{"id":4316,"date":"2023-09-08T05:50:09","date_gmt":"2023-09-08T05:50:09","guid":{"rendered":"https:\/\/conferences.sigappfr.org\/medes2024\/?page_id=4316"},"modified":"2025-10-27T10:24:08","modified_gmt":"2025-10-27T10:24:08","slug":"final-program","status":"publish","type":"page","link":"https:\/\/conferences.sigappfr.org\/inista2025\/final-program\/","title":{"rendered":"Final Program"},"content":{"rendered":"

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The conference is adopting hybrid mode so that you can access all sessions through the ZOOM platform.<\/strong><\/p>\n

Link:
\n<\/strong>https:\/\/us05web.zoom.us\/j\/84666473186?pwd=Wg7AMJn7vON6ZjUgnPI5bn7OeZ57ET.1<\/a><\/p>\n

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INISTA’2025 Program at a Glance<\/th>\n<\/tr>\n
<\/th>\nWednesday October 29, 2025<\/th>\nThursday October 30, 2025<\/th>\nFriday October 31, 2025<\/th>\n<\/tr>\n<\/thead>\n
9:00-9:30<\/td>\nOpening Session Room:<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9:30-10:30<\/td>\nKeynote talk 1: Ernesto Damiani
\nGeospatial Predictive Services: From Data Science to AI<\/em>
\nRoom: Auditorium, Building K<\/a><\/td>\n		Keynote talk 2: Ismail Hakki Toroslu
\nBridging AI and Personalization: from social media insights to targeted marketing<\/em>
\nRoom: Auditorium, Building K<\/a><\/td>\n		Keynote talk 3: Jahna Otterbacher
\nTrust in and Trustworthiness of AI: Building Socio-Technical Infrastructure for Assessing AI Alignment on the Large Scale<\/em>
\nRoom: Auditorium, Building K<\/a><\/td>\n<\/tr>\n
10:30-11:00<\/td>\nCoffee Break<\/td>\nCoffee Break<\/td>\nCoffee Break<\/td>\n<\/tr>\n
11:00-12:30<\/td>\nSession: THEORETICAL ISSUES
\nRoom: Auditorium, Building K<\/a><\/td>\n		Session: DETECTION
\nRoom: Auditoruium, Library<\/a><\/td>\n		Session: PREDICTION
\nRoom: Auditorium, Building K<\/a><\/td>\n		Session: CONTENT BASED IMAGE RETRIEVAL
\nRoom: Conference Room, Library<\/a><\/td>\n		Session; LLMs AND LANGUAGE PROCESSING
\nRoom: Auditoruium, Building K<\/a><\/td>\n		Session: MACHINE LEARNING
\nRoom: Auditoruium, Library<\/a><\/td>\n<\/tr>\n
12:30-13:30<\/td>\nLunch<\/td>\nLunch<\/td>\nClosing session<\/td>\n<\/tr>\n
13:30-15:00<\/td>\nSession: SOFTWARE AND ARCHITECTURE
\nRoom: Auditorium, Building K<\/a><\/td>\n		Session: RECOMMENDATIONS
\nRoom: Auditoruium, Library<\/a><\/td>\n		Session: CLASSIFICATION
\nRoom: Auditorium, Building K<\/a><\/td>\n		Session: AI IN HEALTHCARE AND MEDICAL INFORMATICS SPECIAL TRACK 1
\nRoom: Auditoruium, Library<\/a><\/td>\n		Session: IMAGE AND VISION TECHNIQUES
\nRoom: Conference Room, Library<\/a><\/td>\n		Excursion in desert
\n(Shuttle provided)<\/td>\n<\/tr>\n
15:00-15:30<\/td>\nCoffee Break<\/td>\nCoffee Break<\/td>\n

<\/tr>\n

15:30-17:00<\/td>\nSession: HEALTH
\nRoom: Auditorium, Building K<\/a><\/td>\n		Session: APPLICATIONS 1
\nRoom: Auditorium, Library<\/a><\/td>\n		Session: APPLICATIONS 2
