Research output per year
Research output per year
Fingerprint
Dive into the research topics where Datamanagement & Biometrics is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
Zahra Atashgahi
- Datamanagement & Biometrics - Internal PhD Candidate
- Digital Society Institute - Internal PhD Candidate
Person: Academic
-
Amina Bassit
- Datamanagement & Biometrics - Internal PhD Candidate
- Digital Society Institute - Internal PhD Candidate
Person: Academic
-
Nacir Bouali
- Datamanagement & Biometrics - Lecturer
- Digital Society Institute - Lecturer
Person: Academic
-
A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learning
Barkai, J. A., Verheijen, M. A. W., Talavera, E. & Wilkinson, M. H. F., Feb 2023, In: Astronomy & astrophysics. 670, 17 p., A55.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)25 Downloads (Pure) -
A Method for Bottleneck Detection, Prediction, and Recommendation Using Process Mining Techniques
Piest, J. P. S., Bemthuis, R. H., Cutinha, J. A., Arachchige, J. J. & Bukhsh, F. A., 22 Jul 2023, E-Business and Telecommunications: 18th International Conference on E-Business and Telecommunications, ICETE 2021, Virtual Event, July 6–9, 2021, Revised Selected Papers. Springer Nature, p. 118-136 19 p. (Communications in Computer and Information Science (CCIS); vol. 1795).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
-
Automated assessment of human engineered heart tissues using deep learning and template matching for segmentation and tracking
Rivera-Arbeláez, J. M., Keekstra, D., Cofiño-Fabres, C., Boonen, T., Dostanic, M., ten Den, S. A., Vermeul, K., Mastrangeli, M., van den Berg, A., Segerink, L. I., Ribeiro, M. C., Strisciuglio, N. & Passier, R., May 2023, In: Bioengineering and Translational Medicine. 8, 3, 15 p., e10513.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile13 Downloads (Pure)
Datasets
-
EgoFoodPlaces: Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams
Talavera Martínez, E. (Contributor), Leyva-Vallina, M. (Contributor), Radeva, P. (Contributor) & Petkov, N. (Contributor), 4TU.Centre for Research Data, 10 Sept 2021
DOI: 10.4121/16592420, https://data.4tu.nl/articles/_/16592420 and one more link, https://data.4tu.nl/articles/dataset/EgoFoodPlaces_Hierarchical_Approach_to_Classify_Food_Scenes_in_Egocentric_Photo-Streams/16592420 (show fewer)
Dataset
-
Orchid Flowers Dataset
Fitriardi-Apriyanti, D. H. (Creator), Harvard Dataverse, 25 Jun 2020
DOI: 10.7910/DVN/0HNECY
Dataset
-
Data underlying the paper: An agent-based process mining architecture for emergent behavior analysis
Bemthuis, R. (Contributor), Koot, M. (Contributor), Mes, M. R. K. (Contributor), Bukhsh, F. A. (Contributor), Iacob, M. E. (Contributor) & Meratnia, N. (Contributor), 4TU.Centre for Research Data, 27 Aug 2019
DOI: 10.4121/12708839.v2
Dataset
Prizes
-
Beste paper award
van Keulen, Maurice (Recipient), Kaminski, Benjamin (Recipient), Matheja, Christoph (Recipient) & Katoen, Joost-Pieter (Recipient), 4 Oct 2018
Prize
-
-
Best Paper Award at AAMAS 2022 Workshop on Adaptive Learning Agents (ALA 2022)
Sokar, Ghada A.Z.N. (Recipient), Mocanu, Elena (Recipient), Mocanu, Decebal Constantin (Recipient), Pechenizkiy, Mykola (Recipient) & Stone, Peter (Recipient), 10 May 2022
Prize
Activities
-
Learning Efficiently from Data using Sparse Neural Networks
Zahra Atashgahi (Speaker)
10 Mar 2023Activity: Talk or presentation › Invited talk
-
21st Conference on Artificial Intelligence, EPIA 2022
Zita Vale (Organiser), Tiago Pinto (Organiser), Pedro Faria (Organiser), Elena Mocanu (Organiser) & Decebal Constantin Mocanu (Organiser)
31 Aug 2022Activity: Participating in or organising an event › Organising a conference, workshop, ...
-
Sparsity in Neural Networks: Advancing Understanding and Practice 2022
Utku Evci (Organiser), Zhangyang Wang (Organiser), Elena Mocanu (Organiser), Jonathan Frankle (Organiser), Ari Marcos (Organiser), Baharan Mirzasoleiman (Organiser), Siddhant M. Jayakumar (Organiser), Chang Xu (Organiser), Trevor Gale (Organiser) & Decebal Constantin Mocanu (Organiser)
13 Jul 2022Activity: Participating in or organising an event › Organising a conference, workshop, ...
Press/Media
-
-
Neural Network Pruning 101
Decebal Constantin Mocanu & Elena Mocanu
9/09/21
1 item of Media coverage
Press/Media: Research
-
iTour 2021 - Data veilig delen en openbaar maken: WODC-onderzoek naar Statistical Disclosure Control-technologie
Sunil Choenni, Eric Schulte Nordholt, Maurice van Keulen, Marijn Janssen & Susan van den Braak
27/05/21
1 Media contribution
Press/Media: Public Engagement Activities