Qu’est-ce que Curlie ?

Je vais être bref parce que je l’ai déjà expliqué dans ce blog et ça n’a pas changé. Référez-vous à mon vieux billet sur le sujet. Curlie.org est un annuaire web libre et collaboratif. L’objectif est de référencer les sites internet les plus utiles, sur tous les sujets, dans toutes les langues. C’est un système de classification qui est une alternative au système de moteur de recherche basé sur les mots-clés. Libre parce que tout le monde peut utiliser le contenu pour créer son propre annuaire (sous conditions de citer Curlie bien entendu). Collaboratif dans le sens où ce sont des internautes volontaires et bénévoles qui alimentent cet annuaire. C’est le plus ancien et le plus grand à ce jour.

A quoi sert Curlie ?

Initialement, c’était pour pallier la relative inefficacité des moteurs de recherche, à l’attention des internautes. Puis Google himself a utilisé l’annuaire pour repérer les sites les plus pertinents pour ses résultats de recherche, c’était donc à l’époque plutôt utile aux développeurs web et référenceurs. Mais il y a un autre « produit » de Curlie, c’est sa structure. Au fil des années, des décennies, la classification s’est étoffée et affinée. Et ça, ça intéresse certaines personnes, notamment les chercheurs en ontologie, ceux qui s’intéressent aux systèmes d’organisation et de classification.

Dans ce billet, je vous propose tout simplement une liste des publications scientifiques qui ont utilisé et/ou discuté de Curlie (l’entité créée en 2017, pas DMOZ ou ODP, l’entité précédente). Soit comme objet d’étude, soit comme outil ou soit, tout simplement, comme source d’information. De la plus récente à la plus ancienne pour l’instant.

J’ai donc trouvé près de 130 références (articles scientifiques, thèses, livres ou chapitres, conférences et quelques rapports) dont 90 au moins qui utilisent ou ont Curlie pour sujet, les autres utilisent l’annuaire comme référence bibliographique. Je pense qu’il y a du tri à faire (il doit y avoir des faux positifs), de la classification aussi (pour mieux savoir qui fait quoi avec Curlie, dans quel but, etc.). Je ferai ça plus tard. En tout cas, je suis très étonné de voir autant de travaux qui utilisent le site actuel. DMOZ/ODP était connu et avait pignon sur rue mais ça n’est plus le cas pour Curlie. Je trouve ça très gratifiant pour l’éditeur Curlie que je suis.

J’ai exceptionnellement ouvert les commentaires sur cet article, n’hésitez pas à me donner votre retour sur Curlie, d’autant plus si vous être un des auteurs cités. Je finis là et je vous laisse avec cette liste.

Articles scientifiques

Alanoğlu, Z., & Akçayol, M. (2023). Web Tarayıcıları için Etkili Tohum URL Seçimi ve Kapsam Genişletme Algoritması. International Journal of Advances in Engineering and Pure Sciences, 35(1), 27-38.

Alanoğlu, Z., & Akçayol, M. A. (2023). Web Tarayıcılarında Tohum URL Seçimi ve Performans Analizi: Kapsamlı Bir İnceleme. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 11(3), 1399-1423.

Baggio, C., Lorenzetti, C. M., Cecchini, R. L., & Maguitman, A. G. (2023). Multi-objective genetic programming strategies for topic-based search with a focus on diversity and global recall. PeerJ Computer Science, 9, e1710.

Hu, T., Xu, C., Zhang, S., Tao, S., & Li, L. (2023). Cross-site scripting detection with two-channel feature fusion embedded in self-attention mechanism. Computers & Security, 124, 102990.

Lee, Y., & Byun, H. (2023). L-rCBF: Learning-Based Key–Value Data Structure for Dynamic Data Processing. Applied Sciences, 13(22), 12116.

Rao, S. X., Egger, P. H., & Zhang, C. (2023). Hierarchical Classification of Research Fields in the » Web of Science » Using Deep Learning. arXiv preprint arXiv:2302.00390.

