Long short-term memory (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Long short-term memory" in English language version.

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32doi.org

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academia.edu (Global: 121^st place; English: 142^nd place)

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aclanthology.org (Global: low place; English: low place)

Lakretz, Yair; Kruszewski, German; Desbordes, Theo; Hupkes, Dieuwke; Dehaene, Stanislas; Baroni, Marco (2019), "The emergence of number and syntax units in", The emergence of number and syntax units (PDF), Association for Computational Linguistics, pp. 11–20, doi:10.18653/v1/N19-1002, hdl:11245.1/16cb6800-e10d-4166-8e0b-fed61ca6ebb4, S2CID 81978369

acm.org (Global: 1,185^th place; English: 840^th place)

dl.acm.org

Hochreiter, Sepp; Schmidhuber, Jürgen (1996-12-03). "LSTM can solve hard long time lag problems". Proceedings of the 9th International Conference on Neural Information Processing Systems. NIPS'96. Cambridge, MA, USA: MIT Press: 473–479.
Fernández, S.; Graves, A.; Schmidhuber, J. (9 September 2007). "An Application of Recurrent Neural Networks to Discriminative Keyword Spotting". Proceedings of the 17th International Conference on Artificial Neural Networks. ICANN'07. Berlin, Heidelberg: Springer-Verlag: 220–229. ISBN 978-3540746935. Retrieved 28 December 2023.
Graves, A.; Fernández, S.; Liwicki, M.; Bunke, H.; Schmidhuber, J. (3 December 2007). "Unconstrained Online Handwriting Recognition with Recurrent Neural Networks". Proceedings of the 20th International Conference on Neural Information Processing Systems. NIPS'07. USA: Curran Associates Inc.: 577–584. ISBN 9781605603520. Retrieved 28 December 2023.
Srivastava, Rupesh K; Greff, Klaus; Schmidhuber, Juergen (December 2015). Written at Montreal, Canada. Training Very Deep Networks. NIPS'15: Proceedings of the 29th International Conference on Neural Information Processing Systems. Vol. 2. Cambridge, MA, United States: MIT Press. pp. 2377–2385.
Baytas, Inci M.; Xiao, Cao; Zhang, Xi; Wang, Fei; Jain, Anil K.; Zhou, Jiayu (2017-08-04). "Patient Subtyping via Time-Aware LSTM Networks". Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: Association for Computing Machinery. pp. 65–74. doi:10.1145/3097983.3097997. ISBN 978-1-4503-4887-4.

allthingsdistributed.com (Global: low place; English: low place)

Vogels, Werner (30 November 2016). "Bringing the Magic of Amazon AI and Alexa to Apps on AWS. – All Things Distributed". www.allthingsdistributed.com. Retrieved 2017-06-27.

apple.com (Global: 67^th place; English: 64^th place)

machinelearning.apple.com

"Can Global Semantic Context Improve Neural Language Models? – Apple". Apple Machine Learning Journal. Retrieved 2020-04-30.

arxiv.org (Global: 69^th place; English: 59^th place)

