Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review. July 2024. [PUMA: Computational Design In-Vehicle Interface Literature Models Review User]
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Computational Models for In-Vehicle User Interface Design: A Systematic Literature Review. Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 204–215, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: automated cognitive computational driving interfaces literature modeling review user] URL
Automotive UX design and data-driven development: Narrowing the gap to support practitioners. Transportation Research Interdisciplinary Perspectives, (11):100455, 2021. [PUMA: Automotive UX data-driven design development practitioners support] URL
The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective. 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 141–150, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: experience in-vehicle information interview study systems user] URL
ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces. Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, New York, NY, USA, 2022. [PUMA: Data Design Driving Human-Computer In-Vehicle Information Interaction Naturalistic System Tools Visualization] URL
VRCellLabeler (VCL): Immersive labeling of Platynereis embryo's cell lineage trees in Virtual Reality. September 2022. [PUMA: Immersive Platynereis Reality VCL VRCellLabeler Virtual cell embryo's labeling lineage trees]
3D Point Set Registration based on Hierarchical Descriptors. Journal of WSCG, (30):44-53, August 2022. [PUMA: 3D Descriptors Hierarchical Point Registration Set]
Enhancing Fairness of Visual Attribute Predictors. Proceedings of the Asian Conference on Computer Vision (ACCV), 1211-1227, December 2022. [PUMA: Attribute Enhancing Fairness Predictors Visual]
FloodVis: Visualization of Climate Ensemble Flood Projections in Virtual Reality.. EnvirVis@ EuroVis, 1--9, 2022. [PUMA: Climate Ensemble Flood FloodVis Projections Reality. Virtual Visualization]
Understanding multi-modal brain network data: An immersive 3D visualization approach. Comput. Graph., (106)C:88–97, Pergamon Press, Inc., USA, August 2022. [PUMA: EEG Immersive Origin–destination Partial brain coherence connectivity directed reality virtual visualization] URL
ExtremeWeatherVis: Visualizing Extreme Weather Events for Multi-City in Virtual Reality to Support Decision Making. In Soumya Dutta, Kathrin Feige, Karsten Rink, and Baldwin Nsonga (Eds.), Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, 2024. [PUMA: Decision Events Extreme ExtremeWeatherVis Making Multi-City Reality Virtual Visualizing Weather]
Robust Reconstruction of the Void Fraction from Noisy Magnetic Flux Density Using Invertible Neural Networks. Sensors, (24)42024. [PUMA: Density Flux Fraction Invertible Magnetic Networks Neural Noisy Reconstruction Void] URL
GPU-Accelerating Hierarchical Descriptors for Point Set Registration. November 2023. [PUMA: Descriptors GPU-Accelerating Hierarchical Point Registration Set]
Quantile-based maximum likelihood training for outlier detection. Proc. Conf. AAAI Artif. Intell., (38)19:21610--21618, Association for the Advancement of Artificial Intelligence (AAAI), March 2024. [PUMA: Quantile-based detection likelihood maximum outlier training]
Visual analysis of the impact of periodic wakes on the pressure side of a turbine blade. Journal of Visualization, (26)June 2023. [PUMA: Visual analysis blade impact periodic pressure side turbine wakes]
Efficient raycasting of volumetric depth images for remote visualization of large volumes at high frame rates. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), IEEE, April 2023. [PUMA: depth frame high images large rates raycasting remote visualization volumes volumetric]
TmoTA: Simple, highly responsive tool for multiple object tracking annotation. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1--11, ACM, New York, NY, USA, April 2023. [PUMA: TmoTA annotation multiple object tool tracking]
Examining Computational Performance of Unsupervised Concept Drift Detection: A Survey and Beyond. arXiv preprint arXiv:2304.08319, 2023. [PUMA: Computational Concept Detection Drift Performance Unsupervised]
PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 381Association for Computing Machinery, New York, NY, USA, April 2023. [PUMA: Analytics Immersive In-situ affordance analysis augmented/mixed data movement physical reality referents visualization] URL
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection. 2023. [PUMA: Detection Feature Flow Normalizing Object Outlier-Aware Synthesis] URL
Glyph-Based Visual Analysis of Q-Leaning Based Action Policy Ensembles on Racetrack. In Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, Razvan Andonie, Minoru Nakayama, Filippo Sciarrone, Weidong Huang, Quang Vinh Nguyen, Mabule Samuel Mabakane, Adrian Rusu, Marco Temperini, Urska Cvek, Marjan Trutschl, Heimo Müller, Harri Siirtola, Wai Lok Woo, Rita Francese, Veronica Rossano, Tania Di Mascio, Fatma Bouali, Gilles Venturini, Sebastian Kernbach, Delfina Malandrino, Rocco Zaccagnino, Jian J. Zhang, Xiaosong Yang, and Vladimir Geroimenko (Eds.), 26th International Conference Information Visualisation, IV 2022, Vienna, Austria, July 19-22, 2022, 1--10, IEEE, 2022. [PUMA: Action Analysis Based Glyph-Based Policy Q-Leaning Racetrack Visual] URL
TraceVis: Towards Visualization for Deep Statistical Model Checking. Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends: 9th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2020, Rhodes, Greece, October 20–30, 2020, Proceedings, Part IV, 27–46, Springer-Verlag, Berlin, Heidelberg, 2020. [PUMA: Checking Model Networks Neural Statistical Visualization] URL
