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Interdisciplinarne raziskave Archives - Metina listaMeta PHoDcast 166: Nina Reščič, matematičarka in raziskovalka na področju umetne inteligenceZ Nino Reščič o strojnem učenju, umetni inteligenci in razvoju pametnih vprašalnikov.
#MetaPHoDcast
Nina Reščič je doktorska študentka na Odseku za inteligentne sisteme na Inštitutu Jožefa Stefana. Pot do tja jo je vodila od študija uporabne matematike do zaposlitve v gospodarstvu in odločitve za raziskovalno pot. V doktorski nalogi je razvijala napovedovalne modele na podlagi strojnega učenja, ki bi lahko vodili do pametnih vprašalnikov.
S prehranskimi vprašalniki, ki ponavadi vključujejo nekaj deset vprašanj, želijo raziskovalke in raziskovalci s področja zdravja in prehrane izvedeti...2023-06-1532 minTehnika Archives - Metina listaMeta PHoDcast 166: Nina Reščič, matematičarka in raziskovalka na področju umetne inteligenceZ Nino Reščič o strojnem učenju, umetni inteligenci in razvoju pametnih vprašalnikov.
#MetaPHoDcast
Nina Reščič je doktorska študentka na Odseku za inteligentne sisteme na Inštitutu Jožefa Stefana. Pot do tja jo je vodila od študija uporabne matematike do zaposlitve v gospodarstvu in odločitve za raziskovalno pot. V doktorski nalogi je razvijala napovedovalne modele na podlagi strojnega učenja, ki bi lahko vodili do pametnih vprašalnikov.
S prehranskimi vprašalniki, ki ponavadi vključujejo nekaj deset vprašanj, želijo raziskovalke in raziskovalci s področja zdravja in prehrane izvedeti...2023-06-1532 minPodkasti Archives - Metina listaMeta PHoDcast 166: Nina Reščič, matematičarka in raziskovalka na področju umetne inteligenceZ Nino Reščič o strojnem učenju, umetni inteligenci in razvoju pametnih vprašalnikov.
#MetaPHoDcast
Nina Reščič je doktorska študentka na Odseku za inteligentne sisteme na Inštitutu Jožefa Stefana. Pot do tja jo je vodila od študija uporabne matematike do zaposlitve v gospodarstvu in odločitve za raziskovalno pot. V doktorski nalogi je razvijala napovedovalne modele na podlagi strojnega učenja, ki bi lahko vodili do pametnih vprašalnikov.
S prehranskimi vprašalniki, ki ponavadi vključujejo nekaj deset vprašanj, želijo raziskovalke in raziskovalci s področja zdravja in prehrane izvedeti...2023-06-1532 min
Meta PHoDcastMeta PHoDcast 166: Nina Reščič, matematičarka in raziskovalka na področju umetne inteligenceZ Nino Reščič o strojnem učenju, umetni inteligenci in razvoju pametnih vprašalnikov.
#MetaPHoDcast
Nina Reščič je doktorska študentka na Odseku za inteligentne sisteme na Inštitutu Jožefa Stefana. Pot do tja jo je vodila od študija uporabne matematike do zaposlitve v gospodarstvu in odločitve za raziskovalno pot. V doktorski nalogi je razvijala napovedovalne modele na podlagi strojnega učenja, ki bi lahko vodili do pametnih vprašalnikov.
