
Israel Data Science and AI Initiative 3rd Annual Conference
June 2-4, 2024
Poster Division by Dates
Sunday, 2.6.2024
Posters Session 1: |
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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 : |
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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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