Breadcrumbs

Research Publications 2020

  • Bahri, M., Bifet, A., Maniu, S., & Gomes, H. M. (2020) “Survey on feature transformation techniques for data streams.” Proc 29th International Joint Conference on Artificial Intelligence, Virtual, Yokohama, Japan, 4796-4802. doi:10.24963/ijcai.2020/668
  • Bahri, M., Bifet, A., Maniu, S., De Mello, R. F., & Tziortziotis, N. (2020) “Compressed knearest neighbors ensembles for evolving data streams.” In G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarin, & J. Lang (Eds.) Proc 24th European Conference on Artificial Intelligence (ECAI 2020), Frontiers in Artificial Intelligence and Applications 325, Santiago de Compostela, Spain, 961-968. IOS Press. doi:10.3233/FAIA200189
  • Bahri, M., Gomes, H. M., Bifet, A., & Maniu, S. (2020) “CS-ARF: Compressed adaptive random forests for evolving data stream classification.” Proc 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 1-8. IEEE. doi:10.1109/IJCNN48605.2020.9207188
  • Bahri, M., Pfahringer, B., Bifet, A., & Maniu, S. (2020) “Efficient batch-incremental classification using UMAP for evolving data streams.” Proc Advances in Intelligent Data Analysis IVIII: 18th Symposium on Intelligent Data Analysis (IDA 2020), LNCS12080, Konstanz, Germany, 40-53. doi:10.1007/978-3-030-44584-3_4
  • Bahri, M., Veloso, B., Bifet, A., & Gama, J. (2020) “AutoML for Stream k-Nearest Neighbors Classification.” Proc 2020 IEEE International Conference on Big Data, 597-602. doi:10.1109/BigData50022.2020.9378396
  • Bainbridge, D. (2020) “Building digital library collections with Greenstone 3 tutorial.” Proc ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020), Virtual Event, China, 571-572. ACM. doi:10.1145/3383583.3398503
  • Bernardo, A., Gomes, H. M., Montiel, J., Pfahringer, B., Bifet, A., & Valle, E. D. (2020) “C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams.” Proc 2020 IEEE International Conference on Big Data, 483-492. doi:10.1109/BigData50022.2020.9377768
  • Bernardo, A., Valle, E. D., & Bifet, A. (2020) “Incremental rebalancing learning on evolving data streams.” In IEEE International Conference on Data Mining Workshops, November, 844-850. doi:10.1109/ICDMW51313.2020.00121
  • Bifet, A., Carvalho, A., Ferreira, C., & Gama, J. (2020) “Editorial message: Special track on data streams.” Proc ACM Symposium on Applied Computing (SAC 2020), 481. doi:10.1145/3389651
  • Bifet, A., & Gama, J. (2020) “IoT data stream analytics.” Annals of Telecommunications 75 (9-10), 491-492. doi:10.1007/s12243-020-00811-1
  • Boulegane, D., Bifet, A., Elghazel, H., & Madhusudan, G. (2020). “Streaming time series forecasting using multi-target regression with dynamic ensemble selection.” Proc 2020 IEEE International Conference on Big Data, 2170-2179. doi:10.1109/BigData50022.2020.9378264
  • Bowen, J., & Hinze, A. (2020) “Participatory design in Māori cultural contexts.” In F. Loizides, M. Winckler, U. Chatterjee, J. Abdelnour-Nocera, & A. Parmaxi (Eds.) Human Computer Interaction and Emerging Technologies: Adjunct Proceedings from the INTERACT 2019 Workshops, 327-331. Cardiff University Press. doi:10.18573/book3.ap
  • Bowen, J., Petrie, H., Hinze, A., & Samaddar, S. (2020) “Personas revisited: Extending the use of personas to enhance participatory design.” Proc 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society (NordiCHI 2020), Tallinn, Estonia, 1-12. doi:10.1145/3419249.3420135