Shevchenko, O., & Sprynsyan, V. (2023). News programs and news journalism: main trends in quality improvement. State and Regions. Series: Social Communications(1 (53)), 87-93.

Thajeel, I. K. T., Samsudin, K., Hashim, S. J., & Hashim, F. (2023). Machine and Deep Learning-based XSS Detection Approaches: A Systematic Literature Review. Journal of King Saud University-Computer and Information Sciences, 101628.

Zieni, R., Massari, L., & Calzarossa, M. C. (2023). Phishing or Not Phishing? A Survey on the Detection of Phishing Websites. IEEE Access, 11, 18499-18519. doi: 10.1109/ACCESS.2023.3247135

이예지, & 변하영. (2023). 함수 블룸필터를 개선하는 분할된 학습 블룸필터 구조. 대한전자공학회 학술대회, 822-824.

Chu, T., Garcia-Recuero, A., Iordanou, C., Smaragdakis, G., & Laoutaris, N. (2022). Securing Federated Sensitive Topic Classification against Poisoning Attacks. arXiv preprint arXiv:2201.13086.

dos Reis, F. M. A. P. (2022). Hierarchical Classification of Pages: Combining Semantic and Web Graph Contents.

Król, K., & Zdonek, D. (2022). Digital artefacts of rural tourism: the case study of Poland. Global Knowledge, Memory and Communication.

Krzesaj, M. (2022). Tools of improving the quality of information on websites. Scientific Papers of Silesian University of Technology. Organization & Management/Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie(163).

Kuznetsov, M., Novikova, E., Kotenko, I., & Doynikova, E. (2022). Privacy Policies of IoT Devices: Collection and Analysis. Sensors, 22(5). doi: 10.3390/s22051838

Limongelli, C., Lombardi, M., Marani, A., & Taibi, D. (2022). A semantic approach to ranking techniques: Improving web page searches for educational purposes. IEEE Access, 10, 68885-68896.

Morawietz, H. (2022). Erfolgreich suchen im Internet: Stichwort-, Katalog-und Spezial-Suchmaschinen. Schulmagazin 5-10, 2022(3+ 4), 30-33.

Rayan, A. (2022). Analysis of e-Mail Spam Detection Using a Novel Machine Learning-Based Hybrid Bagging Technique. Computational Intelligence and Neuroscience, 2022, 2500772. doi: 10.1155/2022/2500772

Sa, N., & Yuan, X. (2022). Improving the effectiveness of voice search systems through partial query modification. Journal of the Association for Information Science and Technology, 73(8), 1092-1105.

Sahabi, M. K., Efe, O. E., & Ebunuwele, G. E. (2022). Librarians in Digital Age: The Mediating Functions in Provision of Effective Information Services in Nigerian Academic Libraries. Knowledge Management in Higher Education Institutions, 233.

Silem, A. E. H., Taktak, H., & Moussa, F. (2022). User interests profiling using fuzzy regression tree. International Journal of Ad Hoc and Ubiquitous Computing, 41(3), 191-203.

Suchomel, V., & Kraus, J. (2022). Semi-Manual Annotation of Topics and Genres in Web Corpora. RASLAN 2022 Recent Advances in Slavonic Natural Language Processing, 141.

Suman, A. K., & Patel, M. (2022). Web Directories: A Searching Tool. Knowledge Management in Higher Education Institutions, 169.

Vallina Rodríguez, P. (2022). Advanced methods to audit online web services.

이예지, & 변하영. (2022). 동적 데이터의 삭제를 위한 학습된 반환값 카운팅 블룸필터. 대한전자공학회 학술대회, 689-692.

Biagetti, M. T. (2021). Ontologies as Knowledge Organization Systems. Knowledge Organization, 48(2), 152-176. doi: 10.5771/0943-7444-2021-2-152

Birhane, A., Prabhu, V. U., & Kahembwe, E. (2021). Multimodal datasets: misogyny, pornography, and malignant stereotypes. arXiv preprint arXiv:2110.01963.

