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4th AIKE 2021: Laguna Hills, CA, USA
- Fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021, Laguna Hills, CA, USA, December 1-3, 2021. IEEE 2021, ISBN 978-1-6654-3736-3
- Kai Konen
, Tobias Hecking:
Increased Robustness of Object Detection on Aerial Image Datasets using Simulated Imagery. 1-8 - Mirjam Minor, Miriam Herold, Julius Rubbe, Stefan Dufner, Georgios Brussas:
Transfer Learning Operators for Process-oriented Cases*. 9-16 - Hicham Hossayni, Imran Khan
Privacy-preserving Sharing of Industrial Maintenance Reports in Industry 4.0. 17-24 - Satvik Garg
On Continuous Integration / Continuous Delivery for Automated Deployment of Machine Learning Models using MLOps. 25-28 - Christoph Hoppe
Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents. 29-32 - Gianluca Cima, Domenico Lembo, Lorenzo Marconi
Controlled Query Evaluation over Ontologies through Policies with Numerical Restrictions. 33-36 - Atefeh Mahdavi, Marco Carvalho
A Survey on Open Set Recognition. 37-44 - Luca Cagliero
Cross-lingual timeline summarization. 45-53 - James Smith
Integrating a General Search Agent into an Imperative Programming Language. 54-61 - Sayeed Salam, Md Shihabul Islam, Fawaz Ahmed, Latifur Khan, Dohyeong Kim, Nicholas Allo, Ohwofiemu Nwariaku:
Exploring the roles of social media data to identify the locations and severity of road traffic accidents. 62-71 - Adaku Uchendu, Daniel Campoy, Christopher Menart, Alexandra Hildenbrandt:
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks. 72-80 - Mahmud Parvez, Robert B. Eshun, Marwan U. Bikdash, A. K. M. Kamrul Islam:
A Machine Learning Predictive Model to Classify Severity of Breast Cancer Based on Mammographic Mass Dataset. 81-87 - Wasif Bokhari, James Smith, Ajay Bansal:
Multi-Class Classification with Asymmetric Error Control for Medical Disease Diagnosis. 88-94 - Javier Pastorino
Data-Blind ML: Building privacy-aware machine learning models without direct data access. 95-98 - Ali Hur, Naeem Janjua
A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead. 99-103 - Qiurui Yue, Xiaoyu Wu, Jiayi Gao:
Audio-Visual Event Localization based on Cross-Modal Interacting Guidance. 104-107 - Jucheng Qiu, Xiaoyu Wu:
Captcha Recognition based on Multi-task Convolutional Neural Network and Active Learning. 108-112 - Kaoru Shimada
Evolutionary Method to Discover Itemsets with Statistically Distinctive Backgrounds. 113-120 - Sumit Purohit, Patrick Mackey, Jeremy D. Zucker, Ankur Bohra, Rahul D. Deshmukh, George Chin:
QLiG: Query Like a Graph For Subgraph Matching. 121-128 - Ming-Chu Ho, Yu-Cing Chen, Chih-Chieh Hung
Deep Ensemble Learning Model for Long-Term Travel Time Prediction on Highways. 129-130 - Md Khurram Monir Rabby, Robert B. Eshun, Saeid Belkasim, A. K. M. Kamrul Islam:
Epileptic Seizure Detection Using EEG Signal Based LSTM Models. 131-132 - Md Khurram Monir Rabby, Robert B. Eshun, Saeid Belkasim, A. K. M. Kamrul Islam:
Time-frequency Based EEG Motor Imagery Signal Classification with Deep Learning Networks. 133-134 - Huber Nieto-Chaupis:
The Quantum Mechanics Propagator as the Machine Learning Performance in Space-Time Displacements. 135-136
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