| 2008 |
|---|
| 20 | EE | Mircea Gh. Negoita,
Lukás Sekanina,
Adrian Stoica:
Adaptive and Evolvable Hardware and Systems: The State of the Art and the Prospectus for Future Development.
KES (3) 2008: 310-318 |
| 19 | EE | Mircea Gh. Negoita,
Tughrul Arslan:
Adaptive hardware/evolvable hardware - The state of the art and the prospectus for future development.
KES Journal 12(3): 183-185 (2008) |
| 2005 |
|---|
| 18 | EE | Mircea Gh. Negoita:
Artificial Immune Systems-An Emergent Technology for Autonomous Intelligent Systems and Data Mining.
AIS-ADM 2005: 19-36 |
| 17 | EE | Robert J. Howlett,
Mircea Gh. Negoita:
Special Issue: Selected papers from the KES2004 conference.
KES Journal 9(4): 261 (2005) |
| 2004 |
|---|
| 16 | | Mircea Gh. Negoita,
Robert J. Howlett,
Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004. Proceedings. Part I
Springer 2004 |
| 15 | | Mircea Gh. Negoita,
Robert J. Howlett,
Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004. Proceedings. Part II
Springer 2004 |
| 14 | | Mircea Gh. Negoita,
Robert J. Howlett,
Lakhmi C. Jain:
Knowledge-Based Intelligent Information and Engineering Systems, 8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004. Proceedings. Part III
Springer 2004 |
| 13 | EE | David Pritchard,
Mircea Gh. Negoita:
A Fuzzy-Ga Hybrid Technique for Optimization of Teaching Sequences Presented in ITSs.
Fuzzy Days 2004: 311-316 |
| 12 | EE | Mircea Gh. Negoita,
David Pritchard:
Developing a "Virtual Student" Model to Test the Tutor and Optimizer Agents in an ITS.
KES 2004: 240-252 |
| 11 | EE | Mircea Gh. Negoita,
David Pritchard:
An Optimiser Agent that Empowers an ITS System to "on-the-fly" Modify Its Teaching Strategies.
KES 2004: 914-921 |
| 2003 |
|---|
| 10 | | Mircea Gh. Negoita,
David Pritchard:
Testing Intelligent Tutoring System.
ICMLA 2003: 98-104 |
| 9 | EE | Dragos Arotaritei,
Mircea Gh. Negoita:
An Optimization of Data Mining Algorithms Used in Fuzzy Association Rules.
KES 2003: 980-985 |
| 8 | EE | Mircea Gh. Negoita,
David Pritchard:
Some Test Problems Regarding Intelligent Tutoring Systems.
KES 2003: 986-992 |
| 2002 |
|---|
| 7 | EE | Dragos Arotaritei,
Mircea Gh. Negoita:
Optimization of Recurrent NN by GA with Variable Length Genotype.
Australian Joint Conference on Artificial Intelligence 2002: 681-692 |
| 2000 |
|---|
| 6 | EE | Mircea Gh. Negoita:
Book Review: Data Mining Methods for Knowledge Discovery by K. Cios, W. Pedrycz and R. Swiniarski.
SIGKDD Explorations 1(2): 118-119 (2000) |
| 1997 |
|---|
| 5 | | Mircea Gh. Negoita,
Adrian Horia Dediu,
Dan Mihaila:
Design Elements of EHW Using GA with Local Improvement of Chromosomes.
Fuzzy Days 1997: 604 |
| 4 | EE | Adriana Dumitras,
V. Lazarescu,
Mircea Gh. Negoita:
Learning as a multi-objective optimization in feedforward neural networks.
KES (2) 1997: 588-593 |
| 1995 |
|---|
| 3 | EE | Mircea Gh. Negoita,
Marius Giuclea:
GA to Optimize Approximate Solutions of Fuzzy Relational Equations for Fuzzy Systems or Controllers.
ANNES 1995: 124-127 |
| 2 | EE | Florin Fagarasan,
Mircea Gh. Negoita:
A Genetic-Based Method for Learning the Parameters of a Fuzzy Inference System.
ANNES 1995: 223-226 |
| 1994 |
|---|
| 1 | EE | Mircea Gh. Negoita:
Fuzzy logic real-time intelligent control of fuel injection engines.
SAC 1994: 110-114 |