Butt, M. I., Asghar, J., & Ali, G. (2021). The Crisis of Representation in Pakistani Literature and a Plea for a Linguistic Liberation. Kashmir Journal of Language Research, 24(1).

Byun, H., & Lim, H. (2021). Learned FBF: Learning-Based Functional Bloom Filter for Key–Value Storage. IEEE Transactions on Computers, 71(8), 1928-1938.

Faroughi, A., Morichetta, A., Vassio, L., Figueiredo, F., Mellia, M., & Javidan, R. (2021). Towards website domain name classification using graph based semi-supervised learning. Computer Networks, 188, 107865.

Huber, P., Aghajanyan, A., Oğuz, B., Okhonko, D., Yih, W.-t., Gupta, S., & Chen, X. (2021). CCQA: A new web-scale question answering dataset for model pre-training. arXiv preprint arXiv:2110.07731.

Lewandowski, D., & Lewandowski, D. (2021). Formen der Suche im Web. Suchmaschinen verstehen, 13-27.

Madan, K., & Bhatia, R. (2021). Crawling the Deep Web Using Asynchronous Advantage Actor Critic Technique. Journal of Web Engineering, 20(3), 879-902.

Madan, K., & Bhatia, R. K. (2021). Ranked deep web page detection using reinforcement learning and query optimization. International Journal on Semantic Web and Information Systems, 17(4), 99-121. doi: 10.4018/IJSWIS.2021100106

Nandanwar, A. K., Choudhary, J., & Singh, D. P. (2021). Web search personalization based on the principle of the ant colony. Procedia Computer Science, 189, 100-107.

Syrmoudis, E., Mager, S., Kuebler-Wachendorff, S., Pizzinini, P., Grossklags, J., & Kranz, J. (2021). Data Portability between Online Services: An Empirical Analysis on the Effectiveness of GDPR Art. 20. Proc. Priv. Enhancing Technol., 2021(3), 351-372.

Wei, C., Gu, Q., Ji, S., Chen, W., Wang, Z., & Beyah, R. (2021). OB-WSPES: A Uniform Evaluation System for Obfuscation-Based Web Search Privacy. IEEE Transactions on Dependable and Secure Computing, 18(6), 2719-2735. doi: 10.1109/TDSC.2019.2962440

Wirtz, B. W., & Wirtz, B. W. (2021). Digital B2C Business Models. Digital Business and Electronic Commerce: Strategy, Business Models and Technology, 311-378.

Xamena, E., Brignole, N. B., & Maguitman, A. G. (2021). Structural analysis of relevance propagation models. Knowledge-Based Systems, 234, 107563.

Xu, L., & Zhou, X. (2021). A crowd-powered task generation method for study of struggling search. Data Science and Engineering, 6(4), 472-484.

Zaeem, R. N., & Barber, K. S. (2021). Human and Privacy Rights.

Alli, M. (2020). Result Page Generation for Web Searching: Emerging Research and Opportunities: Emerging Research and Opportunities.

Babenko, V., Koniaieva, Y., Yevchuk, L., Dikan, O., Tokmakova, I., & Korin, M. (2020). Study of innovative susceptibility of low potentional energy technologies in Ukraine. Estudios de Economia Aplicada, 38(4). doi: 10.25115/EEA.V38I4.4095

Babenko, V., Rayevnyeva, O., Zherlitsyn, D., Dovgal, O., Natalia, G., & Tetyana, M. (2020). Dynamics of forecasting the development of renewable energy technologies in ukraine and chile. International Journal of Industrial Engineering and Production Research, 31(4), 587-596. doi: 10.22068/ijiepr.31.4.587

De La Torre Parra, G., Rad, P., Choo, K. K. R., & Beebe, N. (2020). Detecting Internet of Things attacks using distributed deep learning. Journal of Network and Computer Applications, 163. doi: 10.1016/j.jnca.2020.102662

Dwiyatno, S. (2020). Analisis Monitoring Sistem Jaringan Komputer Menggunakan Software Nmap. PROSISKO: Jurnal Pengembangan Riset Dan Observasi Sistem Komputer, 7(2), 108-115.

