CONFERENCE PROGRAM
Sunday ,8.1.2023
08:30-11:00 | Registration | Welcome (Avni Hall) | |
11:00-11:20 | Opening Remarks | Paul Feigin (Avni Hall) | |
11:20-12:20 | K1 - Keynote Speaker | Informed and augmented learning for empowering the engineering of critical urban systems | Prof. Francisco Chinesta, Chair: Paul Feigin (Avni Hall) | |
12:20-13:45 | Lunch | |
S1 A | Biomedical informatics, Chair: Mark Last (Avni Hall) | S1 B | Sound Applications, Chair: Roee Diamant (Amichai Hall) | |
14:00-14:20 | Text Mining for Past Medical History in Electrodiagnostic Studies | Roni Ramon-Gonen | Deep MUSIC Algorithms for Data-Driven DoA Estimation | Nir Shlezinger |
14:20-14:40 | Optimizing Surgery Duration via Prediction and Causality Analysis | Onn Shehory | A Graph-Based Clustering of Chirplet Signals Towards Monitoring of Coastal Dolphins | Roee Diamant |
14:40-15:00 | Locally Sparse Neural Networks for Tabular Biomedical Data | Ofir Lindenbaum | Single Microphone Speaker Extraction Using Unified Time-Frequency Siamese-Unet | Sharon Gannot |
15:00-15:20 | Using ECG signals for hypotensive episode prediction in trauma patients | Mark Last | Can one hear the position of nodes? | Rami Puzis |
15:20-15:40 | Coffee Break | Hotel Check In & key distribution (Avni Hall) | |
S2 A , Chair: Tsvi Kuflik (Avni Hall) | ||
15:40-16:00 | Automatic Identification of Rhetorical Elements in Classical Arabic Poetry | Tsvi Kuflik and Ali Hussein | |
16:00-16:20 | Causal Inference Under Misspecified Interference | Bar Weinstein | |
16:20-16:40 | Imams, Social Media, and Pro-Regime Mobilization in Turkey | Michael Freedman | |
16:40-17:00 | Using a Machine Learning Approach to Promote Early Detection of Autism Risk from Infant Electronic Health Records | Ayelet Ben-Sasson | |
18:00-19:00 | Dinner | |
19:15-19:30 | Reception (Amichai Hall) | |
19:30 | Poster Session 1 (Amichai Hall) |
Monday, 9.1.2023
M1 A: NLP and Vision, Chair: Yaakov Ophir (Avni Hall) | M1 B, Chair: Kfir Levy (Amichai Hall) | |
09:00-09:20 | Identifying Women with Post-Delivery Posttraumatic Stress Disorder using Natural Language Processing of Personal Childbirth Narratives | Alon Bartal | Imbalanced Mixed Linear Regression | Pini Zilber |
09:20-09:40 | Two new approaches to textual data augmentation | Dan Vilenchik | Dimension reduction, the curse of continuity, and topological data analysis | Emanuel (Menachem) Lazar |
09:40-10:00 | Using the Deep Learning Computer Vision Tool of CLIP to Predict High Suicide Risk from Facebook images | Yaakov Ophir | Robust Linear Regression For General Feature Distribution | Kfir Levy |
10:00-10:15 | Coffee Break | |
M2 A: Computational Biology, Chair: Judith Somekh (Avni Hall) | M2 B, Chair: Dana Lahat (Amichai Hall) | |
10:20-10:40 | BitterMatch: Recommendation Systems for Matching Molecules with Bitter Taste Receptors | Yuli Slavutsky | A New View of Inverse Problems via Diffusion Models | Michael Elad |
10:40-11:00 | G-S-M: Grouping, Scoring and Modeling Approach. Integration of Biological Domain Knowledge to Machine Learning Based Gene Expression Data Analysis for Selecting Affected Gene Sets | Malik Yousef | Conformance Checking Over Stochastically Known Logs | Eli Bogdanov |
11:00-11:20 | Unsupervised approach for detecting whole-body gene expression coordination pattern | Judith Somekh | Interactive Explanations Of Agent Behavior | Yotam Amitai |
11:20-11:40 | Using data processing methods for understanding immune germline and somatic selection | Itai Danielli | Multimodal Data Fusion: An Overview of Methods, Challenges and Prospects | Dana Lahat |
11:50-12:50 | K2 - Keynote Speaker | Prof. Ido Dagan, Chair: Sol Efroni (Avni Hall) | |
12:50-13:50 | Lunch + Preparing for the trip | |
13:50-17:00 | 2 options for trips near Ein Gedi | |
18:30-19:30 | Dinner | |
19:30 | Poster Session 2 |
Tuesday, 10.1.2023
08:45-09:45 | Google Cloud for Research using AI/ML and Data AnalyticsE | Niv Efron, Chen Blecher, Gavriel Mitran, Chair: Isana Veksler-Lublinsky (Avni Hall) | |
T1 A, Chair: Eli Safra (Avni Hall) | T1 B, Chair: Galit Almoznino (Amichai Hall) | |
10:00-10:20 | Thrill ride: Recommendations in Transportation Systems | Eli Safra | Modelling COVID-19 Spread in a Complex Reality | Hilla De-Leon |
10:20-10:40 | Unsupervised Acoustic Scene Mapping Based on Acoustic Measurements and Dimensionality Reduction | Idan Cohen | Performative Prediction in a Stateful World | Shlomi Hod |
