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  1. Book ; Conference proceedings: GeoVA(t) - geospatial visual analytics

    Andrienko, Gennady

    focus on time ; special issue of the ICA Commission on GeoVisualisation ; [... Workshop on GeoVA(t) organised in May 2010 at the AGILE conference]

    (Journal of location based services ; 4.2010,3/4)

    2010  

    Event/congress AGILE Conference (2010.05) ; Workshop on GeoVA(t) (2010.05)
    Author's details guest ed.: Gennady Andrienko
    Series title Journal of location based services ; 4.2010,3/4
    Language English
    Size S. 141 - 252, graph. Darst.
    Publisher Taylor & Francis
    Publishing place Abingdon
    Document type Book ; Conference proceedings
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  2. Article: Benchmarking coarse-grained models of organic semiconductors via deep backmapping.

    Stieffenhofer, Marc / Scherer, Christoph / May, Falk / Bereau, Tristan / Andrienko, Denis

    Frontiers in chemistry

    2022  Volume 10, Page(s) 982757

    Abstract: The potential of mean force is an effective coarse-grained potential, which is often approximated by pairwise potentials. While the approximated potential reproduces certain distributions of the reference all-atom model with remarkable accuracy, ... ...

    Abstract The potential of mean force is an effective coarse-grained potential, which is often approximated by pairwise potentials. While the approximated potential reproduces certain distributions of the reference all-atom model with remarkable accuracy, important cross-correlations are typically not captured. In general, the quality of coarse-grained models is evaluated at the coarse-grained resolution, hindering the detection of important discrepancies between the all-atom and coarse-grained ensembles. In this work, the quality of different coarse-grained models is assessed at the atomistic resolution deploying reverse-mapping strategies. In particular, coarse-grained structures for Tris-Meta-Biphenyl-Triazine are reverse-mapped from two different sources: 1) All-atom configurations projected onto the coarse-grained resolution and 2) snapshots obtained by molecular dynamics simulations based on the coarse-grained force fields. To assess the quality of the coarse-grained models, reverse-mapped structures of both sources are compared revealing significant discrepancies between the all-atom and the coarse-grained ensembles. Specifically, the reintroduced details enable force computations based on the all-atom force field that yield a clear ranking for the quality of the different coarse-grained models.
    Language English
    Publishing date 2022-09-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2022.982757
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management.

    Kravaris, Theocharis / Lentzos, Konstantinos / Santipantakis, Georgios / Vouros, George A / Andrienko, Gennady / Andrienko, Natalia / Crook, Ian / Garcia, Jose Manuel Cordero / Martinez, Enrique Iglesias

    Applied intelligence (Dordrecht, Netherlands)

    2022  Volume 53, Issue 4, Page(s) 4063–4098

    Abstract: With the objective to enhance human performance and maximize engagement during the performance of tasks, we aim to advance automation for decision making in complex and large-scale multi-agent settings. Towards these goals, this paper presents a deep ... ...

    Abstract With the objective to enhance human performance and maximize engagement during the performance of tasks, we aim to advance automation for decision making in complex and large-scale multi-agent settings. Towards these goals, this paper presents a deep multi agent reinforcement learning method for resolving demand - capacity imbalances in real-world Air Traffic Management settings with thousands of agents. Agents comprising the system are able to jointly decide on the measures to be applied to resolve imbalances, while they provide explanations on their decisions: This information is rendered and explored via appropriate visual analytics tools. The paper presents how major challenges of scalability and complexity are addressed, and provides results from evaluation tests that show the abilities of models to provide high-quality solutions and high-fidelity explanations.
    Language English
    Publishing date 2022-06-06
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1479519-X
    ISSN 1573-7497 ; 0924-669X
    ISSN (online) 1573-7497
    ISSN 0924-669X
    DOI 10.1007/s10489-022-03605-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: DPPD

    Zheng, Yang / Andrienko, Oles / Zhao, Yonglei / Park, Minwoo / Pham, Trung

    Deformable Polar Polygon Object Detection

    2023  

    Abstract: Regular object detection methods output rectangle bounding boxes, which are unable to accurately describe the actual object shapes. Instance segmentation methods output pixel-level labels, which are computationally expensive for real-time applications. ... ...

    Abstract Regular object detection methods output rectangle bounding boxes, which are unable to accurately describe the actual object shapes. Instance segmentation methods output pixel-level labels, which are computationally expensive for real-time applications. Therefore, a polygon representation is needed to achieve precise shape alignment, while retaining low computation cost. We develop a novel Deformable Polar Polygon Object Detection method (DPPD) to detect objects in polygon shapes. In particular, our network predicts, for each object, a sparse set of flexible vertices to construct the polygon, where each vertex is represented by a pair of angle and distance in the Polar coordinate system. To enable training, both ground truth and predicted polygons are densely resampled to have the same number of vertices with equal-spaced raypoints. The resampling operation is fully differentable, allowing gradient back-propagation. Sparse polygon predicton ensures high-speed runtime inference while dense resampling allows the network to learn object shapes with high precision. The polygon detection head is established on top of an anchor-free and NMS-free network architecture. DPPD has been demonstrated successfully in various object detection tasks for autonomous driving such as traffic-sign, crosswalk, vehicle and pedestrian objects.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 629 ; 004
    Publishing date 2023-04-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Kernel-Based Machine Learning for Efficient Simulations of Molecular Liquids.

