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Hima Vadapalli

Hima B. Vadapalli

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2020 – today

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2025
[c27]
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Munza Kamukwamba, Dustin van der Haar, Hima Vadapalli:
Enhancing Agricultural Disease Management: An Application of Deep Learning for Fusarium Head Blight Detection in Wheat Crops. AIAI (2) 2025: 156-170
[c26]
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Boitumelo Matlala, Dustin van der Haar, Hima Vadapalli:
Automated Gross Tumor Volume Segmentation in Meningioma Using Squeeze and Excitation Residual U-Net for Enhanced Radiotherapy Planning. AIiH (1) 2025: 57-67
[c25]
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Gage Nott, Hima Vadapalli, Dustin van der Haar:
Knowledge Distillation for Computationally Tractable Brain Tumour Segmentation in Sub-saharan Africa. AIiH (1) 2025: 82-95
[c24]
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Asaju Christine Bukola, Hima Vadapalli:
Affective State and Pain Estimation Through Facial Emotion Analysis. AIiH (1) 2025: 213-226
[c23]
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Gage Nott, Hima Vadapalli, Dustin van der Haar:
Evaluating Debate Persuasiveness Through Audio Analysis and Regression Techniques. HCI (58) 2025: 93-107
[c22]
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Christine Asaju, Hima Vadapalli:
Automated Response Generation Using Language Models: An Approach to Enhancing User Interaction. HCI (47) 2025: 159-175
[c21]
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John Albert Buitenhuis, Hima Vadapalli, Dustin van der Haar:
One Channel is All You Need: Optimizing Hyperspectral Data for Crop Disease Detection. ICAISC (1) 2025: 36-47
[c20]
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Derrick Adrian Chan, Hima Vadapalli, Dustin van der Haar:
Automated Fusarium Head Blight Detection Using a ResNet18 Model on High-Resolution Hyperspectral UAV Images. ICAISC (1) 2025: 48-59
[c19]
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Biniam Temesgen Erdilo, Hima Vadapalli, Dustin van der Haar:
Enhancing Crop Disease Detection with Deep Learning and Hyperspectral Imaging: A Focus on Fusarium Head Blight. ICAISC (1) 2025: 89-101
[c18]
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Lily Akpanke, Dustin van der Haar, Hima Vadapalli:
Channel Attention for Fusarium Head Blight Detection in Hyperspectral Images. ICAISC (2) 2025: 281-294
[c17]
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Bukasa Muyombo, Hima Vadapalli:
Enhancing Urban Traffic Flow: An AI-Driven Traffic Light Management System. KES 2025: 3848-3859
2024
[c16]
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Mulaedza Mathoho, Dustin van der Haar, Hima Vadapalli:
Innovations in Mosquito Identification: Integrating Deep Learning with Citizen Science. AIiH (2) 2024: 189-202
[c15]
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Cleveland J. Crossling, Hima Vadapalli, Dustin van der Haar:
Automated Pest Control: Computer Vision for Wildlife Surveillance. CIIS 2024: 38-43
[c14]
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Francois Volschenk, Hima Vadapalli, Dustin van der Haar:
Exercise Recognition and Repetition Counting for Automatic Workout Documentation Using Computer Vision. HCI (28) 2024: 298-309
[c13]
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Christine Asaju, Hima Vadapalli:
Affect Analysis: A Literature Survey on Student-Specific and General Users' Affect Analysis. SAI (4) 2024: 299-327
[c12]
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Oseluole Enabor, Hima Vadapalli:
Action Unit Recognition: Leveraging Weak Supervision with Large Loss Rejection. SAI (3) 2024: 349-363
2022
[j2]
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Anil Audumbar Pise, Hima Vadapalli, Ian Sanders:
Facial emotion recognition using temporal relational network: an application to E-learning. Multim. Tools Appl. 81(19): 26633-26653 (2022)
[c11]
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Christine Asaju, Hima Vadapalli:
Adaptive Reasoning: An Affect Related Feedback Approach for Enhanced E-Learning. SACAIR 2022: 215-230
2021
[j1]
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Anil Audumbar Pise, Hima Vadapalli, Ian Sanders:
Relational Reasoning Using Neural Networks: A Survey. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 29(Suppl-2): 237-258 (2021)
[c10]
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Christine Asaju, Hima Vadapalli:
A Temporal Approach to Facial Emotion Expression Recognition. SACAIR 2021: 274-286
2020
[i1]
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George Obaido, Abejide Ade-Ibijola, Hima Vadapalli:
Synthesis of SQL Queries from South African Local Language Narrations. CoRR abs/2011.07376 (2020)

2010 – 2019

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2019
[c9]
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George Obaido, Abejide Ade-Ibijola, Hima Vadapalli:
Generating Narrations of Nested SQL Queries Using Context-free Grammars. ICTAS 2019: 1-6
[c8]
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Dennis Murekachiro, Thabang Mokoteli, Hima Vadapalli:
Predicting Emerging and Frontier Stock Markets Using Deep Neural Networks. IntelliSys (1) 2019: 899-918
[c7]
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  - conf/saicsit/DowntonV19
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Wade Downton, Hima Vadapalli:
Age and Gender Estimation using Optimised Deep Networks. SAICSIT 2019: 14:1-14:9
[c6]
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  - conf/socpar/ZakkaV19
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Benisemeni Esther Zakka, Hima Vadapalli:
Detecting Learning Affect in E-Learning Platform Using Facial Emotion Expression. SoCPaR 2019: 217-225
2017
[c5]
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Hanno Brink, Hima B. Vadapalli:
Deformable part models with CNN features for facial landmark detection under occlusion. SAICSIT 2017: 5:1-5:9
[c4]
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Dumisani Kunene, Hima Vadapalli:
Better feature acquisition through the use of infrared imaging for human detection systems. SAICSIT 2017: 21:1-21:10
2016
[c3]
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Dumisani Kunene, Hima Vadapalli, Jaco Cronje:
Indoor Sign Recognition for the Blind. SAICSIT 2016: 19:1-19:9
2014
[c2]
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Deniz Bingol, Turgay Çelik, Christian W. Omlin, Hima B. Vadapalli:
Facial action unit intensity estimation using rotation invariant features and regression analysis. ICIP 2014: 1381-1385

2000 – 2009

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2009
[c1]
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Hima Vadapalli, Henry O. Nyongesa, Christian W. Omlin:
Facial Action Unit Recognition Using Recurrent Neural Networks. IPCV 2009: 357-361

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