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MAD@ICMR 2022: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, Newark, NJ, USA, June 27 - 30, 2022

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MAD@ICMR 2022: Proceedings of the 1st International Workshop on Multimedia AI against Disinformation, Newark, NJ, USA, June 27 - 30, 2022

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Towards Generalization in Deepfake Detection
Luisa Verdoliva

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Let the Chatbot Speak! Freedom of Expression and Synthetic Media
Katja De Vries

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On the Generalizability of Two-dimensional Convolutional Neural Networks for Fake Speech Detection
Christoforos Papastergiopoulos | Anastasios Vafeiadis | Ioannis Papadimitriou | Konstantinos Votis | Dimitrios Tzovaras

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Spectral Denoising for Microphone Classification
Luca Cuccovillo | Antonio Giganti | Paolo Bestagini | Patrick Aichroth | Stefano Tubaro

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Automatic and Manual Detection of Generated News: Case Study, Limitations and Challenges
Jérémie Bogaert | Marie-Catherine de Marneffe | Antonin Descampe | François-Xavier Standaert

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Extractive-Boolean Question Answering for Scientific Fact Checking
Loïc Rakotoson | Charles Letaillieur | Sylvain Massip | Fréjus A. A. Laleye

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How Did Europe's Press Cover Covid-19 Vaccination News? A Five-Country Analysis
David Alonso del Barrio | Daniel Gática-Pérez

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Automatic Detection of Bot-generated Tweets
Julien Tourille | Babacar Sow | Adrian Popescu

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Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
Davide Alessandro Coccomini | Roberto Caldelli | Fabrizio Falchi | Claudio Gennaro | Giuseppe Amato

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The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spiros Baxevanakis | Giorgos Kordopatis-Zilos | Panagiotis Galopoulos | Lazaros Apostolidis | Killian Levacher | Ipek Baris Schlicht | Denis Teyssou | Ioannis Kompatsiaris | Symeon Papadopoulos

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Uncovering the Strength of Capsule Networks in Deepfake Detection
Dan-Cristian Stanciu | Bogdan Ionescu

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Fake News Detection Based on Multi-Modal Classifier Ensemble
Yi Shao | Jiande Sun | Tianlin Zhang | Ye Jiang | Jianhua Ma | Jing Li

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ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27 - 30, 2022

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ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27 - 30, 2022

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Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis
Akriti Sharma | Mette H. Stensen | Erwan Delbarre | Trine B. Haugen | Hugo Lewi Hammer

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Multimodal Cheapfakes Detection by Utilizing Image Captioning for Global Context
Tuan-Vinh La | Quang-Tien Tran | Thanh-Phuc Tran | Anh-Duy Tran | Duc-Tien Dang-Nguyen | Minh-Son Dao

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Tone Classification for Political Advertising Video using Multimodal Cues
Anh-Khoa Vo | Yuta Nakashima

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A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data
Rupayan Mallick | Jenny Benois-Pineau | Akka Zemmari | Marion Pech | Thinhinane Yebda | Hélène Amieva | Laura Middleton

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Predicting High-risk Congestion Areas During Heavy Rain Using Multi Prediction Model and Maximum Periodic Frequent Pattern Algorithms
Minh-Dang Tran | Nazmudeen Mohamed Saleem

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IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities
Wenbin Gan | Minh-Son Dao | Koji Zettsu | Yuan Sun

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Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children
Pegah Salehi | Syed Zohaib Hassan | Saeed Shafiee Sabet | Gunn Astrid Baugerud | Miriam Sinkerud Johnson | Pål Halvorsen | Michael A. Riegler

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Towards Intellectual Property Rights Protection in Big Data
Rafik Hamza | Minh-Son Dao | Sadanori Ito | Koji Zettsu

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DeDigi: A Privacy-by-Design Platform for Image Forensics
Chi-Hao Tran | Quoc-Thang Tran | Quynh-Chau Long-Vu | Hai-Son Nguyen | Anh-Duy Tran | Duc-Tien Dang-Nguyen

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FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction
Tran Anh Khoa | Do-Van Nguyen | Phuoc Van Nguyen Thi | Koji Zettsu

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Efficient Resource Allocation using Federated Learning in Cellular Networks
Son Cao Nguyen | Minh Hoang | Tinh Phuc Vo | Duc Ngoc Minh Dang

