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ORCIDNicolaos B. Karayiannis
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2010 – 2019
- 2010
[c19]Il Mo Jung, Nicolaos B. Karayiannis, Steven Pei, Driss Benhaddou:
The cross-layer adaptation of TCP-Friendly rate control to 3G wireless links. CSNDSP 2010: 283-288
2000 – 2009
- 2006
- [j52]Nicolaos B. Karayiannis, Sreekanth Nadella:
Power-conserving routing of ad hoc mobile wireless networks based on entropy-constrained algorithms. Ad Hoc Networks 4(1): 24-35 (2006) - [j51]Nicolaos B. Karayiannis, S. M. Nagabhushan Kaliyur:
An entropy-constrained algorithm for routing of communication networks. Comput. Commun. 29(16): 3182-3196 (2006) - [j50]Nicolaos B. Karayiannis, Guozhi Tao:
An improved procedure for the extraction of temporal motion strength signals from video recordings of neonatal seizures. Image Vis. Comput. 24(1): 27-40 (2006) - [j49]Mandar P. Deolalikar, Nicolaos B. Karayiannis:
Image codec for efficient embedded bitstream transmission with low decoder complexity. J. Electronic Imaging 15(1): 013006 (2006) - [j48]Nicolaos B. Karayiannis, Amit Mukherjee, John R. Glover, James D. Frost Jr., Richard A. Hrachovy, Eli M. Mizrahi:
An evaluation of quantum neural networks in the detection of epileptic seizures in the neonatal electroencephalogram. Soft Comput. 10(4): 382-396 (2006) - [j47]Nicolaos B. Karayiannis, Amit Mukherjee, John R. Glover, Periklis Y. Ktonas, James D. Frost Jr., Richard A. Hrachovy, Eli M. Mizrahi:
Detection of pseudosinusoidal epileptic seizure segments in the neonatal EEG by cascading a rule-based algorithm with a neural network. IEEE Trans. Biomed. Eng. 53(4): 633-641 (2006) - [j46]Nicolaos B. Karayiannis, Yaohua Xiong:
Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in Data Classification. IEEE Trans. Neural Networks 17(5): 1222-1234 (2006) - [c18]Il Mo Jung, Nicolaos B. Karayiannis, Steven Pei:
Improving TCP-Friendly Rate Control in Wired and Wireless Networks By a Scheme Based on Wireless Signal Strength. ICNS 2006: 20 - [c17]Yaohua Xiong, Nicolaos B. Karayiannis:
Automated recognition of videotaped neonatal seizures using robust motion tracking methods that adjust to illumination and contrast changes. ISBI 2006: 1300-1303 - 2005
- [j45]Nicolaos B. Karayiannis, Mahesh Balasubramanian, Heidar A. Malki:
Short-term electric power load forecasting based on cosine radial basis function neural networks: An experimental evaluation. Int. J. Intell. Syst. 20(6): 591-605 (2005) - [j44]Ralf Kretzschmar, Nicolaos B. Karayiannis, Fritz Eggimann:
Feedforward neural network models for handling class overlap and class imbalance. Int. J. Neural Syst. 15(5): 323-338 (2005) - [j43]Jose I. Canelon, Leang-San Shieh, Nicolaos B. Karayiannis:
A new approach for neural control of nonlinear discrete dynamic systems. Inf. Sci. 174(3-4): 177-196 (2005) - [j42]Nicolaos B. Karayiannis, Abdul Sami, James D. Frost Jr., Merrill S. Wise, Eli M. Mizrahi:
Automated extraction of temporal motor activity signals from video recordings of neonatal seizures based on adaptive block matching. IEEE Trans. Biomed. Eng. 52(4): 676-686 (2005) - [j41]Nicolaos B. Karayiannis, Yaohua Xiong, James D. Frost Jr., Merrill S. Wise, Eli M. Mizrahi:
Improving the accuracy and reliability of motion tracking methods used for extracting temporal motor activity signals from video recordings of neonatal seizures. IEEE Trans. Biomed. Eng. 52(4): 747-749 (2005) - [j40]Nicolaos B. Karayiannis, Yaohua Xiong, James D. Frost Jr., Merrill S. Wise, Eli M. Mizrahi:
