Andras Lab

Website of the lab of Professor Peter Andras

All papers

Conference papers

  1. Farhad, A, Woolley, SI, Andras, P (2021). A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. Public Health and Informatics, pp. 504-505.

  2. Andras, P (2020). Composition of Games as a Model for the Evolution of Social Institutions. Proceedings of the Artificial Life Conference – 2020, pp.171-179.

  3. Briggs, C, Fan, Z, Andras, P (2020). Federated learning with hierarchical clustering of local updates to improve training on non-IID data. Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN),  doi: 10.1109/IJCNN48605.2020.9207469.

  4. Briggs, C, Fan, Z, Andras, P (2020) Privacy preserving demand forecasting to encourage consumer acceptance of smart energy meters. Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020, https://arxiv.org/abs/2012.07449.

  5. Andras, P (2019). Environmental Harshness and Fitness Improving Innovations. Proceedings of the Artificial Life 2019 (ALife 2019), pp. 300-307.

  6. Andras, P (2018). Cooperation in repeated rock-paper-scissors games in uncertain environments. Proceedings of the Artificial Life Conference – 2018, pp.404-411. 

  7. Al-Said Ahmad, A, Andras, P (2018). Measuring the scalability of cloud-based software services. In the proceedings of the IEEE World Congress on Services (SERVICES) – 2018, pp.67-74.

  8. Andras, P (2018). Random Projection Neural Network Approximation. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2018.

  9. Al-Said Ahmad, A, Andras, P (2018). Measuring and testing the scalability of cloud-based software services. In the proceedings of the 5th International Symposium on Innovation in Information and Communication Technology – ISIICT 2018.

  10. Andras, P (2017). Open-ended evolution in cellular automata worlds. Proceedings of the 14th European Conference on Artificial Life (ECAL 2017), pp.438-445 .

  11. Al-Janabi, M, de Quincey, E, Andras, P (2017). Using supervised machine learning algorithms to detect suspicious URLs in online social networks. Proceedings of the International Symposium on Foundations of Open Source Intelligence and Security Informatics FOSINT-SI 2017, pp.1104-1111.

  12. Ahmad, AA-S, Brereton, OP, Andras, P (2017). A systematic mapping study of empirical studies on software cloud testing methods. Proceedings of the 2017 International Workshop on Automation Testing of Cyber-Physical Systems in the Cloud (cpsATcloud 2017), DOI: 10.1109/QRS-C.2017.94.

  13. Dos Santos, F, Andras, P, Lam, KP (2017). Towards an accurate identification of pyloric neuron activity with VSDi. Proceedings of the 26th International Conference on Artificial Neural Networks (ICANN 2017), pp.121-128.

  14. Al-Janabi, M, Andras, P (2017). A systematic analysis of random forest based social media spam classification. Proceedings of the International Workshop on Security Measurements of Cyber Networks (SMCN) - 2017 (Springer LNCS 10613), pp.427-438.

  15. Dos Santos, F, Andras, P, Lam, KP (2017). A Multiresolution Approach to  the Extraction of the Pyloric Rhythm. Proceedings of the 40th IEEE International Conference on Telecommunications and Signal Processing, DOI: 10.1109/TSP.2017.8076015.

  16. Olorisade, BK, Brereton, OP, Andras, P (2017). Reporting Statistical Validity and Model Complexity in Computational Studies. Proceedings of the 21st Evaluation and Assessment in Software Engineering Conference (EASE 2017), pp.128-133.

  17. Olorisade, BK, De Quincey, E, Brereton, P, Andras, P (2016). A critical analysis of studies that address the use of text mining for citation screening in systematic reviews. Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering (EASE) 2016, article no. 14.

  18. Dos Santos, F, Steyn, JS, Andras, P (2016). Modelling the restoration of activity in a biological neural network. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2016, doi: 10.1109/IJCNN.2016.7727813 .

  19. Andras, P (2016). Social learning, environmental adversity and the evolution of cooperation. Proceedings of the Artificial Life Conference (ALife) 2016, pp.290-297.

  20. Alshamsi, A, Williams, N, Andras, P (2016). The Trade-off between Usability and Security in the Context of eGovernment: A Mapping Study.  In proceedings of the British HCI 2016 Conference.