Karim, Fazle; Majumdar, Somshubra; Darabi, Houshang; Chen, Shun (2018). "LSTM Fully Convolutional Networks for Time Series Classification". IEEE Access. 6: 1662–1669. arXiv:1709.05206. Bibcode:2018IEEEA...6.1662K. doi:10.1109/ACCESS.2017.2779939. ISSN 2169-3536.
Li, Xiangang; Wu, Xihong (2014-10-15). "Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition". arXiv:1410.4281 [cs.CL].
Wu, Yonghui; Schuster, Mike; Chen, Zhifeng; Le, Quoc V.; Norouzi, Mohammad; Macherey, Wolfgang; Krikun, Maxim; Cao, Yuan; Gao, Qin (2016-09-26). "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation". arXiv:1609.08144 [cs.CL].
Sahidullah, Md; Patino, Jose; Cornell, Samuele; Yin, Ruiking; Sivasankaran, Sunit; Bredin, Herve; Korshunov, Pavel; Brutti, Alessio; Serizel, Romain; Vincent, Emmanuel; Evans, Nicholas; Marcel, Sebastien; Squartini, Stefano; Barras, Claude (2019-11-06). "The Speed Submission to DIHARD II: Contributions & Lessons Learned". arXiv:1911.02388 [eess.AS].
Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (2015). "LSTM: A Search Space Odyssey". IEEE Transactions on Neural Networks and Learning Systems. 28 (10): 2222–2232. arXiv:1503.04069. Bibcode:2015arXiv150304069G. doi:10.1109/TNNLS.2016.2582924. PMID 27411231. S2CID 3356463.
Xingjian Shi; Zhourong Chen; Hao Wang; Dit-Yan Yeung; Wai-kin Wong; Wang-chun Woo (2015). "Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting". Proceedings of the 28th International Conference on Neural Information Processing Systems: 802–810. arXiv:1506.04214. Bibcode:2015arXiv150604214S.
Graves, Alex; Mohamed, Abdel-rahman; Hinton, Geoffrey (2013). "Speech recognition with deep recurrent neural networks". 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. pp. 6645–6649. arXiv:1303.5778. doi:10.1109/ICASSP.2013.6638947. ISBN 978-1-4799-0356-6. S2CID 206741496.
Kratzert, Frederik; Klotz, Daniel; Shalev, Guy; Klambauer, Günter; Hochreiter, Sepp; Nearing, Grey (2019-12-17). "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets". Hydrology and Earth System Sciences. 23 (12): 5089–5110. arXiv:1907.08456. Bibcode:2019HESS...23.5089K. doi:10.5194/hess-23-5089-2019. ISSN 1027-5606.
Huang, Jie; Zhou, Wengang; Zhang, Qilin; Li, Houqiang; Li, Weiping (2018-01-30). "Video-based Sign Language Recognition without Temporal Segmentation". arXiv:1801.10111 [cs.CV].
Tax, N.; Verenich, I.; La Rosa, M.; Dumas, M. (2017). "Predictive Business Process Monitoring with LSTM Neural Networks". Advanced Information Systems Engineering. Lecture Notes in Computer Science. Vol. 10253. pp. 477–492. arXiv:1612.02130. doi:10.1007/978-3-319-59536-8_30. ISBN 978-3-319-59535-1. S2CID 2192354.
Choi, E.; Bahadori, M.T.; Schuetz, E.; Stewart, W.; Sun, J. (2016). "Doctor AI: Predicting Clinical Events via Recurrent Neural Networks". JMLR Workshop and Conference Proceedings. 56: 301–318. arXiv:1511.05942. Bibcode:2015arXiv151105942C. PMC 5341604. PMID 28286600.
Jia, Robin; Liang, Percy (2016). "Data Recombination for Neural Semantic Parsing". arXiv:1606.03622 [cs.CL].
Orsini, F.; Gastaldi, M.; Mantecchini, L.; Rossi, R. (2019). Neural networks trained with WiFi traces to predict airport passenger behavior. 6th International Conference on Models and Technologies for Intelligent Transportation Systems. Krakow: IEEE. arXiv:1910.14026. doi:10.1109/MTITS.2019.8883365. 8883365.
Xiong, W.; Wu, L.; Alleva, F.; Droppo, J.; Huang, X.; Stolcke, A. (April 2018). "The Microsoft 2017 Conversational Speech Recognition System". 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. pp. 5934–5938. arXiv:1708.06073. doi:10.1109/ICASSP.2018.8461870. ISBN 978-1-5386-4658-8.
Schmidhuber, Juergen (10 May 2021). "Deep Learning: Our Miraculous Year 1990-1991". arXiv:2005.05744 [cs.NE].
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Srivastava, Rupesh Kumar; Greff, Klaus; Schmidhuber, Jürgen (2 May 2015). "Highway Networks". arXiv:1505.00387 [cs.LG].
He, Kaiming; Zhang, Xiangyu; Ren, Shaoqing; Sun, Jian (2016). "Deep Residual Learning for Image Recognition". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. pp. 770–778. arXiv:1512.03385. doi:10.1109/CVPR.2016.90. ISBN 978-1-4673-8851-1.
Beck, Maximilian; Pöppel, Korbinian; Spanring, Markus; Auer, Andreas; Prudnikova, Oleksandra; Kopp, Michael; Klambauer, Günter; Brandstetter, Johannes; Hochreiter, Sepp (2024-05-07). "xLSTM: Extended Long Short-Term Memory". arXiv:2405.04517 [cs.LG].

