Table detection using deep learning A Gilani, SR Qasim, I Malik, F Shafait
2017 14th IAPR international conference on document analysis and recognition …, 2017
223 2017 Rethinking table recognition using graph neural networks SR Qasim, H Mahmood, F Shafait
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
168 2019 Learning representations of irregular particle-detector geometry with distance-weighted graph networks SR Qasim, J Kieseler, Y Iiyama, M Pierini
The European Physical Journal C 79 (7), 1-11, 2019
163 2019 Distance-weighted graph neural networks on FPGAs for real-time particle reconstruction in high energy physics Y Iiyama, G Cerminara, A Gupta, J Kieseler, V Loncar, M Pierini, ...
Frontiers in big Data 3, 598927, 2021
68 2021 End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks SR Qasim, N Chernyavskaya, J Kieseler, K Long, O Viazlo, M Pierini, ...
The European Physical Journal C 82 (8), 1-15, 2022
25 2022 Construction and commissioning of CMS CE prototype silicon modules B Acar, G Adamov, C Adloff, S Afanasiev, N Akchurin, B Akgün, ...
Journal of Instrumentation 16 (04), T04002, 2021
24 2021 GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter S Bhattacharya, N Chernyavskaya, S Ghosh, L Gray, J Kieseler, ...
Journal of Physics: Conference Series 2438 (1), 012090, 2023
21 2023 Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks SR Qasim, K Long, J Kieseler, M Pierini, R Nawaz
EPJ Web of Conferences 251, 03072, 2021
19 2021 Precision measurement of the baryon lifetime R Aaij, ASW Abdelmotteleb, CA Beteta, F Abudinén, T Ackernley, ...
arXiv preprint arXiv:2406.12111, 2024
15 2024 The DAQ system of the 12,000 channel CMS high granularity calorimeter prototype B Acar, G Adamov, C Adloff, S Afanasiev, N Akchurin, B Akgün, ...
Journal of Instrumentation 16 (04), T04001, 2021
15 2021 Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20–300 GeV/c B Acar, G Adamov, C Adloff, S Afanasiev, N Akchurin, B Akgün, ...
Journal of Instrumentation 18 (08), P08014, 2023
10 2023 Deepjetcore J Kieseler, M Stoye, M Verzetti, P Silva, SS Mehta, A Stakia, Y Iiyama, ...
Zenodo, doi 10, 2020
5 2020 Neutron irradiation and electrical characterisation of the first 8” silicon pad sensor prototypes for the CMS calorimeter endcap upgrade B Acar, G Adamov, C Adloff, S Afanasiev, N Akchurin, B Akgün, ...
Journal of Instrumentation 18 (08), P08024, 2023
1 2023 Study of charmonium production via the decay to at R Aaij, ASW Abdelmotteleb, CA Beteta, F Abudinén, T Ackernley, ...
arXiv preprint arXiv:2407.14261, 2024
2024 Amplitude analysis of decays R Aaij, ASW Abdelmotteleb, CA Beteta, F Abudinén, T Ackernley, ...
arXiv preprint arXiv:2407.12475, 2024
2024 Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter M Aamir, B Acar, G Adamov, T Adams, C Adloff, S Afanasiev, C Agrawal, ...
2024 Search for the rare decay R Aaij, ASW Abdelmotteleb, CA Beteta, F Abudinén, T Ackernley, ...
arXiv preprint arXiv:2407.11474, 2024
2024 Probing the nature of the state using radiative decays R Aaij, ASW Abdelmotteleb, CA Beteta, F Abudinén, T Ackernley, ...
arXiv preprint arXiv:2406.17006, 2024
2024 arXiv : Precision measurement of the baryon lifetime R Aaij, S Okamura, J Wu, G Ciezarek, MW Dudek, P Collins, L Santoro, ...
2024 arXiv: Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter A Alpana, H Pham, B Kaynak, C Ochando, N Akchurin, S Akbar, M Imran, ...
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