\nRoom: Auditorium, Building K<\/a><\/td>\n		Session: AI IN HEALTHCARE AND MEDICAL INFORMATICS SPECIAL TRACK 2
\nRoom: Auditoruium, Library<\/a><\/td>\n		Session: DEEP LEARNING
\nRoom: Conference Room, Library<\/a><\/td>\n

<\/tr>\n

17:00-22:00<\/td>\nWelcome Reception (Shuttle provided)<\/td>\nConference Banquet (Shuttle provided)<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css_animation=”none”]<\/p>\n\n\n\n\n\n\n\n\n\n\n
Sessions<\/th>\nOnline\/On-site<\/th>\n<\/tr>\n
MACHINE LEARNING<\/td>\n<\/tr>\n<\/thead>\n
919<\/td>\nMadalina Spiridon and Lenu\u021ba Alboaie<\/td>\nComparative Studies on Hybrid Quantum Machine Learning<\/td>\nOnline<\/td>\n<\/tr>\n
1817<\/td>\nHakan Alp Eren, Eyup Cinar and Emre \u00c7imen<\/td>\nMachine Learning-Based Prediction of Optimal Growth Temperature in Archaeal Species Using RNA Data<\/td>\nOnline<\/td>\n<\/tr>\n
3414<\/td>\nHouda Khelifi, Sofiane Khalfallah and Hela Ltifi<\/td>\nShort-Term Residential Load Forecasting with Machine Learning Using Smart Meter and Weather Data<\/td>\nOnline<\/td>\n<\/tr>\n
4473<\/td>\nYunus Emre G\u00fcndo\u011fmu\u015f, Sel\u00e7uk A\u00e7\u0131kal\u0131n and Arda Ra\u015ftak<\/td>\nCustomer Lifetime Value Prediction in E-Commerce: Machine Learning Approaches and Business Implications<\/td>\nOn-site<\/td>\n<\/tr>\n
7979<\/td>\nSa\u00fal Llosa-Ponce, Irvin Dongo and Ana Aguilera<\/td>\nMachine Learning-Based Data Transfer Time Prediction in Distributed IoT Architectures<\/td>\nNA<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
LLMs AND LANGUAGE PROCESSING<\/td>\n<\/tr>\n
998<\/td>\nOumoulmouminine Cheikh Ahmed Baba, Hassen Mahdhaoui and Mounir Zrigui<\/td>\nEnhancing Arabic Named Entity Recognition with AraBERT Fine-Tuning on a Unified Corpus<\/td>\nOn-site<\/td>\n<\/tr>\n
3933<\/td>\nRabia Eda Y\u0131lmaz, Mehmet An\u0131l Taysi, Ay\u015fe I\u0307rem \u00d6zmen and G\u00f6khan I\u0307nce<\/td>\nEfficient Semantic Retrieval via Multilingual Embeddings and Reranking<\/td>\nOnline<\/td>\n<\/tr>\n
6169<\/td>\nMustafa Keskin, Enis Teper and Sinan Ke\u00e7eci<\/td>\nMatching What Matters: Using LLMs to Improve Product Compatibility Recommendations<\/td>\nOn-site<\/td>\n<\/tr>\n
6752<\/td>\nDaniela Petrea, Irimia Cosmin-Iulian and Adrian Iftene<\/td>\nVisualizing Data Intelligently: Integrating Natural Language for Deeper Insights<\/td>\nOn-site<\/td>\n<\/tr>\n
7499<\/td>\nAndreea-Isabela Haiura, Cosmin-Iulian Irimia and Adrian Iftene<\/td>\nAdvancing Strategic Game AI with YOLO and Large Language Models<\/td>\nOn-site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n
CLASSIFICATION<\/td>\n<\/tr>\n
3664<\/td>\nDimitrios Koutsomitropoulos and Savvas Skoulidis<\/td>\nSmall Language Models are Diligent Learners: Evaluation of Embedding- and Transformer-based Language Models for Text Classification and Recommendation<\/td>\nOnline<\/td>\n<\/tr>\n
4956<\/td>\nAhmet Tugrul Bayrak, Fatma Nur Korkmaz, Ismail Utku Sayan, Mustafa Sertac Turkel and Bekir Berker Turker<\/td>\nEfficient Text Classification with Hybrid Retrieval and Generative Labeling (Short Paper)<\/td>\nOnline<\/td>\n<\/tr>\n
