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Harris Papadopoulos' Publications

PhD Thesis

Edited Book

Edited Volumes (Proceedings)

  1. L.S. Iliadis, I. Maglogiannis and H. Papadopoulos (Eds.) Artificial Intelligence Applications and Innovations, 10th IFIP WG 12.5 International Conference, AIAI 2014, Rhodes, Greece, September 19-21, 2014, Proceedings. IFIP AICT 436. Springer, 2014. DOI: 10.1007/978-3-662-44654-6.

  2. L.S. Iliadis, I. Maglogiannis, H. Papadopoulos, S. Sioutas and C. Makris (Eds.) Artificial Intelligence Applications and Innovations, AIAI 2014 Workshops: CoPA, MHDW, IIVC, and MT4BD, Rhodes, Greece, September 19-21, 2014, Proceedings. IFIP AICT 437. Springer, 2014. DOI: 10.1007/978-3-662-44722-2.

  3. H. Papadopoulos, A.S. Andreou, L.S. Iliadis and I. Maglogiannis (Eds.) Artificial Intelligence Applications and Innovations, 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, September 30-October 2, 2013, Proceedings. IFIP AICT 412. Springer, 2013. DOI: 10.1007/978-3-642-41142-7.

  4. L.S. Iliadis, H. Papadopoulos and C. Jayne (Eds.) Engineering Applications of Neural Networks, 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013, Proceedings, Part I. CCIS 383. Springer, 2013. DOI: 10.1007/978-3-642-41013-0.

  5. L.S. Iliadis, H. Papadopoulos and C. Jayne (Eds.) Engineering Applications of Neural Networks, 14th International Conference, EANN 2013, Halkidiki, Greece, September 13-16, 2013, Proceedings, Part II. CCIS 384. Springer, 2013. DOI: 10.1007/978-3-642-41016-1.

  6. L.S. Iliadis, I. Maglogiannis and H. Papadopoulos (Eds.) Artificial Intelligence Applications and Innovations, 8th IFIP WG 12.5 International Conference, AIAI 2012, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part I. IFIP AICT 381. Springer, 2012. DOI: 10.1007/978-3-642-33409-2.

  7. L.S. Iliadis, I. Maglogiannis, H. Papadopoulos, K. Karatzas and S. Sioutas (Eds.) Artificial Intelligence Applications and Innovations, AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, Halkidiki, Greece, September 27-30, 2012, Proceedings, Part II. IFIP AICT 382. Springer, 2012. DOI: 10.1007/978-3-642-33412-2.

  8. L.S. Iliadis, I. Maglogiannis and H. Papadopoulos (Eds.) Artificial Intelligence Applications and Innovations, EANN 2011, 12th International Conference and AIAI 2011, 7th IFIP WG 12.5 International Conference, Corfu, Greece, September 15-18, 2011, Proceedings, Part II. IFIP AICT 364. Springer, 2011. DOI: 10.1007/978-3-642-23960-1.

  9. H. Papadopoulos, A.S. Andreou and M. Bramer (Eds.) Artificial Intelligence Applications and Innovations, 6th IFIP WG 12.5 International Conference, AIAI 2010, Larnaca, Cyprus, October 6-7, 2010, Proceedings. IFIP AICT 339. Springer, 2010. DOI: 10.1007/978-3-642-16239-8.

Invited Book Chapters

  1. H. Papadopoulos. Inductive Conformal Prediction: Theory and Application to Neural Networks. Tools in Artificial Intelligence, chap. 18, pp. 315-330. I-Tech, Vienna, Austria, 2008.

Refereed Journal Publications

  1. A. Lambrou, I. Nouretdinov and H. Papadopoulos. Inductive Venn Prediction. Annals of Mathematics and Artificial Intelligence. Springer, 2014. DOI: 10.1007/s10472-014-9420-z.

  2. H. Papadopoulos. Reliable Probabilistic Classification with Neural Networks. Neurocomputing. Elsevier, 2012. DOI: 10.1016/j.neucom.2012.07.034.

  3. A. Lambrou, H. Papadopoulos, E. Kyriacou, C.S. Pattichis, M.S. Pattichis, A. Gammerman and A. Nicolaides. Evaluation of the risk of stroke with Confidence Predictions based on ultrasound carotid image analysis. International Journal on Artificial Intelligence Tools (IJAIT) 21(4): 1240016. World Scientific, 2012. DOI: 10.1142/S0218213012400167.

  4. H. Haralambous and H. Papadopoulos. A Neural Network approach for the interpolation of missing foF2 data points. Engineering Intelligent Systems 20(1-2): 37-46. CRL Publishing, 2012.

