IDEAS home Printed from https://ideas.repec.org/r/spr/elmark/v31y2021i3d10.1007_s12525-021-00475-2.html
   My bibliography  Save this item

Machine learning and deep learning

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Christian Engel & Philipp Ebel & Jan Marco Leimeister, 2022. "Cognitive automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 339-350, March.
  2. Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
  3. Ruiz-Moreno, Sara & Gallego, Antonio J. & Sanchez, Adolfo J. & Camacho, Eduardo F., 2023. "A cascade neural network methodology for fault detection and diagnosis in solar thermal plants," Renewable Energy, Elsevier, vol. 211(C), pages 76-86.
  4. Bangfeng Wang & Yiwei Li & Mengfan Zhou & Yulong Han & Mingyu Zhang & Zhaolong Gao & Zetai Liu & Peng Chen & Wei Du & Xingcai Zhang & Xiaojun Feng & Bi-Feng Liu, 2023. "Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
  5. Michael Weber & Martin Engert & Norman Schaffer & Jörg Weking & Helmut Krcmar, 2023. "Organizational Capabilities for AI Implementation—Coping with Inscrutability and Data Dependency in AI," Information Systems Frontiers, Springer, vol. 25(4), pages 1549-1569, August.
  6. Lukas-Valentin Herm & Theresa Steinbach & Jonas Wanner & Christian Janiesch, 2022. "A nascent design theory for explainable intelligent systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2185-2205, December.
  7. Jonathan Brock & Katharina Brennig & Bernd Löhr & Christian Bartelheimer & Sebastian Enzberg & Roman Dumitrescu, 2024. "Improving Process Mining Maturity – From Intentions to Actions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(5), pages 585-605, October.
  8. Kühl, Niklas & Schemmer, Max & Goutier, Marc & Satzger, Gerhard, 2022. "Artificial intelligence and machine learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 135656, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  9. Mostafa Bigdeli & Mahsa Akbari, 2024. "Machine-learning-based Classification of Customers’ Behavioural Model in Instagram," Paradigm, , vol. 28(2), pages 223-240, December.
  10. Vladimir Franki & Darin Majnarić & Alfredo Višković, 2023. "A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector," Energies, MDPI, vol. 16(3), pages 1-35, January.
  11. Cui, Xiling & Zhu, Zhongshan & Liu, Libo & Zhou, Qiang & Liu, Qiang, 2024. "Anomaly detection in consumer review analytics for idea generation in product innovation: Comparing machine learning and deep learning techniques," Technovation, Elsevier, vol. 134(C).
  12. Eduard Hartwich & Alexander Rieger & Johannes Sedlmeir & Dominik Jurek & Gilbert Fridgen, 2023. "Machine economies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-13, December.
  13. Humberto de Jesús Ochoa Domínguez & Vianey Guadalupe Cruz Sánchez & Osslan Osiris Vergara Villegas, 2024. "Demystifying Deep Learning Building Blocks," Mathematics, MDPI, vol. 12(2), pages 1-26, January.
  14. Rainer Alt, 2021. "Electronic Markets on robotics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 465-471, September.
  15. Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch, 2022. "The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2079-2102, December.
  16. Umut Turksen & Vladlena Benson & Bogdan Adamyk, 2024. "Legal implications of automated suspicious transaction monitoring: enhancing integrity of AI," Journal of Banking Regulation, Palgrave Macmillan, vol. 25(4), pages 359-377, December.
  17. Najla Alharbi & Bashayer Alkalifah & Ghaida Alqarawi & Murad A. Rassam, 2024. "Countering Social Media Cybercrime Using Deep Learning: Instagram Fake Accounts Detection," Future Internet, MDPI, vol. 16(10), pages 1-22, October.
  18. Sheeraz Arif Arif & Rashid Hussain & Nadia Mustaqim Ansari & Waseem Rauf, 2023. "A novel hybrid feature method for weeds identification in the agriculture sector," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 69(3), pages 132-142.
  19. Praneel Chand & Mansour Assaf, 2024. "An Empirical Study on Lightweight CNN Models for Efficient Classification of Used Electronic Parts," Sustainability, MDPI, vol. 16(17), pages 1-18, September.
  20. Yuanyuan Yang & Md Muhie Menul Haque & Dongling Bai & Wei Tang, 2021. "Fault Diagnosis of Electric Motors Using Deep Learning Algorithms and Its Application: A Review," Energies, MDPI, vol. 14(21), pages 1-26, October.
  21. Abdulwahhab, Ali H. & Abdulaal, Alaa Hussein & Thary Al-Ghrairi, Assad H. & Mohammed, Ali Abdulwahhab & Valizadeh, Morteza, 2024. "Detection of epileptic seizure using EEG signals analysis based on deep learning techniques," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
  22. Abhirup Khanna & Bhawna Yadav Lamba & Sapna Jain & Vadim Bolshev & Dmitry Budnikov & Vladimir Panchenko & Alexandr Smirnov, 2023. "Biodiesel Production from Jatropha: A Computational Approach by Means of Artificial Intelligence and Genetic Algorithm," Sustainability, MDPI, vol. 15(12), pages 1-33, June.
