Table of Contents

• A Child-Friendly Approach to Spoken Conversational SearchThomas Beelen, Khiet P. Truong, Roeland Ordelman, Ella Velner, Vanessa Evers, Theo Huibers. [doi]
• Adaptive Re-Ranking as an Information-Seeking AgentSean MacAvaney, Nicola Tonellotto, Craig Macdonald. [doi]
• A human-ML collaboration framework for improving video content reviewsMeghana Deodhar, Xiao Ma, Yixin Cai, Alex Koes, Alex Beutel, Jilin Chen. [doi]
• Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4jGeorgios Drakopoulos, Eleanna Kafeza. [doi]
• Shortcomings of Interpretability Taxonomies for Deep Neural NetworksAnders Søgaard. [doi]
• Human-AI Collaboration for Improving the Identification of Cars for Autonomous DrivingEdwin Gamboa, Alejandro Libreros, Matthias Hirth, Dan Dubiner. [doi]
• Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious CorrelationsShea Cardozo, Gabriel Islas Montero, Dmitry Kazhdan, Botty Dimanov, Maleakhi A. Wijaya, Mateja Jamnik, Pietro Liò. [doi]
• Human-Robot Interactions Using Affective ComputingAnthony Tzes. [doi]
• Explaining Convolutional Neural Networks by Tagging FiltersAnna Nguyen, Daniel Hagenmayer, Tobias Weller, Michael Färber 0001. [doi]
• Towards A Real-Time Emergency Response Model For Connected And Autonomous VehiclesYen-Hung Liu, Otávio de Paula Albuquerque, Patrick C. K. Hung, Hossam A. Gabbar, Marcelo Fantinato, Farkhund Iqbal. [doi]
• k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering QualityDevvrat Joshi, Janvi Thakkar. [doi]
• Prediction of Mobile Coupon Use: Data Analytics of Influencing FactorsShiqui Liu, Dickson K. W. Chiu, Kevin K. W. Ho 0001. [doi]
• Developing a noise-aware AI system for change risk assessment with minimal human interventionSubhadip Paul, Anirban Chatterjee, Binay Gupta, Kunal Banerjee 0001. [doi]
• Diversity enhancement for collaborative filtering recommendationYankai Liu. [doi]
• Privacy policy robustness to reverse engineeringA. Gilad Kusne, Olivera Kotevska. [doi]
• From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation modelKameswara 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. [doi]
• STL-DP: Differentially Private Time Series Exploring Decomposition and Compression MethodsKyunghee Kim, Minha Kim, Simon Woo3. [doi]
• Graph Neural Networks For Affective Social Media: A Comprehensive OverviewMichail Karavokyris, Spyros Sioutas. [doi]
• Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy designAli Behrouz, Mathias Lécuyer, Cynthia Rudin, Mango I. Seltzer. [doi]
• Privacy Amplification for Episodic Training MethodsVandy Tombs, Olivera Kotevska, Steven Young. [doi]
• Conversational Information Retrieval using Knowledge GraphsPruthvi Raj Venkatesh, K. Chaitanya, Rishu Kumar, Radha Krishna. [doi]
• Extreme Learning Machines For Efficient Speech Emotion Estimation In JuliaGeorgios Drakopoulos, Phivos Mylonas. [doi]
• EvalRS: a rounded evaluation of recommender systemsJacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia. [doi]
• Explainability for Misinformation in Financial StatementsSushodhan Vaishampayan, Akshada Shinde, Aditi Pawde, Sachin Pawar, Manoj Apte, Girish Keshav Palshikar. [doi]
• Towards Mixed-Initiative Conversational Information SeekingHamed Zamani. [doi]
• Finding components of a good accuracy with XAI!Benjamin Chamand, Olivier Risser-Maroix. [doi]
• Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and OutlookBaihan Lin. [doi]
• Triplet losses-based matrix factorization for robust recommendationsFlavio Giobergia. [doi]
• Privacy and transparency in graph machine learning: A unified perspectiveMegha Kosla. [doi]
• Towards Proactive Information Retrieval in Noisy Text with Wikipedia ConceptsTabish Ahmed, Sahan Bulathwela. [doi]
• RecFormer: personalized temporal-aware transformer for fair music recommendationWei-Yao Wang, Wei-Wei Du, Wen-Chih Peng. [doi]
• Want robust explanations? Get smoother predictions firstDeddy Jobson. [doi]
• Offensive text detection across languages and datasets using rule-based and hybrid methodsKinga Gémes, Ádám Kovács, Gábor Recski. [doi]
• HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation TeamBrendan Coon. [doi]
• Creating a framework for a Benchmark Religion DatasetDeepa Muralidhar, Ashwin Ashok. [doi]
• Globally local and fast explanations of t-SNE-like nonlinear embeddingsPierre Lambert, Rebecca Marion, Julien Albert, Emmanuel Jean, Sacha Corbugy, Cyril de Bodt. [doi]
• Towards a theoretical formalization of conversational recommendationTommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo. [doi]
• Interpretability in Activation Space Analysis of Transformers: A Focused SurveySoniya Vijayakumar. [doi]
• Item-based variational auto-encoder for fair music recommendationJinhyeok Park, Dain Kim, Dongwoo Kim. [doi]
• Deepfake Audio Detection Via Feature Engineering And Machine LearningFarkhund Iqbal, Ahmed Abbasi, Abdul Rehman Javed, Zunera Jalil, Jamal Al-Karaki. [doi]
• Track2Vec: fairness music recommendation with a GPU-free customizable-driven frameworkWei-Wei Du, Wei-Yao Wang, Wen-Chih Peng. [doi]
• Bias mitigation in recommender systems to improve diversityDu Cheng, Doruk Kilitçioglu, Serdar Kadioglu. [doi]