Web and Big Data: 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part I von Wang, Xin, Zhang, Rui, Lee, Young-Koo, Sun, Le, Moon, Yang-Sae

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Web and Big Data: 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part II von Wang, Xin, Zhang, Rui, Lee, Young-Koo, Sun, Le, Moon, Yang-Sae

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Database Systems for Advanced Applications: 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part I von Nah, Yunmook, Cui, Bin, Lee, Sang-Won, Yu, Jeffrey Xu, Moon, Yang-Sae, Whang, Steven Euijong

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Database Systems for Advanced Applications: 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part II von Nah, Yunmook, Cui, Bin, Lee, Sang-Won, Yu, Jeffrey Xu, Moon, Yang-Sae, Whang, Steven Euijong

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Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning von Kastrin, Andrej, Ferk, Polonca, Leskošek, Brane

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OpenVigil FDA - Inspection of U.S. American Adverse Drug Events Pharmacovigilance Data and Novel Clinical Applications von Böhm, Ruwen, von Hehn, Leocadie, Herdegen, Thomas, Klein, Hans-Joachim, Bruhn, Oliver, Petri, Holger, Höcker, Jan

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Computational identification, characterization and validation of potential antigenic peptide vaccines from hrHPVs E6 proteins using immunoinformatics and computational systems biol... von Khan, Abbas, Junaid, Muhammad, Kaushik, Aman Chandra, Ali, Arif, Ali, Syed Shujait, Mehmood, Aamir, Wei, Dong-Qing

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Drug drug interaction extraction from the literature using a recursive neural network von Lim, Sangrak, Lee, Kyubum, Kang, Jaewoo

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Forecasting short-term data center network traffic load with convolutional neural networks von Mozo, Alberto, Ordozgoiti, Bruno, Gómez-Canaval, Sandra

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A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis von McGinnis, Ryan S, Mahadevan, Nikhil, Moon, Yaejin, Seagers, Kirsten, Sheth, Nirav, Wright, Jr, John A, DiCristofaro, Steven, Silva, Ikaro, Jortberg, Elise, Ceruolo, Melissa, Pindado, Jesus A, Sosnoff, Jacob, Ghaffari, Roozbeh, Patel, Shyamal

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Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017, Revised Selected Papers von Kang, U, Lim, Ee-Peng, Yu, Jeffrey Xu, Moon, Yang-Sae

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Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease von Gardiner, Laura-Jayne, Carrieri, Anna Paola, Bingham, Karen, Macluskie, Graeme, Bunton, David, McNeil, Marian, Pyzer-Knapp, Edward O

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Identification of hand-foot syndrome from cancer patients' blog posts: BERT-based deep-learning approach to detect potential adverse drug reaction symptoms von Nishioka, Satoshi, Watanabe, Tomomi, Asano, Masaki, Yamamoto, Tatsunori, Kawakami, Kazuyoshi, Yada, Shuntaro, Aramaki, Eiji, Yajima, Hiroshi, Kizaki, Hayato, Hori, Satoko

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Non-Steroidal Anti-Inflammatory Drugs (NSAIDs): Usage and co-prescription with other potentially interacting drugs in elderly: A cross-sectional study von Abdu, Nuru, Mosazghi, Asmerom, Teweldemedhin, Samuel, Asfaha, Luwam, Teshale, Makda, Kibreab, Mikal, Anand, Indermeet Singh, Tesfamariam, Eyasu H., Russom, Mulugeta

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Understanding the dynamics of terrorism events with multiple-discipline datasets and machine learning approach von Ding, Fangyu, Ge, Quansheng, Jiang, Dong, Fu, Jingying, Hao, Mengmeng

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Predicting activatory and inhibitory drug-target interactions based on structural compound representations and genetically perturbed transcriptomes von Lee, Won-Yung, Lee, Choong-Yeol, Kim, Chang-Eop

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Discovery of new drug indications for COVID-19: A drug repurposing approach von Kumari, Priyanka, Pradhan, Bikram, Koromina, Maria, Patrinos, George P, Steen, Kristel Van

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Predicting adverse drug effects: A heterogeneous graph convolution network with a multi-layer perceptron approach von Chen, Y-H, Shih, Y-T, Chien, C-S, Tsai, C-S

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Analysis of factors associated with hiccups based on the Japanese Adverse Drug Event Report database von Hosoya, Ryuichiro, Uesawa, Yoshihiro, Ishii-Nozawa, Reiko, Kagaya, Hajime

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Analysis of drug-induced hearing loss by using a spontaneous reporting system database von Tanaka, Mizuki, Hasegawa, Shiori, Nakao, Satoshi, Shimada, Kazuyo, Mukai, Ririka, Matsumoto, Kiyoka, Nakamura, Mitsuhiro

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