S prehranskimi vprašalniki, ki ponavadi vključujejo nekaj deset vprašanj, želijo raziskovalke in raziskovalci s področja zdravja in prehrane izvedeti...2023-06-1532 min
WideHealth Podcast SeriesWideHealth Seminars with Milene Teixeira, " Automating the Generation of Dialogue Managers for Healthcare"This podcast is part of the "WideHealth Seminars". This project (widehealth.eu) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952279
Speaker: Milene Teixeira
Title: Automating the Generation of Dialogue Managers for Healthcare
Abstract: Health dialogue systems are required to respect some special requirements such as predictability and reliability. Given the complexities of the health domain, these systems frequently rely on knowledge-based techniques. However, the automated generation of reliable policies is a challenging task and it remains an open problem. This talk will f...2022-08-1854 min
WideHealth Podcast SeriesWideHealth Seminars with Stefan Konigorski, "StudyU: A platform for conducting digital N-of-1 trials that link personalized medicine and population health research"This podcast is part of the "WideHealth Seminars". This project (widehealth.eu) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952279
Speaker: Stefan Konigorski
Title: StudyU: A platform for conducting digital N-of-1 trials that link personalized medicine and population health research
Abstract: Traditionally, effect estimates of health interventions have been obtained from studies of large groups of individuals. However, the derived average effects do not allow meaningful insights on whether an intervention will help a given individual – which is at the center of personalized medicine. We have...2022-06-0454 min
WideHealth Podcast SeriesWideHealth Seminars with Walter Maetzler, "Digital biomarkers for chronic diseases: Lessons learned"This podcaste is part of the "WideHealth Seminars". This project (widehealth.eu) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952279
Speaker: Walter Maetzler
Title: Digital biomarkers for chronic diseases: Lessons learned
Abstract: In recent years, many -wearable- digital devices have conquered the consumer and fitness market, and the medical and health industry also expected an enormous development boost from this advance. However, the results currently available on the detection of disease, its progression and therapy through such digital devices are rather disappointing. The regulatory bodies...2022-06-041h 07
WideHealth Podcast SeriesWideHealth Seminars with Kyle Montague, "Democratising Healthcare Technologies: Wearables to cue for drooling in Parkinson’s Disease"This podcast is part of the "WideHealth Seminars". This project (widehealth.eu) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952279
Speaker: Kyle Montague
Title: Democratising Healthcare Technologies: Wearables to cue for drooling in Parkinson’s Disease
Abstract: Digital technologies are rapidly transforming the healthcare landscape. Artificial Intelligence and Machine Learning are helping researchers to discover more and more about diseases – leading to new breakthroughs in treatments and cures. In recent years we seen a surge in the use of wearable technologies to track and monitor ou...2022-06-041h 11
WideHealth Podcast SeriesWideHealth Seminars with Cátia Pesquita, "Knowledge Science for trust in AI-based biomedical and clinical applications"This podcast is part of the "WideHealth Seminars". This project (widehealth.eu) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952279
Speaker: Cátia Pesquita
Title: Knowledge Science for trust in AI-based biomedical and clinical applications
Abstract:
Biomedical and clinical applications of artificial intelligence are increasingly popular in the scientific community. However, concerns about potential bias and the lack of explainability of high-performing machine learning methods such as deep learning are limiting their adoption in practice. In this talk I explain...2022-05-1046 min
WideHealth Podcast SeriesWideHealth Seminars with Mitja Lustrek, "Activity recognition with a few twists: Experiences from SHL Challenges 2019 and 2020"Speaker: Mitja Lustrek
Title: Activity recognition with a few twists: Experiences from SHL Challenges 2019 and 2020 Abstract: Sussex-Huawei Locomotion (SHL) Dataset was recorded by three people carrying four phones in different locations on their bodies for seven months. It is labelled with eight locomotion activities: still, walking, running, biking, car, bus, train and subway. It was used in three machine-learning competitions organized in collaboration with the HASCA workshop at the Ubicomp conference in 2018–20. While the 2018 challenge presented a relatively standard activity-recognition problem, 2019 and 2020 introduced a few twists. In 2019, the goal was to recognize activities with the phone in the h...2022-01-2556 min
WideHealth Podcast SeriesWideHealth Seminars with Diogo Branco, "DataPark: Reflections from a Longitudinal Deployment of a Digital Platform for PD Monitoring"Speaker: Diogo Branco
Title: DataPark: Reflections from a Longitudinal Deployment of a Digital Platform for PD Monitoring
Abstract: Designing tools that are meaningful for healthcare environments can be difficult. There is the need to take into consideration the idiosyncrasies of dealing directly with clinicians, and patients and their families. This talk will focus on the importance of doing embedded research together with the ones that will use the software designed. For that, the talk will first introduce Datapark, a web platform for continuous monitoring of Parkinson's Disease. Additionally, the motivations and steps for designing the pla...2021-11-0954 min
WideHealth Podcast SeriesWideHealth Seminars with Hristijan Gjoreski, "Wearable Computing and its Machine-Learning Applications"Speaker: Hristijan Gjoreski, UKIM
Title: Wearable Computing and its Machine-Learning Applications
Abstract:
The recent technological advancements in the sensors development in their miniaturization, allowed numerous applications in the areas of wearable computing, pervasive computing, smart systems, mobile health etc. This talk will focus on few important machine-learning applications in with wearable devices such as smartphones, smartwatches, smart wristbands, etc.
