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  • Tavakolizadeh N, Mohammadigheymasi H, Visini F and Pombo N. (2024). FaultQuake. Computers & Geosciences. 191:C. Online publication date: 1-Sep-2024.

    https://doi.org/10.1016/j.cageo.2024.105659

  • Baldwin E, Goldberg P, Klemperer P and Lock E. (2024). Solving Strong-Substitutes Product-Mix Auctions. Mathematics of Operations Research. 49:3. (1502-1534). Online publication date: 1-Aug-2024.

    https://doi.org/10.1287/moor.2019.0248

  • Ngoc B, Tam N, Binh H and Vinh L. (2024). A phenotype-based multi-objective evolutionary algorithm for maximizing lifetime in wireless sensor networks with bounded hop. Soft Computing - A Fusion of Foundations, Methodologies and Applications. 28:15-16. (8681-8699). Online publication date: 1-Aug-2024.

    https://doi.org/10.1007/s00500-023-08923-1

  • Pandey S, Das S, Ganu H and Singh S. Rethinking 'Complement' Recommendations at Scale with SIMD. Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering. (25-36).

    https://doi.org/10.1145/3629526.3645041

  • Koo K, Kim S, Kim W, Choi Y, Han J, Kim B and Moon B. (2024). PreVision: An Out-of-Core Matrix Computation System with Optimal Buffer Replacement. Proceedings of the ACM on Management of Data. 2:1. (1-25). Online publication date: 12-Mar-2024.

    https://doi.org/10.1145/3639297

  • Moon E and Howison J. (2024). A dynamic perspective on software modularity in open source software (OSS) development. Information and Organization. 34:1. Online publication date: 1-Mar-2024.

    https://doi.org/10.1016/j.infoandorg.2023.100499

  • Zeyen H and Léger E. (2024). PyRefra – Refraction seismic data treatment and inversion. Computers & Geosciences. 185:C. Online publication date: 1-Mar-2024.

    https://doi.org/10.1016/j.cageo.2024.105556

  • Corbi A, Burgos D and Pérez A. (2024). Cloud-Operated Open Literate Educational Resources: The Case of the MyBinder. IEEE Transactions on Learning Technologies. 17. (893-902). Online publication date: 1-Jan-2024.

    https://doi.org/10.1109/TLT.2023.3343690

  • von Nonn J, Villarreal M, Blesius L, Davis J and Corbett S. (2024). An open-source workflow for scaling burn severity metrics from drone to satellite to support post-fire watershed management. Environmental Modelling & Software. 172:C. Online publication date: 1-Jan-2024.

    https://doi.org/10.1016/j.envsoft.2023.105903

  • Sharifi H, Lee L, Campbell K and Wenk J. (2024). A multiscale finite element model of left ventricular mechanics incorporating baroreflex regulation. Computers in Biology and Medicine. 168:C. Online publication date: 1-Jan-2024.

    https://doi.org/10.1016/j.compbiomed.2023.107690

  • Zöller M, Titov W, Schlegel T and Huber M. (2023). XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning. ACM Transactions on Interactive Intelligent Systems. 13:4. (1-39). Online publication date: 31-Dec-2024.

    https://doi.org/10.1145/3625240

  • Ustinin M, Boyko A and Rykunov S. (2023). Functional Tomography of Complex Systems Using Spectral Analysis of Multichannel Measurement Data. Pattern Recognition and Image Analysis. 33:4. (1344-1374). Online publication date: 1-Dec-2023.

    https://doi.org/10.1134/S1054661823040491

  • Kirmaz A, Şahin T, Michalopoulos D and Gerstacker W. (2023). ToA and TDoA Estimation Using Artificial Neural Networks for High-Accuracy Ranging. IEEE Journal on Selected Areas in Communications. 41:12. (3816-3830). Online publication date: 1-Dec-2023.

    https://doi.org/10.1109/JSAC.2023.3322803

  • Ferri P, Romero-Garcia N, Badenes R, Lora-Pablos D, Morales T, Gómez de la Cámara A, García-Gómez J and Sáez C. (2024). Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness. Computer Methods and Programs in Biomedicine. 242:C. Online publication date: 1-Dec-2023.