García-Sánchez, F., Colomo-Palacios, R., & Valencia-García, R. (2020). A social-semantic recommender system for advertisements. Information Processing & Management, 57(2), 102153.

Hong, T., Choi, J.-A., Lim, K., & Kim, P. (2020). Enhancing personalized ads using interest category classification of SNS users based on deep neural networks. Sensors, 21(1), 199. doi: 10.3390/s21010199

Li, P., Mao, K., Xu, Y., Li, Q., & Zhang, J. (2020). Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base. Knowledge-Based Systems, 193, 105436.

Remmy, M. (2020). The X Marks the Spot–Using Geo-games in Teaching Archaeology. COMMUNICATING THE PAST, 127.

Suchomel, V. (2020). Better Web Corpora For Corpus Linguistics And NLP. Doctoral Theses. Brno: Masaryk University, Faculty of Informatics.

Zowalla, R., Wetter, T., & Pfeifer, D. (2020). Crawling the German health web: Exploratory study and graph analysis. Journal of medical Internet research, 22(7). doi: 10.2196/17853

변하영, & 임혜숙. (2020). 딥러닝 기반의 학습된 함수 블룸필터 구조. 대한전자공학회 학술대회, 707-709.

Iordanou, C., Smaragdakis, G., & Laoutaris, N. (2019). Who’s Tracking Sensitive Domains? arXiv preprint arXiv:1908.02261.

Joshi, S., & Joshi, S. (2019). Phishing Urls Detection Using Machine Learning Techniques.

McIlvanie, K. (2019). Seeking Equality in Wages for Employees with Intellectual and Developmental Disabilities. N. Ill. UL Rev., 40, 70.

Pereira, J., & Díaz, Ó. (2019). Using health chatbots for behavior change: a mapping study. Journal of medical systems, 43(5), 1-13. doi: 10.1007/s10916-019-1237-1

Ryazanova, S. V. (2019). Time as a factor of organization of aesthetic reality. Opcion, 35(Special Issue 19), 2337-2365.

Wong, J., & Henderson, T. (2019). The right to data portability in practice: Exploring the implications of the technologically neutral GDPR. International Data Privacy Law, 9(3), 173-191. doi: 10.1093/idpl/ipz008

Wu, D., Dong, J., & Liu, C. (2019). Exploratory study of cross-device search tasks. Information Processing & Management, 56(6), 102073.

Kim, K.-M., Ryu, W.-J., Park, J.-H., & Lee, S. (2018). meChat: In-Device Personal Assistant for Conversational Photo Sharing. IEEE Internet Computing, 23(2), 23-30.

Pala, S. R., & Chintalapati, P. (2018). Categorizing drugs and explicit Websites using text mining: Text Based Categorization.

Van Lier, S., de Vries, A., & Herder, E. (2018). Robustness of federated averaging for non-iid data. Robustness of federated averaging for non-iid data.

del Estado, G. S. (2017). Republic of Peru República del Perú (Spanish). Ethnic groups, 45.

Bouchard, A. Recherche d’informations sur internet (perfectionnement).

Cube, M. Rubik’s Cube.

Cunningham, W. Wickepedia Wiki.

East, A. N., Post, E., Turing, A., Rosser, J., & Kleene, S. History: Development of the notion of » algorithm.

Mulhem, P., & LIG-Lydie du Bousquet, L. Web search engine biases.

Налобіна, О. Мехатроніка та роботизовані комплекси у гірничо-металургійному виробництві.

Thèses

Vallina, P. (2023). Advanced Methods to Audit Online Web Services. Universidad Carlos III de Madrid, Spain.  