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Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022

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Proceedings of the 12th Italian Information Retrieval Workshop 2022, Milan, Italy, June 29-30, 2022

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A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract)
Domenico Dato | Sean MacAvaney | Franco Maria Nardini | Raffaele Perego | Nicola Tonellotto

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A Modular Approach to Topic Modeling for Heterogeneous Documents
Giovanni Toto | Emanuele Di Buccio

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AI-based Decision Support Systems for the Management of E-rocurement Procedures
Pasquale Lops | Marco Di Ciano | Nicola Lopane | Lucia Siciliani | Vincenzo Taccardi | Eleonora Ghizzota | Giovanni Semeraro

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Addressing Privacy in Recommender Systems with Federated Learning
Vito Walter Anelli | Tommaso Di Noia | Eugenio Di Sciascio | Antonio Ferrara | Alberto Carlo Maria Mancino

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An Analysis of Local Explanation with LIME-RS
Vito Walter Anelli | Alejandro Bellogín | Tommaso Di Noia | Francesco Maria Donini | Vincenzo Paparella | Claudio Pomo

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An Analysis of User Click Behaviour in Online Hotel Search
Emanuele Cavenaghi | Lorenzo Camaione | Paolo Minasi | Gabriele Sottocornola | Fabio Stella | Markus Zanker

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Assessing the Semantic Difficulty of Queries
Guglielmo Faggioli | Stefano Marchesin

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Choice Models for Simulating the Consumption of Recommendations
Naieme Hazrati | Francesco Ricci

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Comparing ANOVA Approaches to Detect Significantly Different IR Systems
Guglielmo Faggioli | Nicola Ferro

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Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract)
Veronica Gil-Costa | Fernando Loor | Romina Molina | Franco Maria Nardini | Raffaele Perego | Salvatore Trani

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Evaluating Recommendations in a User Interface With Multiple Carousels
Maurizio Ferrari Dacrema | Nicolò Felicioni | Paolo Cremonesi

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Feature Selection via Quantum Annealers for Ranking and Classification Tasks
Maurizio Ferrari Dacrema | Fabio Moroni | Riccardo Nembrini | Nicola Ferro | Guglielmo Faggioli | Paolo Cremonesi

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From Implicit Data to Cognitive Models for Recommender Systems
Marko Tkalcic

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Group Dynamic and Group Recommender Systems for Decision Support
Hanif Emamgholizadeh | Francesco Ricci

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Interpretable Ranking Using LambdaMART (Abstract)
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Alberto Veneri

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Inverse Reinforcement Learning and Point of Interest Recommendations
David Massimo | Francesco Ricci

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Learning to Rank from Relevance Judgments Distributions
Alberto Purpura | Gianmaria Silvello | Gian Antonio Susto

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Pseudo-Relevance Feedback in the Era of Dense Retrieval
Nicola Tonellotto

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Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation
Giacomo Balloccu | Ludovico Boratto | Gianni Fenu | Mirko Marras

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Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems
Fernando Benjamín Pérez Maurera | Maurizio Ferrari Dacrema | Paolo Cremonesi

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Replication of Recommender Systems with Impressions
Fernando Benjamín Pérez Maurera | Maurizio Ferrari Dacrema | Paolo Cremonesi

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Revisiting Retrieval-based Approaches for Conversational Recommender Systems
Ahtsham Manzoor | Dietmar Jannach

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SOUR an Outliers Detection Algorithm in Learning to Rank (Abstract)
Federico Marcuzzi | Claudio Lucchese | Salvatore Orlando

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Sustainability driven Recommender Systems
Pavel Merinov | David Massimo | Francesco Ricci

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Towards an Information Retrieval Evaluation Library
Elias Bassani

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Proceedings of Text2Story - Fifth Workshop on Narrative Extraction From Texts held in conjunction with the 44th European Conference on Information Retrieval (ECIR 2022), Stavanger, Norway, April 10, 2022

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Proceedings of Text2Story - Fifth Workshop on Narrative Extraction From Texts held in conjunction with the 44th European Conference on Information Retrieval (ECIR 2022), Stavanger, Norway, April 10, 2022

