Adeli H, Panakkat A (2009) A probabilistic neural network for earthquake magnitude prediction. Neural Netw 22:1018–1024
Aha DW, Kibler D, Albert MK (1991) Instance-based learning algorithms. Mach Learn 6(1):37–66
Akkar S, Glavatovic B (2010) Harmonization of seismic hazard maps for the western Balkan countries. Technical report, Science for Peace and Security Programme (NATO)
Alarifi ASN, Alarifi NSN, Al-Humidan S (2012) Earthquakes magnitude predication using artificial neural network in northern Red Sea area. J King Saud Univ Sci 24:301–313
Allen CR (1982) Responsibilities in earthquake prediction. Bull Seismol Soc Am 66:2069–2074
Asencio-Cortés G, Martínez-Álvarez F, Morales-Esteban A, Reyes J (2016) A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction. Knowl-Based Syst 101:15–30
Asencio-Cortés G, Martínez-Álvarez F, Troncoso A, Morales-Esteban A (2015) Medium–large earthquake magnitude prediction in tokyo with artificial neural networks. Neural Comput Applic pp. 1–13
Ben-Zion Y, Lyakhovsky V (2002) Accelerated seismic release and related aspects of seismicitypatterns on earthquake faults. Pure Appl Geophys 159:2385–2412
Chen S, Jiang C, Zhuang J (2016) Statistical Evaluation of Efficiency and Possibility of Earthquake Predictions with Gravity Field Variation and its Analytic Signal in Western China. Pure Appl Geophys 173:305–319
Chang C-C, Lin C-J (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):27
Evison FF, Rhoades DA (1997) The precursory earthquake swarm in New Zealand: hypothesis tests II. J Geol Geophys 40:537–547
Friedman N, Geiger D, Goldszmidt M (1997) Bayesian network classifiers. Mach Lear 29(2-3):131–163
Gutenberg B, Richter CF (1944) Frequency of earthquakes in California. Bull Seismol Soc Am 34:185–188
Huang Q (2006) Search for reliable precursors: a case study of the seismic quiescence of the 2000 western Tottori prefecture earthquake. J Geophys Res 11:B04301
Ikram A, Qamar U (2014) A rule-based expert system for earthquake prediction. J Intell Inf Syst 43 (2):205–230
Ikram A, Qamar U (2015) Developing an expert system based on as sociation rules and predicate logic for earthquake prediction. Knowl-Based Syst, (75):pp. 87–103
Jordan TH, Jones LM (2010) Operational earthquake forecasting: some thoughts on why and how. Seismol Res Lett 81(4):571–574
Markušic S (2008) Seismicity of Croatia. NATO Science Series IV: Earth and Environmental Sciences 81:81–98
Markušic S, Herak M (1999) Seismic Zoning of Croatia. Nat Hazards 18:169–285
Martínez-Álvarez F, Reyes J, Morales-Esteban A, Rubio-Escudero C (2013) Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile And the iberian peninsula. Knowl-Based Syst 50:198–210
Martínez-Álvarez F, Troncoso A, Morales-Esteban A, Riquelme JC (2011) Computational intelligence techniques for predicting earthquakes. Lect Notes Artif Intell 6679(2):287–294
Matsuzawa T, Igarashi T, Hasegawa AA (2002) Characteristic small-earthquake sequence off Sanriku, northeastern Honshu, Japan. Geophys Res Lett 29(11):1543–147
Matthews BW (1975) Comparison of the predicted and observed secondary structure of T4 phage lysozyme. Biochim Biophys Acta Protein Struct 405:442–451
McCulloch WS, Pitts W (1943) A logical calulus of ideas immanent in nervous activity. Bull Math Biophys 5:115–133
Morales-Esteban A, Scitovski S, Scitovski R (2014) A fast partitioning algorithm using adaptive mahalanobis clustering with application to seismic zoning. Comput Geosci 73:132–141
Morales-Esteban A, Martínez-Álvarez F, Reyes J (2013) Earthquake prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence. Tectonophysics 593:121–134
Morales-Esteban A, Martínez-Álvarez F, Troncoso A, de Justo JL, Rubio-Escudero C (2010) Pattern recognition to forecast seismic time series. Expert Syst Appl 37(12):8333–8342
Ogata Y (1988) Statistical models for earthquake occurrences and residual analysis for point processes. J Am Stat Assoc 83(401):8–27
Panakkat A, Adeli H (2007) Neural network models for earthquake magnitude prediction using multiple seismicity indicators. Int J Neural Syst 17(1):13–33
Reyes J, Morales-Esteban A, Martínez-Álvarez F. (2013) Neural networks to predict earthquakes in Chile. Appl Soft Comput 13(2):1314–1328
Salzberg SL (1994) C4. 5: Programs for machine learning. Mach Learn 16(3):235–240
Sobolev GA (2007) On applicability of the RTL prognostic algorithms and energy estimation to Sakhalin seismicity. J Volcanol Seismol 1:198–211
Vere-jones D (2006) The development of statistical seismology: a personal experience. Tectonophysics 413:5–12
Yin C, Mora P (2006) Stress reorientation and LURR: implication for earthquake predictionusing LURR. Pure Appl Geophys 163:2363–2373
Yin C, Xing HL, Mora P, Xu HH (2008) Earthquake trend around Sumatra indicated by a new implementation of LURR method. Pure Appl Geophys 165:723–736
Zamani A, Sorbi MR, Safavi (2013) Application of neural network and ANFIS model for earthquake occurrence in Iran. Earth Sci Inform 6(2):71–85
Zechar JD, Jordan TH (2010) Simple smoothed seismicity earthquake forecasts for Italy. Ann Geophys 53(3):99–105