Publications

Publications

Our solutions and their evolution are backed by years of dedicated Research, Development and Innovation, activities for which we are even certified.

Alongside the market success, our work has also gained recognition through publications in renowned journals and conferences.

These are some of SISCOG's key research contributions driving technological advancements in both the transportation and agriculture sectors.

Transportation

 

  • Crew rostering with fair satisfaction of personal preferences
    A. Wemans, J. Roussado, and R. L. Saldanha
    Proceedings of the 15th International Conference on Advanced Systems in Public Transport (CASPT2022), Tel Aviv, 2022

  • Profit-based Optimisation of Rolling Stock Rotations: a case study from North America
    R. Portugal and R. L. Saldanha
    Proceedings of the 15th International Conference on Advanced Systems in Public Transport (CASPT2022), Tel Aviv, 2022

  • Rescheduling rolling stock rosters as a profit optimization problem
    R. Portugal and R. L. Saldanha
    Proceedings of the 13th World Congress on Railway Research (WCRR), Birmingham, 6-10 June, 2022

  • Solving periodic timetabling problems with SAT and machine learning
    G. P. Matos, L. M. Albino, R. L. Saldanha and E. M. Morgado
    Public Transport 13, 625–648, 2021

  • Optimising periodic timetables with machine learning combined with other approaches
    G. P. Matos, L. M. Albino, R. L. Saldanha, and E. M. Morgado
    Virtual ITS European Congress, 9-10 November, 2020

  • Reduced (winter) timetable in the Netherlands: Process, Mathematical Models and Algorithms
    P.-J. Fioole, D. Huisman, G. Maróti, and R. L. Saldanha
    Proceedings of the 12th World Congress of Railway Research, Tokyo, 2019

  • The train frequency compatibility problem
    J. O. Cerdeira, C. Iglésias, and P. C. Silva
    Discrete Applied Mathematics, 269: 18-26, 2019

  • Optimising Cyclic Timetables with a SAT Approach
    G. P. Matos, L. Albino, R.L. Saldanha, E.M. Morgado
    In Oliveira E., Gama J., Vale Z., Lopes Cardoso H. (eds) Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science, vol 10423. Springer, 2017

  • A genetic-algorithm for the line planning problem in a railway context
    C. Iglésias, A. Carvalho, S. Brandão, and R. Saldanha
    Extended Abstract presented at INOC 2017, 2017

  • Decision support for scheduling security crews at Netherlands Railways
    H. Snijders and R.L. Saldanha
    Public Transport 9(1-2): 193–215, 2017

  • Security crew scheduling at Netherlands Railways
    H. Snijders and R.L. Saldanha
    Proceedings of the 13th Conference on Advanced Systems in Public Transport, 2015

  • Managing Operations in Real-time
    R. L. Saldanha, A. Frazão, J. P. Martins, and E. Morgado
    WIT Transactions on The Built Environment, Vol 127 pp. 521-531, 2012

  • Automated real-time dispatching support
    E. Morgado and J. P. Martins
    Proceedings of APTA's Rail Conference, Dallas, 2012

  • Using AI Local Search to Improve an OR Optimizer
    F. Morgado, R. L. Saldanha, J. Roussado, L. Albino, E. Morgado, J. P. Martins
    Proceedings of the 24th Conference on Innovative Applications of Artificial Intelligence (IAAI-2012), Toronto, Ontario, Canada, July 22-26, 2012

  • Solving Large Scale Crew Scheduling Problems in Practice
    E. J. W. Abbink, L. Albino, T. Dollevoet, D. Huisman, J. Roussado, and R. L. Saldanha
    Public Transport, 3(2): 149–164, 2011

  • Case studies in planning railroad crew members
    J. P. Martins and E. M. Morgado
    Proceedings of 2010 Joint Rail Conference, Urbana, Ill, USA, 2010

  • Case studies in planning crew members
    J. P. Martins and E. Morgado
    WIT Transactions on The Built Environment, Vol 114, pp. 371-381, 2010

  • Solving Set Partitioning Problems with Global Constraint Propagation
    R. Saldanha and E. Morgado
    Proceedings of 11th Portuguese Conference on Artificial Intelligence (EPIA 2003), Springer, 2902, 101-115, 2003

  • TPO: A System for Scheduling and Managing Train Crew in Norway
    J. P. Martins, E. Morgado, and R. Haugen
    Proceedings of the 15th Conference on Innovative Applications of Artificial Intelligence (IAAI-2003), Riedl a Hill (eds.), pp. 25-32, Menlo Park (CA): AAAI Press, 2003

  • CREWS_NS: Scheduling Train Crews in The Netherlands
    E. Morgado and J. P. Martins
    AI Magazine, 19(1): 25-38, 1998

  • Crews-ns: Scheduling train crew in the netherlands
    E. Morgado and J. P. Martins
    Proceedings of the 9th Conference on Innovative Applications of Artificial Intelligence Conference (IAAI 1997), pp. 893- 902. AAAI Press, 1997

  • Scheduling and Managing Crew in the Portuguese Railways
    E. Morgado and J. P. Martins
    Expert Systems with Applications, An International Journal, 5(3-4): 301-321,1992

Agriculture

  • Tracking and Counting Apples in Orchards Under Intermittent Occlusions and Low Frame Rates
    G. P. Matos, C. Santiago, J. P. Costeira, R. L. Saldanha, E. M. Morgado
    Proceedings of the 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024) Workshops, pp. 5413-5421, 2024

  • Can Grapevine Leaf Water Potential Be Modelled from Physiological and Meteorological Variables? A Machine Learning Approach
    Damásio M., Barbosa M., Deus J., Fernandes E., Leitão A., Albino L., Fonseca F., Silvestre J.
    Plants, 12(24):4142,2023