Dataset

Central Europe co-authors of OpenAI, Meta, DeepMind papers

Public

319 distinct values, no chart

307 distinct values, no chart

299 distinct values, no chart

Most of these collaborations are from 2020 onward, with 2026 the largest year.

Histogram: 2014 to 2015, 8; 2016 to 2016, 5; 2017 to 2017, 8; 2018 to 2018, 18; 2019 to 2019, 13; 2020 to 2020, 55; 2021 to 2021, 34; 2022 to 2022, 48; 2023 to 2023, 49; 2024 to 2024, 38; 2025 to 2025, 37; 2026 to 2026, 195
20142026

215 distinct values, no chart

Software records and journal articles are the two commonest types.

  • software35%
  • article29%
  • conference-paper22%
  • Lecture Notes in Computer Science9%
  • IEEE Transactions on Pattern Analysis and Machine Intelligence4%
  • Computer Graphics Forum4%
  • Other (112)

319 distinct values, no chart

Histogram: 0 to 163, 476; 164 to 326, 13; 327 to 490, 6; 491 to 653, 4; 654 to 816, 6; 817 to 980, 0; 981 to 1143, 2; 1144 to 1306, 1
01306

245 distinct values, no chart

214 distinct values, no chart

237 distinct values, no chart

184 distinct values, no chart

  • middle68%
  • first18%
  • last14%
  • false93%
  • true7%

73 distinct values, no chart

Austria and Poland supply most of the Central-European affiliations.

  • AT37%
  • CZ27%
  • PL26%
  • false97%
  • true3%

Meta appears on the most papers, then Anthropic and Google DeepMind.

