{"id":98,"date":"2021-11-08T16:28:56","date_gmt":"2021-11-08T12:28:56","guid":{"rendered":"https:\/\/annpr2022.com\/?page_id=98"},"modified":"2022-11-19T18:55:21","modified_gmt":"2022-11-19T14:55:21","slug":"program","status":"publish","type":"page","link":"https:\/\/annpr2022.com\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\n
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Download Proceeding (PDF)<\/a><\/center><\/figcaption><\/figure><\/div><\/div>\n\n\n\n
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The 10th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition<\/h2>\n\n\n\n

ANNPR 2022<\/em><\/strong><\/h3>\n\n\n\n

24-26th<\/sup> November 2022<\/em><\/strong><\/h3>\n\n\n\n

Heriot-Watt University Dubai Campus, Dubai Knowledge Park<\/p>\n\n\n\n

Dubai, UAE<\/p>\n<\/div>\n<\/div>\n\n\n\n

ANNPR 22 Program (In-person and *Online)<\/strong><\/h2>\n\n\n\n

Day 1 Thursday 24th November (ANNPR 22 opening and welcome reception)<\/strong><\/p>\n\n\n\n

Time (GST)<\/td><\/td>Room<\/td>Online Link<\/td><\/tr>
3.30-4 pm<\/td>Registration<\/td>5.34<\/td><\/td><\/tr>
4.00-5.30 pm<\/td>Welcome Reception and Networking<\/strong>
Event will be held 5th<\/sup> floor marketplace<\/em><\/strong><\/td>		<\/td><\/td><\/tr>
5.30-6 pm<\/td>ANNPR 2022 Opening Session & Welcome Note<\/strong>
Chair: Steve Gill, Heriot-Watt University, UAE<\/mark><\/em><\/strong>

Prof. Heather McGregor<\/strong>
Provost and Vice Principal, HWU, Dubai<\/strong><\/em><\/em>

Steve Gill<\/strong>
Academic Head, School of Mathematical & Computer Sciences, HWU, Dubai<\/em><\/strong>

Neamat El Gayar, Mirco Ravanelli, Hazem Abbas & Edmondo Trentin <\/em><\/strong>
ANNPR 22 chairs<\/em><\/strong><\/td>		5.33<\/td>Webinar Link<\/a><\/td><\/tr>
6-7 pm<\/td>Chair: Neamat El Gayar, Heriot-Watt University, UAE<\/mark><\/em><\/strong>

*Invited Talk:<\/strong> Advances and Paradigms in Deep Learning
Michael S. Lew<\/em>, Leiden University, Netherlands<\/em>
(online Lecture)<\/em>
Abstract & Speaker Bio:<\/em> https:\/\/annpr2022.com\/speakers\/<\/em><\/a><\/td>		5.33<\/td>Webinar Link<\/a><\/td><\/tr>
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Day2 Friday 25th November<\/strong><\/p>\n\n\n\n

Time (GST)<\/td><\/td>Room<\/td>Online Link<\/td><\/tr>
9.15-9.55 AM<\/td>Registration<\/td>5.34<\/td><\/td><\/tr>
10-12.00 PM<\/td>Day 2 Session 1 (Learning Algorithms and Architectures I)<\/strong>
Chair: Md Azher Uddin, Heriot-Watt University, UAE<\/mark><\/em><\/strong>

Graph Augmentation for Neural Networks Using Matching Graphs
Mathias Fuchs and Kaspar Riesen<\/em>
 
A Novel Representation of Graphical Patterns for Graph Convolution Networks
Marco Benini, Pietro Bongini and Edmondo Trentin<\/em>
 
A Review of Capsule Networks in Medical Image Analysis
Heba Elshimy, Hind Zantout, Michael Lones and Neamat El Gayar<\/em>
 <\/em>
Introducing an Atypical Loss: A Perceptual Metric Learning for Image Pairing
Mohamed Dahmane<\/em>
 <\/em><\/strong><\/td>		5.33<\/td>Webinar Link<\/a><\/td><\/tr>
12.30-2.30 PM<\/td>Friday prayer break & lunch<\/td><\/td><\/td><\/tr>
2.30-4.30 PM<\/td>Day 2 Session 2 (Applications I)<\/strong>
Chair: Jindrich Matousek, University of West Bohemia, Czech Republic<\/mark><\/em><\/strong>

