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We consider a scenario where an SU(2) triplet scalar acts as the portal for ascalar dark matter particle. We identify regions of the parameter space, wheresuch a triplet coexists with the usual Higgs doublet consistently with alltheoretical as well as neutrino, accelerator and dark matter constraints, andthe triplet-dominated neutral state has substantial invisible branchingfraction. LHC signals are investigated for such regions, in the final state{\em same-sign dilepton + $\ge$ 2 jets + $\not E_T$.} While straightforwarddetectability at the high-luminosity run is predicted for some benchmark pointsin a cut-based analysis, there are other benchmarks where one has to resort togradient boosting/neural network techniques in order to achieve appreciablesignal significance.

LHC signals of triplet scalars as dark matter portal: cut-based approach and improvement with gradient boosting and neural networks