{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/decision-making/papers/117","list_of":"/task/decision-making","task":"Decision Making","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":117,"pages_in_order":124,"rows_per_page":100,"rows":[11601,11700],"of":12311,"counts":{"archive_papers_tagged":12311,"with_a_code_link":2946,"where_syntology_ran_a_sample":678,"not_listed_spam_title":0,"listed":12311,"listed_where_code_ran":678,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":560,"every_run_a_failure_of_syntologys_instrument":118,"listed_with_a_run_with_no_instrument_failure":560,"listed_every_run_a_failure_of_syntologys_instrument":118,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/decision-making","prev":"/task/decision-making/papers/116","next":"/task/decision-making/papers/118","papers":[{"url":null,"slug":"unsupervised-corpusawide-claim-detection","title":"Unsupervised corpus--wide claim detection","date":"2017-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-complex-argumentative-interactions-to","title":"Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates","date":"2017-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-learning-approach-for-population","title":"A Deep Learning Approach for Population Estimation from Satellite Imagery","date":"2017-08-30","arxiv_id":"1708.09086","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-generalized-reactive-policies-using","title":"Learning Generalized Reactive Policies using Deep Neural Networks","date":"2017-08-24","arxiv_id":"1708.07280","repositories_listed":0,"syntology":null},{"url":null,"slug":"applications-of-trajectory-data-from-the","title":"Applications of Trajectory Data from the Perspective of a Road Transportation Agency: Literature Review and Maryland Case Study","date":"2017-08-23","arxiv_id":"1708.07193","repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-in-vivo-textural-model-for-human","title":"Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms","date":"2017-08-18","arxiv_id":"1706.02758","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-contextual-bandit-via-the-capped-ell_2","title":"Robust Contextual Bandit via the Capped-$\\ell_{2}$ norm","date":"2017-08-17","arxiv_id":"1708.05446","repositories_listed":0,"syntology":null},{"url":null,"slug":"fixed-effects-testing-in-high-dimensional","title":"Fixed effects testing in high-dimensional linear mixed models","date":"2017-08-14","arxiv_id":"1708.04887","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-policies-for-adaptive-tracking-with","title":"Learning Policies for Adaptive Tracking with Deep Feature Cascades","date":"2017-08-09","arxiv_id":"1708.02973","repositories_listed":0,"syntology":null},{"url":null,"slug":"empathy-in-bimatrix-games","title":"Empathy in Bimatrix Games","date":"2017-08-06","arxiv_id":"1708.01910","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-aware-machine-learning-a-perspective","title":"Fairness-aware machine learning: a perspective","date":"2017-08-02","arxiv_id":"1708.00754","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-diagnosis-coding-of-radiology","title":"Automatic Diagnosis Coding of Radiology Reports: A Comparison of Deep Learning and Conventional Classification Methods","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"balancing-explicability-and-explanation-in","title":"Balancing Explicability and Explanation in Human-Aware Planning","date":"2017-08-01","arxiv_id":"1708.00543","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistent-k-clustering","title":"Consistent k-Clustering","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"counterfactual-data-fusion-for-online","title":"Counterfactual Data-Fusion for Online Reinforcement Learners","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"iitp-at-semeval-2017-task-8-a-supervised","title":"IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"in-your-wildest-dreams-the-language-and","title":"In your wildest dreams: the language and psychological features of dreams","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-stock-market-sentiment-lexicon-and","title":"Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"safety-aware-algorithms-for-adversarial","title":"Safety-Aware Algorithms for Adversarial Contextual Bandit","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ssn_mlrg1-at-semeval-2017-task-5-fine-grained","title":"SSN\\_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tw-star-at-semeval-2017-task-4-sentiment","title":"Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-stakeholder-recommendation-applications","title":"Multi-Stakeholder Recommendation: Applications and Challenges","date":"2017-07-27","arxiv_id":"1707.08913","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-stationary-bandits-with-habituation-and","title":"Non-Stationary Bandits with Habituation and Recovery Dynamics","date":"2017-07-26","arxiv_id":"1707.08423","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-for-multi-robot-cooperation-in","title":"Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions","date":"2017-07-24","arxiv_id":"1707.07399","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-for-structured-clinical-data","title":"Machine Learning