bgr.com (Global: 7,049^th place; English: 4,298^th place)

Smith, Chris (2016-06-13). "iOS 10: Siri now works in third-party apps, comes with extra AI features". BGR. Retrieved 2017-06-27.

copernicus.org (Global: 7,281^st place; English: 5,368^th place)

hess.copernicus.org

Kratzert, Frederik; Klotz, Daniel; Shalev, Guy; Klambauer, Günter; Hochreiter, Sepp; Nearing, Grey (2019-12-17). "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets". Hydrology and Earth System Sciences. 23 (12): 5089–5110. arXiv:1907.08456. Bibcode:2019HESS...23.5089K. doi:10.5194/hess-23-5089-2019. ISSN 1027-5606.

doi.org (Global: 2^nd place; English: 2^nd place)

Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276. S2CID 1915014.
Felix A. Gers; Jürgen Schmidhuber; Fred Cummins (2000). "Learning to Forget: Continual Prediction with LSTM". Neural Computation. 12 (10): 2451–2471. CiteSeerX 10.1.1.55.5709. doi:10.1162/089976600300015015. PMID 11032042. S2CID 11598600.
Karim, Fazle; Majumdar, Somshubra; Darabi, Houshang; Chen, Shun (2018). "LSTM Fully Convolutional Networks for Time Series Classification". IEEE Access. 6: 1662–1669. arXiv:1709.05206. Bibcode:2018IEEEA...6.1662K. doi:10.1109/ACCESS.2017.2779939. ISSN 2169-3536.
Mayer, H.; Gomez, F.; Wierstra, D.; Nagy, I.; Knoll, A.; Schmidhuber, J. (October 2006). "A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks". 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 543–548. CiteSeerX 10.1.1.218.3399. doi:10.1109/IROS.2006.282190. ISBN 978-1-4244-0258-8. S2CID 12284900.
Lakretz, Yair; Kruszewski, German; Desbordes, Theo; Hupkes, Dieuwke; Dehaene, Stanislas; Baroni, Marco (2019), "The emergence of number and syntax units in", The emergence of number and syntax units (PDF), Association for Computational Linguistics, pp. 11–20, doi:10.18653/v1/N19-1002, hdl:11245.1/16cb6800-e10d-4166-8e0b-fed61ca6ebb4, S2CID 81978369
Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (2015). "LSTM: A Search Space Odyssey". IEEE Transactions on Neural Networks and Learning Systems. 28 (10): 2222–2232. arXiv:1503.04069. Bibcode:2015arXiv150304069G. doi:10.1109/TNNLS.2016.2582924. PMID 27411231. S2CID 3356463.
Gers, F. A.; Schmidhuber, J. (2001). "LSTM Recurrent Networks Learn Simple Context Free and Context Sensitive Languages" (PDF). IEEE Transactions on Neural Networks. 12 (6): 1333–1340. Bibcode:2001ITNN...12.1333G. doi:10.1109/72.963769. PMID 18249962. S2CID 10192330. Archived from the original (PDF) on 2017-07-06.
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Graves, Alex; Mohamed, Abdel-rahman; Hinton, Geoffrey (2013). "Speech recognition with deep recurrent neural networks". 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. pp. 6645–6649. arXiv:1303.5778. doi:10.1109/ICASSP.2013.6638947. ISBN 978-1-4799-0356-6. S2CID 206741496.
Kratzert, Frederik; Klotz, Daniel; Shalev, Guy; Klambauer, Günter; Hochreiter, Sepp; Nearing, Grey (2019-12-17). "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets". Hydrology and Earth System Sciences. 23 (12): 5089–5110. arXiv:1907.08456. Bibcode:2019HESS...23.5089K. doi:10.5194/hess-23-5089-2019. ISSN 1027-5606.
