Andrea Piscitello
Andrea Piscitello
University of Illinois at Chicago, Politecnico di Milano
E-mailová adresa ověřena na:
Predicting mood disturbance severity with mobile phone keystroke metadata: a biaffect digital phenotyping study
J Zulueta, A Piscitello, M Rasic, R Easter, P Babu, SA Langenecker, ...
Journal of medical Internet research 20 (7), e9775, 2018
Deepmood: modeling mobile phone typing dynamics for mood detection
B Cao, L Zheng, C Zhang, PS Yu, A Piscitello, J Zulueta, O Ajilore, K Ryan, ...
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study
C Vesel, H Rashidisabet, J Zulueta, JP Stange, J Duffecy, F Hussain, ...
Journal of the American Medical Informatics Association 27 (7), 1007-1018, 2020
Let your fingers do the talking: Passive typing instability predicts future mood outcomes
JP Stange, J Zulueta, SA Langenecker, KA Ryan, A Piscitello, J Duffecy, ...
Bipolar disorders 20 (3), 285-288, 2018
Passive sensing of affective and cognitive functioning in mood disorders by analyzing keystroke kinematics and speech dynamics
F Hussain, JP Stange, SA Langenecker, MG McInnis, J Zulueta, ...
Digital phenotyping and mobile sensing, 229-258, 2023
Danger-system: Exploring new ways to manage occupants safety in smart building
A Piscitello, F Paduano, AA Nacci, D Noferi, MD Santambrogio, D Sciuto
2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 675-680, 2015
247. BiAffect: Passive monitoring of psychomotor activity in mood disorders using mobile keystroke kinematics
A Leow, J Stange, J Zulueta, O Ajilore, F Hussain, A Piscitello, K Ryan, ...
Biological Psychiatry 85 (10), S102-S103, 2019
Naturalistic smartphone keyboard typing reflects processing speed and executive function
MK Ross, AP Demos, J Zulueta, A Piscitello, SA Langenecker, M McInnis, ...
Brain and behavior 11 (11), e2363, 2021
The effects of bipolar disorder risk on a mobile phone keystroke dynamics based biomarker of brain age
J Zulueta, AP Demos, C Vesel, M Ross, A Piscitello, F Hussain, ...
Frontiers in Psychiatry 12, 2021
BiAffect: A system for analyzing neurocognitive functioning using keystroke dynamics and machine learning
A Piscitello
University of Illinois at Chicago, 2015
Convergence of Active and Passive Assessments of Affective Instability in Predicting the Prospective Course of Bipolar Disorder: The BiAffect Study
J Stange, J Zulueta, S Langenecker, K Ryan, A Piscitello, O Ajilore, ...
Neuropsychopharmacology 43, S164-S164, 2017
Ruleset minimization in multi-tenant Smart Buildings
A Piscitello, AA Nacci, V Rana, MD Santambrogio, D Sciuto
2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and …, 2016
Characterizing Passively Collected Real-World Keyboard Dynamics in Mood Disorders as a Function of Age and Time-of-Day
H Rashidisabet, C Vesel, A Demos, C Bennett, J Zulueta, J Stange, ...
Biological Psychiatry 87 (9), S150, 2020
Diurnal Patterns as Evidenced by Over Eleven Million Smartphone Keystrokes During Daily Usage: An iOS BiAffect Study
C Vesel, H Rashidisabet, A Demos, J Zulueta, J Stange, J Duffecy, ...
Can we predict bipolarity with mobile phone keystroke dynamics metadata
B Cao, J Zulueta, A Piscitello, K Ryan, P Nelson, P Yu, A Leow
BIPOLAR DISORDERS 19, 79-79, 2017
Sink state analysis in multi-tenant smart buildings
A Piscitello, AA Nacci, V Rana, MD Santambrogio, D Sciuto
2016 IEEE 2nd International Forum on Research and Technologies for Society …, 2016
Supporting multi-tenant scenarios in smart buildings: ruleset minimization, conflict resolution and sink state analysis
Italy, 2016
An Interactive method to control Computer Animation in an intuitive way.
A Piscitello, E Trainiti
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Články 1–18