    https://doi.org/10.1016/j.cmpb.2023.107803

  • Castera C. (2023). Inertial Newton Algorithms Avoiding Strict Saddle Points. Journal of Optimization Theory and Applications. 199:3. (881-903). Online publication date: 1-Dec-2023.

    https://doi.org/10.1007/s10957-023-02330-0

  • Su Q, Geng C, Pekhimenko G and Si X. TorchProbe: Fuzzing Dynamic Deep Learning Compilers. Programming Languages and Systems. (310-331).

    https://doi.org/10.1007/978-981-99-8311-7_15

  • Sreenath V, Sreejaya K and Raghukanth S. (2023). Generation of broadband spectra from physics-based simulations using stochastic LSTM network. Engineering Applications of Artificial Intelligence. 126:PA. Online publication date: 1-Nov-2023.

    https://doi.org/10.1016/j.engappai.2023.106801

  • Figueiredo L, Ivson P and Celes W. (2024). Unsupervised method for identifying shape instances on 3D CAD models. Computers and Graphics. 116:C. (228-238). Online publication date: 1-Nov-2023.

    https://doi.org/10.1016/j.cag.2023.08.018

  • Wang P, Wang M and He D. (2022). Multi-scale feature pyramid and multi-branch neural network for person re-identification. The Visual Computer: International Journal of Computer Graphics. 39:10. (5185-5197). Online publication date: 1-Oct-2023.

    https://doi.org/10.1007/s00371-022-02653-5

  • Schmid S, Moder L, Hofmann P and Röglinger M. (2023). Everything at the proper time. Information Systems. 118:C. Online publication date: 1-Sep-2023.

    https://doi.org/10.1016/j.is.2023.102246

  • Yu F, Zhao J, Cui H, Feng X and Xue J. (2023). VTensor: Using Virtual Tensors to Build a Layout-Oblivious AI Programming Framework. Journal of Computer Science and Technology. 38:5. (1074-1097). Online publication date: 1-Sep-2023.

    https://doi.org/10.1007/s11390-022-1457-6

  • Martinez C, Bolintineanu D, Olson A, Rodgers T, Donohoe B, Potter K, Roberts S, Pokharel R, Forrest S and Moore N. (2023). Automated segmentation of porous thermal spray material CT scans with predictive uncertainty estimation. Computational Mechanics. 72:3. (525-551). Online publication date: 1-Sep-2023.

    https://doi.org/10.1007/s00466-023-02345-4

  • Yang F, Li Y, Niu Z, Wang G and Liu X. ExtendLife: Weights Mapping Framework to Improve RRAM Lifetime for Accelerating CNN. Advanced Parallel Processing Technologies. (40-53).

    https://doi.org/10.1007/978-981-99-7872-4_3

  • Silva F, Wijewardane N, Bheemanahalli R, Raja Reddy K, Zhang X and Vennam R. (2023). Comparison of UV, visible and near-infrared, and mid-infrared spectrometers to estimate maize and sorghum leaf nutrients using dry-intact and ground leaves. Computers and Electronics in Agriculture. 211:C. Online publication date: 1-Aug-2023.

    https://doi.org/10.1016/j.compag.2023.108001

  • Amos B, Luise G, Cohen S and Redko I. Meta optimal transport. Proceedings of the 40th International Conference on Machine Learning. (791-813).