  5. H. Papadopoulos, V. Vovk and A. Gammerman. Regression Conformal Prediction with Nearest Neighbours. J. Artif. Intell. Res. (JAIR) 40: 815-840. 2011. DOI: 10.1613/jair.3198.

  6. H. Papadopoulos and H. Haralambous. Reliable Prediction Intervals with Regression Neural Networks. Neural Networks 24(8): 842-851. Elsevier, 2011. DOI: 10.1016/j.neunet.2011.05.008.

  7. A. Lambrou, H. Papadopoulos and A. Gammerman. Reliable Confidence Measures for Medical Diagnosis with Evolutionary Algorithms. IEEE Transactions on Information Technology in Biomedicine 15(1): 93-99. IEEE, 2011. DOI: 10.1109/TITB.2010.2091144.

  8. K. Gopalakrishnan and H. Papadopoulos. Reliable Pavement Backcalculation with Confidence Estimation. Scientia Iranica 18(6): 1214-1221. Elsevier, 2011. DOI: 10.1016/j.scient.2011.11.018.

  9. A. Konstantinidis, H. Haralambous, A. Agapitos and H. Papadopoulos. A GP-MOEA/D Approach for Modelling Total Electron Content over Cyprus. Engineering Intelligent Systems 18(3-4): 193-203. CRL Publishing, 2010.

  10. G. Anastassopoulos, D. Mantzaris, L.S. Iliadis, K. Kazakos and H. Papadopoulos. Osteoporosis Risk Factor Estimation Using Artificial Neural Networks. Engineering Intelligent Systems 18(3-4): 205-211. CRL Publishing, 2010.

  11. E. Papatheocharous, H. Papadopoulos and A. S. Andreou. Feature Selection Techniques for Software Cost Modelling and Estimation: A Comparative Approach. Engineering Intelligent Systems 18(3-4): 233-246. CRL Publishing, 2010.

  12. H. Papadopoulos, A. Gammerman and V. Vovk. Reliable Diagnosis of Acute Abdominal Pain with Conformal Prediction. Engineering Intelligent Systems 17(2-3): 127-137. CRL Publishing, 2009.

  13. H. Haralambous and H. Papadopoulos. 24-Hour Neural Network Congestion Models for High-Frequency Broadcast Users. IEEE Transactions on Broadcasting 55(1): 145-154. IEEE Broadcast Technology Society, 2009. DOI: 10.1109/TBC.2009.2013890.

Editorials of Journal Special Issues

  1. H. Papadopoulos, V. Vovk and A. Gammerman (Guest Editors) Special Issue on Conformal Prediction and its Applications, Annals of Mathematics and Artificial Intelligence. Springer, 2014. DOI: 10.1007/s10472-014-9429-3.

  2. L.S. Iliadis, I. Maglogiannis and H. Papadopoulos (Guest Editors) Special Issue on Innovative Intelligent Approaches: Extended papers from the 8th AIAI IFIP Conference, International Journal of Engineering Intelligent Systems 21(2-3). CRL Publishing, 2013.

  3. I. Maglogiannis, L.S. Iliadis and H.Papadopoulos (Guest Editors) Special Issue: Innovative Decision Systems, extended papers from the 12th EANN/7th IFIP AIAI 2011 Joint Conferences, Intelligent Decision Technologies 7(1). IOS Press, 2013. DOI: 10.3233/IDT-120146.

  4. H. Papadopoulos, A.S. Andreou and L.S. Iliadis (Guest Editors) Special Issue on Selected Papers from the 6th IFIP International Conference on Artificial Intelligence Applications & Innovations, International Journal on Artificial Intelligence Tools (IJAIT) 21(4). World Scientific, 2012. DOI: 10.1142/S0218213012020034.

  5. G.L. Zhang, H.R. Ansari, P. Bradley, G.C. Cawley, T. Hertz, X. Hu, N. Jojic, Y. Kim, O. Kohlbacher, O. Lund, C. Lundegaard, C.A. Magaret, M. Nielsen, H. Papadopoulos, G.P.S. Raghava, V.S. Tal, L. Xue, C. Yanover, S. Zhu, M.T. Rock, J.E. Crowe Jr., C. Panayiotou, M.M. Polycarpou, W. Duch and V. Brusic. Machine Learning Competition in Immunology - Prediction of HLA class I molecules, Journal of Immunological Methods 374(1-2): 1-4. Elsevier, 2011. DOI: 10.1016/j.jim.2011.09.010.

  6. L.S. Iliadis, A.S. Andreou and H. Papadopoulos (Guest Editors) Special Issue on Artificial Intelligence Applications and Innovations 2010, Engineering Intelligent Systems 18(3-4). CRL Publishing, 2010.

