 | 2009 |
|---|
| 11 |       | Mansoor Zolghadri Jahromi,
Elham Parvinnia,
Robert John:
A method of learning weighted similarity function to improve the performance of nearest neighbor.
Inf. Sci. 179(17): 2964-2973 (2009) |
| 10 | | Behrooz Nasihatkon,
Reza Boostani,
Mansoor Zolghadri Jahromi:
An efficient hybrid linear and kernel CSP approach for EEG feature extraction.
Neurocomputing 73(1-3): 432-437 (2009) |
| 2008 |
|---|
| 9 | | Ali Borji,
Mansoor Zolghadri Jahromi:
Evolving Weighting Functions for Query Expansion Based on Relevance Feedback.
APWeb 2008: 233-238 |
| 8 | | Mansoor Zolghadri Jahromi,
M. Taheri:
A proposed method for learning rule weights in fuzzy rule-based classification systems.
Fuzzy Sets and Systems 159(4): 449-459 (2008) |
| 7 | | Seyyed Mostafa Fakhrahmad,
M. H. Sadreddini,
Mansoor Zolghadri Jahromi:
AD-Miner: A new incremental method for discovery of minimal approximate dependencies using logical operations.
Intell. Data Anal. 12(6): 607-619 (2008) |
| 6 | | Seyyed Mostafa Fakhrahmad,
Mansoor Zolghadri Jahromi:
Constructing accurate fuzzy classifiers: A new adaptive method for rule-weight specification.
KES Journal 12(2): 115-120 (2008) |
| 2007 |
|---|
| 5 | | Seyyed Mostafa Fakhrahmad,
Mansoor Zolghadri Jahromi:
Constructing Accurate Fuzzy Classification Systems: A New Approach Using Weighted Fuzzy Rules.
CGIV 2007: 408-413 |
| 4 | | Seyyed Mostafa Fakhrahmad,
Mansoor Zolghadri Jahromi,
M. H. Sadreddini:
Mining Frequent Itemsets in Large Data Warehouses: A Novel Approach Proposed for Sparse Data Sets.
IDEAL 2007: 517-526 |
| 3 | | Seyyed Mostafa Fakhrahmad,
A. Zare,
Mansoor Zolghadri Jahromi:
Constructing Accurate Fuzzy Rule-Based Classification Systems Using Apriori Principles and Rule-Weighting.
IDEAL 2007: 547-556 |
| 2 | | Omid Dehzangi,
Mansoor Zolghadri Jahromi,
Shahram Taheri:
High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface.
PRIB 2007: 378-390 |
| 1 |  | Seyyed Mostafa Fakhrahmad,
M. H. Sadreddini,
Mansoor Zolghadri Jahromi:
IQPI: An Incremental System for Answering Imprecise Queries Using Approximate Dependencies and Concept Similarities.
World Congress on Engineering 2007: 311-316 |
