Context in Affective Multiparty and Multimodal Interaction: Why, Which, How and Where? - Aggeliki Vlachostergiou; George Caridakis; Stefanos D. Kollias (UM3I@ICMI, 2014)

Investigating Context Awareness of Affective Computing Systems: A Critical Approach. - Aggeliki Vlachostergiou; George Caridakis; Stefanos D. Kollias (IHCI, 2014)

A Revisit to the Incorporation of Context - Awareness in Affective Computing Systems. - Aggeliki Vlachostergiou; Stefanos D. Kollias (DS@CONTEXT, 2015)

Smart home context awareness based on Smart and Innovative Cities. - Aggeliki Vlachostergiou; Georgios Stratogiannis; George Caridakis; Georgios Siolas; Phivos Mylonas (EANN Workshops, 2015)

HCI and Natural Progression of Context-Related Questions. - Aggeliki Vlachostergiou; George Caridakis; Amaryllis Raouzaiou; Stefanos D. Kollias (HCI (1), 2015)

User and home appliances pervasive interaction in a sensor driven smart home environment: The SandS approach. - Georgios Stratogiannis; Aggeliki Vlachostergiou; Georgios Siolas; George Caridakis; Phivos Mylonas; Andreas Stafylopatis; Stefanos D. Kollias (SMAP, 2015)

User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies. - Aggeliki Vlachostergiou; Georgios Stratogiannis; George Caridakis; George Siolas; Phivos Mylonas (J. Electr. Comput. Eng., 2016)

From Conditional Random Field (CRF) to Rhetorical Structure Theory(RST): Incorporating Context Information in Sentiment Analysis. - Aggeliki Vlachostergiou; George Marandianos; Stefanos D. Kollias (ESWC (Satellite Events), 2017)

Context incorporation using context - aware language features. - Aggeliki Vlachostergiou; George Marandianos; Stefanos D. Kollias (EUSIPCO, 2017)

Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database. - Aggeliki Vlachostergiou; Athanasios Tagaris; Andreas Stafylopatis; Stefanos D. Kollias (ICIP, 2018)

Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information. - Aggeliki Vlachostergiou; Athanasios Tagaris; Andreas Stafylopatis; Stefanos D. Kollias (ICIP, 2018)

Unfolding the External Behavior and Inner Affective State of Teammates through Ensemble Learning: Experimental Evidence from a Dyadic Team Corpus. - Aggeliki Vlachostergiou; Mark Dennison; Catherine Neubauer; Stefan Scherer; Peter Khooshabeh; Andre V. Harrison (LREC, 2018)

Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level. - Aggeliki Vlachostergiou; George Caridakis; Phivos Mylonas; Andreas Stafylopatis (Algorithms, 2018)

See with Your Eyes, Hear with Your Ears and Listen to Your Heart: Moving from Dyadic Teamwork Interaction towards a More Effective Team Cohesion and Collaboration in Long-Term Spaceflights under Stressful Conditions. - Aggeliki Vlachostergiou; Andre V. Harrison; Peter Khooshabeh (Big Data Cogn. Comput., 2020)