  • Bowen, J., Vanderdonckt, J., & Winckler, M. (Eds.) (2020) EICS '20: 12th ACM SIGCHI Symposium on Engineering Interactive Computing Systems Proceedings. Sophia Antipolis, France. ACM, New York, NY. doi:10.1145/3393672
  • Bowen, J., Winckler, M., & Vanderdonckt, J. (2020) “A glimpse into the past, present, and future of engineering interactive computing systems.” Proc ACM on Human-Computer Interaction 4 (EICS), 1-32. doi:10.1145/3394973
  • Buresh, K. M., Apperley, M. D., & Booysen, M. J. (2020) “Three shades of green: Perspectives on at-work charging of electric vehicles using photovoltaic carports.” Energy for Sustainable Development 57, 132-140. doi:10.1016/j.esd.2020.05.007
  • Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020) “confstream: automated algorithm selection and configuration of stream clustering algorithms.” In I. S. Kotsireas, & P. M. Pardalos (Eds.) Proc 14th International Conference on Learning and Intelligent Optimization (LION 2020), LNCS 12096, Athens, Greece, 80-95. Springer. doi:10.1007/978-3-030-53552-0_10
  • Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2020) “Improving parallel performance of ensemble learners for streaming data through data locality with mini-batching.” Proc 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City & IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020, 138-146. doi:10.1109/HPCC-SmartCity-DSS50907.2020.00018
  • Cerqueira, V., Gomes, H. M., & Bifet, A. (2020) “Unsupervised concept drift detection using a student–teacher approach.” In A. Appice, G. Tsoumakas, Y. Manolopoulos, & S. Matwin (Eds.) Proc 23rd International Conference on Discovery Science (DS 2020), LNAI 12323, Thessaloniki, Greece, 190-204. Springer. doi:10.1007/978-3030-61527-7_13
  • Cherrier, N., Mayo, M., Poli, J. -P., Defurne, M., & Sabatié, F. (2020) “Interpretable machine learning with bitonic generalized additive models and automatic feature construction.” In A. Appice, G. Tsoumakas, Y. Manolopoulos, & S. Matwin (Eds.) Proc 23rd International Conference on Discovery Science (DS 2020), LNAI 12323, Thessaloniki, Greece, 386-402. Springer. doi:10.1007/978-3-030-61527-7_26
  • Chew, C., Kumar, V., Patros, P., & Malik, R. (2020) “ESCAPADE: Encryption-typeransomeware: system call based pattern detection.” In M. Kutylowski, J. Zhang, & C. Chen (Eds.) Proc 14th International Conference on Network and System Security (NSS 2020), LNCS 12570, Virtual, Melbourne, Australia, 388-407. doi:10.1007/978-3-030-65745-1_23
  • Compton, R., Frank, E., Patros, P., & Koay, A. (2020) “Embedding Java classes with code2vec: improvements from variable obfuscation.” Proc IEEE/ACM 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea, 243-253. doi:10.1145/3379597.3387445
  • Cortez, P., & Bifet, A. (2020) "Fifth special issue on knowledge discovery and business intelligence." Expert Systems 37(6). doi:10.1111/exsy.12628
  • Cunningham, S.J., Darari, F., Krisnadhi, A., & Hinze, A. (2020) “Capturing cultural heritage in East Asia and Oceania.” Communications of the ACM 63(4) 50-51. doi:10.1145/3378548
  • Dyer, M., Weng, M. -H., Wu, S., Garcia Ferrari, T., & Dyer, R. (2020) “Urban narrative: computational linguistic interpretation of large format public participation for urban infrastructure.” Urban Planning, 5(4) 20-32. doi:10.17645/up.v5i4.3208