The first part of the talk will introduce the whole process of development of a machine learning pipeline for human activity recognition with wearable accelerometers. Numerous technical steps in the creation of the classification m...2021-10-081h 07
WideHealth Podcast SeriesWideHealth Seminars with Venet Osmani, "Predicting deterioration of critically ill patients"Speaker: Venet Osmani, Fondazione Bruno Kessler
Title: Predicting deterioration of critically ill patients
Abstract:
Intensive care units generate large quantities of data from various patient monitoring and intervention systems. Limited ability of humans to process and act on complex information also extends to intensive care clinicians, at times resulting in information overload, and consequently hindering recognition of early signs of patient deterioration. Machine learning has been touted as a possible approach to address this problem. However, enormous challenges remain despite the significant work carried out in this domain.
In this talk I w...2021-08-1841 min
WideHealth Podcast SeriesWideHealth Seminars with Orhan Konak, "IMU-Based Trajectory Image Classification for Human Activity Recognition"Speaker: Orhan Konak, Hasso-Plattner Institute
Title: IMU-Based Trajectory Image Classification for Human Activity Recognition
Abstract: Recent trends in ubiquitous computing have led to a proliferation of studies that focus on human activity recognition (HAR) utilizing inertial sensor data. However, the performances of such approaches are limited by the amount of annotated training data, especially in fields where annotating data is highly time-consuming and requires specialized professionals, such as in healthcare. In image classification, this limitation has been mitigated by powerful oversampling techniques such as data augmentation. In this talk, we will evaluate how transforming inertial se...2021-08-1846 min
WideHealth Podcast SeriesWideHealth Seminars with André Rodrigues: "WildKey: A Privacy-Aware Keyboard Toolkit for In-The-Wild Data Collection"Speaker: André Rodrigues, LASIGE, Universidade de Lisboa
Title: WildKey: A Privacy-Aware Keyboard Toolkit for In-The-Wild Data Collection
Abstract:
Touch data, and in particular text-entry data, has been mostly collected in the laboratory, under controlled conditions. While touch and text-entry data has consistently shown its potential for monitoring and detecting a variety of conditions and impairments, its deployment in-the-wild remains a challenge. In this talk, we will present WildKey, an Android keyboard toolkit that allows for the usable deployment of in-the-wild user studies. WildKey is able to analyse text-entry behaviours through implicit and explicit text-entry da...2021-08-1853 min
WideHealth Podcast SeriesWideHealth Seminars with Nina Reščič: XPrize Pandemic Response ChallengeSpeaker: Nina Reščič, Jožef Stefan International Postgraduate School
Title: XPrize Pandemic Response Challenge
Short bio:
Nina Reščič graduated in Applied Mathematics from the University of Ljubljana, Faculty of Mathematics and Physics in 2012. After working in the industry (Aviation and Aerospace Engineering) she began working at the Jožef Stefan Institute in 2017. She is working as a researcher and is a PhD student at the Jožef Stefan International Postgraduate School. Her research interests involve activity recognition, nutrition monitoring and mathematical modelling. She was a member of SHL Activity Recognition competition winning team...2021-08-181h 00