Abstract list:
Monday, 3.1.2022
- Complete Closed Time Intervals Related Patterns Mining, Omer David Harel ( BGU)
- Online Segmentation of Dynamic Data Stream Using Dynamic Classification Unit Classifier & ExpanDrogram Visualization, Anna Khalemsky (BIU)
- Differentiable Unsupervised Feature Selection based on a Gated Laplacian, Ofir Lindenbaum (BIU)
- Identifying Avoidance In Animal Social Networks Using Automated Proximity Loggers, Amiyaal Ilany ( BIU)
- Sparse Modeling for Improving Image Generators, Roy Ganz (Technion)
- Deep Weighted Consensus (DWC) - Dense correspondence confidence maps for 3 D shape registration, Dvir Ginzburg (TAU)
- A Methodology for Predicting Tissue-specific Metabolic Roles of Receptors Applied to Subcutaneous Adipose, Judith Somekh (Haifa U.)
- Adapting Breast Cancer Polygenic Risk Scores to Diverse Ethnic Groups in Israel, Hagai Levi (TAU)
- Extracting the Invisible from Live Cell Microscopy, Assaf Zaritsky (BGU)
- Minimax Regret Rates for Prediction under Log Loss via Information Geometry, Nir Weinberger (Technion)
- Non-Bayesian Parametric Missing Mass Estimation, Tirza Routtenberg (BGU)
- Predicting Classification Accuracy When Adding New Unobserved Classes, Yuli Slavutsky (HUJI)
- Optimal selection of sample size-dependent common subsets of covariates for multi-task regression prediction, David Azriel (Technion)
Tuesday, 4.1.2022
- Model Compression for Domain Adaptation through Causal Effect Estimation, Guy Rotman (Technion)
- Automatic Identification of Ruptures in Transcribed Psychotherapy Sessions, Dana Atzil Slonim (BIU)
- How does social memory work on social media? A conceptual and methodological framework for the large-scale identification of discourse on the Holocaust on Facebook, Anat Ben David (Open U.)
- Semantic Image Networks: Mapping & Validating the Multi-Modal Discursive Space of Populist Social Media, Michael Freedman (Haifa U.)
- GNMR: A Provable One Line Algorithm for Low-Rank Matrix Recovery Problems, Pini Zilber (Weizmann)
- Towards the global equilibrium of COVID-19: statistical analysis of country-level data, Mark Last (BGU)
- Learning Sub Nyquist Sampling for FRI Signals, Haiynag Zhang (Weizmann)
- Classifying Autism Spectrum Disorder (ASD) causal genes based on Intrinsic Disordered Regions, Shula Shazman (Open U.)
- Near-Optimal Entrywise Sampling of Numerically Sparse Matrices, Shay Sapir (Weizmann)
- Causal Inference For Heterogeneous Disease Etiology, Amit Sasson (TAU)
- Personalized Federated Learning with Gaussian Processes, Idan Achituv (BIU)
- TRACEvar: Prioritizing and interpreting pathogenic variants that underlie hereditary diseases by using machine learning and tissue contexts, Chanan Argov (BGU)
Wednesday, 5.1.2022
- Interpretable Deep Learning Uncovers Cellular Properties in Label-Free Live Cell Images that are Predictive of Highly Metastatic Melanoma, Assaf Zaritsky (BGU)
- An Explicit Probabilistic Model For Genome Compartmentalization, Hagai Kariti (Technion)
- KMD Clustering: Robust Generic Clustering of Biological Data, Noam Kaplan (Technion)
- Reconfiguring primase DNA-recognition sequences by using a data-driven approach, Barak Akabayov (BGU)
- The Role of Thinking Level in Mathematics Problem Solving: A Large-Scale Log-Based Exploration, Arnon Hershkovitz (TAU)
- Data-Driven Based Navigation, Itzik Klein (Haifa U.)
- Machine Learning and Hebrew NLP for Automated Assessment of Open-Ended Questions in Biology, Tanya Nazaretsky (Weizmann)
- Adaptive Attitude and Heading Estimation Using Deep Learning Approaches, Eran Vertzberger (Haifa U.)
- Seeding Course Forums with the Teacher-in-the-Loop, Kobi Gal (BGU)
- Learning Inertial-based Activity Recognition with Transformers, Yoli Shavit (BIU)
- Fully Automatic Anesthesiologists Trajectory Prediction Based on Graph Convolution Networks for Autonomous Clinical Decision Support System, Sapir Gershov (Technion)
- Learning under Delayed Feedback: Implicitly Adapting to Gradient Delays, Kfir Yehuda Levy (Technion)
- Causal Hazard Ratio Estimation In Randomized And Observational Studies, Rachel Axelrod (TAU)
- Improved Estimators for Semi-supervised High-dimensional Regression Model, Ilan Livne (Technion)
- A Matching-Based Approach For Identification And Estimation Of The Survivor Average Causal Effect In Truncation By Death Problems, Tamir Zehavi (TAU)
- K-vectors: An Alternating Minimization Algorithm for Learning Regression Functions, Nir Weinberger (Technion)
- Machine-Learning Based Routing of Callers in an Israeli Mental Health Hotline, Akiva Kleinerman (BIU)
- Deep Permutation Equivariant Structure from Motion, Ronen Basri (Weizmann)
- "I Don’t Think So": Summarizing Policy Disagreements for Agent Comparison, Yotam Amitai (Technion)
- GIScience integrated with computer vision for the spatial examination of historical visual sources, Ilan Shimshoni (Haifa U.)
- Interpreting Machine-Learning Flood Prediction Models, Efrat Morin (HUJI)
Thursday, 6.1.2022
- Koopman Analysis of Gradient Descent Optimization, Ido Cohen (Technion)
- Oracle Complexity in Nonsmooth Nonconvex Optimization, Guy Kornowski (Weizmann)
- "Did I Say Something Wrong?": A Safe Collaborative Chatbot, Merav Chkroun (Ariel U.)
- GoCom – a Guideline-based Goal-oriented Methodology for Treating Patients with Multimorbidity and Its Preliminary Evaluation, Alexandra Kogan and Mor Peleg (Haifa U.)
- Selecting Intermittent Fasting Type to Improve Health in Type 2 Diabetes: A Machine Learning Approach, Shula Shazman (Open U.)