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Or Elroy, Gordon Woo, Nadejda Komendantova, Abraham Yosipof, A dual-focus analysis of wikipedia traffic and linguistic patterns in public risk awareness Post-Charlie Hebdo, Computers in Human Behavior Reports, Volume 17, 2025, 100580
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Yosipof, A., Song, Y., Drori, N., Gradovitch, N., & Braune, E. (2024). Crowdfunding technology projects: The impact of textual characterization on project success. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, 41(4), 531–548.
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Berman, J., Aperstein, Y., & Yosipof, A. (2024). Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra Using Gradient Boosting. In: Artificial Neural Networks and Machine Learning – ICANN 2024. Eds. Wand, M., Malinovská, K., Schmidhuber, J., & Tetko, I.V., pp. 31-42 Springer.
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Senderowitz, H., Bahia, M.S., Kaspi, O., Touitou, M., Binayev, I., Dhail, S., Spiegel, J., Khazanov, N. and Yosipof, A. (2023), A Comparison between 2D and 3D Descriptors in QSAR Modeling Based on Bio-Active Conformations. Mol. Inf.. .
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Elroy, O., Yosipof, A. (2023). Semi-Supervised Learning Classifier for Misinformation Related to Earthquakes Prediction on Social Media. In: Iliadis, L., Papaleonidas, A., Angelov, P., Jayne, C. (eds) Artificial Neural Networks and Machine Learning – ICANN 2023. ICANN 2023. Lecture Notes in Computer Science, vol 14254. Springer, Cham. https://doi.org/10.1007/978-3-031-44207-0_22
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Elroy, O., Erokhin, D., Komendantova, N., Yosipof, A. (2023). Mining the Discussion of Monkeypox Misinformation on Twitter Using RoBERTa. In: Maglogiannis, I., Iliadis, L., MacIntyre, J., Dominguez, M. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 675. Springer, Cham.
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Dallo, I., Elroy, O., Fallou, L. et al. Dynamics and characteristics of misinformation related to earthquake predictions on Twitter. Sci Rep 13, 13391 (2023).
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Abraham Yosipof, Gordon Woo, Nadejda Komendantova, Persistence of risk awareness: Manchester arena bombing on 22 May 2017, International Journal of Disaster Risk Reduction, Volume 94, 2023, 103805
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Elroy, O., Yosipof, A. (2022). Analysis of COVID-19 5G Conspiracy Theory Tweets Using SentenceBERT Embedding. In: Pimenidis, E., Angelov, P., Jayne, C., Papaleonidas, A., Aydin, M. (eds) Artificial Neural Networks and Machine Learning – ICANN 2022. ICANN 2022. Lecture Notes in Computer Science, vol 13530. Springer, Cham.
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Dmitry Erokhin , Abraham Yosipof, and Nadejda Komendantova (2022) COVID-19 Conspiracy Theories Discussion on Twitter. Social Media + Society
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Yosipof, A., Khalemsky, A., Gelbard, R. and Senderowitz, H. (2021), Dynamic Classification for Materials-Informatics: Mining the Solar Cell Space. Mol. Inf..
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Yang Song, Ron Berger, Abraham Yosipof, Bradley R. Barnes, Mining and investigating the factors influencing crowdfunding success, Technological Forecasting and Social Change, Volume 148, 2019
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Senderowitz H., Yosipof A., Kaspi O. (2019) Application of Materials Informatics Tools to the Analysis of Combinatorial Libraries of All Metal-Oxides Photovoltaic Cells. In: Tetko I., Kůrková V., Karpov P., Theis F. (eds) Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions. ICANN 2019. Lecture Notes in Computer Science, vol 11731. Springer, Cham.
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Yosipof, A.; Guedes, R. C.; García-Sosa, A. T., Data Mining and Machine Learning Models for Predicting Drug Likeness and Their Disease or Organ Category. Frontiers in Chemistry 2018, 6 (162).
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Kaspi, O.; Yosipof, A.; Senderowitz, H., PV Analyzer: A Decision Support System for Photovoltaic Solar Cells Libraries, Molecular Informatics 2018, accepted for publication.
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Kaspi, O.; Yosipof, A.; Senderowitz, H., RANdom SAmple Consensus (RANSAC) algorithm for material-informatics: application to photovoltaic solar cells. Journal of Cheminformatics 2017, 9, 34.
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Yosipof, A.; Kaspi, O.; Majhi, K.; Senderowitz, H., Visualization Based Data Mining for Comparison Between Two Solar Cell Libraries. Molecular Informatics 2016, 35, 622-628.
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Yosipof, A.; Shimanovich, K.; Senderowitz, H., Materials Informatics: Statistical Modeling in Material Science. Molecular Informatics 2016, 35, 568-579.
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Abraham Yosipof and Hanoch Senderowitz (2016). Optimization Algorithms for Chemoinformatics and Material-informatics, Optimization Algorithms- Methods and Applications, Associate Prof. Ozgur Baskan (Ed.), InTech,