School of Informatics AUTh
Alexandros Vassiliades, Theodore Patkos, Antonis Bikakis, Giorgos Flouris, Nick Bassiliades, and Dimitris Plexousakis, Preliminary Notions of Arguments from Commonsense Knowledge SETN 2020, September 2–4, 2020, Athens, Greece
Alexandros Vassiliades, Nick Bassiliades, Filippos Gouidis, and Theodore Patkos A Knowledge Retrieval Framework for Household Objects and Actions with External Knowledge, presented at Semantics 2020, Amsterdam, Netherlands.
F. Gouidis, A. Vassiliades, T. Patkos, A. Argyros, N. Bassiliades, D. Plexousakis. A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning. presented at AAAI Spring Symposium, Stanford University, Palo Alto, California, USA,March 23-25, 2020
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
C. Nalmpantis, A. Lentzas and D. Vrakas, "A Theoretical Analysis of Pooling Operation Using Information Theory," 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, OR, USA, 2019, pp. 1729-1733
A. Lentzas, C. Nalmpantis, D. Vrakas (2019) Hyperparameter Tuning using Quantum Genetic Algorithms. In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, OR, USA, 2019, pp. 1412-1416.
A. Lentzas, A. Agapitos, D. Vrakas (2019). Evaluating state-of-the-art classifiers for human activity recognition using smartphones. In: 3rd IET International Conference on Technologies for Active and Assisted Living (TechAAL 2019).
