IDSAI 2024

Israel Data Science and AI Initiative 3rd Annual Conference

June 2-4, 2024

Poster Division by Dates

Sunday, 2.6.2024

Posters Session 1:
A Framework for Features Selection in Fat Datasets Using External Knowledge Integration | Kartheeswaran Thangathurai
Machine Learning-Guided Optimization of Enantioselective Pd-Catalyzed Metal Walk Deracemization | Eden Specktor
The Collective Posterior Distribution and Its Application in Simulation-Based Inference from Highly Variable Experimental Replicates | Nadav Ben Nun
Prediction of Active CRISPR/Cas9 Off Target Cleavage Sites by Sequence and Epigenetic Marks Using Deep Neural Networks | Alon Luboshitz
Neural Additive Models for Predicting Human Behavior | Eyal Marantz
Improving Hospital Outpatient Clinics Appointment Schedules by Prediction Models | Onn Shehory
Large Language Models and Complex Narrative Understanding Tasks: Is It The End for Crowdwork Based Research? | Armin Shmilovici
Shortening the CDI Early Language Assessment Using Machine Learning | Hagit Hel-Or
Perceptual-based Classification of Anxiety and Depression Disorders Using Augmented Tabular Data | Yuval Samoilov-Katz
Utilizing Deep Learning to Detect Connectivity Variations in Intracranial EEG (iEEG) Across Different States in the Brain | Hodaya Eden Pinian
Understanding and Mitigating Stellar Activity Problem in Exoplanet Detection Using Machine Learning | Mangesh Daspute
Nonlinear Self-Calibrated Spectrometer with Single GeSe-InSe Heterojunction Device | Rana Darweesh
(In)Equality in the Local Education Finance Policy: Semantic Networks Analysis in Decision-Making Processes | Ruth Meoded
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings Favor High-Performing Learners | Abigail Gurin Schleifer
Curriculum Estimation: The Weak Oracle and Elimination Algorithm | Omer Cohen
DSE: Deep Spectral Embedding | Nir Ben-Ari
Image-based Molecular Representation Learning for Chemical Properties Prediction in Organic Reaction Catalysis | Yonatan Harnik
Time-Based TF-IDF (tTF-IDF): Enhancing Text Analysis with Temporal Relevance | Avi Treistman
DEPTH: Discourse Education through Pre-Training Hierarchically | Zachary Bamberger
Text Summarization Evaluation: Unveiling the Logarithmic Loss Gain of a Language Model through Lossless Compression | Dana Levin
Reference Extraction from Hebrew/Aramaic Responsa | Menachem Sperka
Assessing User Trust In LLM-Powered Chatbots | Diana Bar-or Nirman
Root Length Estimation: MR Image Analysis with Convolutional Networks (CNNs) without Segmentation | Faina Horoshevsky
Factors Influencing Academic Success in Degree Attainment | Dror Myghaz
Offensive Language Detection in Bengali, Bodo, and Assamese: A Comparative Study Using Classical Machine Learning and Deep Learning Methods | Avital Prives Rozenthal
Machine Education Approach For Country-Scale High Resolution Air Pollution Modeling | Avitay Geltman
Polarimetric Computer Vision and Deep Learning Method for Spatio-temporal Water Waves Reconstruction | Noam Ginio
Transcending Traditional Paleography Through Computational Analysis | Berat Kurar & Sharva Gogawale
A Single Molecule Or Emergent Collective Properties: A Comprehensive Study Using Artificial Intelligence | Itamar Wallwater
Can Large Language Models Augment a Biomedical Ontology with missing Concepts and Relations? | Mor Peleg & Antonio Zaitoun
Clickbait Detection in Hebrew | Chaya Liebeskind & Talya Natanya

Monday, 3.6.2024

Poster Session 2 :
Rethinking Feature Selection: A Comprehensive Analysis of its I | Itamar Elmakias
FundusQ-Net: A Regression Quality Assessment Deep 
Learning Algorithm for Fundus Images
Quality Grading | Or Abramovich
Unsupervised and Supervised Method for Batch Effect Removal | Avraham Harrar
Deep Learning for Children's Sleep Staging from Photoplethysmography: A Transfer Learning Approach from Adults to Children | Sharon Haimov
Generalizable and Robust Deep Learning Algorithm for Atrial Fibrillation Diagnosis Across Geography, Ages and Sexes | Shany Biton-Brimer
LIBERTy: An Interventional Benchmark For Concept-Level Explanation Methods of NLP Models | Gilat Toker
Leveraging Character N-grams for Sentiment Analysis: Depression Detection in Hebrew as A Test Case | Ron Keinan
Unveiling Bitter Taste Receptor Interactions: A Natural Language Processing Approach for Ligand Interactions Prediction and Cross-Species Perception | Moran David
Domain-Based Strategies for Targeted Masking: Enhancing Foundation Models in Single-Cell RNA-Sequencing | Alon Hacohen
Enhanced Prediction of DNA Regulatory Elements In Low-Resource Datasets: An Adaptor Fusion Approach | Nataliya Logvina
RNA Editing Enzyme Nuclear Localization Is Regulated to Control Its Substrate Selection | Berta Eliad
CPLLM: Clinical Prediction with Large Language Models | Ofir Ben Shoham
Incorporating the Spiral of Silence Into Ppinion Dynamics | Shir Mamaia
Harnessing Cloud Computing for Big Data Processing and Accessibility in Time Domain Astronomy | Bisi Ogunwale
Leveraging Trained Neural Networks for Homogeneity Assessment: Two-Sample Testing at the Neuron Level | Roni Ben Dom, Ron Darmon
Optimization of Computational Ghost Imaging Using Deep Neural Networks | Mor Hale
A Large Language Model Goes to Hollywood - A Proppian Analysis of Movie Plots | Milka Kaplan
Early Detection of Depression Using Machine Learning and Deep Learning Methods | Yair Yigal
Gender-based Differences in the Non-Official Political Russian Media Participants Using YouTube and AI | Michael Freedman
Diffusion Lens | Michael Toker
Autonomous Agent for Interrogation | Merav Chkroun
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models | Alon Jacoby
A Multi-viewpoint Spectrum as a New Paradigm for Inter-actor Relationships’ Analysis in Non-social Textual Corpora: The Case of the UN General Debate Corpus | Efrat Miller-Rotem
Augmenting Reaction Scope by Classification | Inbal Lorena Eshel


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