Altsoph

Publications and conferences:

• “Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity”
  (Future Internet 2020)
• “Music generation with variational recurrent autoencoder supported by history”
  (Springer Nature Applied Science 2020)
• “Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativity”
  (ICCC 2020)
• “Drum Beats and Where To Find Them: Sampling Drum Patterns from a Latent Space”
  (ICCC 2020)
• “Learning Literary Style End-to-end with Artificial Neural Networks”
  (Adv. Sci. Technol. Eng. Syst. J. 4(6), 115-125 (2019))
• “Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites”
  (EMNLP 2019)
• “Decomposing Textual Information For Style Transfer”
  (EMNLP 2019, WNGT Workshop)
• “Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings”
  (NAACL 2019, SemEval Workshop)
• “Learning clusters through information diffusion”
  (TheWebConf 2019)
• “Community detection through likelihood optimization: in search of a sound model”
  (TheWebConf 2019)
• “Guess who? Multilingual approach for the automated generation of author-stylized poetry”
  (SLT 2018)
• “Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation”
  (EMNLP 2018, SIGMORPHON Workshop)*
• “I Feel You: What makes algorithmic experience personal?”
  (EVA Copenhagen 2018 - Politics of the Machines - Art and After)*
• “Community detection through likelihood optimization: in search of a sound model”
  (arxiv preprint, 2018)
• “Neurona: the album with a neural network generated poetry in style of Kurt Cobain”
  (NIPS4Creativity Workshop Art Gallery at NIPS 2017)
• “Music generation with variational recurrent autoencoder supported by history”
  (arxiv preprint, presented at Computer Music Multidisciplinary Research (CMMR 2017))
• “Government and Corruption: Scylla and Charybdis”
  (International Journal of Public Administration, 2017)
• “Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods”
  (Advances in Neural Information Processing Systems 29 (NIPS 2016))
• “What can be Found on the Web and How: A Characterization of Web Browsing Patterns”
  (in proceedings of WebSci'2015)
• “Parameter-Free Discovery and Recommendation of Areas-of-Interest”
  (in proceedings of SIGSPATIAL 2014)
• “Crawling policies based on web page popularity prediction”
  (in proceedings of ECIR 2014)
• “Studying Structure and Evolution of Search Engine Query Flow”
  (in proceedings of YSDA'2013)
• “Studying Page Life Patterns in Dynamical Web”
  (in proceedings of SIGIR'2013)
• “Analyzing conversations with dynamic graph visualization”
  (in proceedings of ISDA'2010)
• “Fuzzy. pattern search through the traces saved during the execution ('run-traces') of distributed computing systems”
  (in proceedings of MSO MSU, 2005)
• “Semantic information compression for the visualization of the run-traces of distributed computing systems”
  (in proceedings of MSO MSU, 2003)