  • Meta43%
  • Anthropic26%
  • Google DeepMind22%

151 distinct values, no chart

Histogram: 1 to 2, 423; 3 to 4, 27; 5 to 5, 6; 6 to 7, 34; 8 to 9, 9; 10 to 10, 3; 11 to 12, 5; 13 to 13, 1
113
Histogram: 1 to 1, 184; 2 to 2, 204; 3 to 3, 57; 4 to 4, 44; 5 to 5, 5; 6 to 6, 6; 7 to 7, 0; 8 to 8, 8
18
https://openalex.org/W2288892845https://doi.org/10.1016/j.media.2016.08.008Gland segmentation in colon histology images: The glas challenge contest20162016-09-09articleMedical Image Analysishttps://doi.org/10.1016/j.media.2016.08.0081009https://openalex.org/A5033000206https://openalex.org/A5033000206Philipp Kainzhttps://orcid.org/0000-0001-7970-370XmiddlefalseMedical University of GrazATfalseGoogle DeepMindOlaf Ronneberger12
https://openalex.org/W2288892845https://doi.org/10.1016/j.media.2016.08.008Gland segmentation in colon histology images: The glas challenge contest20162016-09-09articleMedical Image Analysishttps://doi.org/10.1016/j.media.2016.08.0081009https://openalex.org/A5043153398https://openalex.org/A5043153398Martin Urschlerhttps://orcid.org/0000-0001-5792-3971middlefalseBioTechMed-Graz; Graz University of TechnologyATfalseGoogle DeepMindOlaf Ronneberger12
https://openalex.org/W2395622717https://doi.org/10.1016/j.cviu.2016.02.010Editorial20162016-03-03editorialComputer Vision and Image Understandinghttps://doi.org/10.1016/j.cviu.2016.02.0101https://openalex.org/A5043222506https://openalex.org/A5043222506Tomáš Pajdlahttps://orcid.org/0000-0001-6325-0072lastfalseCzech Technical University in PragueCZfalseMetaRichard Szeliski11
https://openalex.org/W2506982282https://doi.org/10.1103/physrevd.94.093001Potential for optimizing the Higgs boson CP measurement in H→ττ decays at the LHC including machine learning techniques20162016-11-07articlePhysical Review Dhttps://doi.org/10.1103/physrevd.94.09300124https://openalex.org/A5072975837https://openalex.org/A5072975837Zbigniew Andrzej Washttps://orcid.org/0000-0002-1615-9038lastfalseInstitute of Nuclear Physics, Polish Academy of SciencesPLfalseOpenAIRafał Józefowicz12
https://openalex.org/W2506982282https://doi.org/10.1103/physrevd.94.093001Potential for optimizing the Higgs boson CP measurement in H→ττ decays at the LHC including machine learning techniques20162016-11-07articlePhysical Review Dhttps://doi.org/10.1103/physrevd.94.09300124https://openalex.org/A5079312056https://openalex.org/A5079312056E. Richter-Wa̧shttps://orcid.org/0000-0002-3823-9039middlefalseJagiellonian UniversityPLfalseOpenAIRafał Józefowicz12
https://openalex.org/W2594265094https://doi.org/10.4467/20838476si.16.004.6185On Loss Functions for Deep Neural Networks in Classification20172017-01-01articleSchedae Informaticaehttps://doi.org/10.4467/20838476si.16.004.6185604https://openalex.org/A5034722383https://openalex.org/A5034722383Katarzyna Janocha∅firsttrueJagiellonian UniversityPLfalseGoogle DeepMindWojciech Marian Czarnecki12
https://openalex.org/W2594265094https://doi.org/10.4467/20838476si.16.004.6185On Loss Functions for Deep Neural Networks in Classification20172017-01-01articleSchedae Informaticaehttps://doi.org/10.4467/20838476si.16.004.6185604https://openalex.org/A5064372346https://openalex.org/A5064372346Wojciech Marian Czarneckihttps://orcid.org/0000-0002-2641-9542lastfalseJagiellonian UniversityPLtrueGoogle DeepMindWojciech Marian Czarnecki12
https://openalex.org/W2599391063https://doi.org/10.1016/j.tcs.2017.03.022On the string consensus problem and the Manhattan sequence consensus problem20172017-03-24articleTheoretical Computer Sciencehttps://doi.org/10.1016/j.tcs.2017.03.0220https://openalex.org/A5061843884https://openalex.org/A5061843884Tomasz Waleńhttps://orcid.org/0000-0002-7369-3309lastfalseUniversity of WarsawPLfalseOpenAIJakub Pachocki14
https://openalex.org/W2599391063https://doi.org/10.1016/j.tcs.2017.03.022On the string consensus problem and the Manhattan sequence consensus problem20172017-03-24articleTheoretical Computer Sciencehttps://doi.org/10.1016/j.tcs.2017.03.0220https://openalex.org/A5079957387https://openalex.org/A5079957387Wojciech Rytterhttps://orcid.org/0000-0002-9162-6724middlefalseUniversity of WarsawPLfalseOpenAIJakub Pachocki14
