nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Ada Lovelace: A Simple Solution to a Lengthy Controversy
|
Charman-Anderson, Suw |
|
|
|
7 |
p. |
artikel |
2 |
Ada Lovelace Day and Celebrating Women in STEM
|
Callaghan, Sarah |
|
|
|
7 |
p. |
artikel |
3 |
Advancing sensory neuroprosthetics using artificial brain networks
|
Haslacher, David |
|
|
|
7 |
p. |
artikel |
4 |
A generic battery-cycling optimization framework with learned sampling and early stopping strategies
|
Deng, Changyu |
|
|
|
7 |
p. |
artikel |
5 |
AI-enabled image fraud in scientific publications
|
Gu, Jinjin |
|
|
|
7 |
p. |
artikel |
6 |
AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery
|
August, Tom A. |
|
|
|
7 |
p. |
artikel |
7 |
A machine learning framework to optimize optic nerve electrical stimulation for vision restoration
|
Romeni, Simone |
|
|
|
7 |
p. |
artikel |
8 |
Are we ready for a new paradigm shift? A survey on visual deep MLP
|
Liu, Ruiyang |
|
|
|
7 |
p. |
artikel |
9 |
Argonaut: A Web Platform for Collaborative Multi-omic Data Visualization and Exploration
|
Brademan, Dain R. |
|
|
|
7 |
p. |
artikel |
10 |
Artificial intelligence for antibody reading comprehension: AntiBERTa
|
Choi, Yoonjoo |
|
|
|
7 |
p. |
artikel |
11 |
Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring
|
McClure, Eva C. |
|
|
|
7 |
p. |
artikel |
12 |
Biology-inspired graph neural network encodes reactome and reveals biochemical reactions of disease
|
Burkhart, Joshua G. |
|
|
|
7 |
p. |
artikel |
13 |
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform
|
Xu, Zhen |
|
|
|
7 |
p. |
artikel |
14 |
Connectome-based machine learning models are vulnerable to subtle data manipulations
|
Rosenblatt, Matthew |
|
|
|
7 |
p. |
artikel |
15 |
Data Ethics Club: Creating a collaborative space to discuss data ethics
|
Di Cara, Nina H. |
|
|
|
7 |
p. |
artikel |
16 |
Deciphering the language of antibodies using self-supervised learning
|
Leem, Jinwoo |
|
|
|
7 |
p. |
artikel |
17 |
DeepND: Deep multitask learning of gene risk for comorbid neurodevelopmental disorders
|
Beyreli, Ilayda |
|
|
|
7 |
p. |
artikel |
18 |
Detecting Asymmetric Patterns and Localizing Cancers on Mammograms
|
Guan, Yuanfang |
|
|
|
7 |
p. |
artikel |
19 |
Developing tools for analyzing and viewing multiplexed images
|
Prabhakaran, Sandhya |
|
|
|
7 |
p. |
artikel |
20 |
DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins
|
Xue, Zhangzhi |
|
|
|
7 |
p. |
artikel |
21 |
Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence
|
D'Ignazio, Catherine |
|
|
|
7 |
p. |
artikel |
22 |
Forecasting coal power plant retirement ages and lock-in with random forest regression
|
Edianto, Achmed |
|
|
|
7 |
p. |
artikel |
23 |
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference
|
Amodio, Matthew |
|
|
|
7 |
p. |
artikel |
24 |
GPT detectors are biased against non-native English writers
|
Liang, Weixin |
|
|
|
7 |
p. |
artikel |
25 |
High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response
|
Moss, Emanuel |
|
|
|
7 |
p. |
artikel |
26 |
Hydrogen storage in MOFs: Machine learning for finding a needle in a haystack
|
Glasby, Lawson T. |
|
|
|
7 |
p. |
artikel |
27 |
Looking back on forward-looking COVID models
|
Chong, Paul |
|
|
|
7 |
p. |
artikel |
28 |
Looking through glass: Knowledge discovery from materials science literature using natural language processing
|
Venugopal, Vineeth |
|
|
|
7 |
p. |
artikel |
29 |
Malicious source code detection using a translation model
|
Tsfaty, Chen |
|
|
|
7 |
p. |
artikel |