Papčo, R. (2022). Topic classification for web corpora: Method comparison and crosslingual transfer. Master’s thesis, Masaryk University.  

Schwitter, N. (2022). The role of offline ties in online communities: the case of Wikipedia. University of Warwick.  

Ορόβας, Α. (2022). Εφαρμογές τηλεμετρίας σε κέντρα εκπομπής και αναμεταδότες τηλεοπτικού και ραδιοφωνικού σήματος. Πανεπιστήμιο Δυτικής Μακεδονίας. Σχολή Θετικών Επιστημών. Τμήμα Πληροφορικής.  

Schulze, F. (2020). Objektbeschreibende Metadaten in der Deutschen Digitalen Bibliothek. Humboldt-Universität zu Berlin.  

Waddell, S. (2020). CatchPhish: A URL and Anti-Phishing Research Platform. Master’s thesis. University of Edinburgh.   

Gili Bueno, G. (2019). Topical web-page classification with similarity neural networks. Universitat Politècnica de Catalunya.  

Han, M. (2018). Reinforcement learning approaches in dynamic environments. Télécom ParisTech.  

Lombardi, M. (2018). PhD Thesis Discovering Educational Resources on the Web for Technology Enhanced Learning Applications. Griffith University, Australia.  

O’Rourke, G. (2018). The Search for the Searcher: Understanding User Behaviour through Search Log Analysis. Trinity College.  

Hüsem, S. Ş. (2017). Veri madenciliği teknikleriyle Türkçe web sayfalarının kategorize edilmesi. Fatih Sultan Mehmet Vakıf Üniversitesi, Mühendislik ve Fen Bilimleri Enstitüsü.  

Aragão, R. M. L. d. Patterns of lexis in the research article genre: a contrastive study of lexical priming in English, Portuguese and Japanese. Universidade de São Paulo.  

Livres et chapitres

Cyr, C., & Dorsey, D. (2023). Jinja, Macros, and Packages Unlocking dbt: Design and Deploy Transformations in Your Cloud Data Warehouse (pp. 191-230): Springer.

Lewandowski, D. (2023a). Understanding Search Engines: Springer Nature.

Lewandowski, D. (2023b). Ways of Searching the Web Understanding Search Engines (pp. 11-23): Springer.

Wu, D., Dong, J., & Liang, S. (2022). Cross-device Web Search: Routledge.

Lewandowski, D. (2015). Suchmaschinen verstehen: Springer.

Conférences

Asghari, H., Hewett, F., & Züger, T. (2023). On the Prevalence of Leichte Sprache on the German Web. Paper presented at the Proceedings of the 15th ACM Web Science Conference 2023.

Asif, A. U. Z., Shirazi, H., & Ray, I. (2023). Machine Learning-Based Phishing Detection Using URL Features: A Comprehensive Review. Paper presented at the International Symposium on Stabilizing, Safety, and Security of Distributed Systems.

Bekos, P., Papadopoulos, P., Markatos, E. P., & Kourtellis, N. (2023). The Hitchhiker’s Guide to Facebook Web Tracking with Invisible Pixels and Click IDs. Paper presented at the ACM Web Conference 2023 – Proceedings of the World Wide Web Conference, WWW 2023.

Fergina, A., Setia, M. I., Yusuf, M., Fauzan, M. A., Aryani, D., & Maulina, S. F. (2023). Analisis Monitoring Sistem Keamanan Jaringan Komputer menggunakan Software NMAP (Studi Kasus Jaringan di Universitas Nusa Putra). Paper presented at the Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer (SENTIMETER).

Pegioudis, J., Papadogiannakis, E., Kourtellis, N., Markatos, E. P., & Papadopoulos, P. (2023). Not only E.T. Phones Home: Analysing the Native User Tracking of Mobile Browsers. Paper presented at the Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC.

Raschke, P., Herbke, P., & Schwerdtner, H. (2023). t. ex-Graph: Automated Web Tracker Detection Using Centrality Metrics and Data Flow Characteristics. Paper presented at the ICISSP.

