Professor Mo Saraee
Professor Mo Saraee
Chair in Data Science, Head of Computer Science & Software Engineering Dept, University of Salford
Verified email at - Homepage
Cited by
Cited by
Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews
A Bagheri, M Saraee, F De Jong
Knowledge-Based Systems 52, 201-213, 2013
Case-control study of stroke and the quality of hypertension control in north west England
X Du, K Cruickshank, R McNamee, M Saraee, J Sourbutts, A Summers, ...
Bmj 314 (7076), 272, 1997
ADM-LDA: An aspect detection model based on topic modelling using the structure of review sentences
A Bagheri, M Saraee, F De Jong
Journal of Information Science 40 (5), 621-636, 2014
An unsupervised aspect detection model for sentiment analysis of reviews
A Bagheri, M Saraee, F de Jong
Natural Language Processing and Information Systems: 18th International …, 2013
A novel framework for intelligent surveillance system based on abnormal human activity detection in academic environments
M Al-Nawashi, OM Al-Hazaimeh, M Saraee
Neural Computing and Applications 28, 565-572, 2017
Identification of disease-causing genes using microarray data mining and Gene Ontology
A Mohammadi, MH Saraee, M Salehi
BMC medical genomics 4, 1-9, 2011
A survey on utilization of data mining approaches for dermatological (skin) diseases prediction
E Barati, MH Saraee, A Mohammadi, N Adibi, MR Ahmadzadeh
Journal of Selected Areas in Health Informatics (JSHI) 2 (3), 2011
Effective pixel classification of mars images based on ant colony optimization feature selection and extreme learning machine
A Rashno, B Nazari, S Sadri, M Saraee
Neurocomputing 226, 66-79, 2017
Feature selection methods in Persian sentiment analysis
M Saraee, A Bagheri
Natural Language Processing and Information Systems: 18th International …, 2013
Sentiment classification in Persian: Introducing a mutual information-based method for feature selection
A Bagheri, M Saraee, F de Jong
2013 21st Iranian conference on electrical engineering (ICEE), 1-6, 2013
A data mining approach to analysis and prediction of movie ratings
M Saraee, S White, J Eccleston
WIT Transactions on information and communication technologies 33, 2004
A state-of-the-art survey on semantic web mining
QK Quboa, M Saraee
Scientific Research Publishing, 2013
A new unsupervised feature selection method for text clustering based on genetic algorithms
P Shamsinejadbabki, M Saraee
Journal of Intelligent Information Systems 38, 669-684, 2012
Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification
JS Sartakhti, H Afrabandpey, M Saraee
Soft Computing 21, 4361-4373, 2017
Time-sensitive influence maximization in social networks
A Mohammadi, M Saraee, A Mirzaei
Journal of Information Science 41 (6), 765-778, 2015
Knowledge discovery in temporal databases
MH Saraee, B Theodoulidis
IET Digital Library, 1995
Using T3, an improved decision tree classifier, for mining stroke-related medical data
C Tjortjis, M Saraee, B Theodoulidis, JA Keane
Methods of information in medicine 46 (05), 523-529, 2007
A hybrid recommender system for dynamic web users
S Nadi, MH Saraee, A Bagheri
International Journal Multimedia and Image Processing (IJMIP) 1 (1), 3-8, 2011
A novel feature selection method for text classification using association rules and clustering
N Sheydaei, M Saraee, A Shahgholian
Journal of Information Science 41 (1), 3-15, 2015
A new color based method for skin detection using RGB vector space
MM Aznaveh, H Mirzaei, E Roshan, M Saraee
2008 Conference on Human System Interactions, 932-935, 2008
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