  • Erandathi, M. A., Wang, W. Y. C., & Mayo, M. (2020) “Predicting diabetes mellitus and its complications through a graph-based risk scoring system.” Proc 4th International Conference on Medical and Health Informatics (ICMHI 2020), Kamakura City, Japan, 1-7. ACM. doi:10.1145/3418094.3418115
  • Fournier-Viger, P., He, G., Lin, J. C. W., & Gomes, H. M. (2020) “Mining attribute evolution rules in dynamic attributed graphs.” In M. Song, I. -Y. Song, G. Kotsis, A. M. Tjoa, & I. Khalil (Eds.) Proc 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2020), LNCS 12393, Bratislava, Slovakia, 167-182. Springer. doi:10.1007/978-3-030-59065-9_14
  • Gomes, H. M., Montiel, J., Mastelini, S. M., Pfahringer, B., & Bifet, A. (2020) “On ensemble techniques for data stream regression.” Proc 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 1-8. IEEE. doi:10.1109/IJCNN48605.2020.9206756
  • Grzenda, M., Gomes, H. M., & Bifet, A. (2020) “Performance measures for evolving predictions under delayed labelling classification.” Proc 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 1-8. IEEE. doi:10.1109/IJCNN48605.2020.9207256
  • Haghir Chehreghani, M., Abdessalem, T., Bifet, A., & Bouzbila, M. (2020) “Sampling informative patterns from large single networks.” Future Generation Computer Systems 106, 653-658. doi:10.1016/j.future.2020.01.042
  • He, D., Wu, D., Huang, R., Marchionini, G., Hansen, P., & Cunningham, S. J. (2020) “ACM/IEEE joint conference on digital libraries 2020 in Wuhan virtually.” ACM SIGWEB Newsletter (Autumn), 1-7. doi:10.1145/3427478.3427479
  • Hébert-Losier, K., Hanzlíková, I., Zheng, C., Streeter, L., & Mayo, M. (2020) “The 'DEEP' landing error scoring system.” Applied Sciences (Switzerland) 10(3). doi:10.3390/app10030892
  • Kent, K. B., Dawson, M., Patros, P., & Nießen, T. (2020) “Insights into WebAssembly: Compilation performance and shared code caching in node.js.” Proc 30th Annual International Conference on Computer Science and Software Engineering (CASCON 2020), Toronto, Ontario, Canada, 163-172. Retrieved from :https://dl.acm.org/doi/abs/10.5555/3432601.3432623
  • König, J. (2020) “Automating vocabulary tests and enriching online courses for language learners.” (PhD abstract). IEEE Intelligent Informatics Bulletin 20, 42. Retrieved from http://www.ieee-iib.org/2020/IIB2020_Final.pdf
  • Laing, S., & Apperley, M. (2020) “The relevance of virtual reality to communication design.” Design Studies 71. doi:10.1016/j.destud.2020.100965
  • Le Nguyen, M. H., Turgis, F., Fayemi, P. E., & Bifet, A. (2020) "Challenges of stream learning for predictive maintenance in the railway sector." In Communications in Computer and Information Science 1325, 14-29. doi:10.1007/978-3-030-66770-2_2
  • Li, L., Franken, M., & Wu, S. (2020) “Bundle-driven move analysis: Sentence initial lexical bundles in PhD abstracts.” English for Specific Purposes 60, 85-97. doi:10.1016/j.esp.2020.04.006
  • Lobo, J. L., Del Ser, J., Bifet, A., & Kasabov, N. (2020) “Spiking neural networks and online learning: An overview and perspectives.” Neural Networks 121, 88-100. doi:10.1016/j.neunet.2019.09.004
  • Lobo, J. L., Oregi, I., Bifet, A., & Del Ser, J. (2020) “Exploiting the stimuli encoding scheme of Evolving Spiking Neural Networks for stream learning.” Neural Networks 123, 118-133. doi:10.1016/j.neunet.2019.11.021
  • Losing, V., Hammer, B., Wersing, H., & Bifet, A. (2020) “Randomizing the self-adjusting memory for enhanced handling of concept drift.” Proc 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 1-8. IEEE. doi:10.1109/IJCNN48605.2020.9207583
