| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerating scientific discoveries through data-driven innovations
|
Alexander, Francis J.
|
|
|
|
11 |
p.
|
artikel
|
| 2 |
A method to establish functional vagus nerve topography from electro-neurographic spontaneous activity
|
Pitzus, Andrea
|
|
|
|
11 |
p.
|
artikel
|
| 3 |
A multi-scale unified model of human mobility in urban agglomerations
|
Chen, Yong
|
|
|
|
11 |
p.
|
artikel
|
| 4 |
An automated solution for measuring the progress toward FAIR research data
|
Devaraju, Anusuriya
|
|
|
|
11 |
p.
|
artikel
|
| 5 |
An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE
|
Murrugarra, David
|
|
|
|
11 |
p.
|
artikel
|
| 6 |
A normative framework for artificial intelligence as a sociotechnical system in healthcare
|
McCradden, Melissa D.
|
|
|
|
11 |
p.
|
artikel
|
| 7 |
Architecting data-driven microbial electrochemistry from scratch
|
Miran, Waheed
|
|
|
|
11 |
p.
|
artikel
|
| 8 |
A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images
|
Lyu, Qing
|
|
|
|
11 |
p.
|
artikel
|
| 9 |
A universal workflow for creation, validation, and generalization of detailed neuronal models
|
Reva, Maria
|
|
|
|
11 |
p.
|
artikel
|
| 10 |
Can we share models if sharing data is not an option?
|
Li, Zexi
|
|
|
|
11 |
p.
|
artikel
|
| 11 |
Chemical composition: Hearing insect defensive volatiles
|
Boevé, Jean-Luc
|
|
|
|
11 |
p.
|
artikel
|
| 12 |
Considering the ethical implications of digital collaboration in the Food Sector
|
Jacobs, Naomi
|
|
|
|
11 |
p.
|
artikel
|
| 13 |
Data and its (dis)contents: A survey of dataset development and use in machine learning research
|
Paullada, Amandalynne
|
|
|
|
11 |
p.
|
artikel
|
| 14 |
Data-centric approach to improve machine learning models for inorganic materials
|
Bartel, Christopher J.
|
|
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|
11 |
p.
|
artikel
|
| 15 |
Data-driven learning of Boolean networks and functions by optimal causation entropy principle
|
Sun, Jie
|
|
|
|
11 |
p.
|
artikel
|
| 16 |
Explainability and human intervention in autonomous scanning probe microscopy
|
Liu, Yongtao
|
|
|
|
11 |
p.
|
artikel
|
| 17 |
EXSCLAIM!: Harnessing materials science literature for self-labeled microscopy datasets
|
Schwenker, Eric
|
|
|
|
11 |
p.
|
artikel
|
| 18 |
Fairness and accountability of AI in disaster risk management: Opportunities and challenges
|
Gevaert, Caroline M.
|
|
|
|
11 |
p.
|
artikel
|
| 19 |
Honeycomb: An open-source distributed system for smart buildings
|
Xing, Tian
|
|
|
|
11 |
p.
|
artikel
|
| 20 |
Improving reduced-order models through nonlinear decoding of projection-dependent outputs
|
Zdybał, Kamila
|
|
|
|
11 |
p.
|
artikel
|
| 21 |
Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery
|
Qian, Xiaoning
|
|
|
|
11 |
p.
|
artikel
|
| 22 |
MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphology
|
Olson, Robert Hermod
|
|
|
|
11 |
p.
|
artikel
|
| 23 |
Meet the authors: Yong Chen, Xiqun (Michael) Chen, and Ziyou Gao
|
Chen, Yong
|
|
|
|
11 |
p.
|
artikel
|
| 24 |
Memetics and neural models of conspiracy theories
|
Duch, Włodzisław
|
|
|
|
11 |
p.
|
artikel
|
| 25 |
MERGE: A model for multi-input biomedical federated learning
|
Casella, Bruno
|
|
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11 |
p.
|
artikel
|
| 26 |
Meta-learning for fake news detection surrounding the Syrian war
|
Abu Salem, Fatima K.
|
|
|
|
11 |
p.
|
artikel
|
| 27 |
Modern views of machine learning for precision psychiatry
|
Chen, Zhe Sage
|
|
|
|
11 |
p.
|
artikel
|
| 28 |
Multivariate landscapes constructed by Bayesian estimation over five hundred microbial electrochemical time profiles
|
Miran, Waheed
|
|
|
|
11 |
p.
|
artikel
|
| 29 |
Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural network
|
Zhao, Feifei
|
|
|
|
11 |
p.
|
artikel
|
| 30 |
Navigating the “Kessel Run” of digital materials acceleration
|
Cranford, Steve
|
|
|
|
11 |
p.
|
artikel
|
| 31 |
No legal personhood for AI
|
Marshall, Brandeis
|
|
|
|
11 |
p.
|
artikel
|
| 32 |
Obligations to assess: Recent trends in AI accountability regulations
|
Oduro, Serena
|
|
|
|
11 |
p.
|
artikel
|
| 33 |
Optimal decision-making in high-throughput virtual screening pipelines
|
Woo, Hyun-Myung
|
|
|
|
11 |
p.
|
artikel
|
| 34 |
Potential carbon emissions reduction from fleet schedule reconfiguration of China’s and India’s external routes
|
Cui, Qiang
|
|
|
|
11 |
p.
|
artikel
|
| 35 |
Predicting energy and stability of known and hypothetical crystals using graph neural network
|
Pandey, Shubham
|
|
|
|
11 |
p.
|
artikel
|
| 36 |
Preview of “Data and its (dis)contents: A survey of dataset development and use in machine learning research”
|
Vincent, Nicholas
|
|
|
|
11 |
p.
|
artikel
|
| 37 |
Rapid personalized chemotherapy recommendation for cancer patients: An interview with Shaohua Ma and two members of his group
|
Fan, J.Q.
|
|
|
|
11 |
p.
|
artikel
|
| 38 |
Responsible and accountable data science
|
Wagner, Ben
|
|
|
|
11 |
p.
|
artikel
|
| 39 |
Revealing drivers and risks for power grid frequency stability with explainable AI
|
Kruse, Johannes
|
|
|
|
11 |
p.
|
artikel
|
| 40 |
TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning
|
Edwards, Parker
|
|
|
|
11 |
p.
|
artikel
|
| 41 |
The hidden dimension of open science: “Peopleware”
|
Medeiros, Claudia Bauzer
|
|
|
|
11 |
p.
|
artikel
|
| 42 |
Understanding emerging patterns and dynamics through the lenses of the cyber-physical universe
|
Lombardi, Mauro
|
|
|
|
11 |
p.
|
artikel
|
| 43 |
Upper limit of the transition temperature of superconducting materials
|
Liu, Yang
|
|
|
|
11 |
p.
|
artikel
|
| 44 |
What can data science tell us about finding new superconductors?
|
Lookman, Turab
|
|
|
|
11 |
p.
|
artikel
|
| 45 |
Zero-shot personalization of speech foundation models for depressed mood monitoring
|
Gerczuk, Maurice
|
|
|
|
11 |
p.
|
artikel
|
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