Peng Liu - Böcker

Quantitative Trading Strategies Using Python

Technical Analysis, Statistical Testing, and Machine Learning

Computational Advertising

Market and Technologies for Internet Commercial Monetization

Trusted Recovery and Defensive Information Warfare

Educational Leadership and Asian Culture

Culturally Sensitive Leadership Practice

Educational Leadership and Asian Culture

Culturally Sensitive Leadership Practice

Computational Advertising

Market and Technologies for Internet Commercial Monetization

Understanding Teacher Leadership in Educational Change

An International Perspective

Male Idols and Branding in Chinese Luxury

Fashion, Cosmetics, and Popular Culture

Cyber Situational Awareness

Issues and Research

Trusted Recovery and Defensive Information Warfare

Cyber Situational Awareness

Issues and Research

Bayesian Optimization

Theory and Practice Using Python

Adversarial and Uncertain Reasoning for Adaptive Cyber Defense

Control- and Game-Theoretic Approaches to Cyber Security

Quantitative Risk Management in Agricultural Business

Educational Leadership Preparation and Development

An international and future focused perspective

Theory and Models for Cyber Situation Awareness

Graphical Models for Security

4th International Workshop, GraMSec 2017, Santa Barbara, CA, USA, August 21, 2017, Revised Selected Papers

Data and Applications Security XX

20th Annual IFIP WG 11.3 Working Conference on Data and Applications Security, Sophia Antipolis, France, July 31-August 2, 2006, Proceedings

Information Security and Cryptology

4th International Conference, Inscrypt 2008, Beijing, China, December 14-17, 2008, Revised Selected Papers

Transforming Turnaround Schools in China

Approaches, Challenges and Achievements

Transforming Turnaround Schools in China

Approaches, Challenges and Achievements

Proceedings of the 16th International Conference on Modelling, Identification and Control (ICMIC2024)

Turnaround Leadership in Southeast Asian Countries

Leading School Transformation

Machine Learning Contests: A Guidebook

Quantitative Risk Management Using Python

An Essential Guide for Managing Market, Credit, and Model Risk