48 citations · 99 across the 16 of their papers we have counts for
5 papers · 1 filter
Least-Ambiguous Multi-Label Classifier
Misgina Tsighe Hagos, Claes Lundström
Multi-label learning often requires identifying all relevant labels for training instances, but collecting full label annotations is costly and labor-intensive. In many datasets, o…
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty
Misgina Tsighe Hagos, Claes Lundström
Conformal prediction is a model-agnostic approach to generating prediction sets that cover the true class with a high probability. Although its prediction set size is expected to c…
Learning from Exemplary Explanations
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
eXplanation Based Learning (XBL) is a form of Interactive Machine Learning (IML) that provides a model refining approach via user feedback collected on model explanations. Although…
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks
Niamh Belton, Misgina Tsighe Hagos, Aonghus Lawlor +1
Recent Anomaly Detection techniques have progressed the field considerably but at the cost of increasingly complex training pipelines. Such techniques require large amounts of trai…
Posture Prediction for Healthy Sitting using a Smart Chair
Tariku Adane Gelaw, Misgina Tsighe Hagos
Poor sitting habits have been identified as a risk factor to musculoskeletal disorders and lower back pain especially on the elderly, disabled people, and office workers. In the cu…