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cs.AIcs.CLcs.LGcs.DLCOVID-19cs.SDeess.ASMachine learning algorithmsText miningBibliometry

On Valency

published · living versions
W_rvup3mfq·v1 · currentpublished

Preprints & journals

20 papers in the corpus · 2022–2026
VoiceNet: Fine-Grained Voice Understanding Beyond Emotion at Scale2609.32016v1 · Christoph Schuhmann, Robert Kaczmarczyk, Gollam Rabby et al.2026 · 0 citationsarXiv
SelfCheck-Eval: A multi-module framework for zero-resource hallucination detection in large language models.42328200 · Muhammed, Diyana, Tuccari, Giusy Giulia, Rabby, Gollam et al.2026 · 0 citationsPatterns (New York, N.Y.). 2026;7(6):101569
MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility2605.16616v1 · Sasi Kiran Gaddipati, Diyana Muhammed, Farhana Keya et al.2026 · 1 citationarXiv
Towards AI-Supported Research: a Vision of the TIB AIssistant2512.16447v1 · Soren Auer, Allard Oelen, Mohamad Yaser Jaradeh et al.2025 · 0 citationsarXiv
AISSISTANT: Human-AI Collaborative Review and Perspective Research Workflows in Data Science2509.12282v2 · Sasi Kiran Gaddipati, Farhana Keya, Gollam Rabby et al.2025 · 0 citationsarXiv
SLEEPING-DISCO 9M: A large-scale pre-training dataset for generative music modeling2506.14293v4 · Tawsif Ahmed, Andrej Radonjic, Gollam Rabby2025 · 0 citationsarXiv
EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection2506.09827v3 · Christoph Schuhmann, Robert Kaczmarczyk, Gollam Rabby et al.2025 · 0 citationsarXiv
EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition2505.20033v2 · Christoph Schuhmann, Robert Kaczmarczyk, Gollam Rabby et al.2025 · 1 citationarXiv
SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings2503.19257v1 · Farhana Keya, Gollam Rabby, Prasenjit Mitra et al.2025 · 1 citationarXiv
Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs2502.19413v2 · Christoph Schuhmann, Gollam Rabby, Ameya Prabhu et al.2025 · 0 citationsarXiv
Fine-tuning and Prompt Engineering with Cognitive Knowledge Graphs for Scholarly Knowledge Organization2409.06433v1 · Gollam Rabby, Soren Auer, Jennifer D'Souza et al.2024 · 0 citationsarXiv
Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph.38017587 · Rabby, Gollam, D'Souza, Jennifer, Oelen, Allard et al.2023 · 4 citationsJournal of biomedical semantics. 2023;14(1):18
Multi-class classification of COVID-19 documents using machine learning algorithms.36465147 · Rabby, Gollam, Berka, Petr2024 · 32 citationsJournal of intelligent information systems. 2023;60(2):571-591
Why was this cited? Explainable machine learning applied to COVID-19 research literature.35431364 · Beranová, Lucie, Joachimiak, Marcin P, Kliegr, Tomáš et al.2026 · 18 citationsScientometrics. 2022;127(5):2313-2349
Career total: 40 works. 20 are in this corpus.

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