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H. Papadopoulos, A. Gammerman and V. Vovk. Reliable Diagnosis of Acute Abdominal Pain with Conformal Prediction. In International Journal of Engineering Intelligent Systems, CRL Publishing. To Appear, 2010.
H. Haralambous, P. Vrionides, L. Economou and H. Papadopoulos. A local Total Electron Content Neural Network model over Cyprus. In Proceedings of the 4th International Symposium on Communications, Control, and Signal Processing (ISCCSP 2010). To Appear in March 2010.
A. Lambrou, H. Papadopoulos and A. Gammerman. Evolutionary Conformal Prediction for Breast Cancer Diagnosis. In Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine (ITAB 2009). IEEE, 2009.
H. Papadopoulos and H. Haralambous. Predicting the Occupancy of the HF Amateur Service with Neural Network Ensembles. In Proceedings of the 19th International Conference on Artificial Neural Networks (ICANN 2009), Part II, Volume 5769 of Lecture Notes in Computer Science, pp. 335-344. Springer, 2009.
H. Haralambous and H. Papadopoulos. A Neural Network Model for the Critical Frequency of the F2 Ionospheric Layer Over Cyprus. In Proceedings of the 11th International Conference on Engineering Applications of Neural Networks (EANN 2009), Volume 43 of Communications in Computer and Information Science, pp. 371-377. Springer, 2009.
H. Papadopoulos, E. Papatheocharous and A. S. Andreou. Reliable Confidence Intervals for Software Effort Estimation. In Proceedings of the 2nd Workshop on Artificial Intelligence Techniques in Software Engineering (AISEW 2009), Volume 475 of CEUR Workshop Proceedings. CEUR WS.org, 2009.
H. Papadopoulos, A. Gammerman and V. Vovk. Confidence Predictions for the Diagnosis of Acute Abdominal Pain. In L. Iliadis, I. Vlahavas and M. Bramer (Eds.), Artificial Intelligence Applications & Innovations III, Volume 296 of IFIP International Federation for Information Processing, pp. 175-184. Springer, 2009. (Full paper acceptance rate: 27%).
H. Haralambous and H. Papadopoulos. 24-Hour Neural Network Congestion Models for High-Frequency Broadcast Users. IEEE Transactions on Broadcasting, Vol. 55, No. 1, pp. 145-154. IEEE Broadcast Technology Society, 2009.
H. Haralambous and H. Papadopoulos. Short-term Forecasting of the Likelihood of Interference to Groundwave Users in the Lowest Part of the HF Spectrum. Proceedings of the 4th IEEE International Conference on Intelligent Systems (IS'08), Volume II, pp. (17)17-(17)22. IEEE Computer Society, 2008.
H. Papadopoulos. Inductive Conformal Prediction: Theory and Application to Neural Networks. Invited book chapter in Tools in Artificial Intelligence, chap. 18, pp. 315-330. I-Tech, Vienna, Austria, 2008.
H. Haralambous, H. Papadopoulos and L. Economou. Predicting the Diurnal Variation of HF Spectral Occupancy Over Sweden. Proceedings of the 12th International Ionospheric Effects Symposium (IES 2008).
H. Papadopoulos, A. Gammerman and V. Vovk. Normalized Nonconformity Measures for Regression Conformal Prediction. Proceedings of the IASTED international conference on Artificial Intelligence and Applications 2008 (AIA'08), pp. 64-69. ACTA Press, 2008.
H. Papadopoulos, V. Vovk and A. Gammerman. Conformal Prediction with Neural Networks. Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'07), Volume II, pp. 388-395. IEEE Computer Society, 2007. (Acceptance Rate: 28%).
H. Haralambous, H. Papadopoulos and L. Economou. Using Neural Networks for Predicting the Likelihood of Interference to Groundwave Users in the HF Spectrum. Proceedings of the 10th International Conference on Engineering Applications of Neural Networks (EANN 2007), pp. 200-209. Thessaloniki, 2007.
H. Haralambous and H. Papadopoulos. Neural Network Prediction of HF Spectral Occupancy. Proceedings of the 8th Nordic HF Conference (HF 07). Fårö, Sweden, 2007.
H. Papadopoulos. Discussion on Hedging predictions in Machine Learning by Alex Gammerman and Vladimir Vovk. The Computer Journal, Volume 50, Oxford University Press, 2007.
H. Papadopoulos, V. Vovk and A. Gammerman. Qualified Predictions for Large Data Sets in the Case of Pattern Recognition. Proceedings of the 2002 International Conference on Machine Learning and Applications (ICMLA'02), pp. 159-163. CSREA Press, 2002.
H. Papadopoulos, K. Proedrou, V. Vovk and A. Gammerman. Inductive Confidence Machines for Regression. Machine Learning: ECML 2002, Proceedings of the 13th European Conference on Machine Learning, Volume 2430 of Lecture Notes in Computer Science, pp. 345-356. Springer, Berlin, 2002.