https://openalex.org/W2599391063https://doi.org/10.1016/j.tcs.2017.03.022On the string consensus problem and the Manhattan sequence consensus problem20172017-03-24articleTheoretical Computer Sciencehttps://doi.org/10.1016/j.tcs.2017.03.0220https://openalex.org/A5082711976https://openalex.org/A5082711976Jakub Radoszewskihttps://orcid.org/0000-0002-0067-6401middletrueUniversity of WarsawPLfalseOpenAIJakub Pachocki14
https://openalex.org/W2599391063https://doi.org/10.1016/j.tcs.2017.03.022On the string consensus problem and the Manhattan sequence consensus problem20172017-03-24articleTheoretical Computer Sciencehttps://doi.org/10.1016/j.tcs.2017.03.0220https://openalex.org/A5086467798https://openalex.org/A5086467798Tomasz Kociumakahttps://orcid.org/0000-0002-2477-1702firstfalseUniversity of WarsawPLfalseOpenAIJakub Pachocki14
https://openalex.org/W2604233003https://doi.org/10.1109/cvpr.2017.12Convolutional Neural Network Architecture for Geometric Matching20172017-07-01conference-paper2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)https://doi.org/10.1109/cvpr.2017.12520https://openalex.org/A5025398783https://openalex.org/A5025398783Josef Šivichttps://orcid.org/0000-0002-2554-5301lastfalseCzech Technical University in PragueCZfalseGoogle DeepMindRelja Arandjelović11
https://openalex.org/W2763773774https://doi.org/10.1016/j.jcss.2015.06.011The complexity of minimum-length path decompositions20152015-08-07articleJournal of Computer and System Scienceshttps://doi.org/10.1016/j.jcss.2015.06.0114https://openalex.org/A5048684673https://openalex.org/A5048684673Dariusz Dereniowskihttps://orcid.org/0000-0003-4000-4818firsttrueGdańsk University of TechnologyPLfalseGoogle DeepMindYori Zwólš11
https://openalex.org/W2768368415https://doi.org/10.1007/978-3-030-30671-7_3XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings20202020-01-01book-chapterDomain Adaptation for Visual Understandinghttps://doi.org/10.1007/978-3-030-30671-7_3126https://openalex.org/A5034545872https://openalex.org/A5034545872Amélie Royerhttps://orcid.org/0000-0002-8407-0705firsttrueInstitute of Science and Technology AustriaATfalseGoogle DeepMindKonstantinos Bousmalis11
https://openalex.org/W2785051855https://doi.org/10.21105/joss.00501Category Encoders: a scikit-learn-contrib package of transformers for encoding categorical data20182018-01-22software-paperThe Journal of Open Source Softwarehttps://doi.org/10.21105/joss.0050139name:Jan Motl∅Jan Motlhttps://orcid.org/0000-0002-0388-3190middlefalseCzech Technical University in PragueCZfalseMetaJonathan Castaldo11
https://openalex.org/W2786907751https://doi.org/10.48550/arxiv.1802.04020Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning20182018-02-12preprint∅http://arxiv.org/abs/1802.040204https://openalex.org/A5031149136https://openalex.org/A5031149136Ronald Ortnerhttps://orcid.org/0000-0001-6033-2208lastfalseMontanuniversität LeobenATfalseMetaAlessandro Lazaric11
https://openalex.org/W2790905271https://doi.org/10.4467/23540214zm.17.009.7908Wirtualne życie po śmierci. Doświadczanie śmierci na Facebooku20172017-01-01articleZarządzanie Mediamihttps://doi.org/10.4467/23540214zm.17.009.79080https://openalex.org/A5087482679https://openalex.org/A5087482679Justyna Wrzochul-Stawinogahttps://orcid.org/0009-0000-1288-4913firsttrueDSW Ideis UniversityPLtrueMetaJustyna Wrzochul-Stawinoga11
https://openalex.org/W2803661804https://doi.org/10.1016/j.cviu.2020.102969Classifier-agnostic saliency map extraction20202020-04-21articleComputer Vision and Image Understandinghttps://doi.org/10.1016/j.cviu.2020.10296918https://openalex.org/A5032140556https://openalex.org/A5032140556Konrad Żołna∅firsttrueJagiellonian UniversityPLfalseMetaKyunghyun Cho11
https://openalex.org/W2806588280https://doi.org/10.1109/tnet.2018.2830800Network-Aware Feasible Repairs for Erasure-Coded Storage20182018-06-01articleIEEE/ACM Transactions on Networkinghttps://doi.org/10.1109/tnet.2018.283080012https://openalex.org/A5000643612https://openalex.org/A5000643612Márton Siposhttps://orcid.org/0000-0003-4671-938XfirstfalseBudapest University of Technology and EconomicsHUfalseMetaJoshua Gahm11