  • Lu, Y., Koay, A., & Mayo, M. (2020) “In silico comparison of continuous glucose monitor failure mode strategies for an artificial pancreas.” In K. Bach, R. Bunescu, C. Marling, & N. Wiratunga (Eds.) Proc 5th International Workshop on Knowledge Discovery in Healthcare Data (KDH 2020), CEUR Workshop Proceedings 2675, Santiago de Compostela, Spain & Virtually, 53-57. Retrieved from http://ceur-ws.org/Vol2675/paper8.pdf
  • Luckie, M., Marder, A., Fletcher, M., Huffaker, B., & Claffy, k. (2020) “Learning to extract and use ASNs in hostnames.” Proc ACM Internet Measurement Conference (IMC'20), Virtual Event, USA, 386-392. doi:10.1145/3419394.3423639
  • Malik, R., & Teixeira, M. (2020) “Modular synthesis of least restrictive controllable and nonblocking supervisors with distinguishers.” Proc 15th IFAC Workshop on Discrete Event Systems (WODES 2020), IFAC-PapersOnLine 53(4) 205-210, Rio de Janeiro, Brazil. doi:10.1007/s10626-019-00302-z
  • Malik, R., & Teixeira, M. (2020) “Synthesis of least restrictive controllable supervisors for extended finite-state machines with variable abstraction.” Discrete Event Dynamic Systems: Theory and Applications 30, 211-241. doi:10.1007/s10626-019-00302-z
  • Malik, R., & Ware, S. (2020) “On the computation of counterexamples in compositional nonblocking verification.” Discrete Event Dynamic Systems: Theory and Applications 30, 301-334. doi:10.1007/s10626-019-00305-w
  • Marcos, P., Chiesa, M., Dietzel, C., Canini, M., & Barcellos, M. (2020) “A survey on the current internet interconnection practices.” Computer Communication Review 50(1) 10-17. doi:10.1145/3390251.3390254
  • Marder, A., Luckie, M., Huffaker, B., & Claffy, K. (2020) “Vrfinder: Finding Outbound Addresses in Traceroute.” SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 55-56. doi:10.1145/3393691.3394227
  • Marder, A., Luckie, M., Huffaker, B., & Claffy, K. C. (2020) “vrfinder: Finding outbound addresses in traceroute.” Proceedings of the ACM on Measurement and Analysis of Computing Systems 4(2). doi:10.1145/3392158
  • Mayo, M., & Frank, E. (2020) “Improving naive Bayes for regression with optimised artificial surrogate data.” Applied Artificial Intelligence 34(6), 484-514. doi:10.1080/08839514.2020.1726615
  • Mayo, M., & Koutny, T. (2020) “Neural multi-class classification approach to blood glucose level forecasting with prediction uncertainty visualisation.” In K. Bach, R. Bunescu, C. Marling, & N. Wiratunga (Eds.) Proc 5th International Workshop on Knowledge Discovery in Healthcare Data (KDH 2020) CEUR Workshop Proceedings 2675, Santiago de Compostela, Spain & Virtually, 80-84. Retrieved from http://ceur-ws.org/Vol-2675/paper13.pdf
  • Montiel, J. (2020) “Learning from evolving data streams.” Proc 19th Python in Science Conference (SciPy 2020) 70-77. doi:10.25080/majora-342d178e-00a
  • Montiel, J., Mitchell, R., Frank, E., Pfahringer, B., Abdessalem, T., & Bifet, A. (2020) “Adaptive XGBoost for evolving data streams.” Proc 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 1-8. IEEE. doi:10.1109/IJCNN48605.2020.9207555
  • Müller, L., Luckie, M., Huffaker, B., claffy, K., & Barcellos, M. (2020) “Spoofed traffic inference at IXPs: Challenges, methods and analysis.” Computer Networks 182, 107452. doi:10.1016/j.comnet.2020.107452
