Abdel Labbi  Abdel Labbi photo       

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Manager, Cognitive Systems
IBM Research - Zurich, Switzerland


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More information:  Supply chain optimization  |  My Twitter ID: ‪@arlabbi  |  Sales & marketing optimization  |  Risk analysis


A. Labbi (2005). The Handbook of Integrated Risk Management. J. Ross Publ., Boca Raton, FL.

Risk Management

  1. Labbi A., Cuendet M. (2001). Predictive Modeling for e-Business Risk Management. INFORMS'2001, Dec. 5-10, Miami, USA.
  2. Labbi A., Cuendet M. (2002). Project Risk Assessment and Pricing using Data Mining Techniques. 10th Congress on Comp. and Applied Math., Jul. 22-26, Leuven, Belgium.
  3. Labbi A., Cuendet M. (2005). Predictive Data Mining for Project Portfolio Risk Management. In The Handbook of Integrated Risk Management, J. Ross Publ.
  4. Labbi, A. (2008). “Structured Approaches to Operational Risk Management”. Investance Conf. on Op. Risk., Paris, September.
  5. Cope, E., Labbi, A., & the ORX Analytics Working Group. (2008). Operational Loss Scaling by Exposure Indicators: Evidence from the ORX Database. Journal of Operational Risk, December.

Marketing Science

  1. G. Tirenni, A. Labbi, C. Berrospi, A. Elisseeff , T. Bhose, K. Pauro, S. Pöyhönen (2007).
    Customer Equity and Lifetime Management (CELM) Finnair Case Study.
    Marketing Science Journal, Vol. 26, No. 4.
  2. Tirenni, G., Labbi, A., Berrospi, C., and Elisseeff, A. (2005). Efficient Allocation of Marketing Resources using Dynamic Programming. The SIAM Int. Conf. on Data Mining, Apr. 21-23, Newport Beach, CA, USA.
  3. A. Labbi, C. Berrospi (2007). Optimizing Marketing Planning and Budgeting Using Markov Decision Processes. IBM Journal of Research and Development, Vol. 51, No.3/4.
  4. A. Labbi, C. Berrospi. (2007). A Portfolio Optimization Approach to Marketing Measurement and Optimization. INFORMS Marketing Science Conference, 28-30 June, Singapore.
  5. C. Berrospi, A. Labbi, I. Vacca (2007). Marketing Mix Optimization with Picewise-Linear Function Approximation. 22nd European Conf. on Operations Research, 8-11 July, Prague.
  6. A. Labbi, C. Berrospi., I. Vacca. (2008). Combining Machine Learning and Linear Programming for Marketing Mix Optimization: A B2B Case study. INFORMS Marketing Science Conference, Vancouver, Jun. 12-14.
  7. M. Vlachos, A. Labbi, C. Berrospi, A. Lomako. (2009). Exploratory Recommender Systems for Sales and Marketing Optimization. 10th International Conference on Knowledge Discovery & Data Mining (SIGKDD), Paris, France.

Artificial Intelligence

  1. Labbi A. (1992). An Approximation-Based Model of Associative Memory. Artificial Neural Networks 2, Vol. 2, pp. 987 - 990, Elsevier, North-Holland.
  2. Labbi A. (1993). A Neural Network for Decision Making in Dynamic Environments. Proc. Int. Conf. on Artificial Neural networks, 13 - 16 Sept., Amsterdam, Springer-Verlag.
  3. Labbi A. (1995). Recurrent RBF Networks as Regularized Associative Memories. Int. Conf. on Mathematics of Artificial Neural Networks, 2-9 Jul., Oxford, UK.
  4. Orsier B. & Labbi A. (1995). NESSY3L: A NEuroSymbolic SYstem with Three Levels. Int. Joint Conf. on AI, 17 - 20 Aug., Montreal.
  5. Labbi A. (1997). A Variational Approach to Associative Memory. In Mathematics of Neural Networks, S.E. Ellacot et al. (editors), chapter 38, Kluwer Academic Publ.
  6. Labbi A. & Gauthier E. (1997). Combining Fuzzy Knowledge and Data for Neuro-fuzzy Modeling. Journal of Intelligent Systems, Vol.6, No.4, Freund Publ. Ltd., London.
  7. Labbi A. (1998). Data/knowledge Interaction for Hybrid Modeling: the Neuro-Fuzzy Case. In Proc. of Int. Conf. on Information Systems Analysis and Synthesis, 12-16 July, Orlando.
  8. Labbi A. & Rida A. (1998). Asymptotic Behaviour of a Neural Network with Dynamic External Input. In Proc. of ICANN'98, pp. 129-134, September 2-4, Skovde (Sweden), Springer.
  9. Labbi, A., Bosch H., Pellegrini Ch., Gerstner, W. (1999). Viewpoint-Invariant Object Recognition using Independent Component Analysis. In Proc. of International Symposium on Nonlinear Theory and its Applications (NOLTA'99), Nov. 28 - Dec. 3, Hawaii, USA
  10. Rida A., Labbi A., Pellegrini Ch. (1999). Experts Combination trough Density Decomposition. A.I. and Statistics, Vol. 2, January, Morgan Kaufman.
  11. Labbi A., Bosch H., Pellegrini Ch. (2001). High Order Statistics for Image Classification. International Journal of Neural Systems, vol. 11, No. 4, pp 371-377.
  12. Labbi A., Cuendet M. (2002). Consistent AdaBoost for Boosting Stumps. Int. Conf. On Machine Learning and Applications, Jun. 23-27, Las Vegas, USA.

Computaional Neuroscience

  1. Bosch H., Labbi A., Milanese R. (1997). Attentional Modulation of Firing Patterns for
    Spiking Neurons. Proc. of 2nd International Conference on Computational Intelligence
    and Neuroscience, Research Triangle Park, North Carolina, March 2-5.
  2. Bosch H., Labbi A., Milanese R. (1998). Object Segmentation by Attention-Induced Oscillations. In Proc. of IEEE World Congress on Computational Intelligence, 5-9 May, Alaska.
  3. Bosch H., Milanese R., Labbi A., Demongeot, J. (1998). Rate and Temporal Coding with a Neural Oscillator. In Proc. of Int. Conf. on Artificial Neural Networks (ICANN'98), pp. 1021-1026, September 2-4, Skovde (Sweden), Springer.
  4. Labbi, A., Bosch H., Pellegrini Ch., Gerstner, W. (1999). Sparse-Distributed Codes for Image Categorization. In Proc. of Int. Conf. on Neural Information Processing, Nov.16-20, Perth, Australia.
  5. Labbi A., Milanese R., Bosch H. (1999). Asymptotic Synchrony in Networks of Locally Connected Oscillators. Int. Journal of Bifurcation and Chaos, vol. 9, No. 12.
  6. Labbi A., Milanese R., Bosch H.(2001). Object Segmentation using FitzHugh-Nagumo Oscillators. Journal of Nonlinear Systems, vol 47, pp 5827-5838.