Harrison, J. B., Harrison, J. R., Boswell, M. G., & Michaels, A. J. (2022). A Hierarchical Database of One Million Websites. Paper presented at the Proceedings – 2022 IEEE Secure Development Conference, SecDev 2022.

Lugeon, S., Piccardi, T., & West, R. (2022). Homepage2Vec: Language-Agnostic Website Embedding and Classification. Paper presented at the Proceedings of the International AAAI Conference on Web and Social Media.

Gaifulina, D., & Kotenko, I. (2021). Selection of Deep Neural Network Models for IoT Anomaly Detection Experiments. Paper presented at the Proceedings – 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2021.

Nokhbeh Zaeem, R., & Barber, K. S. (2021). A large publicly available corpus of website privacy policies based on dmoz. Paper presented at the Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy.

Sulaga, D. T., Maag, A., Seher, I., & Elchouemi, A. (2021). Using Deep learning for network traffic prediction to secure Software networks against DDoS attacks. Paper presented at the 2021 6th International Conference on Innovative Technology in Intelligent System and Industrial Applications (CITISIA).

Ablyaev, M., Abliakimova, A., & Seidametova, Z. (2020). Developing a Mobile Augmented Reality Application for Enhancing Early Literacy Skills. Paper presented at the Communications in Computer and Information Science.

Bakaev, M., Speicher, M., Heil, S., & Gaedke, M. (2020). I Don’t Have That Much Data! Reusing user behavior models for websites from different domains. Paper presented at the International Conference on Web Engineering.

Färber, M., Scheer, B., & Bartscherer, F. (2020). Who’s Behind That Website? Classifying Websites by the Degree of Commercial Intent. Paper presented at the Web Engineering: 20th International Conference, ICWE 2020, Helsinki, Finland, June 9–12, 2020, Proceedings 20.

Jakubíček, M., Kovář, V., Rychlý, P., & Suchomel, V. (2020). Current challenges in web corpus building. Paper presented at the Proceedings of the 12th Web as Corpus Workshop.

Kim, K.-M., Hyeon, B., Kim, Y., Park, J.-H., & Lee, S. (2020). Multi-pretraining for large-scale text classification. Paper presented at the Findings of the Association for Computational Linguistics: EMNLP 2020.

Mackenzie, J., Benham, R., Petri, M., Trippas, J. R., Culpepper, J. S., & Moffat, A. (2020). CC-News-En: A large English news corpus. Paper presented at the Proceedings of the 29th ACM International Conference on Information & Knowledge Management.

Matic, S., Iordanou, C., Smaragdakis, G., & Laoutaris, N. (2020). Identifying Sensitive URLs at Web-Scale. Paper presented at the Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC.

Srdjan, M., Iordanou, C., Georgios, S., & Laoutaris, N. (2020). Identifying sensitive urls at web-scale. Paper presented at the The 20th ACM Internet Measurement Conference (ACM IMC 2020).

Vallina, P., Le Pochat, V., Feal, A., Paraschiv, M., Gamba, J., Burke, T., . . . Vallina-Rodriguez, N. (2020). Mis-shapes, Mistakes, Misfits: An Analysis of Domain Classification Services. Paper presented at the Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC.

Xu, L., Zhou, X., & Gadiraju, U. (2020). Taskgenie: crowd-powered task generation for struggling search. Paper presented at the International conference on web information systems engineering.

Ablyaev, M., Abliakimova, A., & Seidametova, Z. (2019). Design of mobile augmented reality system for early literacy. Paper presented at the CEUR Workshop Proceedings.

Ablyaev, M., Abliakimova, A., & Seidametova, Z. (2019). Developing a mobile augmented reality application for enhancing early literacy skills. Paper presented at the International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications.

Baggio, C., Cecchini, R. L., Maguitman, A. G., & Milios, E. E. (2019). Multi-Objective GP Strategies for Topical Search Integrating Wikipedia Concepts. Paper presented at the Proceedings of the ACM Symposium on Document Engineering 2019.