9096<\/td>\nKhaled Abdalgader<\/td>\nTime-Aware Short Text Classification: Capturing Temporal Dynamics<\/td>\nOn-site<\/td>\n<\/tr>\n
9645<\/td>\nMd Rabiul Islam and Doina Logof\u0103tu<\/td>\nClassification of Time-Domain Signals Using Short-Time Fourier Transform and 2D Convolutional Neural Networks (Short Paper)<\/td>\nOn-site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
HEALTH<\/td>\n<\/tr>\n
710<\/td>\nGeorgi Rusev and Petia Koprinkova-Hristova<\/td>\nInnovative Brain Signal Feature Extraction for Personalized and Adaptive Human Prosthetics<\/td>\nOn-site<\/td>\n<\/tr>\n
2323<\/td>\nMaria Ecaterina Olariu and Adrian Iftene<\/td>\nAnalysis of Current Applications of Artificial Intelligence in Cardiology Diagnosis with Focus on Explainable AI, Holter Monitoring and Blood Biomarkers<\/td>\nOn-site<\/td>\n<\/tr>\n
4170<\/td>\nGeorge-Gabriel Constantinescu and Adrian Iftene<\/td>\nExploring the Integration of Extended Reality and AI in the Diagnosis and Support of Mental Health Disorders<\/td>\nOn-site<\/td>\n<\/tr>\n
6370<\/td>\nAlina Duca, Elena-Ecaterina Opai\u021b, Maria-Ecaterina Olariu and Adrian Iftene<\/td>\nVirtual Reality Learning Environment: Gamified Medical Flashcards<\/td>\nOn-site<\/td>\n<\/tr>\n
8457<\/td>\nLeen I. A. Shaqalaih, Omar Sameh Belal, Fatma Melisa K\u00fc\u00e7\u00fck, Murat Can Ganiz and Yi\u011fit Tuncer<\/td>\nMedical Graph-RAG: Bilingual Graph-Based Reasoning for Cardiological Intelligence<\/td>\nOnline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
PREDICTION<\/td>\n<\/tr>\n
1013<\/td>\nIoan Sima<\/td>\nGeometric Lattices in Abstract Modeling: From Protein Structure Prediction to Universal Computational Representations<\/td>\nNA<\/td>\n<\/tr>\n
3786<\/td>\nFatemeh Mohammadi Aghjehmashhad and Osman Abul<\/td>\nPredicting Student Academic Performance Using Apache Spark MLlib<\/td>\nOn-site<\/td>\n<\/tr>\n
4253<\/td>\nDilge Karaka\u015f, Nilay I\u015feri, Sinan Ke\u00e7eci and Emre Ren\u00e7bero\u011flu<\/td>\nDelivery Time Prediction in E-commerce: A Quantile Regression Approach (Short Paper)<\/td>\nOn-site<\/td>\n<\/tr>\n
9205<\/td>\nVishwesh Laxmikant Akre, Thaeer Kobbaey and M. A. H Furquad<\/td>\nLeveraging Explainable Artificial Intelligence (XAI) to Enhance Academic Integrity: A Predictive Risk Mitigation Framework<\/td>\nOn-site<\/td>\n<\/tr>\n
9912<\/td>\nAli Alnoman<\/td>\nExplainable AI for Smart Education: A Case Study on Student Performance Prediction<\/td>\nOn-site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
THEORETICAL ISSUES<\/td>\n<\/tr>\n
563<\/td>\nFlorian Stach, Valentin Stolz, Yichi Zhang and Doina Logof\u0103tu<\/td>\nDynamic Stacking in Uncertain Environments: Optimization Heuristics<\/td>\nOn-site<\/td>\n<\/tr>\n
3676<\/td>\nElias Dritsas, Maria Trigka and Phivos Mylonas<\/td>\nPrivacy-Preserving Record Linkage over Big Data Platforms<\/td>\nOnline<\/td>\n<\/tr>\n