for Structured Clinical Data","date":"2017-07-21","arxiv_id":"1707.06997","repositories_listed":0,"syntology":null},{"url":null,"slug":"pragmatic-pedagogic-value-alignment","title":"Pragmatic-Pedagogic Value Alignment","date":"2017-07-20","arxiv_id":"1707.06354","repositories_listed":0,"syntology":null},{"url":null,"slug":"simultaneously-solving-mixed-model-assembly","title":"Simultaneously Solving Mixed Model Assembly Line Balancing and Sequencing problems with FSS Algorithm","date":"2017-07-19","arxiv_id":"1707.06185","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-guide-to-performing-systematic-literature","title":"A guide to performing systematic literature reviews in bioinformatics","date":"2017-07-18","arxiv_id":"1707.05813","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-to-attend-to-risk-in-icu","title":"Deep Learning to Attend to Risk in ICU","date":"2017-07-17","arxiv_id":"1707.05010","repositories_listed":0,"syntology":null},{"url":null,"slug":"tracking-as-online-decision-making-learning-a","title":"Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning","date":"2017-07-17","arxiv_id":"1707.04991","repositories_listed":0,"syntology":null},{"url":null,"slug":"freeway-merging-in-congested-traffic-based-on","title":"Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic","date":"2017-07-14","arxiv_id":"1707.04489","repositories_listed":0,"syntology":null},{"url":null,"slug":"automation-of-feature-engineering-for-iot","title":"Automation of Feature Engineering for IoT Analytics","date":"2017-07-13","arxiv_id":"1707.04067","repositories_listed":0,"syntology":null},{"url":null,"slug":"conflict-analysis-for-pythagorean-fuzzy","title":"Conflict Analysis for Pythagorean Fuzzy Information Systems with Group Decision Making","date":"2017-07-12","arxiv_id":"1707.03739","repositories_listed":0,"syntology":null},{"url":null,"slug":"correlational-dueling-bandits-with","title":"Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces","date":"2017-07-08","arxiv_id":"1707.02375","repositories_listed":0,"syntology":null},{"url":null,"slug":"application-of-fuzzy-assessing-for","title":"Application of Fuzzy Assessing for Reliability Decision Making","date":"2017-07-06","arxiv_id":"1707.01727","repositories_listed":0,"syntology":null},{"url":null,"slug":"calibrated-fairness-in-bandits","title":"Calibrated Fairness in Bandits","date":"2017-07-06","arxiv_id":"1707.01875","repositories_listed":0,"syntology":null},{"url":null,"slug":"fair-pipelines","title":"Fair Pipelines","date":"2017-07-03","arxiv_id":"1707.00391","repositories_listed":0,"syntology":null},{"url":null,"slug":"emonet-fine-grained-emotion-detection-with","title":"EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-forward-through-opportunistic","title":"Fast Forward Through Opportunistic Incremental Meaning Representation Construction","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nlp-for-precision-medicine","title":"NLP for Precision Medicine","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"program-induction-by-rationale-generation-1","title":"Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fairer-and-more-accurate-but-for-whom","title":"Fairer and more accurate, but for whom?","date":"2017-06-30","arxiv_id":"1707.00046","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-fairness-diversity-and-randomness-in","title":"On Fairness, Diversity and Randomness in Algorithmic Decision Making","date":"2017-06-30","arxiv_id":"1706.10208","repositories_listed":0,"syntology":null},{"url":null,"slug":"tableaux-for-policy-synthesis-for-mdps-with","title":"Tableaux for Policy Synthesis for MDPs with PCTL* Constraints","date":"2017-06-30","arxiv_id":"1706.10102","repositories_listed":0,"syntology":null},{"url":null,"slug":"transforming-musical-signals-through-a-genre","title":"Transforming Musical Signals through a Genre Classifying Convolutional Neural Network","date":"2017-06-29","arxiv_id":"1706.09553","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-encoder-decoder-models-for-task","title":"Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability","date":"2017-06-26","arxiv_id":"1706.08476","repositories_listed":0,"syntology":null},{"url":null,"slug":"genetic-variation-in-human-drug-related-genes","title":"Genetic variation in human drug-related genes","date":"2017-06-26","arxiv_id":"1706.08238","repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-inferences-for-polarity","title":"Statistical Inferences for Polarity Identification in Natural Language","date":"2017-06-21","arxiv_id":"1706.06996","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-theory-is-predictive-but-is-it-complete","title":"The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness","date":"2017-06-21","arxiv_id":"1706.06974","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-location-sentiment-aware-recommender-system","title":"A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users","date":"2017-06-20","arxiv_id":"1706.06239","repositories_listed":0,"syntology":null},{"url":null,"slug":"recovering-dense-tissue-multispectral-signal","title":"Recovering Dense Tissue Multispectral Signal from in vivo RGB