Eck, Douglas; Schmidhuber, Jürgen (2002-08-28). "Learning the Long-Term Structure of the Blues". Artificial Neural Networks — ICANN 2002. Lecture Notes in Computer Science. Vol. 2415. Springer, Berlin, Heidelberg. pp. 284–289. CiteSeerX 10.1.1.116.3620. doi:10.1007/3-540-46084-5_47. ISBN 978-3540460848.
Schmidhuber, J.; Gers, F.; Eck, D.; Schmidhuber, J.; Gers, F. (2002). "Learning nonregular languages: A comparison of simple recurrent networks and LSTM". Neural Computation. 14 (9): 2039–2041. CiteSeerX 10.1.1.11.7369. doi:10.1162/089976602320263980. PMID 12184841. S2CID 30459046.
Perez-Ortiz, J. A.; Gers, F. A.; Eck, D.; Schmidhuber, J. (2003). "Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets". Neural Networks. 16 (2): 241–250. CiteSeerX 10.1.1.381.1992. doi:10.1016/s0893-6080(02)00219-8. PMID 12628609.
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Thireou, T.; Reczko, M. (2007). "Bidirectional Long Short-Term Memory Networks for predicting the subcellular localization of eukaryotic proteins". IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4 (3): 441–446. Bibcode:2007ITCBB...4..441T. doi:10.1109/tcbb.2007.1015. PMID 17666763. S2CID 11787259.
Tax, N.; Verenich, I.; La Rosa, M.; Dumas, M. (2017). "Predictive Business Process Monitoring with LSTM Neural Networks". Advanced Information Systems Engineering. Lecture Notes in Computer Science. Vol. 10253. pp. 477–492. arXiv:1612.02130. doi:10.1007/978-3-319-59536-8_30. ISBN 978-3-319-59535-1. S2CID 2192354.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447.
Duan, Xuhuan; Wang, Le; Zhai, Changbo; Zheng, Nanning; Zhang, Qilin; Niu, Zhenxing; Hua, Gang (2018). "Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation". 2018 25th IEEE International Conference on Image Processing (ICIP). 25th IEEE International Conference on Image Processing (ICIP). pp. 918–922. doi:10.1109/icip.2018.8451692. ISBN 978-1-4799-7061-2.
Orsini, F.; Gastaldi, M.; Mantecchini, L.; Rossi, R. (2019). Neural networks trained with WiFi traces to predict airport passenger behavior. 6th International Conference on Models and Technologies for Intelligent Transportation Systems. Krakow: IEEE. arXiv:1910.14026. doi:10.1109/MTITS.2019.8883365. 8883365.
Zhao, Z.; Chen, W.; Wu, X.; Chen, P.C.Y.; Liu, J. (2017). "LSTM network: A deep learning approach for Short-term traffic forecast". IET Intelligent Transport Systems. 11 (2): 68–75. doi:10.1049/iet-its.2016.0208. S2CID 114567527.
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Saiful Islam, Md.; Hossain, Emam (2020-10-26). "Foreign Exchange Currency Rate Prediction using a GRU-LSTM Hybrid Network". Soft Computing Letters. 3 100009. doi:10.1016/j.socl.2020.100009. ISSN 2666-2221.
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github.com (Global: 383^rd place; English: 320^th place)

NX-AI/xlstm, NXAI, 2024-06-04, retrieved 2024-06-04

googleblog.blogspot.com (Global: 3,598^th place; English: 3,448^th place)