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We Have the Best Words: From the Web-scale Extraction and Attribution of Quotes to Analyzing Negativity in U.S. Political Language
Andreas Spitz

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Robust and Multilingual Analysis of Historical Documents
Antoine Doucet

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Dynamic change detection in topics based on rolling LDAs
Jonas Rieger | Kai-Robin Lange | Jonathan Flossdorf | Carsten Jentsch

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Simplifying Multilingual News Clustering Through Projection From a Shared Space
João Santos | Afonso Mendes | Sebastião Miranda

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Causality Mining in Fiction
Margaret Meehan Dane Malenfant | Andrew Piper

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Changing the Narrative Perspective: From Ranking to Prompt-Based Generation of Entity Mentions
Mike Chen | Razvan C. Bunescu

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Understanding COVID-19 News Coverage using Medical NLP
Ali Emre Varol | Veysel Kocaman | Hasham Ul Haq | David Talby

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Extracting Impact Model Narratives from Social Services' Text
Bart Gajderowicz | Daniela Rosu | Mark S. Fox

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MARCUS: An Event-Centric NLP Pipeline that generates Character Arcs from Narratives
Sriharsh Bhyravajjula | Ujwal Narayan | Manish Shrivastava

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Comprehensive contextual visualization of a news archive for aiding story planning
Ishrat Rahman Sami | Tony Russell-Rose | Larisa N. Soldatova

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Time for some German? Pre-Training a Transformer-based Temporal Tagger for German
Satya Almasian | Dennis Aumiller | Michael Gertz

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EnDSUM: Entropy and Diversity based Disaster Tweet Summarization
Piyush Kumar Garg | Roshni Chakraborty | Sourav Kumar Dandapat

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Exploring Data Augmentation for Classification of Climate Change Denial: Preliminary Study
Jakub Piskorski | Nikolaos Nikolaidis | Nicolas Stefanovitch | Bonka Kotseva | Irene Vianini | Sopho Kharazi | Jens P. Linge

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Text2Icons: linking icons to narrative participants (position paper)
Joana Valente | Alípio Jorge | Sérgio Nunes

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Proceedings of the 2nd Workshop Reducing Online Misinformation through Credible Information Retrieval 2022 co-located with The 44th European Conference on Information Retrieval (ECIR 2022), Stavanger, Norway, April 10, 2022

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Proceedings of the 2nd Workshop Reducing Online Misinformation through Credible Information Retrieval 2022 co-located with The 44th European Conference on Information Retrieval (ECIR 2022), Stavanger, Norway, April 10, 2022

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Using Keyqueries to Reduce Misinformation in Health-Related Search Results
Maik Fröbe | Sebastian Günther | Alexander Bondarenko | Johannes Huck | Matthias Hagen

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Fight Against COVID-19 Misinformation via Clustering-Based Subset Selection Fusion Methods
Yidong Huang | Qiuyu Xu | Shengli Wu | Christopher Nugent | Adrian Moore

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Suspicious Sentence Detection and Claim Verification in the COVID-19 Domain
Elitsa Pankovska | Konstantin Schulz | Georg Rehm

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Cognitive Security and Resilience: A Social Ecological Model of Disinformation and other Harms with Applications to COVID-19 Vaccine Information Behaviors
Shawn Janzen | Carolin Orr | Sara-Jayne Terp

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An Alternative Approach to Ranking Videos and Measuring Dissimilarity Between Video Content and Titles
Kalp Abhinn Aghada

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Towards Characterizing Coordinated Inauthentic Behaviors on YouTube
Baris Kirdemir | Oluwaseyi Adeliyi | Nitin Agarwal

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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

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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

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A Child-Friendly Approach to Spoken Conversational Search
Thomas Beelen | Khiet P. Truong | Roeland Ordelman | Ella Velner | Vanessa Evers | Theo Huibers

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A human-ML collaboration framework for improving video content reviews
Meghana Deodhar | Xiao Ma | Yixin Cai | Alex Koes | Alex Beutel | Jilin Chen

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Adaptive Re-Ranking as an Information-Seeking Agent
Sean MacAvaney | Nicola Tonellotto | Craig Macdonald

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Bias mitigation in recommender systems to improve diversity
Du Cheng | Doruk Kilitçioglu | Serdar Kadioglu

