Malik Sajjad Ahmed Nadeem

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 14

Top Topics

Machine Learning

Sentiment Analysis

Top Venues

Traitement du Signal

Comput. Biol. Medicine

Publications

Malik Sajjad Ahmed Nadeem, Muhammad Hammad Waseem, Wajid Aziz, Usman Habib, Anum Masood, Muhammad Attique Khan
Hybridizing Artificial Neural Networks Through Feature Selection Based Supervised Weight Initialization and Traditional Machine Learning Algorithms for Improved Colon Cancer Prediction. IEEE Access 12 (2024)
Madini O. Alassafi, Wajid Aziz, Rayed AlGhamdi, Abdulrahman A. Alshdadi, Malik Sajjad Ahmed Nadeem, Ishtiaq Rasool Khan, Nabeel Albishry, Adel A. Bahaddad, Ali Altalbe
Scale based entropy measures and deep learning methods for analyzing the dynamical characteristics of cardiorespiratory control system in COVID-19 subjects during and after recovery. Comput. Biol. Medicine 170 (2024)
Adil Aslam Mir, Lal Hussain, Muhammad Hammad Waseem, Amjad Aldweesh, Saim Rasheed, El Sayed Yousef, Malik Sajjad Ahmed Nadeem, Elsayed Tag-Eldin
Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option. Appl. Artif. Intell. 36 (1) (2022)
Saquib Khushhal, Abdul Majid, Syed Ali Abbas, Malik Sajjad Ahmed Nadeem, Saeed Arif Shah
Question retrieval using combined queries in community question answering. J. Intell. Inf. Syst. 55 (2) (2020)
Syed Ahsin Ali Shah, Nazneen Habib, Malik Sajjad Ahmed Nadeem, Abdulrahman A. Alshdadi, Mohammed Alqarni, Wajid Aziz
Extraction of Dynamical Information and Classification of Heart Rate Variability Signals Using Scale Based Permutation Entropy Measures. Traitement du Signal 37 (3) (2020)
Maryum Bibi, Wajid Aziz, Majid Almaraashi, Imtiaz Hussain Khan, Malik Sajjad Ahmed Nadeem, Nazneen Habib
A Cooperative Binary-Clustering Framework Based on Majority Voting for Twitter Sentiment Analysis. IEEE Access 8 (2020)
Muhammad Jawad, Malik Sajjad Ahmed Nadeem, Seong-O Shim, Ishtiaq Rasool Khan, Aliya Shaheen, Nazneen Habib, Lal Hussain, Wajid Aziz
Machine Learning Based Cost Effective Electricity Load Forecasting Model Using Correlated Meteorological Parameters. IEEE Access 8 (2020)
Syed Ahsin Ali Shah, Wajid Aziz, Malik Sajjad Ahmed Nadeem, Majid Almaraashi, Seong-O Shim, Turki M. Habeebullah
A Novel Phase Space Reconstruction- (PSR-) Based Predictive Algorithm to Forecast Atmospheric Particulate Matter Concentration. Sci. Program. 2019 (2019)
Lal Hussain, Wajid Aziz, Abdulrahman A. Alshdadi, Malik Sajjad Ahmed Nadeem, Ishtiaq Rasool Khan, Qurat-ul-Ain Aini
Analyzing the Dynamics of Lung Cancer Imaging Data Using Refined Fuzzy Entropy Methods by Extracting Different Features. IEEE Access 7 (2019)
Muhammad Hammad Waseem, Malik Sajjad Ahmed Nadeem, Assad Abbas, Aliya Shaheen, Wajid Aziz, Adeel Anjum, Umar Manzoor, Muhammad A. Balubaid, Seong-O Shim
On the Feature Selection Methods and Reject Option Classifiers for Robust Cancer Prediction. IEEE Access 7 (2019)
Maryum Bibi, Malik Sajjad Ahmed Nadeem, Imtiaz Hussain Khan, Seong-O Shim, Ishtiaq Rasool Khan, Uzma Naqvi, Wajid Aziz
Class Association and Attribute Relevancy Based Imputation Algorithm to Reduce Twitter Data for Optimal Sentiment Analysis. IEEE Access 7 (2019)
Muhammad Rehan Abbas, Malik Sajjad Ahmed Nadeem, Aliya Shaheen, Abdulrahman A. Alshdadi, Riad Alharbey, Seong-O Shim, Wajid Aziz
Accuracy Rejection Normalized-Cost Curves (ARNCCs): A Novel 3-Dimensional Framework for Robust Classification. IEEE Access 7 (2019)
Lal Hussain, Wajid Aziz, Sharjil Saeed, Adnan Idris, Imtiaz Ahmad Awan, Saeed Arif Shah, Malik Sajjad Ahmed Nadeem, Saima Rathore
Spatial Wavelet-Based Coherence and Coupling in EEG Signals With Eye Open and Closed During Resting State. IEEE Access 6 (2018)
Syed Ahsin Ali Shah, Wajid Aziz, Muhammad Arif, Malik Sajjad Ahmed Nadeem
Decision Trees Based Classification of Cardiotocograms Using Bagging Approach. FIT (2015)
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Blaise Hanczar
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option. MLSB (2010)