  23. Rashid Amin & Muzammal Majeed & Farrukh Shoukat Ali & Adeel Ahmed & Mudassar Hussain, 2022. "Reliability Awareness Multiple Path Installation in Software Defined Networking using Machine Learning Algorithm," International Journal of Innovations in Science & Technology, 50sea, vol. 4(5), pages 158-172, July.
  24. Vijendra Kumar & Hazi Md. Azamathulla & Kul Vaibhav Sharma & Darshan J. Mehta & Kiran Tota Maharaj, 2023. "The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management," Sustainability, MDPI, vol. 15(13), pages 1-33, July.
  25. Rui Ma & Jia Wang & Wei Zhao & Hongjie Guo & Dongnan Dai & Yuliang Yun & Li Li & Fengqi Hao & Jinqiang Bai & Dexin Ma, 2022. "Identification of Maize Seed Varieties Using MobileNetV2 with Improved Attention Mechanism CBAM," Agriculture, MDPI, vol. 13(1), pages 1-16, December.
  26. Thomas Grisold & Christian Janiesch & Maximilian Röglinger & Moe Thandar Wynn, 2022. "Call for Papers, Issue 5/2024," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 841-843, December.
  27. Zaki Masood & Rahma Gantassi & Ardiansyah & Yonghoon Choi, 2022. "A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting," Energies, MDPI, vol. 15(7), pages 1-11, April.
  28. Kraus, Mathias & Tschernutter, Daniel & Weinzierl, Sven & Zschech, Patrick, 2024. "Interpretable generalized additive neural networks," European Journal of Operational Research, Elsevier, vol. 317(2), pages 303-316.
  29. Fadhila Lachekhab & Messouada Benzaoui & Sid Ahmed Tadjer & Abdelkrim Bensmaine & Hichem Hamma, 2024. "LSTM-Autoencoder Deep Learning Model for Anomaly Detection in Electric Motor," Energies, MDPI, vol. 17(10), pages 1-18, May.
  30. Joshua Holstein & Max Schemmer & Johannes Jakubik & Michael Vössing & Gerhard Satzger, 2023. "Sanitizing data for analysis: Designing systems for data understanding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-18, December.
  31. Patrick Zschech, 2023. "Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines," Information Systems and e-Business Management, Springer, vol. 21(1), pages 193-227, March.
  32. Xu, Xinlei & Zhang, Junhui & Huang, Weidi & Yu, Bin & Lyu, Fei & Zhang, Xiaolong & Xu, Bing, 2024. "The loose slipper fault diagnosis of variable-displacement pumps under time-varying operating conditions," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
  33. Christoph Rosenkranz & Viktoria Stray & Manuel Wiesche, 2023. "Call for Papers, Issue 1/2025," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 483-486, August.
  34. Rafael Magdalena-Benedicto & Sonia Pérez-Díaz & Adrià Costa-Roig, 2023. "Challenges and Opportunities in Machine Learning for Geometry," Mathematics, MDPI, vol. 11(11), pages 1-24, June.
  35. Alexander Mayr & Philip Stahmann & Maximilian Nebel & Christian Janiesch, 2024. "Still doing it yourself? Investigating determinants for the adoption of intelligent process automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-22, December.
  36. Roberto De Fazio & Vincenzo Mariano Mastronardi & Matteo Petruzzi & Massimo De Vittorio & Paolo Visconti, 2022. "Human–Machine Interaction through Advanced Haptic Sensors: A Piezoelectric Sensory Glove with Edge Machine Learning for Gesture and Object Recognition," Future Internet, MDPI, vol. 15(1), pages 1-42, December.
  37. Dylan Norbert Gono & Herlina Napitupulu & Firdaniza, 2023. "Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method," Mathematics, MDPI, vol. 11(18), pages 1-15, September.
  38. Kalliopi Kanaki & Michail Kalogiannakis & Emmanouil Poulakis & Panagiotis Politis, 2022. "Investigating the Association between Algorithmic Thinking and Performance in Environmental Study," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
  39. Md Shajalal & Alexander Boden & Gunnar Stevens, 2022. "Explainable product backorder prediction exploiting CNN: Introducing explainable models in businesses," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2107-2122, December.
  40. Alabi, Tobi Michael & Aghimien, Emmanuel I. & Agbajor, Favour D. & Yang, Zaiyue & Lu, Lin & Adeoye, Adebusola R. & Gopaluni, Bhushan, 2022. "A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems," Renewable Energy, Elsevier, vol. 194(C), pages 822-849.
  41. Rainer Alt, 2021. "Electronic Markets on digital platforms and AI," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 233-241, June.
