Publications

Refereed Articles published (in ISI-indexed journals)

1. J Noel, C Monterola, DS Tan, "Improving recommendation diversity without retraining from scratch." International Journal of Data Science and Analytics, 2024. https://doi.org/10.1007/s41060-024-00518-9

2. MP Liponhay, A Valerio, C Monterola, "Time-delayed causal network analysis of meteorological variables and air pollutants in Baguio city," Journal of Atmospheric Pollution Research, 102095, 2024.

3. M Dorosan, D Dailisan, JF Valenzuela, C Monterola, "Use of machine learning in understanding transport dynamics of land use and public transportation in a developing city," Cities 144, 104587, 2024.

4. M Liponhay, A Valerio, G Fornan, C Alis, C Monterola, "Dynamic Assessment of Urban Carrying Capacity Load Number Using the Enhanced UCCLN Model," Sustainability 16 (1), 35, 2023.

5.  M Liponhay, JF Valenzuela, M Dorosan, D Dailisan, C Monterola, "A Dynamic Urban Mobility Index from Clustering of Vehicle Speeds in a Tourist-Heavy City," Applied Sciences 13 (23), 12763, 2023.

6. S Ibañez, C Monterola, "A Global Forecasting Approach to Large-Scale Crop Production Prediction with Time Series Transformers," Agriculture 13 (9), 1855, 2023.

7. PJ Javier, MP Liponhay, CV Dajac, C Monterola, "Causal network inference in a dam system and its implications on feature selection for machine learning forecasting," Physica A: Statistical Mechanics and its Applications 604, 127893, 2022.

8. HE Tan, J Hong Wen Oon, NB Othman, EF Legara, C Monterola, et al.,  "Quantifying the resilience of rapid transit systems: A composite index using a demand-weighted complex network model," PLoS one 17 (4), e0267222, 2022.

9. D Dailisan, M Liponhay, C Alis, C Monterola, "Amenity counts significantly improve water consumption predictions," Plos one 17 (3), e0265771, 2022.

10. JF Valenzuela, EF Legara, C Monterola, "Typology, network features and damage response in worldwide urban road systems," PLoS one 17 (3), e0264546, 2022.

11. S Ibañez, CV Dajac, M Liponhay, EF Legara, C Monterola, "Forecasting reservoir water levels using deep neural networks: A case study of Angat Dam in the Philippines," Water 14 (1), 34, 2021.

12. C Alis, EF Legara, C Monterola, "Generalized radiation model for human migration," Scientific Reports 11 (1), 22707, 2021.

13. K Goswami, C Giarmatzi, C Monterola, S Shrapnel, J Romero, F Costa, "Experimental characterization of a non-Markovian quantum process," Physical Review A 104 (2), 022432, 2021.

14. X Zhong, Y Lu, Q Gao, MSZ Nyunt, T Fulop, C Monterola, et al., "Estimating biological age in the Singapore longitudinal aging study," The Journals of Gerontology: Series A 75 (10), 1913-1920, 2020.

15. B Yang, S Ren, EF Legara, Z Li, YX Ong, L Lin, and C Monterola, "Phase Transition in Taxi Dynamics and Impact of Ridesharing," Transportation Science 54, Issue 1, 2020.

16. JF Valenzuela, C Monterola, JC Tong, T Fülöp, TP Ng, A Larbi, "Degree and centrality-based approaches in network-based variable selection: Insights from the Singapore Longitudinal Aging Study," PloS one 14, Issue 7, 2019.

17. X Zhong, Y Lu, Q Gao, MSZ Nyunt, T Fulop, C Monterola, JC Tong, A Larbi, TP Ng, "Estimating biological age in the Singapore longitudinal aging study," The Journals of Gerontology: Series A 75, Issue 10, 2019.

18. J Sun, R Zhang, L Feng, C Monterola, X Ma, C Rozenblat, HE Stanley, B Podobnik, and Y Hu, "Extreme risk induced by communities in interdependent networks," Communication Physics 2, Issue 1, 2019.