https://openalex.org/W2823289908https://doi.org/10.1007/978-3-319-73776-8_12Playing Captain Kirk: Designing a Video Game Based on Star Trek20182018-01-01book-chapterSet Phasers to Teach!https://doi.org/10.1007/978-3-319-73776-8_121https://openalex.org/A5084891658https://openalex.org/A5084891658Mathias Luxhttps://orcid.org/0000-0002-8688-6388firsttrueUniversity of KlagenfurtATfalseMetaJohn N. A. Brown11
https://openalex.org/W2840915446https://doi.org/10.1007/978-3-319-73776-8_5The Computer of the Twenty-Third Century: Real-World HCI Based on Star Trek20182018-01-01book-chapterSet Phasers to Teach!https://doi.org/10.1007/978-3-319-73776-8_50name:Gerhard Leitner∅Gerhard Leitner∅firsttrueUniversity of KlagenfurtATfalseMetaJohn N. A. Brown11
https://openalex.org/W2888627508https://doi.org/10.1109/tpami.2018.2865351Convolutional Neural Network Architecture for Geometric Matching20182018-08-13articleIEEE Transactions on Pattern Analysis and Machine Intelligencehttps://doi.org/10.1109/tpami.2018.2865351105https://openalex.org/A5025398783https://openalex.org/A5025398783Josef Šivichttps://orcid.org/0000-0002-2554-5301lastfalseCzech Technical University in PragueCZfalseGoogle DeepMindRelja Arandjelović11
https://openalex.org/W2895642264https://doi.org/10.1007/978-3-030-01424-7_39Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio20182018-01-01conference-paperLecture Notes in Computer Sciencehttps://doi.org/10.1007/978-3-030-01424-7_3914https://openalex.org/A5024552077https://openalex.org/A5024552077Stanisław Jastrzȩbskihttps://orcid.org/0000-0003-4138-1818firsttrueJagiellonian UniversityPLtrueMetaNicolas Ballas; Stanisław Jastrzȩbski22
https://openalex.org/W2895642264https://doi.org/10.1007/978-3-030-01424-7_39Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio20182018-01-01conference-paperLecture Notes in Computer Sciencehttps://doi.org/10.1007/978-3-030-01424-7_3914https://openalex.org/A5069438696https://openalex.org/A5069438696Zachary Kenton∅middlefalseJagiellonian UniversityPLfalseMetaNicolas Ballas; Stanisław Jastrzȩbski22
https://openalex.org/W2904346598https://doi.org/10.1109/ismar-adjunct.2018.000203D PixMix: Image Inpainting in 3D Environments20182018-10-01conference-paper2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)https://doi.org/10.1109/ismar-adjunct.2018.0002016https://openalex.org/A5030473547https://openalex.org/A5030473547Shohei Morihttps://orcid.org/0000-0003-0540-7312firstfalseGraz University of TechnologyATfalseMetaJan Herling13
https://openalex.org/W2904346598https://doi.org/10.1109/ismar-adjunct.2018.000203D PixMix: Image Inpainting in 3D Environments20182018-10-01conference-paper2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)https://doi.org/10.1109/ismar-adjunct.2018.0002016https://openalex.org/A5031236945https://openalex.org/A5031236945Denis Kalkofenhttps://orcid.org/0000-0002-0359-206XlastfalseGraz University of TechnologyATfalseMetaJan Herling13
https://openalex.org/W2904346598https://doi.org/10.1109/ismar-adjunct.2018.000203D PixMix: Image Inpainting in 3D Environments20182018-10-01conference-paper2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)https://doi.org/10.1109/ismar-adjunct.2018.0002016https://openalex.org/A5048047909https://openalex.org/A5048047909Dieter Schmalstieghttps://orcid.org/0000-0003-2813-2235middlefalseGraz University of TechnologyATfalseMetaJan Herling13
https://openalex.org/W2923016229https://doi.org/10.1109/cvpr.2019.00365Cross-Task Weakly Supervised Learning From Instructional Videos20192019-06-01conference-paper2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)https://doi.org/10.1109/cvpr.2019.00365202https://openalex.org/A5025398783https://openalex.org/A5025398783Josef Šivichttps://orcid.org/0000-0002-2554-5301lastfalseCzech Technical University in PragueCZfalseGoogle DeepMindJean-Baptiste Alayrac11
https://openalex.org/W2945129795https://doi.org/10.48550/arxiv.1905.05968Comparing Wiener complexity with eccentric complexity20192019-05-15preprint∅http://arxiv.org/abs/1905.059680https://openalex.org/A5010565748https://openalex.org/A5010565748Vesna Iršičhttps://orcid.org/0000-0001-5302-5250middlefalseUniversity of LjubljanaSIfalseMetaAleksandar D. Ilic12