  21. Andras, P (2015). Environmental Factors and the Emergence of Cultural – Technical Innovations. Proceedings of the European Conference on Artificial Life 2015, pp.130-137.

  22. Andras, P (2015). High-Dimensional Function Approximation Using Local Linear Embedding. Proceedings of the International Joint Conference on Neural Networks, pp. 1-8, DOI: 10.1109/IJCNN.2015.7280370.

  23. Duffee, B, Andras, P (2015). Detecting Communities of Methods using Dynamic Analysis Data. Proceedings of the International Workshop on Emerging trends in Software Metrics, pp.11-20.

  24. Hammerla, N, Fisher, J, Andras, P, Rochester, L, Walker, R, Ploetz, T (2015). PD disease state assessment in naturalistic environments using deep learning. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence – 2015, pp.1742-1748.

  25. Sinmai, K, Andras, P (2014). Mapping on surfaces: supporting collaborative work using interactive tabletops. In Collaboration and Technology (Proceedings of the 20th International Conference on Collaboration and Technology – CRIWG 2014), Springer International Publishing, LNCS 8658, pp.319-334.

  26. Andras, P, Pakhira, A, Moreno, L, Marcus, A (2013). A measure to assess the behavior of method stereotypes in object-oriented software. Proceedings of the 4th International Workshop on Emerging Trends in Software Metrics (WETSoM 2013), pp.7-13.

  27. Hammerla N, Kirkham R, Andras P, Ploetz T (2013). On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution. Proceedings of the International Symposium on Wearable Computers (ISWC), pp.65-68.

  28. Crabbe, S, Andras, P (2012). Computer anxiety and the Big Five. In the proceedings of the Psychology of Programming Interest Group Annual Conference – PPIG 2012, paper 14, www.ppig.org/papers/24/14.Computer%20Anxiety-Sarah%20Crabbe.pdf.

  29. Yu, S-Y, Hammerla, N, Yan, J, Andras, P (2012). Aimbot detection in online FPS games using a heuristic method based on distribution comparison matrix.  In the Proceedings of the ICONIP’2012, pp.654-661.

  30. Pakhira, A, Andras, P (2012). Using network analysis metrics to discover functionally important methods in large-scale software systems. Proceedings of the 3rd International Workshop on Emerging Trends in Software Metrics (WETSoM 2012), pp.70-76.

  31. Yu, S-Y, Hammerla, N, Yan, J, Andras, P (2012). A statistical aimbot detection method for online FPS. Proceedings of the IJCNN’2012, DOI: 10.1109/IJCNN.2012.6252489.

  32. Luo, JW, Mak, T, Yu, B, Andras, P, Yakovlev, A (2011). Towards neuro-silicon interface using reconfigurable dynamic clamping. In proceedings of the Conference of the IEEE Engineering in Medicine and Biology Society – EMBC’11, pp.6389-6392.

  33. Hammerla, N, Plötz, T, Andras, P, Olivier, P (2011). Assessing motor performance with PCA. In Proceedings of the International Workshop on Frontiers in Activity Recognition using Pervasive Sensing.

  34. Andras, P (2011). Networks of artificial social interactions. In Proceedings of European Conference on Artificial Life – ECAL 2009, LNCS 5778, pp.883-890.

  35. Andras, P (2011). Modelling living systems. In Proceedings of European Conference on Artificial Life – ECAL 2009, LNCS 5778, pp.706-713.

  36. Pakhira, A, Andras, P (2010). Can we use network analysis methods to discover functionally important method calls in software systems by considering dynamic analysis data? In Proceedings of the PCODA 2010 Workshop, pp.12-19.

  37. Andras, P (2008). Uncertainty and communication complexity in iterated cooperation games. In Proceedings of ALife XI, MIT Press, pp.9-15.

  38. Andras, P (2008). Uncertainty in iterated cooperation games. In Proceedings of CEC 2008, pp.593-599.

  39. Fitch, S, Jackson, TR, Andras, P (2008). Unsupervised segmentation of cell nuclei using geometric models. In Proceedings of 5th IEEE International Symposium on Biomedical Imaging – From Nano to Macro, pp.728-731.

  40. Andras, P & Lycett, S (2007). An advantage of chaotic neural dynamics. In Proceedings of IJCNN’2007, pp.1417-1422.

  41. Parkin, SE, Andras, P, & Morgan, G (2007). Evolutionary Optimization of Parameters for Distributed Virtual Environments. In Proceedings of CEC’2007, pp.1390-1397.