19. A Presbitero and C Monterola, Challenging the Evolution of Social Cooperation in a Community Governed by Central Control, Physica A: Statistical Mechanics and its Applications 511, 378-388, 2018. keywords: Game theory, Central Control, Emergence of cooperation, Prisoner’s dilemma

20. EF Legara and C Monterola, Inferring Passenger Types from Commuter Eigentravel Matrices, Transportmetrica B: Transport Dynamics 6 (3), 230-250, 2018. keywords: human mobility, travel pattern recognition, activity pattern recognition, automated fare collection, machine learning

21. N Hu, J Zhong, JT Zhou, S Zhou, W Cai, and C Monterola, Guide them through: An automatic crowd control framework using multi-objective genetic programming, Applied Soft Computing 66, 90-103, 2018. keywords: Crowd modeling and simulation, Crowd control, Genetic programming, Multi-objective optimization

22. HN Huynh, E Makarov, EF Legara, C Monterola, and LY Chew, Characterisation and comparison of spatial patterns in urban systems: A case study of US cities, Journal of Computational Science 24, 34-43, 2018. keywords: urban morphology, spatial point pattern, buffer radius, cluster, percolation, geometry

23. MA Ramli, V Jayaraman, KH Chee, TK Heong, GLK Khoon, and C Monterola, Improved estimation of commuter waiting times using headway and commuter boarding information, Physica A: Statistical Mechanics and its Applications 501, 217-226, 2018. https://doi.org/10.1016/j.physa.2017.12.022. keywords: public bus operations, average commuter waiting time, headway, bus arrival reliability

24. B. Yang and C. Monterola, A simple distributed algorithm for lightless intersection control based on non-linear interactions between vehicles, 2017 IEEE Proceeding of International Conference on Intelligent Transportation Systems (ITSC), 2017 doi: 10.1109/ITSC.2017.8317587.

25. JF Valenzuela, C Monterola, VJC Tong, TP Ng, A Larbi, Health, and disease phenotyping in old age using a cluster network analysis, Scientific Reports 7(1), 15608, 2017. keywords: complex networks, diagnostic markers, network topology

26. M Sijuan, F Ling, C Monterola, HL Choy, Importance of small degree nodes in the assortative network with degree-weight correlations, Phys. Rev. E 96, 042308 – Published 20 October 2017. keywords: assortative network, degree-weight correlations, network science

27. B Yang and C Monterola, Efficient intersection control for minimally guided vehicles: A self-organized and decentralized approach, Transportation Research Part C: Emerging Technologies 72, pp. 283-305, 2016. keywords: Urban intersection control; Lightless intersection control; Intelligent transportation system; Traffic modelling and simulations

28. J Pang and C Monterola*, Dendritic growth model of multilevel marketing, Communications in Nonlinear Science and Numerical Simulation 43, pp. 100–110, 2017. keywords: dendritic networks, multilevel marketing, balancing factor, Pareto principle

29. N Hu, EF Legara, GG Hung, KK Lee, and C Monterola*, Impacts of land use and amenities on public transport use, urban planning and design, Land Use Policy 57, pp. 356–367, 2016. keywords: land-use, transport, urban planning, urban design, LUTM

30. B Yang, X Xinhua, ZF Pang, C Monterola, Cluster Statistics and Quasisoliton Dynamics in Microscopic Optimal Velocity Models, Physical Review E 93: 042212, 2016. keywords: optimal velocity model, traffic, quasi-soliton dynamics

31. HY Xu, G  Li, EF Legara, SH  Kuo, D Zhao and C Monterola*, [PDF] Generalized cross entropy method for estimating joint distribution from incomplete information, Physica A 453,   Pages 162–172,  July 2016. keywords: Maximum entropy, Minimum discrimination information, Joint distribution, KL

32. MA Ramli*, V Jayaraman, C Monterola, et al., Impact of Commuter Fluctuations on the Headway Regularity of Public Buses in Singapore, Sigma Journal of Engineering and Natural Sciences, 2016. keywords: Commuter waiting time, regularity, public bus, headway

33. C Monterola*, EF Legara, P Di, KK Lee, GG Hung, Non-invasive procedure to probe the route choices of commuters in rail transit systems, Procedia Computer Science 80,  2016, pp. 2387–2391. (Proceedings of International Conference on Computational Science 2016), keywords: Route choices, Rail transit systems, Travel time distribution, Gumbel distribution, Arrival times

34. B Yang, L Chea, A Verma and C Monterola*, Self-organized traffic flow at the lightless intersection: algorithms, policies, and simulations of the environmental impact, Clean Technologies and Environmental Policy 18, Dec 2015. keywords: Urban Intersection control . Lightless . Fuel use . GHG footprint 

35. B Yang* and C Monterola, Classification and unification of the microscopic deterministic traffic models

36. Physical Review E 92, 042802, 02 October 2015. keywords: Traffic models, two-phase and three-phase models, generalized optimal velocity model, intelligent driver model 

