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Venet Osmani
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2020 – today
- 2024
- [c38]Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu:
Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection. MICCAI (1) 2024: 296-306 - [i14]Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed
, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu:
MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment. CoRR abs/2403.10635 (2024) - [i13]Md. Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection. CoRR abs/2403.13658 (2024) - 2023
- [j24]Seyedmostafa Sheikhalishahi, Anirban Bhattacharyya, Leo Anthony Celi, Venet Osmani:
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care. Artif. Intell. Medicine 144: 102659 (2023) - [j23]André M. Carrington
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 329-341 (2023) - 2022
- [j22]Sergio Muñoz
Prediction of stress levels in the workplace using surrounding stress. Inf. Process. Manag. 59(6): 103064 (2022) - [j21]Marco Chierici
Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. BMC Medical Informatics Decis. Mak. 22-S(6): 300 (2022) - [i12]Raffaele Marchesi, Nicolo Micheletti, Giuseppe Jurman, Venet Osmani
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data. CoRR abs/2210.13958 (2022) - 2021
- [j20]Bernhard Wernly, Behrooz Mamandipoor, Philipp Baldia, Christian Jung
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation. Int. J. Medical Informatics 145: 104312 (2021) - [j19]Behrooz Mamandipoor, Fernando Frutos-Vivar
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation. BMC Medical Informatics Decis. Mak. 21(1): 152 (2021) - [j18]Alban Maxhuni, Pablo Hernandez-Leal, Eduardo F. Morales
Unobtrusive Stress Assessment Using Smartphones. IEEE Trans. Mob. Comput. 20(6): 2313-2325 (2021) - [c37]Junos Lukan, Larissa Bolliger, Els Clays
Participants' Experience and Adherence in Repeated Measurement Studies Among Office-Based Workers. UbiComp/ISWC Adjunct 2021: 528-531 - [i11]André M. Carrington
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation. CoRR abs/2103.11357 (2021) - [i10]Behrooz Mamandipoor, Wesley Yeung, Louis Agha-Mir-Salim, David J. Stone, Venet Osmani, Leo Anthony Celi:
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study. CoRR abs/2107.07582 (2021) - 2020
- [c36]Behrooz Mamandipoor, Mahshid Majd, Monica Moz, Venet Osmani
Blood Lactate Concentration Prediction in Critical Care. MIE 2020: 73-77 - [c35]Aleksandr Talitckii, Anna Anikina, Ekaterina Kovalenko, Oscar Mayora, Venet Osmani
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage. PervasiveHealth 2020: 419-422
2010 – 2019
- 2019
- [j17]Elias Ruiz, Venet Osmani, Luis Enrique Sucar, Oscar Mayora
Detecting dressing failures using temporal-relational visual grammars. J. Ambient Intell. Humaniz. Comput. 10(7): 2757-2770 (2019) - [i9]Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani:
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. CoRR abs/1908.05780 (2019) - [i8]Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani
Benchmarking machine learning models on eICU critical care dataset. CoRR abs/1910.00964 (2019) - [i7]Behrooz Mamandipoor, Mahshid Majd, Monica Moz, Venet Osmani
Blood lactate concentration prediction in critical care patients: handling missing values. CoRR abs/1910.01473 (2019) - 2018
- [c34]Venet Osmani, Li Li, Matteo Danieletto, Benjamin S. Glicksberg, Joel Dudley, Oscar Mayora
Automatic processing of Electronic Medical Records using Deep Learning. PervasiveHealth 2018: 251-257 - [e1]Noga Minsky, Venet Osmani:
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018, New York, NY, USA, May 21-24, 2018. ACM 2018 [contents] - [i6]Raihana Ferdous, Venet Osmani, Oscar Mayora:
Smartphone apps usage patterns as a predictor of perceived stress levels at workplace. CoRR abs/1803.03863 (2018) - [i5]Venet Osmani, Li Li, Matteo Danieletto, Benjamin S. Glicksberg, Joel Dudley, Oscar Mayora:
Processing of Electronic Health Records using Deep Learning: A review. CoRR abs/1804.01758 (2018) - 2017
- [c33]Venet Osmani, Stefano Forti, Oscar Mayora
Enabling prescription-based health apps. PervasiveHealth 2017: 272-275 - [c32]Venet Osmani, Stefano Forti, Oscar Mayora