Quantifying motion in video recordings of neonatal seizures by robust motion trackers based on block motion models. IEEE Trans. Biomed. Eng. 52(6): 1065-1077 (2005) - [j39]Nicolaos B. Karayiannis, Jackrit Chookiarti:
Directly estimated adaptive detectors for code-division multiple-access signals. IEEE Trans. Commun. 53(2): 356-365 (2005) - [j38]Nicolaos B. Karayiannis, B. Varughese, Guozhi Tao, James D. Frost Jr., Merrill S. Wise, Eli M. Mizrahi:
Quantifying motion in video recordings of neonatal seizures by regularized optical flow methods. IEEE Trans. Image Process. 14(7): 890-903 (2005) - [j37]Nicolaos B. Karayiannis, Mary M. Randolph-Gips:
Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: single-norm algorithms. IEEE Trans. Neural Networks 16(2): 423-435 (2005) - [c16]Nicolaos B. Karayiannis, Yaohua Xiong:
Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in the Recognition of Videotaped Neonatal Seizures. CIBCB 2005: 447-454 - 2004
- [j36]Heidar A. Malki, Nicolaos B. Karayiannis, Mahesh Balasubramanian:
Short-term electric power load forecasting using feedforward neural networks. Expert Syst. J. Knowl. Eng. 21(3): 157-167 (2004) - [j35]Nicolaos B. Karayiannis, Jackrit Chookiarti:
Indirectly estimated adaptive detectors for code-division multiple-access signals. IEEE Trans. Signal Process. 52(10): 2677-2689 (2004) - [c15]Abdul Sami, Nicolaos B. Karayiannis, James D. Frost Jr., Merrill S. Wise, Eli M. Mizrahi:
Automated Tracking of Multiple Body Parts in Video Recordings of Neonatal Seizures. ISBI 2004: 312-315 - 2003
- [j34]Nicolaos B. Karayiannis, Mary M. Randolph-Gips:
Non-Euclidean c-means clustering algorithms. Intell. Data Anal. 7(5): 405-425 (2003) - [j33]Mary M. Randolph-Gips, Nicolaos B. Karayiannis:
Reformulated radial basis function neural networks with adjustable weighted norms. Int. J. Intell. Syst. 18(10): 1065-1085 (2003) - [j32]Ralf Kretzschmar, Nicolaos B. Karayiannis, Hans Richner:
Removal of bird-contaminated wind profiler data based on neural networks. Pattern Recognit. 36(11): 2699-2712 (2003) - [j31]Nicolaos B. Karayiannis, Mary M. Randolph-Gips:
Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: multinorm algorithms. IEEE Trans. Neural Networks 14(1): 89-102 (2003) - [j30]Nicolaos B. Karayiannis, Mary M. Randolph-Gips:
On the construction and training of reformulated radial basis function neural networks. IEEE Trans. Neural Networks 14(4): 835-846 (2003) - [c14]Nicolaos B. Karayiannis, Guozhi Tao:
Improving the Extraction of Temporal Motion Strength Signals from Video Recordings of Neonatal Seizures. AVSS 2003: 87-92 - [c13]Nicolaos B. Karayiannis, Abdul Sami:
Application of Adaptive Block Matching in the Extraction of Temporal Motor Activity Signals from Video Recordings of Neonatal Seizures. AVSS 2003: 93-98 - 2002
- [c12]Nicolaos B. Karayiannis:
Advancing videometry through applications: quantification of neonatal seizures from video recordings. DSP 2002: 11-21 - [c11]Nicolaos B. Karayiannis, Jackrit Chookiarti:
Indirectly estimated multiuser detectors for code-division multiple-access signals and their adaptive implementation. DSP 2002: 37-40 - [c10]Nicolaos B. Karayiannis, Jackrit Chookiarti:
Directly estimated multiuser detectors for code-division multiple-access signals and their adaptive implementation. DSP 2002: 631-634 - 2001