https://openalex.org/W2945129795https://doi.org/10.48550/arxiv.1905.05968Comparing Wiener complexity with eccentric complexity20192019-05-15preprint∅http://arxiv.org/abs/1905.059680https://openalex.org/A5049148828https://openalex.org/A5049148828Sandi Klavžarhttps://orcid.org/0000-0002-1556-4744middlefalseUniversity of LjubljanaSIfalseMetaAleksandar D. Ilic12
https://openalex.org/W2948859046https://doi.org/10.1109/iccv.2019.00272HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips20192019-10-01conference-paper2019 IEEE/CVF International Conference on Computer Vision (ICCV)https://doi.org/10.1109/iccv.2019.00272144https://openalex.org/A5025398783https://openalex.org/A5025398783Josef Šivichttps://orcid.org/0000-0002-2554-5301lastfalseCzech Technical University in PragueCZfalseGoogle DeepMindJean-Baptiste Alayrac11
https://openalex.org/W2950218512https://doi.org/10.48550/arxiv.1811.11147Understanding and Improving Kernel Local Descriptors20182018-11-27preprint∅http://arxiv.org/abs/1811.111470https://openalex.org/A5019409717https://openalex.org/A5019409717Ondřej Chumhttps://orcid.org/0000-0001-7042-1810lastfalseCzech Technical University in Prague; University of Chemistry and Technology, PragueCZfalseMetaHervé Jeǵou13
https://openalex.org/W2950218512https://doi.org/10.48550/arxiv.1811.11147Understanding and Improving Kernel Local Descriptors20182018-11-27preprint∅http://arxiv.org/abs/1811.111470https://openalex.org/A5025365289https://openalex.org/A5025365289Arun Mukundanhttps://orcid.org/0000-0003-2199-2718firstfalseCzech Technical University in Prague; University of Chemistry and Technology, PragueCZfalseMetaHervé Jeǵou13
https://openalex.org/W2950218512https://doi.org/10.48550/arxiv.1811.11147Understanding and Improving Kernel Local Descriptors20182018-11-27preprint∅http://arxiv.org/abs/1811.111470https://openalex.org/A5046083819https://openalex.org/A5046083819Giorgos Toliashttps://orcid.org/0000-0002-9570-3870middlefalseCzech Technical University in Prague; University of Chemistry and Technology, PragueCZfalseMetaHervé Jeǵou13
https://openalex.org/W2951827006https://doi.org/10.48550/arxiv.1407.6144On the String Consensus Problem and the Manhattan Sequence Consensus Problem20142014-07-23preprint∅http://arxiv.org/abs/1407.61440https://openalex.org/A5061843884https://openalex.org/A5061843884Tomasz Waleńhttps://orcid.org/0000-0002-7369-3309lastfalseUniversity of WarsawPLfalseOpenAIJakub Pachocki14
https://openalex.org/W2951827006https://doi.org/10.48550/arxiv.1407.6144On the String Consensus Problem and the Manhattan Sequence Consensus Problem20142014-07-23preprint∅http://arxiv.org/abs/1407.61440https://openalex.org/A5079957387https://openalex.org/A5079957387Wojciech Rytterhttps://orcid.org/0000-0002-9162-6724middlefalseUniversity of WarsawPLfalseOpenAIJakub Pachocki14
https://openalex.org/W2951827006https://doi.org/10.48550/arxiv.1407.6144On the String Consensus Problem and the Manhattan Sequence Consensus Problem20142014-07-23preprint∅http://arxiv.org/abs/1407.61440https://openalex.org/A5082711976https://openalex.org/A5082711976Jakub Radoszewskihttps://orcid.org/0000-0002-0067-6401middlefalseUniversity of WarsawPLfalseOpenAIJakub Pachocki14
https://openalex.org/W2951827006https://doi.org/10.48550/arxiv.1407.6144On the String Consensus Problem and the Manhattan Sequence Consensus Problem20142014-07-23preprint∅http://arxiv.org/abs/1407.61440https://openalex.org/A5086467798https://openalex.org/A5086467798Tomasz Kociumakahttps://orcid.org/0000-0002-2477-1702firstfalseUniversity of WarsawPLfalseOpenAIJakub Pachocki14
https://openalex.org/W2952599101https://doi.org/10.1007/s00145-023-09460-8Must the Communication Graph of MPC Protocols be an Expander?20232023-05-10articleJournal of Cryptologyhttps://doi.org/10.1007/s00145-023-09460-81https://openalex.org/A5005607969https://openalex.org/A5005607969Pavel Hubáčekhttps://orcid.org/0000-0002-6850-6222lastfalseCharles UniversityCZfalseMetaDeepesh Data11
https://openalex.org/W2954849416https://doi.org/10.1016/j.artint.2021.103645Rethinking formal models of partially observable multiagent decision making20212021-11-26articleArtificial Intelligencehttps://doi.org/10.1016/j.artint.2021.10364544https://openalex.org/A5049724462https://openalex.org/A5049724462Viliam Lisýhttps://orcid.org/0000-0002-1647-1507lasttrueCzech Technical University in PragueCZfalseGoogle DeepMindMartin Schmid; Michael Bowling; NEIL R. BURCH32