  42. Shanxin Zhang & Hao Feng & Shaoyu Han & Zhengkai Shi & Haoran Xu & Yang Liu & Haikuan Feng & Chengquan Zhou & Jibo Yue, 2022. "Monitoring of Soybean Maturity Using UAV Remote Sensing and Deep Learning," Agriculture, MDPI, vol. 13(1), pages 1-21, December.
  43. Niklas Kühl & Max Schemmer & Marc Goutier & Gerhard Satzger, 2022. "Artificial intelligence and machine learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2235-2244, December.
  44. Bojan Martinović & Milos Bijanić & Dusan Danilović & Andrija Petrović & Boris Delibasić, 2023. "Unveiling Deep Learning Insights: A Specialized Analysis of Sucker Rod Pump Dynamographs, Emphasizing Visualizations and Human Insight," Mathematics, MDPI, vol. 11(23), pages 1-29, November.
  45. Ning Sun & Sai Tang & Ju Zhang & Jiaxin Wu & Hongwei Wang, 2022. "Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
  46. Zhang, Kai & Bai, Dongxin & Li, Yong & Song, Ke & Zheng, Bailin & Yang, Fuqian, 2024. "Robust state-of-charge estimator for lithium-ion batteries enabled by a physics-driven dual-stage attention mechanism," Applied Energy, Elsevier, vol. 359(C).
  47. Wendou Yan & Xiuying Wang & Shoubiao Tan, 2022. "YOLO-DFAN: Effective High-Altitude Safety Belt Detection Network," Future Internet, MDPI, vol. 14(12), pages 1-12, November.
  48. Nunes Maciel, Joylan & Javier Gimenez Ledesma, Jorge & Hideo Ando Junior, Oswaldo, 2024. "Hybrid prediction method of solar irradiance applied to short-term photovoltaic energy generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  49. Peter Hofmann & Nils Urbach & Julia Lanzl & Kevin C. Desouza, 2024. "AI-enabled information systems: Teaming up with intelligent agents in networked business," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-8, December.
  50. Julius Peter Landwehr & Niklas Kühl & Jannis Walk & Mario Gnädig, 2022. "Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 707-728, December.
  51. Cheng Yang & Fuhao Sun & Yujie Zou & Zhipeng Lv & Liang Xue & Chao Jiang & Shuangyu Liu & Bochao Zhao & Haoyang Cui, 2024. "A Survey of Photovoltaic Panel Overlay and Fault Detection Methods," Energies, MDPI, vol. 17(4), pages 1-37, February.
  52. Muhammad Waqas Farooq & Faiza Nawaz & Dr. Raja Irfan Sabir, 2024. "To Gain Sustainable Competitive Advantages (SCA) Using Artificial Intelligence (AI) Over Competitors," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 1026-1033.
  53. Sandra Zilker & Sven Weinzierl & Mathias Kraus & Patrick Zschech & Martin Matzner, 2024. "A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis," Health Care Management Science, Springer, vol. 27(2), pages 136-167, June.
  54. Burton, Joe, 2023. "Algorithmic extremism? The securitization of artificial intelligence (AI) and its impact on radicalism, polarization and political violence," Technology in Society, Elsevier, vol. 75(C).
  55. Junwei Zhou & Yanguo Fan & Qingchun Guan & Guangyue Feng, 2024. "Research on Drought Monitoring Based on Deep Learning: A Case Study of the Huang-Huai-Hai Region in China," Land, MDPI, vol. 13(5), pages 1-20, May.
  56. Jinming Gao & Xianlong Su & Changsu Kim & Kerang Cao & Hoekyung Jung, 2024. "A Parallel Prediction Model for Photovoltaic Power Using Multi-Level Attention and Similar Day Clustering," Energies, MDPI, vol. 17(16), pages 1-17, August.
  57. Marc Pinski & Thomas Hofmann & Alexander Benlian, 2024. "AI Literacy for the top management: An upper echelons perspective on corporate AI orientation and implementation ability," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-23, December.
  58. Hong, Jichao & Li, Kerui & Liang, Fengwei & Yang, Haixu & Zhang, Chi & Yang, Qianqian & Wang, Jiegang, 2024. "A novel state of health prediction method for battery system in real-world vehicles based on gated recurrent unit neural networks," Energy, Elsevier, vol. 289(C).
  59. Shuai Sang & Lu Li, 2024. "A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism," Mathematics, MDPI, vol. 12(7), pages 1-20, March.
  60. Iva Glišic, 2024. "A comparison of using MIDAS and LSTM models for GDP nowcasting," Working Papers Bulletin 22, National Bank of Serbia.
  61. Zabir Mohammad & Muhammad Mohsin Kabir & Muhammad Mostafa Monowar & Md Abdul Hamid & Muhammad Firoz Mridha, 2022. "Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data," Mathematics, MDPI, vol. 10(24), pages 1-20, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.