5587<\/td>\nSimona Fioretto, Elio Masciari and Enea Vincenzo Napolitano<\/td>\nAccelerating Sparse Matrix Analytics in Python Through Database-Inspired Techniques<\/td>\nOn-site<\/td>\n<\/tr>\n
7177<\/td>\nElias Dritsas, Maria Trigka and Phivos Mylonas<\/td>\nEfficient Query Filtering in Big Data Using Entropy-Based Learned Indexing<\/td>\nOnline<\/td>\n<\/tr>\n
7487<\/td>\nAndrei Tablan and Florin Olariu<\/td>\nEvaluating the cost-performance trade-offs of cloud repatriation (Short Paper)<\/td>\nOn-site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
SOFTWARE AND ARCHITECTURE<\/td>\n<\/tr>\n
11<\/td>\nAna-Madalina Carausu, Irimia Cosmin-Iulian and Adrian Iftene<\/td>\nAnalysis of Inter-Cloud Migration Strategies to European Providers (Short Paper)<\/td>\nNA<\/td>\n<\/tr>\n
235<\/td>\nYoussou Faye, Abdallah Makhoul, Serigne Mbacke Diene and Mohammed Ouzzif<\/td>\nA Lighweight Distributed Security Protocol with Adaptative Key Management for Programmable Matter Based on Modular Robots (Short Paper)<\/td>\nOnline<\/td>\n<\/tr>\n
1582<\/td>\nCorina Dimitriu, Diana Carcea, R\u0103zvan Carcea, Antonio Ia\u021bu and Adrian Iftene<\/td>\nIntegration of Artificial Intelligence into Software Engineering Practices: A Case Study of an Artifact Restoration Application<\/td>\nOnline<\/td>\n<\/tr>\n
2239<\/td>\nG\u00f6khan Yurtalan and Serdar Arslan<\/td>\nMulti-Agent OSINT Architecture with Graph RAG Integration and Hierarchical Bloom-Filter Deduplication<\/td>\nOn-site<\/td>\n<\/tr>\n
9920<\/td>\nFlorin Olariu and Rares Opariuc<\/td>\nModernizing Legacy Software: A Case Study on Microservices Migration Using AWS (Short Paper)<\/td>\nOn-site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
DEEP LEARNING<\/td>\n<\/tr>\n
904<\/td>\nAnas Msimir, Omar Bahutair, Ahmed Muriebesh, Hasan Wahbi, Saeed Almazrouei, Saif Alblooshi and Ali Alnoman<\/td>\nDeep Learning-driven Traffic Management System for Smart Transportation<\/td>\nOn-site<\/td>\n<\/tr>\n
1485<\/td>\nAhmed Abuhajjaj, Mohammed Omari, Khouloud Salameh and Ali Alnoman<\/td>\nEnhancing Feature Extraction in Content-Based Image Retrieval (CBIR) using Deep Learning Techniques<\/td>\nOn-site<\/td>\n<\/tr>\n
7719<\/td>\nMd Roman Bhuiyan, Hridoy Hassan, Junaidi Abdullah, Md Baharul Islam, Farshad Badie, Giulio Napolitano and Duraisamy Balaganesh<\/td>\nVideo analytics using deep learning for massive crowd instant segmentation and detection<\/td>\nOnline<\/td>\n<\/tr>\n
8468<\/td>\nOmran Berjawi, Rida Khatoun and Giuseppe Fenza<\/td>\nEvaluating the Generalization of Machine Learning and Deep Learning Models for Intrusion Detection Systems<\/td>\nNA<\/td>\n<\/tr>\n
8632<\/td>\nNikolaos Avrantinis, Andreas Andriopoulos and Dimitrios Koutsomitropoulos<\/td>\nHow Deep Is Your Chit-Chat? A Teacher-Oriented Evaluation of Deep Learning Models for Open-Domain Conversation<\/td>\nOnline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n
