• Publications
  • Influence
Human Facial Expression Recognition Using Stepwise Linear Discriminant Analysis and Hidden Conditional Random Fields
TLDR
This paper introduces an accurate and robust facial expression recognition (FER) system based on stepwise linear discriminant analysis (SWLDA) and a hierarchical recognition strategy. Expand
  • 112
  • 6
  • PDF
Model-based adaptive user interface based on context and user experience evaluation
TLDR
In this paper, we proposed a domain and device-independent model-based adaptive user interfacing methodology. Expand
  • 33
  • 3
  • PDF
Semi-supervised learning using frequent itemset and ensemble learning for SMS classification
TLDR
We have used semi-supervised learning with the help of frequent itemset and ensemble learning to classify SMS data into ham and spam.We have obtained good results on very low amount of positive dataset and different amount of unlabeled dataset. Expand
  • 42
  • 2
Multimodal hybrid reasoning methodology for personalized wellbeing services
TLDR
A wellness system provides wellbeing recommendations to support experts in promoting a healthier lifestyle and inducing individuals to adopt healthy habits. Expand
  • 23
  • 2
Accurate multi-criteria decision making methodology for recommending machine learning algorithm
TLDR
We present an accurate multi-criteria decision making methodology (AMD) which empirically evaluates and ranks classifiers' and allow end users or experts to choose the top ranked classifier for their applications to learn and build classification models for them. Expand
  • 28
  • 1
Video-Based Human Activity Recognition Using Multilevel Wavelet Decomposition and Stepwise Linear Discriminant Analysis
TLDR
We propose a robust and an accurate activity recognition system called WS-HAR that consists of wavelet transform coupled with stepwise linear discriminant analysis (SWLDA) followed by hidden Markov model (HMM). Expand
  • 28
  • 1
  • PDF
H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus
TLDR
This paper proposes a novel hybrid rough set reasoning model (H2RM) that resolves problems of inaccurate prediction and management of type-1 diabetes mellitus (T1DM) and type-2 diabetes melliton (T2DM). Expand
  • 24
  • 1
  • PDF
Prediction of Diabetes Mellitus Based on Boosting Ensemble Modeling
TLDR
We propose the ensemble of AdaboostM1 with random committee to predict the diabetes types from patients personal and clinical data. Expand
  • 14
  • 1
A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules
TLDR
Data-driven knowledge acquisition is one of the key research fields in data mining. Expand
  • 8
  • 1
  • PDF
KARE: a hybrid reasoning approach for promoting active lifestyle
TLDR
This study is focused on the development of a hybrid reasoning engine called KARE (knowledge acquisition and reasoning engine) which is the core reasoning module of ATHENA (activity-awareness for human-engaged wellness applications) platform for promoting active lifestyle. Expand
  • 6
  • 1