"Neon prescription... or rather, New transcription for Google Voice". Official Google Blog. 23 July 2015. Retrieved 2020-04-25.

googleblog.com (Global: 1,272^nd place; English: 837^th place)

ai.googleblog.com

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googleresearch.blogspot.co.at (Global: low place; English: low place)

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googleresearch.blogspot.co.uk (Global: low place; English: low place)

Sak, Haşim; Senior, Andrew; Rao, Kanishka; Beaufays, Françoise; Schalkwyk, Johan (September 24, 2015). "Google voice search: faster and more accurate". Research Blog. Retrieved 2017-06-27.

googleusercontent.com (Global: 243^rd place; English: 882^nd place)

static.googleusercontent.com

Sak, Hasim; Senior, Andrew; Beaufays, Francoise (2014). "Long Short-Term Memory recurrent neural network architectures for large scale acoustic modeling" (PDF). Archived from the original (PDF) on 2018-04-24.

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Lakretz, Yair; Kruszewski, German; Desbordes, Theo; Hupkes, Dieuwke; Dehaene, Stanislas; Baroni, Marco (2019), "The emergence of number and syntax units in", The emergence of number and syntax units (PDF), Association for Computational Linguistics, pp. 11–20, doi:10.18653/v1/N19-1002, hdl:11245.1/16cb6800-e10d-4166-8e0b-fed61ca6ebb4, S2CID 81978369

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Karim, Fazle; Majumdar, Somshubra; Darabi, Houshang; Chen, Shun (2018). "LSTM Fully Convolutional Networks for Time Series Classification". IEEE Access. 6: 1662–1669. arXiv:1709.05206. Bibcode:2018IEEEA...6.1662K. doi:10.1109/ACCESS.2017.2779939. ISSN 2169-3536.
Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (2015). "LSTM: A Search Space Odyssey". IEEE Transactions on Neural Networks and Learning Systems. 28 (10): 2222–2232. arXiv:1503.04069. Bibcode:2015arXiv150304069G. doi:10.1109/TNNLS.2016.2582924. PMID 27411231. S2CID 3356463.
Gers, F. A.; Schmidhuber, J. (2001). "LSTM Recurrent Networks Learn Simple Context Free and Context Sensitive Languages" (PDF). IEEE Transactions on Neural Networks. 12 (6): 1333–1340. Bibcode:2001ITNN...12.1333G. doi:10.1109/72.963769. PMID 18249962. S2CID 10192330. Archived from the original (PDF) on 2017-07-06.
Xingjian Shi; Zhourong Chen; Hao Wang; Dit-Yan Yeung; Wai-kin Wong; Wang-chun Woo (2015). "Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting". Proceedings of the 28th International Conference on Neural Information Processing Systems: 802–810. arXiv:1506.04214. Bibcode:2015arXiv150604214S.
Kratzert, Frederik; Klotz, Daniel; Shalev, Guy; Klambauer, Günter; Hochreiter, Sepp; Nearing, Grey (2019-12-17). "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets". Hydrology and Earth System Sciences. 23 (12): 5089–5110. arXiv:1907.08456. Bibcode:2019HESS...23.5089K. doi:10.5194/hess-23-5089-2019. ISSN 1027-5606.
Thireou, T.; Reczko, M. (2007). "Bidirectional Long Short-Term Memory Networks for predicting the subcellular localization of eukaryotic proteins". IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4 (3): 441–446. Bibcode:2007ITCBB...4..441T. doi:10.1109/tcbb.2007.1015. PMID 17666763. S2CID 11787259.
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Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447.
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Graves, A.; Liwicki, M.; Fernández, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (May 2009). "A Novel Connectionist System for Unconstrained Handwriting Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence. 31 (5): 855–868. Bibcode:2009ITPAM..31..855G. CiteSeerX 10.1.1.139.4502. doi:10.1109/tpami.2008.137. ISSN 0162-8828. PMID 19299860. S2CID 14635907.