    Scherer, Christoph / Scheid, René / Andrienko, Denis / Bereau, Tristan

    Journal of chemical theory and computation

    2020  Volume 16, Issue 5, Page(s) 3194–3204

    Abstract: Current machine learning (ML) models aimed at learning force fields are plagued by their high computational cost at every integration time step. We describe a number of practical and computationally efficient strategies to parametrize traditional force ... ...

    Abstract Current machine learning (ML) models aimed at learning force fields are plagued by their high computational cost at every integration time step. We describe a number of practical and computationally efficient strategies to parametrize traditional force fields for molecular liquids from ML: the particle decomposition ansatz to two- and three-body force fields, the use of kernel-based ML models that incorporate physical symmetries, the incorporation of switching functions close to the cutoff, and the use of covariant meshing to boost the training set size. Results are presented for model molecular liquids: pairwise Lennard-Jones, three-body Stillinger-Weber, and bottom-up coarse-graining of water. Here, covariant meshing proves to be an efficient strategy to learn canonically averaged instantaneous forces. We show that molecular dynamics simulations with tabulated two- and three-body ML potentials are computationally efficient and recover two- and three-body distribution functions. Many-body representations, decomposition, and kernel regression schemes are all implemented in the open-source software package VOTCA.
    Language English
    Publishing date 2020-04-24
    Publishing country United States
    Document type Journal Article
    ISSN 1549-9626
    ISSN (online) 1549-9626
    DOI 10.1021/acs.jctc.9b01256
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Guide Me in Analysis: A Framework for Guidance Designers.

    Ceneda, Davide / Andrienko, Natalia / Andrienko, Gennady / Gschwandtner, Theresia / Miksch, Silvia / Piccolotto, Nikolaus / Schreck, Tobias / Streit, Marc / Suschnigg, Josef / Tominski, Christian

    Computer graphics forum : journal of the European Association for Computer Graphics

    2020  Volume 39, Issue 6, Page(s) 269–288

    Abstract: Guidance is an emerging topic in the field of visual analytics. Guidance can support users in pursuing their analytical goals more efficiently and help in making the analysis successful. However, it is not clear how guidance approaches should be designed ...

    Abstract Guidance is an emerging topic in the field of visual analytics. Guidance can support users in pursuing their analytical goals more efficiently and help in making the analysis successful. However, it is not clear how guidance approaches should be designed and what specific factors should be considered for effective support. In this paper, we approach this problem from the perspective of guidance designers. We present a framework comprising requirements and a set of specific phases designers should go through when designing guidance for visual analytics. We relate this process with a set of quality criteria we aim to support with our framework, that are necessary for obtaining a suitable and effective guidance solution. To demonstrate the practical usability of our methodology, we apply our framework to the design of guidance in three analysis scenarios and a design walk-through session. Moreover, we list the emerging challenges and report how the framework can be used to design guidance solutions that mitigate these issues.
    Language English
    Publishing date 2020-05-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 1482655-0
    ISSN 1467-8659 ; 0167-7055
    ISSN (online) 1467-8659
    ISSN 0167-7055
    DOI 10.1111/cgf.14017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Explaining deep reinforcement learning decisions in complex multiagent settings

    Kravaris, Theocharis / Lentzos, Konstantinos / Santipantakis, Georgios / Vouros, George A. / Andrienko, Gennady / Andrienko, Natalia / Crook, Ian / Garcia, Jose Manuel Cordero / Martinez, Enrique Iglesias

    towards enabling automation in air traffic flow management

    2022  

    Abstract: With the objective to enhance human performance and maximize engagement during the performance of tasks, we aim to advance automation for decision making in complex and large-scale multi-agent settings. Towards these goals, this paper presents a deep ... ...

    Abstract With the objective to enhance human performance and maximize engagement during the performance of tasks, we aim to advance automation for decision making in complex and large-scale multi-agent settings. Towards these goals, this paper presents a deep multi agent reinforcement learning method for resolving demand - capacity imbalances in real-world Air Traffic Management settings with thousands of agents. Agents comprising the system are able to jointly decide on the measures to be applied to resolve imbalances, while they provide explanations on their decisions: This information is rendered and explored via appropriate visual analytics tools. The paper presents how major challenges of scalability and complexity are addressed, and provides results from evaluation tests that show the abilities of models to provide high-quality solutions and high-fidelity explanations.