*Utilization of Vision Transformer for Classification and Ranking of Video Distortions
Nouar Aldahoul, Hezerul Abdul Karim and Myles Joshua Toledo Tan<\/em>
 
*Medical Deepfake Detection using 3-Dimensional Neural Learning
Misaj Sharafudeen and Vinod Chandra S. S.<\/em>
 
Assessment of Pharmaceutical Patent Novelty using Siamese Neural Network 
Heba Elshimy, Hind Zantout and Hani Ragab Hassen<\/em>
 <\/em>
A Study on the Autonomous Detection of Impact Craters
Nour Aburaed, Mina Alsaad, Saeed Al Mansoori and Hussain Al-Ahmad<\/em><\/td>		5.33<\/td>Webinar Link<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Day3 Saturday 26th November<\/strong><\/p>\n\n\n\n

Time GST<\/td><\/td>Room<\/td>Online Link<\/td><\/tr>
9.15-9.55<\/td>Registration<\/td><\/td><\/td><\/tr>
10-11.30 AM<\/td>Day 3 Session 1 (Learning Algorithms and Architectures II)<\/strong>
Chair: Radu Radu-Casian Mihailescu, Heriot-Watt University, UAE<\/mark><\/em><\/strong>

*Do Minimal Complexity Least Squares Support Vector Machines Work?
Shigeo Abe<\/em>
 
*Minimizing Cross Intersections in Graph Drawing via Linear Splines 
Rida Ghafoor, Matteo Tiezzi, Gabriele Ciravegna and Marco Gori<\/em>
 
*Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions
Adinath Ghadage, Dewei Yi, Peter Edwards, George Coghill and Wei Pang<\/em><\/td>		5.33<\/td>Webinar Link<\/a><\/td><\/tr>
11.30-12 PM<\/td>Coffee Break<\/td><\/td><\/td><\/tr>
12 PM-1 PM<\/td>Chair: Hind Zantout, Heriot-Watt University, UAE<\/mark><\/em><\/strong>

IAPR Invited Lecture<\/em>:<\/strong>
Evolutionary algorithms and neural networks: a match made in heaven?
Michael Lones<\/em>, Heriot-Watt University, UK<\/em>
 <\/em>
Abstract & Speaker Bio: <\/em>https:\/\/annpr2022.com\/speakers\/<\/em><\/a><\/td>		5.33<\/td>Webinar Link<\/a><\/a><\/td><\/tr>
1-2 PM<\/td>Lunch<\/td><\/td><\/td><\/tr>
2.00-3.30 PM<\/td>Session 2 (Applications II)<\/strong>
Chair Mohamed Dahmane,  Computer Research Institute of Montreal, Canada<\/em><\/strong> <\/mark>

*White Blood Cell Classification of Porcine Blood Smear Images
Jemima Loise U. Novia, Jacqueline Rose T. Alipo-on, Francesca Isabelle F. Escobar, Myles Joshua T. Tan, Hezerul Abdul Karim, and Nouar AlDahoul<\/em>
 
Transformer-Encoder generated context-aware embeddings for spell correction
Noufal Samsudin and Hani Ragab<\/em>
 
Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detection from Raw Speech
Jindrich Matousek and Daniel Tihelka<\/em><\/td>		5.33<\/td>Webinar Link<\/a><\/td><\/tr>
3.30-4 PM<\/td>Coffee break<\/td><\/td><\/td><\/tr>
4-5.00 PM<\/td>Session 3 (Applications III)<\/strong>
Chair: Daniel Tihelka, University of West Bohemia, Czech Republic<\/em><\/strong><\/mark>

*Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification
Abderrazzaq Moufidi, David Rousseau and Pejman<\/em> Rasti
 
*Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi
Hrushikesh Patil, Abhishek Velankar and Raviraj Joshi<\/em><\/td>		5.33<\/td>Webinar Link<\/a><\/td><\/tr>
5-5.30  PM<\/td>Closing<\/td>5.33<\/td>Webinar Link<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

*Online Presentation<\/p>\n","protected":false},"excerpt":{"rendered":"

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