- [j29]Nicolaos B. Karayiannis, Yiding Li:
A replenishment technique for low bit-rate video compression based on wavelets and vector quantization. IEEE Trans. Circuits Syst. Video Technol. 11(5): 658-663 (2001) - [j28]Nicolaos B. Karayiannis, Seshadri Srinivasan, Rishi Bhattacharya, Merrill S. Wise, James D. Frost Jr., Eli M. Mizrahi:
Extraction of Motion Strength and Motor Activity Signals from Video Recordings of Neonatal Seizures. IEEE Trans. Medical Imaging 20(9): 965-980 (2001) - 2000
- [j27]Nicolaos B. Karayiannis, Nicholas Zervos:
Entropy-constrained learning vector quantization algorithms and their application in image compression. J. Electronic Imaging 9(4): 495-508 (2000) - [j26]Nicolaos B. Karayiannis, Zhiying Liu:
Split and merge codebook design algorithms for image compression. J. Electronic Imaging 9(4): 509-520 (2000) - [j25]Nicolaos B. Karayiannis:
Generalized fuzzy c-means algorithms. J. Intell. Fuzzy Syst. 8(1): 63-81 (2000) - [j24]Nicolaos B. Karayiannis:
Soft learning vector quantization and clustering algorithms based on ordered weighted aggregation operators. IEEE Trans. Neural Networks Learn. Syst. 11(5): 1093-1105 (2000) - [c9]Ralf Kretzschmar, Hans Richner, Nicolaos B. Karayiannis:
A Comparison of Feature Sets and Neural Network Classifiers on a Bird Removal Approach for Wind Profiler Data. IJCNN (2) 2000: 279-284 - [c8]Ralf Kretzschmar, Hans Richner, Nicolaos B. Karayiannis:
NEURO-BRA: A Bird Removal Approach for Wind Profiler Data Based on Quantum Neural Networks. IJCNN (4) 2000: 373-378 - [c7]Nicolaos B. Karayiannis, Mary M. Randolph-Gips:
Reformulated Radial Basis Neural Networks with Adjustable Weighted Norms. IJCNN (3) 2000: 608-613 - [c6]Nicolaos B. Karayiannis:
New Developments in the Theory and Training of Reformulated Radial Basis Neural Networks. IJCNN (3) 2000: 614-619
1990 – 1999
- 1999
- [j23]Nicolaos B. Karayiannis:
Reformulating Learning Vector Quantization and Radial Basis Neural Networks. Fundam. Informaticae 37(1-2): 137-175 (1999) - [j22]Nicolaos B. Karayiannis, Pin-I Pai:
Segmentation of Magnetic Resonance Images Using Fuzzy Algorithms for Learning Vector Quantization. IEEE Trans. Medical Imaging 18(2): 172-180 (1999) - [j21]Nicolaos B. Karayiannis:
Reformulated radial basis neural networks trained by gradient descent. IEEE Trans. Neural Networks 10(3): 657-671 (1999) - [j20]Nicolaos B. Karayiannis:
An axiomatic approach to soft learning vector quantization and clustering. IEEE Trans. Neural Networks 10(5): 1153-1165 (1999) - 1998
- [j19]Nicolaos B. Karayiannis, Pin-I Pai, Nicholas Zervos:
Image compression based on fuzzy algorithms for learning vector quantization and wavelet image decomposition. IEEE Trans. Image Process. 7(8): 1223-1230 (1998) - [j18]Ted C. Wang, Nicolaos B. Karayiannis:
Detection of Microcalcifications in Digital Mammograms Using Wavelets. IEEE Trans. Medical Imaging 17(4): 498-509 (1998) - [j17]Sven Behnke
, Nicolaos B. Karayiannis:
Competitive neural trees for pattern classification. IEEE Trans. Neural Networks 9(6): 1352-1369 (1998) - 1997
- [j16]Nicolaos B. Karayiannis:
Fuzzy Partition Entropies and Entropy Constrained Fuzzy Clustering Algorithms. J. Intell. Fuzzy Syst. 5(2): 103-111 (1997) - [j15]Nicolaos B. Karayiannis, James C. Bezdek:
An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering. IEEE Trans. Fuzzy Syst. 5(4): 622-628 (1997) - [j14]Nicolaos B. Karayiannis:
