Published on in Vol 21, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12957, first published .
The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study

The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study

The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study

Journals

  1. Garcia-Rudolph A, Saurí J, Cegarra B, Bernabeu Guitart M. Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit. JMIR Medical Informatics 2020;8(11):e17903 View
  2. Pradhan T, Gupta A, Pal S. HASVRec: A modularized Hierarchical Attention-based Scholarly Venue Recommender system. Knowledge-Based Systems 2020;204:106181 View
  3. Alfarhood M, Cheng J. CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles. IEEE Access 2020;8:183633 View
  4. Vekaria K, Calyam P, Sivarathri S, Wang S, Zhang Y, Pandey A, Chen C, Xu D, Joshi T, Nair S. Recommender‐as‐a‐service with chatbot guided domain‐science knowledge discovery in a science gateway. Concurrency and Computation: Practice and Experience 2021;33(19) View
  5. Pradhan T, Kumar P, Pal S. CLAVER: An integrated framework of convolutional layer, bidirectional LSTM with attention mechanism based scholarly venue recommendation. Information Sciences 2021;559:212 View
  6. Guruge D, Kadel R, Halder S. The State of the Art in Methodologies of Course Recommender Systems—A Review of Recent Research. Data 2021;6(2):18 View
  7. Zhang L, Tian Z. Research on the recommendation of aerobics music adaptation based on computer aided design software. Journal of Intelligent & Fuzzy Systems 2021:1 View
  8. Cortes M, Gonzalez L, Gunn L, ter Horst E, Molina G, Restrepo S, Zambrano J. Assessment of Research Topic Prevalence by Journal Impact Quartile in Oral Health Sciences Using Bayesian Methods. SAGE Open 2021;11(3):215824402110318 View
  9. Khan S, Alam M. Preprocessing framework for scholarly big data management. Multimedia Tools and Applications 2023;82(25):39719 View
  10. Hidayat D, Sensuse D, Elisabeth D, Hasani L. Conceptual model of knowledge management system for scholarly publication cycle in academic institution. VINE Journal of Information and Knowledge Management Systems 2022 View
  11. Sousa D, Couto F. Biomedical Relation Extraction With Knowledge Graph-Based Recommendations. IEEE Journal of Biomedical and Health Informatics 2022;26(8):4207 View
  12. Dhilleswararao P, Boppu S, Manikandan M, Cenkeramaddi L. Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey. IEEE Access 2022;10:131788 View
  13. Santos A, Mendonça S. Do papers (really) match journals’ “aims and scope”? A computational assessment of innovation studies. Scientometrics 2022;127(12):7449 View
  14. Vara N, Mirzabeigi M, Sotudeh H, Fakhrahmad S. Application of k-means clustering algorithm to improve effectiveness of the results recommended by journal recommender system. Scientometrics 2022;127(6):3237 View
  15. De Campos L, Fernandez-Luna J, Huete J. Publication Venue Recommendation Using Profiles Based on Clustering. IEEE Access 2022;10:106886 View
  16. Huynh S, Dang N, Nguyen D, Huynh P, Nguyen B. FPSRS: a fusion approach for paper submission recommendation system. Applied Intelligence 2023;53(8):8614 View
  17. Chen J, Baxter S. Applications of natural language processing in ophthalmology: present and future. Frontiers in Medicine 2022;9 View
  18. Nguyen D, Huynh S, Dinh C, Huynh P, Nguyen B. PSRMTE: Paper submission recommendation using mixtures of transformer. Expert Systems with Applications 2022;202:117096 View
  19. Sato R, Yamada M, Kashima H. Poincare: Recommending Publication Venues via Treatment Effect Estimation. Journal of Informetrics 2022;16(2):101283 View
  20. Zhang H, Guan R, Zhou F, Liang Y, Zhan Z, Huang L, Feng X. Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction. IEEE Access 2019;7:89354 View
  21. ZhengWei H, JinTao M, YanNi Y, Jin H, Ye T. Recommendation method for academic journal submission based on doc2vec and XGBoost. Scientometrics 2022;127(5):2381 View
  22. Liu C, Wang X, Liu H, Zou X, Cen S, Dai G. Learning to recommend journals for submission based on embedding models. Neurocomputing 2022;508:242 View
  23. Macri C, Bacchi S, Teoh S, Lim W, Lam L, Patel S, Slee M, Casson R, Chan W. Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis. Journal of Medical Internet Research 2023;25:e42789 View
  24. Panteli A, Boutsinas B. Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns. Algorithms 2023;16(4):182 View
  25. Varthis E, Poulos M. metaGraphos: a Web-based system for transcribing, proofreading and publishing scanned documents. Collection and Curation 2023;42(4):101 View
  26. Ahmed S, Alam M, Hassan M, Rozbu M, Ishtiak T, Rafa N, Mofijur M, Shawkat Ali A, Gandomi A. Deep learning modelling techniques: current progress, applications, advantages, and challenges. Artificial Intelligence Review 2023;56(11):13521 View
  27. Jin Y, Chang W, Ko B. Generating Chest X-Ray Progression of Pneumonia Using Conditional Cycle Generative Adversarial Networks. IEEE Access 2023;11:88152 View
  28. Entrup E, Eppelin A, Ewerth R, Hartwig J, Tullney M, Wohlgemuth M, Hoppe A. Comparing different search methods for the open access journal recommendation tool B!SON. International Journal on Digital Libraries 2023 View
  29. Kousha K, Thelwall M. Artificial intelligence to support publishing and peer review: A summary and review. Learned Publishing 2024;37(1):4 View
  30. Vara N, Rahimi F, Danesh F. Do LIS experts select more appropriate journals than journal finders? A study about LIS journals?. Journal of Librarianship and Information Science 2023 View
  31. Patel R, Thakkar P, Ukani V. CNNRec: Convolutional Neural Network based recommender systems - A survey. Engineering Applications of Artificial Intelligence 2024;133:108062 View
  32. Chang L, Jin X, Rao Y, Zhang X. Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network. Plant Methods 2024;20(1) View

Books/Policy Documents

  1. Huynh S, Huynh P, Nguyen D, Cuong D, Nguyen B. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. View
  2. Kleć M, Wieczorkowska A. Recommender Systems for Medicine and Music. View
  3. Huynh S, Dang N, Huynh P, Nguyen D, Nguyen B. Advances and Trends in Artificial Intelligence. From Theory to Practice. View
  4. Nair A, Anto O, Shaji A, George J. Data, Engineering and Applications. View
  5. Entrup E, Eppelin A, Ewerth R, Hartwig J, Tullney M, Wohlgemuth M, Hoppe A. Linking Theory and Practice of Digital Libraries. View
  6. Vernik M, Oleshchenko L. Advances in Computer Science for Engineering and Education VI. View