DETECTION<\/td>\n<\/tr>\n
1341<\/td>\n\u00c7a\u011fr\u0131 Karaka\u015f, I\u0307lhan Ayd\u0131n, Emre Guclu and Erhan Ak\u0131n<\/td>\nPost-Disaster Change Detection with Fusion-Based CNN Models<\/td>\nOnline<\/td>\n<\/tr>\n
1674<\/td>\nHuiyao Dong and Igor Kotenko<\/td>\nTowards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection<\/td>\nOn-site<\/td>\n<\/tr>\n
2245<\/td>\nMarwa Zitouni, Yosra Barouni and Hela Ltifi<\/td>\nIntrusion detection system based on federated learning for distributed 5G\/6G network architectures<\/td>\nOnline<\/td>\n<\/tr>\n
6611<\/td>\nAysegul Ucar, Ali Teke\u015f and Mehmet Yorulmaz<\/td>\nTransformer-Based Object Detection in Unconstructed Environments: A ROS-Gazebo Simulation Framework<\/td>\nOnline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n
RECOMMENDATIONS<\/td>\n<\/tr>\n
683<\/td>\nSheikh Sharfuddin Mim, Doina Logofatu, Gabriel Guerrero-Contreras and Inmaculada Medina-Bulo<\/td>\nPrivacy-Preserving Federated Learning for Finance: Challenges, Benchmarks, and Strategic Recommendations<\/td>\nOnline<\/td>\n<\/tr>\n
5526<\/td>\nEnis Teper, Mustafa Keskin and Sinan Ke\u00e7eci<\/td>\nBuy The Look: Enhancing Fashion Discovery with Visual Recommendations<\/td>\nOn-site<\/td>\n<\/tr>\n
5796<\/td>\nSheikh Sharfuddin Mim, Doina Logofatu, Gabriel Guerrero-Contreras and Inmaculada Medina-Bulo<\/td>\nA Comparative Analysis of Federated Learning Algorithms for Healthcare: Strengths, Limitations, and Practical Recommendations<\/td>\nOn-site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
CONTENT BASED IMAGE RETRIEVAL<\/td>\n<\/tr>\n
204<\/td>\nNada Farhani and Mounir Zrigui<\/td>\nDeep Learning and Image Preprocessing Techniques for Better Monochrome Image Captioning<\/td>\nOnline<\/td>\n<\/tr>\n
322<\/td>\nMuhammad Irtiza, Mohammed Omari, Khouloud Salameh, Ali Alnoman and Rashid Ibrahim<\/td>\nA Hybrid CBIR Framework Using Multi-Features with Iterative Query Expansion and Rocchio Relevance Feedback<\/td>\nOn-site<\/td>\n<\/tr>\n
3496<\/td>\nHana Rahiman, Mohammed Omari, Khouloud Salameh and Ali Alnoman<\/td>\nOptimizing Content-Based Image Retrieval System through Dimensionality Reduction Techniques (Short Paper)<\/td>\nOn-site<\/td>\n<\/tr>\n
5606<\/td>\nMoamen Elgawish, Mohammed Omari, Khouloud Salameh and Ali Alnoman<\/td>\nAn Optimized Hybrid CBIR Framework Combining\u00a0 Deep Semantic Hashing and Global Color Distribution<\/td>\nOn-site<\/td>\n<\/tr>\n
9384<\/td>\nRashid Ibrahim, Mohammed Omari, Khouloud Salameh, Ali Alnoman and Muhammad Irtiza<\/td>\nAttention-Augmented and Graph-Enhanced Hybrid\u00a0 Model for Content-Based Image Retrieval<\/td>\nOn-site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
IMAGE AND VISION TECHNIQUES<\/td>\n<\/tr>\n
2319<\/td>\nMd Roman Bhuiyan, Barbaros Yesilova, Anastasia Shadakh, Shrish Arunesh, Giulio Napolitano, Md Baharul Islam and Junaidi Abdullah<\/td>\nReal-Time Animal Pose Estimation Using Computer Vision Techniques<\/td>\nOnline<\/td>\n<\/tr>\n