  • Murray, K. E., Petelin, O., Zhong, S., Wang, J. M., Eldafrawy, M., Legault, J. -P., . . . Betz, V. (2020) “VTR 8: High-performance CAD and customizable FPGA architecture modelling.” ACM Transactions on Reconfigurable Technology and Systems 13, 9:1. doi:10.1145/3388617
  • Murray, K. E., Petelin, O., Zhong, S., Wang, J. M., Eldafrawy, M., Legault, J. -P., . . . Betz, V. (2020) “VTR 8: High performance CAD and customizable FPGA architecture modelling.” ACM Transactions on Reconfigurable Technology and Systems 13(2). doi:10.1145/3388617
  • Nesset, V., Bible, J. B., & Vanderschantz, N. (2020) “The evolution of bonded design: from elementary school to higher education.” In A. Sundqvist, G. Berget, J. Nolin, & K. I. Skjerdingstad (Eds.), Proc 15th International Conference on Sustainable Digital Communities (iConference 2020) LNCS 12051, Boras, Sweden, 892-900. Springer, Cham. doi:10.1007/978-3-030-43687-2_75
  • Podolskiy, V., Patrou, M., Patros, P., Gerndt, M., & Kent, K. (2020) “The weakest link: Revealing and modeling the architectural patterns of microservice applications.” Proc 30th Annual International Conference on Computer Science and Software Engineering (CASCON 2020), USA, 113-122. IBM Corp. Retrieved from https://dl.acm.org/doi/abs/10.5555/3432601.3432616
  • Proutskova, P., Volk, A., Heydarian, P., & Fazekas, G. (2020) “From music ontology towards ethno-music-ontology.” In J. Cumming, J. H. Lee, B. McFee, M. Schedl, J. Devaney, C. McKay, . . . T. de Reuse (Eds.), Proc 21st International Society for Music Information Retrieval Conference (ISMIR 2020), Virtual, Montreal Canada, 923-931.
  • Rivolli, A., Read, J., Soares, C., Pfahringer, B., & de Carvalho, A.C.P.L.F. (2020) “An empirical analysis of binary transformation strategies and base algorithms for multi-label learning.” Machine Learning 109, 1509-1563. doi:10.1007/s10994-020-05879-3
  • Sahito, A., Frank, E., & Pfahringer, B. (2020) “Transfer of pretrained model weights substantially improves semi-supervised image classification.” In M. Gallagher, N. Moustafa, & E. Lakshika (Eds.) Proc 33rd Australasian Joint Conference on Advances in Artificial Intelligence (AI 2020), LNAI 12576, 434-444. Cham: Springer. doi:10.1007/978-3-030-64984-5_34
  • Sanger, R., Luckie, M., & Nelson, R. (2020) “Towards transforming OpenFlow rulesets to fit fixed-function pipelines.” Proc 2020 Symposium on SDN Research (SOSR 2020), 123-134, ACM. doi:10.1145/3373360.3380844
  • Short, C., & Garcia Ferrari, T. (2020) “The HfG Ulm and Sustainable Design: a comparative analysis.” In S. Boess, M. Cheung, & R. Cain (Eds.), Proc Synergy - Design Research Society International Conference (DSR 2020) , Brisbane, Australia, online, 751-767. doi:10.21606/drs.2020.186
  • Togbe, M., Barry, M., Boly, A., Chabchoub, Y., Chiky, R., Montiel Lopez, J., & Vinh-Thuy, T. (2020) “Anomaly detection for data streams based on isolation forest using scikit-multiflow.” Proc 20th International Conference on Computational Science and its Applications (ICCSA 2020) Part IV, LNCS 12252, Caligari, Italy, 15-30. doi:10.1007/978-3-030-58811-3_2
  • Tudu, A., Bainbridge, D., & Rogers, B. (2020) “Finding a safe port: Cyber-security analysis for open source digital library software.” Proc ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020), Virtual event, China, 349-352, ACM. doi:10.1145/3383583.3398612
  • Turner, J., Bowen, J., & Reeves, S. (2020) “Model-based testing of interactive systems using interaction sequences.” Proceedings of the ACM on Human-Computer Interaction. doi:10.1145/3397873
