Ghent University Academic Bibliography

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Monitoring welfare of individual broiler chickens using ultra-wideband and inertial measurement unit wearables

Imad Khan (UGent) , Daniel Peralta (UGent) , Jaron Fontaine (UGent) , Patricia Soster de Carvalho (UGent) , Ana Martos Martinez-Caja (UGent) , Gunther Antonissen (UGent) , Frank Tuyttens (UGent) and Eli De Poorter (UGent)

(2025) SENSORS. 25(3).
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Semi-supervised constrained clustering : an in-depth overview, ranked taxonomy and future research directions

German Gonzalez-Almagro, Daniel Peralta (UGent) , Eli De Poorter (UGent) , Jose-Ramon Cano and Salvador Garcia

(2025) ARTIFICIAL INTELLIGENCE REVIEW. 58(5).
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MSDeepAMR : antimicrobial resistance prediction based on deep neural networks and transfer learning

Xaviera A. Lopez-Cortes, Jose M. Manriquez-Troncoso, Ruber Hernandez-Garcia and Daniel Peralta (UGent)

(2024) FRONTIERS IN MICROBIOLOGY. 15.
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Goats on the move : evaluating machine learning models for goat activity analysis using accelerometer data

Arthur Hollevoet, Timo De Waele (UGent) , Daniel Peralta (UGent) , Frank Tuyttens (UGent) , Eli De Poorter (UGent) and Adnan Shahid (UGent)

(2024) ANIMALS. 14(13).
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Polar encoding : a simple baseline approach for classification with missing values

Oliver Urs Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2024) IEEE TRANSACTIONS ON FUZZY SYSTEMS. 32(5). p.3084-3093
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SCIP : a scalable, reproducible, and open-source pipeline for morphological profiling image cytometry and microscopy data

Maxim Lippeveld (UGent) , Daniel Peralta (UGent) , Andrew Filby and Yvan Saeys (UGent)

(2024) CYTOMETRY PART A. 105(11). p.816-828
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Improved deep learning based ECG classification through automated feature selection and weighted loss function

Timo De Waele (UGent) , Daniel Peralta (UGent) , Eli De Poorter (UGent) and Adnan Shahid (UGent)

(2024) 2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN 2024. In IEEE International Joint Conference on Neural Networks (IJCNN) 3. p.1-8
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- C3
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Polar encoding : a simple baseline approach for classification with missing values

Oliver Urs Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2024) BNAIC/BeNeLearn 2024 : Joint International Scientific Conferences on AI and Machine Learning, Abstracts.
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Strategy analysis of badminton players using deep learning from IMU and UWB wearables

Ben Van Herbruggen (UGent) , Jaron Fontaine (UGent) , Jonas Simoen, Lennert De Mey, Daniel Peralta (UGent) , Adnan Shahid (UGent) and Eli De Poorter (UGent)

(2024) INTERNET OF THINGS. 27.
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No imputation without representation

Oliver Urs Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2024) Artificial Intelligence and Machine Learning : 35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8–10, 2023, Revised Selected Papers. In Communications in Computer and Information Science (CCIS) 2187. p.1-21

Academic Bibliography

Monitoring welfare of individual broiler chickens using ultra-wideband and inertial measurement unit wearables

Semi-supervised constrained clustering : an in-depth overview, ranked taxonomy and future research directions

MSDeepAMR : antimicrobial resistance prediction based on deep neural networks and transfer learning

Goats on the move : evaluating machine learning models for goat activity analysis using accelerometer data

Polar encoding : a simple baseline approach for classification with missing values

SCIP : a scalable, reproducible, and open-source pipeline for morphological profiling image cytometry and microscopy data

Improved deep learning based ECG classification through automated feature selection and weighted loss function

Polar encoding : a simple baseline approach for classification with missing values

Strategy analysis of badminton players using deep learning from IMU and UWB wearables

No imputation without representation

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