37. G Li, D Zhao, SH Kuo, HY Xu, N  Hu, G  Zhao, C Monterola*, Entropy-based modelling for estimating demographic trends, Plos One September 18, 2015 DOI: 10.1371/journal.pone.0137324. keywords: Age structured population model, entropy-based method, household size model, convex optimization

38. V Narang, MA Ramli, M Poidinger, A Singhal, P Kumar, G de Libero, C Monterola*, Automated identification of core regulatory genes in human gene regulatory networks, Plos Comp. Biology September 22, 2015 DOI: 10.1371/journal.pcbi.1004504. keywords: Human Gene Regulatory networks, Community detection, Hierarchical Clustering, mRNA, Transcription factors  

39. N. Huynh*, E.F. Legara, C Monterola, A dynamical model of Twitter activity profiles, Proceedings of 26th ACM Conference on Hypertext and Social Media Accepted: May 2015. keywords: Twitter activities, Topic diffusion, Clustering analysis

40. F Ling, C Monterola, Y Hu, The simplified self-consistent probabilities method for percolation and its application to interdependent networks, New Journal of Physics New J. Phys. 17 063025 June 2015. keywords: Interdependent networks; Self-consistent probability equations; Critical phase transition; Percolation theory; Critical threshold

41. X Su*,  J Pang, C Monterola, Asymmetric optimal-velocity car-following model, Physica A Vol. 436 Pages 565–571 October 2015, keywords: Car-following theory, Asymmetric optimal-velocity; Critical density; Linear stability condition

42. Y Bo, C Monterola, A general scheme for deterministic microscopic traffic models. Part 1 Theoretical construction, Traffic and Granular Flow Pages 451-458 2016. keywords: Traffic models, two-phase vs three-phase, car following models

43. Y Bo, C Monterola, A general scheme for deterministic microscopic traffic models. Part 2 Empirical Verifications, Traffic and Granular Flow Pages 451-458 2016. keywords: Traffic models, two-phase vs three-phase, car following models

44. NB Othman, EF Legara, V Selvam and C Monterola*, A data-driven agent-based model of congestion and scaling dynamics of rapid transit systems, Journal of Computational Science 10, September 2015, Pages 338–350. keywords: Agent-based model; Rapid transit systems; Congestion; Smart card data

45. MA Ramli and C Monterola*, The resilience of the encounter network of commuters for a metropolitan public bus system, Proceedings of ICCS, Accepted: March 2015. keywords: Encounter networks; Epidemic models; Network properties

46. EF Legara,  KK Lee, GG Hung and C Monterola*, Mechanism-based model of a mass rapid transit system: A perspective, Intl Journal of Modern Physics C 36 2015. keywords: Agent-based model; Rapid transit systems; Capacity; Power Law;  Complex systems

47. Bo Yang, Soo Kng Teo, Bart Hoeben, Christopher Monterola, Yi Su, Robust identification of heartbeats with blood pressure signals and noise detection, Computing in Cardiology, pp. 565-568 Sept 2014. keywords: ECG heartbeats; signal detection; noise detection; heartbeat classification

48. MA Ramli and C Monterola*, Probing and shaping the information transfer of noise-perturbed complex networks, Journal of Computational Science. Accepted: 12 August 2014. keywords: Adaptive thresholding; Stochastic resonance; Complex networks; First passage time; Markov chains

49. C Abundo, C Monterola*, EF Legara, Criticality of forcing directions on the fragmentation and resilience of grid networks, Nature Scientific Reports. Accepted: 30 July 2014. keywords: Networks; Basquin's law; Link preservation; Memory

50. ZF Pang, N Othman, KM Ng and C Monterola*, Efficiency and robustness of different bus network designs, Intl Journal of Modern Physics C 26, 1550024 (2015). keywords: Bus network optimization; network designs; multi-objective optimization

51. JF Valenzuela, C Monterola, EF Legara, X Fu, and SM Goh, On centripetal flows of entities in scale-free networks with nodes of finite capability, Complexity  21, September 2015 Pages 283–295. keywords: Flows; Traffic; Scale-free networks

52. A Paguirigan Jr, C Monterola, and R Batac*, Loss of criticality in the avalanche statistics of sandpiles with dissipative sites, Communications in Nonlinear Science and Numerical Simulation 20, March 2015, Pages 785–793. keywords: Sandpile models; Scaling phenomena in complex systems; Self-organization of complex systems; Computational techniques: statistical physics and nonlinear dynamics