Blustein, J., Di Matteo, N. R., & Macrini, D. (2019). Designing experiments to compare web page segmenters. Paper presented at the HUMAN 2019 – Proceedings of the 2nd International Workshop on Human Factors in Hypertext.

Estivill-Castro, V., Lombardi, M., & Marani, A. (2019). Panel of Attribute Selection Methods to Rank Features Drastically Improves Accuracy in Filtering Web-pages Suitable for Education. Paper presented at the CSEDU (2).

Kim, K.-M., Kim, Y., Lee, J., Lee, J.-M., & Lee, S. (2019). From small-scale to large-scale text classification. Paper presented at the The World Wide Web Conference.

Lee, J.-H., Ryu, W.-J., Kim, K.-M., & Lee, S. (2019). MoCA: a novel privacy-preserving contextual advertising platform on mobile devices. Paper presented at the Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing.

Lee, J., Ryu, W.-J., Ahn, Y., Lee, S.-E., Kim, K.-M., Park, J.-H., & Lee, S. (2019). meChat: In-device Conversational Photo Sharing Service. Paper presented at the Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services.

Lee, S.-E., Kim, K.-M., Ryu, W.-J., Park, J., & Lee, S. (2019). From text classification to keyphrase extraction for short text. Paper presented at the 2019 IEEE International Conference on Big Data (Big Data).

Aliyeva, D., Kim, K.-M., Choi, B.-J., & Lee, S. K. (2018). Combining Dual Word Embeddings with Open Directory Project Based Text Classification. Paper presented at the 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC).

Gómez-Berbís, J. M., & Valencia-García, R. (2018). Ontology-Based Advertisement Recommendation in Social Networks. Paper presented at the Distributed Computing and Artificial Intelligence, 15th International Conference.

Han, M., Wuillemin, P.-H., & Senellart, P. (2018). Focused crawling through reinforcement learning. Paper presented at the Web Engineering: 18th International Conference, ICWE 2018, Cáceres, Spain, June 5-8, 2018, Proceedings 18.

Jun, S.-Y., Aliyeva, D., Lee, J.-M., & Lee, S. (2018). Utilizing probase in open directory project-based text classification. Paper presented at the 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Kim, K.-M., Dinara, A., Choi, B.-J., & Lee, S. (2018). Incorporating word embeddings into open directory project based large-scale classification. Paper presented at the Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II 22.

Lee, J.-M., Kim, K.-M., Kim, Y., & Lee, S. (2018). Improving Open Directory Project-Based Text Classification with Hierarchical Category Embedding. Paper presented at the 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC).

Svetsky, S., Moravcik, O., Tanuska, P., & Sakal, P. (2018). The IT support of knowledge management and transmission within community of researchers. Paper presented at the Proceedings of the International Conference on Intellectual Capital, Knowledge Management and Organisational Learning, ICICKM.

Wong, J., & Henderson, T. (2018). How portable is portable? Exercising the GDPR’s right to data portability. Paper presented at the UbiComp/ISWC 2018 – Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers.

Lombardi, M. (2016). Discovering Educational Resources on the Web for Technology Enhanced Learning Applications. Paper presented at the ICWL Doctoral Consortium.

Berman, B. P., Keerthivasan, M. B., Li, Z., Martin, D. R., Altbach, M. I., & Bilgin, A. (2015). Dictionary learning for compressive parameter mapping in magnetic resonance imaging. Paper presented at the Wavelets and Sparsity XVI.

Autres

Maina, M. F., Guàrdia, L., Albert, S., Antonaci, A., Uotinen, V., Altınpulluk, H., . . . Dunn, C. (2020). Design guidelines for flexible and scalable SLPs: European Association of Distance Teaching Universities.

Perkaz, A. (2018). Engineering Content-Centric Future Internet Applications.

Ici, la version anglaise de cet article