• Publications
  • Influence
Concept Graph Learning from Educational Data
TLDR
This paper addresses an open challenge in educational data mining, i.e., the problem of using observed prerequisite relations among courses to learn a directed universal concept graph, and using the induced graph to predict unobserved prerequisite relations. Expand
  • 50
  • 7
  • PDF
The Good and Not So Good of Enforcing Password Composition Rules
TLDR
We show that the enforcement of password composition rules does not discourage users from using meaningful information in passwords. Expand
  • 32
  • 7
Learning Concept Graphs from Online Educational Data
TLDR
This paper addresses an open challenge in educational data mining, i.e., the problem of automatically mapping online courses from different providers (universities, MOOCs, etc.) onto a universal space of concepts, and predicting latent prerequisite dependencies among both concepts and courses. Expand
  • 30
  • 5
  • PDF
Efficient Structured Matrix Rank Minimization
TLDR
We study the problem of finding structured low-rank matrices using nuclear norm regularization where the structure is encoded by a linear map. Expand
  • 17
  • 5
  • PDF
Password Entropy and Password Quality
TLDR
Passwords are the first line of defense for many computerized systems. Expand
  • 58
  • 3
Investigating the possibility of applying EEG lossy compression to EEG-based user authentication
TLDR
In this paper, we investigate the feasibility of using lossy compression to EEG data in EEG-based user authentication systems. Expand
  • 15
  • 3
EEG-Based User Authentication in Multilevel Security Systems
TLDR
We propose to use EEG to authenticate users in multilevel security systems where users are asked to provide EEG signal for authentication by performing motor imagery tasks. Expand
  • 15
  • 3
A Conceptual Framework for Assessing Password Quality
TLDR
We develop a theoretic framework on measuring password quality – password quality indicator (PQI). Expand
  • 16
  • 3
Fuzzy Subspace Hidden Markov Models for Pattern Recognition
TLDR
This paper presents a novel fuzzy subspace-based approach to hidden Markov model. Expand
  • 5
  • 3
  • PDF
An Overview of Temporal and Modal Logic Programming
TLDR
This paper presents an overview of the development of the field of temporal and modal logic programming, and points out some of the similarities, and the differences, between languages and systems based on diverse temporal andmodal logics. Expand
  • 132
  • 2