idsia.ch (Global: low place; English: low place)

people.idsia.ch

Schmidhuber, Jürgen (2021). "The 2010s: Our Decade of Deep Learning / Outlook on the 2020s". AI Blog. IDSIA, Switzerland. Retrieved 2022-04-30.
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isca-speech.org (Global: low place; English: low place)

Capes, Tim; Coles, Paul; Conkie, Alistair; Golipour, Ladan; Hadjitarkhani, Abie; Hu, Qiong; Huddleston, Nancy; Hunt, Melvyn; Li, Jiangchuan; Neeracher, Matthias; Prahallad, Kishore (2017-08-20). "Siri On-Device Deep Learning-Guided Unit Selection Text-to-Speech System". Interspeech 2017. ISCA: 4011–4015. doi:10.21437/Interspeech.2017-1798.

jku.at (Global: low place; English: low place)

bioinf.jku.at

Hochreiter, Sepp (1991). Untersuchungen zu dynamischen neuronalen Netzen (PDF) (diploma thesis). Technical University Munich, Institute of Computer Science.
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jmlr.org (Global: low place; English: low place)

Gers, F.; Schraudolph, N.; Schmidhuber, J. (2002). "Learning precise timing with LSTM recurrent networks" (PDF). Journal of Machine Learning Research. 3: 115–143.

medium.com (Global: 551^st place; English: 406^th place)

Stanford, Stacy (January 25, 2019). "DeepMind's AI, AlphaStar Showcases Significant Progress Towards AGI". Medium ML Memoirs. Retrieved 2019-01-15.

mlr.press (Global: low place; English: low place)

proceedings.mlr.press

Choi, E.; Bahadori, M.T.; Schuetz, E.; Stewart, W.; Sun, J. (2016). "Doctor AI: Predicting Clinical Events via Recurrent Neural Networks". JMLR Workshop and Conference Proceedings. 56: 301–318. arXiv:1511.05942. Bibcode:2015arXiv151105942C. PMC 5341604. PMID 28286600.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276. S2CID 1915014.
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Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (2015). "LSTM: A Search Space Odyssey". IEEE Transactions on Neural Networks and Learning Systems. 28 (10): 2222–2232. arXiv:1503.04069. Bibcode:2015arXiv150304069G. doi:10.1109/TNNLS.2016.2582924. PMID 27411231. S2CID 3356463.
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Perez-Ortiz, J. A.; Gers, F. A.; Eck, D.; Schmidhuber, J. (2003). "Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets". Neural Networks. 16 (2): 241–250. CiteSeerX 10.1.1.381.1992. doi:10.1016/s0893-6080(02)00219-8. PMID 12628609.
Hochreiter, S.; Heusel, M.; Obermayer, K. (2007). "Fast model-based protein homology detection without alignment". Bioinformatics. 23 (14): 1728–1736. doi:10.1093/bioinformatics/btm247. PMID 17488755.
Thireou, T.; Reczko, M. (2007). "Bidirectional Long Short-Term Memory Networks for predicting the subcellular localization of eukaryotic proteins". IEEE/ACM Transactions on Computational Biology and Bioinformatics. 4 (3): 441–446. Bibcode:2007ITCBB...4..441T. doi:10.1109/tcbb.2007.1015. PMID 17666763. S2CID 11787259.
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Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447.
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Graves, A.; Liwicki, M.; Fernández, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (May 2009). "A Novel Connectionist System for Unconstrained Handwriting Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence. 31 (5): 855–868. Bibcode:2009ITPAM..31..855G. CiteSeerX 10.1.1.139.4502. doi:10.1109/tpami.2008.137. ISSN 0162-8828. PMID 19299860. S2CID 14635907.

ncbi.nlm.nih.gov

Choi, E.; Bahadori, M.T.; Schuetz, E.; Stewart, W.; Sun, J. (2016). "Doctor AI: Predicting Clinical Events via Recurrent Neural Networks". JMLR Workshop and Conference Proceedings. 56: 301–318. arXiv:1511.05942. Bibcode:2015arXiv151105942C. PMC 5341604. PMID 28286600.
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447.
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openai.com (Global: 1,559^th place; English: 1,155^th place)