Papers in Refereed Conference Proceedings

  1. H. Papadopoulos. A Cross-Conformal Predictor for Multi-label Classification. In Proceedings of the 3rd Workshop on Conformal Prediction and its Applications (CoPA 2014), IFIP AICT 437, pp. 241-250. Springer, 2014. DOI: 10.1007/978-3-662-44722-2_26.

  2. H. Papadopoulos and G. Anastassopoulos. Probabilistic Prediction for the Detection of Vesicoureteral Reflux. In Proceedings of the 14th International Conference on Engineering Applications of Neural Networks (EANN 2013), Part I, CCIS 383, pp. 253-262. Springer, 2013. DOI: 10.1007/978-3-642-41013-0_26.

  3. C. Kronis, A. Konstantinidis and H. Papadopoulos. Human-Like Agents for a Smartphone First Person Shooter Game Using Crowdsourced Data. In Proceedings of the 9th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2013), IFIP AICT 412, pp. 161-171. Springer, 2013. DOI: 10.1007/978-3-642-41142-7_17.

  4. H. Haralambous and H. Papadopoulos. Developing an Electron Density Profiler over Europe Based on Space Radio Occultation Measurements. In Proceedings of the 9th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2013), IFIP AICT 412, pp. 172-181. Springer, 2013. DOI: 10.1007/978-3-642-41142-7_18.

  5. A. Lambrou, H. Papadopoulos and A. Gammerman. Osteoporosis Risk Assessment with Well-Calibrated Probabilistic Outputs. In Proceedings of the 2nd Workshop on Conformal Prediction and its Applications (CoPA 2013), IFIP AICT 412, pp. 432-441. Springer, 2013. DOI: 10.1007/978-3-642-41142-7_44.

  6. G. Anastassopoulos, A. Adamopoulos, G. Drosos, K. Kazakos and H. Papadopoulos. Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms. In Proceedings of the 3rd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2013), IFIP AICT 412, pp. 302-310. Springer, 2013. DOI: 10.1007/978-3-642-41142-7_31.

  7. A. Lambrou, H. Papadopoulos and A. Gammerman. Calibrated Probabilistic Predictions for Biomedical Applications. In Proceedings of the 12th IEEE International Conference on BioInformatics and BioEngineering (BIBE 2012), pp. 211-216. IEEE, 2012. DOI: 10.1109/BIBE.2012.6399676.

  8. A. Lambrou, H. Papadopoulos, I. Nouretdinov and A. Gammerman. Reliable Probability Estimates Based on Support Vector Machines for Large Multiclass Datasets. In AIAI 2012 Workshops, IFIP AICT 382, pp. 182-191. Springer, 2012. DOI: 10.1007/978-3-642-33412-2_19.

  9. H. Haralambous and H. Papadopoulos. A Neural Network for Spatial and Temporal Modeling of foF2 Data Based on Satellite Measurements. In Proceedings of the 8th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2012), IFIP AICT 381, pp. 224-233. Springer, 2012. DOI: 10.1007/978-3-642-33409-2_24.

  10. E. Tsolaki, H. Haralambous and H. Papadopoulos. Forecasting Total Electron Content over Cyprus. In Proceedings of the 24th Panhellenic Statistics Conference of the Greek Statistical Institute, 2011.

  11. H. Papadopoulos. Reliable Probabilistic Prediction for Medical Decision Support. In Proceedings of the 7th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2011), IFIP AICT 364, pp. 265-274. Springer, 2011. DOI: 10.1007/978-3-642-23960-1_32.

  12. H. Haralambous, A. Ioannou and H. Papadopoulos. A Neural Network Tool for the Interpolation of foF2 Data in the Presence of Sporadic E Layer. In Proceedings of the 12th International Conference on Engineering Applications of Neural Networks (EANN 2011), IFIP AICT 363, pp. 306-314. Springer, 2011. DOI: 10.1007/978-3-642-23957-1_35.

  13. H. Papadopoulos and H. Haralambous. Reliable Predictive Intervals for the Critical Frequency of the F2 Ionospheric Layer. In Proceedings of the 19th European Conference on Artificial Intelligence (ECAI 2010), Frontiers in Artificial Intelligence and Applications, Vol. 215, pp. 1123-1124. IOS Press, 2010. DOI: 10.3233/978-1-60750-606-5-1123.

  14. H. Papadopoulos and H. Haralambous. Neural Networks Regression Inductive Conformal Predictor and Its Application to Total Electron Content Prediction. In Proceedings of the 20th International Conference on Artificial Neural Networks (ICANN 2010), Part I, LNCS 6352, pp. 32-41. Springer, 2010. DOI: 10.1007/978-3-642-15819-3_4.

