Enhanced anomaly scores for isolation forests

•We propose novel anomaly scores for Isolation Forests.•We design weighted variants of the anomaly score that embed additional information.•We propose a novel aggregation function to combine the scores at forest level.•Experiments confirm the suitability of the approach.•The novel proposed scores outperform the original one.