| Solving the 0/1 Knapsack Problem with Genetic Algorithms M Hristakeva, D Shrestha Midwest Instruction and Computing Symposium, 2004 | 84 | 2004 |
| Requirements for calibration in noninvasive glucose monitoring by Raman spectroscopy J Lipson, J Bernhardt, U Block, WR Freeman, R Hofmeister, M Hristakeva, ... Journal of diabetes science and technology 3 (2), 233-241, 2009 | 77 | 2009 |
| Different Approaches to Solve the 0/1 Knapsack Problem M Hristakeva, D Shrestha The Midwest Instruction and Computing Symposium, 2005 | 66 | 2005 |
| Teambeam-meta-data extraction from scientific literature R Kern, K Jack, M Hristakeva, M Granitzer D-Lib Magazine 18 (7), 1, 2012 | 46 | 2012 |
| Building recommender systems for scholarly information M Hristakeva, D Kershaw, M Rossetti, P Knoth, B Pettit, S Vargas, K Jack Proceedings of the 1st workshop on scholarly web mining, 25-32, 2017 | 39 | 2017 |
| A comparison of metadata extraction techniques for crowdsourced bibliographic metadata management M Granitzer, M Hristakeva, K Jack, R Knight Proceedings of the 27th annual ACM symposium on applied computing, 962-964, 2012 | 24 | 2012 |
| Mendeley’s open data for science and learning: a reply to the dataTEL challenge K Jack, M Hristakeva, R Garcia de Zuniga, M Granitzer International Journal of Technology Enhanced Learning 4 (1-2), 31-46, 2012 | 23 | 2012 |
| Mendeley: Recommendations for researchers S Vargas, M Hristakeva, K Jack Proceedings of the 10th ACM Conference on Recommender Systems, 365-365, 2016 | 21 | 2016 |
| A comparison of layout based bibliographic metadata extraction techniques M Granitzer, M Hristakeva, R Knight, K Jack, R Kern Proceedings of the 2nd International Conference on Web Intelligence, Mining …, 2012 | 20 | 2012 |
| On generating large-scale ground truth datasets for the deduplication of bibliographic records JA Hammerton, M Granitzer, D Harvey, M Hristakeva, K Jack Proceedings of the 2nd International Conference on Web Intelligence, Mining …, 2012 | 19 | 2012 |
| Effectively identifying users' research interests for scholarly reference management and discovery M Rossetti, S Vargas, D Magatti, B Pettit, D Kershaw, M Hristakeva, K Jack Proceedings of the 1st Workshop on Scholarly Web Mining, 17-24, 2017 | 8 | 2017 |
| {{citation needed}}: Filling in Wikipedia's Citation Shaped Holes. K Jack, P López-García, M Hristakeva, R Kern BIR@ ECIR, 45-52, 2014 | 7 | 2014 |
| Systems and methods for providing recommendations for academic and research entities A Gulli, M Hristakeva, K Jack US Patent 11,226,999, 2022 | 6 | 2022 |
| Different boosting algorithms and underlying optimization problems M Hristakeva Santa Cruz, USA: University of California, 2008 | 3 | 2008 |
| Academic Recommendations: The Mendeley Case M Hristakeva, D Kershaw, B Pettit, S Vargas, K Jack COLLABORATIVE RECOMMENDATIONS: Algorithms, Practical Challenges and …, 2019 | 1 | 2019 |
| Learning to Rank Research Articles D Kershaw, B Pettit, M Hristakeva, K Jack | | 2020 |
| Combining the Matching Loss with Partial Least Squares for Regression Problems M Hristakeva | | |