Challenges and opportunities in evolving TreC personal health record platform. PervasiveHealth 2017: 288-291 - [i4]Venet Osmani, Stefano Forti, Oscar Mayora, Diego Conforti:
Enabling Prescription-based Health Apps. CoRR abs/1706.09407 (2017) - 2016
- [j16]Alban Maxhuni, Pablo Hernandez-Leal
Stress modelling and prediction in presence of scarce data. J. Biomed. Informatics 63: 344-356 (2016) - [j15]Alban Maxhuni, Angélica Muñoz-Meléndez, Venet Osmani, Humberto Perez, Oscar Mayora
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients. Pervasive Mob. Comput. 31: 50-66 (2016) - [j14]Enrique Garcia-Ceja, Venet Osmani, Oscar Mayora
Automatic Stress Detection in Working Environments From Smartphones' Accelerometer Data: A First Step. IEEE J. Biomed. Health Informatics 20(4): 1053-1060 (2016) - 2015
- [j13]Venet Osmani
Smartphones in Mental Health: Detecting Depressive and Manic Episodes. IEEE Pervasive Comput. 14(3): 10-13 (2015) - [j12]Asimina Kiourti, Venet Osmani:
Welcome message from the Editors. EAI Endorsed Trans. Pervasive Health Technol. 1(1): e1 (2015) - [j11]Franz Gravenhorst, Venet Osmani, Bert Arnrich
Exploring the link between behaviour and health. Pers. Ubiquitous Comput. 19(2): 255-257 (2015) - [j10]Franz Gravenhorst, Amir Muaremi, Jakob E. Bardram
Mobile phones as medical devices in mental disorder treatment: an overview. Pers. Ubiquitous Comput. 19(2): 335-353 (2015) - [j9]Agnes Grünerbl, Amir Muaremi, Venet Osmani
Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients. IEEE J. Biomed. Health Informatics 19(1): 140-148 (2015) - [c31]Pablo Hernandez-Leal
Stress Modelling Using Transfer Learning in Presence of Scarce Data. AmIHEALTH 2015: 224-236 - [c30]Raihana Ferdous, Venet Osmani, Jessica Beltrán-Márquez
Investigating correlation between verbal interactions and perceived stress. EMBC 2015: 1612-1615 - [c29]Raihana Ferdous, Venet Osmani
Smartphone app usage as a predictor of perceived stress levels at workplace. PervasiveHealth 2015: 225-228 - [i3]Venet Osmani, Agnes Grünerbl, Gernot Bahle, Christian Haring, Paul Lukowicz, Oscar Mayora
Smartphones in Mental Health: Detecting Depressive and Manic Episodes. CoRR abs/1510.01665 (2015) - [i2]Enrique Garcia-Ceja, Venet Osmani, Oscar Mayora:
Automatic Stress Detection in Working Environments from Smartphones' Accelerometer Data: A First Step. CoRR abs/1510.04221 (2015) - 2014
- [j8]Oscar Mayora
Mobile Health Systems for Bipolar Disorder: The Relevance of Non-Functional Requirements in MONARCA Project. Int. J. Handheld Comput. Res. 5(1): 1-12 (2014) - [j7]Venet Osmani, Iacopo Carreras, Aleksandar Matic, Piret Saar:
An analysis of distance estimation to detect proximity in social interactions. J. Ambient Intell. Humaniz. Comput. 5(3): 297-306 (2014) - [c28]Enrique Garcia-Ceja, Venet Osmani, Alban Maxhuni, Oscar Mayora
Detecting Walking in Synchrony Through Smartphone Accelerometer and Wi-Fi Traces. AmI 2014: 33-46 - [c27]Agnes Grünerbl, Venet Osmani
Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients. AH 2014: 38:1-38:8 - [c26]Aleksandar Matic, Venet Osmani, Oscar Mayora-Ibarra
Mobile monitoring of formal and informal social interactions at workplace. UbiComp Adjunct 2014: 1035-1044 - [c25]Oscar Mayora, Venet Osmani:
From Ubiquitous Computing to Human Aware Networking: Exploiting the Know-how of Ubicomp Research for Improving Networked-User Experience. ICCASA 2014: 110-113 - [c24]Matthia Sabatelli, Venet Osmani, Oscar Mayora
Correlation of significant places with self-reported state of bipolar disorder patients. MobiHealth 2014: 116-119 - [c23]Jorge Alvarez-Lozano, Venet Osmani, Oscar Mayora-Ibarra
Tell me your apps and I will tell you your mood: correlation of apps usage with bipolar disorder state. PETRA 2014: 19:1-19:7 - 2013
- [j6]Aleksandar Matic, Venet Osmani
Trade-offs in monitoring social interactions. IEEE Commun. Mag. 51(7) (2013) - [j5]Bert Arnrich
Mental health and the impact of ubiquitous technologies. Pers. Ubiquitous Comput. 17(2): 211-213 (2013) - [c22]Aleksandar Matic, Alban Maxhuni, Venet Osmani, Oscar Mayora
Virtual uniforms: using sound frequencies for grouping individuals. UbiComp (Adjunct Publication) 2013: 159-162 - [c21]Venet Osmani, Alban Maxhuni, Agnes Grünerbl, Paul Lukowicz, Christian Haring, Oscar Mayora
