Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (CS&P, 2012)

Tests for Decision Tables with Many-Valued Decisions - Comparative Study. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (FedCSIS, 2012)

Greedy Algorithms for Construction of Approximate Tests for Decision Tables with Many-Valued Decisions. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Fundam. Informaticae, 2012)

Decision Rules, Trees and Tests for Tables with Many-valued Decisions-comparative Study. - Mohammad Azad; Beata Zielosko; Mikhail Moshkov; Igor Chikalov (KES, 2013)

Three Approaches to Deal with Inconsistent Decision Tables - Comparison of Decision Tree Complexity. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov (RSFDGrC, 2013)

Optimization of Decision Rule Complexity for Decision Tables with Many-Valued Decisions. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov (SMC, 2013)

A Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions - A Comparative Study. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov; Beata Zielosko (Fundam. Informaticae, 2013)

Minimizing Size of Decision Trees for Multi-label Decision Tables. - Mohammad Azad; Mikhail Moshkov (FedCSIS, 2014)

Minimization of decision tree depth for multi-label decision tables. - Mohammad Azad; Mikhail Ju. Moshkov (GrC, 2014)

‘Misclassification Error' Greedy Heuristic to Construct Decision Trees for Inconsistent Decision Tables. - Mohammad Azad; Mikhail Ju. Moshkov (KDIR, 2014)

Minimization of Decision Tree Average Depth for Decision Tables with Many-valued Decisions. - Mohammad Azad; Mikhail Ju. Moshkov (KES, 2014)

Decision Rule Classifiers for Multi-label Decision Tables. - Fawaz Alsolami 001; Mohammad Azad; Igor Chikalov; Mikhail Moshkov (RSEISP, 2014)

Multi-pruning of decision trees for knowledge representation and classification. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov (ACPR, 2015)

Classification and optimization of decision trees for inconsistent decision tables represented as MVD tables. - Mohammad Azad; Mikhail Moshkov (FedCSIS, 2015)

Three Approaches to Deal with Tests for Inconsistent Decision Tables - Comparative Study. - Mohammad Azad; Igor Chikalov; Mikhail Ju. Moshkov; Beata Zielosko (Trans. Rough Sets, 2015)

Classification for Inconsistent Decision Tables. - Mohammad Azad; Mikhail Ju. Moshkov (IJCRS, 2016)

Greedy Algorithm for the Construction of Approximate Decision Rules for Decision Tables with Many-Valued Decisions. - Mohammad Azad; Mikhail Ju. Moshkov; Beata Zielosko (Trans. Rough Sets, 2016)

On Importance of Rows for Decision Tables. - Hassan AbouEisha; Mohammad Azad; Mikhail Moshkov (IJCRS (1), 2017)

Multi-stage optimization of decision and inhibitory trees for decision tables with many-valued decisions. - Mohammad Azad; Mikhail Moshkov (Eur. J. Oper. Res., 2017)

Decision and Inhibitory Trees for Decision Tables with Many-Valued Decisions. - Mohammad Azad (2018)

Decision Trees for Knowledge Representation (short paper). - Mohammad Azad; Igor Chikalov; Mikhail Moshkov (CS&P, 2019)

Experimental Study of Totally Optimal Decision Rules. - Mohammad Azad; Mikhail Moshkov (ICAISC (2), 2019)

Experimental Study of Totally Optimal Decision Trees. - Abdulla Aldilaijan; Mohammad Azad; Mikhail Moshkov (Fundam. Informaticae, 2019)

Representation of Knowledge by Decision Trees for Decision Tables with Multiple Decisions. - Mohammad Azad; Igor Chikalov; Mikhail Moshkov (KES, 2020)

Knowledge Representation Using Decision Trees Constructed Based on Binary Splits. - Mohammad Azad (KSII Trans. Internet Inf. Syst., 2020)

Decision Trees with at Most 19 Vertices for Knowledge Representation. - Mohammad Azad (Trans. Rough Sets, 2020)

Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions - Fawaz Alsolami 001; Mohammad Azad; Igor Chikalov; Mikhail Moshkov (Springer, 2020)

Sorting by Decision Trees with Hypotheses (extended abstract). - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov (CS&P, 2021)

Minimizing Number of Nodes in Decision Trees with Hypotheses. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov (KES, 2021)

Minimizing Depth of Decision Trees with Hypotheses. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov (IJCRS, 2021)

Maximum Entropy Markov Model for Human Activity Recognition Using Depth Camera. - Ibrahim Alrashdi; Muhammad Hameed Siddiqi; Yousef Alhwaiti; Madallah Alruwaili; Mohammad Azad (IEEE Access, 2021)

Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov (Entropy, 2021)

Decision Rules Derived from Optimal Decision Trees with Hypotheses. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov; Beata Zielosko (Entropy, 2021)

Greedy Algorithms for Decision Trees with Hypotheses. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov; Beata Zielosko (CoRR, 2022)

Decision Trees with Hypotheses for Recognition of Monotone Boolean Functions and for Sorting. - Mohammad Azad; Igor Chikalov; Shahid Hussain 004; Mikhail Moshkov; Beata Zielosko (CoRR, 2022)

A Health Monitoring System Using IoT-Based Android Mobile Application. - Madallah Alruwaili; Muhammad Hameed Siddiqi; Kamran Farid; Mohammad Azad; Saad Awadh Alanazi; Asfandyar Khan; Abdullah Khan (Comput. Syst. Sci. Eng., 2023)

Applications of Depth Minimization of Decision Trees Containing Hypotheses for Multiple-Value Decision Tables. - Mohammad Azad; Mikhail Moshkov (Entropy, 2023)

XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations. - Mohammad Azad; Md Faraz Kabir Khan; Sameh Abd El-Ghany (IEEE Access, 2025)

A novel ensemble learning method using majority based voting of multiple selective decision trees. - Mohammad Azad; Tasnemul Hasan Nehal; Mikhail Moshkov (Computing, 2025)