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Alireza Khanteymoori
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2020 – today
- 2024
- [c3]Lena Schmidt, Kaitlyn Hair, Sergio Graziozi, Fiona Campbell, Claudia Kapp, Alireza Khanteymoori, Dawn Craig, Mark Engelbert, James Thomas:
Exploring the Use of a Large Language Model for Data Extraction in Systematic Reviews: A Rapid Feasibility Study. ALTARS@ECIR 2024 - [i3]Lena Schmidt, Kaitlyn Hair, Sergio Graziozi, Fiona Campbell, Claudia Kapp, Alireza Khanteymoori, Dawn Craig, Mark Engelbert, James Thomas:
Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study. CoRR abs/2405.14445 (2024) - 2023
- [j6]Babak Rokh, Ali Azarpeyvand, Alireza Khanteymoori:
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification. ACM Trans. Intell. Syst. Technol. 14(6): 97:1-97:50 (2023) - [c2]Sepideh Nahali, Leila Safari, Alireza Khanteymoori, Hajer Ayadi, Jimmy X. Huang:
IsoGloVe: A New Count-based Graph Embedding Method based on Geodesic Distance. Canadian AI 2023 - 2022
- [j5]Roghayyeh Alipanahi, Leila Safari, Alireza Khanteymoori:
CRISPR genome editing using computational approaches: A survey. Frontiers Bioinform. 2 (2022) - [j4]Arman Ferdowsi, Maryam Dehghan Chenary, Alireza Khanteymoori:
TSCDA: a dynamic two-stage community discovery approach. Soc. Netw. Anal. Min. 12(1): 46 (2022) - [j3]Omid Abbaszadeh, Ali Azarpeyvand, Alireza Khanteymoori, Abbas Bahari:
Data-Driven and Knowledge-Based Algorithms for Gene Network Reconstruction on High-Dimensional Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1545-1557 (2022) - [i2]Babak Rokh, Ali Azarpeyvand, Alireza Khanteymoori:
A Comprehensive Survey on Model Quantization for Deep Neural Networks. CoRR abs/2205.07877 (2022) - 2021
- [j2]Alireza Khanteymoori, Fatemeh Alamdar, Farzaneh Ghorbani:
ARP: asexual reproduction programming. Connect. Sci. 33(2): 256-277 (2021) - [j1]Qiang Gu, Anup Kumar, Simon Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn A. Grüning, Jeremy Goecks:
Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine. PLoS Comput. Biol. 17(6) (2021) - [c1]Arman Ferdowsi, Alireza Khanteymoori:
Discovering Communities in Networks: A Linear Programming Approach Using Max-Min Modularity. FedCSIS 2021: 329-335 - [i1]Anna-Lena Lamprecht, Magnus Palmblad, Jon C. Ison, Veit Schwämmle, Mohammad Sadnan Al Manir, Ilkay Altintas, Christopher J. O. Baker, Ammar Ben Hadj Amor, Salvador Capella-Gutiérrez, Paulos Charonyktakis, Michael R. Crusoe, Yolanda Gil, Carole A. Goble, Timothy J. Griffin, Paul Groth, Hans Ienasescu, Pratik D. Jagtap, Matús Kalas, Vedran Kasalica, Alireza Khanteymoori, Tobias Kuhn, Hailiang Mei, Hervé Ménager, Steffen Möller, Robin A. Richardson, Vincent Robert, Stian Soiland-Reyes, Robert Stevens, Szaniszlo Szoke, Suzan Verberne, Aswin Verhoeven, Katherine Wolstencroft:
Perspectives on automated composition of workflows in the life sciences. F1000Research 10: 897 (2021)
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last updated on 2024-12-05 21:40 CET by the dblp team
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