Papers
This page contains a list of papers that I have found interested or referenced. The papers are categorised by topic and author.
Note, also check out Paper Stack from dreadnode.io.
| Name | Category | Author |
|---|---|---|
| EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models | Machine Learning Malware Detection Dataset | Hyrum S. Anderson Phil Roth |
| Application of Artificial Intelligence in the Study of Fishing Vessel Behavior | Artificial Intelligence Fishing Vessel Behavior | Xin Cheng Fan Zhang Xinjun Chen Jintao Wang |
| Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art | Adversarial Attacks Malware Detection Survey | Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng Xiang Chen Yaguan Qian Chunming Wu Shouling Ji Tianyue Luo Jingzheng Wu Yanjun Wu |
| Machine learning and deep learning | Machine Learning Deep Learning Fundamentals | Christian Janiesch Patrick Zschech Kai Heinrich |
| CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories | Data Mining Data Science Processes | Fernando Martínez-Plumed Lidia Contreras-Ochando Cèsar Ferri José Hernández-Orallo Meelis Kull Nicolas Lachich |
| DMME: Data mining methodology for engineering applications – a holistic extension to the CRISP-DM model | Data Mining Engineering Applications CRISP-DM | Steffen Huber Hajo Wiemer Dorothea Schneider Steffen Ihlenfeldt |
| A heuristic approach for detection of obfuscated malware | Heuristic Approach Obfuscated Malware Detection | S. Treadwell M. Zhou |
| A survey on heuristic malware detection techniques | Heuristic Malware Detection Survey | Z. Bazrafshan H. Hashemi S.M. Hazrati Fard A. Hamzeh |
| Identifying useful features for malware detection in the Ember dataset | Malware Detection Ember Dataset | Y. Oyama T. Miyashita H. Kokubo |
| A comprehensive review on malware detection approaches | Malware Detection Review | Ö. Aslan R. Samet |
| Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks | NLP Knowledge-Intensive Tasks Retrieval-Augmented Generation | Lewis, P. Perez, E. Piktus, A. Petroni, F. Karpukhin, V. Goyal, N. Küttler, H. Lewis, M. Yih, W. Rocktäschel, T. Riedel, S. Kiela, D. |
| Improving language understanding by generative pre-training | Language Understanding Generative Pre-training | Radford, A. Narasimhan, K. Salimans, T. Sutskever, I. |
| An application of multi-agent simulation to traffic behavior for evacuation in earthquake disaster | Multi-agent Simulation Traffic Behavior Evacuation Planning Disaster Management | Seiichi Kagaya Ken'etsu Uchida Toru Hagiwara |
| ReAct: Synergizing Reasoning and Acting in Language Models | Language Models Reasoning NLP AI Agents | Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao |
| Open-source DeepResearch – Freeing our search agents | Open Source Search Agents NLP AI Agents | Aymeric Roucher Albert Villanova del Moral Merve Noyan Thomas Wolf Clémentine Fourrier |