Achmadnoer Sukma Wicaksana

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Achmadnoer Sukma Wicaksana trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tadas Baltrusaitis
2. Aaron F. Bobick
3. Ying-li Tian

Who trusts Achmadnoer Sukma Wicaksana overall

1. Cynthia C. S. Liem
2. Quanshi Zhang
3. Markus Langer

Papers from Achmadnoer Sukma Wicaksana's perspective

Ordered by how strongly the researchers Achmadnoer Sukma Wicaksana trusts endorse each paper. Same corpus, a different order for every researcher.

1. A new readability yardstick.
2. Fully convolutional networks for semantic segmentation
3. Pattern Recognition and Machine Learning
4. Representation Learning: A Review and New Perspectives
5. Explaining and Harnessing Adversarial Examples
6. Deep Learning
7. Towards End-To-End Speech Recognition with Recurrent Neural Networks
8. Collective dynamics of ‘small-world’ networks
9. Semantics derived automatically from language corpora contain human-like biases
10. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Their papers

• Human-Explainable Features for Job Candidate Screening Prediction (2017) — 19 citations
• Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening (2018) — 98 citations