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Pepijn van de Ven
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2020 – today
- 2024
- [j8]Ramchandra Cheke
, Ciarán Eising
, Patrick Denny
, Pepijn van de Ven
:
PatchLoc: Embedded Patch Localization Pretext Task for Tumor Segmentation in Medical Images. IEEE Access 12: 66845-66857 (2024) - [i4]Daniel Jakab, Eoin Martino Grua, Brian Micheal Deegan, Anthony G. Scanlan, Pepijn van de Ven, Ciarán Eising:
Measuring Natural Scenes SFR of Automotive Fisheye Cameras. CoRR abs/2401.05232 (2024) - [i3]Daniel Jakab, Brian Michael Deegan, Sushil Sharma, Eoin Martino Grua, Jonathan Horgan, Enda Ward, Pepijn van de Ven, Anthony G. Scanlan, Ciarán Eising:
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges. CoRR abs/2402.12041 (2024) - 2023
- [j7]Cathaoir Agnew
, Ciarán Eising
, Patrick Denny
, Anthony G. Scanlan
, Pepijn van de Ven, Eoin Martino Grua
:
Quantifying the Effects of Ground Truth Annotation Quality on Object Detection and Instance Segmentation Performance. IEEE Access 11: 25174-25188 (2023) - [j6]Cathaoir Agnew
, Dishant Mewada, Eoin Martino Grua, Ciarán Eising
, Patrick Denny
, Mark Heffernan, Ken Tierney, Pepijn van de Ven, Anthony G. Scanlan
:
Detecting the overfilled status of domestic and commercial bins using computer vision. Intell. Syst. Appl. 18: 200229 (2023) - [c14]Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny
:
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images. AICS 2023: 1-8 - [c13]Jacqueline Humphries
, Pepijn van de Ven
, Alan Ryan
:
Augmenting the Human in Industry 4.0 to Add Value: A Taxonomy of Human Augmentation Approach. CHIRA (1) 2023: 318-335 - [c12]Prosper Azaglo, Pepijn van de Ven, Rachel M. Msetfi, John Nelson:
Machine Learning Models for Depression Detection Using the Concept of Perceived Control. IWANN (2) 2023: 339-351 - [i2]Aryan Singh, Pepijn van de Ven, Ciarán Eising
, Patrick Denny:
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification. CoRR abs/2307.12790 (2023) - [i1]Aryan Singh, Pepijn van de Ven, Ciarán Eising
, Patrick Denny
:
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images. CoRR abs/2311.07321 (2023) - 2022
- [c11]Eoghan Mulcahy, Pepijn van de Ven, John Nelson:
Aerial Object Detection for Water-Based Search & Rescue. AICS 2022: 344-354 - [c10]Ramchandra Cheke, Ganesh Sistu, Ciarán Eising
, Pepijn van de Ven, Varun Ravi Kumar, Senthil Kumar Yogamani:
FisheyePixPro: Self-supervised pretraining using Fisheye images for semantic segmentation. Autonomous Vehicles and Machines 2022: 1-6 - 2020
- [c9]Ciarán O' Mara, Eoghan Mulcahy, Pepijn van de Ven, John Nelson:
Streetseek - Understanding Public Space Engagement Using Deep Learning & Thermal Imaging. AICS 2020: 181-192
2010 – 2019
- 2017
- [j5]Ariel Soares Teles
, Artur Rocha
, Francisco José da Silva e Silva
, João Correia Lopes
, Donal O'Sullivan, Pepijn van de Ven
, Markus Endler:
Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness. Sensors 17(1): 127 (2017) - 2016
- [c8]Ariel Soares Teles
, Artur Rocha
, Francisco José Silva
, João Correia Lopes
, Donal O'Sullivan, Pepijn van de Ven
, Markus Endler:
Towards Situation-Aware Mobile Applications in Mental Health. CBMS 2016: 349-354 - [c7]Alan K. Bourke, Espen A. F. Ihlen
, Pepijn van de Ven
, John Nelson, Jorunn L. Helbostad:
Video analysis validation of a real-time physical activity detection algorithm based on a single waist mounted tri-axial accelerometer sensor. EMBC 2016: 4881-4884 - 2014
- [j4]John J. Guiry, Pepijn van de Ven
, John Nelson:
Multi-Sensor Fusion for Enhanced Contextual Awareness of Everyday Activities with Ubiquitous Devices. Sensors 14(3): 5687-5701 (2014) - [c6]John J. Guiry, Chris J. Karr
, Pepijn van de Ven
, John Nelson, Mark Begale:
A single vs. multi-sensor approach to enhanced detection of smartphone placement. EMBC 2014: 3691-3694 - 2013
- [j3]Artur Rocha
, Angelo Martins
, José Celso Freire Junior, Maged N. Kamel Boulos
, Manuel Escriche Vicente, Robert Feld, Pepijn van de Ven
, John Nelson, Alan Bourke, Gearóid Ó Laighin
, Claudio Sdogati, Angela Jobes, Leire Narvaiza, Alejandro Rodríguez-Molinero
:
Innovations in health care services: The CAALYX system. Int. J. Medical Informatics 82(11): e307-e320 (2013) - 2012
- [c5]Artur Rocha
, Mario Ricardo Henriques, João Correia Lopes
, Rui Camacho
, Michel C. A. Klein
, Gabriele Modena, Pepijn van de Ven
, Elaine McGovern, Eric Tousset
, Thibaut Gauthier, Lisanne Warmerdam:
ICT4Depression: Service oriented architecture applied to the treatment of depression. CBMS 2012: 1-6 - [p1]Lisanne Warmerdam, Heleen Riper
, Michel C. A. Klein
, Pepijn van de Ven, Artur Rocha
, Mario Ricardo Henriques, Eric Tousset, Hugo Silva, Gerhard Andersson
, Pim Cuijpers
:
Innovative ICT Solutions to Improve Treatment Outcomes for Depression: The ICT4Depression Project. Annual Review of Cybertherapy and Telemedicine 2012: 339-343
2000 – 2009
- 2008
- [c4]Pepijn van de Ven
, Alan Bourke, John Nelson, Gearóid Ó Laighin
:
A wireless platform for fall and mobility monitoring in health care. BODYNETS 2008: 4 - [c3]Pepijn van de Ven
, Alan Bourke, John Nelson, Gearóid Ó Laighin
:
A wearable wireless platform for fall and mobility monitoring. PETRA 2008: 48 - 2007
- [c2]Martin J. Hayes
, Seyed Mohammad Mahdi Alavi, Pepijn van de Ven
:
Robust Active Queue Management using a Quantitative Feedback Theory Based Loop-Shaping Framework. ACC 2007: 3077-3082 - 2005
- [j2]Pepijn van de Ven
, Colin Flanagan, Daniel J. F. Toal
:
Neural network control of underwater vehicles. Eng. Appl. Artif. Intell. 18(5): 533-547 (2005) - 2004
- [c1]Pepijn van de Ven, Colin Flanagan, Daniel J. F. Toal
, Edin Omerdic:
Identification and control of underwater vehicles with the aid of neural networks. RAM 2004: 428-433 - 2002
- [j1]Johan van der Tang, Pepijn van de Ven
, Dieter Kasperkovitz, Arthur H. M. van Roermund:
Analysis and design of an optimally coupled 5-GHz quadrature LC oscillator. IEEE J. Solid State Circuits 37(5): 657-661 (2002)
Coauthor Index
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last updated on 2024-06-19 21:02 CEST by the dblp team
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