Roberto Jordaney

Signal Processing · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 24 citations into it
• Computer Networks and Communications — 19 citations into it
• Software — 10 citations into it
• Information Systems — 8 citations into it

Whom Roberto Jordaney trusts overall

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

1. Daniel Arp
2. Mia Hubert
3. Martina Lindorfer
4. Konrad Rieck
5. Radford M. Neal
6. Mansour Ahmadi
7. Hugo Gascón
8. Ellen Vandervieren
9. Giorgio Giacinto
10. Michael Spreitzenbarth

Who trusts Roberto Jordaney overall

1. Feargus Pendlebury
2. Fabio Pierazzi

Papers from Roberto Jordaney's perspective

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

1. Scikit-learn: Machine Learning in Python
2. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
3. Deep Learning
4. DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket
5. Structural detection of android malware using embedded call graphs
6. Pattern Recognition and Machine Learning
7. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
8. ImageNet classification with deep convolutional neural networks
9. Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning (Pattern Recognition)
10. Unbiased look at dataset bias

Their papers

• TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (2018) — 474 citations
• Transcend: Detecting Concept Drift in Malware Classification Models (2017) — 337 citations