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  • Arcolezi H, Makhlouf K and Palamidessi C. (Local) Differential Privacy has NO Disparate Impact on Fairness. Data and Applications Security and Privacy XXXVII. (3-21).

    https://doi.org/10.1007/978-3-031-37586-6_1

  • Wu Y, Zhang L, Gu Z, Lu H and Wan S. (2023). Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition. ACM Transactions on Embedded Computing Systems. 22:3. (1-17). Online publication date: 31-May-2023.

    https://doi.org/10.1145/3587038

  • Zhang B, Zhang H, Le V, Moscato P and Zhang A. (2022). Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs. Automated Software Engineering. 30:1. Online publication date: 1-May-2023.

    https://doi.org/10.1007/s10515-022-00370-w

  • Kim D, Kim E, Cha S, Son S and Kim Y. (2023). Revisiting Binary Code Similarity Analysis Using Interpretable Feature Engineering and Lessons Learned. IEEE Transactions on Software Engineering. 49:4. (1661-1682). Online publication date: 1-Apr-2023.

    https://doi.org/10.1109/TSE.2022.3187689

  • Londhe A and Atulkar M. (2022). A compact hybrid fully convolutional and BiLSTM network with squeeze and temporal excitation approach for semantic segmentation of ECG signal. Multimedia Tools and Applications. 82:8. (12679-12697). Online publication date: 1-Mar-2023.

    https://doi.org/10.1007/s11042-022-13821-z

  • Bulle R, Hale J, Lozinski A, Bordas S and Chouly F. (2023). Hierarchical a posteriori error estimation of Bank–Weiser type in the FEniCS Project. Computers & Mathematics with Applications. 131:C. (103-123). Online publication date: 1-Feb-2023.

    https://doi.org/10.1016/j.camwa.2022.11.009

  • Mohan B and Badra J. (2023). A novel automated SuperLearner using a genetic algorithm-based hyperparameter optimization. Advances in Engineering Software. 175:C. Online publication date: 1-Jan-2023.

    https://doi.org/10.1016/j.advengsoft.2022.103358

  • Richter-Powell J, Lipman Y and Chen R. Neural conservation laws. Proceedings of the 36th International Conference on Neural Information Processing Systems. (38075-38088).

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  • Tran T and Snasel V. Improvement Graph Convolution Collaborative Filtering with Weighted Addition Input. Intelligent Information and Database Systems. (635-647).

    https://doi.org/10.1007/978-3-031-21743-2_51

  • Singh N, Zhang Z, Wu X, Zhang N, Zhang S and Solomonik E. (2022). Distributed-memory tensor completion for generalized loss functions in python using new sparse tensor kernels. Journal of Parallel and Distributed Computing. 169:C. (269-285). Online publication date: 1-Nov-2022.

    https://doi.org/10.1016/j.jpdc.2022.07.005

  • Herholz P, Tang X, Schneider T, Kamil S, Panozzo D and Sorkine-Hornung O. (2022). Sparsity-Specific Code Optimization using Expression Trees. ACM Transactions on Graphics. 41:5. (1-19). Online publication date: 31-Oct-2022.

    https://doi.org/10.1145/3520484

  • Arcolezi H, Couchot J, Gambs S, Palamidessi C and Zolfaghari M. Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python. Computer Security – ESORICS 2022. (770-775).

    https://doi.org/10.1007/978-3-031-17143-7_40

  • Zhu W, Wei M, Li X and Li Q. SecureBiNN: 3-Party Secure Computation for Binarized Neural Network Inference. Computer Security – ESORICS 2022. (275-294).

    https://doi.org/10.1007/978-3-031-17143-7_14

  • Müller E, Schmitt S, Mauch C, Billaudelle S, Grübl A, Güttler M, Husmann D, Ilmberger J, Jeltsch S, Kaiser J, Klähn J, Kleider M, Koke C, Montes J, Müller P, Partzsch J, Passenberg F, Schmidt H, Vogginger B, Weidner J, Mayr C and Schemmel J. (2022). The operating system of the neuromorphic BrainScaleS-1 system. Neurocomputing. 501:C. (790-810). Online publication date: 28-Aug-2022.

    https://doi.org/10.1016/j.neucom.2022.05.081

  • Tohid R, Shirzad S, Taylor C, Sakin S, Isaacs K and Kaiser H. Halide Code Generation Framework in Phylanx. Euro-Par 2022: Parallel Processing Workshops. (32-45).

    https://doi.org/10.1007/978-3-031-31209-0_3

  • Filip A, Sadeghi S, Ngom A and Rueda L. DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). (1-8).