  15. A. Lambrou, H. Papadopoulos, E. Kyriacou, C.S. Pattichis, M.S. Pattichis, A. Gammerman, and A. Nicolaides. Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction. In Proceedings of the 6th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2010), IFIP AICT 339, pp. 146-153. Springer, 2010. DOI: 10.1007/978-3-642-16239-8_21.

  16. A. Agapitos, A. Konstantinidis, H. Haralambous and H. Papadopoulos. Evolutionary Prediction of Total Electron Content over Cyprus. In Proceedings of the 6th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2010), IFIP AICT 339, pp. 387-394. Springer, 2010. DOI: 10.1007/978-3-642-16239-8_50.

  17. D. Mantzaris, G. Anastassopoulos, L.S. Iliadis, K. Kazakos, and H. Papadopoulos. A Soft Computing Approach for Osteoporosis Risk Factor Estimation. In Proceedings of the 6th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2010), IFIP AICT 339, pp. 120-127. Springer, 2010. DOI: 10.1007/978-3-642-16239-8_18.

  18. E. Papatheocharous, H. Papadopoulos and A. S. Andreou. Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection. In Proceedings of the 3rd Workshop on Artificial Intelligence Techniques in Software Engineering (AISEW 2010). CoRR abs/1012.5754, 2010.

  19. 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). DOI: 10.1109/ISCCSP.2010.5463306.

  20. 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. DOI: 10.1109/ITAB.2009.5394447.

  21. 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, LNCS 5769, pp. 335-344. Springer, 2009. DOI: 10.1007/978-3-642-04277-5_34.

  22. 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), CCIS 43, pp. 371-377. Springer, 2009.

  23. 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, IFIP International Federation for Information Processing, Vol. 296, pp. 175-184. Springer, 2009. (Full paper acceptance rate: 27%).

  24. 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), CEUR Workshop Proceedings, Vol. 475, pp. 211-220. CEUR WS.org, 2009.

  25. H. Papadopoulos, A. Gammerman and V. Vovk. Normalized Nonconformity Measures for Regression Conformal Prediction. In Proceedings of the IASTED international conference on Artificial Intelligence and Applications 2008 (AIA'08), pp. 64-69. ACTA Press, 2008.

  26. H. Haralambous and H. Papadopoulos. Short-term Forecasting of the Likelihood of Interference to Groundwave Users in the Lowest Part of the HF Spectrum. In Proceedings of the 4th IEEE International Conference on Intelligent Systems (IS'08), Volume II, pp. (17)17-(17)22. IEEE Computer Society, 2008.

  27. H. Haralambous, H. Papadopoulos and L. Economou. Predicting the Diurnal Variation of HF Spectral Occupancy Over Sweden. In Proceedings of the 12th International Ionospheric Effects Symposium (IES 2008), pp. 351-358. Washington, 2008.

  28. H. Papadopoulos, V. Vovk and A. Gammerman. Conformal Prediction with Neural Networks. In 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: 29%).

  29. H. Haralambous, H. Papadopoulos and L. Economou. Using Neural Networks for Predicting the Likelihood of Interference to Groundwave Users in the HF Spectrum. In Proceedings of the 10th International Conference on Engineering Applications of Neural Networks (EANN 2007), pp. 200-209. Thessaloniki, 2007.

  30. H. Haralambous and H. Papadopoulos. Neural Network Prediction of HF Spectral Occupancy. In Proceedings of the 8th Nordic HF Conference (HF 07), pp. 4.4.1-4.4.8. Fårö, Sweden, 2007.

  31. H. Papadopoulos, V. Vovk and A. Gammerman. Qualified Predictions for Large Data Sets in the Case of Pattern Recognition. In Proceedings of the 2002 International Conference on Machine Learning and Applications (ICMLA'02), pp. 159-163. CSREA Press, 2002.

  32. H. Papadopoulos, K. Proedrou, V. Vovk and A. Gammerman. Inductive Confidence Machines for Regression. In Machine Learning: ECML 2002, Proceedings of the 13th European Conference on Machine Learning, LNCS 2430, pp. 345-356. Springer, Berlin, 2002.

Non-refereed Journal Publications

  1. H. Papadopoulos. Qualified Predictions for Large Data Sets. Abstracts of Recent PhDs. The Knowledge Engineering Review, Vol. 24, No. 4, pp. 409. Cambridge University Press, 2009.

  2. H. Papadopoulos. Discussion on Hedging predictions in Machine Learning by Alex Gammerman and Vladimir Vovk. The Computer Journal, Vol. 50, No. 2, pp. 170-171. Oxford University Press, 2007.



Last modified on 12 October 2014