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Conversational Information Retrieval using Knowledge Graphs
Pruthvi Raj Venkatesh | K. Chaitanya | Rishu Kumar | P. Radha Krishna

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Creating a framework for a Benchmark Religion Dataset
Deepa Muralidhar | Ashwin Ashok

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Deepfake Audio Detection Via Feature Engineering And Machine Learning
Farkhund Iqbal | Ahmed Abbasi | Abdul Rehman Javed | Zunera Jalil | Jamal Al-Karaki

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Developing a noise-aware AI system for change risk assessment with minimal human intervention
Subhadip Paul | Anirban Chatterjee | Binay Gupta | Kunal Banerjee

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Diversity enhancement for collaborative filtering recommendation
Yankai Liu

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Estimating The MBTI Of Twitter Accounts With Graph Neural Networks Over Neo4j
Georgios Drakopoulos | Eleanna Kafeza

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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

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Explainability for Misinformation in Financial Statements
Sushodhan Vaishampayan | Akshada Shinde | Aditi Pawde | Sachin Pawar | Manoj Apte | Girish Keshav Palshikar

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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 A. Wijaya | Mateja Jamnik | Pietro Liò

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Explaining Convolutional Neural Networks by Tagging Filters
Anna Nguyen | Daniel Hagenmayer | Tobias Weller | Michael Färber

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Extreme Learning Machines For Efficient Speech Emotion Estimation In Julia
Georgios Drakopoulos | Phivos Mylonas

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Fast optimization of weighted sparse decision trees for use in optimal treatment regimes and optimal policy design
Ali Behrouz | Mathias Lécuyer | Cynthia Rudin | Mango I. Seltzer

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Finding components of a good accuracy with XAI!
Benjamin Chamand | Olivier Risser-Maroix

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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

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Globally local and fast explanations of t-SNE-like nonlinear embeddings
Pierre Lambert | Rebecca Marion | Julien Albert | Emmanuel Jean | Sacha Corbugy | Cyril de Bodt

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Graph Neural Networks For Affective Social Media: A Comprehensive Overview
Michail Karavokyris | Spyros Sioutas

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HITL IRL: 12 Reflections on Expertise Finding and Engagement for a Large Data Curation Team
Brendan Coon

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Human-AI Collaboration for Improving the Identification of Cars for Autonomous Driving
Edwin Gamboa | Alejandro Libreros | Matthias Hirth | Dan Dubiner

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Human-Robot Interactions Using Affective Computing
Anthony Tzes

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Interpretability in Activation Space Analysis of Transformers: A Focused Survey
Soniya Vijayakumar

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Item-based variational auto-encoder for fair music recommendation
Jinhyeok Park | Dain Kim | Dongwoo Kim

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Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook
Baihan Lin

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Offensive text detection across languages and datasets using rule-based and hybrid methods
Kinga Gémes | Ádám Kovács | Gábor Recski

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Prediction of Mobile Coupon Use: Data Analytics of Influencing Factors
Shiqui Liu | Dickson K. W. Chiu | Kevin K. W. Ho

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Privacy Amplification for Episodic Training Methods
Vandy Tombs | Olivera Kotevska | Steven Young

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Privacy and transparency in graph machine learning: A unified perspective
Megha Kosla

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Privacy policy robustness to reverse engineering
A. Gilad Kusne | Olivera Kotevska

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RecFormer: personalized temporal-aware transformer for fair music recommendation
Wei-Yao Wang | Wei-Wei Du | Wen-Chih Peng

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STL-DP: Differentially Private Time Series Exploring Decomposition and Compression Methods
Kyunghee Kim | Minha Kim | Simon Woo

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Shortcomings of Interpretability Taxonomies for Deep Neural Networks
Anders Søgaard

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Towards A Real-Time Emergency Response Model For Connected And Autonomous Vehicles
Yen-Hung Liu | Otávio de Paula Albuquerque | Patrick C. K. Hung | Hossam A. Gabbar | Marcelo Fantinato | Farkhund Iqbal

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Towards Mixed-Initiative Conversational Information Seeking
Hamed Zamani

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Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts
Tabish Ahmed | Sahan Bulathwela