    https://doi.org/10.1109/CIBCB55180.2022.9863025

  • Asada Y, Fu V, Gandhi A, Gemawat A, Zhang L, He D, Gupta V, Nosakhare E, Banda D, Sen R and Interlandi M. (2022). Share the tensor tea. Proceedings of the VLDB Endowment. 15:12. (3598-3601). Online publication date: 1-Aug-2022.

    https://doi.org/10.14778/3554821.3554853

  • Saha P, Nath P, Middya A and Roy S. (2022). Improving temporal predictions through time-series labeling using matrix profile and motifs. Neural Computing and Applications. 34:16. (13169-13185). Online publication date: 1-Aug-2022.

    https://doi.org/10.1007/s00521-021-06744-7

  • Ferreira F, Soares J, Sousa F, Magalhães F, Ribeiro I, Pinto D and Pacheco P. A Meta-analysis Approach for Estimating Salary Mean and Its Confidence Interval. Computational Science and Its Applications – ICCSA 2022 Workshops. (627-639).

    https://doi.org/10.1007/978-3-031-10536-4_41

  • Amin M, Shehwar D, Ullah A, Guarda T, Tanveer T and Anwar S. (2022). A deep learning system for health care IoT and smartphone malware detection. Neural Computing and Applications. 34:14. (11283-11294). Online publication date: 1-Jul-2022.

    https://doi.org/10.1007/s00521-020-05429-x

  • Castera C, Bolte J, Févotte C and Pauwels E. (2022). Second-Order Step-Size Tuning of SGD for Non-Convex Optimization. Neural Processing Letters. 54:3. (1727-1752). Online publication date: 1-Jun-2022.

    https://doi.org/10.1007/s11063-021-10705-5

  • Begehr A and Panfilov P. Building a Graph-Based Recommender Using Community Embeddings. Proceedings of the 2022 8th International Conference on Computer Technology Applications. (121-127).

    https://doi.org/10.1145/3543712.3543727

  • Lorraine J, Vicol P, Parker-Holder J, Kachman T, Metz L and Foerster J. Lyapunov Exponents for Diversity in Differentiable Games. Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. (842-852).

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  • Liu M, Liu T, Wang Y, Feng Y, Xie Y, Yan T and Wu J. (2022). BrainSort: a Machine Learning Toolkit for Brain Connectome Data Analysis and Visualization. Journal of Signal Processing Systems. 94:5. (485-495). Online publication date: 1-May-2022.

    https://doi.org/10.1007/s11265-020-01583-6

  • Zengin R and Sezer V. (2022). Super-k. Neurocomputing. 481:C. (67-76). Online publication date: 7-Apr-2022.

    https://doi.org/10.1016/j.neucom.2022.01.072

  • Sabih M, Hannig F and Teich J. DyFiP. Proceedings of the 2nd European Workshop on Machine Learning and Systems. (109-115).

    https://doi.org/10.1145/3517207.3526982

  • Hemmasian A, Meidani K, Mirjalili S and Barati Farimani A. (2022). VecMetaPy. Advances in Engineering Software. 166:C. Online publication date: 1-Apr-2022.

    https://doi.org/10.1016/j.advengsoft.2022.103092

  • Karim M, Rafiuddin S, Islam Razin M and Alam T. Isolated Bangla Handwritten Character Classification using Transfer Learning. Proceedings of the 2nd International Conference on Computing Advancements. (11-17).

    https://doi.org/10.1145/3542954.3542957

  • Martinez F. Attacks on Pseudo Random Number Generators Hiding a Linear Structure. Topics in Cryptology – CT-RSA 2022. (145-168).

    https://doi.org/10.1007/978-3-030-95312-6_7

  • Guedes V, Maciel S and Rocha M. (2022). Refrapy. Computers & Geosciences. 159:C. Online publication date: 1-Feb-2022.

    https://doi.org/10.1016/j.cageo.2021.105020

  • Artelt A and Hammer B. (2022). Efficient computation of counterfactual explanations and counterfactual metrics of prototype-based classifiers. Neurocomputing. 470:C. (304-317). Online publication date: 22-Jan-2022.