30 |
Meet the authors: Daisuke Komura and Shumpei Ishikawa
|
Komura, Daisuke |
|
|
|
7 |
p. |
artikel |
31 |
Mistic: An open-source multiplexed image t-SNE viewer
|
Prabhakaran, Sandhya |
|
|
|
7 |
p. |
artikel |
32 |
Modeling and simulation of a Tamil language encoder for advanced encryption technologies
|
Suthaharan, Shan |
|
|
|
7 |
p. |
artikel |
33 |
Navigating an early career in genomics and data science, written from the perspective of a current PhD student
|
Tooze, Rebecca |
|
|
|
7 |
p. |
artikel |
34 |
Neural algorithmic reasoning
|
Veličković, Petar |
|
|
|
7 |
p. |
artikel |
35 |
Occupational models from 42 million unstructured job postings
|
Dixon, Nile |
|
|
|
7 |
p. |
artikel |
36 |
On the sui generis value capture of new digital technologies: The case of AI
|
Kazim, Emre |
|
|
|
7 |
p. |
artikel |
37 |
On the transparency of large AI models
|
Wang, Wanying |
|
|
|
7 |
p. |
artikel |
38 |
Overcoming the Data Gap for the Remote Diagnosis of Skin Cancer
|
Farajnia, Sahar |
|
|
|
7 |
p. |
artikel |
39 |
Perspectives on incorporating expert feedback into model updates
|
Chen, Valerie |
|
|
|
7 |
p. |
artikel |
40 |
Predicting hydrogen storage in MOFs via machine learning
|
Ahmed, Alauddin |
|
|
|
7 |
p. |
artikel |
41 |
Predicting material microstructure evolution via data-driven machine learning
|
Kautz, Elizabeth J. |
|
|
|
7 |
p. |
artikel |
42 |
Privacy-preserving data sharing via probabilistic modeling
|
Jälkö, Joonas |
|
|
|
7 |
p. |
artikel |
43 |
RaFAH: Host prediction for viruses of Bacteria and Archaea based on protein content
|
Coutinho, Felipe Hernandes |
|
|
|
7 |
p. |
artikel |
44 |
Revisiting the Links-Species Scaling Relationship in Food Webs
|
MacDonald, Arthur Andrew Meahan |
|
|
|
7 |
p. |
artikel |
45 |
Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines
|
Li, Jingyi Jessica |
|
|
|
7 |
p. |
artikel |
46 |
Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases
|
Zhan, Xianghao |
|
|
|
7 |
p. |
artikel |
47 |
Super-compression of large electron microscopy time series by deep compressive sensing learning
|
Zheng, Siming |
|
|
|
7 |
p. |
artikel |
48 |
Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach
|
Hollaway, Michael J. |
|
|
|
7 |
p. |
artikel |
49 |
The heterogeneous driving forces behind carbon emissions change in 30 selective emerging economies
|
Li, Shuping |
|
|
|
7 |
p. |
artikel |
50 |
The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems
|
Weinand, Jann M. |
|
|
|
7 |
p. |
artikel |
51 |
The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems
|
Arnaud, Elizabeth |
|
|
|
7 |
p. |
artikel |
52 |
The path toward equal performance in medical machine learning
|
Petersen, Eike |
|
|
|
7 |
p. |
artikel |
53 |
Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying
|
Lee, Doris Jung-Lin |
|
|
|
7 |
p. |
artikel |
54 |
Toward an idiomatic framework for cognitive robotics
|
Damgaard, Malte Rørmose |
|
|
|
7 |
p. |
artikel |
55 |
Understanding common human driving semantics for autonomous vehicles
|
Xia, Yingji |
|
|
|
7 |
p. |
artikel |
56 |
Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to Women
|
Chandak, Payal |
|
|
|
7 |
p. |
artikel |
57 |
Welcome to the revolution: COVID-19 and the democratization of spatial-temporal data
|
Koch, Tom |
|
|
|
7 |
p. |
artikel |
58 |
Why technical solutions for detecting AI-generated content in research and education are insufficient
|
Otterbacher, Jahna |
|
|
|
7 |
p. |
artikel |
59 |
Why We Need to Bust Some Myths about AI
|
Leufer, Daniel |
|
|
|
7 |
p. |
artikel |