L. Lonini

发表

Dispensing an enzyme-conjugated solution into an ELISA plate by adapting ink-jet printers.

Eugenio Guglielmelli, Luca Lonini, Dino Accoto, 2008, Journal of biochemical and biophysical methods.

Sensor Fusion to Infer Locations of Standing and Reaching Within the Home in Incomplete Spinal Cord Injury

Konrad Paul Kording, C. Mummidisetty, A. Jayaraman, 2017, American journal of physical medicine & rehabilitation.

The need to approximate the use-case in clinical machine learning

Konrad P. Kording, Konrad Paul Kording, Arun Jayaraman, 2017, GigaScience.

Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study

Konrad P. Kording, Konrad Paul Kording, Arun Jayaraman, 2016, Journal of NeuroEngineering and Rehabilitation.

Voodoo Machine Learning for Clinical Predictions

Konrad P. Kording, David C. Mohr, Konrad Paul Kording, 2016, bioRxiv.

Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study

Sung Yul Shin, C. Mummidisetty, Nicholas Shawen, 2021, IEEE Journal of Translational Engineering in Health and Medicine.

Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study

Kyle R. Embry, A. Jayaraman, Y. Moon, 2022, Digital Biomarkers.

Using and understanding cross-validation strategies. Perspectives on Saeb et al.

Max A. Little, Gael Varoquaux, Konrad P. Kording, 2017, GigaScience.

An Internal Model for Acquisition and Retention of Motor Learning During Arm Reaching

Hermano Igo Krebs, Loredana Zollo, Eugenio Guglielmelli, 2009, Neural Computation.

Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models

Andrew M. Dai, John A. Rogers, Luca Lonini, 2018, npj Digital Medicine.

Humans Can Integrate Augmented Reality Feedback in Their Sensorimotor Control of a Robotic Hand

Dario Farina, Christian Cipriani, Francesco Clemente, 2017, IEEE Transactions on Human-Machine Systems.

Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors

Megan K. O’Brien, J. Rogers, R. Ghaffari, 2020, Journal of NeuroEngineering and Rehabilitation.

Self-calibrating smooth pursuit through active efficient coding

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2015, Robotics Auton. Syst..

Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific Models

Konrad Kording, Konrad Paul Kording, Arun Jayaraman, 2017, JMIR rehabilitation and assistive technologies.

Robust active binocular vision through intrinsically motivated learning

Yu Zhao, Jochen Triesch, Bertram E. Shi, 2013, Front. Neurorobot..

ODEs model of foreign body reaction around peripheral nerve implanted electrode

S Micera, P M Rossini, D Accoto, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Generalization and Interference in Human Motor Control

Christos Dimitrakakis, Jochen Triesch, Luca Lonini, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

Computational and Robotic Models of the Hierarchical Organization of Behavior

Christos Dimitrakakis, Jochen Triesch, Luca Lonini, 2012 .

Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

Mark V Albert, Konrad Kording, Konrad Paul Kording, 2017, JMIR mHealth and uHealth.

The need to approximate the use-case in clinical machine learning

Konrad Paul Kording, D. Mohr, A. Jayaraman, 2017, GigaScience.

Activity recognition in patients with lower limb impairments: Do we need training data from each patient?

Aakash Gupta, Konrad P. Körding, Luca Lonini, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).