    https://doi.org/10.1016/j.neucom.2021.04.129

  • Pan Y, Wang M and Xu Z. (2022). TedNet. Neurocomputing. 469:C. (234-238). Online publication date: 16-Jan-2022.

    https://doi.org/10.1016/j.neucom.2021.10.064

  • Kaadoud I, Rougier N and Alexandre F. (2022). Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. Knowledge-Based Systems. 235:C. Online publication date: 10-Jan-2022.

    https://doi.org/10.1016/j.knosys.2021.107657

  • Riaño‐Briceño G, Sela L and Hodges B. (2022). Distributed and vectorized method of characteristics for fast transient simulations in water distribution systems. Computer-Aided Civil and Infrastructure Engineering. 37:2. (163-184). Online publication date: 4-Jan-2022.

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  • Zhai J and Boukouvala F. (2022). Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization. Journal of Global Optimization. 82:1. (21-50). Online publication date: 1-Jan-2022.

    https://doi.org/10.1007/s10898-021-01045-8

  • Jung J, Jun H and Lee P. (2022). Self-updated four-node finite element using deep learning. Computational Mechanics. 69:1. (23-44). Online publication date: 1-Jan-2022.

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  • Enriquez V and Singh M. Gender Detection Using Voice Through Deep Learning. Intelligent Human Computer Interaction. (548-555).

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  • Huang C, Lim J and Courville A. A variational perspective on diffusion-based generative models and score matching. Proceedings of the 35th International Conference on Neural Information Processing Systems. (22863-22876).

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  • Gagliardi A, de Gioia F and Saponara S. (2021). A real-time video smoke detection algorithm based on Kalman filter and CNN. Journal of Real-Time Image Processing. 18:6. (2085-2095). Online publication date: 1-Dec-2021.

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  • Breton D and Haedrich C. Terrain-Scatter Augmented Vertical Plane Model for Radio Path Loss Estimation in Complex Terrain: (Invited Paper). MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM). (408-413).

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  • Weggenmann B and Kerschbaum F. Differential Privacy for Directional Data. Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. (1205-1222).

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  • Kim Y, Imani M, Gupta S, Zhou M and Rosing T. Massively Parallel Big Data Classification on a Programmable Processing In-Memory Architecture. 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD). (1-9).

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  • Rozemberczki B, Scherer P, He Y, Panagopoulos G, Riedel A, Astefanoaei M, Kiss O, Beres F, López G, Collignon N and Sarkar R. PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. Proceedings of the 30th ACM International Conference on Information & Knowledge Management. (4564-4573).

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  • Holohan N and Braghin S. Secure Random Sampling in Differential Privacy. Computer Security – ESORICS 2021. (523-542).

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  • Hassani A, Iranmanesh A and Mansouri N. (2021). Text mining using nonnegative matrix factorization and latent semantic analysis. Neural Computing and Applications. 33:20. (13745-13766). Online publication date: 1-Oct-2021.

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  • Nath P, Saha P, Middya A and Roy S. (2021). Long-term time-series pollution forecast using statistical and deep learning methods. Neural Computing and Applications. 33:19. (12551-12570). Online publication date: 1-Oct-2021.

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  • Pérez-García F, Sparks R and Ourselin S. (2021). TorchIO. Computer Methods and Programs in Biomedicine. 208:C. Online publication date: 1-Sep-2021.

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  • Tan J, Chen Y, Liu Z, Ren B, Song S, Shen X and Liu X. Toward efficient interactions between Python and native libraries. Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. (1117-1128).