53. C David*, EF Legara, JM Atun, C Monterola, News frames of the population issue in the Philippines, International Journal of Communication 8, pp. 1247-1267, 2014. keywords: Framing; Semantic Network Analysis; News Frames; Population; Family Planning

54. MA Ramli, C Monterola*, KK Lee, and GG Hung, A method to ascertain rapid transit systems' throughput distribution using network analysis, Procedia Computer Science 29, pp. 1621–1630, 2014. keywords: Complex networks; Centralities; Transport dynamics; Rail transit systems

55. NB Othman, EF Legara, V Selvam, and C Monterola*, Simulating congestion dynamics of train rapid transit using smart card data, Procedia Computer Science 29, pp. 1610–1620 2014. keywords: Multiagent systems; Transport dynamics; Rail transit systems

56. JF Valenzuela, EF Legara, X Fu, RSM Goh, R de Souza, and C Monterola*, A network perspective on the calamity–induced inaccessibility of communities and the robustness of centralized, landbound relief efforts, Intl. J. of Mod. Phys. C. 25, 1450047, 2014. DOI No. 10.1142/S0129183114500478. keywords: Relief Operations; Calamities; Logistics; Complex networks

57. EF Legara, C Monterola*, KK Lee, GG Hung, Critical capacity, travel time delays and travel time distribution of rapid mass transit systems, Physica A: Statistical Mechanics and its Applications 406, pp. 100–106, 15 July 2014. keywords: Agent-based modelling; Transport dynamics; Rail transit systems

58. J. Decraene, C. Monterola*, KK Lee, GG Hung, M. Batty, The Emergence of Urban Land Use Patterns Driven by Dispersion and Aggregation Mechanisms, PLoS ONE 8(12): e80309 (2013). DOI No. 10.1371/journal.pone.0080309. keywords: Entropy; Land use; Quality of life; Radii; Singapore; Statistical dispersion; Topographic maps; Urban environments

59. J. Pang, C. Monterola, and  J. Bantang*, Noise-induced synchronization in a lattice Hodgkin-Huxley neural network, Physica A: Statistical Mechanics and its Applications 393, pp. 638–645 (2014). DOI No. 10.1016/j.physa.2013.08.069. keywords: Hodgkin–Huxley neurons; Lattice network; Synchronization

60. E.F. Legara*, C. Monterola*, and C. David, Complex Network Tools in Building Expert Systems that Perform Framing Analysis, Expert Systems With Applications 40, Issue 11, pp. 4600–4608 (2013). DOI No. 10.1016/j.eswa.2013.01.064. keywords: Framing analysis; Complex network analysis; Clustering analysis; Community detection

61. J. Decraene, C. Monterola*, G. Lee, and T. Hung, A Quantitative Procedure for the Spatial Characterization of Urban Land Use, Intl. J. of Mod. Phys. C. 24, Issue 01, 1250092 (2013). DOI No. 10.1142/S0129183112500921. keywords: Spatial entropy; dissimilarity index; land use; urban planning and development

62. J.C. Pang, J. Bantang and C. Monterola*, Effect of random link malfunctions to synchronization of Hodgkin-Huxley Neurons in a lattice network, Intl. J. of Mod. Phys. C 23, Issue 03, pp. 1250027-1-14 (2012). DOI No. 10.1142/S0129183112500271. keywords: Hodgkin–Huxley neurons; Lattice network; Synchronization

63. R. Batac, A. Longjas and C. Monterola*, Statistical distributions of avalanche size and waiting times in an inter-sandpile cascade model, Physica A: Statistical Mechanics and its Applications 391, Issue 3, pp. 616–624 (2012). DOI No. 10.1016/j.physa.2011.08.032. keywords: Inter-sandpile cascade model; Landslides; Cellular automata

64. I. Crisologo, C. Monterola*, and M. Soriano, Statistical Feature-Based Craquelure Classification, Intl. J. of Mod. Phys. C 22, Issue 11, pp. 1191-1209 (2011). DOI No. 10.1142/S012918311101683X. keywords: Craquelures; Image processing; Classification; Linear discriminant analysis

65. C. David*, J.M. Atun, E.F. Legara, and C. Monterola, Finding Frames: Comparing Two Methods of Frame Analysis, Communication Methods and Measures 5, Issue 4, pp. 329-351 (2011). DOI No. 10.1080/19312458.2011.624873. keywords: Framing analysis in media; Latent class analysis; Community detection; Complex network