Images","date":"2017-06-20","arxiv_id":"1707.03468","repositories_listed":0,"syntology":null},{"url":null,"slug":"endoscopic-depth-measurement-and-super","title":"Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging","date":"2017-06-19","arxiv_id":"1706.06081","repositories_listed":0,"syntology":null},{"url":null,"slug":"logics-and-practices-of-transparency-and","title":"Logics and practices of transparency and opacity in real-world applications of public sector machine learning","date":"2017-06-19","arxiv_id":"1706.09249","repositories_listed":0,"syntology":null},{"url":null,"slug":"decline-of-long-range-temporal-correlations","title":"Decline of long-range temporal correlations in the human brain during sustained wakefulness","date":"2017-06-12","arxiv_id":"1706.03835","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-interplay-between-long-and-short-range","title":"The interplay between long- and short-range temporal correlations shapes cortex dynamics across vigilance states","date":"2017-06-12","arxiv_id":"1706.03836","repositories_listed":0,"syntology":null},{"url":null,"slug":"seamless-integration-and-coordination-of","title":"Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach","date":"2017-06-08","arxiv_id":"1706.02423","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlocking-the-potential-of-simulators-design","title":"Unlocking the Potential of Simulators: Design with RL in Mind","date":"2017-06-08","arxiv_id":"1706.02501","repositories_listed":0,"syntology":null},{"url":null,"slug":"bandit-models-of-human-behavior-reward","title":"Bandit Models of Human Behavior: Reward Processing in Mental Disorders","date":"2017-06-07","arxiv_id":"1706.02897","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-method-for-the-online-construction-of-the","title":"A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming","date":"2017-06-05","arxiv_id":"1706.01417","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-latent-attention-within-neural","title":"Modeling Latent Attention Within Neural Networks","date":"2017-06-02","arxiv_id":"1706.00536","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-fairness","title":"Bayesian fairness","date":"2017-05-31","arxiv_id":"1706.00119","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequential-dynamic-decision-making-with-deep","title":"Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget","date":"2017-05-31","arxiv_id":"1705.10924","repositories_listed":0,"syntology":null},{"url":null,"slug":"boltzmann-exploration-done-right","title":"Boltzmann Exploration Done Right","date":"2017-05-29","arxiv_id":"1705.10257","repositories_listed":0,"syntology":null},{"url":null,"slug":"growth-optimal-portfolio-selection-under-cvar","title":"Growth-Optimal Portfolio Selection under CVaR Constraints","date":"2017-05-27","arxiv_id":"1705.09800","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-and-information-thermodynamic","title":"Stochastic and Information-thermodynamic Structures of Population Dynamics in Fluctuating Environment","date":"2017-05-27","arxiv_id":"1703.00125","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuous-state-space-models-for-optimal","title":"Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach","date":"2017-05-23","arxiv_id":"1705.08422","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-probability-updating-from-zero-prior","title":"Quantum probability updating from zero prior (by-passing Cromwell's rule)","date":"2017-05-23","arxiv_id":"1705.08128","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-mix-n-step-returns-generalizing","title":"Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning","date":"2017-05-21","arxiv_id":"1705.07445","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-factor-policies-and-action-value","title":"Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning","date":"2017-05-20","arxiv_id":"1705.07269","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-conference-paper-assignment-problem-using","title":"The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods","date":"2017-05-19","arxiv_id":"1705.06840","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-continuous-opinion-dynamic-model-in-co","title":"A Continuous Opinion Dynamic Model in Co-evolving Networks--A Novel Group Decision Approach","date":"2017-05-17","arxiv_id":"1705.05981","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-method-for-determining-weights-of-criterias","title":"A Method for Determining Weights of Criterias and Alternative of Fuzzy Group Decision Making Problem","date":"2017-05-16","arxiv_id":"1705.05515","repositories_listed":0,"syntology":null},{"url":null,"slug":"emotion-in-reinforcement-learning-agents-and","title":"Emotion in Reinforcement Learning Agents and Robots: A Survey","date":"2017-05-15","arxiv_id":"1705.05172","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-decision-making-in-groups-is-hard","title":"Bayesian Decision Making in Groups is Hard","date":"2017-05-12","arxiv_id":"1705.04770","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-evidential-markov-decision-making-model","title":"An evidential Markov decision making model","date":"2017-05-10","arxiv_id":"1705.06578","repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-of-the-workshop-on-data-mining","title":"Proceedings