Tsoumakas, “LioNets: Local Interpretation of Neural Networks through Penultimate Layer Decoding”, presented at AIMLAI-XKDD Workshop of ECML-PKDD Conference, Würzburg, Germany, 16-20 September 2019.
Nalmpantis C., Vrakas D. (2019) Signal2Vec: Time Series Embedding Representation. In: Macintyre J., Iliadis L., Maglogiannis I., Jayne C. (eds) Engineering Applications of Neural Networks. EANN 2019. Communications in Computer and Information Science, vol 1000. Springer, Cham
Kyrkou L., Nalmpantis C., Vrakas D. (2019) Imaging Time-Series for NILM. In: Macintyre J., Iliadis L., Maglogiannis I., Jayne C. (eds) Engineering Applications of Neural Networks. EANN 2019. Communications in Computer and Information Science, vol 1000. Springer, Cham
Symeonidis N., Nalmpantis C., Vrakas D. (2019) A Benchmark Framework to Evaluate Energy Disaggregation Solutions. In: Macintyre J., Iliadis L., Maglogiannis I., Jayne C. (eds) Engineering Applications of Neural Networks. EANN 2019. Communications in Computer and Information Science, vol 1000. Springer, Cham