66. A. Longjas, E.F. Legara, and C. Monterola*, Power law mapping in human area perception, Intl. J. of Mod Phys C 22, Issue 5, pp. 495-503 (2011). DOI No. 10.1142/S0129183111016397. keywords: Area perception; Power law; Length estimation; Steven's law; Spatial vision; Visual cognition

67. J. F. Valenzuela and C. Monterola*, Spatio-temporal deviations in fluid flow resulting from particle-fluid interactions, Journal of Statistical Mechanics: Theory and Experiment, P02038, (2011). DOI No. 10.1088/1742-5468/2011/02/P02038. keywords: Granular matter; Lattice Boltzmann methods; Computational fluid dynamics; Hydrodynamic instabilities

68. E.F. Legara, C. Abundo, and C. Monterola*, Ranking of predictor variables based on effect size criterion provides an accurate means of automatically classifying opinion column articles, Physica A 390, Issue 1, pp 110-119 (2011). DOI No. 10.1016/j.physa.2010.03.016. keywords: Author identification analysis; Effect-size criterion; Linear discriminant analysis

69. I. Crisologo, R. Batac, A. Longjas, E.F. Legara, C. Monterola*, Visual and auditory cues significantly reduce human’s intrinsic biases when tasked to generate a random number sequence, Intl. J. of Mod. Phys. C 21, Issue 5, pp. 567-581 (2010). DOI No. 10.1142/S0129183110015324. keywords: Random number statistics; Linfoot's criteria; Brain models; Pattern recognition

70. C. Monterola*, I. Crisologo, J. Tugaff, R. Batac and A. Longjas, Surface morphology of chalkboard tips captures the uniqueness of the user's hand strokes, Intl. J. of Mod. Phys. C 21, Issue 4, pp. 535-548 (2010). DOI No. 10.1142/S0129183110015294. keywords: Photometric stereo method; neural networks; chalk tip's morphology

71. E.F. Legara, C. Monterola*, C. David, and J. Atun, News framing of population and family planning issues via syntactic network analysis, Intl. J. of Mod. Phys. C 21, Issue 1, pp. 51-65 (2010). DOI No. 10.1142/S0129183110014987. keywords: News framing analysis; Syntactic network analysis; Population and family planning; Cluster analysis

72. M. Arciaga, M. Pastor, R. Batac, J. Bantang and C. Monterola*, Experimental observation and empirical model of enhanced heap stability resulting from mixing of granular materials, Journal of Statistical Mechanics: Theory and Experiment, P07040, pp. 1-16 (2009). DOI No. 10.1088/1742-5468/2009/07/P07040. keywords: Cluster aggregation (theory); Granular matter; Sandpile models (experiment); Sandpile models (theory)

73. C Monterola*, C Abundo, J Tugaff, LE Venturina, Prediction of potential hit song and musical genre using artificial neural networks, Intl. J. of Mod. Phys. C 20, Issue 11, pp. 1697-1718 (2009). DOI No. 10.1142/S0129183109014680. keywords: Neural networks; Linear discriminant analysis; Classification and regression trees; Hit-song prediction; Musical genre classification

74. A Longjas, C Monterola*, C Saloma, Force analysis of jamming with disks of different sizes in a two-dimensional hopper, Journal of Statistical Mechanics: Theory and Experiment, P05006 (2009). DOI No.10.1088/1742-5468/2009/05/P05006.

75. G. Esleta and C. Monterola*, Effect of memory and reinforcement on the propagation and morphology of fracture in a two-dimensional mass-spring system, Intl. J. of Mod. Phys. C 20, Issue 7, pp. 1049-1062 (2009). DOI No. 10.1142/S0129183109014187.

76. R. Batac, M. Pastor, M. Arciaga, J. Bantang, and C. Monterola*, Kinks, logarithmic tails, and super stability in bi-disperse granular media, Physica A 388, Issues 15-16, pp. 3072 - 3082 (2009). DOI No. doi:10.1016/j.physa.2009.04.001.