https://openalex.org/W2954849416https://doi.org/10.1016/j.artint.2021.103645Rethinking formal models of partially observable multiagent decision making20212021-11-26articleArtificial Intelligencehttps://doi.org/10.1016/j.artint.2021.10364544https://openalex.org/A5070122826https://openalex.org/A5070122826Vojtěch Kovaříkhttps://orcid.org/0000-0002-7954-9420firstfalseCzech Technical University in PragueCZfalseGoogle DeepMindMartin Schmid; Michael Bowling; NEIL R. BURCH32
https://openalex.org/W2962819303https://doi.org/10.48550/arxiv.1807.05031On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length20182018-07-13preprint∅http://arxiv.org/abs/1807.0503150https://openalex.org/A5024552077https://openalex.org/A5024552077Stanisław Jastrzȩbskihttps://orcid.org/0000-0003-4138-1818firstfalseJagiellonian UniversityPLfalseMetaNicolas Ballas11
https://openalex.org/W2970347269∅Regret Bounds for Learning State Representations in Reinforcement Learning20192019-12-01conference-paper∅http://hdl.handle.net/20.500.12210/221861https://openalex.org/A5031149136https://openalex.org/A5031149136Ronald Ortnerhttps://orcid.org/0000-0001-6033-2208firstfalseMontanuniversität LeobenATfalseMetaLazaric, Alessandro; Matteo Pirotta21
https://openalex.org/W2973822668https://doi.org/10.15804/athena.2015.45.10Facebook a polityka. Wykorzystanie serwisów społecznościowych przez polskie partie polityczne20152015-01-01articleAthenaeum Polskie Studia Politologicznehttps://doi.org/10.15804/athena.2015.45.101https://openalex.org/A5021609167https://openalex.org/A5021609167Kinga Karasek-Kędzior∅lastfalseAGH University of KrakowPLtrueMetaKinga Karasek-Kędzior12
https://openalex.org/W2973822668https://doi.org/10.15804/athena.2015.45.10Facebook a polityka. Wykorzystanie serwisów społecznościowych przez polskie partie polityczne20152015-01-01articleAthenaeum Polskie Studia Politologicznehttps://doi.org/10.15804/athena.2015.45.101https://openalex.org/A5045983474https://openalex.org/A5045983474Leszek Porębskihttps://orcid.org/0000-0002-9939-8420firstfalseAGH University of KrakowPLfalseMetaKinga Karasek-Kędzior12
https://openalex.org/W2979255327https://doi.org/10.1101/786236Structure-Based Protein Function Prediction using Graph Convolutional Networks20192019-10-04preprintbioRxivhttps://doi.org/10.1101/78623637name:Tomasz Kosciolek∅Tomasz Kosciolekhttps://orcid.org/0000-0002-9915-7387middlefalseJagiellonian UniversityPLfalseMetaKyunghyun Cho11
https://openalex.org/W2996358766https://doi.org/10.1038/s41598-019-55395-1Encoding Temporal Regularities and Information Copying in Hippocampal Circuits20192019-12-13articleScientific Reportshttps://doi.org/10.1038/s41598-019-55395-19https://openalex.org/A5070381268https://openalex.org/A5070381268Eörs Szathmáryhttps://orcid.org/0000-0001-5227-2997middlefalseHUN-REN Centre for Ecological Research; Institute of EvolutionHUfalseGoogle DeepMindChrisantha Fernando11
https://openalex.org/W2996753937https://doi.org/10.1016/j.dam.2021.07.006On conjectures of network distance measures by using graph spectra20212021-07-20articleDiscrete Applied Mathematicshttps://doi.org/10.1016/j.dam.2021.07.0060name:Matthias Dehmer∅Matthias Dehmer∅lastfalseUMIT TIROL - Private University for Health Sciences and Health Technology; University of Applied Sciences Upper AustriaATfalseMetaAleksandar D. Ilic11
https://openalex.org/W2997204642https://doi.org/10.1016/j.ifacol.2019.12.454Communication of Cost Oriented Humanoid Robots20192019-01-01articleIFAC-PapersOnLinehttps://doi.org/10.1016/j.ifacol.2019.12.4541https://openalex.org/A5053804472https://openalex.org/A5053804472P. Kopáčekhttps://orcid.org/0000-0002-5355-4758lasttrueTU WienATfalseMetaAhmad Byagowi12
https://openalex.org/W2997204642https://doi.org/10.1016/j.ifacol.2019.12.454Communication of Cost Oriented Humanoid Robots20192019-01-01articleIFAC-PapersOnLinehttps://doi.org/10.1016/j.ifacol.2019.12.4541https://openalex.org/A5067932847https://openalex.org/A5067932847F. Dincer∅firsttrueTU WienATfalseMetaAhmad Byagowi12
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