Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning. - Iman Rezaeian; Eliseos J. Mucaki; Katherina Baranova; Huy Quang Pham; Dimo Angelov; Alioune Ngom; Luis Rueda 001; Peter K. Rogan (F1000Research, 2016)

Top2Vec: Distributed Representations of Topics. - Dimo Angelov (CoRR, 2020)

uOttawa at eRisk 2021: Automatic Filling of the Beck's Depression Inventory Questionnaire using Deep Learning. - Diana Inkpen; Ruba Skaik; Prasadith Buddhitha; Dimo Angelov; Maxwell Thomas Fredenburgh (CLEF (Working Notes), 2021)

Topic Modeling: Contextual Token Embeddings Are All You Need. - Dimo Angelov; Diana Inkpen (EMNLP (Findings), 2024)