77. C. Monterola*, R.M. Roxas, & S.L. Carreon-Monterola, Characterizing the Effect of Seating Arrangement on Classroom Learning Using Neural Networks, Complexity Journal 14, 26 -33 (2009). DOI No. 0.1002/cplx.20237

78. JF Valenzuela and C Monterola*, Convective flow-induced short timescale segregation in a dilute bidisperse particle suspension, Intl. J. of Mod. Phys. C 19, 12 (2008). DOI No. 10.1142/S0129183108013278

79. DE Juanico, A. Longjas, R. Batac, and C. Monterola*, Avalanche Statistics of Granular Driven slides in a miniature mound, Geophysical Research Letters, 35 (2008) L19403. DOI No. 10.1029/2008GL035567

80. EF Legara, C Monterola*, D.E. Juanico, M. Litong-Palima and C. Saloma, Earning Potential in Multilevel Marketing Enterprises, Physica A 387, 4889-4895 (2008). DOI No. 10.1016/j.physa.2008.04.009

81. GA Esleta and C Monterola*, Structural reinforcement in a spring-block model of stress-induced fracture propagation, Computer Physics Communications 178, 635 (2008). DOI No. 10.1016/j.cpc.2007.12.003

82. DE Juanico and C Monterola*, Background activity drives criticality of neuronal avalanches, Journal of Physics A, 40, 9297-9309 (2007). DOI No. 10.1088/1751-8113/40/31/008 

83. D.E. Juanico, C. Monterola* and C. Saloma, Dissipative self-organized branching in a dynamic population, Phys. Rev. E - Rap. Comm. 75, 045105 (2007). DOI No. 10.1103/PhysRevE.75.045105

84. D.E. Juanico, C. Monterola* and C. Saloma, Self-organised critical branching in systems that violate conservation laws, New Journal of Physics 9, 92 (2007). DOI No. 10.1088/1367-2630/9/4/092

85. D.E. Juanico, C. Monterola and C. Saloma*, Cluster formation by allelomimesis in real-world complex adaptive systems, Phys. Rev. E 71, 041905 (2005). DOI No. 10.1103/PhysRevE.71.041905

86. C. Monterola* and M. Zapotocky, Noise-Enhanced categorization in a recurrently reconnected neural network, Phys. Rev. E 71, 036134 (2005). DOI No. 10.1103/PhysRevE.71.036134

87. M. Quito, C. Monterola, and C. Saloma, Memory and a priori best strategy in complex adaptive systems, Complexity 9, 41 (2004). DOI No. 10.1002/cplx.20008

88. C. Monterola and C. Saloma, Solving the nonlinear Schrodinger equation : Estimation of error in solution, Opt. Comm. 222, 331 (2003). DOI No. 10.1016/S0030-4018(03)01570-0

89. D. E. Juanico, C. Monterola and C. Saloma, Allelomimesis as a generic clustering mechanism for interacting agents, Physica A 320, 590 (2003). DOI No. 10.1016/S0378-4371(02)01556-X

90. C. Monterola and C. Saloma, Noise-driven manifestation of learning in mature neural networks, Phys. Rev. Lett. 89, 188102 (2002). DOI No. 10.1103/PhysRevLett.89.188102

91. C. Monterola, M. Lim, J. Garcia, and C. Saloma, Feasibility of a neural network as classifier of undecided respondents in a public opinion survey, Intl. J. of Pub. Opin. Res. 14, 22 (2002). DOI No. 10.1093/ijpor/14.2.222.

92. J. Bantang, M. Lim, C. Monterola and C. Saloma, Gravity-assisted segregation of granular materials of equal mass and size, Phys. Rev. E 66, 041306 (2002). DOI No. 10.1103/PhysRevE.66.041306

93. C. Monterola, M Lim, J. Garcia and C. Saloma, Accurate forecasting of undecided population in a public opinion poll, J. of Forecasting 21, 435 (2002). DOI No. 10.1002/for.831

94. C. Monterola and C. Saloma, Solving the nonlinear Schrödinger equation with an unsupervised neural network, Opt. Express 9, 72 (2001). DOI No. 10.1364/OE.9.000072

95. M. Quito Jr., C. Monterola and C. Saloma, Solving N- Body problems with neural networks, Phys. Rev. Lett. 86, 4741 (2001). DOI No. 10.1103/PhysRevLett.86.4741

96. C. Monterola and C. Saloma, Characterizing the dynamics of constrained physical systems with neural network, Phys. Rev. E – Rap. Comm. 57, 1247 (1998). DOI No. 10.1103/PhysRevE.57.R1247

Book chapters (total = 4),  International Conference Proceedings / Paper Presentations (total = 25), National Refereed Journal (total = 8), National Refereed Proceedings (total = 102)

Feature/Contributed Articles

1. Three ideas on mass testing: Where, how, and why? March 28, 2020. [Filipino version]

2. Coronavirus cases in PH could reach 26,000 by end-March if random spread not contained. March 17 2020. 

3. Pointing the way to a smarter city, Feb 16 2020.

4. Around 800K BPO employees may lose jobs by 2024 due to automation, June 13, 2019