10:40-11:00 | Rheumatic Monitor: A New Architecture For Screening, Monitoring And Analyzing Big Data Of Multiple Rheumatic Disease Patients: The Case Study Of Fibromyalgia | Galit Almoznino | |
11:00-11:20 | Coffee Break | |
T2 A , Chair: Guy Gilboa (Avni Hall) | T2 B | Computational Biology, Chair: Isana Veksler-Lublinsky (Amichai Hall) | |
11:20-11:40 | More Than Meets the Eye - Anesthesiologists' visual attention in the operating room | Sapir Gershov | Model-free prediction of microbiome compositions | Amir Bashan |
11:40-12:00 | Dimensionality Reduction of the Dynamics of Neural Network Training | Guy Gilboa | Canonical Correlation Analysis for Multi-Trait GWAS | Or Zuk |
12:00-12:20 | FlexER: Flexible Entity Resolution for Multiple Intents | Bar Genossar | Transfer learning improves cross-species prediction of miRNA-target interactions | Eyal Hadad |
12:20-14:00 | Lunch | |
T3 A, Chair: Orit Hazzan (Avni Hall) | T3 B (Amichai Hall), Chair: Nir Weinberger | |
14:00-14:20 | A Dynamic Networks Approach to Language Development | Elitzur Dattner | Active Probabilistic Databases | Osnat Drien |
14:20-14:40 | Guide to Teaching Data Science: Pedagogical Principles and Main Topics | Orit Hazzan | Baroque Simplicity: Simplicity Bias in Overparameterized Machine Learning | Yakir Berchenko |
14:40-15:00 | Classification of point patterns using topological pair correlations | Gil Ariel | Fast Nonlinear Vector Quantile Regression | Aviv Rosenberg |
15:00-15:20 | Increasing the Adoption of Responsible AI and Data Science | Ravit Dotan | Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models | Nir Weinberger |
15:20-15:40 | Coffee Break | |
T4 A | Causal Inference, Chair: Bella Vakulenko-Lagun (Avni Hall) | T4 B | Data Science for Animals, Chair: Anna Zamansky and Itzik Klein (Amichai Hall) |
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15:40-16:00 Identifying causal determinants of hospital outcomes from electronic health records using causal graphical learning | Daniel Malinsky | 15:40-16:15 AI for Happiness, Behavior, and Personality | Oren Forkosh, Invited Speaker |
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16:00-16:20 Negative controls for instrumental variables | Daniel Nevo | 16:15-16:30 Automated Recognition of Animal Affective States | Marcelo Feighelstein |
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16:20-16:40 The computation and use of tight symbolic nonparametric bounds | Erin Gabriel | 16:30-16:45 Computer Vision based system in Precision Livestock for automatic lamb identification and drinking activity | Adi Alon |
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16:40-17:00 Using Machine Learning and Causal Inference to Improve Patient Care and Reduce Costs in Diagnosis of Blood Cancers | Michael Sachs | 16:45-17:00 Canine Ataxic Classification Using Inertial Sensors | Itzik Klein |
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17:00-17:15 | Coffee Break | |
17:15-18:15 | K3 - Keynote Speaker | Prof. Marina Sirota, Chair: Judith Somekh (Avni Hall) | |
19:30-21:30 | Gala dinner |
Wednesday, 11.1.2023
08:30-09:00 | Check out | Coffee | |
09:00-10:00 | K4 - Keynote Speaker | Data Science for Society: Opportunities, Impact, and Challenges | Prof. Nitesh Chawla, Chair: Mark Last (Avni Hall) | |
10:00-10:10 | Penultimate Remarks | Paul Feigin | |
W1 A | Data-science for improving health care systems, Chair: Nadav Rappaport (Avni Hall) | W1 B | Data Science for Social Good , Chair: Yuli Slavutsky(Amichai Hall) | |
10:20-10:40 | Treatment Prediction in the ICU SettingUsing a Partitioned Sequential Deep Time Series Analysis | Yuval Shahar | Leveraging Data Science for Social Good: Introducing the New Program at the Hebrew University | Yuli Slavutsky |
10:40-11:00 | Time-Dependent Iterative Imputation for Multivariate Longitudinal Clinical Data | Omer Noy | Temporal Changes in Bird Migration Patterns - A Data Science for Social Good Project | Ariel Vishne |
11:00-11:20 | Optimizing Operation Room Utilization—A Multi-Centers Prediction Model | Nadav Rappoport | Data Science for Social Good – Open Discussion | Ronit Lis Hacohen |
11:20-11:40 | Personalizing Digital Health Interventions with AI to Support Behavior Change | Mor Peleg |
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Ein Gedi Hotel, the Dead Sea
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