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SAJNO, ELENA  

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Online posting effects: Unveiling the non-linear journeys of users in depression communities on Reddit 1-gen-2025 Morini, Virginia; Citraro, Salvatore; Sajno, Elena; Sansoni, Maria; Riva, Giuseppe; Stella, Massimo; Rossetti, Giulio
CO-XAI—Cognitive Decision Intelligence Framework for Explainable AI Systems 1-gen-2024 Sajno, E.; De Gaspari, S.; Pupillo, C.; Riva, G.
Democratizing Psychophysiological Research: Leveraging Open Resources for Experimental Settings and Data Analysis of Flow, Engagement and Performance 1-gen-2024 Sajno, E.; Chan, S.; Dagostin, F.; DE GASPARI, S.; Pupillo, C.; Riva, G.
Exploring the Relaxing Effects of Hallucinatory Simulated Experiences in Virtual Reality: A Pilot Study 1-gen-2024 Brizzi, G.; Pupillo, C.; Rastelli, C.; Greco, A.; Bernardelli, L.; Di Natale, A. F.; Pizzoli, S. F. M.; Sajno, E.; Frisone, F.; Ubaldi, A.; Di Lernia, D.; Riva, G.
The Analysis of Digital Biomarkers for Identifying and Predicting Frailty and Healthy Elderly through Machine Learning 1-gen-2024 DE GASPARI, S.; Chicchi Giglioli, I. A.; Pupillo, C.; Sajno, E.; Di Lernia, D.; Capriotti, A.; Olivetti, P.; Riva, G.
Understanding Artificial Intelligence: A Multidisciplinary Analysis of AI's Distinct Cognitive Architecture 1-gen-2024 Riva, G.; Sajno, E.; DE GASPARI, S.; Pupillo, C.; Sansoni, M.; Passalacqua, G.; Longoni, F.; Wiederhold, B. K.
Affective Computing for detecting psychological Flow state: A definition and methodological problem 1-gen-2023 Sajno, E.
Allocentric Full Body Illusion extends Peripersonal Space 1-gen-2023 Brizzi, G.; Sansoni, M.; Sajno, E.; de Gaspari, S.; Di Lernia, D.; Riva, G.
Detection of Break in Presence in Full Body Illusion using Machine Learning 1-gen-2023 de Gaspari, S.; Sajno, E.; di Lernia, D.; Brizzi, G.; Sansoni, M.; Riva, G.
Looking Through Your Eyes: Using Immersive Virtual Reality to Promote Well-Being among Cancer Survivors and Their Partners 1-gen-2023 Sansoni, M.; Brizzi, G.; Vila, A.; Guillen-Sanz, H.; Strocchia, F.; DE GASPARI, S.; Sajno, E.; Riva, G.
Machine learning in biosignals processing for mental health: A narrative review 1-gen-2023 Sajno, E.; Bartolotta, S.; Tuena, C.; Cipresso, P.; Pedroli, E.; Riva, G.
Navigating the Ethical Crossroads: Bridging the gap between Predictive Power and Explanation in the use of Artificial Intelligence in Medicine 1-gen-2023 Riva, G.; Sajno, E.; DE GASPARI, S.; Pupillo, C.; Wiederhold, B. K.
XAI in Affective Computing: a Preliminary Study 1-gen-2023 Sajno, E.; Rossi, A.; DE GASPARI, S.; Sansoni, M.; Brizzi, G.; Riva, G.
Biofeedback interventions using immersive virtual natural environment: A scoping review 1-gen-2022 Sajno, E.; Dagostin, F.; Cipresso, P.
CoLLaboratE: Artificial Intelligence for Human-Robot Collaboration 1-gen-2022 Riva, G.; Sajno, E.
Cyberintervention on plant workforce’s mental activity for safety 1-gen-2022 Sajno, E.; Maisetti, M.; Luongo, R.; Cipresso, P.
Follow the Flow: A Prospective on the On-Line Detection of Flow Mental State through Machine Learning 1-gen-2022 Sajno, E.; Beretta, A.; Novielli, N.; Riva, G.
Follow the Flow: Artificial Intelligence and Machine Learning for Achieving Optimal Performance 1-gen-2022 Sajno, E.; Riva, G.
MONSOON: Artificial Intelligence Meets Process Industries 1-gen-2022 Riva, G.; Sajno, E.
THOMAS: Robotic Workers with Embedded Cognition for Hybrid Manufacturing Systems 1-gen-2022 Riva, G.; Sajno, E.