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Towards a theoretical formalization of conversational recommendation
Tommaso Di Noia | Francesco Maria Donini | Dietmar Jannach | Fedelucio Narducci | Claudio Pomo

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Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework
Wei-Wei Du | Wei-Yao Wang | Wen-Chih Peng

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Triplet losses-based matrix factorization for robust recommendations
Flavio Giobergia

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Want robust explanations? Get smoother predictions first
Deddy Jobson

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k-Means SubClustering: A Differentially Private Algorithm with Improved Clustering Quality
Devvrat Joshi | Janvi Thakkar

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Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022

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Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022

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A Two-Phased Approach to Training Data Generation for Shopping Query Intent Prediction
Gautam Kumar | Chikara Hashimoto

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Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction
Yingyi Zhang | Xianneng Li | Yahe Yu | Jian Tang | Huanfang Deng | Junya Lu | Yeyin Zhang | Qiancheng Jiang | Yunsen Xian | Liqian Yu

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Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation
Qian Yu | Xiangdong Wu | Chen Yang | Zihao Zhao | Haoxin Liu | Chaosheng Fan | Changping Peng | Zhangang Lin | Jinghe Hu | Jingping Shao

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Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction
Tesi Xiao | Xia Xiao | Ming Chen | Youlong Chen

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LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents
Debanjan Mahata | Navneet Agarwal | Dibya Gautam | Amardeep Kumar | Swapnil Parekh | Yaman Kumar Singla | Anish Acharya | Rajiv Ratn Shah

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Partial Relaxed Optimal Transport for Denoised Recommendation
Yanchao Tan | Carl Yang | Xiangyu Wei | Ziyue Wu | Weiming Liu | Xiaolin Zheng

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Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning
Osayande P. Omondiagbe | Sherlock A. Licorish | Stephen G. MacDonell

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Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
Vito Walter Anelli | Yashar Deldjoo | Tommaso Di Noia | Eugenio Di Sciascio | Antonio Ferrara | Daniele Malitesta | Claudio Pomo

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Session-based Recommendation with Dual Graph Networks
Tajuddeen Rabiu Gwadabe | Mohammed Ali Mohammed Al-Hababi | Ying Liu

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Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services
Shaochuan Lin | Yicong Yu | Xiyu Ji | Taotao Zhou | Hengxu He | Zisen Sang | Jia Jia | Guodong Cao | Ning Hu

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TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
Xue Li | Wei Shen | Denis Charles

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Twice - Twitter Content Embeddings
Xianjing Liu | Behzad Golshan | Kenny Leung | Aman Saini | Vivek Kulkarni | Ali Mollahosseini | Jeff Mo

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Proceedings of the 12th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 44th European Conference on Information Retrieval (ECIR 2022), Stavanger, Norway (hybrid), April 10th, 2022

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Proceedings of the 12th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 44th European Conference on Information Retrieval (ECIR 2022), Stavanger, Norway (hybrid), April 10th, 2022

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Preface to the 12th Workshop on Bibliometric-enhanced Information Retrieval at ECIR 2022

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Pitfalls and promises of BIR in science studies: A case study of mapping scientific articles to the United Nations Sustainable Development Goals
Frédérique Bordignon

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Can AI-estimated article quality be used to rank scholarly documents?
Mike Thelwall

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Evaluating Neural Multi-Field Document Representations for Patent Classification
Subhash Chandra Pujari | Fryderyk Mantiuk | Mark Giereth | Jannik Strötgen | Annemarie Friedrich

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Long Tailed Entity Extraction of Model Names using Distant Supervision
Swayatta Daw | Vikram Pudi

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Which Publications' Metadata Are in Which Bibliographic Databases? A System for Exploration
Michael Färber | Christoph Braun | Nicholas Popovic | Tarek Saier | Kristian Noullet

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MeSH2Matrix: Machine learning-driven biomedical relation classification based on the MeSH keywords of PubMed scholarly publications
Houcemeddine Turki | Bonaventure F. P. Dossou | Chris Chinenye Emezue | Mohamed Ali Hadj Taieb | Mohamed Ben Aouicha | Hanen Ben Hassen | Afif Masmoudi

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Mapping the Trending Topics of Bibliometric-enhanced Information Retrieval
Francisco Bolaños