Aleksandra Mojsilovic
Artificial Intelligence · 2012–2021
A researcher in the Science corpus: 12 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 129 citations into it
- Computer Vision and Pattern Recognition — 44 citations into it
- Safety Research — 34 citations into it
- AI Ethics, Fairness & Society — 24 citations into it
- Information Systems — 12 citations into it
- Information Systems and Management — 9 citations into it
- Social Sciences & Humanities — 5 citations into it
Whom Aleksandra Mojsilovic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Aleksandra Mojsilovic overall
Papers from Aleksandra Mojsilovic's perspective
Ordered by how strongly the researchers Aleksandra Mojsilovic trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- This PDF file includes: Materials and Methods
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Understanding Unequal Gender Classification Accuracy from Face Images (2018) — 53 citations
- FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019) — 370 citations
- Increasing Trust in AI Services through Supplier's Declarations of Conformity (2018) — 136 citations
- An Analytics Approach for Proactively Combating Voluntary Attrition of Employees (2012) — 28 citations
- Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations (2021) — 398 citations
- AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019) — 755 citations
- One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques (2019) — 478 citations
- TED: Teaching AI to Explain its Decisions (2018) — 115 citations
- FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity. (2018) — 7 citations
- PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences (2018) — 69 citations
- AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018) — 944 citations
- From Open Data Ecosystems to Systems of Innovation : A Journey to Realize the Promise of Open Data (2015)