  • Turner, J., Bowen, J., & Reeves, S. (2020) “SeqCheck: a model checking tool for interactive systems.” In J. Bowen, J. Vanderdonckt, & M. Winckler (Eds.), Proc 12th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS'20), Sophia Antipolis, France, 1-6, ACM. doi:10.1145/3393672.3398639
  • Vanderschantz, N., & Sijnja, N. (2020) “Swipe, scroll, add-to-cart: a case study of ecommerce gallery designs for small screen devices.” In S. Boess, M. Cheung, & R. Cain (Eds.) Proc Synergy - Design Research Society International Conference (DSR 2020), Brisbane, Australia, online, 2065-2082. doi:10.21606/drs.2020.158
  • Vanderschantz, N., Timpany, C., & Wright, K. (2020) “Enhancing interactivity: how has design exploration of physically and intellectually interactive picturebooks enhanced shared reading?” In S. Boess, M. Cheung, & R. Cain (Eds.) Proc Synergy - Design Research Society International Conference (DSR 2020), Brisbane, Australia, online, 513-534. doi:10.21606/drs.2020.192
  • Vinagre, J., Jorge, A. M., Al-Ghossein, M., & Bifet, A. (2020) "ORSUM - Workshop on online recommender systems and user modeling." In RecSys 2020 - 14th ACM Conference on Recommender Systems 619-620, New York, NY ACM. doi:10.1145/3383313.3411531
  • Wang, H., Chepulis, L., Paul, R. G., & Mayo, M. (2020) “Metaheuristics for discovering favourable continuous intravenous insulin rate protocols from historical patient data.” In P. Sitek, M. Petranik, M. Krótkiewicz, & C. Srinilta (Eds.) Proc 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020) LNCS 12033, Phuket, Thailand, 157-169, Springer. doi:10.1007/978-3-030-41964-6_14
  • Wang, H., Gouk, H., Frank, E., Pfahringer, B., & Mayo, M. (2020) “A comparison of machine learning methods for cross-domain few-shot learning.” In M. Gallagher, N. Moustafa, & E. Lakshika (Eds.) Proc 33rd Australasian Joint Conference on Advances in Artificial Intelligence (AI 2020), LNAI 12576, 445-457. Cham: Springer. doi:10.1007/978-3-030-64984-5_35
  • Yogarajan, V., Gouk, H., Smith, T., Mayo, M., & Pfahringer, B. (2020) “Comparing high dimensional word embeddings trained on medical text to bag-of-words for predicting medical codes.” In P. Sitek, M. Petranik, M. Krótkiewicz, & C. Srinilta (Eds.) Proc 12th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2020), LNCS 12033, Phuket, Thailand,  97-108, Springer. doi:10.1007/978-3-030-41964-6_9
  • Yogarajan, V., Pfahringer, B., & Mayo, M. (2020) “A review of automatic end-to-end de-Identification: Is high accuracy the only metric?” Applied Artificial Intelligence 34(3) 251-269. doi:10.1080/08839514.2020.1718343
  • Zhang, Q., Hinze, A., & Vanderschantz, N. (2020) “Narrative navigation: visualizing story order and locations in augmented reality.” Proc ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020), New York, NY, 541-542, ACM. doi:10.1145/3383583.3398632
  • Zhang, W., & Bifet, A. (2020) “FEAT: A fairness-enhancing and concept-adapting decision tree classifier.” In A. Appice, G. Tsoumakas, Y. Manolopoulos, & S. Matwin (Eds.) Proc 23rd International Conference on Discovery Science (DS 2020), LNAI 12323, Thessaloniki, Greece, 175-189. Springer. doi:10.1007/978-3-030-61527-7_12
  • Ziffer, G., Bernardo, A., Della Valle, E., & Bifet, A. (2020) "Fast incremental Naïve Bayes with Kalman Filtering." Proc 2020 International Conference on Data Mining Workshops (ICDMW), 883-889. doi:10.1109/ICDMW51313.2020.00126