Detecting non-technical energy losses through structural periodic patterns in AMI data. - Viktor Botev; Magnus Almgren; Vincenzo Gulisano; Olaf Landsiedel; Marina Papatriantafilou; Joris van Rooij (IEEE BigData, 2016)

Word importance-based similarity of documents metric (WISDM): Fast and scalable document similarity metric for analysis of scientific documents. - Viktor Botev; Kaloyan Marinov; Florian Schäfer 001 (WOSP@JCDL, 2017)

Domain-adaptation of spherical embeddings. - Mihalis Gongolidis; Jeremy Minton; Ronin Wu; Valentin Stauber; Jason Hoelscher-Obermaier; Viktor Botev (CoRR, 2021)

ACT2: A multi-disciplinary semi-structured dataset for importance and purpose classification of citations. - Suchetha Nambanoor Kunnath; Valentin Stauber; Ronin Wu; David Pride; Viktor Botev; Petr Knoth (LREC, 2022)

Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation. - Jason Hoelscher-Obermaier; Edward Stevinson; Valentin Stauber; Ivaylo Zhelev; Viktor Botev; Ronin Wu; Jeremy Minton (CoRR, 2022)

Searching for Carriers of the Diffuse Interstellar Bands Across Disciplines, using Natural Language Processing. - Corentin van den Broek d'Obrenan; Frédéric Galliano; Jeremy Minton; Viktor Botev; Ronin Wu (CoRR, 2022)