Penalized estimation of hierarchical Archimedean copula. J. Multivar. Anal., (201)CAcademic Press, Inc., USA, July 2024. [PUMA: 62G07 62H12 Archimedean Hierarchical Maximum Stage-wise copula estimation likelihood] URL
Copula modeling from Abe Sklar to the present day. J. Multivar. Anal., (201)CAcademic Press, Inc., USA, July 2024. [PUMA: 62G32 62H05 62H10 62H12 62H15 62H20 Copula Dependence modeling models] URL
Self-organized free-flight arrival for urban air mobility. Transportation Research Part C: Emerging Technologies, (167):104806, 2024. [PUMA: Deep Urban air eVTOL learning mobility reinforcement] URL
Plant growth stages and weather index insurance design. Annals of actuarial science, 438--458, 2023. [PUMA: Plant design growth index insurance stages; weather]
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk. Neurocomputing, (568):127097, 2024. [PUMA: Collision Dynamic Reinforcement Training avoidance environment learning metric obstacle risk] URL
Simulating the Cox--Ingersoll--Ross and Heston processes: matching the first four moments. J. Comput. Finance, Infopro Digital Services Limited, 2022. [PUMA: Cox--Ingersoll--Ross Heston Simulating processes]
Distributional properties of continuous time processes: from CIR to bates. AStA Advances in Statistical Analysis, (107)3:397-419, September 2023. [PUMA: CIR Distributional Higher Jump Squar Stochastic diffusion moments process properties volatility] URL
Maximum-Likelihood Estimation Using the Zig-Zag Algorithm. Journal of Financial Econometrics, (21)4:1346-1375, 2023. [PUMA: Bitcoin Gauß–Seidel conditional correlation dynamic efficient estimation iterative] URL
Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 866-873, 2023. [PUMA: Automobiles Autonomous Measurement Reinforcement Statistical Task Videos analysis learning vehicles]
Vessel-following model for inland waterways based on deep reinforcement learning. Ocean Eng., (281)114679:114679, Elsevier BV, August 2023. [PUMA: Vessel-following deep inland learning model reinforcement waterways]
Spatial–temporal recurrent reinforcement learning for autonomous ships. Neural Networks, (165):634-653, 2023. [PUMA: Autonomous COLREG Deep Recurrency, learning, reinforcement surface vehicle] URL
Robust path following on rivers using bootstrapped reinforcement learning. Ocean Engineering, (298):117207, 2024. [PUMA: Autonomous Deep Path Restricted following; learning; reinforcement surface vessel waterways] URL
Towards robust car-following based on deep reinforcement learning. Transportation Research Part C: Emerging Technologies, (159):104486, 2024. [PUMA: Car-following; Generalization; Reinforcement; String Validation; capabilities; learning; model; stability]
Genomic events stratifying prognosis of early gastric cancer. Gastric Cancer, (27)6:1189--1200, Springer Science and Business Media LLC, November 2024. [PUMA: ARID1A EGC; LRP1B Pen; Prognosis]
Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells. NPJ Syst. Biol. Appl., (10)1:77, Springer Science and Business Media LLC, July 2024. [PUMA: allocation cancer cells cells; energy glutamine; metabolism; mode; resource yeast]
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs. Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024, Proceedings, Part IV, 279–293, Springer-Verlag, Berlin, Heidelberg, 2024. [PUMA: Cell Classification, Disease Federated Learning, Prognosis Type] URL
Minimum $\Phi$-distance estimators for finite mixing measures. 2023. [PUMA: Phi-distance estimators finite measures mixing] URL
Multiple hypothesis testing with persistent homology. Found. Data Sci., (4)4:667--705, American Institute of Mathematical Sciences (AIMS), 2022. [PUMA: Multiple homology hypothesis persistent testing;]
Learning subspaces of different dimensions. J. Comput. Graph. Stat., (31)2:337--350, Informa UK Limited, April 2022. [PUMA: Learning different dimensions subspaces]
Robustness for Spectral Clustering of General Graphs under Local Differential Privacy. ArXiv, (abs/2309.06867)2023. [PUMA: Clustering; Differential General Graphs; Local Privacy Robustness; Spectral]
Gibbs posterior convergence and the thermodynamic formalism. Ann. Appl. Probab., (32)1Institute of Mathematical Statistics, February 2022. [PUMA: Gibbs convergence formalism posterior thermodynamic]
Representing fields without correspondences: the lifted Euler characteristic transform. J. Appl. Comput. Topol., (8)1:1--34, Springer Science and Business Media LLC, March 2024. [PUMA: Euler characteristic corresponcence transform]
Ergodic theorems for dynamic imprecise probability kinematics. International Journal of Approximate Reasoning, (152):325-343, 2023. [PUMA: Dynamic Ergodic Imprecise Lower Strong Subjective imprecise kinematics large law numbers probabilities probability] URL
Concerning Two Classes of Non-Diophantine Arithmetics. Proceedings, (81)12022. [PUMA: Arithmetics Non-Diophantine] URL
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs. 2024. [PUMA: ANN Intelligence; Pragmatist Usefulness;] URL
A sheaf-theoretic construction of shape space. Found. Comut. Math., Springer Science and Business Media LLC, May 2024. [PUMA: construction; shape sheaf-theoretic; space]
Global optimality of Elman-type RNNs in the mean-field regime. In Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, and Jonathan Scarlett (Eds.), Proceedings of the 40th International Conference on Machine Learning, (202):196--227, PMLR, 23--29 Jul 2023. [PUMA: Elman-type Optimality, mean-field regime {RNN}s,] URL