Travelled to:1 × Poland
2 × Spain
Collaborated with:F.Enembreck R.Ribeiro O.B.Dordal B.C.Ávila E.E.Scalabrin M.Teixeira A.L.Wirth A.J.d.Souza H.M.Gomes J.P.Barddal D.M.V.Sato F.Favarim M.A.C.Barbosa A.L.Koerich
Talks about:base (4) approach (3) learn (3) plan (3) train (2) drive (2) appli (2) case (2) use (2) algorithm (1)
Person: André Pinz Borges
DBLP: Borges:Andr=eacute=_Pinz
Contributed to:
2015
20152012Wrote 5 papers:
- ICEIS-v1-2015-BorgesDRAS #approach #generative #using
- An Economic Approach for Generation of Train Driving Plans using Continuous Case-based Planning (APB, OBD, RR, BCÁ, EES), pp. 440–451.
- ICEIS-v1-2015-RibeiroTWBE #learning
- A Learning Model for Intelligent Agents Applied to Poultry Farming (RR, MT, ALW, APB, FE), pp. 495–503.
- ICEIS-v1-2015-SouzaBGBE #learning #online
- Applying Ensemble-based Online Learning Techniques on Crime Forecasting (AJdS, APB, HMG, JPB, FE), pp. 17–24.
- SAC-2015-BorgesDSEAS #approach #performance #reasoning #reuse #using
- Efficient approach for reusing and sharing train driving plans using case-based reasoning (APB, OBD, DMVS, FE, BCÁ, EES), pp. 505–508.
- ICEIS-v1-2012-RibeiroFBBDKE #algorithm #approach #learning
- Unified Algorithm to Improve Reinforcement Learning in Dynamic Environments — An Instance-based Approach (RR, FF, MACB, APB, OBD, ALK, FE), pp. 229–238.