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BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval., , , , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 564-572. CEUR-WS.org, (2022)Do Easy Topics Predict Effectiveness Better Than Difficult Topics?, , and . ECIR, volume 10193 of Lecture Notes in Computer Science, page 605-611. (2017)Improving the Efficiency of Retrieval Effectiveness Evaluation: Finding a Few Good Topics with Clustering?, and . IIR, volume 1653 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems., , , and . WWW (Companion Volume), page 694-702. ACM / IW3C2, (2020)Crowdsourced Fact-checking: Does It Actually Work?, , , , , , , and . Inf. Process. Manag., 61 (5): 103792 (2024)Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin., , , and . SIGIR, page 1233-1236. ACM, (2018)DiLBERT: Cheap Embeddings for Disease Related Medical NLP., , , and . IEEE Access, (2021)A Neural Model to Jointly Predict and Explain Truthfulness of Statements., , , , and . ACM J. Data Inf. Qual., 15 (1): 4:1-4:19 (March 2023)Economic Evaluation of Recommender Systems: A Proposal., , and . IIR, volume 1911 of CEUR Workshop Proceedings, page 48-51. CEUR-WS.org, (2017)Automated ICF Coding of Rehabilitation Notes for Low-Resource Languages via Continual Training of Language Models., , , , , and . MIE, volume 302 of Studies in Health Technology and Informatics, page 763-767. IOS Press, (2023)