3456<\/td>\nAdam Yassin Mohamed, Syed Mohammad Ali, Tariq Ribhi Yaseen, Abdul Wahab Basalirwa, Osman Abul and Ashraf Elnagar<\/td>\nNeuraVis: Retina Damage Detection Using Transfer Learning<\/td>\nOn-site<\/td>\n<\/tr>\n
5387<\/td>\nBaris Kaya, Melih Ilter Tekelioglu and Baykal Sarioglu<\/td>\nReal-Time Visual Navigation Framework for Edge-Level Systems Using Classical Vision Algorithms<\/td>\nOn-site<\/td>\n<\/tr>\n
8150<\/td>\nSena Yagmur Sen, Mehmet Turkan and Gazihan Alankus<\/td>\nRetinex-Fusion: A Novel Paradigm for Ultra-Low Light Image Enhancement<\/td>\nOnline<\/td>\n<\/tr>\n
8908<\/td>\nAltan Acar and Mehmet Turkan<\/td>\nMulti-Layer Sparse Coding for Multi-Exposure Image Fusion<\/td>\nOnline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
APPLICATIONS 1<\/td>\n<\/tr>\n
4525<\/td>\nAsmaa Benhmama and Brahim Sabiri<\/td>\nArtificial Intelligence and the Hay Method:\u00a0 A study of Candidate Evaluation in Moroccan Companies<\/td>\nOn-site<\/td>\n<\/tr>\n
5743<\/td>\nFaten El Outa and Amit Sharma<\/td>\nConversational Storytelling Agent with SatelliteData: Adapting to User Profiles<\/td>\nOn-site<\/td>\n<\/tr>\n
6276<\/td>\nHussain Attia, Ali Al Ataby, Saeed Alsuwaidi and Mohamad Harami<\/td>\nNeural Network-Based MPPT for High-Efficiency DC Power Delivery to Remote Buildings<\/td>\nOn-site<\/td>\n<\/tr>\n
8321<\/td>\nDr Nageswara Rao Lakkimsetty, Yahya Ali Hamadi, Rahma Juma and Zainab Masoud Hussein<\/td>\nHarnessing Artificial Intelligence in Wastewater Treatment: A Comprehensive Analysis of Emerging Research Trends and Innovations<\/td>\nOn-site<\/td>\n<\/tr>\n
9412<\/td>\nThan’a Alsaoudi, Eman Ouda, Adolf Acquaye and Malik Khalfan<\/td>\nArtificial Intelligence for Circular Economy Transformation:\u00a0 System Design Insights from Emerging Applications (Short Paper)<\/td>\nOnline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
APPLICATIONS 2<\/td>\n<\/tr>\n
547<\/td>\nLiviu-Andrei Scutelnicu and \u0218erban-Mihail Chiriac<\/td>\nIntelligent human detection system in the context of road safety NA<\/td>\nNA<\/td>\n<\/tr>\n
627<\/td>\nArfan Ghani and Nada Abdelhaleem<\/td>\nDrone-Based Maze Mapping and Path Solving via Embedded Computation<\/td>\nOn-site<\/td>\n<\/tr>\n
1113<\/td>\nAngelos Moulas, Nevena Rankovic and Mirjana Ivanovic<\/td>\nDecoding NASDAQ Trends with Sentiment and Transformers<\/td>\nOn-site<\/td>\n<\/tr>\n
1864<\/td>\nSoha Ahmed, Fady Alnajjar, Katrien Verbert, Hamad Aljassmi and Ashraf Khalil<\/td>\nEnhancing Female Representation in Automotive Research: GAN-driven rPPG Signal Synthesis<\/td>\nOn-site<\/td>\n<\/tr>\n
305<\/td>\nJihen Hlel, Sonia Mosbah, Mohamed Hamza Allani, Amina
\nBoujmil, Rania Ben Traki, Maya Zahrouni, Nour Mokhtar and
\nOmar Riahi<\/td>\n		Predictive Analytics for Next-Generation Dialysis<\/td>\nOnline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
AI IN HEALTHCARE AND MEDICAL INFORMATICS SPECIAL TRACK 1<\/td>\n<\/tr>\n
