| Hate speech on twitter: A pragmatic approach to collect hateful and offensive expressions and perform hate speech detection H Watanabe, M Bouazizi, T Ohtsuki IEEE access 6, 13825-13835, 2018 | 519 | 2018 |
| A pattern-based approach for sarcasm detection on twitter M Bouazizi, TO Ohtsuki IEEE Access 4, 5477-5488, 2016 | 348 | 2016 |
| A pattern-based approach for multi-class sentiment analysis in Twitter M Bouazizi, T Ohtsuki IEEE Access 5, 20617-20639, 2017 | 203 | 2017 |
| Multi-class sentiment analysis on twitter: Classification performance and challenges M Bouazizi, T Ohtsuki Big Data Mining and Analytics 2 (3), 181-194, 2019 | 122 | 2019 |
| Sentiment analysis: From binary to multi-class classification: A pattern-based approach for multi-class sentiment analysis in Twitter M Bouazizi, T Ohtsuki 2016 IEEE International Conference on Communications (ICC), 1-6, 2016 | 99 | 2016 |
| Sarcasm detection in twitter:" all your products are incredibly amazing!!!"-are they really? M Bouazizi, T Ohtsuki 2015 IEEE global communications conference (GLOBECOM), 1-6, 2015 | 92 | 2015 |
| Opinion mining in twitter how to make use of sarcasm to enhance sentiment analysis M Bouazizi, T Ohtsuki Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 85 | 2015 |
| A deep learning-based low overhead beam selection in mmWave communications H Echigo, Y Cao, M Bouazizi, T Ohtsuki IEEE Transactions on Vehicular Technology 70 (1), 682-691, 2021 | 84 | 2021 |
| Multi-class sentiment analysis in Twitter: What if classification is not the answer M Bouazizi, T Ohtsuki IEEE access 6, 64486-64502, 2018 | 65 | 2018 |
| Wi-fi-CSI-based fall detection by spectrogram analysis with CNN T Nakamura, M Bouazizi, K Yamamoto, T Ohtsuki GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 48 | 2020 |
| Deep learning with RGB and thermal images onboard a drone for monitoring operations S Speth, A Gonçalves, B Rigault, S Suzuki, M Bouazizi, Y Matsuo, ... Journal of Field Robotics 39 (6), 840-868, 2022 | 46 | 2022 |
| Sentiment Analysis in Twitter: From Classification to Quantification of Sentiments within Tweets M Bouazizi, T Ohtsuki IEEE GLOBECOM, 2016 | 42 | 2016 |
| 2-D LIDAR-based approach for activity identification and fall detection M Bouazizi, C Ye, T Ohtsuki IEEE Internet of Things Journal 9 (13), 10872-10890, 2021 | 40 | 2021 |
| Wi-Fi-based fall detection using spectrogram image of channel state information T Nakamura, M Bouazizi, K Yamamoto, T Ohtsuki IEEE Internet of Things Journal 9 (18), 17220-17234, 2022 | 38 | 2022 |
| Data augmentation for sentiment analysis using sentence compression-based SeqGAN with data screening J Luo, M Bouazizi, T Ohtsuki IEEE Access 9, 99922-99931, 2021 | 30 | 2021 |
| Low-resolution infrared array sensor for counting and localizing people indoors: When low end technology meets cutting edge deep learning techniques M Bouazizi, C Ye, T Ohtsuki Information 13 (3), 132, 2022 | 22 | 2022 |
| Detecting dementia from face-related features with automated computational methods C Zheng, M Bouazizi, T Ohtsuki, M Kitazawa, T Horigome, T Kishimoto Bioengineering 10 (7), 862, 2023 | 17 | 2023 |
| A novel hybrid deep learning model for activity detection using wide-angle low-resolution infrared array sensor KA Muthukumar, M Bouazizi, T Ohtsuki IEEE Access 9, 82563-82576, 2021 | 17 | 2021 |
| A 2D-Lidar-equipped unmanned robot-based approach for indoor human activity detection M Bouazizi, A Lorite Mora, T Ohtsuki Sensors 23 (5), 2534, 2023 | 13 | 2023 |
| An evaluation on information composition in dementia detection based on speech C Zheng, M Bouazizi, T Ohtsuki IEEE Access 10, 92294-92306, 2022 | 13 | 2022 |
Ohtsuki TomoakiKeio UniversityE-mail megerősítve itt: ics.keio.ac.jp