of the Workshop on Data Mining for Oil and Gas","date":"2017-05-09","arxiv_id":"1705.03451","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-medical-diagnosis-method-based-on-z","title":"A New Medical Diagnosis Method Based on Z-Numbers","date":"2017-05-07","arxiv_id":"1705.02620","repositories_listed":0,"syntology":null},{"url":null,"slug":"answer-set-programming-for-non-stationary","title":"Answer Set Programming for Non-Stationary Markov Decision Processes","date":"2017-05-03","arxiv_id":"1705.01399","repositories_listed":0,"syntology":null},{"url":null,"slug":"argumentation-based-security-for-social-good","title":"Argumentation-based Security for Social Good","date":"2017-05-01","arxiv_id":"1705.00732","repositories_listed":0,"syntology":null},{"url":null,"slug":"target-oriented-high-resolution-sar-image","title":"Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations","date":"2017-04-24","arxiv_id":"1704.07082","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-spatial-data-mining-approach-based","title":"A hybrid spatial data mining approach based on fuzzy topological relations and MOSES evolutionary algorithm","date":"2017-04-21","arxiv_id":"1704.06621","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-joint-probability-linear","title":"Multi-view (Joint) Probability Linear Discrimination Analysis for Multi-view Feature Verification","date":"2017-04-20","arxiv_id":"1704.06061","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-magic-barrier-revisited-accessing-natural","title":"The Magic Barrier Revisited: Accessing Natural Limitations of Recommender Assessment","date":"2017-04-19","arxiv_id":"1704.05841","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-role-of-extrinsic-noise-in-microrna","title":"On the role of extrinsic noise in microRNA-mediated bimodal gene expression","date":"2017-04-18","arxiv_id":"1611.00666","repositories_listed":0,"syntology":null},{"url":null,"slug":"lean-from-thy-neighbor-stochastic-adversarial","title":"Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network","date":"2017-04-14","arxiv_id":"1704.04470","repositories_listed":0,"syntology":null},{"url":null,"slug":"simplifying-credit-scoring-rules-using-lvq","title":"Simplifying credit scoring rules using LVQ+PSO","date":"2017-04-14","arxiv_id":"1704.04450","repositories_listed":0,"syntology":null},{"url":null,"slug":"ultrafast-photonic-reinforcement-learning","title":"Ultrafast photonic reinforcement learning based on laser chaos","date":"2017-04-14","arxiv_id":"1704.04379","repositories_listed":0,"syntology":null},{"url":null,"slug":"explaining-the-unexplained-a-class-enhanced","title":"Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks","date":"2017-04-13","arxiv_id":"1704.04133","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-based-image","title":"Deep Reinforcement Learning-based Image Captioning with Embedding Reward","date":"2017-04-12","arxiv_id":"1704.03899","repositories_listed":0,"syntology":null},{"url":null,"slug":"personalized-survival-predictions-for-cardiac","title":"Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors","date":"2017-04-11","arxiv_id":"1704.03458","repositories_listed":0,"syntology":null},{"url":null,"slug":"clothing-and-people-a-social-signal","title":"Clothing and People - A Social Signal Processing Perspective","date":"2017-04-07","arxiv_id":"1704.02231","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-ensembles-of-quantum-classifiers","title":"Quantum ensembles of quantum classifiers","date":"2017-04-07","arxiv_id":"1704.02146","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometry-of-policy-improvement","title":"Geometry of Policy Improvement","date":"2017-04-06","arxiv_id":"1704.01785","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-quality-of-priority-ratios-estimation-in","title":"The quality of priority ratios estimation in relation to a selected prioritization procedure and consistency measure for a Pairwise Comparison Matrix","date":"2017-04-06","arxiv_id":"1704.01944","repositories_listed":0,"syntology":null},{"url":null,"slug":"common-round-application-of-language","title":"Common Round: Application of Language Technologies to Large-Scale Web Debates","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"consistent-classification-of-translation-1","title":"Consistent Classification of Translation Revisions: A Case Study of English-Japanese Student Translations","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-bidirectional-long-short-term","title":"Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"elucidating-conceptual-properties-from-word","title":"Elucidating Conceptual Properties from Word Embeddings","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ethical-research-protocols-for-social-media","title":"Ethical Research Protocols for Social Media Health Research","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-scope-and-focus-of-negation-a-complete","title":"The Scope and Focus of Negation: A Complete Annotation Framework for Italian","date":"2017-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"1cb02cc75c855111741412cab5fe7ee60b21642a6ddbbd58b75b7c3d401cabe9","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}