  42. Parkin, SE, Andras, P, Morgan, G (2006). Managing missed interactions in distributed virtual environments. In Proceedings of the 12th Eurographics Symposium on Virtual Environments, pp.27-34.

  43. Andras, P, Idowu, O, and Periorelis, P (2006). Fault tolerance and network integrity measures: the case of computer-based systems. In Proceedings of AISB Convention 2006, pp.90-97.

  44. Andras, P and Idowu, O (2005). Kohonen networks with graph-based augmented metrics. In Proceedings of WSOM’2005, pp.179-186.

  45. Andras, P and Wennekers, T (2005). Cortical activity pattern computation. In Proceedings of IPCAT’2005, pp.153-161.

  46. Idowu, O, and Andras, P (2005). Identification of functionally essential proteins from protein interaction networks. In: Proceedings of CIMED 2005, pp.330-333.

  47.  Andras, P, Roberts, G, Lazarus, J, and Lynden, SJ (2005) Environmental risk. In Proceedings of the Joint Symposium on Socially Inspired Computing, pp. 88-94.

  48.  Andras, P. and Charlton, B.G. (2004). Management from the Perspective of Systems Theory. In Proceedings of Practising Philosophy of Management, 2004.

  49. Idowu, O.C., Lynden, S.J., Young, M.P. and Andras, P. (2004). Bacillus Subtilis Protein Interaction Network Analysis. In Proceedings of IEEE Computational Systems Bioinformatics Conference, pp. 623-625.

  50. Periorellis, P., Idowu, O.C., Lynden, S.J., Young, M.P., Andras, P. (2004) Dealing with complex networks of protein interactions: A security measure. In Proceedings of 9th IEEE International Conference on Engineering of Complex Systems (ICECCS), pp.29-36.

  51. Andras, P. (2003) Understanding Neural Computation in Terms of Pattern Languages. In Proceedings of the International Joint Conference on Neural Networks 2003, pp. 1385-1390.

  52. Andras, P., Roberts, G., Lazarus, J. (2002) Communication Complexity, Environmental Risk, and Cooperation. In Proceedings of AAMAS – II, pp.51-59.

  53. Andras, P. (2002) Spectrum-based Design of Sinusoidal RBF Neural Networks. In Proceedings of the International Joint Conference on Neural Networks 2002, pp. 1421-1426.

  54. Andras, P. (2001) The Sierpinski brain. In Proceedings of the International Joint Conference on Neural Networks 2001, vol.1., pp.654-659.

  55.  Andras, P. (1999) Approximation of Chaotic Shapes with Tree-structured Neural Networks. In Proceedings of IJCNN '99, Washington, D.C., IEEE Press, paper #187.

  56.  Andras, P., Postma, E., van den Herik, J. (1999) Dealing with Environmental Dynamics. In Proceedings of BNAIC’99, Maastricht, IKAT, pp.211-218.

  57.  Andras, P. (1998) Neural Network Design Using Spectral Analysis. In Proceedings of ICONIP 98, vol.3., pp. 1228-1231., Ohmsha Press, Tokyo.

  58.  Opre, A., Andras P. (1998) Modeling Amnesic Syndrome with Artificial Neural Networks. In Proceedings of International Conference on Automation and Quality Control, pp.604-611.

  59.  András, P. (1997) Systematic Development of WWW Pages. In Proceedings of Romanian Internet Learning Workshop, pp.126-133.

  60.  András, P. (1996) Approximation of Functions with Tree-structured Neural Networks. In Proceedings of International Conference on Approximation, Cluj, Romania, pp.1-9.

  61.  András, P. (1996) A Tree-structure Artificial Neural Network Applied for Chaotic Time Series Prediction. In A.M. Ramsey(ed.):Artificial Intelligence: Methodology, Systems, Applications, pp.119-125.

  62. 87.   András, P. (1996) Tuning Fuzzy Rule Bases with a Genetic Algorithm. In Proceedings of ROSYCS '96, Iasi, Romania, pp.351-360.

  63. 88.   András, P., András, A., Szabó, Zs. (1996) A Genetic Solution for the Cutting Stock Problem. In Proceedings of First On-Line Workshop on Soft Computing, pp.87-92.