Monitoring activity of patients with bipolar disorder using smart phones. MoMM 2013: 85 - [c20]Mary Czerwinski, Oscar Mayora, Paul Lukowicz, Andrew Campbell, Venet Osmani:
Preface. PervasiveHealth 2013 - [i1]Andrei Popleteev, Venet Osmani, Oscar Mayora:
Investigation of indoor localization with ambient FM radio stations. CoRR abs/1308.1606 (2013) - 2012
- [j4]Aleksandar Matic, Venet Osmani, Oscar Mayora-Ibarra
Analysis of Social Interactions Through Mobile Phones. Mob. Networks Appl. 17(6): 808-819 (2012) - [c19]Aleksandar Matic, Venet Osmani, Andrei Popleteev, Oscar Mayora-Ibarra:
A Pilot Study of Short-term Effects of Non-sedentary Behaviour on Mood Changes. HEALTHINF 2012: 299-304 - [c18]Aleksandar Matic, Venet Osmani
Speech activity detection using accelerometer. EMBC 2012: 2112-2115 - [c17]Andrei Popleteev, Venet Osmani, Oscar Mayora
Investigation of indoor localization with ambient FM radio stations. PerCom 2012: 171-179 - [c16]Iacopo Carreras, Aleksandar Matic, Piret Saar, Venet Osmani:
Comm2Sense: Detecting proximity through smartphones. PerCom Workshops 2012: 253-258 - [c15]Aleksandar Matic, Venet Osmani, Alban Maxhuni, Oscar Mayora
Multi-modal mobile sensing of social interactions. PervasiveHealth 2012: 105-114 - [c14]Andrei Popleteev, Venet Osmani, Rosa Maimone, Silvia Gabrielli, Oscar Mayora
Mobile stress treatment: The interstress approach. PervasiveHealth 2012: 197-198 - 2011
- [c13]Aleksandar Matic, Venet Osmani, Oscar Mayora
RFID-Based System for Tracking People: Approaches to Tagging Demented Patients. AMBI-SYS 2011: 60-65 - [c12]Aleksandar Matic, Venet Osmani, Andrei Popleteev, Oscar Mayora-Ibarra
Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes. CONTEXT 2011: 200-213 - [c11]Andrei Popleteev, Venet Osmani, Oscar Mayora
Indoor Localization Using Audio Features of FM Radio Signals. CONTEXT 2011: 246-249 - [c10]Alban Maxhuni, Aleksandar Matic, Venet Osmani, Oscar Mayora-Ibarra
Correlation between self-reported mood states and objectively measured social interactions at work: A pilot study. PervasiveHealth 2011: 308-311 - 2010
- [j3]Andrei Papliatseyeu, Venet Osmani, Oscar Mayora
Indoor Positioning Using FM Radio. Int. J. Handheld Comput. Res. 1(3): 19-31 (2010) - [j2]Aleksandar Matic, Andrei Popleteev, Venet Osmani, Oscar Mayora-Ibarra
FM radio for indoor localization with spontaneous recalibration. Pervasive Mob. Comput. 6(6): 642-656 (2010) - [c9]Bert Arnrich
UbiHealth 2010: the 5th international workshop on ubiquitous health and wellness. UbiComp (Adjunct Papers) 2010: 497-500 - [c8]Aleksandar Matic, Andrei Papliatseyeu, Venet Osmani, Oscar Mayora-Ibarra
Tuning to your position: FM radio based indoor localization with spontaneous recalibration. PerCom 2010: 153-161 - [c7]Aleksandar Matic, Priyal Mehta, James M. Rehg, Venet Osmani, Oscar Mayora
AID-ME: Automatic identification of dressing failures through monitoring of patients and activity Evaluation. PervasiveHealth 2010: 1-8
2000 – 2009
- 2009
- [c6]Andrei Papliatseyeu, Niko Kotilainen, Oscar Mayora
FINDR: Low-Cost Indoor Positioning Using FM Radio. MOBILWARE 2009: 15-26 - [c5]Aleksandar Matic, Venet Osmani:
Technologies to monitor cognitive decline a preliminary case study. PervasiveHealth 2009: 1-4 - [c4]Venet Osmani
Human activity recognition supporting context-appropriate reminders for elderly. PervasiveHealth 2009: 1-4 - 2008
- [j1]Venet Osmani, Sasitharan Balasubramaniam
Human activity recognition in pervasive health-care: Supporting efficient remote collaboration. J. Netw. Comput. Appl. 31(4): 628-655 (2008) - 2007
- [c3]Venet Osmani, Sasitharan Balasubramaniam
Self-organising object networks using context zones for distributed activity recognition. BODYNETS 2007: 14 - [c2]Venet Osmani, Sasitharan Balasubramaniam
A Bayesian Network and Rule-Base Approach Towards Activity Inference. VTC Fall 2007: 254-258 - 2006
- [c1]Venet Osmani
A Distributed Hierarchical Structure for Object Networks Supporting Human Activity Recognition. MMNS 2006: 128-133
Coauthor Index
Oscar Mayora-Ibarra
aka: Oscar Mayora
aka: Oscar Mayora
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