| Vol-3318 urn:nbn:de:0074-3318-8 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# CIKM-WS 2022
Proceedings of the CIKM 2022 Workshops

### Proceedings of the CIKM 2022 Workshops
co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022)

### Atlanta, USA, October 17-21, 2022.

Edited by

### Georgios Drakopoulos *
Eleanna Kafeza **

* Ionian University, Department of Informatics, Tsirigoti Sq. 7, Greece
** Zayed University, College of Interdisciplinary Studies, Abu Dhabi, UAE

## Table of Contents

- Preface
  Summary: There were 49 papers submitted for peer-review to this workshop. Out of these, 64 papers were accepted for this volume, 10 as regular papers and 29 as short papers.

### The 2nd International Workshop On Transforms In Behavioral and Affective Computing (THECOG)

- Human-Robot Interactions Using Affective Computing
  Anthony Tzes
- Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4j
  Georgios Drakopoulos, Eleanna Kafeza
- Graph Neural Networks For Affective Social Media: A Comprehensive Overview
  Michail Karavokyris, Spyros Sioutas
- Towards A Real-Time Emergency Response Model For Connected And Autonomous Vehicles
  Yen-Hung Liu, Otavio de P. Albuquerque, Patrick C. K. Hung, Hossam A. Gabbar, Marcelo Fantinato, Farkhund Iqbal
- Deepfake Audio Detection Via Feature Engineering And Machine Learning
  Farkhund Iqbal, Ahmed Abbasi, Abdul Rehman Javed, Zunera Jalil, Jamal Al-Karaki
- Extreme Learning Machines For Efficient Speech Emotion Estimation In Julia
  Georgios Drakopoulos, Phivos Mylonas
- Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors
  Shiqui Liu, Dickson K. W. Chiu, Kevin K. W. Ho

### Analyticup - EvalRS: A Rounded Evaluation Of Recommender Systems (EVALRS)

- EvalRS: a rounded evaluation of recommender systems
  Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia
- Bias mitigation in recommender systems to improve diversity
  Du Cheng, Doruk Kilitçioğlu, Serdar Kadioğlu
- Diversity enhancement for collaborative filtering recommendation
  Liu Yankai
- Item-based variational auto-encoder for fair music recommendation
  Jinhyeok Park, Dain Kim, Dongwoo Kim
- RecFormer: personalized temporal-aware transformer for fair music recommendation
  Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng
- Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
  Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng
- Triplet losses-based matrix factorization for robust recommendations
  Flavio Giobergia

### The 1st International Workshop on Privacy Algorithms in Systems (PAS)

- k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality
  Devvrat Joshi, Janvi Thakkar
- Privacy Amplification for Episodic Training Methods
  Vandy Tombs, Olivera Kotevska, Steven Young
- Privacy policy robustness to reverse engineering
  A. Gilad Kusne1, Olivera Kotevska
- STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods
  Kyunghee Kim, Minha Kim, Simon Woo3

### Workshop on Human-in-the-loop Data Curation (HIL-DC)

- HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team
  Brendan Coon
- Developing a noise-aware AI system for change risk assessment with minimal human intervention
  Subhadip Paul, Anirban Chatterjee, Binay Gupta, Kunal Banerjee
- Human-AI Collaboration for Improving the Identification of Cars for Autonomous Driving
  Edwin Gamboa, Alejandro Libreros, Matthias Hirth, Dan Dubiner
- From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
  Kameswara Bharadwaj Mantha, Ramanakumar Sankar, Yuping Zheng, Lucy Fortson, Thomas Pengo, Douglas Mashek, Mark Sanders, Trace Christensen, Jeffrey Salisbury, Laura Trouille, Jarrett E. K. Byrnes, Isaac Rosenthal, Henry Houskeeper, Kyle Cavanaugh
- A human-ML collaboration framework for improving video content reviews
  Meghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen
- Creating a framework for a Benchmark Religion Dataset
  Deepa Muralidhar, Ashwin Ashok
- Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
  Baihan Lin

### Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI)

- Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations
  Shea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi Wijaya, Mateja Jamnik, Pietro Lio
- Interpretability in Activation Space Analysis of Transformers: A Focused Survey
  Soniya Vijayakumar
- Shortcomings of Interpretability Taxonomies for Deep Neural Networks
  Anders Søgaard
- Want robust explanations? Get smoother predictions first
  Deddy Jobson
- Explaining Convolutional Neural Networks by Tagging Filters
  Anna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber
- Offensive text detection across languages and datasets using rule-based and hybrid methods
  Kinga Gémes, Ádám Kovács, Gábor Recski
- Globally local and fast explanations of t-SNE-like nonlinear embeddings
  Pierre Lambert, Rebecca Marion, Julien Albert, Emmanuel Jean, Sacha Corbugy, Cyril de Bodt
- Explainability for Misinformation in Financial Statements
  Sushodhan Vaishampayan, Akshada Shinde, Aditi Pawde, Sachin Pawar, Manoj Apte, Girish Keshav Palshikar
- Finding components of a good accuracy with XAI!
  Benjamin Chamand, Olivier Risser-Maroix
- Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design
  Ali Behrouz, Mathias Lécuyer, Cynthia Rudin, Mango Seltzer
- Privacy and transparency in graph machine learning: A unified perspective
  Megha Kosla

### The 1st Workshop On Proactive And Agent-Supported Information Retrieval (PASIR)

- Towards Mixed-Initiative Conversational Information Seeking
  Hamed Zamani
- Conversational Information Retrieval using Knowledge Graphs
  Pruthvi Raj Venkatesh, K Chaitanya, Rishu Kumar, P Radha Krishna
- Adaptive Re-Ranking as an Information-Seeking Agent
  Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
- Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts
  Tabish Ahmed, Sahan Bulathwela

### The 2nd Workshop on Mixed-Initiative Conversational Systems (MICROS)

- A Child-Friendly Approach to Spoken Conversational Search
  Thomas Beelen, Khiet P. Truong, Roeland Ordelman, Ella Velner, Vanessa Evers, Theo Huibers
- Towards a theoretical formalization of conversational recommendation
  Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo

2022-12-20: submitted by Georgios Drakopoulos, metadata incl. bibliographic data published under Creative Commons CC0
2023-01-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|