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  • Wang Z, Hou M, Yan L, Dai Y, Yin Y and Liu X. (2021). Deep learning for tracing esophageal motility function over time. Computer Methods and Programs in Biomedicine. 207:C. Online publication date: 1-Aug-2021.

    https://doi.org/10.1016/j.cmpb.2021.106212

  • Dumaz M, Boucher R, Marques M and Romero A. (2021). Authorship and citation cultural nature in Density Functional Theory from solid state computational packages. Scientometrics. 126:8. (6681-6695). Online publication date: 1-Aug-2021.

    https://doi.org/10.1007/s11192-021-04057-z

  • Carrillo-Perez F, Herrera L, Carceller J and Guillén A. (2021). Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals. Neural Computing and Applications. 33:15. (9153-9169). Online publication date: 1-Aug-2021.

    https://doi.org/10.1007/s00521-020-05679-9

  • Moses J, Malan K and Bosman A. Analysing the loss landscape features of generative adversarial networks. Proceedings of the Genetic and Evolutionary Computation Conference Companion. (1692-1699).

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  • Hahne J, Friedhoff S and Bolten M. (2021). Algorithm 1016. ACM Transactions on Mathematical Software. 47:2. (1-22). Online publication date: 30-Jun-2021.

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  • Venkat R, Oussalem Z and Bhattacharya A. Training Convolutional Neural Networks with Differential Evolution using Concurrent Task Apportioning on Hybrid CPU-GPU Architectures. 2021 IEEE Congress on Evolutionary Computation (CEC). (2567-2576).

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  • Virgolin M. Genetic programming is naturally suited to evolve bagging ensembles. Proceedings of the Genetic and Evolutionary Computation Conference. (830-839).

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  • He W and Strout M. Potential of Interpreter Specialization for Data Analysis. High Performance Computing. (212-225).

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  • Liñán-Villafranca L, García-Valdez M, Merelo J and Castillo-Valdivieso P. EvoMLP: A Framework for Evolving Multilayer Perceptrons. Advances in Computational Intelligence. (330-342).

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  • Furmaga J and McDonald S. (2021). Impact of Rapid Medical Evaluation on Patient Flow in an Urban Emergency Department. Journal of Medical Systems. 45:6. Online publication date: 1-Jun-2021.

    https://doi.org/10.1007/s10916-021-01741-8

  • Ni A, Ramos D, Yang A, Lynce I, Manquinho V, Martins R and Goues C. SOAR. Proceedings of the 43rd International Conference on Software Engineering. (112-124).

    https://doi.org/10.1109/ICSE43902.2021.00023

  • Xin D, Wu E, Lee D, Salehi N and Parameswaran A. Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. (1-16).

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  • Oruç Ö. (2021). A radial basis function finite difference (RBF-FD) method for numerical simulation of interaction of high and low frequency waves. Applied Mathematics and Computation. 394:C. Online publication date: 1-Apr-2021.

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  • Guzman C, Xu A and Gerald Soosai Raj A. Experiences of Non-Native English Speakers Learning Computer Science in a US University. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education. (633-639).

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  • Barratt S, Angeris G and Boyd S. (2021). Optimal representative sample weighting. Statistics and Computing. 31:2. Online publication date: 1-Mar-2021.

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  • Yuan T. (2021). The 8-parameter Fisher–Bingham distribution on the sphere. Computational Statistics. 36:1. (409-420). Online publication date: 1-Mar-2021.

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  • Shen A and Sun Y. GraphicalAI: A User-Centric Approach to Develop Artificial Intelligence and Machine Learning Applications using a Visual and Graphical Language. Proceedings of the 2021 4th International Conference on Data Storage and Data Engineering. (52-58).

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  • Baek S, Imakura A, Sakurai T and Kataoka I. Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. Knowledge Management and Acquisition for Intelligent Systems. (1-13).

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  • Levonian Z, Dow M, Erikson D, Ghosh S, Miller Hillberg H, Narayanan S, Terveen L and Yarosh S. (2021). Patterns of Patient and Caregiver Mutual Support Connections in an Online Health Community. Proceedings of the ACM on Human-Computer Interaction. 4:CSCW3. (1-46). Online publication date: 5-Jan-2021.

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  • Montiel J, Halford M, Mastelini S, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes H, Read J, Abdessalem T and Bifet A. (2021). River. The Journal of Machine Learning Research. 22:1. (4945-4952). Online publication date: 1-Jan-2021.

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