Nicolaos B. Karayiannis

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

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)

Nicolaos B. Karayiannis, S. M. Nagabhushan Kaliyur: An entropy-constrained algorithm for routing of communication networks. Computer Communications 29(16): 3182-3196 (2006)

Nicolaos B. Karayiannis, Guozhi Tao: An improved procedure for the extraction of temporal motion strength signals from video recordings of neonatal seizures. Image Vision Comput. 24(1): 27-40 (2006)

Mandar P. Deolalikar, Nicolaos B. Karayiannis: Image codec for efficient embedded bitstream transmission with low decoder complexity. J. Electronic Imaging 15(1): 013006 (2006)

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)

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. Engineering 53(4): 633-641 (2006)

Nicolaos B. Karayiannis, Yaohua Xiong: Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in Data Classification. IEEE Transactions on Neural Networks 17(5): 1222-1234 (2006)

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

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

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)

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)

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)

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. Engineering 52(4): 676-686 (2005)

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. Engineering 52(4): 747-749 (2005)

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. Engineering 52(6): 1065-1077 (2005)

Nicolaos B. Karayiannis, Jackrit Chookiarti: Directly estimated adaptive detectors for code-division multiple-access signals. IEEE Transactions on Communications 53(2): 356-365 (2005)

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 Transactions on Image Processing 14(7): 890-903 (2005)

Nicolaos B. Karayiannis, Mary M. Randolph-Gips: Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: single-norm algorithms. IEEE Transactions on Neural Networks 16(2): 423-435 (2005)

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

Nicolaos B. Karayiannis, Jackrit Chookiarti: Indirectly estimated adaptive detectors for code-division multiple-access signals. IEEE Transactions on Signal Processing 52(10): 2677-2689 (2004)

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

Nicolaos B. Karayiannis, Mary M. Randolph-Gips: Non-Euclidean c-means clustering algorithms. Intell. Data Anal. 7(5): 405-425 (2003)

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)

Ralf Kretzschmar, Nicolaos B. Karayiannis, Hans Richner: Removal of bird-contaminated wind profiler data based on neural networks. Pattern Recognition 36(11): 2699-2712 (2003)

Nicolaos B. Karayiannis, Mary M. Randolph-Gips: Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: multinorm algorithms. IEEE Transactions on Neural Networks 14(1): 89-102 (2003)

Nicolaos B. Karayiannis, Mary M. Randolph-Gips: On the construction and training of reformulated radial basis function neural networks. IEEE Transactions on Neural Networks 14(4): 835-846 (2003)

Nicolaos B. Karayiannis, Guozhi Tao: Improving the Extraction of Temporal Motion Strength Signals from Video Recordings of Neonatal Seizures. AVSS 2003: 87-92

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

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 Techn. 11(5): 658-663 (2001)

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. Med. Imaging 20(9): 965-980 (2001)

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)

Nicolaos B. Karayiannis, Zhiying Liu: Split and merge codebook design algorithms for image compression. J. Electronic Imaging 9(4): 509-520 (2000)

Nicolaos B. Karayiannis: Generalized fuzzy c-means algorithms. Journal of Intelligent and Fuzzy Systems 8(1): 63-81 (2000)

Nicolaos B. Karayiannis: Soft learning vector quantization and clustering algorithms based on ordered weighted aggregation operators. IEEE Trans. Neural Netw. Learning Syst. 11(5): 1093-1105 (2000)

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

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

Nicolaos B. Karayiannis, Mary M. Randolph-Gips: Reformulated Radial Basis Neural Networks with Adjustable Weighted Norms. IJCNN (3) 2000: 608-613

Nicolaos B. Karayiannis: New Developments in the Theory and Training of Reformulated Radial Basis Neural Networks. IJCNN (3) 2000: 614-619

Nicolaos B. Karayiannis: Reformulating Learning Vector Quantization and Radial Basis Neural Networks. Fundam. Inform. 37(1-2): 137-175 (1999)

Nicolaos B. Karayiannis, Pin-I Pai: Segmentation of Magnetic Resonance Images Using Fuzzy Algorithms for Learning Vector Quantization. IEEE Trans. Med. Imaging 18(2): 172-180 (1999)

Nicolaos B. Karayiannis: Reformulated radial basis neural networks trained by gradient descent. IEEE Transactions on Neural Networks 10(3): 657-671 (1999)

Nicolaos B. Karayiannis: An axiomatic approach to soft learning vector quantization and clustering. IEEE Transactions on Neural Networks 10(5): 1153-1165 (1999)

Nicolaos B. Karayiannis, Pin-I Pai, Nicholas Zervos: Image compression based on fuzzy algorithms for learning vector quantization and wavelet image decomposition. IEEE Transactions on Image Processing 7(8): 1223-1230 (1998)

Ted C. Wang, Nicolaos B. Karayiannis: Detection of Microcalcifications in Digital Mammograms Using Wavelets. IEEE Trans. Med. Imaging 17(4): 498-509 (1998)

Sven Behnke, Nicolaos B. Karayiannis: Competitive neural trees for pattern classification. IEEE Transactions on Neural Networks 9(6): 1352-1369 (1998)

Nicolaos B. Karayiannis, James C. Bezdek: An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering. IEEE T. Fuzzy Systems 5(4): 622-628 (1997)

Nicolaos B. Karayiannis: A methodology for constructing fuzzy algorithms for learning vector quantization. IEEE Trans. Neural Netw. Learning Syst. 8(3): 505-518 (1997)

Gopathy Purushothaman, Nicolaos B. Karayiannis: Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks. IEEE Trans. Neural Netw. Learning Syst. 8(3): 679-693 (1997)

Nicolaos B. Karayiannis, Glenn Weiqun Mi: Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques. IEEE Trans. Neural Netw. Learning Syst. 8(6): 1492-1506 (1997)

Nicolaos B. Karayiannis: Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal representations. IEEE Trans. Neural Netw. Learning Syst. 7(2): 419-426 (1996)

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 Netw. Learning Syst. 7(5): 1062-1071 (1996)

Nicolaos B. Karayiannis, Pin-I Pai: Fuzzy algorithms for learning vector quantization. IEEE Trans. Neural Netw. Learning Syst. 7(5): 1196-1211 (1996)

Nicolaos B. Karayiannis, Pin-I Pai: Fuzzy vector quantization algorithms and their application in image compression. IEEE Transactions on Image Processing 4(9): 1193-1201 (1995)

Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos: Decision making using neural networks. Neurocomputing 6(3): 363-374 (1994)

Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos: Efficient learning algorithms for neural networks (ELEANNE). IEEE Transactions on Systems, Man, and Cybernetics 23(5): 1372-1383 (1993)

Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos: On the performance of single-layered neural networks. Biological Cybernetics 68(1): 31-41 (1992)