Intelligent Systems Lab

I. Mollas, N. Bassiliades, I. Vlahavas, G. Tsoumakas, “LionForests: local interpretation of random forests”, presented at First International Workshop on New Foundations for Human-Centered AI (NeHuAI 2020) of 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostella, Spain, 4 September 2020.

D. Zaikis and I. Vlahavas, "Drug-Drug Interaction Classification Using Attention Based Neural Networks", In Proceedings of the 11th Hellenic Conference on Artificial Intelligence (SETN '20), Athens, Greece, 2-4 Sep 2020, pp. 34–40, Association for Computing Machinery, 2020

Stylianou, N., Razis, G., Goulis, D.G. and Vlahavas, I., 2020. EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature. Artificial Intelligence in Medicine 108, p.101949.

A. Vassiliades, Th. Patkos, A. Bikakis, G. Flouris, N. Bassiliades, D. Plexousakis, "Preliminary Notions of Arguments from Commonsense Knowledge", Proc. 11th Helenic Conference on Artificial Intelligence (SETN 2020), Sep 2-4, 2020, ACM, pp. 211–214.

A. Vassiliades, N. Bassiliades, F. Gouidis, Th. Patkos, "A Knowledge Retrieval Framework for Household Objects and Actions with External Knowledge", In: Semantic Systems. In the Era of Knowledge Graphs. Proc. SEMANTICS 2020. LNCS, vol 12378. Springer, Cham, Sep 9, 2020, pp 36-52.

C. Nalmpantis, D. Vrakas, On time series representations for multi-label NILM, Neural Computing and Applications, DOI: 10.1007/s00521-020-04916-5, 2020

A. Lentzas, D. Vrakas, Non-intrusive human activity recognition and abnormal behavior detection on elderly people: a review. Artif Intell Rev 53, 1975–2021, 2020

A. Nentidis, A. Krithara, G. Tsoumakas, G. Paliouras (2020) Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision, Information Processing and Management 57, 102282.

A. Lagopoulos, G. Tsoumakas (2020) Content-Aware Web Robot Detection, Applied Intelligence, Springer

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.

A. Seitaridis, E. Rigas, N. Bassiliades, S. D. Ramchurn, “An Agent-based Negotiation Scheme for the Distribution of Electric Vehicles across a set of Charging Stations”, Simulation Modelling Practice and Theory, Vol. 100, April 2020, 102040.

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", Proc. AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020), Stanford University, Palo Alto, United States, March 2020, CEUR Workshop Proceedings, Vol. 2600.

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).