"Learning Dexterity". OpenAI. July 30, 2018. Retrieved 2023-06-28.

psu.edu (Global: 207^th place; English: 136^th place)

citeseerx.ist.psu.edu

Felix A. Gers; Jürgen Schmidhuber; Fred Cummins (2000). "Learning to Forget: Continual Prediction with LSTM". Neural Computation. 12 (10): 2451–2471. CiteSeerX 10.1.1.55.5709. doi:10.1162/089976600300015015. PMID 11032042. S2CID 11598600.
Graves, Alex; Fernández, Santiago; Gomez, Faustino; Schmidhuber, Jürgen (2006). "Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks". In Proceedings of the International Conference on Machine Learning, ICML 2006: 369–376. CiteSeerX 10.1.1.75.6306.
Mayer, H.; Gomez, F.; Wierstra, D.; Nagy, I.; Knoll, A.; Schmidhuber, J. (October 2006). "A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks". 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 543–548. CiteSeerX 10.1.1.218.3399. doi:10.1109/IROS.2006.282190. ISBN 978-1-4244-0258-8. S2CID 12284900.
Fernández, Santiago; Graves, Alex; Schmidhuber, Jürgen (2007). "Sequence labelling in structured domains with hierarchical recurrent neural networks". Proc. 20th Int. Joint Conf. On Artificial Intelligence, Ijcai 2007: 774–779. CiteSeerX 10.1.1.79.1887.
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Eck, Douglas; Schmidhuber, Jürgen (2002-08-28). "Learning the Long-Term Structure of the Blues". Artificial Neural Networks — ICANN 2002. Lecture Notes in Computer Science. Vol. 2415. Springer, Berlin, Heidelberg. pp. 284–289. CiteSeerX 10.1.1.116.3620. doi:10.1007/3-540-46084-5_47. ISBN 978-3540460848.
Schmidhuber, J.; Gers, F.; Eck, D.; Schmidhuber, J.; Gers, F. (2002). "Learning nonregular languages: A comparison of simple recurrent networks and LSTM". Neural Computation. 14 (9): 2039–2041. CiteSeerX 10.1.1.11.7369. doi:10.1162/089976602320263980. PMID 12184841. S2CID 30459046.
Perez-Ortiz, J. A.; Gers, F. A.; Eck, D.; Schmidhuber, J. (2003). "Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets". Neural Networks. 16 (2): 241–250. CiteSeerX 10.1.1.381.1992. doi:10.1016/s0893-6080(02)00219-8. PMID 12628609.
Hochreiter, S.; Younger, A. S.; Conwell, P. R. (2001). "Learning to Learn Using Gradient Descent". Artificial Neural Networks — ICANN 2001 (PDF). Lecture Notes in Computer Science. Vol. 2130. pp. 87–94. CiteSeerX 10.1.1.5.323. doi:10.1007/3-540-44668-0_13. ISBN 978-3-540-42486-4. ISSN 0302-9743. S2CID 52872549.
Graves, A.; Liwicki, M.; Fernández, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (May 2009). "A Novel Connectionist System for Unconstrained Handwriting Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence. 31 (5): 855–868. Bibcode:2009ITPAM..31..855G. CiteSeerX 10.1.1.139.4502. doi:10.1109/tpami.2008.137. ISSN 0162-8828. PMID 19299860. S2CID 14635907.

qilin-zhang.github.io (Global: low place; English: low place)

Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" (PDF). Sensors. 18 (5): 1657. Bibcode:2018Senso..18.1657W. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447.

researchgate.net (Global: 120^th place; English: 125^th place)

Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276. S2CID 1915014.
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semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Sepp Hochreiter; Jürgen Schmidhuber (1997). "Long short-term memory". Neural Computation. 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276. S2CID 1915014.
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Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (2015). "LSTM: A Search Space Odyssey". IEEE Transactions on Neural Networks and Learning Systems. 28 (10): 2222–2232. arXiv:1503.04069. Bibcode:2015arXiv150304069G. doi:10.1109/TNNLS.2016.2582924. PMID 27411231. S2CID 3356463.
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Graves, A.; Liwicki, M.; Fernández, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (May 2009). "A Novel Connectionist System for Unconstrained Handwriting Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence. 31 (5): 855–868. Bibcode:2009ITPAM..31..855G. CiteSeerX 10.1.1.139.4502. doi:10.1109/tpami.2008.137. ISSN 0162-8828. PMID 19299860. S2CID 14635907.
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tandfonline.com (Global: 507^th place; English: 429^th place)

Martin, Abbey; Hill, Andrew J.; Seiler, Konstantin M.; Balamurali, Mehala (2024-05-27). "Automatic excavator action recognition and localisation for untrimmed video using hybrid LSTM-Transformer networks". International Journal of Mining, Reclamation and Environment. 38 (5): 353–372. Bibcode:2024IJMRE..38..353M. doi:10.1080/17480930.2023.2290364. ISSN 1748-0930.

theinformation.com (Global: low place; English: 6,826^th place)

Efrati, Amir (June 13, 2016). "Apple's Machines Can Learn Too". The Information. Retrieved 2017-06-27.

theverge.com (Global: 114^th place; English: 90^th place)

Ong, Thuy (4 August 2017). "Facebook's translations are now powered completely by AI". www.allthingsdistributed.com. Retrieved 2019-02-15.

towardsdatascience.com (Global: 8,920^th place; English: 6,292^nd place)

Rodriguez, Jesus (July 2, 2018). "The Science Behind OpenAI Five that just Produced One of the Greatest Breakthrough in the History of AI". Towards Data Science. Archived from the original on 2019-12-26. Retrieved 2019-01-15.

ucl.ac.be (Global: 5,389^th place; English: low place)

elen.ucl.ac.be

Malhotra, Pankaj; Vig, Lovekesh; Shroff, Gautam; Agarwal, Puneet (April 2015). "Long Short Term Memory Networks for Anomaly Detection in Time Series" (PDF). European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning — ESANN 2015. Archived from the original (PDF) on 2020-10-30. Retrieved 2018-02-21.

uva.nl (Global: 3,518^th place; English: 2,652^nd place)

pure.uva.nl

Lakretz, Yair; Kruszewski, German; Desbordes, Theo; Hupkes, Dieuwke; Dehaene, Stanislas; Baroni, Marco (2019), "The emergence of number and syntax units in", The emergence of number and syntax units (PDF), Association for Computational Linguistics, pp. 11–20, doi:10.18653/v1/N19-1002, hdl:11245.1/16cb6800-e10d-4166-8e0b-fed61ca6ebb4, S2CID 81978369

web.archive.org (Global: 1^st place; English: 1^st place)

Sak, Hasim; Senior, Andrew; Beaufays, Francoise (2014). "Long Short-Term Memory recurrent neural network architectures for large scale acoustic modeling" (PDF). Archived from the original (PDF) on 2018-04-24.
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Malhotra, Pankaj; Vig, Lovekesh; Shroff, Gautam; Agarwal, Puneet (April 2015). "Long Short Term Memory Networks for Anomaly Detection in Time Series" (PDF). European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning — ESANN 2015. Archived from the original (PDF) on 2020-10-30. Retrieved 2018-02-21.

wikidata.org (Global: 43^rd place; English: 161^st place)

Sepp Hochreiter; Jürgen Schmidhuber (21 August 1995), Long Short Term Memory, Wikidata Q98967430

wired.com (Global: 193^rd place; English: 152^nd place)

Metz, Cade (September 27, 2016). "An Infusion of AI Makes Google Translate More Powerful Than Ever | WIRED". Wired. Retrieved 2017-06-27.

worldcat.org (Global: 5^th place; English: 5^th place)

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