440<\/td>\nEya Ben Hamida, Sarra Abidi and Leila Ben Ayed<\/td>\nOntology-Constrained OCR with Verified Abstention and Semantic Metrics<\/td>\nOnline<\/td>\n<\/tr>\n
677<\/td>\nRim Babba, Khaled Ben Khalifa, Malika Charrad, Ahmed Ghazi Blaiech and Mohamed H\u00e9di Bedoui<\/td>\nHybrid CNN-SOM Models for Vigilance State Classification from EEG Signals<\/td>\nOn-site<\/td>\n<\/tr>\n
2421<\/td>\nHamad Aljassmi, Shamsa Almarzooqi, Soha Ahmed, Abdulrahman Al Blooshi, Luqman Ali and Fady Alnajjar<\/td>\nA Longitudinal Case Study on Detecting Emotional Dysregulation in a Child with Autism Spectrum Disorder Using Wearable Sensors (Short Paper)<\/td>\nOn-site<\/td>\n<\/tr>\n
5984<\/td>\nBilal Lamsili, Nida Ben Alhabib M. and Mondher Meddouri<\/td>\nFCA-Based Online Classifier for Medical Data Streams under the MOA Framework<\/td>\nOnline<\/td>\n<\/tr>\n
6860<\/td>\nVishwesh Laxmikant Akre, Lamia Al Hajri and Ramakrishnan Raman<\/td>\nXAI-MRI: A Multilayered Framework for Explainable AI driven Medical Risk Identification<\/td>\nOn-site<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n
AI IN HEALTHCARE AND MEDICAL INFORMATICS SPECIAL TRACK 2<\/td>\n<\/tr>\n
7259<\/td>\nSalem Trabelsi, Salah Gontara, Khaled Ben Khalifa and Abdellatif Mtibaa<\/td>\nDesigning a Teacher\u2013Student Knowledge Distillation Framework for Accurate and Efficient Epilepsy Prediction on Edge devices<\/td>\nOnline<\/td>\n<\/tr>\n
7479<\/td>\nSamira-Elena Enache and Lenuta Alboaie<\/td>\nMachine Learning-Based Risk Assessment and Prevention of Type 2 Diabetes Using Biometric Indicators<\/td>\nOnline<\/td>\n<\/tr>\n
9180<\/td>\nMaher Brini, Mariem Haoues and Asma Sellami<\/td>\nAutomated Evaluation of mHealth Application Quality Using LLMs and User Feedback<\/td>\nOnline<\/td>\n<\/tr>\n
9315<\/td>\nRania Slimen, Mariem Haoues, Bassem Bouaziz and Nedia Bouacida<\/td>\nAI-Based Recommender System for a Healthy Lifestyle<\/td>\nOnline<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][vc_column_text] The conference is adopting hybrid mode so that you can access all sessions through the ZOOM platform. Link: https:\/\/us05web.zoom.us\/j\/84666473186?pwd=Wg7AMJn7vON6ZjUgnPI5bn7OeZ57ET.1 [\/vc_column_text][vc_column_text] INISTA’2025 Program at a Glance Wednesday October 29, 2025 Thursday October 30, 2025 Friday October 31, 2025 9:00-9:30 Opening…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4316","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/pages\/4316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/comments?post=4316"}],"version-history":[{"count":98,"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/pages\/4316\/revisions"}],"predecessor-version":[{"id":5484,"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/pages\/4316\/revisions\/5484"}],"wp:attachment":[{"href":"https:\/\/conferences.sigappfr.org\/inista2025\/wp-json\/wp\/v2\/media?parent=4316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}