A methodology for constructing fuzzy algorithms for learning vector quantization. IEEE Trans. Neural Networks 8(3): 505-518 (1997) - [j13]Gopathy Purushothaman, Nicolaos B. Karayiannis:
Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks. IEEE Trans. Neural Networks 8(3): 679-693 (1997) - [j12]Nicolaos B. Karayiannis, Glenn Weiqun Mi:
Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques. IEEE Trans. Neural Networks 8(6): 1492-1506 (1997) - [c5]Nicolaos B. Karayiannis, Glenn Weiqun Mi:
Growing radial basis neural networks. ICNN 1997: 1406-1411 - [c4]Nicolaos B. Karayiannis:
Gradient descent learning of radial basis neural networks. ICNN 1997: 1815-1820 - 1996
- [j11]Nicolaos B. Karayiannis:
Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal representations. IEEE Trans. Neural Networks 7(2): 419-426 (1996) - [j10]Nicolaos B. Karayiannis, James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, Pin-I Pai:
Repairs to GLVQ: a new family of competitive learning schemes. IEEE Trans. Neural Networks 7(5): 1062-1071 (1996) - [j9]Nicolaos B. Karayiannis, Pin-I Pai:
Fuzzy algorithms for learning vector quantization. IEEE Trans. Neural Networks 7(5): 1196-1211 (1996) - [c3]Nicolaos B. Karayiannis:
Weighted fuzzy learning vector quantization and weighted fuzzy c-means algorithms. ICNN 1996: 1044-1049 - [c2]Gopathy Purushothaman, Nicolaos B. Karayiannis:
Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks. ICNN 1996: 1085-1090 - [c1]Sven Behnke, Nicolaos B. Karayiannis:
CNeT: competitive neural trees for pattern classification. ICNN 1996: 1439-1444 - 1995
- [j8]Nicolaos B. Karayiannis, Pin-I Pai:
Fuzzy vector quantization algorithms and their application in image compression. IEEE Trans. Image Process. 4(9): 1193-1201 (1995) - 1994
- [j7]Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
Decision making using neural networks. Neurocomputing 6(3): 363-374 (1994) - 1993
- [b1]Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
Artificial neural networks - learning algorithms, performance evaluation, and applications. The Kluwer international series in engineering and computer science 209, Kluwer 1993, ISBN 978-0-7923-9297-2, pp. I-XII, 1-440 - [j6]Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
Efficient learning algorithms for neural networks (ELEANNE). IEEE Trans. Syst. Man Cybern. 23(5): 1372-1383 (1993) - 1992
- [j5]Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
On the performance of single-layered neural networks. Biol. Cybern. 68(1): 31-41 (1992) - 1991
- [j4]Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
Image interpolation based on variational principles. Signal Process. 25(3): 259-288 (1991) - 1990
- [j3]Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
Regularization theory in image restoration-the stabilizing functional approach. IEEE Trans. Acoust. Speech Signal Process. 38(7): 1155-1179 (1990)
1980 – 1989
- 1988
- [j2]Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
The correlational associative memory realizes Hebbian learning. Neural Networks 1(Supplement-1): 187 (1988) - 1987
- [j1]Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos:
Comments on "Two-dimensional interpolation by generalized spline filters based on partial differential equation image models". IEEE Trans. Acoust. Speech Signal Process. 35(12): 1778-1779 (1987)
Coauthor Index
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