Nicolaos B. Karayiannis

Publication Activity (10 Years)

Years Active: 1987-2010
Publications (10 Years): 0

Publications

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)
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)
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) (2006)
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) (2006)
Nicolaos B. Karayiannis, Sreekanth Nadella
Power-conserving routing of ad hoc mobile wireless networks based on entropy-constrained algorithms. Ad Hoc Networks 4 (1) (2006)
Nicolaos B. Karayiannis, S. M. Nagabhushan Kaliyur
An entropy-constrained algorithm for routing of communication networks. Comput. Commun. 29 (16) (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. Eng. 53 (4) (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)
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) (2006)
Mandar P. Deolalikar, Nicolaos B. Karayiannis
Image codec for efficient embedded bitstream transmission with low decoder complexity. J. Electronic Imaging 15 (1) (2006)
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) (2005)
Nicolaos B. Karayiannis, Jackrit Chookiarti
Directly estimated adaptive detectors for code-division multiple-access signals. IEEE Trans. Commun. 53 (2) (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 Trans. Image Process. 14 (7) (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) (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)
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) (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. Eng. 52 (4) (2005)
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) (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. Eng. 52 (6) (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) (2005)
Nicolaos B. Karayiannis, Jackrit Chookiarti
Indirectly estimated adaptive detectors for code-division multiple-access signals. IEEE Trans. Signal Process. 52 (10) (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)
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) (2004)
Ralf Kretzschmar, Nicolaos B. Karayiannis, Hans Richner
Removal of bird-contaminated wind profiler data based on neural networks. Pattern Recognit. 36 (11) (2003)
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)
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) (2003)
Nicolaos B. Karayiannis, Mary M. Randolph-Gips
Non-Euclidean c-means clustering algorithms. Intell. Data Anal. 7 (5) (2003)
Nicolaos B. Karayiannis, Guozhi Tao
Improving the Extraction of Temporal Motion Strength Signals from Video Recordings of Neonatal Seizures. AVSS (2003)
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) (2003)
Mary M. Randolph-Gips, Nicolaos B. Karayiannis
Reformulated radial basis function neural networks with adjustable weighted norms. Int. J. Intell. Syst. 18 (10) (2003)
Nicolaos B. Karayiannis
Advancing videometry through applications: quantification of neonatal seizures from video recordings. DSP (2002)
Nicolaos B. Karayiannis, Jackrit Chookiarti
Indirectly estimated multiuser detectors for code-division multiple-access signals and their adaptive implementation. DSP (2002)
Nicolaos B. Karayiannis, Jackrit Chookiarti
Directly estimated multiuser detectors for code-division multiple-access signals and their adaptive implementation. DSP (2002)
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) (2001)
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) (2001)
Nicolaos B. Karayiannis
Soft learning vector quantization and clustering algorithms based on ordered weighted aggregation operators. IEEE Trans. Neural Networks Learn. Syst. 11 (5) (2000)
Nicolaos B. Karayiannis
Generalized fuzzy c-means algorithms. J. Intell. Fuzzy Syst. 8 (1) (2000)
Nicolaos B. Karayiannis, Zhiying Liu
Split and merge codebook design algorithms for image compression. J. Electronic Imaging 9 (4) (2000)
Nicolaos B. Karayiannis, Mary M. Randolph-Gips
Reformulated Radial Basis Neural Networks with Adjustable Weighted Norms. IJCNN (3) (2000)
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)
Nicolaos B. Karayiannis, Nicholas Zervos
Entropy-constrained learning vector quantization algorithms and their application in image compression. J. Electronic Imaging 9 (4) (2000)
Nicolaos B. Karayiannis
New Developments in the Theory and Training of Reformulated Radial Basis Neural Networks. IJCNN (3) (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)
Nicolaos B. Karayiannis
An axiomatic approach to soft learning vector quantization and clustering. IEEE Trans. Neural Networks 10 (5) (1999)
Nicolaos B. Karayiannis
Reformulated radial basis neural networks trained by gradient descent. IEEE Trans. Neural Networks 10 (3) (1999)
Nicolaos B. Karayiannis
Reformulating Learning Vector Quantization and Radial Basis Neural Networks. Fundam. Informaticae 37 (1-2) (1999)
Nicolaos B. Karayiannis, Pin-I Pai
Segmentation of Magnetic Resonance Images Using Fuzzy Algorithms for Learning Vector Quantization. IEEE Trans. Medical Imaging 18 (2) (1999)
Ted C. Wang, Nicolaos B. Karayiannis
Detection of Microcalcifications in Digital Mammograms Using Wavelets. IEEE Trans. Medical Imaging 17 (4) (1998)
Sven Behnke, Nicolaos B. Karayiannis
Competitive neural trees for pattern classification. IEEE Trans. Neural Networks 9 (6) (1998)
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) (1998)
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) (1997)
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) (1997)
Nicolaos B. Karayiannis, Glenn Weiqun Mi
Growing radial basis neural networks. ICNN (1997)
Nicolaos B. Karayiannis
A methodology for constructing fuzzy algorithms for learning vector quantization. IEEE Trans. Neural Networks 8 (3) (1997)
Nicolaos B. Karayiannis
Fuzzy Partition Entropies and Entropy Constrained Fuzzy Clustering Algorithms. J. Intell. Fuzzy Syst. 5 (2) (1997)
Nicolaos B. Karayiannis
Gradient descent learning of radial basis neural networks. ICNN (1997)
Gopathy Purushothaman, Nicolaos B. Karayiannis
Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks. IEEE Trans. Neural Networks 8 (3) (1997)
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) (1996)
Gopathy Purushothaman, Nicolaos B. Karayiannis
Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks. ICNN (1996)
Nicolaos B. Karayiannis
Weighted fuzzy learning vector quantization and weighted fuzzy c-means algorithms. ICNN (1996)
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) (1996)
Sven Behnke, Nicolaos B. Karayiannis
CNeT: competitive neural trees for pattern classification. ICNN (1996)
Nicolaos B. Karayiannis, Pin-I Pai
Fuzzy algorithms for learning vector quantization. IEEE Trans. Neural Networks 7 (5) (1996)
Nicolaos B. Karayiannis, Pin-I Pai
Fuzzy vector quantization algorithms and their application in image compression. IEEE Trans. Image Process. 4 (9) (1995)
Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos
Decision making using neural networks. Neurocomputing 6 (3) (1994)
Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos
Efficient learning algorithms for neural networks (ELEANNE). IEEE Trans. Syst. Man Cybern. 23 (5) (1993)
Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos
On the performance of single-layered neural networks. Biol. Cybern. 68 (1) (1992)
Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos
Image interpolation based on variational principles. Signal Process. 25 (3) (1991)
Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos
Regularization theory in image restoration-the stabilizing functional approach. IEEE Trans. Acoust. Speech Signal Process. 38 (7) (1990)
Nicolaos B. Karayiannis, Anastasios N. Venetsanopoulos
The correlational associative memory realizes Hebbian learning. Neural Networks 1 (Supplement-1) (1988)
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) (1987)