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    Keywords Air traffic management ; Explainability ; Interpretability ; Multi-agent deep reinforcement learning ; Stochastic decision trees ; Visualization
    Subject code 629 ; 006
    Language English
    Publishing date 2022-06-06
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering.

    von Landesberger, Tatiana / Brodkorb, Felix / Roskosch, Philipp / Andrienko, Natalia / Andrienko, Gennady / Kerren, Andreas

    IEEE transactions on visualization and computer graphics

    2016  Volume 22, Issue 1, Page(s) 11–20

    Abstract: Learning more about people mobility is an important task for official decision makers and urban planners. Mobility data sets characterize the variation of the presence of people in different places over time as well as movements (or flows) of people ... ...

    Abstract Learning more about people mobility is an important task for official decision makers and urban planners. Mobility data sets characterize the variation of the presence of people in different places over time as well as movements (or flows) of people between the places. The analysis of mobility data is challenging due to the need to analyze and compare spatial situations (i.e., presence and flows of people at certain time moments) and to gain an understanding of the spatio-temporal changes (variations of situations over time). Traditional flow visualizations usually fail due to massive clutter. Modern approaches offer limited support for investigating the complex variation of the movements over longer time periods.
    Language English
    Publishing date 2016-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2015.2468111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The Effect of Cucurbit[7]uril on the Antitumor and Immunomodulating Properties of Oxaliplatin and Carboplatin.

    Pashkina, Ekaterina / Aktanova, Alina / Mirzaeva, Irina / Kovalenko, Ekaterina / Andrienko, Irina / Knauer, Nadezhda / Pronkina, Natalya / Kozlov, Vladimir

    International journal of molecular sciences

    2021  Volume 22, Issue 14

    Abstract: ... of platinum (II) drugs with CB[7] on T cells and B cells in vitro. Although the stable CB[7]-carboplatin ...

    Abstract Cucurbit[7]uril (CB[7]) is a molecular container that may form host-guest complexes with platinum(II) anticancer drugs and modulate their efficacy and safety. In this paper, we report our studies of the effect of CB[7]-oxaliplatin complex and the mixture of CB[7] and carboplatin (1:1) on viability and proliferation of a primary cell culture (peripheral blood mononuclear cells), two tumor cell lines (B16 and K562) and their activity in the animal model of melanoma. At the same time, we studied the impact of platinum (II) drugs with CB[7] on T cells and B cells in vitro. Although the stable CB[7]-carboplatin complex was not formed, the presence of cucurbit[7]uril affected the biological properties of carboplatin. In vivo, CB[7] increased the antitumor effect of carboplatin, but, at the same time, increased its acute toxicity. Compared to free oxaliplatin, its complex with CB[7] shows a greater cytotoxic effect on tumor cell lines B16 and K562, while in vivo, the effects of the free drug and encapsulated drug were comparable. However, in vivo studies also demonstrated that the encapsulation of oxaliplatin in CB[7] lowered the toxicity of the drug.
    MeSH term(s) Animals ; Antineoplastic Agents/pharmacology ; Bridged-Ring Compounds/pharmacology ; Carboplatin/pharmacology ; Female ; Humans ; Imidazoles/pharmacology ; Immunologic Factors/pharmacology ; K562 Cells ; Melanoma, Experimental/drug therapy ; Melanoma, Experimental/immunology ; Melanoma, Experimental/pathology ; Mice ; Organoplatinum Compounds/pharmacology ; Pyridines/pharmacology
    Chemical Substances Antineoplastic Agents ; Bridged-Ring Compounds ; Imidazoles ; Immunologic Factors ; Organoplatinum Compounds ; Pyridines ; cucurbit(7)uril ; oxiplatin ; Carboplatin (BG3F62OND5)
    Language English
    Publishing date 2021-07-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms22147337
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Conference proceedings ; Online: A task-based view on the visual analysis of eye-tracking data

    Kurzhals, K. / Burch, M. / Blascheck, T. / Andrienko, G. / Andrienko, N. / Weiskopf, D.

    2017  

    Abstract: S.3-22 ... The visual analysis of eye movement data has become an emerging field of research leading to many new visualization techniques in recent years. These techniques provide insight beyond what is facilitated by traditional attention maps and gaze ... ...

    Abstract S.3-22

    The visual analysis of eye movement data has become an emerging field of research leading to many new visualization techniques in recent years. These techniques provide insight beyond what is facilitated by traditional attention maps and gaze plots, providing important means to support statistical analysis and hypothesis building. There is no single "all-in-one" visualization to solve all possible analysis tasks. In fact, the appropriate choice of a visualization technique depends on the type of data and analysis task. We provide a taxonomy of analysis tasks that is derived from literature research of visualization techniques and embedded in our pipeline model of eye-tracking visualization. Our task taxonomy is linked to references to representative visualization techniques and, therefore, it is a basis for choosing appropriate methods of visual analysis. We also elaborate on how far statistical analysis with eye-tracking metrics can be enriched by suitable visualization and visual analytics techniques to improve the extraction of knowledge during the analysis process.
    Keywords 005 ; 006 ; 629
    Subject code 306
    Language English
    Publishing country de
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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